Files
PythonProject/html/OpenBCI_report_sv.html

17442 lines
2.6 MiB

<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8">
<link rel="icon" href="data:image/x-icon;base64,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" type="image/x-icon" />
<script> /*! jQuery v3.7.1 | (c) OpenJS Foundation and other contributors | jquery.org/license */
!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(ie,e){"use strict";var oe=[],r=Object.getPrototypeOf,ae=oe.slice,g=oe.flat?function(e){return oe.flat.call(e)}:function(e){return oe.concat.apply([],e)},s=oe.push,se=oe.indexOf,n={},i=n.toString,ue=n.hasOwnProperty,o=ue.toString,a=o.call(Object),le={},v=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},y=function(e){return null!=e&&e===e.window},C=ie.document,u={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||C).createElement("script");if(o.text=e,t)for(r in u)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[i.call(e)]||"object":typeof e}var t="3.7.1",l=/HTML$/i,ce=function(e,t){return new ce.fn.init(e,t)};function c(e){var t=!!e&&"length"in e&&e.length,n=x(e);return!v(e)&&!y(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}function fe(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}ce.fn=ce.prototype={jquery:t,constructor:ce,length:0,toArray:function(){return ae.call(this)},get:function(e){return null==e?ae.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=ce.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return ce.each(this,e)},map:function(n){return this.pushStack(ce.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(ae.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(ce.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(ce.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:s,sort:oe.sort,splice:oe.splice},ce.extend=ce.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||v(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(ce.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||ce.isPlainObject(n)?n:{},i=!1,a[t]=ce.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},ce.extend({expando:"jQuery"+(t+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==i.call(e))&&(!(t=r(e))||"function"==typeof(n=ue.call(t,"constructor")&&t.constructor)&&o.call(n)===a)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(c(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},text:function(e){var t,n="",r=0,i=e.nodeType;if(!i)while(t=e[r++])n+=ce.text(t);return 1===i||11===i?e.textContent:9===i?e.documentElement.textContent:3===i||4===i?e.nodeValue:n},makeArray:function(e,t){var n=t||[];return null!=e&&(c(Object(e))?ce.merge(n,"string"==typeof e?[e]:e):s.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:se.call(t,e,n)},isXMLDoc:function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!l.test(t||n&&n.nodeName||"HTML")},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(c(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:le}),"function"==typeof Symbol&&(ce.fn[Symbol.iterator]=oe[Symbol.iterator]),ce.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var pe=oe.pop,de=oe.sort,he=oe.splice,ge="[\\x20\\t\\r\\n\\f]",ve=new RegExp("^"+ge+"+|((?:^|[^\\\\])(?:\\\\.)*)"+ge+"+$","g");ce.contains=function(e,t){var n=t&&t.parentNode;return e===n||!(!n||1!==n.nodeType||!(e.contains?e.contains(n):e.compareDocumentPosition&&16&e.compareDocumentPosition(n)))};var f=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\x80-\uFFFF\w-]/g;function p(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e}ce.escapeSelector=function(e){return(e+"").replace(f,p)};var ye=C,me=s;!function(){var e,b,w,o,a,T,r,C,d,i,k=me,S=ce.expando,E=0,n=0,s=W(),c=W(),u=W(),h=W(),l=function(e,t){return e===t&&(a=!0),0},f="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",t="(?:\\\\[\\da-fA-F]{1,6}"+ge+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",p="\\["+ge+"*("+t+")(?:"+ge+"*([*^$|!~]?=)"+ge+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+t+"))|)"+ge+"*\\]",g=":("+t+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+p+")*)|.*)\\)|)",v=new RegExp(ge+"+","g"),y=new RegExp("^"+ge+"*,"+ge+"*"),m=new RegExp("^"+ge+"*([>+~]|"+ge+")"+ge+"*"),x=new RegExp(ge+"|>"),j=new RegExp(g),A=new RegExp("^"+t+"$"),D={ID:new RegExp("^#("+t+")"),CLASS:new RegExp("^\\.("+t+")"),TAG:new RegExp("^("+t+"|[*])"),ATTR:new RegExp("^"+p),PSEUDO:new RegExp("^"+g),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+ge+"*(even|odd|(([+-]|)(\\d*)n|)"+ge+"*(?:([+-]|)"+ge+"*(\\d+)|))"+ge+"*\\)|)","i"),bool:new RegExp("^(?:"+f+")$","i"),needsContext:new RegExp("^"+ge+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+ge+"*((?:-\\d)?\\d*)"+ge+"*\\)|)(?=[^-]|$)","i")},N=/^(?:input|select|textarea|button)$/i,q=/^h\d$/i,L=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,H=/[+~]/,O=new RegExp("\\\\[\\da-fA-F]{1,6}"+ge+"?|\\\\([^\\r\\n\\f])","g"),P=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},M=function(){V()},R=J(function(e){return!0===e.disabled&&fe(e,"fieldset")},{dir:"parentNode",next:"legend"});try{k.apply(oe=ae.call(ye.childNodes),ye.childNodes),oe[ye.childNodes.length].nodeType}catch(e){k={apply:function(e,t){me.apply(e,ae.call(t))},call:function(e){me.apply(e,ae.call(arguments,1))}}}function I(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(V(e),e=e||T,C)){if(11!==p&&(u=L.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return k.call(n,a),n}else if(f&&(a=f.getElementById(i))&&I.contains(e,a)&&a.id===i)return k.call(n,a),n}else{if(u[2])return k.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&e.getElementsByClassName)return k.apply(n,e.getElementsByClassName(i)),n}if(!(h[t+" "]||d&&d.test(t))){if(c=t,f=e,1===p&&(x.test(t)||m.test(t))){(f=H.test(t)&&U(e.parentNode)||e)==e&&le.scope||((s=e.getAttribute("id"))?s=ce.escapeSelector(s):e.setAttribute("id",s=S)),o=(l=Y(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+Q(l[o]);c=l.join(",")}try{return k.apply(n,f.querySelectorAll(c)),n}catch(e){h(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return re(t.replace(ve,"$1"),e,n,r)}function W(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function F(e){return e[S]=!0,e}function $(e){var t=T.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function B(t){return function(e){return fe(e,"input")&&e.type===t}}function _(t){return function(e){return(fe(e,"input")||fe(e,"button"))&&e.type===t}}function z(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&R(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function X(a){return F(function(o){return o=+o,F(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function U(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}function V(e){var t,n=e?e.ownerDocument||e:ye;return n!=T&&9===n.nodeType&&n.documentElement&&(r=(T=n).documentElement,C=!ce.isXMLDoc(T),i=r.matches||r.webkitMatchesSelector||r.msMatchesSelector,r.msMatchesSelector&&ye!=T&&(t=T.defaultView)&&t.top!==t&&t.addEventListener("unload",M),le.getById=$(function(e){return r.appendChild(e).id=ce.expando,!T.getElementsByName||!T.getElementsByName(ce.expando).length}),le.disconnectedMatch=$(function(e){return i.call(e,"*")}),le.scope=$(function(){return T.querySelectorAll(":scope")}),le.cssHas=$(function(){try{return T.querySelector(":has(*,:jqfake)"),!1}catch(e){return!0}}),le.getById?(b.filter.ID=function(e){var t=e.replace(O,P);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&C){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(O,P);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&C){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):t.querySelectorAll(e)},b.find.CLASS=function(e,t){if("undefined"!=typeof t.getElementsByClassName&&C)return t.getElementsByClassName(e)},d=[],$(function(e){var t;r.appendChild(e).innerHTML="<a id='"+S+"' href='' disabled='disabled'></a><select id='"+S+"-\r\\' disabled='disabled'><option selected=''></option></select>",e.querySelectorAll("[selected]").length||d.push("\\["+ge+"*(?:value|"+f+")"),e.querySelectorAll("[id~="+S+"-]").length||d.push("~="),e.querySelectorAll("a#"+S+"+*").length||d.push(".#.+[+~]"),e.querySelectorAll(":checked").length||d.push(":checked"),(t=T.createElement("input")).setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),r.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&d.push(":enabled",":disabled"),(t=T.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||d.push("\\["+ge+"*name"+ge+"*="+ge+"*(?:''|\"\")")}),le.cssHas||d.push(":has"),d=d.length&&new RegExp(d.join("|")),l=function(e,t){if(e===t)return a=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!le.sortDetached&&t.compareDocumentPosition(e)===n?e===T||e.ownerDocument==ye&&I.contains(ye,e)?-1:t===T||t.ownerDocument==ye&&I.contains(ye,t)?1:o?se.call(o,e)-se.call(o,t):0:4&n?-1:1)}),T}for(e in I.matches=function(e,t){return I(e,null,null,t)},I.matchesSelector=function(e,t){if(V(e),C&&!h[t+" "]&&(!d||!d.test(t)))try{var n=i.call(e,t);if(n||le.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){h(t,!0)}return 0<I(t,T,null,[e]).length},I.contains=function(e,t){return(e.ownerDocument||e)!=T&&V(e),ce.contains(e,t)},I.attr=function(e,t){(e.ownerDocument||e)!=T&&V(e);var n=b.attrHandle[t.toLowerCase()],r=n&&ue.call(b.attrHandle,t.toLowerCase())?n(e,t,!C):void 0;return void 0!==r?r:e.getAttribute(t)},I.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},ce.uniqueSort=function(e){var t,n=[],r=0,i=0;if(a=!le.sortStable,o=!le.sortStable&&ae.call(e,0),de.call(e,l),a){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)he.call(e,n[r],1)}return o=null,e},ce.fn.uniqueSort=function(){return this.pushStack(ce.uniqueSort(ae.apply(this)))},(b=ce.expr={cacheLength:50,createPseudo:F,match:D,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(O,P),e[3]=(e[3]||e[4]||e[5]||"").replace(O,P),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||I.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&I.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return D.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&j.test(n)&&(t=Y(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(O,P).toLowerCase();return"*"===e?function(){return!0}:function(e){return fe(e,t)}},CLASS:function(e){var t=s[e+" "];return t||(t=new RegExp("(^|"+ge+")"+e+"("+ge+"|$)"))&&s(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=I.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(v," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(d,e,t,h,g){var v="nth"!==d.slice(0,3),y="last"!==d.slice(-4),m="of-type"===e;return 1===h&&0===g?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u=v!==y?"nextSibling":"previousSibling",l=e.parentNode,c=m&&e.nodeName.toLowerCase(),f=!n&&!m,p=!1;if(l){if(v){while(u){o=e;while(o=o[u])if(m?fe(o,c):1===o.nodeType)return!1;s=u="only"===d&&!s&&"nextSibling"}return!0}if(s=[y?l.firstChild:l.lastChild],y&&f){p=(a=(r=(i=l[S]||(l[S]={}))[d]||[])[0]===E&&r[1])&&r[2],o=a&&l.childNodes[a];while(o=++a&&o&&o[u]||(p=a=0)||s.pop())if(1===o.nodeType&&++p&&o===e){i[d]=[E,a,p];break}}else if(f&&(p=a=(r=(i=e[S]||(e[S]={}))[d]||[])[0]===E&&r[1]),!1===p)while(o=++a&&o&&o[u]||(p=a=0)||s.pop())if((m?fe(o,c):1===o.nodeType)&&++p&&(f&&((i=o[S]||(o[S]={}))[d]=[E,p]),o===e))break;return(p-=g)===h||p%h==0&&0<=p/h}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||I.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?F(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=se.call(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:F(function(e){var r=[],i=[],s=ne(e.replace(ve,"$1"));return s[S]?F(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:F(function(t){return function(e){return 0<I(t,e).length}}),contains:F(function(t){return t=t.replace(O,P),function(e){return-1<(e.textContent||ce.text(e)).indexOf(t)}}),lang:F(function(n){return A.test(n||"")||I.error("unsupported lang: "+n),n=n.replace(O,P).toLowerCase(),function(e){var t;do{if(t=C?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=ie.location&&ie.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===r},focus:function(e){return e===function(){try{return T.activeElement}catch(e){}}()&&T.hasFocus()&&!!(e.type||e.href||~e.tabIndex)},enabled:z(!1),disabled:z(!0),checked:function(e){return fe(e,"input")&&!!e.checked||fe(e,"option")&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return q.test(e.nodeName)},input:function(e){return N.test(e.nodeName)},button:function(e){return fe(e,"input")&&"button"===e.type||fe(e,"button")},text:function(e){var t;return fe(e,"input")&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:X(function(){return[0]}),last:X(function(e,t){return[t-1]}),eq:X(function(e,t,n){return[n<0?n+t:n]}),even:X(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:X(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:X(function(e,t,n){var r;for(r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:X(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=B(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=_(e);function G(){}function Y(e,t){var n,r,i,o,a,s,u,l=c[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=y.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=m.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace(ve," ")}),a=a.slice(n.length)),b.filter)!(r=D[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?I.error(e):c(e,s).slice(0)}function Q(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function J(a,e,t){var s=e.dir,u=e.next,l=u||s,c=t&&"parentNode"===l,f=n++;return e.first?function(e,t,n){while(e=e[s])if(1===e.nodeType||c)return a(e,t,n);return!1}:function(e,t,n){var r,i,o=[E,f];if(n){while(e=e[s])if((1===e.nodeType||c)&&a(e,t,n))return!0}else while(e=e[s])if(1===e.nodeType||c)if(i=e[S]||(e[S]={}),u&&fe(e,u))e=e[s]||e;else{if((r=i[l])&&r[0]===E&&r[1]===f)return o[2]=r[2];if((i[l]=o)[2]=a(e,t,n))return!0}return!1}}function K(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Z(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function ee(d,h,g,v,y,e){return v&&!v[S]&&(v=ee(v)),y&&!y[S]&&(y=ee(y,e)),F(function(e,t,n,r){var i,o,a,s,u=[],l=[],c=t.length,f=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)I(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),p=!d||!e&&h?f:Z(f,u,d,n,r);if(g?g(p,s=y||(e?d:c||v)?[]:t,n,r):s=p,v){i=Z(s,l),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(s[l[o]]=!(p[l[o]]=a))}if(e){if(y||d){if(y){i=[],o=s.length;while(o--)(a=s[o])&&i.push(p[o]=a);y(null,s=[],i,r)}o=s.length;while(o--)(a=s[o])&&-1<(i=y?se.call(e,a):u[o])&&(e[i]=!(t[i]=a))}}else s=Z(s===t?s.splice(c,s.length):s),y?y(null,t,s,r):k.apply(t,s)})}function te(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=J(function(e){return e===i},a,!0),l=J(function(e){return-1<se.call(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!=w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[J(K(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return ee(1<s&&K(c),1<s&&Q(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace(ve,"$1"),t,s<n&&te(e.slice(s,n)),n<r&&te(e=e.slice(n)),n<r&&Q(e))}c.push(t)}return K(c)}function ne(e,t){var n,v,y,m,x,r,i=[],o=[],a=u[e+" "];if(!a){t||(t=Y(e)),n=t.length;while(n--)(a=te(t[n]))[S]?i.push(a):o.push(a);(a=u(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=E+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==T||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==T||(V(o),n=!C);while(s=v[a++])if(s(o,t||T,n)){k.call(r,o);break}i&&(E=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=pe.call(r));f=Z(f)}k.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&ce.uniqueSort(r)}return i&&(E=h,w=p),c},m?F(r):r))).selector=e}return a}function re(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&Y(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&C&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(O,P),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=D.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(O,P),H.test(o[0].type)&&U(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&Q(o)))return k.apply(n,r),n;break}}}return(l||ne(e,c))(r,t,!C,n,!t||H.test(e)&&U(t.parentNode)||t),n}G.prototype=b.filters=b.pseudos,b.setFilters=new G,le.sortStable=S.split("").sort(l).join("")===S,V(),le.sortDetached=$(function(e){return 1&e.compareDocumentPosition(T.createElement("fieldset"))}),ce.find=I,ce.expr[":"]=ce.expr.pseudos,ce.unique=ce.uniqueSort,I.compile=ne,I.select=re,I.setDocument=V,I.tokenize=Y,I.escape=ce.escapeSelector,I.getText=ce.text,I.isXML=ce.isXMLDoc,I.selectors=ce.expr,I.support=ce.support,I.uniqueSort=ce.uniqueSort}();var d=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&ce(e).is(n))break;r.push(e)}return r},h=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},b=ce.expr.match.needsContext,w=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function T(e,n,r){return v(n)?ce.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?ce.grep(e,function(e){return e===n!==r}):"string"!=typeof n?ce.grep(e,function(e){return-1<se.call(n,e)!==r}):ce.filter(n,e,r)}ce.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?ce.find.matchesSelector(r,e)?[r]:[]:ce.find.matches(e,ce.grep(t,function(e){return 1===e.nodeType}))},ce.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(ce(e).filter(function(){for(t=0;t<r;t++)if(ce.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)ce.find(e,i[t],n);return 1<r?ce.uniqueSort(n):n},filter:function(e){return this.pushStack(T(this,e||[],!1))},not:function(e){return this.pushStack(T(this,e||[],!0))},is:function(e){return!!T(this,"string"==typeof e&&b.test(e)?ce(e):e||[],!1).length}});var k,S=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(ce.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||k,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:S.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof ce?t[0]:t,ce.merge(this,ce.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:C,!0)),w.test(r[1])&&ce.isPlainObject(t))for(r in t)v(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=C.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):v(e)?void 0!==n.ready?n.ready(e):e(ce):ce.makeArray(e,this)}).prototype=ce.fn,k=ce(C);var E=/^(?:parents|prev(?:Until|All))/,j={children:!0,contents:!0,next:!0,prev:!0};function A(e,t){while((e=e[t])&&1!==e.nodeType);return e}ce.fn.extend({has:function(e){var t=ce(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(ce.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&ce(e);if(!b.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&ce.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?ce.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?se.call(ce(e),this[0]):se.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(ce.uniqueSort(ce.merge(this.get(),ce(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),ce.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return d(e,"parentNode")},parentsUntil:function(e,t,n){return d(e,"parentNode",n)},next:function(e){return A(e,"nextSibling")},prev:function(e){return A(e,"previousSibling")},nextAll:function(e){return d(e,"nextSibling")},prevAll:function(e){return d(e,"previousSibling")},nextUntil:function(e,t,n){return d(e,"nextSibling",n)},prevUntil:function(e,t,n){return d(e,"previousSibling",n)},siblings:function(e){return h((e.parentNode||{}).firstChild,e)},children:function(e){return h(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(fe(e,"template")&&(e=e.content||e),ce.merge([],e.childNodes))}},function(r,i){ce.fn[r]=function(e,t){var n=ce.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=ce.filter(t,n)),1<this.length&&(j[r]||ce.uniqueSort(n),E.test(r)&&n.reverse()),this.pushStack(n)}});var D=/[^\x20\t\r\n\f]+/g;function N(e){return e}function q(e){throw e}function L(e,t,n,r){var i;try{e&&v(i=e.promise)?i.call(e).done(t).fail(n):e&&v(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}ce.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},ce.each(e.match(D)||[],function(e,t){n[t]=!0}),n):ce.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){ce.each(e,function(e,t){v(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==x(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return ce.each(arguments,function(e,t){var n;while(-1<(n=ce.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<ce.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},ce.extend({Deferred:function(e){var o=[["notify","progress",ce.Callbacks("memory"),ce.Callbacks("memory"),2],["resolve","done",ce.Callbacks("once memory"),ce.Callbacks("once memory"),0,"resolved"],["reject","fail",ce.Callbacks("once memory"),ce.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return ce.Deferred(function(r){ce.each(o,function(e,t){var n=v(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&v(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,v(t)?s?t.call(e,l(u,o,N,s),l(u,o,q,s)):(u++,t.call(e,l(u,o,N,s),l(u,o,q,s),l(u,o,N,o.notifyWith))):(a!==N&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){ce.Deferred.exceptionHook&&ce.Deferred.exceptionHook(e,t.error),u<=i+1&&(a!==q&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(ce.Deferred.getErrorHook?t.error=ce.Deferred.getErrorHook():ce.Deferred.getStackHook&&(t.error=ce.Deferred.getStackHook()),ie.setTimeout(t))}}return ce.Deferred(function(e){o[0][3].add(l(0,e,v(r)?r:N,e.notifyWith)),o[1][3].add(l(0,e,v(t)?t:N)),o[2][3].add(l(0,e,v(n)?n:q))}).promise()},promise:function(e){return null!=e?ce.extend(e,a):a}},s={};return ce.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=ae.call(arguments),o=ce.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?ae.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(L(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||v(i[t]&&i[t].then)))return o.then();while(t--)L(i[t],a(t),o.reject);return o.promise()}});var H=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;ce.Deferred.exceptionHook=function(e,t){ie.console&&ie.console.warn&&e&&H.test(e.name)&&ie.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},ce.readyException=function(e){ie.setTimeout(function(){throw e})};var O=ce.Deferred();function P(){C.removeEventListener("DOMContentLoaded",P),ie.removeEventListener("load",P),ce.ready()}ce.fn.ready=function(e){return O.then(e)["catch"](function(e){ce.readyException(e)}),this},ce.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--ce.readyWait:ce.isReady)||(ce.isReady=!0)!==e&&0<--ce.readyWait||O.resolveWith(C,[ce])}}),ce.ready.then=O.then,"complete"===C.readyState||"loading"!==C.readyState&&!C.documentElement.doScroll?ie.setTimeout(ce.ready):(C.addEventListener("DOMContentLoaded",P),ie.addEventListener("load",P));var M=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===x(n))for(s in i=!0,n)M(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,v(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(ce(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},R=/^-ms-/,I=/-([a-z])/g;function W(e,t){return t.toUpperCase()}function F(e){return e.replace(R,"ms-").replace(I,W)}var $=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function B(){this.expando=ce.expando+B.uid++}B.uid=1,B.prototype={cache:function(e){var t=e[this.expando];return t||(t={},$(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[F(t)]=n;else for(r in t)i[F(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][F(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(F):(t=F(t))in r?[t]:t.match(D)||[]).length;while(n--)delete r[t[n]]}(void 0===t||ce.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!ce.isEmptyObject(t)}};var _=new B,z=new B,X=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,U=/[A-Z]/g;function V(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(U,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:X.test(i)?JSON.parse(i):i)}catch(e){}z.set(e,t,n)}else n=void 0;return n}ce.extend({hasData:function(e){return z.hasData(e)||_.hasData(e)},data:function(e,t,n){return z.access(e,t,n)},removeData:function(e,t){z.remove(e,t)},_data:function(e,t,n){return _.access(e,t,n)},_removeData:function(e,t){_.remove(e,t)}}),ce.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=z.get(o),1===o.nodeType&&!_.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=F(r.slice(5)),V(o,r,i[r]));_.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){z.set(this,n)}):M(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=z.get(o,n))?t:void 0!==(t=V(o,n))?t:void 0;this.each(function(){z.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){z.remove(this,e)})}}),ce.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=_.get(e,t),n&&(!r||Array.isArray(n)?r=_.access(e,t,ce.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=ce.queue(e,t),r=n.length,i=n.shift(),o=ce._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){ce.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return _.get(e,n)||_.access(e,n,{empty:ce.Callbacks("once memory").add(function(){_.remove(e,[t+"queue",n])})})}}),ce.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?ce.queue(this[0],t):void 0===n?this:this.each(function(){var e=ce.queue(this,t,n);ce._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&ce.dequeue(this,t)})},dequeue:function(e){return this.each(function(){ce.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=ce.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=_.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var G=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,Y=new RegExp("^(?:([+-])=|)("+G+")([a-z%]*)$","i"),Q=["Top","Right","Bottom","Left"],J=C.documentElement,K=function(e){return ce.contains(e.ownerDocument,e)},Z={composed:!0};J.getRootNode&&(K=function(e){return ce.contains(e.ownerDocument,e)||e.getRootNode(Z)===e.ownerDocument});var ee=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&K(e)&&"none"===ce.css(e,"display")};function te(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return ce.css(e,t,"")},u=s(),l=n&&n[3]||(ce.cssNumber[t]?"":"px"),c=e.nodeType&&(ce.cssNumber[t]||"px"!==l&&+u)&&Y.exec(ce.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)ce.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,ce.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ne={};function re(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=_.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ee(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ne[s])||(o=a.body.appendChild(a.createElement(s)),u=ce.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ne[s]=u)))):"none"!==n&&(l[c]="none",_.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}ce.fn.extend({show:function(){return re(this,!0)},hide:function(){return re(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ee(this)?ce(this).show():ce(this).hide()})}});var xe,be,we=/^(?:checkbox|radio)$/i,Te=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,Ce=/^$|^module$|\/(?:java|ecma)script/i;xe=C.createDocumentFragment().appendChild(C.createElement("div")),(be=C.createElement("input")).setAttribute("type","radio"),be.setAttribute("checked","checked"),be.setAttribute("name","t"),xe.appendChild(be),le.checkClone=xe.cloneNode(!0).cloneNode(!0).lastChild.checked,xe.innerHTML="<textarea>x</textarea>",le.noCloneChecked=!!xe.cloneNode(!0).lastChild.defaultValue,xe.innerHTML="<option></option>",le.option=!!xe.lastChild;var ke={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function Se(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&fe(e,t)?ce.merge([e],n):n}function Ee(e,t){for(var n=0,r=e.length;n<r;n++)_.set(e[n],"globalEval",!t||_.get(t[n],"globalEval"))}ke.tbody=ke.tfoot=ke.colgroup=ke.caption=ke.thead,ke.th=ke.td,le.option||(ke.optgroup=ke.option=[1,"<select multiple='multiple'>","</select>"]);var je=/<|&#?\w+;/;function Ae(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===x(o))ce.merge(p,o.nodeType?[o]:o);else if(je.test(o)){a=a||f.appendChild(t.createElement("div")),s=(Te.exec(o)||["",""])[1].toLowerCase(),u=ke[s]||ke._default,a.innerHTML=u[1]+ce.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;ce.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<ce.inArray(o,r))i&&i.push(o);else if(l=K(o),a=Se(f.appendChild(o),"script"),l&&Ee(a),n){c=0;while(o=a[c++])Ce.test(o.type||"")&&n.push(o)}return f}var De=/^([^.]*)(?:\.(.+)|)/;function Ne(){return!0}function qe(){return!1}function Le(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Le(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=qe;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return ce().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=ce.guid++)),e.each(function(){ce.event.add(this,t,i,r,n)})}function He(e,r,t){t?(_.set(e,r,!1),ce.event.add(e,r,{namespace:!1,handler:function(e){var t,n=_.get(this,r);if(1&e.isTrigger&&this[r]){if(n)(ce.event.special[r]||{}).delegateType&&e.stopPropagation();else if(n=ae.call(arguments),_.set(this,r,n),this[r](),t=_.get(this,r),_.set(this,r,!1),n!==t)return e.stopImmediatePropagation(),e.preventDefault(),t}else n&&(_.set(this,r,ce.event.trigger(n[0],n.slice(1),this)),e.stopPropagation(),e.isImmediatePropagationStopped=Ne)}})):void 0===_.get(e,r)&&ce.event.add(e,r,Ne)}ce.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=_.get(t);if($(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&ce.find.matchesSelector(J,i),n.guid||(n.guid=ce.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof ce&&ce.event.triggered!==e.type?ce.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(D)||[""]).length;while(l--)d=g=(s=De.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=ce.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=ce.event.special[d]||{},c=ce.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&ce.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),ce.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=_.hasData(e)&&_.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(D)||[""]).length;while(l--)if(d=g=(s=De.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=ce.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||ce.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)ce.event.remove(e,d+t[l],n,r,!0);ce.isEmptyObject(u)&&_.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=ce.event.fix(e),l=(_.get(this,"events")||Object.create(null))[u.type]||[],c=ce.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=ce.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((ce.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<ce(i,this).index(l):ce.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(ce.Event.prototype,t,{enumerable:!0,configurable:!0,get:v(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[ce.expando]?e:new ce.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return we.test(t.type)&&t.click&&fe(t,"input")&&He(t,"click",!0),!1},trigger:function(e){var t=this||e;return we.test(t.type)&&t.click&&fe(t,"input")&&He(t,"click"),!0},_default:function(e){var t=e.target;return we.test(t.type)&&t.click&&fe(t,"input")&&_.get(t,"click")||fe(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},ce.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},ce.Event=function(e,t){if(!(this instanceof ce.Event))return new ce.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?Ne:qe,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&ce.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[ce.expando]=!0},ce.Event.prototype={constructor:ce.Event,isDefaultPrevented:qe,isPropagationStopped:qe,isImmediatePropagationStopped:qe,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=Ne,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=Ne,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=Ne,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},ce.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},ce.event.addProp),ce.each({focus:"focusin",blur:"focusout"},function(r,i){function o(e){if(C.documentMode){var t=_.get(this,"handle"),n=ce.event.fix(e);n.type="focusin"===e.type?"focus":"blur",n.isSimulated=!0,t(e),n.target===n.currentTarget&&t(n)}else ce.event.simulate(i,e.target,ce.event.fix(e))}ce.event.special[r]={setup:function(){var e;if(He(this,r,!0),!C.documentMode)return!1;(e=_.get(this,i))||this.addEventListener(i,o),_.set(this,i,(e||0)+1)},trigger:function(){return He(this,r),!0},teardown:function(){var e;if(!C.documentMode)return!1;(e=_.get(this,i)-1)?_.set(this,i,e):(this.removeEventListener(i,o),_.remove(this,i))},_default:function(e){return _.get(e.target,r)},delegateType:i},ce.event.special[i]={setup:function(){var e=this.ownerDocument||this.document||this,t=C.documentMode?this:e,n=_.get(t,i);n||(C.documentMode?this.addEventListener(i,o):e.addEventListener(r,o,!0)),_.set(t,i,(n||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=C.documentMode?this:e,n=_.get(t,i)-1;n?_.set(t,i,n):(C.documentMode?this.removeEventListener(i,o):e.removeEventListener(r,o,!0),_.remove(t,i))}}}),ce.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){ce.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||ce.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),ce.fn.extend({on:function(e,t,n,r){return Le(this,e,t,n,r)},one:function(e,t,n,r){return Le(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,ce(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=qe),this.each(function(){ce.event.remove(this,e,n,t)})}});var Oe=/<script|<style|<link/i,Pe=/checked\s*(?:[^=]|=\s*.checked.)/i,Me=/^\s*<!\[CDATA\[|\]\]>\s*$/g;function Re(e,t){return fe(e,"table")&&fe(11!==t.nodeType?t:t.firstChild,"tr")&&ce(e).children("tbody")[0]||e}function Ie(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function We(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Fe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(_.hasData(e)&&(s=_.get(e).events))for(i in _.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)ce.event.add(t,i,s[i][n]);z.hasData(e)&&(o=z.access(e),a=ce.extend({},o),z.set(t,a))}}function $e(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=v(d);if(h||1<f&&"string"==typeof d&&!le.checkClone&&Pe.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),$e(t,r,i,o)});if(f&&(t=(e=Ae(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=ce.map(Se(e,"script"),Ie)).length;c<f;c++)u=e,c!==p&&(u=ce.clone(u,!0,!0),s&&ce.merge(a,Se(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,ce.map(a,We),c=0;c<s;c++)u=a[c],Ce.test(u.type||"")&&!_.access(u,"globalEval")&&ce.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?ce._evalUrl&&!u.noModule&&ce._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):m(u.textContent.replace(Me,""),u,l))}return n}function Be(e,t,n){for(var r,i=t?ce.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||ce.cleanData(Se(r)),r.parentNode&&(n&&K(r)&&Ee(Se(r,"script")),r.parentNode.removeChild(r));return e}ce.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=K(e);if(!(le.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||ce.isXMLDoc(e)))for(a=Se(c),r=0,i=(o=Se(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&we.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||Se(e),a=a||Se(c),r=0,i=o.length;r<i;r++)Fe(o[r],a[r]);else Fe(e,c);return 0<(a=Se(c,"script")).length&&Ee(a,!f&&Se(e,"script")),c},cleanData:function(e){for(var t,n,r,i=ce.event.special,o=0;void 0!==(n=e[o]);o++)if($(n)){if(t=n[_.expando]){if(t.events)for(r in t.events)i[r]?ce.event.remove(n,r):ce.removeEvent(n,r,t.handle);n[_.expando]=void 0}n[z.expando]&&(n[z.expando]=void 0)}}}),ce.fn.extend({detach:function(e){return Be(this,e,!0)},remove:function(e){return Be(this,e)},text:function(e){return M(this,function(e){return void 0===e?ce.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return $e(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||Re(this,e).appendChild(e)})},prepend:function(){return $e(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=Re(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return $e(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return $e(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(ce.cleanData(Se(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return ce.clone(this,e,t)})},html:function(e){return M(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!Oe.test(e)&&!ke[(Te.exec(e)||["",""])[1].toLowerCase()]){e=ce.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(ce.cleanData(Se(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return $e(this,arguments,function(e){var t=this.parentNode;ce.inArray(this,n)<0&&(ce.cleanData(Se(this)),t&&t.replaceChild(e,this))},n)}}),ce.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){ce.fn[e]=function(e){for(var t,n=[],r=ce(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),ce(r[o])[a](t),s.apply(n,t.get());return this.pushStack(n)}});var _e=new RegExp("^("+G+")(?!px)[a-z%]+$","i"),ze=/^--/,Xe=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=ie),t.getComputedStyle(e)},Ue=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ve=new RegExp(Q.join("|"),"i");function Ge(e,t,n){var r,i,o,a,s=ze.test(t),u=e.style;return(n=n||Xe(e))&&(a=n.getPropertyValue(t)||n[t],s&&a&&(a=a.replace(ve,"$1")||void 0),""!==a||K(e)||(a=ce.style(e,t)),!le.pixelBoxStyles()&&_e.test(a)&&Ve.test(t)&&(r=u.width,i=u.minWidth,o=u.maxWidth,u.minWidth=u.maxWidth=u.width=a,a=n.width,u.width=r,u.minWidth=i,u.maxWidth=o)),void 0!==a?a+"":a}function Ye(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",J.appendChild(u).appendChild(l);var e=ie.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),J.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=C.createElement("div"),l=C.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",le.clearCloneStyle="content-box"===l.style.backgroundClip,ce.extend(le,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=C.createElement("table"),t=C.createElement("tr"),n=C.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="box-sizing:content-box;border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",J.appendChild(e).appendChild(t).appendChild(n),r=ie.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,J.removeChild(e)),a}}))}();var Qe=["Webkit","Moz","ms"],Je=C.createElement("div").style,Ke={};function Ze(e){var t=ce.cssProps[e]||Ke[e];return t||(e in Je?e:Ke[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Qe.length;while(n--)if((e=Qe[n]+t)in Je)return e}(e)||e)}var et=/^(none|table(?!-c[ea]).+)/,tt={position:"absolute",visibility:"hidden",display:"block"},nt={letterSpacing:"0",fontWeight:"400"};function rt(e,t,n){var r=Y.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function it(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0,l=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(l+=ce.css(e,n+Q[a],!0,i)),r?("content"===n&&(u-=ce.css(e,"padding"+Q[a],!0,i)),"margin"!==n&&(u-=ce.css(e,"border"+Q[a]+"Width",!0,i))):(u+=ce.css(e,"padding"+Q[a],!0,i),"padding"!==n?u+=ce.css(e,"border"+Q[a]+"Width",!0,i):s+=ce.css(e,"border"+Q[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u+l}function ot(e,t,n){var r=Xe(e),i=(!le.boxSizingReliable()||n)&&"border-box"===ce.css(e,"boxSizing",!1,r),o=i,a=Ge(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(_e.test(a)){if(!n)return a;a="auto"}return(!le.boxSizingReliable()&&i||!le.reliableTrDimensions()&&fe(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===ce.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===ce.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+it(e,t,n||(i?"border":"content"),o,r,a)+"px"}function at(e,t,n,r,i){return new at.prototype.init(e,t,n,r,i)}ce.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=Ge(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,aspectRatio:!0,borderImageSlice:!0,columnCount:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,scale:!0,widows:!0,zIndex:!0,zoom:!0,fillOpacity:!0,floodOpacity:!0,stopOpacity:!0,strokeMiterlimit:!0,strokeOpacity:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=F(t),u=ze.test(t),l=e.style;if(u||(t=Ze(s)),a=ce.cssHooks[t]||ce.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=Y.exec(n))&&i[1]&&(n=te(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(ce.cssNumber[s]?"":"px")),le.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=F(t);return ze.test(t)||(t=Ze(s)),(a=ce.cssHooks[t]||ce.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Ge(e,t,r)),"normal"===i&&t in nt&&(i=nt[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),ce.each(["height","width"],function(e,u){ce.cssHooks[u]={get:function(e,t,n){if(t)return!et.test(ce.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?ot(e,u,n):Ue(e,tt,function(){return ot(e,u,n)})},set:function(e,t,n){var r,i=Xe(e),o=!le.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===ce.css(e,"boxSizing",!1,i),s=n?it(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-it(e,u,"border",!1,i)-.5)),s&&(r=Y.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=ce.css(e,u)),rt(0,t,s)}}}),ce.cssHooks.marginLeft=Ye(le.reliableMarginLeft,function(e,t){if(t)return(parseFloat(Ge(e,"marginLeft"))||e.getBoundingClientRect().left-Ue(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),ce.each({margin:"",padding:"",border:"Width"},function(i,o){ce.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+Q[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(ce.cssHooks[i+o].set=rt)}),ce.fn.extend({css:function(e,t){return M(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Xe(e),i=t.length;a<i;a++)o[t[a]]=ce.css(e,t[a],!1,r);return o}return void 0!==n?ce.style(e,t,n):ce.css(e,t)},e,t,1<arguments.length)}}),((ce.Tween=at).prototype={constructor:at,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||ce.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(ce.cssNumber[n]?"":"px")},cur:function(){var e=at.propHooks[this.prop];return e&&e.get?e.get(this):at.propHooks._default.get(this)},run:function(e){var t,n=at.propHooks[this.prop];return this.options.duration?this.pos=t=ce.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):at.propHooks._default.set(this),this}}).init.prototype=at.prototype,(at.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=ce.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){ce.fx.step[e.prop]?ce.fx.step[e.prop](e):1!==e.elem.nodeType||!ce.cssHooks[e.prop]&&null==e.elem.style[Ze(e.prop)]?e.elem[e.prop]=e.now:ce.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=at.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},ce.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},ce.fx=at.prototype.init,ce.fx.step={};var st,ut,lt,ct,ft=/^(?:toggle|show|hide)$/,pt=/queueHooks$/;function dt(){ut&&(!1===C.hidden&&ie.requestAnimationFrame?ie.requestAnimationFrame(dt):ie.setTimeout(dt,ce.fx.interval),ce.fx.tick())}function ht(){return ie.setTimeout(function(){st=void 0}),st=Date.now()}function gt(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=Q[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function vt(e,t,n){for(var r,i=(yt.tweeners[t]||[]).concat(yt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function yt(o,e,t){var n,a,r=0,i=yt.prefilters.length,s=ce.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=st||ht(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:ce.extend({},e),opts:ce.extend(!0,{specialEasing:{},easing:ce.easing._default},t),originalProperties:e,originalOptions:t,startTime:st||ht(),duration:t.duration,tweens:[],createTween:function(e,t){var n=ce.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=F(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=ce.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=yt.prefilters[r].call(l,o,c,l.opts))return v(n.stop)&&(ce._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return ce.map(c,vt,l),v(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),ce.fx.timer(ce.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}ce.Animation=ce.extend(yt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return te(n.elem,e,Y.exec(t),n),n}]},tweener:function(e,t){v(e)?(t=e,e=["*"]):e=e.match(D);for(var n,r=0,i=e.length;r<i;r++)n=e[r],yt.tweeners[n]=yt.tweeners[n]||[],yt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ee(e),v=_.get(e,"fxshow");for(r in n.queue||(null==(a=ce._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,ce.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],ft.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||ce.style(e,r)}if((u=!ce.isEmptyObject(t))||!ce.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=_.get(e,"display")),"none"===(c=ce.css(e,"display"))&&(l?c=l:(re([e],!0),l=e.style.display||l,c=ce.css(e,"display"),re([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===ce.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=_.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&re([e],!0),p.done(function(){for(r in g||re([e]),_.remove(e,"fxshow"),d)ce.style(e,r,d[r])})),u=vt(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?yt.prefilters.unshift(e):yt.prefilters.push(e)}}),ce.speed=function(e,t,n){var r=e&&"object"==typeof e?ce.extend({},e):{complete:n||!n&&t||v(e)&&e,duration:e,easing:n&&t||t&&!v(t)&&t};return ce.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in ce.fx.speeds?r.duration=ce.fx.speeds[r.duration]:r.duration=ce.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){v(r.old)&&r.old.call(this),r.queue&&ce.dequeue(this,r.queue)},r},ce.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ee).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=ce.isEmptyObject(t),o=ce.speed(e,n,r),a=function(){var e=yt(this,ce.extend({},t),o);(i||_.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=ce.timers,r=_.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&pt.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||ce.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=_.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=ce.timers,o=n?n.length:0;for(t.finish=!0,ce.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),ce.each(["toggle","show","hide"],function(e,r){var i=ce.fn[r];ce.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(gt(r,!0),e,t,n)}}),ce.each({slideDown:gt("show"),slideUp:gt("hide"),slideToggle:gt("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){ce.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),ce.timers=[],ce.fx.tick=function(){var e,t=0,n=ce.timers;for(st=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||ce.fx.stop(),st=void 0},ce.fx.timer=function(e){ce.timers.push(e),ce.fx.start()},ce.fx.interval=13,ce.fx.start=function(){ut||(ut=!0,dt())},ce.fx.stop=function(){ut=null},ce.fx.speeds={slow:600,fast:200,_default:400},ce.fn.delay=function(r,e){return r=ce.fx&&ce.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=ie.setTimeout(e,r);t.stop=function(){ie.clearTimeout(n)}})},lt=C.createElement("input"),ct=C.createElement("select").appendChild(C.createElement("option")),lt.type="checkbox",le.checkOn=""!==lt.value,le.optSelected=ct.selected,(lt=C.createElement("input")).value="t",lt.type="radio",le.radioValue="t"===lt.value;var mt,xt=ce.expr.attrHandle;ce.fn.extend({attr:function(e,t){return M(this,ce.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){ce.removeAttr(this,e)})}}),ce.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?ce.prop(e,t,n):(1===o&&ce.isXMLDoc(e)||(i=ce.attrHooks[t.toLowerCase()]||(ce.expr.match.bool.test(t)?mt:void 0)),void 0!==n?null===n?void ce.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=ce.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!le.radioValue&&"radio"===t&&fe(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(D);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),mt={set:function(e,t,n){return!1===t?ce.removeAttr(e,n):e.setAttribute(n,n),n}},ce.each(ce.expr.match.bool.source.match(/\w+/g),function(e,t){var a=xt[t]||ce.find.attr;xt[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=xt[o],xt[o]=r,r=null!=a(e,t,n)?o:null,xt[o]=i),r}});var bt=/^(?:input|select|textarea|button)$/i,wt=/^(?:a|area)$/i;function Tt(e){return(e.match(D)||[]).join(" ")}function Ct(e){return e.getAttribute&&e.getAttribute("class")||""}function kt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(D)||[]}ce.fn.extend({prop:function(e,t){return M(this,ce.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[ce.propFix[e]||e]})}}),ce.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&ce.isXMLDoc(e)||(t=ce.propFix[t]||t,i=ce.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=ce.find.attr(e,"tabindex");return t?parseInt(t,10):bt.test(e.nodeName)||wt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),le.optSelected||(ce.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),ce.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){ce.propFix[this.toLowerCase()]=this}),ce.fn.extend({addClass:function(t){var e,n,r,i,o,a;return v(t)?this.each(function(e){ce(this).addClass(t.call(this,e,Ct(this)))}):(e=kt(t)).length?this.each(function(){if(r=Ct(this),n=1===this.nodeType&&" "+Tt(r)+" "){for(o=0;o<e.length;o++)i=e[o],n.indexOf(" "+i+" ")<0&&(n+=i+" ");a=Tt(n),r!==a&&this.setAttribute("class",a)}}):this},removeClass:function(t){var e,n,r,i,o,a;return v(t)?this.each(function(e){ce(this).removeClass(t.call(this,e,Ct(this)))}):arguments.length?(e=kt(t)).length?this.each(function(){if(r=Ct(this),n=1===this.nodeType&&" "+Tt(r)+" "){for(o=0;o<e.length;o++){i=e[o];while(-1<n.indexOf(" "+i+" "))n=n.replace(" "+i+" "," ")}a=Tt(n),r!==a&&this.setAttribute("class",a)}}):this:this.attr("class","")},toggleClass:function(t,n){var e,r,i,o,a=typeof t,s="string"===a||Array.isArray(t);return v(t)?this.each(function(e){ce(this).toggleClass(t.call(this,e,Ct(this),n),n)}):"boolean"==typeof n&&s?n?this.addClass(t):this.removeClass(t):(e=kt(t),this.each(function(){if(s)for(o=ce(this),i=0;i<e.length;i++)r=e[i],o.hasClass(r)?o.removeClass(r):o.addClass(r);else void 0!==t&&"boolean"!==a||((r=Ct(this))&&_.set(this,"__className__",r),this.setAttribute&&this.setAttribute("class",r||!1===t?"":_.get(this,"__className__")||""))}))},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+Tt(Ct(n))+" ").indexOf(t))return!0;return!1}});var St=/\r/g;ce.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=v(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,ce(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=ce.map(t,function(e){return null==e?"":e+""})),(r=ce.valHooks[this.type]||ce.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=ce.valHooks[t.type]||ce.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(St,""):null==e?"":e:void 0}}),ce.extend({valHooks:{option:{get:function(e){var t=ce.find.attr(e,"value");return null!=t?t:Tt(ce.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!fe(n.parentNode,"optgroup"))){if(t=ce(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=ce.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<ce.inArray(ce.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),ce.each(["radio","checkbox"],function(){ce.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<ce.inArray(ce(e).val(),t)}},le.checkOn||(ce.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})});var Et=ie.location,jt={guid:Date.now()},At=/\?/;ce.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new ie.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||ce.error("Invalid XML: "+(n?ce.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Dt=/^(?:focusinfocus|focusoutblur)$/,Nt=function(e){e.stopPropagation()};ce.extend(ce.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||C],d=ue.call(e,"type")?e.type:e,h=ue.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||C,3!==n.nodeType&&8!==n.nodeType&&!Dt.test(d+ce.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[ce.expando]?e:new ce.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:ce.makeArray(t,[e]),c=ce.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!y(n)){for(s=c.delegateType||d,Dt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||C)&&p.push(a.defaultView||a.parentWindow||ie)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(_.get(o,"events")||Object.create(null))[e.type]&&_.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&$(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!$(n)||u&&v(n[d])&&!y(n)&&((a=n[u])&&(n[u]=null),ce.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,Nt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,Nt),ce.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=ce.extend(new ce.Event,n,{type:e,isSimulated:!0});ce.event.trigger(r,null,t)}}),ce.fn.extend({trigger:function(e,t){return this.each(function(){ce.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return ce.event.trigger(e,t,n,!0)}});var qt=/\[\]$/,Lt=/\r?\n/g,Ht=/^(?:submit|button|image|reset|file)$/i,Ot=/^(?:input|select|textarea|keygen)/i;function Pt(n,e,r,i){var t;if(Array.isArray(e))ce.each(e,function(e,t){r||qt.test(n)?i(n,t):Pt(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==x(e))i(n,e);else for(t in e)Pt(n+"["+t+"]",e[t],r,i)}ce.param=function(e,t){var n,r=[],i=function(e,t){var n=v(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!ce.isPlainObject(e))ce.each(e,function(){i(this.name,this.value)});else for(n in e)Pt(n,e[n],t,i);return r.join("&")},ce.fn.extend({serialize:function(){return ce.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=ce.prop(this,"elements");return e?ce.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!ce(this).is(":disabled")&&Ot.test(this.nodeName)&&!Ht.test(e)&&(this.checked||!we.test(e))}).map(function(e,t){var n=ce(this).val();return null==n?null:Array.isArray(n)?ce.map(n,function(e){return{name:t.name,value:e.replace(Lt,"\r\n")}}):{name:t.name,value:n.replace(Lt,"\r\n")}}).get()}});var Mt=/%20/g,Rt=/#.*$/,It=/([?&])_=[^&]*/,Wt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Ft=/^(?:GET|HEAD)$/,$t=/^\/\//,Bt={},_t={},zt="*/".concat("*"),Xt=C.createElement("a");function Ut(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(D)||[];if(v(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Vt(t,i,o,a){var s={},u=t===_t;function l(e){var r;return s[e]=!0,ce.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Gt(e,t){var n,r,i=ce.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&ce.extend(!0,e,r),e}Xt.href=Et.href,ce.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:Et.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(Et.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":zt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":ce.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Gt(Gt(e,ce.ajaxSettings),t):Gt(ce.ajaxSettings,e)},ajaxPrefilter:Ut(Bt),ajaxTransport:Ut(_t),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=ce.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?ce(y):ce.event,x=ce.Deferred(),b=ce.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=Wt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||Et.href)+"").replace($t,Et.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(D)||[""],null==v.crossDomain){r=C.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Xt.protocol+"//"+Xt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=ce.param(v.data,v.traditional)),Vt(Bt,v,t,T),h)return T;for(i in(g=ce.event&&v.global)&&0==ce.active++&&ce.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Ft.test(v.type),f=v.url.replace(Rt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Mt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(At.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(It,"$1"),o=(At.test(f)?"&":"?")+"_="+jt.guid+++o),v.url=f+o),v.ifModified&&(ce.lastModified[f]&&T.setRequestHeader("If-Modified-Since",ce.lastModified[f]),ce.etag[f]&&T.setRequestHeader("If-None-Match",ce.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+zt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Vt(_t,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=ie.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&ie.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<ce.inArray("script",v.dataTypes)&&ce.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(ce.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(ce.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--ce.active||ce.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return ce.get(e,t,n,"json")},getScript:function(e,t){return ce.get(e,void 0,t,"script")}}),ce.each(["get","post"],function(e,i){ce[i]=function(e,t,n,r){return v(t)&&(r=r||n,n=t,t=void 0),ce.ajax(ce.extend({url:e,type:i,dataType:r,data:t,success:n},ce.isPlainObject(e)&&e))}}),ce.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),ce._evalUrl=function(e,t,n){return ce.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){ce.globalEval(e,t,n)}})},ce.fn.extend({wrapAll:function(e){var t;return this[0]&&(v(e)&&(e=e.call(this[0])),t=ce(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return v(n)?this.each(function(e){ce(this).wrapInner(n.call(this,e))}):this.each(function(){var e=ce(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=v(t);return this.each(function(e){ce(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){ce(this).replaceWith(this.childNodes)}),this}}),ce.expr.pseudos.hidden=function(e){return!ce.expr.pseudos.visible(e)},ce.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},ce.ajaxSettings.xhr=function(){try{return new ie.XMLHttpRequest}catch(e){}};var Yt={0:200,1223:204},Qt=ce.ajaxSettings.xhr();le.cors=!!Qt&&"withCredentials"in Qt,le.ajax=Qt=!!Qt,ce.ajaxTransport(function(i){var o,a;if(le.cors||Qt&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Yt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&ie.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),ce.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),ce.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return ce.globalEval(e),e}}}),ce.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),ce.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=ce("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),C.head.appendChild(r[0])},abort:function(){i&&i()}}});var Jt,Kt=[],Zt=/(=)\?(?=&|$)|\?\?/;ce.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=Kt.pop()||ce.expando+"_"+jt.guid++;return this[e]=!0,e}}),ce.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Zt.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Zt.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=v(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Zt,"$1"+r):!1!==e.jsonp&&(e.url+=(At.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||ce.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=ie[r],ie[r]=function(){o=arguments},n.always(function(){void 0===i?ce(ie).removeProp(r):ie[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,Kt.push(r)),o&&v(i)&&i(o[0]),o=i=void 0}),"script"}),le.createHTMLDocument=((Jt=C.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===Jt.childNodes.length),ce.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(le.createHTMLDocument?((r=(t=C.implementation.createHTMLDocument("")).createElement("base")).href=C.location.href,t.head.appendChild(r)):t=C),o=!n&&[],(i=w.exec(e))?[t.createElement(i[1])]:(i=Ae([e],t,o),o&&o.length&&ce(o).remove(),ce.merge([],i.childNodes)));var r,i,o},ce.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=Tt(e.slice(s)),e=e.slice(0,s)),v(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&ce.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?ce("<div>").append(ce.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},ce.expr.pseudos.animated=function(t){return ce.grep(ce.timers,function(e){return t===e.elem}).length},ce.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=ce.css(e,"position"),c=ce(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=ce.css(e,"top"),u=ce.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),v(t)&&(t=t.call(e,n,ce.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},ce.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){ce.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===ce.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===ce.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=ce(e).offset()).top+=ce.css(e,"borderTopWidth",!0),i.left+=ce.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-ce.css(r,"marginTop",!0),left:t.left-i.left-ce.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===ce.css(e,"position"))e=e.offsetParent;return e||J})}}),ce.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;ce.fn[t]=function(e){return M(this,function(e,t,n){var r;if(y(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),ce.each(["top","left"],function(e,n){ce.cssHooks[n]=Ye(le.pixelPosition,function(e,t){if(t)return t=Ge(e,n),_e.test(t)?ce(e).position()[n]+"px":t})}),ce.each({Height:"height",Width:"width"},function(a,s){ce.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){ce.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return M(this,function(e,t,n){var r;return y(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?ce.css(e,t,i):ce.style(e,t,n,i)},s,n?e:void 0,n)}})}),ce.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){ce.fn[t]=function(e){return this.on(t,e)}}),ce.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.on("mouseenter",e).on("mouseleave",t||e)}}),ce.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){ce.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var en=/^[\s\uFEFF\xA0]+|([^\s\uFEFF\xA0])[\s\uFEFF\xA0]+$/g;ce.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),v(e))return r=ae.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(ae.call(arguments)))}).guid=e.guid=e.guid||ce.guid++,i},ce.holdReady=function(e){e?ce.readyWait++:ce.ready(!0)},ce.isArray=Array.isArray,ce.parseJSON=JSON.parse,ce.nodeName=fe,ce.isFunction=v,ce.isWindow=y,ce.camelCase=F,ce.type=x,ce.now=Date.now,ce.isNumeric=function(e){var t=ce.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},ce.trim=function(e){return null==e?"":(e+"").replace(en,"$1")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return ce});var tn=ie.jQuery,nn=ie.$;return ce.noConflict=function(e){return ie.$===ce&&(ie.$=nn),e&&ie.jQuery===ce&&(ie.jQuery=tn),ce},"undefined"==typeof e&&(ie.jQuery=ie.$=ce),ce}); </script>
<script> let g_snapped = "";
// let g_lastHovered = "";
function hideAllDetails()
{
$(".container-feature-detail").hide();
$(".container-df-associations").hide();
$("span.bg-tab-summary-rollover").hide();
$("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
$("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
}
// GLOBAL EVENTS
// ---------------------------------------------------------------------------------------------------------------------------
// EVENT: [ANYWHERE] RIGHT-CLICK REMOVES SELECTION
// $(document).contextmenu(function() {
// if (g_snapped != "")
// {
// g_snapped = "";
// hideAllDetails();
// }
// if (g_lastHovered != "")
// {
// $(g_lastHovered).show();
// //alert("#"+g_lastHovered);
// }
// return false;
// });
$("span.bg-tab-summary-rollover").hide();
hideAllDetails();
$(document).ready(function() {
// INITIALIZATION
// --------------------------------------------------------
hideAllDetails();
$("span.bg-tab-summary-rollover").hide();
// Make the detail column the same height, so the floating element has room
//$("#col2").height($("#col1").height());
$("#col1").height(g_height);
$("#col2").height(g_height);
//alert($("#col1").height());
// SUMMARY AREA
// --------------------------------------------------------
// EVENT: SUMMARY ROLLOVER
// $(".selector, .container-feature-summary-target").hover(
$(".selector").hover(
// ENTER function
function(event) {
if(g_snapped=="")
{
// Rollover start!
$(".container-feature-detail").hide();
$("span.bg-tab-summary-rollover").hide();
$("#" + $(this).data("detail-div")).show();
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
$("#" + $(this).data("rollover-span")).show();
}
// g_lastHovered = "#" + $(this).data("detail-div");
},
// EXIT function
function(event) {
if(g_snapped=="")
{
// Rollover end!
hideAllDetails();
//FBFB $("#" + $(this).data("detail-div")).hide();
}
}
);
// EVENT: SUMMARY CLICK
// $(".container-feature-summary, .container-feature-summary-target").click(function(event) {
$(".selector").click(function(event) {
// No matter what, we should deselect the associations buttons
$("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
$("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
// alert($(this).parent().attr('id'));
let this_to_snap=$(this).parent().attr('id');
if(g_snapped == this_to_snap)
{
// "Unselect"
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
g_snapped = "";
}
else if (g_snapped == "")
{
// "Select"
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
g_snapped = $(this).parent().attr('id');
//$("#" + $(this).data("detail-div")).show();
//$(g_lastHovered).show();
// alert(this.parent().id);
}
else if (g_snapped !== this_to_snap) // implied
{
// "Select" while another was previously selected
$("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
$("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
$(".container-feature-detail").hide();
$("span.bg-tab-summary-rollover").hide();
$("#" + $(this).data("detail-div")).show();
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
$("#" + $(this).data("rollover-span")).css("display","inline");
g_snapped = $(this).parent().attr('id');
}
/*
if (g_snapped != "")
{
$('html,body').animate(
{scrollTop: $("#" + g_snapped).offset().top},
'fast');
}
*/
}
);
/*
$(window).scroll(function(e){
var $el = $('.container-feature-detail');
$el.css({'position': 'fixed', 'top': '0px'});
});
function fix_scroll() {
var s = parseFloat($(window).scrollTop()) / 0.6;
var fixedTitle = $('.container-feature-detail');
fixedTitle.css('position','absolute');
fixedTitle.css('top',s + 'px');
}fix_scroll();
$(window).on('scroll',fix_scroll);
*/
// ---------------------------------------------------------------------------------------------------------------------------
// SPECIFIC BUTTONS
// ---------------------------------------------------------------------------------------------------------------------------
// SUMMARY: ASSOCIATIONS -> HOVER
// --------------------------------------------------------
$("#button-summary-associations-source, #button-summary-associations-compare").hover(
// ENTER function
function()
{
if(g_snapped=="")
{
hideAllDetails();
$("#" + $(this).data("detail-div")).show();
// $("#df-assoc").show();
//$("#df-assoc").show();
}
// g_lastHovered = "#df-assoc";
},
// EXIT function
function()
{
if(g_snapped=="")
{
hideAllDetails();
}
});
// SUMMARY: ASSOCIATIONS -> CLICK
// --------------------------------------------------------
$("#button-summary-associations-source, #button-summary-associations-compare").click(function(event) {
// Quick hack: just remove the selected state to both buttons and restore if needed
$("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
$("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
let this_to_snap=this.id;
if(g_snapped == this_to_snap)
{
// DESELECT/HIDE ASSOC
// --------------------------------------------------------
g_snapped = "";
}
else if(g_snapped=="")
{
// SELECT/SHOW ASSOC (Hide other one if already shown)
// --------------------------------------------------------
//$(".container-feature-detail").hide();
//alert("#" + this.id+" GS:"+g_snapped);
//$("#df-assoc").show();
g_snapped = this.id;
$(this).addClass("button-assoc-selected");
}
else
{
// SWAP to OTHER ASSOC: DESELECT old, select new
// --------------------------------------------------------
$("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
$("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
hideAllDetails();
$(this).addClass("button-assoc-selected");
g_snapped = this.id;
$("#" + $(this).data("detail-div")).show();
}
// $(this).addClass("assoc_active");
});
// DETAIL GRAPH BUTTONS
$(".button-bin").click(function() {
which_id = $(this).attr('data-target');
$("#"+which_id).attr('class', $(this).attr('data-new_class') + " pos-detail-num-graph");
});
}); // $(document).ready(... </script>
<style> span.icon-expand { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAALRJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DNRAMqLfbjkRcYzYeDJh8ixxk6cMAizkgtCw9gsYwBbwan0EJHLD4+gEV8NNEMrlSKr0hjpLYPH0CLp/n4iikcRdp8JDMGvnpiJNBqc0DKc8SCDUB8AWdcjDYTRy0kFQAEGAAqdjq/C2RykQAAAABJRU5ErkJggg==);}
span.icon-categorical { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAOFJREFUeNpi/P//PwM9ARMDncGohVQHLHjkHKAYHTwA4gVQdgIQK2BRcwCKMQEolWLBCf/xgwYoxgcSsJmNy4cwVxcC8QUkcQMg7gdieyQxXGoUSA1SBqhBB6igZjSVwkE8WkqVJ1MNwVTqAMTv8aTA/VCMC7yHmoFhNiOewlsBms8YcORFBlwpEZpPHwwKH7LgKWUEoC59iBY/CVh8g02NA7bsQijRLETT5IDFQmLUjOZDlHIRH59YNQQthCXpfhzyB5Hiq5+AGURZCMtHhOrDB6TWh4yjrbZRCwe9hQABBgAyc1dqBJEdOQAAAABJRU5ErkJggg==);}
span.icon-collapse { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAJxJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DPRCMwmg8HTT6E5x4i1TFSy8ID9Pah42iiGZIWfqCnhQ+gxdN8fMUUjiJtPpIZA189MRJotTlAMSlgAxBfwFkyjDYTRy0kFQAEGAD+JDS/pyABgwAAAABJRU5ErkJggg==);}
span.bg-tab-summary { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
span.bg-tab-summary-target { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
span.bg-tab-summary-target-full { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
span.bg-tab-summary-rollover { display: none; position: absolute; z-index:-9; content: url(data:image/png;base64,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);}
span.bg-tab-summary-rollover-vertical { display: none; position: absolute; z-index:-9; content: url(data:image/png;base64,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);}
span.bg-tab-summary-rollover-locked { display: inline !important; position: absolute; z-index:-9; content: url(data:image/png;base64,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);}
span.bg-tab-detail-med { position: absolute; z-index:-10; width: 655px; content: url(data:image/png;base64,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);}
/* used in assoc */
span.bg-tab-detail-wide { position: absolute; z-index:-10; width: 879px; content: url(data:image/png;base64,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);}
span.bg-detail-column { position: relative; z-index:-10; content: url(data:image/png;base64,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);}
span.bg-extra-column { position: absolute; z-index:-10; width: 295px; height: 275px; content: url(data:image/png;base64,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);}
div.ic-cat { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
div.ic-cat-light { z-index: 1; position: absolute; content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAP1JREFUeNpi/P//PwM9ARMDncGohVQHLLgkNqyc6wCkHLBIPQgIT14AVZMApBSwqDkAVHMAm7mM2FIp1KD5eBzaCKXr8ahJhDmMGB/CXF0IxBeQxA2AuB+I7ZHEcKlRIClIoeACctAAfU6umtFUCgfx0NQKA/JkqiFoIShO8oE4gQhHY1PzAWoGcdkCGvkKeCx8gJaa0cECYEJ6QEo+BAXReiAWwBMCDDgKBpgPA7FlflxB6gC1DJRxH6LFD7qvcalxwBashBLNQrQ85oDFQmLUjOZDRLmIVlQZkKmGoIWwJN2PQ/4gUuLqJ2AG0fmQfvXhaJtm1MJBZSFAgAEArrBnthzR+WkAAAAASUVORK5CYII=);}
div.ic-numeric { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
div.ic-numeric-light { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
div.ic-text { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
span.top-header { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
div.tab-summary-rollover { content: url(data:image/png;base64,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);}
div.tab-summary-target { content: url(data:image/png;base64,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);}
div.im-logo { content: url(data:image/png;base64,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);}
div.ic-missing-green { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);}
div.ic-missing-yellow { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);}
div.ic-missing-orange { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);}
div.ic-missing-red { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);} </style>
<style> @font-face
{
font-family: RobotoBoldCond; font-style: normal; font-weight: normal;
src: url(data:font/truetype;charset=utf-8;base64,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) format('truetype');
}
@font-face
{
font-family: RobotoMed; font-style: normal; font-weight: normal;
src: url(data:font/truetype;charset=utf-8;base64,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) format('truetype');
}
@font-face
{
font-family: RobotoReg; font-style: normal; font-weight: normal;
src: url(data:font/truetype;charset=utf-8;base64,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) format('truetype');
}
body
{
/* Re-adding horizontal scrollbar
overflow-x: hidden;
background-color: #f7f7f7;
*/
background-color: #f3f3f0;
color: #58544f;
margin-top: 0px;
}
.isHidden { display: none; }
.page-root
{
/*width: 1880px;*/
/* Made this bigger to better match actual width and avoid flickering due to the horizontal Scrollbar showing up */
width: 1903px;
overflow: visible;
margin: 0 auto;
position: relative;
}
.page-root-vertical
{
width: 1056px;
overflow: visible;
margin: 0 auto;
position: relative;
}
.page-column-main { width: 930px; position: absolute;}
.page-column-detail { position: absolute; left: 1005.0px; }
.page-all-summaries { position: absolute; top:160px; left: -12px; width: 960px; }
.pos-feature-summary
{
width: 1056px;
height:162px;
position: relative;
}
.container-feature-summary
{
width: 1056px;
height:175px;
position: absolute;
}
.container-feature-summary-target
{
width: 1056px;
height:175px;
position: relative;
}
.container-feature-detail
{
height:900px;position:sticky;top:0;
transform: scale(1.0);transform-origin: 0 0;
}
.container-feature-detail-vertical
{
width: 900px;height:900px;position:absolute; top: 151px; left:93px
}
.container-feature-detail__offset
{
height:900px;position:absolute;top:0px;left:-17px
}
.color-source { color: #0088ed; }
.button-border-source { border:1px solid #0088ed; }
.color-source-target { color: #004bd1; }
.color-compare { color: #f77721; }
.button-border-compare { border:1px solid #f77721; }
.color-compare-target { color: #e54600; }
.color-normal { color: #58544f; }
.color-target-summary { color: #CFC8BC; }
.color-light { color: #837d76; }
.color-red { color: #ff0000; }
.dim { opacity: 0.5; }
.color-title-disabled { color: #e2e2e2; }
a { color: #58544f; }
.text-dataframe-title { font-family: RobotoBoldCond; font-size: 24px; }
.text-dataframe-title-small { font-family: RobotoBoldCond; font-size: 20px; }
.text-large-bold { font-family: RobotoBoldCond; font-size: 15.4px; }
.text-med-bold { font-family: RobotoBoldCond; font-size: 12px; }
.text-med { font-family: RobotoMed; font-size: 12px; }
.text-small-med { font-family: RobotoMed; font-size: 10px; }
.text-small-bold { font-family: RobotoBoldCond; font-size: 10px; }
.text-label { font-family: RobotoReg; font-size: 11px;}
.text-value { font-family: RobotoMed; font-size: 11px; }
.text-distinct { font-family: RobotoMed; font-size: 12px; font-weight: bold;}
.text-version { font-family: RobotoReg; font-size: 14px; font-weight: bold; }
.text-credits { font-family: RobotoReg; font-size: 9px;}
.pos-logo-group { position: absolute; top:0px; left:0px; width: 380px; height: 200px; text-align: center;}
.pos-logo { position: relative;
margin-left: auto;
margin-right: auto;
top: 32px; }
.pos-credits { position: relative; top:26px; text-align: center; }
.row-colored { background-color: #00000008; }
.row-missing { background-color: #00000008; text-indent: 4px; height: 16px; width: 250px; }
.assoc-row { height: 13px; line-height: 11px; text-indent: 4px; }
.assoc-row-target { height: 13px; line-height: 11px; text-indent: 4px; background-color: #221F1F; color: #c1b9af; }
.row-numeric-summary { height: 13px; line-height: 11px; width: 140px; }
.row-separator-bottom { border-bottom: 1px solid #00000018; }
.row-separator-top { border-top: 1px solid #00000018; }
.breakdown-row { height: 13px; line-height: 11px; text-indent: 4px; }
.breakdown-row-header { height: 26px; text-indent: 4px; }
.breakdown-row-header-2-lines { height: 30px; text-indent: 4px; }
.breakdown-hr { position:absolute; top: 13px; left: 10px; width: 592px; }
.breakdown-hr-2-lines { position:absolute; top: 20px; left: 10px; width: 592px; }
/* TAB ICON/NAME */
.text-title-tab { font-family: RobotoBoldCond; font-size: 15.4px; position: absolute; left: 74px; top: 24px; width:250px; }
.pos-tab-image { position: absolute; left: 45px; top: 21px; }
.pos-detail-tab-icon-text__offset { position: absolute; left: -4px; top: -4px; }
.pos-text-title-tab__no-icon { position: absolute; left: 37px; top: 17px; }
/*
DATAFRAME SUMMARY
------------------------------------*/
.pos-dataframe-summary-title-source { position: absolute; left: 0px; top: 12px; width: 250px; text-align: right; }
.pos-dataframe-summary-title-compare { position: absolute; left: 350px; top: 12px; width: 250px; text-align: left; }
.pos-dataframe-summary-title-compare-none { position: absolute; left: 350px; top: 16px; width: 250px; text-align: left; }
.pos-dataframe-summary { position: absolute; top: 9px; left: 380px; }
.pos-dataframe-summary-rows { position: absolute; top: 47px; left: 19px; }
.dataframe-summary-row { height: 13px; width: 563px; line-height: 12px; }
.pos-df-summary-source { position: absolute; left: 0px; width: 231px; text-align: right;}
.pos-df-summary-center { position: absolute; left: 231px; width: 100px; text-align: center;}
.pos-df-summary-compare { position: absolute; left: 331px; width: 200px; text-align: left;}
.size-df-summary-button { width: 156px; height: 35px; }
.pos-df-summary-button-assoc-source { position: absolute; top: 54px; left: 10px; }
.pos-df-summary-button-assoc-compare { position: absolute; top: 54px; left: 397px; }
/*
FEATURE SUMMARY
------------------------------------*/
.summary-number
{
position: absolute; top: 17px; left: 0px; width: 34px;
font-family: RobotoBoldCond; font-size: 26px;
color: #d9d9d9; text-align: right;
}
.summary-number-vertical
{
position: absolute; top: 25px; left: 6px; width: 34px;
font-family: RobotoBoldCond; font-size: 26px;
color: #d9d9d9; text-align: right;
text-orientation: mixed;
writing-mode: vertical-rl;
}
/* BASE STATS */
.pos-base-stats { position: absolute; top: 65px; left: 74px; }
.pos-base-stats-in-detail { position: absolute; top: 49px; left: 68px; }
.base-stats-row { height: 13px; width: 200px; }
.pos-base-stats__label { position: absolute; left: 0px; text-align: left;}
.pos-base-stats__source { position: absolute; left: 55px; width: 55px; text-align: right;}
.pos-base-stats__source-perc { position: absolute; left: 113px; width: 35px; text-align: right;}
.pos-base-stats__compare { position: absolute; left: 153px; width: 55px; text-align: right;}
.pos-base-stats__compare-perc { position: absolute; left: 211px; width: 35px; text-align: right;}
/* These are all NUMERICAL SUMMARY actually! */
.pos-summary-numeric-group1 { position: absolute; top: 67px; left: 372px; }
.pos-summary-numeric-group2 { position: absolute; top: 67px; left: 560px; }
.pos-summary-numeric-source { position: absolute; left: 40px; width: 50px; text-align: right;}
.pos-summary-numeric-compare { position: absolute; left: 90px; width: 50px; text-align: right;}
.pos-summary-numeric-source-wide { position: absolute; left: 40px; width: 64px; text-align: right;}
.pos-summary-numeric-compare-wide { position: absolute; left: 104px; width: 64px; text-align: right;}
.pos-detail-num__top { position: absolute; top: 63px; line-height: 13px; }
.pos-detail-num-col1__labels { left: 320px; text-align: left; }
.pos-detail-num-col1__source { right: 636px; text-align: right;}
.pos-detail-num-col1__compare { right: 581px; text-align: right; }
.pos-detail-num-col2__labels { left: 520px; text-align: left; }
.pos-detail-num-col2__source { right: 441px; text-align: right;}
.pos-detail-num-col2__compare { right: 386px; text-align: right; }
.pos-summary-text { position: absolute; left: 372px; top: 67px; }
.summary-text { overflow: hidden; text-overflow: ellipsis; position: absolute; height: 14px; white-space: nowrap; }
.pos-minigraph-cat { position: absolute; right: 40px; top: 62px; }
.pos-minigraph-numeric { position: absolute; right: 40px; top: 62px; }
.selector {}
.selector__body { z-index:10; position: absolute; left: 0px; top:40px; width: 1040px; height: 134px; }
.selector__bottom { z-index:10; position: absolute; left: 305px; top:174px; width: 735px; height: 22px; }
.selector__top { z-index:10; position: absolute; left: 0px; top:16px; width: 305px; height: 24px; }
/*
DETAILS
------------------------------------*/
.pos-detail-cat-graph { position: absolute; left: 45px; top: 120px; }
.pos-detail-cat-breakdown { position: absolute; left: 44px; overflow: hidden; }
.pos-detail-num-graph { position: absolute; left: 50px; top: 78px; }
.pos-detail-num-buttons { position: absolute; left: 400px; top: 46px; width: 212px; }
.pos-detail-assoc-graph { position: absolute; left: 28px; top: 84px; }
.pos-detail-assoc-desc-text { position: absolute; left: 37px; top: 41px; width: 800px; line-height: 11px;}
.pos-detail-text { position: absolute; left: 45px; top: 75px; }
/* DETAIL LISTS */
.container-detail-assoc { position: absolute; left: 40px; top: 27px; width: 215px;}
.pos-detail-num-most { position: absolute; left: 20px; top: 606px; }
.pos-detail-num-min { position: absolute; left: 313px; top: 606px; }
.pos-detail-num-max { position: absolute; left: 607px; top: 606px; }
.pos-detail-num-label { position: absolute; left: 0px; width: 56px; }
.pos-detail-num-source-pair { position: absolute; width: 84px; left: 53px;}
.pos-detail-num-compare-pair { position: absolute; width: 84px; left: 135px;}
.pos-detail-num-pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;}
.pos-detail-num-pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; }
/* Number, percentage pairs in CATEGORICAL breakdown */
.pair__col { position: absolute; width: 84px; }
.pair__header { position: absolute; width: 79px; text-align: center;}
.pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;}
.pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; }
/* DETAIL-ASSOC */
.pos-detail-cat-assoc-1 { position: absolute; left: 618px; top: 28px; width: 275px;}
.pos-detail-cat-assoc-CN { position: absolute; left: 618px; top: 565px; width: 275px;}
.pos-assoc-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 156px;}
.pos-assoc-row__source { position: absolute; left: 150px; text-align: right; width: 30px; }
.pos-assoc-row__compare { position: absolute; left: 120px; text-align: right; width: 30px; }
/* NUM-DETAIL COLS */
.pos-num-detail-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 62px;}
hr { background-color: #58544f; height: 1px; border-width: 0px; }
button
{
box-shadow:inset 0px 1px 0px 0px #ffffff;
background:linear-gradient(to bottom, #f9f9f9 5%, #e9e9e9 100%);
background-color:#f9f9f9;
border-radius:6px;
border:1px solid #dcdcdc;
display:inline-block;
cursor:pointer;
color:#666666;
font-family:Arial;
font-size:10px;
padding:3px 13px;
text-decoration:none;
text-shadow:0px 1px 0px #ffffff;
}
.button-assoc {
outline: none;
}
.button-assoc:hover {
border:2px solid #221f1f;
outline: none;
}
.button-assoc:focus {
outline: none;
}
.button-assoc-selected {
border:2px solid #ff0000;
}
.button-assoc-selected:hover {
border:2px solid #ff0000;
}
.button-assoc-selected:focus {
border:2px solid #ff0000;
outline: none;
}
</style>
<style>
span.minigraph-f0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f0-0::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgYUlEQVR4nO3dfbBtZ0Hg6V9INN2UCTECNhixB1stwQapUWm6FboaQiMtugZ72b2CDozyoaMoCpKhhnLo0TZkHJAehObTIoJudXfpbqEBFZA4otCDGUSQYgYbSCWt4SOQxBES0Tt/7B04XHNPwrnn3JvwPk/VqX3P3mut/Z637j33d9bXOePYsWMBAIzsTqd7AAAAp5sgAgCGJ4gAgOGddTrffJmnM6p7VjecznEAAIfqnOq/rtabO8yJyqc1iNrG0FWneQwAwOG7oLr6dA/itjrdQXTznqELspcIAD4fnNN2Z8cd6v/10x1EN7thtd5cf7oHAQCcnGWeTvcQDsRJ1QDA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwzjrdAwD2d8al1x471e957OLzzzjV7wlwOtlDBAAM7zbtIVrm6VerebXenLHM09dVL6/uU72jetxqvfnTZZ6+q3pR9cHqEav15pojGjMAwKG61T1Eyzx9e/XoPU+9vPrj6r7VR6qf2z3/zN1yb60uWubprss8Pe9QRwsAcAT2DaJlns6tXtAuepZ5+jvVN1UvX603V1avqB68Z1sfrD7Uds/TS6rfOJJRAwAcols7ZHZp9cbqDdWPVHffPX/D7vG66s7LPN25+tnq3dU11Sur96/Wmzfd0kaXeTq7Ors656RGDwBwCE64h2iZp2+upurHbsN2jq3Wm5dX51YPry6srlrm6cplnn7+FpZ/RtuYuupzHjEAwCHb75DZM6svqf5L9cu75963ezxv93hu9Rer9eYTe9Z7WfWk6uJqqe63zNMDjtv2JdVdqgsOPHIAgEOyXxA9rvrq6uurH94999XV26snLPP05dVjqzfvWecx1atX6807q2PVx6pPVmfu3fBqvblxtd5c32cOvQEAnDYnDKLVevPnq/XmA6v15gNtT5Ru9+fva3vJ/Xuqu7U9t+jmdS6rnrP79HnV26prqysOf+gAAIfjjGPHTvlNcD9tdxXbddVddnuMgOO4UzVwR3JH/b/dnaoBgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABjeWSd6YZmnL6ieW313dUb16uoJ1X9X/dKeRT+6Wm/uuszTd1Uvqj5YPWK13lxzZKMGADhE++0huqh6TPXQ6h9VD6ueWN2jekv1xbuPe++Wf2b16Oqt1UXLPN11mafnHc2wAQAOzwn3EK3Wm8uqy6qWeTqvuqn6q+rLq6tX683Hj1vlTm33Dn1ot92XVD936CMGADhkJwyimy3z9M7qPtWb2x4Se1X1oGWerqo+XP34ar15Q/Wz1bura6pXVu9frTdvOsE2z67Ors45hK8BAOCk3JaTqh9ZPby6f/W91UurZ1UXtj089ivLPH3har15eXXubtkLq6uWebpymaefv4VtPqO6rrrqpL8CAICTdMIgWubpfss8Xbhab67a7en5neoh1Xur1Wq9eU/1/Or86sv2rPqy6knVxdVS3W+Zpwcct/lLqrtUFxzaVwIAcED77SG6f/Vryzw9cJmn+1YPqq6ofqN68TJP92x74vW11dW7dR5TvXq13ryzOlZ9rPpkdebeDa/WmxtX68311Q2H+cUAABzEfkH0i9WLq9dUv9v2svsXVI+vvqp6XzVV82q9uak+fSL2c3brP696W9tguuLwhw4AcDj2u8rsb6qn7T72+qO2e4tOtN6x3eOl1aWHMEYAgCPlTtUAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAzvrBO9sMzTF1TPrb67OqN6dfWE6q7VK6oHVu+rnrBab96+zNODq1+u/rJ61Gq9ec/RDh0A4HCcMIiqi6rHVA9tGzm/Uz2x+ifVTdV9q6dXv1Ddp3ra7vN7Vd+/zNPF1fOrJ67Wm2NH9QUAAJysEx4yW603l63Wm/NX680V1Z+3jaC/qh5SvXK13lxZvbT62mWe7rbb1tXVn1VnVs+u3iKGAIDbu/32EFW1zNM72+4BenP1ouoF1Q27l6/bPd6temG1qW6snlN942q9ecoJtnl2dXZ1zoFHDgBwSG7LSdWPrB5e3b/63hMsc2y13ry2Or/tobS5ev0yTx9Y5uk1uwDa6xltY+qqgw0bAODwnDCIlnm63zJPF67Wm6tW682b2p5D9JDqI9V5u8XO3T1+qGq13vx12z1Fz6yeXP3A7vVHHrf5S6q7VBccwtcAAHBS9ttDdP/q15Z5euAyT/etHlRdUV1ePXaZp3tVj6/etVpvPlq1zNNDqmtW683r255H9PG2J2SfuXfDq/XmxtV6c32fOfQGAHDa7BdEv1i9uHpN9bttL7t/QfXU3Xp/Un1L9bibV1itN5e33TNU25OqX9d2L9DrD3ncAACH5oQnVa/Wm79peyn904576cq2l+KfaL1ju8dXVa86hDECABwpd6oGAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4Z+334jJPT6+eUp1TvbF6XPWt1S/tWeyjq/Xmrss8fVf1ouqD1SNW6801RzFgAIDDdsI9RMs8XVj9VNsI+obq/tXTq3tUb6m+ePdx790qz6weXb21umiZp7su8/S8oxo4AMBh2W8P0U3Vxav15reqlnm6ovrS6guqq1frzcePW/5ObfcOfWi33ZdUP3fYAwYAOGwnDKLVenN5dXnVMk9fUz2ielT1fdWDlnm6qvpw9eOr9eYN1c9W766uqV5ZvX+13rzplra9zNPZ1dltD8UBAJxWt3pS9TJP96heW71kFzgvrZ5VXdj28NivLPP0hav15uXVudXDd69dtczTlcs8/fwtbPYZ1XXVVYfyVQAAnIR9g2iZp/Or367+oHrq7un3VqvVevOe6vnV+dWX7VntZdWTqourpbrfMk8POG7Tl1R3qS442S8AAOBk7XdS9RdVr6v+rO2VZucu83Re9RvVi5d5umd1UXVtdfVutcdUr16tN++sjlUfqz5Znbl326v15sbVenN9dcNhfjEAAAex3x6i76y+qXpY23OFPrb7eHz1VdX7qqmaV+vNTVWr9eay6jm79Z9Xva1tMF1x+EMHADgc+51UfVl12QleftA+6x3bPV5aXXpSowMAOAXcqRoAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOGdtd+Lyzw9vXpKdU71xupx1RdVr6geWL2vesJqvXn7Mk8Prn65+svqUav15j1HNmoAgEN0wiBa5unC6qeqb6s+WL2+enr1ldVN1X13n/9CdZ/qabvP71V9/zJPF1fPr564Wm+OHeHXAABwUvY7ZHZTdfFqvfmt1Xrz3uqK6kurh1SvXK03V1Yvrb52mae77bZ1dfVn1ZnVs6u3iCEA4PbuhHuIVuvN5dXlVcs8fU31iOpR1f9Q3bBb7Lrd492qF1ab6sbqOdU3rtabp9zStpd5Ors6u+2hOACA0+pWT6pe5uke1Wurl6zWmzedYLFjq/XmtdX5bQ+lzdXrl3n6wDJPr9kF0F7PaBtTVx186AAAh+PWTqo+v/rt6g+qp+6e/kh13u7P5+4eP1S1Wm/+epmnF1bPrC6tfqD6weqR1a/v2fQl1XPb7iESRUfsjEuvPS2HLY9dfP4Zp+N9AeBzdcI9RMs8fVH1urbnBD2lOneZp/PaHkZ77DJP96oeX71rtd58dLfOQ6prVuvN69ueR/Txtlednbl326v15sbVenN9nzn0BgBw2ux3yOw7q2+qHlZ9uPrY7uOpu/X+pPqWtpfiV58+7+jJu0+f3TaoLmh7hRoAwO3SfidVX1ZddoKXH7rPesd2j6+qXnVSowMAOAXcqRoAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOGddWsLLPN0t+qi6rHV96zWm3cv87RUv7RnsY+u1pu7LvP0XdWLqg9Wj1itN9ccxaABAA7TvnuIlnk6p7qy+tfVA6ozdi/do3pL9cW7j3vvnn9m9ejqrdVFyzzddZmn5x3+sAEADs+t7SH6RPUV1Z2r9+95/h7V1av15uPHLX+ntnuHPrTb9kuqnzuUkQIAHJF9g2i13nyq+tAyT3//uJfuWT1omaerqg9XP75ab95Q/Wz17uqa6pXV+1frzZuO3+4yT2dXZ1fnnPRXAABwkg56UvVLq2dVF7Y9PPYryzx94Wq9eXl1bvXw3WtXLfN05TJPP3/c+s+orquuOuD7AwAcmoMG0Xur1Wq9eU/1/Or86sv2vP6y6knVxdVS3W+Zpwfsef2S6i7VBQd8fwCAQ3PQIPqN6sXLPN2z7RVo11ZX7157TPXq1XrzzupY9bHqk9WZN6+8Wm9uXK0311c3HHTgAACH5aBB9Pjqq6r3VVM1r9abm6pW681l1XN2yz2velvbYLriZAYKAHBUbvU+RFWr9eYDfeaS+1brzR9VD9pn+WO7x0urS09uiAAAR8udqgGA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGN5Zt7bAMk93qy6qHlt9z2q9efcyTxdUr6geWL2vesJqvXn7Mk8Prn65+svqUav15j1HNnIAgEOybxAt83ROdWX1juoB1Rm7l55T3VTdt3p69QvVfaqn7T6/V/X9yzxdXD2/euJqvTl2BOMHADhpt3bI7BPVV1TLcc8/pHrlar25snpp9bW7PUl3qq6u/qw6s3p29RYxBADcnu27h2i13nyq+tAyT3//uJfuXt2w+/N1u8e7VS+sNtWNbfcifeNqvXnK8dtd5uns6uzqnAOOGwDg0BzmSdXHVuvNa6vz2x5Km6vXL/P0gWWeXrOLoJs9o21IXXWI7w8AcCAHDaKPVOft/nzu7vFDVav15q/b7il6ZvXk6gd2rz9yz/qXVHepLjjg+wMAHJqDBtHl1WOXebpX9fjqXav15qNVyzw9pLpmtd68vu15RB9ve9XZmTevvFpvblytN9f3mcNuAACnzUGD6Km7df+k+pbqcTe/sFpvLm+7Z6i2J1W/ru2eoNcfeJQAAEfoVu9DVLVabz7QZy65b3d12UP3Wf7Y7vFV1atObogAAEfLnaoBgOHdpj1EAHudcem1p/zeYscuPv+MW1/q9uV0zFPdMecKTjd7iACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4flt97DjN5MDjMseIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHhnne4BAByGMy699tjpeN9jF59/xul4X+Bw2UMEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAM76yDrrjM029WD9/z1HOrL6v+RfWS1Xrz1JMcGwDAKXHgIKruUf1g9Uu7z+9T/bvqm6rfXObp31b/vLp+td78p5MaJQDAETrZIHr/ar35eNUyTzdVN1QfrD5Z3bv64eqfneQYAQCO1IGCaJmnL6y+pPqZZZ5eVv1B9aTqU9X11auqZ1c/tFpvPnEL659dnV2dc8BxAwAcmoOeVH2s+qHqR6pHV/ernrVabx5e/d3qvdXvV89a5ukDyzxNx63/jOq66qoDvj8AwKE5aBCdWW1W680bV+vN26pN2yiq+odtT7Z+5+7z/7H6N8etf0l1l+qCA74/AMChOeg5RP+g+uPdnp8/bnvy9O/uXntW9b3Vf9v2XKKPtg2oT1utNzdWNy7zdMC3BwA4PAfaQ7Rab97V9oTpF1TvqN5X/cTu5e9YrTfvr15X/b3qt6qfOemRAgAckQNfZbZab55fPf8Wnj+2e/z/qm85+NAAAE4Nd6oGAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhnXW6BwDAqXPGpdceOx3ve+zi8884He8Lt5U9RADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAw3NjRgBOKzeL5PbAHiIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHh+2z0A3IIzLr322Kl+z2MXn3/GqX5PtuwhAgCGJ4gAgOEJIgBgeIIIABieIAIAhnfgq8yWefqX1aXVl1Svrp5U/WT1xOo/VctqvTnlZ+gDAHyuDrSHaJmnL6kuqy6pvqn6J9WTq3n3+VdWX7/M04OXeXriIY0VAOBIHPSQ2TdWZ1YvX603/0/1H6sHV5+sPljd0HbP0f9ebU5+mAAAR+egh8zuXv3FnkNi11V3q35v9+c3Vd9X/eRqvfnQ8Ssv83R2dXZ1zu6pc5Z5OuBQuDVnPeAFp+V9l3k697S88QHdXufpdIzLmG67/cZlTJ9xRxtT3T7/nt9BnHPri9z+nHHs2Od+ms8yT/999dzVenPX3efPqr51td48cJmnL6i+s3po271IF1Y/vVpv/v2e9Z9V/S8nPXoA4Pbqv1mtNx843YO4rQ66h+gj1bnLPN1ptd78TXVudfOeoL9XPbX6seq51VKtq3+/Z/1Ldq+dU11VXdD2MBufzfzsz/zsz/ycmLnZn/nZn/nZ383zc+3pHsjn4qBB9J+rT1Xfv8zTb1ff3meC5yfanmD9qeqm6qPVZ/1ultV6c2N1457DZDes1pvrDziWz1vmZ3/mZ3/m58TMzf7Mz/7Mz/7uqKfAHOik6tV685HqcdXTqv+r+v0+E0RPXK03b62uqK5pG0//xwk2dWP1b3aP/G3mZ3/mZ3/m58TMzf7Mz/7Mz/7ukPNzoHOIAAA+n7hTNQAwvAPfqfpElnm6W/WS6p9XH6v+t9V68+92r/2tu1uv1pu/PG7986qXtb067c+rH1mtN6/fXZn2bav15hsOe8yn0jJP31A9tvqq1XrziD3PDz83x7u1ORltPurT/74uavt36HtW6827l3m6oHpF9cDqfdUTVuvN229h3SdXT6/+bvWqthc/fHn1/uofrtabd52SL+KILPP09OopbU/ofGPbw/pflLlpd/Xvc6vvbntO56urJ1R3zfx82jJPv1rNq/XmjGWevq56eXWf6h3V41brzZ/ewjo/3fY2M39dPX+13lyyzNM/rX6nOme13vzFqRr/UVrm6Terh+956jlt/+583szRUewhel7bK83uWz2jet4yT1+zz92tj/eM6t7V17ed7F9c5unORzDOU26Zpx+oXl89rO03opufH35ujncb52SY+aha5umc6srqX1cP6DMXKzyn7QUM963eUv3CLax7n7b/Np/Y9pvaY6t/eeSDPkWWebqw+qm2EfQN1f3b/gc+/NzsXFQ9pu3tUP5R2+9BT8z8fNoyT99ePXrPUy+v/rjt3Hyk+rlbWOdb235felTb2PzJZZ4eePSjPS3uUf1g9cW7j2f2eTZHRxFEf1hdvFpv3l/9+u65u3fiu1sf7yHVerf+C6vz2072py3z9OJlnq5c5umeRzD+o/Qf2sbirxz3vLn5227LnIw0H1WfqL6i7a0s9npI9crVenNl9dLqa3d7kvZ6cPW+1XrzutV6c0X15o6bz2WeHrLM0yeXefqeIxn90bqp7fed31qtN+9te1HHl2ZuqlqtN5et1pvzd1/fn7edr7/K/FSfvhniC9r9h77M099p+4PYy3dz84pO/D3591frzX9erTdvahsHx8/NRcs83bjM0z87wi/hVLhH9f7VevPx1Xrz8d1zn1dzdOhBtFpvnrtab3539+lTqj+t/qAT3936eHdvd1+H1Xpz3e65Ty+3zNOPV/+q7Y0g/+thj/8ordabD6/Wm0/dwkvDz80tuC1zMtJ8tFpvPnVLd35vzzy0nafaZ672LLd3ma9p+wPMT63Wm1cewnBPqdV6c/lqvfnZqmWevqZ6RPWLmZvPsszTO9v+JP//Vi/K/Nzs0raHWd+w+/zuu8e9c3PnW9gDfWtz881t96I8fhcDd0jLPH1h21MXfmaZp6uXefoPbX/gqM+jOTqUc4iWeXph212ytT134/eWeVqq/6l66Gq9+dQJ7ktwWy9xu3m5r66eXf3oar1590kM+ZS5pbm5jat+3s/NAdyWORlpPvbzucxVbb8h/elqvfmpIxrPKbHM0z2q11YvWa03bzqJ7zufd3Oz88i2/zZ+pfreEywz1Pws8/TN1dR27/I/vpXFP9e5+eXqdXfgULzZseqHqvdWf1G9snrWPsvelu3d7HYzR4e1h+gn2p7H8fXV25d5+hdtT3b9V7t7EtWeu1vvPt97d+u9PlKdV5/1O11uXu7O1f9ZPWV3PsUdwWfNzQmWGXVu9nNb5mSk+djPp+eh7TzVPnO1Z7m9y/xRdb9lnr7tCMZ3SizzdH712233SD9197S5qZZ5ut8yTxeu1purdj+F/07bQxnmZ3suzJdU/6Xtf861PcG8Pntu/mK13nziuHVvbW7+sPq2ZZ4ecIjjPR3OrDar9eaNq/XmbW1/afvX7V47b/d4h5+jQwmi1XrzkdV684Hd7yx5YPWr1Y9Wv7fM03m7XWh77279VW3vbv3mqmWeztyzucur71rm6Sur768+XN38E/472v6E86m2J/nd7u2dm9V688kTLDbk3NyKW5yTgedjP5dXj13m6V7V46t3rdabj9Zn/f353ereyzx9+zJPX1/903Z/x3Z+sO1hg5ct83TX7mCWefqi6nXVn7U9VH/u7irE4edm5/7Vry3z9MBlnu5bPajteVbmZ3si/le3/aH1h3fPfXXbH2CfsMzTl7c9kfzNN6+wZ24ur/7xMk8P2l01db8+e26+o+3/h6/anZd0R/UPqquXefqOZZ7u3fYq8rf2eTZHR3FS9bPa/nT+4raX3X+seuGt3N3615d5+rHdn3+6bZ3/320v0/uevSGxu+z6sW3/EX/HEYz/lDM3f9s+czLkfNyKp7b9t/wn1be0nbeWeZrb/vTV7rLoH207h29oewXfrx+3nf+17d3lX3IqBn3IvrPtCZ4PaxvGN3/vMTdbv9j2e/Jr2gbOq9ueRDz8/KzWmz/f8wP9h3bPfaDt95T7VO9pe87Lj1Qt8/TU6td2q7+27W9i+I/VqvqfV+vNHx73Fk9uu4fkkqP8Oo7S7u/AD7f9O/OOtt93f6LPszlyp2oAYHj/P+tCksTstk/fAAAAAElFTkSuQmCC);}
span.detail_graph-f0-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f0-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f0-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f1::before { content: url(data:image/png;base64,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);}
span.detail_graph-f1-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f1-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f1-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f1-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f2::before { content: url(data:image/png;base64,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);}
span.detail_graph-f2-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f2-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f2-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f2-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f3::before { content: url(data:image/png;base64,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);}
span.detail_graph-f3-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f3-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f3-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f3-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f4::before { content: url(data:image/png;base64,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);}
span.detail_graph-f4-0::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAfnElEQVR4nO3dfdSmd0HY+W9INEcPCTGCCqbYxboeYQXZqpTjKrsLoYiid7WXegVdWAXUtbRYkCw91NKtLdAuiCIoL3qMgJfs3dVrBSFVRGOl6i4bFXlZuukBcoIaXsJbV0lEZ/+474FhzMyEZ55hMvP7fM6Z88xz39d1P79f5pn7+eZ3vcwFR44cCQBgZHc52wMAADjbBBEAMDxBBAAM76Kz+cXnaXNBda/qI2dzHADAobqk+uNlu54zJyqf1SBqF0M3neUxAACH74rq3Wd7EHfU2Q6ioytDV2SVCADOB5e0W+w4p36un+0gOuojy3b98NkeBABweuZpc7aHcCBOqgYAhieIAIDhCSIAYHgnPIdonjafUT23+s7qgupV1eOrv1f9/DGbvn/Zrnefp823VT9Vvat6xLJdbz5jowYAOEQnWyG6qnp09dDq71QPq55Q3bN6Q/U5+1/32W//9Opbqt+trpqnzd3nafO8MzNsAIDDc8IVomW7XlNdUzVPm8uq26q/qP5G9e5lu37wuF3u0m516D37131x9ROHPmIAgEN2ysvu52nzpuq+1W+2OyT28urB87S5qXpv9UPLdn1d9aPVW6qbq5dV71i26+tP8JoXVxe3u1cBAMBZdUdOqn5k9fDqAdV3Vy+pnlFd2e7w2CvnafOZy3b96erS/bZXVjfN0+bGedr8zO285tOqD+Uu1QDAncAJg2ieNvefp82Vy3a9ab/S8xvVQ6q3V8uyXd9WPb+6vPrCY3Z9afW91dXVXN1/njYPPO7ln1ndrd0dqgEAzqqTrRA9oPrFedo8aJ4296seXF1f/XL1onna3Kvdide39Il/q+TR1auW7fqm6kj1geqj1YXHvvCyXW/d35n6nLqtNwBwfjpZEL2ielH16uq32l12/4LqcdWXVDdUm2patutt9fETsZ+z3/951e+1C6brD3/oAACH44IjR46ctS8+T5tL251LdDf/lhkAnPvO1Z/t7lQNAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADO+isz2AM+mCZ99y9m7DvXfk6ssvONtjAABOzgoRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAuOtET87T5jOq51XdWF1Svqh5f3b362epB1Q3V45ft+sZ52nxd9QvVn1WPWrbr287s0AEADscJg6i6qnp09dB2kfMb1ROqr6luq+5XPbX6ueq+1VP2n9+7+r552lxdPb96wrJdj5ypCQAAnK4THjJbtus1y3a9fNmu11d/2i6C/qJ6SPWyZbveWL2k+rJ52txj/1rvrv6kurB6VvUGMQQA3NmdbIWoqnnavKndCtBvVj9VvaD6yP7pD+0/3qN6YbVWt1bPqb5q2a5POsFrXlxdXF1y4JEDABySO3JS9SOrh1cPqL77BNscWbbra6rL2x1Km6pr52nzznnavHofQMd6WruYuulgwwYAODwnDKJ52tx/njZXLtv1pmW7vr7dOUQPqd5XXbbf7NL9x/dULdv1L9utFD29emL1/fvnH3ncyz+zult1xSHMAQDgtJxshegB1S/O0+ZB87S5X/Xg6vrquuox87S5d/W46s3Ldn1/1TxtHlLdvGzXa9udR/TBdidkX3jsCy/b9dZlu364Txx6AwA4a04WRK+oXlS9uvqtdpfdv6B68n6/t1ZfWz326A7Ldr2u3cpQ7U6qfm27VaBrD3ncAACH5oQnVS/b9a/aXUr/lOOeurHdpfgn2u/I/uPLq5cfwhgBAM4od6oGAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhXXS2B8C544Jn33LkbI/hyNWXX3C2xwDA+ccKEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwLjrZk/O0eWr1pOqS6terx1ZfX/38MZu9f9mud5+nzbdVP1W9q3rEsl1vPhMDBgA4bCdcIZqnzZXVj7SLoK+sHlA9tbpn9Ybqc/a/7rPf5enVt1S/W101T5u7z9PmeWdq4AAAh+VkK0S3VVcv2/VXq+Zpc331+dVnVO9etusHj9v+Lu1Wh96zf90XVz9x2AMGADhsJwyiZbteV11XNU+bL60eUT2q+p7qwfO0ual6b/VDy3Z9XfWj1Vuqm6uXVe9Ytuvrb++152lzcXVxu0NxAABn1SlPqp6nzT2r11Qv3gfOS6pnVFe2Ozz2ynnafOayXX+6urR6+P65m+Zpc+M8bX7mdl72adWHqpsOZRYAAKfhpEE0T5vLq1+rfqd68v7ht1fLsl3fVj2/urz6wmN2e2n1vdXV1Vzdf542DzzupZ9Z3a264nQnAABwuk52UvVdq9dWf9LuSrNL52lzWfXL1YvmaXOv6qrqlurd+90eXb1q2a5vqo5UH6g+Wl147Gsv2/XWZbt+uPrIYU4GAOAgTrZC9K3VV1cPa3eu0Af2vx5XfUl1Q7WppmW73la1bNdrqufs939e9Xvtgun6wx86AMDhONlJ1ddU15zg6QefZL8j+4/Prp59WqMDAPg0cKdqAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGN5FJ3tynjZPrZ5UXVL9evXY6q7Vz1YPqm6oHr9s1zfO0+brql+o/qx61LJd33bGRg0AcIhOGETztLmy+pHqG6t3VddWT62+uLqtut/+85+r7ls9Zf/5vavvm6fN1dXzqycs2/XIGZwDAMBpOdkhs9uqq5ft+qvLdn17dX31+dVDqpct2/XG6iXVl83T5h7713p39SfVhdWzqjeIIQDgzu6EK0TLdr2uuq5qnjZfWj2ielT1P1Yf2W/2of3He1QvrNbq1uo51Vct2/VJt/fa87S5uLq43aE4AICz6pQnVc/T5p7Va6oXL9v19SfY7MiyXV9TXd7uUNpUXTtPm3fO0+bV+wA61tPaxdRNBx86AMDhOGkQzdPm8urXqt+pnrx/+H3VZfvfX7r/+J6qZbv+ZbuVoqdXT6y+f//8I4976WdWd6uuOPjQAQAOxwmDaJ42d61e2+6coCdVl87T5rJ2h9EeM0+be1ePq968bNf37/d5SHXzsl2vbXce0QfbXXV24bGvvWzXW5ft+uE+cegNAOCsOdkK0bdWX109rHpv9YH9ryfv93tr9bXtLsWvPn7e0RP3nz6rXVBd0e4KNQCAO6WTnVR9TXXNCZ5+6En2O7L/+PLq5ac1OgCATwN3qgYAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4V10tgcA3Hld8OxbjpztMVQdufryC872GIDzmxUiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhXXSqDeZpc4/qquox1Xct2/Ut87SZq58/ZrP3L9v17vO0+bbqp6p3VY9YtuvNZ2LQAACH6aQrRPO0uaS6sfqO6oHVBfun7lm9ofqc/a/77B9/evUt1e9WV83T5u7ztHne4Q8bAODwnGqF6M+rL6o+u3rHMY/fs3r3sl0/eNz2d2m3OvSe/Wu/uPqJQxkpAMAZctIgWrbrx6r3zNPmbx731L2qB8/T5qbqvdUPLdv1ddWPVm+pbq5eVr1j2a6vP/5152lzcXVxdclpzwAA4DQd9KTql1TPqK5sd3jslfO0+cxlu/50dWn18P1zN83T5sZ52vzMcfs/rfpQddMBvz4AwKE5aBC9vVqW7fq26vnV5dUXHvP8S6vvra6u5ur+87R54DHPP7O6W3XFAb8+AMChOWgQ/XL1onna3KvdFWi3VO/eP/fo6lXLdn1TdaT6QPXR6sKjOy/b9dZlu364+shBBw4AcFgOGkSPq76kuqHaVNOyXW+rWrbrNdVz9ts9r/q9dsF0/ekMFADgTDnlfYiqlu36zj5xyX3Ldv3D6sEn2f7I/uOzq2ef3hABAM4sd6oGAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHgXne0BUBc8+5YjZ3sMR66+/IKzPQYAOFusEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwLjrVBvO0uUd1VfWY6ruW7fqWedpcUf1s9aDqhurxy3Z94zxtvq76herPqkct2/VtZ2zkAACH5KRBNE+bS6obqz+oHlhdsH/qOdVt1f2qp1Y/V923esr+83tX3zdPm6ur51dPWLbrkTMwfgCA03aqQ2Z/Xn1RNR/3+EOqly3b9cbqJdWX7VeS7lK9u/qT6sLqWdUbxBAAcGd20hWiZbt+rHrPPG3+5nFPfV71kf3vP7T/eI/qhdVa3dpuFemrlu36pONfd542F1cXV5cccNwAAIfmME+qPrJs19dUl7c7lDZV187T5p3ztHn1PoKOelq7kLrpEL8+AMCBHDSI3lddtv/9pfuP76latutftlspenr1xOr7988/8pj9n1ndrbrigF8fAODQHDSIrqseM0+be1ePq968bNf3V83T5iHVzct2vbbdeUQfbHfV2YVHd162663Ldv1wnzjsBgBw1hw0iJ683/et1ddWjz36xLJdr2u3MlS7k6pf224l6NoDjxIA4Aw65X2Iqpbt+s4+ccl9+6vLHnqS7Y/sP768evnpDREA4Mxyp2oAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIZ30UF3nKfNv6sefsxDz62+sPqG6sXLdn3yaY4NAODT4sBBVN2z+oHq5/ef37f6seqrq383T5t/Wf3d6sPLdv2V0xolAMAZdLpB9I5lu36wap42t1Ufqd5VfbS6T/UPq//+NMcIAHBGHSiI5mnzmdXnVv9mnjYvrX6n+t7qY9WHq5dXz6r+wbJd//x29r+4uri65IDjBgA4NAc9qfpI9Q+qf1R9S3X/6hnLdn149VnV26v/UD1jnjbvnKfN5rj9n1Z9qLrpgF8fAODQHDSILqzWZbv++rJdf69a20VR1Ze3O9n6TfvP/6fqnx+3/zOru1VXHPDrAwAcmoOeQ/S3qj/ar/z8UbuTp39r/9wzqu+u/na7c4ne3y6gPm7ZrrdWt87T5oBfHgDg8BxohWjZrm9ud8L0C6o/qG6ofnj/9Dcv2/Ud1WurL6h+tfo3pz1SAIAz5MBXmS3b9fnV82/n8SP7j/9f9bUHHxoAwKeHO1UDAMMTRADA8AQRADC807lTNXBAFzz7liNnewxVR66+/IKzPQaAOwMrRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAw7vobA8AgDuXC559y5GzPYYjV19+wdkeA2OxQgQADE8QAQDDc8gMgHOSQ3scJitEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADM99iDiv3BnuS1LuTQJwrrFCBAAMTxABAMM78CGzedr8/erZ1edWr6q+t/oX1ROqX6nmZbveKQ5fAACczIFWiOZp87nVNdUzq6+uvqZ6YjXtP//i6ivmafN187R5wiGNFQDgjDjoIbOvqi6sfnrZrv+x+j+qr6s+Wr2r+ki7laP/tVpPf5gAAGfOQQ+ZfV71n485JPah6h7Vb+9///rqe6p/sWzX9xy/8zxtLq4uri7ZP3TJPG0OOJQTu+iBLzj01/xUzdPm0lNtY5x33KnGeWcYYxnnYbsj358cnjvDn/v58p40qEtOvcmdzwVHjnzqp/nM0+Z/qJ67bNe77z9/RvX1y3Z90DxtPqP61uqh7VaRrqz+1bJdf/KY/Z9R/bPTHj0AcGf1Xyzb9Z1nexB31EFXiN5XXTpPm7ss2/WvqkuroytBX1A9ufrH1XOrudpWP3nM/s/cP3dJdVN1RbvDbOcb8zu3md+563yeW5nfuW6U+d1ytgfyqThoEP2f1ceq75unza9V39QngueH251g/bHqtur91SfdpG7ZrrdWtx5zmOwjy3b98AHHcqdlfuc28zt3nc9zK/M71w00v3PKgU6qXrbr+6rHVk+p/q/qP/SJIHrCsl1/t7q+urldPP34CV7q1uqf7z+ej8zv3GZ+567zeW5lfuc687sTOtA5RAAA5xN3qgYAhndG/nHXedp8UfWv211h9v3Ldn3l/vG/dnfrZbv+2XH7Xla9dL/vn1b/aNmu1+6vTPvGZbt+5ZkY8x01T5t7Vn983MNfvmzXN8/T5onVU6vPql5ePXnZrn953P5XVD9bPai6oXr8sl3fOE+bn63uumzXv3+Gp3BK87S5V/XWal2262P3j53zc5unzX2rF7W7j9afVP9s2a4/t3/ufPjevEf14urvVh+o/vWyXX9s/9w5P7+qedp8ZfWY6kuW7fqIYx4/L+Z31Knmcy7N5aj99+dV7f78vmvZrm850XvG7ez7195/qr9RvaP9+++nZRInMU+bp1ZPandC8a+3O63krp3j89tfOf7c6jvbnQ/8qurx1d07x+d2vENfIZqnzd2q32o3+f+u+qX94ye6u/Xxnlbdp/qKdv+xXzFPm88+7HGehntWf9Xujepz9r/euv9h+7x2/3TJw9v9pb+9AHhOu5PN71e9ofq5Mz/kT9lPtPuLXH08JJ7XuT+357e7QvI+1bOqn5mnzeecR9+bz2t3lef92o31efO0+dLzZX7ztPn+6trqYe3ejI8+fl7M76g7OJ9zYi5HzdPmkurG6juqB/aJC21O+Z7xKbz/nDXztLmy+pF2EfSV1QPaRcD5ML+rqke3u5XO32n39+8JnR9z+yRn4pDZ97S7/9C3L9v1D5ftetv+8RPd3fp4D6m2y3Z9R/XC6vJ2/8E/bp42L5qnzY37lYxPt3tW71u26y3Ldv3g/tdftZvLDct2fe2yXa+vfrMTz+9ly3a9sXpJ9WX7/3Oqap42F87T5jXztPn9edrc9Xb2P6PmafOt1Ze3+8Fz1Hkxt2W7PnTZrn9v2a5/XL23+ot2b8zny/fm/11dvR/fL+0f+7zOn/n923bB98rjHj9f5nfUHZnPuTKXo/68+qJ2t2E51knfM/ZO+f4zT5uHzNPmo/O0+a4zMvpTu63d371fXbbr29tdVPT5nQfzW7brNct2vXw/tj9tN9e/6DyY2/HORBB9TbsfNq+fp80752nzL/aPn+ju1sf7vPb3ZVi264f2jx37Q/WHqm9vdyPI4w9dfTrcq/qsedr8P/O0uWGeNv94//jHx713yvntt+m47X68+q+qb1i2638+vGGf2n4Z/sfb1fxHj3nqnJ/bUfO0+W/mafPh6n9vdxjils6T781luz532a6/tf/0SdV/qn6n82d+712268du56nzYn7HuCPzOVfmUtWyXT92e/9qQad+zzh+m6PbHbvNl7b7H4AfWbbryw5huJ+yZbtet2zXH62ap82XVo+oXtF5Mr+qedq8qd0K+/9b/VTn0dyOOpRziOZp88J2y2q1K+PPbrfE+wXVL8zT5rdPsOsdvcTt6Hb/ZbtDHT+4bNe3HHC4n7Lj5vdN1T+tXlc9uHrxPG2uO8Gun+r8HlbdrfrmT9eb2HFz+/3qtct2/Y152vzAKXa908+t/tr8vrF6Y/Vf7x/7sXna/MoJdj0Xvze/cdmuvz1Pm7n6n6uHLtv1Yye4J8g5O787uOs5Mb9PwR2Zz7kyl1P5VOZa9dPVf1q264+cofHcYftzTF9TvXjZrq8/jb97d8b5PbLd99Yrq+8+wTbn6tyqw1sh+uF2x7K/ot0dq1+3bNffXrbrv63+Y3X/jrm79X6fY+9ufaz3VZfVJ/0bMUe3++zq31dP2h+T/nQ5dn43VNcs2/Uty3Z96X68R+d32TH7nHJ++206ZrvPqH63+ifztLnw0EZ/ckfn9vXtlkC/Y542H2wXflftfyCdq3OrT/6z+9zqimW73tDuHx6+rN2x/vPle/ON87T5hnYn2377/n5gdR7N7wTbnMvzuz13ZD7nylxO5WTvGbe3zdHtjt3mD6v7z9PmG8/A+O6wedpcXv1au1XZJ+8fPufnN0+b+8/T5splu960bNfXV7/R7mfFOT+34x1KEC3b9X3Ldn3nsvs3S15dbeZp84B52jys+lvtVo2Ovbv1l7T7gfubtTu35JiXu676tnnafHH1fe0Ovx39v5w/aFepH2t3otanxXHz+8Hq38/T5j7ztHlUux+yf9TuRPL7zNPmm+Zp8xXVf9uJ5/eYedrcu3pc9eZlu75//9xrq027/2b/5AxPq/rE3NrdYPM+7Q5pfUW7FbBfbvcD6ZycW/21P7t/WD1/3l3Z8p3tDgu+tfPne/NB1f/W7nv0t+dpc9n+RNvzYn7Ldv3oCTY7Z+d3Arc7n3N0LqdywveMY+Z7wvefvR9od0XeS+dpc/fOgv05ka9td/Xqk9oF7WWdH/N7QPWL87R50Dxt7tfuyMj1nR9z+yRn4hyiV7S76uHXqpdVP7xs119fTn5361865lycf9VuFeb3252g/V3HvhHuLz19TLs/iG8+A+M/lX9Zvb1d2f5ku2XpN+4vHfzB/WOva3eVyNETW6+fd5fR1u7/HO7S7gfx17b7b/Jxy3a9ud03yT+dp83fPrNT+aSv+7FjfvC8s/qzducxvO9cn9sxnlBd3O7P7ynVVct2/dPz6HvzGe1WB17U7rL7D1QvPI/md7vOt/mdZD7n3FzugNt9z5inzdTuIoFO8f5z1P/S7l9GePGnY9C341vbXRH4sHZxevTv3/kwv1e0e095dbvAeVX1gs6PuX0Sd6oGAIb3/wNP6HejGiZQkAAAAABJRU5ErkJggg==);}
span.detail_graph-f4-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f4-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f4-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f5-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f5-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f5-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f5-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f6::before { content: url(data:image/png;base64,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);}
span.detail_graph-f6-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f6-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f6-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f6-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f7::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASIAAAB4CAYAAABW3P+TAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAANDklEQVR4nO3de6ycRRnH8e+hEJW0pSkUxQAqIERQKFFoAGlRLkIpMLGOOFUsClSIQcvFVrwgWAJCpCLYcq1yzSBjYFRsGwuF1gqoUC6iRgNaGq61FBEEioXjHzNb1uXs2T17ds9sy++TNKdn933fec67e56dd2bO+/T09vYiIlLSJqUDEBFRIhKR4jYt2bizpgd4N/BCyThENjIjgCd9iBvMuEvRRERKQo8XjkFkY7Qt8ETpIJpVOhFVekLbol6RSDuMIH24b1C/T6UTUcULPsR/lw5CZEPnrCkdQks0WC0ixSkRiUhx3XJpJi3oOX/NgGdFemeO7ulELCKDoR6RiBSnRCQixSkRiUhxSkQiUpwSkYgUp0QkIsUpEYlIcUpEIlKcEpGIFKdEJCLFKRGJSHFKRCJSnBKRiBSnRCQixSkRiUhxde9H5KzZDJgNfA7oAX4JnABsBVwNjAMeAU7wId7rrBkP3Ai8BBzhQ/xLZ0MXkY1FfzdGmwJ8FjiQlFzuAKYB+wGvArsBM4BrgV2B0/P32wMnOmtmApcA0zaksiYiMvTqXpr5EK/xIY72IS4HniYln/8CE4DrfIgrgSuBDzhrxuRjPQE8BQwDvgf8VklIRBppeKtYZ81DpB7PncBlwBzeKFXyfP46BpgLRGAtcCGwlw9xep1jvg14G6n0iYi8xTUzWD0ROATYA/hinW16fYjzgdGkSzYLLHTWrHDW3JoTT7UzSElMxRVFpH4ictbs7qw52If4uA9xMWmMaAKwGhiVNxuZv64C8CG+RuoZfQs4GTgpPz+x5vDnAVuQCiuKyFtcfz2iPYCbnTXjnDW7AfsAy4ElwFRnzfbA8cDDPsRnAZw1E4BnfIgLSeNE/yINdA+rPrAPcW0uqLhBVaMUkc7oLxHdAFwO3AosJU3fzwFOy/v9GdgfOLaygw9xCaknBGmwegGp17OwzXGLyEak7mC1D/F10pT86TVPrSRN6dfbrzd/vR64vg0xishGTiurRaQ4JSIRKU6JSESKUyISkeKUiESkOCUiESlOiUhEilMiEpHilIhEpDglIhEpTolIRIpTIhKR4pSIRKQ4JSIRKU6JSESKUyISkeL6reLhrJkBTCdV27iddDfG4ajAooi0UX+VXg8GzgEmAY+Rbvc6A9gRFVgUkTbq79LsVWCmD/HXPsS/km6c/05UYFFE2qy/e1YvIVXswFmzC3AocATwBVRgUUTaqJlKr9sA84ErfIiLnTV9bdbrQ5zvrBlNKrK4ALjMWbMCeBiY7ENcW7X9GcB3Bhl7W/Scv2bAPbbemaN7OhGLyFtVv7NmObEsAu4mlRECFVgUkTbrr9LrcFLP5inSzNlIZ80oVGBRRNqsvx7RZGBv4CDgn8Bz+Z8KLIpIW/U3WH0NcE2dp1VgUUTaRiurRaQ4JSIRKU6JSESKa7iOSDpHa5hEEvWIRKQ4JSIRKU6JSESKUyISkeKUiESkOCUiESlOiUhEilMiEpHilIhEpDglIhEpTolIRIpTIhKR4pSIRKS4Zqp4jAGmAFOBY3yIf3LWbIuqvYpImzQqOT0CWAk8AOwJVG5BcSGq9ioibdLo0uxl4D2Aq3lc1V5FpG367RH5ENcBq5w17615amsGUe1VlV5FpFo779A4kGqvXVPp9a1soHeI1N0hpVNanTUbbLVXVXoVkfVaTUSDqvaqSq8iUq3VRKRqryLSNk2NEfkQV/DG1D15tkzVXkWkLbSyWkSKU10zaclga7KppptUU49IRIpTIhKR4pSIRKQ4JSIRKU6JSESKUyISkeKUiESkOCUiESlOiUhEilMiEpHilIhEpDglIhEpTolIRIpTIhKR4lq+DYiz5lPA+cCWwC+BLwGzgGnArwCnMkIi0oyWekTOmi2Ba0g3wd8b2I90e1ibv98RGOusGe+smdamWEVkI9XqpdlepJvhz/Mh/g34OTAeeAV4jHRT/C2B75PqnImI1NXqpdnWwItVl17PkwosLsv/XwwcB8zyIa6q3bmPAosjnDUthjI4m+45Z8D7OGtGNt6q820P9f4l267dX+raIIuW9vT2DnwYx1nzeWC2D3Gr/P1ZwGE+xHHOms2AyaSb6w8DDgbO9SFeWrX/WajAokgnvS8XvdggtNojWg2MdNZs4kN8nVRksdLzeRep3NCpwGzAAQG4tGr/8/JzI4DHSeWGuqHGWTfF002xQHfF002xQHfFU4llTeE4BqTVRPR7YB1worNmEXAkbySaM0kD1+uAV4FnqSpFBKnAIrC26nLshVxwsahuiqebYoHuiqebYoHuiqfUEMdgtTRY7UNcTSqqeDrwB+Au3khE03yI9wDLgWdISeviOodaC5ydv3aDboqnm2KB7oqnm2KB7oqnm2JpWktjRCIi7aSV1SJSXNsLLDprNgd+AhwG/Ae4wIf4g/zcm1Zj+xBfqtl/FHAVabbtaeCrPsSFeaZtkg/xIwOM5z3ABfl4J/kQf1oqlqrjvhv4MxB9iMfmx04GZgDvIJXpPs2H+FrNftsCVwPjgEeAE3yI9zprrgaG+xA/NYAYxgBXAJ8AniO9Tj/MzxU7N82038m28/FnANNJA7+3k4YhhtPHue9j3ze9jsB2wD+AD/kQH24xppsA60PscdZ8EJgH7Ao8ABzrQ3y0j33OJS2jeQ24xId4nrPmAOAOYIQP8cVWYumETvSIpgETSCuspwOznTU79bMau9YZwA7AWNILf0NObgPmrNkCWEp6U3wMuCU/PuSx1PgR6Y1diXNX4CLSuTsEmAr0lVQuJE0A7Ab8Frh2EDFcRJrh3I30c17krNml9Llpsv1OvS44aw4GziEln48Ae5ASS8NzP4DXcaAxHQl8suqhecAfcyyrSe+n2n0OI523I4DPAbOcNeMGG0undCIRvQ68TJpCfAzozY/VW41dawIQfIj/AOYCo0knfD1nzeXOmpW5Z9Gf43KbR/sQH/QhvpofLxFLZfvJwIeAhVUPjwce8SEu8CEuB+7sJ57rfIgrgSuBD+SeTeXYw5w185019ztrhvexf7X7gJn5Z7slP7Y1Bc9N1kz7nWobUrKZ6UP8tQ/xr6RJl3fS4NxnDV9HZ80EZ80rzppjmgkmL+KcQ042zpq3kxL0vBzL1bVtZBOAu3yIv/chLiYlrtpYpjhr1jprPt5MLJ3UiUQ0l9TVX0OaTTvbh/h36q/GrrU1eS2GD/H5/Fj1L9vXgKNJCyifbBDLfsA/gcXOmhXOmllVbQx1LJVLiotJn5iv9NVOs/HkbajZ7mLgg8DhjbrdPsTZPsSl+dvpwKPA3RQ6NzXHbdR+p9rGh7ikaihhF+BQ4AYan3to/DruQkr65/gQr2sypPNJl4e3VbVBTSyb99EjbBTLR0k9q+NzoiqqLWNEzpq5wJT87WzSJ9T+pE+pS5w119fZtdkpu8p2OwPfA07xIf6piViWA5uTuqjvAm501iwbqlj6iOd+YIEP8Q5nzZebbKfZeA4CtgCOqvfLVxPLJB/iMmeNA74OHOhDXFdnHUpHzs0ANNN+W9t21mwDzAeu8CEuHsR5qd5mHvCoD/GcJmP4KGBIv0f7DqCdZra5kfRebDYhdlS7ekRnkq7XxwIHAL/yIf7Oh/hj4EVSN3H9auy8T/Vq7GqrgVHwf39bVNluc+A3wHRnTb2/qamOZRVwmw9xmQ/xZ8DfgN2HMJbqeA4jnYfPOGv+RVoEOiUnh/XtNBtP3qY6ns2Ae4BvOGuGNYhlLHCvs+Zw0qDv0XntV6WNoTo3fWmm/U61TT7maGARqYd4Wm2bvPncvymuOrE/COzurJnUZCjfIg3Y/52UOCANlFMTy4s+xJcHGMt9wCRnzZ5NxtJRbUlEPsTVPsQV+W9blgMHOmt2dtZMBLYC/sL/r8Z+P+kX8U5IYxtVh1sCfNpZsyNwIunSqvLJ9gAwMR/noiZiuRUwzpo9nDUHATvl+IYklup4SAs/dyBdOo0ldbV/QUoOS4EdnDVHOmvGkpJ5vXimOmu2B44HHvYhPpufW0D69NwJ+EYT52YccBNwCrDMWTMqd++H7NzU0Wf7Q9Q2eWxtAfAU6ZJ1ZL6krnvuq2Kr+zpmXyZdal3lrNmqiXCOJfXwxgJfyY/tDNwLnOCs2Y40IL6+japYlgD7Omv2yTNlu9fEchTp9b8+jzsV1YkxolnAQ6STdSVp4O/uBquxb3HWnJr/fy4p699PGmw+xoe4fjwlT+NOJb0pjmoQyw2kwbxFwHXAmT7E20vE4kNcV0kCORG8RPokW52ndE/JMdxGmjWqDCAvd2k6G9Kn8yakqf/9889Q3cYzpDf7t501H25wbs4i9R4uJ43pPQfMLfQ6Vf8M9drveNvZZNJg8EGkBFc5N32ee2eNJfUuaPA6VnyX9BcHVzQKxIf4dNX7ZVV+bEX+mXclfcCPAb6aYzkNuDnvPp80ZvhzwAPf9CHeV9PEyaRe03mNYuk0rawWkeL+B6Ma+LCiHzodAAAAAElFTkSuQmCC);}
span.detail_graph-f7-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f7-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f7-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f7-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f8::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f9::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASIAAAB4CAYAAABW3P+TAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAMpUlEQVR4nO3dfYxcVRnH8W+pppF0Sy0UhdSiRSWAQFGxMQjVFBWw4DF4hEPEYoQKMdVikQpRQEFAI4QXLfKiAVpz0IPhqEAbeZFqUaMVNJYqpMTa8E55LQFaC+sf5wy9Tnd2Z2Zn5rS7v0+ymZ07997n3Nt7nz1vdzqmv78fEZGSdihdABERJSIRKe4NJYM7a8YAuwMbSpZDZITpAx71IW43/S5FExEpCT1cuAwiI9EU4JHShWhW6URUqwlNQbUikU7oI/1x367up9KJqGaDD/GF0oUQ2d45a0oXoS3qrBaR4pSIRKS4baVpJk0Y891nWhoF6V84aUy3yiLSSaoRiUhxSkQiUpwSkYgUp0QkIsUpEYlIcYOOmjlrzgDmk2Zr3gmcCIwHrgNmAGuAk32IK501hwI3Ai8BR/kQ/9m1UovIiNIwETlrPgqcD8wG/gMsA84A9gQ2Afvm9zcA+wCn5/dTgVOcNQuBK4C529PDdyLSe4M1zTYBC32Iv/EhPgDcC7wFmAks9iGuA64B9nbWTM77egR4DBgLXATcoyQkIkNpWCPyIS4HlgM4a/YCDgeOAj7Plgfqns+vk4FFQAQ2AhcDB/kQ5w+0b2fNOGAcqcknIqPckDOrnTW7AbcBV/sQ72rwUF2/D/E2Z80kYBKwFPiRs2YtsAo4xoe4sbL+mcA5wyx7WzQ7WWTbM+ioWU4stwN/BBbkxeuBifn3Cfn1SQAf4qukmtE3gHnAqfnzI+t2fSGwE+nrP0RklGuYiJw140k1m8dII2cTnDUTSc21Oc6aqcBJwCof4tN5m5nAEz7EZaR+oudIo2hjq/v2IW7MX/uxXX1nioh0x2A1omOADwCHAU8Bz+afBXm71cAhpCF94PV+pXn57UWkRDaFNOImIjKgwTqrrweub/DxrEG268+vS4AlwyqdiIwKmlktIsUpEYlIcUpEIlKcEpGIFKdEJCLFKRGJSHFKRCJSnP4XjxbpWTWRzlONSESKUyISkeKUiESkOCUiESlOiUhEilMiEpHilIhEpDglIhEpTolIRIpTIhKR4vSIxyjR6qMpoMdTpHdUIxKR4pSIRKQ4JSIRKU6JSESKUyISkeKUiESkOCUiESlOiUhEilMiEpHilIhEpDglIhEpTolIRIpTIhKR4pSIRKQ4JSIRKW7I7yNy1kwGjgfmACf4EO931kwBrgNmAGuAk32IK501hwI3Ai8BR/kQ/9m1kovIiDFoInLW9AHrgL8BBwK1L8q6GNgE7AucAdwA7AOcnt9PBU5x1iwErgDm+hBb/mIuERkdhmqavQzsAbi65TOBxT7EdcA1wN655rQD8AjwGDAWuAi4R0lIRAYzaI3Ih7gZeNJZ8/a6j3YFNuTfn8+vk4FFQAQ2kmpNB/kQ59fv11kzDhgH9LVZbtnOtPpVtfqa2tGlk53V/T7E24BJpCabBZY5a9Y6a27JyafmTFICe7iD8UVkO9VuIloPTMy/T8ivTwL4EF8l1Yy+AcwDTs2fH1nZ/kJgJ2BKm/FFZARpNxEtB+Y4a6YCJwGrfIhPAzhrZgJP+BCXkfqJniONoo2tbexD3OhDfIEtzTsRGcXaTUQL8rargUOAE2sf+BCXk2pCkDqrl5JqPsvaLqWIjGhN/b9mPsS1bBm6J4+WzRpk/f78ugRYMrwiishIp5nVIlKcEpGIFKdEJCLFKRGJSHFKRCJSnBKRiBSnRCQixSkRiUhxSkQiUpwSkYgUp0QkIsUpEYlIcUpEIlKcEpGIFNfU14CItPqd06DvnZbmqUYkIsWpRtRDqlWIDEw1IhEpTolIRIpTIhKR4pSIRKQ4JSIRKU6JSESKUyISkeI0j0i2eZp/NfKpRiQixSkRiUhxSkQiUpwSkYgUp0QkIsUpEYlIcRq+lxGv1eF/Df33nmpEIlKcEpGIFNd208xZ82ngu8DOwK+BLwLnAXOBWwHnQ2x5RqyIjD5t1YicNTsD1wMXAh8ADgbmATa/3xOY7qw51Fkzt0NlFZERqt0a0UHAWODHPsR+Z80vgUOBV4D/ABtINaULgNmdKKhIKers7r52E9GuwIuVptfzwGRgRf79LuALwHk+xCfrN3bWjAPGAX15UZ+zps2itOYNB/6wpfWdNRM6tX2r2w53+5Kxh7v9thK7E9v3WN/Qq2x7xvT3t96N46z5HHCJD3GX/P5c4Agf4gxnzRuBY4BZpFrTR4ELfIhXVrY/Fzhn2KUXkUbe4UNcW7oQzWq3RrQemOCs2cGH+BowAajVfN4KLAC+ClwCOCAAV1a2vzB/1gc8DEwhNed6pVTckrF1zL1V+pif6WHMYWs3Ef0Z2Ayc4qy5HTiaLYnmbFLH9WZgE/A08H9tZh/iRmBjpTm2wYf4QptlaVmpuCVj65hH3TFvV9oaNfMhrgdOBE4H/gL8gS2JaK4P8U/AvcATpKR1eYNdbQS+lV97qVTckrF1zKMjdsljbltbfUQiIp2kmdUiUlxXHnp11uwBfI80YnaqD/FneflWs7F9iC/VbTsRuDZv+zjwFR/isjzSNtuH+P4GMXcDHq1bvJ8PcZWzZh5wBvAmYAmwwIf4at32U4DrgBnAGuBkH+JKZ811wHgf4qeHOObdgdVA9CGemJd1Na6zZh/gKtK8rseAc3yIN+TPunmuJwNXAx8HngW+50O8rNtxK9u/H5gDvMuHeHhleddjNxOnEzHq4k0Gjs/HfIIP8f5G180A2251DQJvA/5Nvj9aKUu3dLxG5KzZCfgd6cA/AtyclzeajV3vTGAaMJ10on/qrNmxidC7Aa+RLo4355/V+Wa9lPToycdI/5gD3dwXkzrX9wXuAW5oImbVD4DxtTc9insFaQRzGnAR8BNnzZt7cK4vJY2O7pv3camzZq8exMVZcyqwDDgM2KWyvOuxW4gzrBh18fqAdcBxwIFsGfgZ8rpp4RosrhtNsy+Q5g8d60P8uw9xU15enY39IFCbjV1vJhB8iP8GFgGTSCf7dc6aq5w163ItpGY3YL0P8Rkf4nP557UcY40PcakP8V7g7kHiLvYhrgOuAfbOf4lqMcc6a25z1tznrBlf3dBZcwywH+kGqel6XB/iLB/ip3yIjwJPAf8lXajdPtd/BRbm7W7Oy3btQVyAm0hJ8Gd1y3sRu9k4w41R9TKwB2kaTH2MhtdNNuQ16KyZ6ax5xVlzwhDl6KpuJKKDSTfFXc6atc6a8/LyRrOx6+1KnnfhQ3w+L6vemF8DjiVNoKw2xXYH3uSs+ZezZo2z5qv1+2s2bl6HuvUuB94DfMKH+GKlPBPzZ3NJj7gMtL+Ox63E/5Cz5gXgF6QmwjN0+Vz7EC/xIf4uv50PPAT8sdtx8/pP+RA3N9hnV2O3EGe4MV7nQ9w80NMJDH3d1K8zUFn3Iv0hOd+HuHiwcnRbR/qInDWLSG1YSMP2O5Kqq28FbnTWrGiwabNDdrX13k1qgpyW28nVuEcD3wTuAD4IXO2sWd6huIcBOwGf9CE+Whf3PmCpD/G3zpovNbm/tuLCVud6NrASeG9edpmz5tYOxR7sXM/2Ia5w1jjg68AsH+LmBnNYhhUXtj5mH2Kj66njsTsYZ7gxOl0OgB8DD/kQz+9wOVrWqRrR2aT28HTSDOs7fIgrfIg3AQ8C+1OZjZ23qc7GrloPTIT/e2antt6OwO+B+bntXI27Brjeh3i/D/HavJ/9q/trNm5epxr3jcCfgLOcNWMrcY8gVZGPc9Y8R0qGx+cbpxtxqTvmnYEpPsQ1wPfzfg6g++d6pbPmE6QO2WPzvLHa/jodt/6Yt+qQ7XLsduIMN0YzBrtuBlpnoLL+HdjfWVP8wfSOJCIf4nof4tr8bMstgHHWHOCsOQx4J6mWVJ2N/S7STXs3pH6Qyu6WA59x1uwJnEJq5tX+cvwNODLv59K6uKcBv3fWTHPWHEW6Sf9B6jif5qw52lkzHfjwIHHnOGumAicBq3yIT+fPlgImH8tZtbikyZzTSE2n6aTa2K9IN07H4w5wrr8MXJFHUD5Lahqu7sG5ngH8PJ/zFc6aibkztuNx64/Zh1ht/lZ1JXazcTocoxkNr5tKWRpeg9mXSKN/1zprdqGgbvQR/ZQ0UnA7sBg424d45xCzsW+u9OlcQKrd3Efq+D6hevHlYdI5pH+ET1bifgd4gJTlryRVfVfm4cnT8rI7SCMetQ7We10aioU0rLkD6UY+JJf1dT7EJ0j/cN901rwvL9tcuUHWAi+R+g/WdzNuxVzStxg8kM/r8T7Ex3twrs8l/WW/ijR8/yywqAdxG+pV7EHidPX4BjDgdeOssaTBBIa4Bmu+TXoC4uo2y9ERmlktIsX9DwwmGZzz0C9lAAAAAElFTkSuQmCC);}
span.detail_graph-f9-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f9-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f9-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f9-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f10::before { content: url(data:image/png;base64,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);}
span.detail_graph-f10-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f10-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f10-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f10-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f11::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASIAAAB4CAYAAABW3P+TAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAMyElEQVR4nO3df7CUVR3H8TeiQzlcZFA0HcJSixFTcVKZtMBSSw30THiy42TQpKTTkCgGWWaWjqiTRpqUGhMKzrFOk6dfwPgDxbAcQ9SJdCpNZPxJaCqOeRns9sc5F9b1/tof13P38nn9s3effc4+H5599rvnOc/ZZUhHRwciIiXtVDqAiIgKkYgUt3PJjTtrhgD7AJtL5hAZZNqA53yILTPuUrQQkYrQM4UziAxGY4BnS4foqx4LkbNmLjCbVGHvBmYAw4HFwETgCeAsH+IaZ80k4DbgDWCqD/HxPmy/syc0BvWKRJqhjfTh3lLvp24LkbPmeOAyYArwNLACmAvsD2wBDsr3bwHGAxfk+2OBs50184DrgJl96CJu9iG+1tg/RUScNaUj1KWnweotwDwf4h0+xL8Da4G9gMnAEh/iBuAm4EBnzej8XM8CzwNDgSuA+1vpPFVEyui2R+RDXAWsAnDWjANOAKYCX2Z7t+/VfDsaWAhEoB24GjjChzi7q+d21gwDhpG6kSKyg+t1sNpZszewDLjRh7iym65fhw9xmbNmFDAKWA781FmzHlgHTPMhtlesfyHw3Qaz96shV75cU0+uY96oIf2VRWSw63EeUS4sdwJ/BubkxZuAkfnvEfl2I4AP8S1Sz+giYBZwTn78pKqnng/sRhqkFpEdXLeFyFkznNSzeZ505WyEs2Yk6XRturNmLHAmsM6H+FJuMxl40Ye4gjRO9ArpKtrQyuf2IbbnwemWGtkXkf7R06nZNODI/Pe/K5bvC/wceAz4J+mSPpDGlZw19+W7V5AK2WOkK27SAmo9JQWdlkrjehqsvhm4uZuHj+2hXUe+XQosbSidiOwQ9F0zESlOhUhEilMhEpHiVIhEpDgVIhEpToVIRIpTIRKR4lSIRKS40r/QKIOMZmZLPdQjEpHiVIhEpDgVIhEpToVIRIpTIRKR4lSIRKQ4FSIRKU6FSESKUyESkeJUiESkOBUiESlOhUhEilMhEpHiVIhEpDgVIhEpToVIRIpTIRKR4lSIRKQ4FSIRKU6FSESKUyESkeJUiESkOBUiESlOhUhEitN/sNgP9J8MitRGPSIRKU6FSESKUyESkeJUiESkOBUiESmu16tmzprRwOnAdOAMH+LfnDVjgMXAROAJ4Cwf4hpnzSTgNuANYKoP8fF+Sy4ig0aPhchZ0wZsAB4BDgM6LzFfDWwBDgLmArcA44EL8v2xwNnOmnnAdcBMH2LNl7Rlx1Pr1AdNexgcejs1+y+wL+Cqlk8GlvgQNwA3AQfmntNOwLPA88BQ4ArgfhUhEelJjz0iH+JWYKOz5gNVD+0JbM5/v5pvRwMLgQi0k3pNR/gQZ1c/r7NmGDAMaKszt4gMIs0crO7wIS4DRpFO2Sywwlmz3lnz+1x8Ol1IKmDPNHH7ItKi6i1Em4CR+e8R+XYjgA/xLVLP6CJgFnBOfvykivbzgd2AMXVuX0QGkXoL0SpgurNmLHAmsM6H+BKAs2Yy8KIPcQVpnOgV0lW0oZ2NfYjtPsTX2H56JyI7sHoL0Zzc9jHgE8CMzgd8iKtIPSFIg9XLST2fFXWnFJFBrU/fvvchrmf7pXvy1bJje1i/I98uBZY2FlFEBjvNrBaR4lSIRKQ4FSIRKU6/0DgI6WsS0mrUIxKR4lSIRKQ4FSIRKU6FSESKUyESkeJUiESkOBUiESlOhUhEilMhEpHiVIhEpDgVIhEpToVIRIpTIRKR4lSIRKQ4FSIRKU6/RzQA1fp7QqDfFJLWpkIkg4YKeOvSqZmIFKdCJCLFqRCJSHEqRCJSnAqRiBSnQiQixakQiUhxKkQiUpwKkYgUp0IkIsWpEIlIcSpEIlKcCpGIFKdCJCLFqRCJSHEqRCJSnH4YTSRr9IfVam2vH2XbTj0iESmu7h6Rs+ZU4Epgd+B3wFeBS4GZwB8A50Os+RNGRHY8dfWInDW7AzcD84EjgaOBWYDN9/cHJjhrJjlrZjYpq4gMUvWemh0BDAUW+RD/AfwGmAS8CTwNbCb1lH4AxMZjishgVu+p2Z7A6xWnXq8Co4HV+e+VwFeAS32IG6sbO2uGAcOAtryozVlTZ5T+sfNh19e0vrNmRL1tS7dX9jLtK9s2UVvvqww8Qzo6ah/GcdZ8CbjGh7hHvn8JcKIPcaKzZhdgGnAsqdd0PHC5D/EnFe0vAb7bcHoR6c4HfYjrS4foq3p7RJuAEc6anXyI/wNGAJ09n/cBc4DzgWsABwTgJxXt5+fH2oBngDGk07mBrFWytkpOaJ2srZITtmd9uXSQWtRbiB4EtgJnO2vuBE5me6G5mDRwvRXYArwEvG2+hA+xHWivOB3b7EN8rc4s74pWydoqOaF1srZKTnhb1pZS12C1D3ETMAO4APgL8Ce2F6KZPsQHgLXAi6SidW03T9UOfC/fDnStkrVVckLrZG2VnNBaWbepa4xIRKSZNLNaRIrrl++aOWv2Ba4iXTE7x4f4i7z8HbOxfYhvVLUdCfwst30BONeHuCJfaZviQzy8yVn3AR4Dog9xRl42C5gLvBdYCszxIb5V1W4MsBiYCDwBnOVDXOOsWQwM9yGe2sSMo4Ebgc8A/wGu8iH+KD824PZpxXZ7zFYqV972XGA2aXD3btJQw3C6eE27aPuO4wN4P/AUcLAPcV0/5P0lYH2IQ5w1HwEWAeOBR4AZPsQnu2hzOWkazVvAdT7E+c6aY4B7gDYf4uvNzlmvpveInDW7AfeRXqRPArfn5d3Nxq52IbAfMIF0UNzqrNm12Tkr/Jh0AJJzjgcWkL6q8mlgOtBVUbmaNBh/EHA/cEs/ZlxAuhp5EGn/LHDWjBvA+7Svr/e7nitnOx64jFR8DgcOJRWWXl/TGo6PZuY9GfhcxaJFwF9zzk2kY7i6zYmk/T0V+CJwqbNmYn/mbER/nJp9hTR/6DQf4qM+xC15eXezsatNBoIP8SlgITCKtMO3cdbc4KzZkHszdXPWTAMOBlZULJ4EPOFDXO5DXAvc20POJT7EDcBNwIG559L53EOdNcucNQ87a4Z30b4WDwHz8j65PS/bkwG4Tyv0JVuJXJCKzTwf4h0+xL+TLqzsRS+vadbr8eGsmeysedNZc0ajQfOkx+vJxcZZ8x5SYV+Ucy6u3n42GfiTD/FBH+JKUuGqznm6s6bdWfOpRnM2qj8K0dHAv4GVzpr1zppL8/LuZmNX25M8V8OH+GpeVvkG/wZwGmkC5XP1hsynBdeSPtne7Gr7fc2Z16FqvWuBjwCfbbQL7EO8xod4X747G3gS+DMDbJ92sc3espXIhQ9xlQ/xh3kb44ATgFvp/TWF3o+PcaQPi8t8iEuaEPdK0qnjXRXbpyrnrl30JHvL+XFSz+rMXKiKasoYkbNmIXB6vrsW2JXULXwfcJuzZnU3Tft6ya5zvQ8DVwDn+RD/1mDOh4HlPsR7nDVf6+P2+5rzOGA34JR630BVWaf4EFc7axzwTeBYH+LWbuaMvKv7tEZ9yfau5XLW7A0sA270Ia5sYH9WrrMIeNKHeFkT8n0cMKRe4lE1ZOjLOreRjv9mFMuGNatHdDHpPH8CaYb1XT7E1T7EXwH/AA6hYjZ2blM5G7vSJmAkvO27OJ3r7Qr8EZjtrKnnOzWdOU8kdV2/4Kx5hTQh8/T85t+2/b7mzOtU5twFeAD4lrNmaB05K7NOANY4az5LGtg9Lc/T6sxQep92py/ZSuQib28UcCepZzmnOg/vfE3fkblivcp1HgUOcdZMaULMi0gD/f8iFQ5Ig+hU5Xzdh/jfGnM+BExx1hzWhJwNa0oh8iFu8iGuz99t+T1gnDWHOmuOAw4g9ZIqZ2N/iPTmvxfSeErF060CPu+s2R84m3Sa1/mJ+AhwUn6eBfXmJE3C3I906jSB1O39LenNfx+wn7PmZGfNBOCYHnJOd9aMBc4E1vkQX8qPLSd9kh0AfKvWnJVZc96JwC+B84DVzpqRuStefJ/2oMtsAyAXecxuOfA86VR3RD5V7/Y1rcjd7fGRfY10OvUzZ80eDUadQeoZTgC+npd9GFgDnOWseT9psHzb9ityrgKOctZ8LF8pO6Qq5ymkY2ppHncqqj/GiG4lDaDdCSwBLvYh3t3LbOzbnTXn578vJ1X9h0kD32f4ELeN4eTLv9NJB8wp9QT0IW7tfJPnN/obpE+VTfnS63k5212kKz+dA8Rr8yVpSJ+iO5Eu/X8i/9sqt/Ei6aD8jrPmo/XkrHAJqYdwA+ny/X+AhQNpn1brIVvRXNk00oDvcaTi17lPu3xNnTWW1IOgl+Oj0/dJ3yq4sZGQPsQXKo7RjXnZetK+Gg88Thr3OTfnnAP8OjdfRhqn/A3ggW/7EB+q2sQsUq9pfiM5m0Ezq0WkuP8DORTmvGt8ecAAAAAASUVORK5CYII=);}
span.detail_graph-f11-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f11-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f11-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f11-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f12::before { content: url(data:image/png;base64,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);}
span.detail_graph-f12-0::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAczUlEQVR4nO3df7RvdV3n8dcFknK8gFcxUUbLpuVS02JVOk4pk7/SktpL242bMi3xV0bRYNxozKHRwltpFGmJ0kg4bms30+4XkApFS9MatTTRbFEgAzUgPwRM5S6cM3/sfeB4vedc+N5z7rnnvh+Pte46nO/Pz4f9Pd/z/O5fZ9vS0lIAACo7bLMHAACw2QQRAFCeIAIAyjtiM5+8a5ttSR6S5PbNHAcAsK62J/nnfhi3zI7KmxpEmWLo2k0eAwCw/o5Pct1mD+Ke2uwgWl4zdHysJQKAQ8H2TCs7ttTv9c0OomW398N422YPAgDYP13bbPYQFmKnagCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKO2KzB3Co27br5qXNeu6lnTu2bdZzA8BWYg0RAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8o7Y7AHA3mzbdfPSZj330s4d2zbruQHYHNYQAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoLwj1rqya5szkpyWZHuSS5O8MMmzkrxjxc1u6ofxgV3bfH+S30zyqSTP7Ifx+o0YMADAelt1DVHXNk9P8tpMEfQtSb4xyRlJjkvyviT3n/89Yr7Lq5I8J8kHkpzctc0Du7Y5Z6MGDgCwXtZaQ7Q7yc5+GN+VJF3bfDjJVyf5iiTX9cP4mT1uf1imtUM3zI97XpJfX+8BAwCst1WDqB/Gy5NcniRd2zwyyTOTnJTkRUme2LXNtUk+neSn+mF8T5JfSXJFkuuTXJjkqn4YL9vbY3dtc2SSIzNtigMA2FT73Km6a5vjklyU5Lw5cN6S5KwkT8+0eex3ura5Tz+M5yc5Kskz5uuu7drmmq5tfmsvD3tmkluTXLsuswAA2A9rBlHXNjuSvDvJ+5OcPl/8ySR9P4yfSHJukh1JHrribm9N8tIkO5N0SR7Xtc0Jezz02UmOTnL8/k4AAGB/rbVT9f2SXJzkXzIdaXZU1zbHJPnDJG/u2uYhSU5OcnOS6+a7/UCSP+qH8aNJlpLckuQLSQ5f+dj9MN7RD+NtSW5fz8kAACxirTVEz03y+CRPy7Sv0C3zv1OSfH2SK5M0Sdp+GHcnST+MFyR5/Xz/c5L8VaZg+vD6Dx0AYH2stVP1BUkuWOXqJ65xv6X5664ku/ZrdAAAB4AzVQMA5QkiAKA8QQQAlCeIAIDyBBEAUN6af+0e2Fq27bp5abOee2nnjm2b9dwA+8saIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAo74i1ruza5owkpyXZnuTSJC9Mcr8kb0vyhCRXJnlxP4wf7NrmyUnemeRzSU7qh/ETGzZqAIB1tGoQdW3z9CSvTfLsJJ9KckmSM5J8XZLdSR4zf//bSR6d5JXz9w9L8rKubXYmOTfJS/phXNrAOQAA7Je1NpntTrKzH8Z39cP4ySQfTvLVSU5McmE/jNckeUuSR3Vtc+z8WNcl+Zckhyd5XZL3iSEA4GC36hqifhgvT3J5knRt88gkz0xyUpIfTnL7fLNb56/HJnlTkjHJHUlen+Rb+2E8bW+P3bXNkUmOzLQpDgBgU+1zp+qubY5LclGS8/phvGyVmy31w3hRkh2ZNqW1SS7p2ubqrm3+eA6glc7MFFPXLj50AID1sWYQdW2zI8m7k7w/yenzxTcmOWb+76PmrzckST+MX8y0puhVSU5N8vL5+u/a46HPTnJ0kuMXHzoAwPpYNYi6trlfkosz7RN0WpKjurY5JtNmtBd0bfOwJKck+Vg/jDfN9zkxyfX9MF6SaT+iz2Q66uzwlY/dD+Md/TDelrs3vQEAbJq11hA9N8njkzwtyaeT3DL/O32+38eTPCnTofhJ7trv6NT529dlCqrjMx2hBgBwUFprp+oLklywytVPXeN+S/PXtyd5+36NDgDgAHCmagCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyjtiXzfo2ubYJCcneUGS5/fDeEXXNl2Sd6y42U39MD6wa5vvT/KbST6V5Jn9MF6/EYMGAFhPa64h6tpme5JrkjwvyQlJts1XHZfkfUnuP/97xHz5q5I8J8kHkpzctc0Du7Y5Z/2HDQCwfva1hujzSR6e5L5Jrlpx+XFJruuH8TN73P6wTGuHbpgf+7wkv74uIwUA2CBrBlE/jHcmuaFrm6/Z46qHJHli1zbXJvl0kp/qh/E9SX4lyRVJrk9yYZKr+mG8bM/H7drmyCRHJtm+3zMAANhPi+5U/ZYkZyV5eqbNY7/Ttc19+mE8P8lRSZ4xX3dt1zbXdG3zW3vc/8wktya5dsHnBwBYN4sG0SeT9P0wfiLJuUl2JHnoiuvfmuSlSXYm6ZI8rmubE1Zcf3aSo5Mcv+DzAwCsm0WD6A+TvLlrm4dkOgLt5iTXzdf9QJI/6ofxo0mWktyS5AtJDl++cz+Md/TDeFuS2xcdOADAelk0iE5J8vVJrkzSJGn7YdydJP0wXpDk9fPtzknyV5mC6cP7M1AAgI2yz/MQJUk/jFfn7kPu0w/jR5I8cY3bL81fdyXZtX9DBADYWM5UDQCUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKO+IzR4Am2fbrpuXNuu5l3bu2LZZzw0Ae7KGCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFDeEfu6Qdc2xyY5OckLkjy/H8YrurY5PsnbkjwhyZVJXtwP4we7tnlykncm+VySk/ph/MSGjRwAYJ2sGURd22xPck2Sv01yQpJt81WvT7I7yWOSnJHkt5M8Oskr5+8fluRlXdvsTHJukpf0w7i0AeMHANhv+9pk9vkkD0/S7XH5iUku7IfxmiRvSfKoeU3SYUmuS/IvSQ5P8rok7xNDAMDBbM01RP0w3pnkhq5tvmaPqx6U5Pb5v2+dvx6b5E1JxiR3ZFqL9K39MJ625+N2bXNkkiOTbF9w3AAA62Y9d6pe6ofxoiQ7Mm1Ka5Nc0rXN1V3b/PEcQcvOzBRS167j8wMALGTRILoxyTHzfx81f70hSfph/GKmNUWvSnJqkpfP13/XivufneToJMcv+PwAAOtm0SC6PMkLurZ5WJJTknysH8abkqRrmxOTXN8P4yWZ9iP6TKajzg5fvnM/jHf0w3hb7t7sBgCwaRYNotPn+348yZOSvHD5in4YL8+0ZiiZdqq+ONOaoEsWHiUAwAba53mIkqQfxqtz9yH3mY8ue+oat1+av749ydv3b4gAABvLmaoBgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyjtjsAcBWs23XzUub9dxLO3ds26znBjiUWUMEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUN4Ri96xa5s/TfKMFRe9IclDk3x3kvP6YTx9P8cGAHBALBxESY5L8ook75i/f3SSX03y+CR/2rXNzyf5ziS39cP4J/s1SgCADbS/QXRVP4yfSZKubXYnuT3Jp5J8Ickjkvx4kqfs5xgBADbUQkHUtc19kjwgyS91bfPWJO9P8tIkdya5Lcnbk7wuyY/1w/j5vdz/yCRHJtm+4LgBANbNojtVLyX5sSQ/keQ5SR6X5Kx+GJ+R5KuSfDLJXyY5q2ubq7u2afa4/5lJbk1y7YLPDwCwbhYNosOTjP0wXtoP418lGTNFUZI8NtPO1h+dv//RJD+3x/3PTnJ0kuMXfH4AgHWz6D5E/y7J381rfv4u087TfzFfd1aSH0nyzZn2JbopU0DdpR/GO5Lc0bXNgk8PALB+FlpD1A/jxzLtMP3GJH+b5Mokr56v/t5+GK9KcnGSByd5V5Jf2u+RAgBskIWPMuuH8dwk5+7l8qX5678medLiQwMAODCcqRoAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyjtiswcA1LBt181Lm/XcSzt3bNus5wa2BmuIAIDyBBEAUJ4gAgDKE0QAQHmCCAAob+GjzLq2+b4ku5I8IMkfJXlpktckeUmSP0nS9cO4aUeVAADcUwutIera5gFJLkhydpLHJ/m2JKcmaefvvy7JN3Vt8+SubV6yTmMFANgQi64h+tYkhyc5vx/Gpa5t/iDJk5N8Icmnktyeac3RLyR59noMFGCjOEcSsGgQPSjJZ1dsErs1ybFJ3jv/92VJXpTkNf0w3rDnnbu2OTLJkUm2zxdt79pmwaEc3I444Y2b9txd2xy11vXGtnfGthhjW8y+xgZb0PZ93+Tgs21p6d5/MOra5oeSvKEfxgfO35+V5Fn9MD6ha5uvSPLcJE/NtBbp6Ul+oR/G31hx/7OS/Nf9Hj0AcLD62n4Yr97sQdxTi64hujHJUV3bHNYP4/9LclSS5TVBD05yepL/nOQNSbokQ5LfWHH/s+frtie5NsnxmTazHWrMb2szv63rUJ5bYn5bXZX53bzZA7k3Fg2iv05yZ5KXdW3z7iTfk7uD59WZdrC+M8nuJDcl+ZJt5P0w3pHkjhWbyW7vh/G2Bcdy0DK/rc38tq5DeW6J+W11hea3pSx0lFk/jDcmeWGSVyb530n+MncH0Uv6YfxAkg8nuT5TPP3aKg91R5Kfm78eisxvazO/retQnltiflud+R2EFtqHCADgUOJM1QBAeQufqfre6Nrm4Ul+MdMRZy/vh/F35su/7GzX/TB+rmubpSQn9cP4xwdifOuha5uHJPl4krEfxhfOl52a5IwkX5Xk7Zl2Nv+3Sa5K8th+GD+2OaO957q2OTbJeUm+M8ktSX6xH8Zfna87ZJZfsurZ1/81W3Auy7q2OSPJaZl2crw006bu+yV5W5InJLkyyYv7Yfxg1zZvS3K/fhi/bzPGuj+6tvndJG0/jNu6tvmGJOcneXSSv03ywn4Y/7Frmz9P8sF+GF+5eSO9d7q2OSzJTyf5kSR/3w/js7u2OT6HyPLr2uaUTEcc3z/T6Vp+KFv89Tm/Z56c5AVJnt8P4xWrLbP59r+Q6TQ1X0xybj+MZ3dt8x+T/FmS7f0wfvbAz2J1q8zvWzLtNvPYJP+Y5Mf7Ybx0vv2Wmd+GryHq2uboJH+RKQq+I8nvz5evdrbrrerXM/0gJ0m6tnl0knMy/SmTZ2R68RzUP8irOCfTkYOPSXJmknO6tnnkobb8DrX5JEnXNk9P8tpMEfQtSb4xU6C/PtMBD49J8r4kv71JQ1wXXdt8T5LnrLjo/CR/l2l+N2b62dyq3pDkFZk+TP3QfNkhsfzmn7k3J/n5JI9L8qhM+6Vu2fl1bbM9yTVJnpfkhNx9QNFe59S1zbMyvc+clOQHk7yma5snHOBh32N7m98c7f8r0/7CX5fp9/2F8+231PwOxCazF2U6H9F/6ofxI/0w7p4vX3m2639Isny267t0bfOorm1u6drmVQdgnAvr2ua5mcr4khUXPznJlf0wXtwP44eT/Hm+fH4ndm3zha5tnn/ABnvvfSjJzn4Yr8ocs5lOzHnILL/ZmvPZYnNZtjvTsntXP4yfzHSgw1cnOTHJhf0wXpPkLUkeNX/qS5J0bXN41zYXdW3zN13b3G+vj3yQmE9q+MbM0dO1zVdmCtrz5/m9LV/+uvw3Xdt8qGubi7u2OSBryRfRtc2DMsXQy/th/IN+GJcPYT5Ult+2TGsNrk1yXaa1sXdma8/v80kenul0MyutNqcTk/xlP4x/3Q/jZZlCfs/X68ld29zRtc1TNn74+7S3+d03yTuSnN0P43VJLkrygK5tDs8Wm9+BeDP4tiSfTnJZ1zbHZXpR/GxWP9v1sgclOTfJ7/XD+NoDMM6FdG1zTKaj6H4w05vXsgflS88vsef8HpnpB+O1/TBeuMHDXFg/jG9Y8e1pmVaHvj/TKtMtv/xWWOv1uNXmkiTph/HyJJcnSdc2j0zyzEyf1H44d782b52/rlx2v5bkG5L8+4NpdfYqdmXaFPieJD+RaVklXzq/+3Ztc9/5+8OS9PPXth/GOw/gWO+tJ2T+MNm1zRuTfCzJi/Ol7y1bdvn1w3hj1zZnZto8vTvTe8vrMp26ZUvOb3493dC1zdfscdVqy2xfvye+PdMaz1PmoNhUe5vfvAx+OrlrE++pSd7ZD+MX56jfMvPbkCDq2uZNmX5hJtOn0vtm+p/04CTv7NrmvavcdeUhb2/I9LfRfnQjxrg/9pjf3yS5uB/GP+va5hVr3C350vmdn+QfD8ZfsHvM79n9ML63a5su04v+qf0w3rnKeSa2xPK7F5bns6XnMn8QuSjJef0wXraPZfe0JEcn+d5+GP/5wIxwMV3bfHuSJtNmiP+wj5svz+9HMs3vGw+2X6Z7cf9M435fkl/O9J7xS6vcdisuv4dm2n/oFZk2t/RJfnKVm2+5+d0Dqx3ivfLyd2b6/XLQfmjewxuTPCJfvoZspYN2fhu1yezVSb5p/ndDkvf0w/jefhh/L8k/ZNpefNfZruf7rDzbdebb3TfTjq0Hm+X5PSvTKsHndW3zmUwnqDx5Doobkxyz4j57zu8jSR7Xtc3B+MdvVy6/D3Zt891J3ppps+cH5tts5eW3N2vNZ6vN5S5d2+xI8u5Ma/VOny9e+dpc/jtay3P9iiQfSPIz8yrvg9mrMu0A/0+Z3liTaYfV5Evn99l+GD8/f78705qWVx+gMe6PG5J8vh/GN/XD+DeZ5rj83nnMfJutvPy+Lcnh8/w+mGk/lGfl0JnfSqvNaV+/Jz6U5Nld25ywwePbb13bnJ3pd+Az+mG8ab54S81vw89D1LXND2Zarf1dmVaVXZTpRf+RTDtnvTLTG/bFSX6jH8bXLx+llGmN0q8lOWHeB+KgMu9/cPyKi96U5HNJXpZp7B/N9An2mkxHULw40wvgqkz7HD0vySlJvmE+2eVBp2ubEzMts59M8rvzxbszBcKWXn4rdW3zwOxlPpk+mW+puSyb96+4NMltmT6xLW8eekumN6kXZZrvd/TD+Njlo3gyfWK/Ismv9sP4mgM87Husa5sHJ/nK+dunZFqD8rWZ/lTQxzMF0zlJ7tMP40nLR5kl+e+Zfg5ffLB8Mt2b+YCUf0pyVqbNSu/ItFnpK3NoLL/HZToK8HmZTvD7PzOtKXpAtvj85k1Kdx1N3LXNkL3P6bszvV6fmukPnr8n06bS7ZmPwkrym5l2YP7mfhi/cICnsld7md8ZSX4m02b5v59v9rlMR5ZvmfkdiJ2q/0emHRvfnWnP81f3w3jpPs52nSTph/GtmXZGvvBg3PmxH8Y7+2G8evlfphfAZ/thvHE+pP4nM83pPZmOYPr9PR7iv2U6m/d5B3DY99ZZmeLnzZkOu78lyZsOheW30r7ms5XmssJzM+1g/LRM+/EtL7/TM/3sfzzJkzLN+y79MF6f6ZfOz3Zt880HcLz3Sj+M/3fFz94N82VXZ/ql8+gkn8j0Iewn9rjfFZk21Zzbtc3DDuSY741+GG/NdPTcSzPtjHpTpmV3qCy/jyb5sUxHYH00yf/JFLGHxPz2sNqcLsr0QesPMm0y/C/9MH5oj/uemimmzj4QA13QrkybMt+fu99nTs4Wm58zVQMA5f1/YeQK2+5CfRQAAAAASUVORK5CYII=);}
span.detail_graph-f12-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f12-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f12-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f13::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASIAAAB4CAYAAABW3P+TAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAANYElEQVR4nO3df7CUVR3H8TdgQzlcJAr6MURlP0wswylj+qFUaqWhnolOdpwMKjUdh8QwyDKzdEQtzbSoNGZQcI51mjz2A5hUCsNsCtEm0mq0iDSTQEUc9TLY7Y9zFrbl7t69e3c5y+XzmmHu3Wf3ec73nt372fOc5+xlRF9fHyIiJY0sXYCIiIJIRIrbr2TjzpoRwMuBbSXrEBlmeoB/+RD3mnmXokFECqGHCtcgMhxNAh4uXUSzSgdRZSQ0CY2KRNqhh/Tmvlf9PpUOooptPsQnSxchsrdz1pQuoSWarBaR4hREIlJct5yaSZuMuOyxlq6U9C0YP6LdtYg0SyMiESmu4YjIWTMfmEuaib8dmA2MAZYA04AHgNN8iGudNUcCNwFPA8f7EO/vWNUiMqzUDSJnzTHAxcAM4B/ASmA+8BpgO3BIvn0DMAU4N9+eDJzhrFkAXAOcvjctrBKRPa/Rqdl2YIEP8Rc+xL8A64CXANOBpT7EjcB1wMHOmgn5WA8DjwCjgEuBOxVCIjKQuiMiH+JqYDWAs+Yg4APA8cAn2LVYamv+OgFYBESgF7gCONyHOLe/YztrRgOjSad8IrKPG/CqmbPmZcBy4Fof4qo6C6b6fIjLnTXjgfHACuC7zpoNwHpgpg+xt+rx5wFfHmLtO7VypUhXiUS6R8OrZjlYbgXuAublzZuBcfn7sfnrJgAf4nOkkdH5wBzgzHz/cTWHXggcQPpoh4js4+oGkbNmDGlk8wjpytlYZ8040unaLGfNZOBUYL0PcUveZzrwqA9xJWme6AnSVbRR1cf2Ifbmj3TsVZ+HEZHOaDQimgm8DTga+A/weP43L+93H3AE6ZI+sHNeaU6+eSkpyCaRrriJiPSr0WT19cD1de4+qsF+ffnrMmDZkKoTkX2CVlaLSHEKIhEpTkEkIsUpiESkOAWRiBSnIBKR4hREIlKcgkhEilMQiUhxCiIRKU5BJCLF6X/x6DL620qyL9KISESKUxCJSHEKIhEpTkEkIsUpiESkOAWRiBSnIBKR4hREIlKcgkhEilMQiUhxCiIRKU5BJCLFKYhEpDgFkYgUpyASkeL094jaSH9LSKQ1GhGJSHEKIhEpTkEkIsUpiESkOAWRiBSnIBKR4hREIlKcgkhEihtwQaOzZgJwMjALOMWH+CdnzSRgCTANeAA4zYe41llzJHAT8DRwvA/x/o5VLl2tlcWdoAWe+6qGQeSs6QE2AvcChwGVF8kVwHbgEGA+cAMwBTg3354MnOGsWQBcA5zuQ2zphSkiw99Ap2bPAK8EXM326cBSH+JG4Drg4DxyGgk8DDwCjAIuBe5UCIlIIw1HRD7EHcAmZ82rau6aCGzL32/NXycAi4AI9JJGTYf7EOfWHtdZMxoYDfS0WLeIDCPtnKzu8yEuB8aTTtkssNJZs8FZ87McPhXnkQLsoTa2LyJ7qVaDaDMwLn8/Nn/dBOBDfI40MjofmAOcme8/rmr/hcABwKQW2xeRYaTVIFoNzHLWTAZOBdb7ELcAOGumA4/6EFeS5omeIF1FG1XZ2YfY60N8kl2ndyKyD2s1iOblfe8DjgBmV+7wIa4mjYQgTVavII18VrZcpYgMa039YTQf4gZ2XbonXy07qsHj+/LXZcCyoZUoIsOdVlaLSHEKIhEpTkEkIsXpj+fLbvQ5MdnTFESZ/gcOkXJ0aiYixSmIRKQ4BZGIFKcgEpHiFEQiUpyCSESKUxCJSHEKIhEpTkEkIsUpiESkOAWRiBSnIBKR4hREIlKcgkhEilMQiUhxCiIRKU5BJCLFKYhEpDgFkYgUpyASkeIURCJSnIJIRIpTEIlIcQoiESlOQSQixSmIRKQ4BZGIFKcgEpHiFEQiUpyCSESK2690ASLdbsRlj/W1sl/fgvEj2l3LcNVyEDlrPgxcBrwI+CnwaeAi4HTg54DzIbb0BIqAAmBf0lIQOWteBFwPnA3cAawE5gAWeBtwAzDVWdMDvMGHeG17yhUZHIXZ3qHVOaLDgVHAYh/iX4FbgCOBZ4F/ANtII6WvA3HoZYrIcNbqqdlE4KmqU6+twARgTf5+FfAp4CIf4qbanZ01o4HRQE/e1OOsabEU2O+wbw96H2fN2OF4jFb21zE6f4w9qGfgh3SfEX19gx+5Oms+DlzpQ3xxvn0hcKwPcZqz5nnATOAo0qjpGOASH+J3qva/EPjykKsXkXpe7UPcULqIZrU6ItoMjHXWjPQh/hcYC1RGPi8F5gGfBa4EHBCA71TtvzDf1wM8BEwinc6V1k31dFMt0F31dFMt0F31VGp5rHAdg9JqEP0O2AGc4ay5FTiBXUFzAWniegewHdgC/N/Enw+xF+itOh3b5kN8ssVa2qab6ummWqC76ummWqC76hnKFEdJLU1W+xA3A7OBc4HfA79hVxCd7kP8LbAOeJQUWlfXOVQv8JX8tRt0Uz3dVAt0Vz3dVAt0Vz3dVEvTWpojEhFpJ33EQ0SK68hHPJw1rwQuJ10xO9OH+IO8fbfV2D7Ep2v2HQd8P+/7b+BsH+LKfKVthg/xrS3U83LgPiD6EGfnbXOA+cALgGXAPB/iczX7TQKWANOAB4DTfIhrnTVLgDE+xA8Pso4JwLXA+4HHgct9iN/M9xXpm2ba7lS7VcefD8wlTbTeTjrtH0M/fd/Pvrs9j8ArgL8Db/Ihrh9CXT8ErA9xhLPmjcBiYApwLzDbh/hgP/tcQlq68hxwjQ9xobPm3cAvgR4f4lMt1DES+DzwSeDPPsQZ9V6b/ezbsf5pp7aPiJw1B5BWW78AeA9wc95eWY29kLT6+p2kSe1a5wEHAlNJHX2js2b/IZb1LdILu1LjFOAq0sdR3gfMAvoLlStIE+6HAHeSVowPxVWkq4qHkH7Oq5w1B5Xsmybb7sRzUmn/GOBiUvi8FXgz6RdnwL4fxPPYSl0nAB+q2rQY+GOuZzPpNVW7z7Gkvjse+BhwkbNmWhvKuRI4ixQiH8/bivZPu3Xi1OxTpPVDJ/kQ/+BD3J6311uNXWs6EHyIfwcWAeNJnb2Ts+Z7zpqNeaTTkLNmJvAm0sdQKo4EHvAhrvAhrgN+1aCWpT7EjcB1wMF5VFM59ihnzXJnzT3OmjH97F/rbmBB/tluztsmUqhvsmba7kS7FdtJffILH+JfSBc5XsIAfZ8N+Dw6a6Y7a5511pzSbEF5IeK3yWHjrHk+KaQX53qW1LaTTQd+40P8nQ9xFSm4aus52VnT66x5b5O1TCSF0Jk+xFt8iJXL8sX6pxM6EUTvBP4DrHLWbHDWXJS311uNXWsieS2GD3Fr3lb9y/854CTSAsp/NSokn1JcTXpHeLa/NpqtJT+GmsddDbwR+GAzQ24f4pU+xDvyzbnAg8BdFOibmmMO1HYn2iUfb7UP8Rv5OAcBHwBuZOC+h4Gfx4NIgX+xD3HpIMq6jHSKeFtVO9TUs38/o8KB6nkXaWR1ag6qZkwjv7E7a/7prFmRT8tK9k/btWWOyFmzCDg531wH7E8aor4UuMlZs6bOrs1esqs87vXApcA5PsQ/NVHLPcAKH+IvnTVnNdlGs7UcDRwAnNjol6+mnhk+xDXOGkc65z/Kh7ijztqPtvfNIDTTdlvbdda8DFgOXOtDXDWEPql+zGLgQR/ixYOo412AIY343jGItpp5zE2k1+NgfulfmI9xJ+mzm4uBr7WpnkH3T6e0a0R0AWn+YCpphfVtPsQ1PsQfAX8FDqVqNXbep3o1drXNwDj4v8/qVB63P/BrYG7+ZH+jWo4lDV8/6qx5grTo8uQcDDvbaLaW/JjqWp4H/Bb4grNmVJ1aquuZCqx11nyQNPF7Ul5vVWlnT/RNf5ppuxPt7uSsGQ/cShodzqttk937fre66tT+B+BQZ82MQZRzPmnS/m+k4IA0GUxNPU/5EJ8ZZD13AzOcNYcNop5NwDM+xEU+xHtyTZXfp+p6Ko8dTD2t9E9HtCWIfIibfYgb8mdbfgYYZ82bnTVHA68ljZKqV2O/jhQMv4I011J1uNXAR5w1rwHOIJ3mVd5p7wWOy8e5qlEtpIWWB5JOnaaShtk/IQXDHcCBzpoTnDVTgXc3qGWWs2YycCqw3oe4Jd+3gvTO+VrgC032zTTgh8A5wBpnzbg8vN8jfVNHv23vgXYByHNrK4BHSKerY/Mpdd2+r6qt7vOYnUU6zfq+s+bFTZY0mzTKmwp8Jm97PbAWOM1Z8wrSpO/OdqrqWQ28w1nz9nyl7NCaek4kPf/L8rxTM+4ifQphjrPmVaTX3DrK9U9HdGKO6EbSZN6twFLgAh/i7QOsxr7ZWfPZ/P0lpHege0gT36f4EHfO7+TLyrNIT8KJ9YrwIe6oBEAOgadJ72Kb8yXLc3L7t5GuGlUmj9e5dDkb0rvzSNKl/yNy/dVtPEp6Mr/krHlLE31zIWkE8T3S5fvHgUV7um9qfoZ6bXe03SozSRPBR5MCrtIv/fa9s8aSRhYM8DxWfJW0wr+pv4nlQ/x31WtmU962gfRzTwHuJ82znJ3rmQf8OO++nDRveAvggS/6EO+uaWIOaZSysMl6tpKu3n2aNPm9hdQ3RfqnU7SyWkSK+x83P3Ac0z+J6AAAAABJRU5ErkJggg==);}
span.detail_graph-f13-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f13-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f13-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f13-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f14::before { content: url(data:image/png;base64,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);}
span.detail_graph-f14-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f14-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f14-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f14-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f15-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f15-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f15-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f15-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f16::before { content: url(data:image/png;base64,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);}
span.detail_graph-f16-0::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgP0lEQVR4nO3dfdRtd0HY+W9INJaaECNowUgdHXWEDsjqKGVZoasIg1bsGfWwPKAFlRetUhlBMrTUwbE1ZHVQpoCVN0sA2djdZfeIAr6hOINCx6EWQYYpDhCDmPCaxCqJ6J0/zgk83N7nyc1zn5v78vt81nrWuc85Z+/n98uP5H7ZZ+/9XHDs2LEAAEZ2lzM9AACAM00QAQDDE0QAwPAuOpM/fLNeXVDdq7r5TI4DADhSl1R/NM3LOXOi8hkNorYxdN0ZHgMAcPSuqN5/pgdxss50EN12ZOiKHCUCgPPBJW0PdpxTf6+f6SC6zc3TvNx0pgcBAJyazXp1podwKE6qBgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHgXncybNuvVv6nW07xcsFmv/kb10uo+1e9Wj5vm5Q8269Wjqp+q3lc9YpqX60/TmAEAjtTtHiHarFffVH3znqdeWv1edd/qQ9Xzd88/c/e+N1eP3qxXd9+sV8890tECAJwGBx4h2qxXl1YvaBs9P7BZrz6r+urqKdO8XLtZr15WvWr39ru0PTp0w26/L+pTsQQcwgVXf+TYmR7DsSsvv+BMjwHgdLu9j8yurn6t+tXqB6rP2z1/8+7xxuqum/XqrtVPVO+orq9eUb1nmpc3nGinm/Xq4uri6pJTGj0AwBHY9yOzzXr1t6tV9YMnsZ9j07y8tLq0enj1sOq6zXp17Wa9+ukTvP8ZbWPqujs8YgCAI3bQOUTPrD63+v+qV++ee/fu8bLd46XVn0zz8md7tntJ9aTqympT3W+zXj3guH1fVd2tuuLQIwcAOCIHBdHjqi+rvrL6R7vnvqz6neoJm/XqC6vHVr+xZ5vHVK+Z5uVt1bHqo9XHqwv37nial1umebmpT330BgBwxuwbRNO8/PE0L++d5uW9bU+Ubvfn7257yf07q3u0Pbfotm2uqZ6z+/a51Vuqj1RvPfqhAwAcjQuOHTtzF7HsrmK7sbrb7ogRsIerzIBzzbn6d7s7VQMAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMLyLzvQAgHPbBVd/5NiZHsOxKy+/4EyPATi3OUIEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwvH1/uetmvfqM6serb68uqF5TPaH6H6pX7Xnrh6d5uftmvXpU9VPV+6pHTPNy/WkbNQDAETroCNGjq8dUD63+VvV11ROre1Zvqj5n9/XFu/c/s/rm6s3Vozfr1d0369VzT8+wAQCOzr5HiKZ5uaa6pmqzXl1W3Vr9efWF1funefnYcZvcpe3RoRt2+31R9fwjHzEAwBHbN4hus1mv3lbdp/qNth+JvbJ60Ga9uq76YPVD07z8avUT1Tuq66tXVO+Z5uUN++zz4uri6pIjmAMAwCk5mZOqv6F6eHX/6ruqF1fPqh7W9uOxn92sV585zctLq0t3731Ydd1mvbp2s1799An2+Yzqxuq6U54BAMAp2jeINuvV/Tbr1cOmeblud6Tn16uHVO+qpmle3lk9r7q8+oI9m76kelJ1ZbWp7rdZrx5w3O6vqu5WXXFkMwEAOKSDjhDdv/q5zXr1wM16dd/qQdVbq5+vXrhZr+7V9sTrj1Tv323zmOo107y8rTpWfbT6eHXh3h1P83LLNC83VTcf5WQAAA7joCD6meqF1S9Uv9n2svsXVI+vvrR6d7Wq1tO83FqfPBH7Obvtn1u9pW0wvfXohw4AcDQOusrsL6un7b72+o9tjxbtt92x3ePV1dVHMEYAgNPKnaoBgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABjeRfu9sFmvPqP68erbqwuq11RPqO5evax6YPXu6gnTvPzOZr16cPXq6k+rR07z8s7TO3QAgKOxbxBVj64eUz20beT8evXE6muqW6v7Vk+vXl7dp3ra7vt7V9+zWa+urJ5XPXGal2OnawIAAKdq34/Mpnm5ZpqXy6d5eWv1x20j6M+rh1SvmObl2urF1Vds1qt77Pb1/uoD1YXVs6s3iSEA4Gx30BGiqjbr1dvaHgH6jeqnqhdUN+9evnH3eI/qJ6uluqV6TvVV07w8ZZ99XlxdXF1y6JEDAByRkzmp+huqh1f3r75rn/ccm+bltdXlbT9KW1ev36xX792sV7+wC6C9ntE2pq473LABAI7OvkG0Wa/ut1mvHjbNy3XTvLyh7TlED6k+VF22e9ulu8cbqqZ5+Yu2R4qeWT25+t7d699w3O6vqu5WXXEEcwAAOCUHHSG6f/Vzm/XqgZv16r7Vg6q3Vm+sHrtZr+5dPb56+zQvH67arFcPqa6f5uX1bc8j+ljbE7Iv3LvjaV5umeblpj710RsAwBlzUBD9TPXC6heq32x72f0Lqqfutvv96murx922wTQvb2x7ZKi2J1W/ru1RoNcf8bgBAI7MvidVT/Pyl20vpX/acS9d2/ZS/P22O7Z7fGX1yiMYIwDAaeVO1QDA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDu+igFzfr1dOrp1SXVL9WPa76+upVe9724Wle7r5Zrx5V/VT1vuoR07xcfzoGDABw1PY9QrRZrx5W/bO2EfTfVfevnl7ds3pT9Tm7ry/ebfLM6purN1eP3qxXd9+sV889XQMHADgqBx0hurW6cpqXX67arFdvrT6/+ozq/dO8fOy499+l7dGhG3b7fVH1/KMeMADAUds3iKZ5eWP1xqrNevXl1SOqR1bfXT1os15dV32w+qFpXn61+onqHdX11Suq90zz8oYT7XuzXl1cXdz2ozgAgDPqdk+q3qxX96xeW71oFzgvrp5VPaztx2M/u1mvPnOal5dWl1YP37123Wa9unazXv30CXb7jOrG6rojmQUAwCk4MIg269Xl1a9Uv109dff0u6ppmpd3Vs+rLq++YM9mL6meVF1Zbar7bdarBxy366uqu1VXnOoEAABO1UEnVX929brqA22vNLt0s15dVv189cLNenWv6tHVR6r37zZ7TPWaaV7eVh2rPlp9vLpw776nebllmpebqpuPcjIAAIdx0BGib6m+uvq6tucKfXT39fjqS6t3V6tqPc3LrVXTvFxTPWe3/XOrt7QNprce/dABAI7GQSdVX1Nds8/LDzpgu2O7x6urq09pdAAAdwJ3qgYAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHgXHfTiZr16evWU6pLq16rHVZ9dvax6YPXu6gnTvPzOZr16cPXq6k+rR07z8s7TNmoAgCO0bxBt1quHVf+s+sbqfdXrq6dXX1LdWt139/3Lq/tUT9t9f+/qezbr1ZXV86onTvNy7DTOAQDglBz0kdmt1ZXTvPzyNC/vqt5afX71kOoV07xcW724+orNenWP3b7eX32gurB6dvUmMQQAnO32PUI0zcsbqzdWbdarL68eUT2y+s7q5t3bbtw93qP6yWqpbqmeU33VNC9POdG+N+vVxdXFbT+KAwA4o273pOrNenXP6rXVi6Z5ecM+bzs2zctrq8vbfpS2rl6/Wa/eu1mvfmEXQHs9o21MXXf4oQMAHI0Dg2izXl1e/Ur129VTd09/qLps9+dLd483VE3z8hdtjxQ9s3py9b2717/huF1fVd2tuuLwQwcAOBr7BtFmvfrs6nVtzwl6SnXpZr26rO3HaI/drFf3rh5fvX2alw/vtnlIdf00L69vex7Rx9pedXbh3n1P83LLNC839amP3gAAzpiDjhB9S/XV1ddVH6w+uvt66m6736++tu2l+NUnzzt68u7bZ7cNqivaXqEGAHBWOuik6muqa/Z5+aEHbHds9/jK6pWnNDoAgDuBO1UDAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADO+i23vDZr26R/Xo6rHVd0zz8o7NerWpXrXnbR+e5uXum/XqUdVPVe+rHjHNy/WnY9AAAEfpwCNEm/Xqkura6tuqB1QX7F66Z/Wm6nN2X1+8e/6Z1TdXb64evVmv7r5Zr5579MMGADg6t3eE6M+qv17dtXrPnufvWb1/mpePHff+u7Q9OnTDbt8vqp5/JCMFADhNDgyiaV4+Ud2wWa++6LiX7lU9aLNeXVd9sPqhaV5+tfqJ6h3V9dUrqvdM8/KG4/e7Wa8uri6uLjnlGQAAnKLDnlT94upZ1cPafjz2s5v16jOneXlpdWn18N1r123Wq2s369VPH7f9M6obq+sO+fMBAI7MYYPoXdU0zcs7q+dVl1dfsOf1l1RPqq6sNtX9NuvVA/a8flV1t+qKQ/58AIAjc9gg+vnqhZv16l5tr0D7SPX+3WuPqV4zzcvbqmPVR6uPVxfetvE0L7dM83JTdfNhBw4AcFQOG0SPr760ene1qtbTvNxaNc3LNdVzdu97bvWWtsH01lMZKADA6XK79yGqmublvX3qkvumefmP1YMOeP+x3ePV1dWnNkQAgNPLnaoBgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABjeRbf3hs16dY/q0dVjq++Y5uUdm/Xqiupl1QOrd1dPmObldzbr1YOrV1d/Wj1ympd3nraRAwAckQODaLNeXVJdW/1u9YDqgt1Lz6lure5bPb16eXWf6mm77+9dfc9mvbqyel71xGlejp2G8QMAnLLb+8jsz6q/Xm2Oe/4h1Sumebm2enH1FbsjSXep3l99oLqwenb1JjEEAJzNDjxCNM3LJ6obNuvVFx330udVN+/+fOPu8R7VT1ZLdUvbo0hfNc3LU47f72a9uri6uLrkkOMGADgyR3lS9bFpXl5bXd72o7R19frNevXezXr1C7sIus0z2obUdUf48wEADuWwQfSh6rLdny/dPd5QNc3LX7Q9UvTM6snV9+5e/4Y9219V3a264pA/HwDgyBw2iN5YPXazXt27enz19mlePly1Wa8eUl0/zcvr255H9LG2V51deNvG07zcMs3LTX3qYzcAgDPmsEH01N22v199bfW4216Y5uWNbY8M1fak6te1PRL0+kOPEgDgNLrd+xBVTfPy3j51yX27q8seesD7j+0eX1m98tSGCABwerlTNQAwPEEEAAxPEAEAwxNEAMDwTuqkajjfXHD1R874r5M5duXlF9z+uzgq1hw4iCNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAzvosNuuFmvfql6+J6nfrz6gurvVS+a5uWppzg2AIA7xaGDqLpn9X3Vq3bf36f636qvrn5ps1798+q/r26a5uUXT2mUAACn0akG0XumeflY1Wa9urW6uXpf9fHqi6t/VP3dUxwjAMBpdagg2qxXn1l9bvUvNuvVS6rfrp5UfaK6qXpl9ezq+6d5+bMTbH9xdXF1ySHHDQBwZA57UvWx6vurH6i+ubpf9axpXh5e/ZXqXdVvVc/arFfv3axXq+O2f0Z1Y3XdIX8+AMCROWwQXVgt07z82jQvb6mWtlFU9d+2Pdn6bbvv/2H1I8dtf1V1t+qKQ/58AIAjc9hziP7r6vd2R35+r+3J07+5e+1Z1XdVf7PtuUQfbhtQnzTNyy3VLZv16pA/HgDg6BzqCNE0L29ve8L0C6rfrd5d/fDu5b8/zct7qtdVf6365epfnPJIAQBOk0NfZTbNy/Oq553g+WO7x/9cfe3hhwYAcOdwp2oAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4F53pAQDAUbvg6o8cO9NjqDp25eUXnOkxcHIcIQIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOFddKYHAMDWBVd/5NiZHkPVsSsvv+BMjwHubI4QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMNzp2oA7pCz4Y7a7qbNUTt0EG3Wq2+trq4+t3pN9aTqR6snVr9YbaZ5OeP/0gAA3J5DfWS2Wa8+t7qmuqr66uprqidX6933X1J95Wa9evBmvXriEY0VAOC0OOwRoq+qLqxeOs3Lsc169b9XD64+Xr2vurntkaMfq77xKAbKueFsOJReDqcDcMccNog+r/qTPR+J3Vjdo/o/d39+Q/Xd1Y9O83LD8Rtv1quLq4urS3ZPXbJZrw45lFP3bx/wghvP2A/f+db/8H13O9NjOAoXPeAFZ3oIVW3Wq0sPev1sGOftjbHOjXGeC2Osc2OcZ8MY69wY57kwxjq5/22ehy65/becfS44duyO/x/6zXr1D6ofn+bl7rvvn1V9/TQvD9ysV59RfUv10LZHkR5W/dg0L/9qz/bPqv7nUx49AHC2+q+meXnvmR7EyTrsEaIPVZdu1qu7TPPyl9Wl1W1Hgv5a9dTqB6sfrzbVXP2rPdtftXvtkuq66oq2H7Odb8zv3GZ+567zeW5lfue6Ueb3kTM9kDvisEH076tPVN+zWa9+pfqmPhU8P9z2BOtPVLdWH64+7XyOaV5uqW7Z8zHZzdO83HTIsZy1zO/cZn7nrvN5bmV+57qB5ndOOdRVZtO8fKh6XPW06v+qfqtPBdETp3l5c/XW6vq28fQv99nVLdWP7B7PR+Z3bjO/c9f5PLcyv3Od+Z2FDnUOEQDA+cSv7gAAhnekv7pjdzn986pvrW6qnjXNy8tO8L5/UD2r7QnYb66+c5qX923Wq8uql7S9Mu2Pqx+Y5uX1u22eXD29+ivVK6unTvPyF0c5/ttzB+Z3adubVD62unqal1/cPf+gth8v7nXJNC9/slmvfqztrQr+onreNC9XnbaJ7OMI5ndZ58f6PaR6QXXv6v+oHjfNywfPgfX7L+4eP83Ln+55/bLu4Pps1qu/Ub20uk/1u23/WfzBnTWnvU5xfu+qvmzP7p48zcvz91vrO2E6/4WTmN8F1UPa/nvXNC/fuee182H9DprfWb1+JzG3L6leXD2o+kD1j6d5efXutfNh7Q6a31m9dnsd9RGi76q+vu2dq/9p9aLNevWFe9+wWa++vPrXbYPoK6q/2vaqs6pnVF9cfWX1supnNuvVXTfr1X2q57b9tSAPb/svzLce8dhPxu3Ob+dd1XdWX9unn1B+z+oPq8+57Wv3l+nXtz0R/ZHVt1c/ulmvHnjaZrG/U53fOb9+u9tGvLL6t9X92v4H4H/ZvXzWrt8Bd4/f6zDr89Lq96r7tr269PmncRr7OpX57V67Z9v1uW3tXnQ7a32nOsn5PbvteP9Oe+7zch6t3wnnt3PWrt9Jzu3lbe/R96Vt1+SazXp1yXm0diec3+61s3btjnfUQfSQ6rXTvLxzmpdXVP+5+lvHvefi6p9P8/LyaV7e1/Zmjp+/Z/t5mpf3VD9ZXd72fwwPrt49zcvrpnl5a/Ubu+fubCczv6q/Oc3L3z7B8/esPjDNy8du+9qz39+a5uXfT/Pyhrb/EpyL8zsf1u9L2l4K+8Ld/TOmPjXWs3n99t49/v+tbrt7/F53aH0269Vntf0P4Eunebm2bWSciXWrU5jfZr36q23/gv2DPWt3awev9Z3tZOb3E9UXVm887vnzZf1OOL9zYP1OZm5vqH54mpfrqp+vPrO6rPNn7U44v3Ng7T7NUf+2+89re++B29x2B+tPmublbdXbqjbr1T2qR1f/eM/2N+/ed+Pu0r177H1+v/3eSW53flXTvPzRPtvfq/qizXr1nra/5uRHp3l5VefP/M6H9fu83ePNJ3jP2bx++909/vj33JH1OdE/i7tu1qu77j1cfic5lfnda/f6tFmv7l79UvV9HbzWd7bbnd80L39cJ7yk+bxYvwPmd7av38nM7Z/u+fYp1W9O8/KHm/XqfFm7/eb3pbe95Sxdu09zykG0Wa9+sm3U1PZS++Od8DK2zXr12dUvVr/dtn73s99lcHfK5XGHnd8+fq56f/Xrbc/B+deb9erX93nvuTi/Ezkf1u+295x163c77sjc7si2Z8Pc6uTnd0Pb/0i/pe15Gv+m+v22tww5zD7vLKcylvNl/ercXL/9/t67svr71UEfqZ+za3eC+Z1Ta3cUH5n9cNvP7L+y7eecl+15be8drD9pdzjw56s/qR69pzw/uf2e3/9yw8nu9zS5w/M7wB9WL5/m5Z3V/9r2sOJ/cwT7PRVHOb/zYf0+tHu87ATvORvX7zafvHv8AWO4o+tzon8WfzLNy58d4bhP1qnM7xPVq6d5efM0L7/eNmjv18FrfWc7mfkdtO1le74/V9dvP2f7+p3U3Dbr1ZPafhry9XtOjj5v1m6f+Z3ta/dpTvkI0bS9SeOHqjbr1Rurf7I7O/5+bU+Y/q3daxfuzpy/qPrZtp/vf2P1WbtAuqntZ8eP2qxXU9vfh/bB6h1tb+70/M169U3VtW1PunvCqY79dMzvdnb3gupzNuvVd1Z/r+2dvN9V3bX6/t1VTBfv9n0uzu98WL//VP1R9Q8369ULq29r+7l+nYXrt8cJ7x5/3LrdofWZ5uVPN+vV71RP2KxX72t7wudv3Ilz2utU5vfQat6sV1/X9tD817T91UEHrfWd7WTmt5/f7PxYv/38nc7u9bvduW3Wq29re/L0o6r/tNleEfnxzpO1O2B+f6eze+0+zVGfVP2S6rVtL6H7sbYL+4HNenXv6gO7K3q+pu0/0Pu3/X/cH9193Xu3zbur/9D2EubvmObl49O8vL36H9veDftX257x/u+OeOwn42Tmd5CnVn9Z/T/VD7Wd3x/t9vkv256sNlX/ZJqX//s0zeEgpzq/c379pnn58+oxbQ/7vr3t7+L5kd32Z+36TfvfPf7fbdarH9y97TDr891tL/t9Z9vP+H/gzpjP8U5xfr/Y9oTdpe1FHK9re2uEg9b6TnWS89tv2/Nl/fbb9qxev5Oc21XVbZ+M3PZ33v90Hq3dfvM7q9fueO5UDQAM7/8Hb/5QtBgbYssAAAAASUVORK5CYII=);}
span.detail_graph-f16-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f16-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f16-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f17::before { content: url(data:image/png;base64,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);}
span.detail_graph-f17-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f17-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f17-15::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAfSklEQVR4nO3dfbCld0Hg+W9MNI5rQogG192Y0XFnpiAuam0hYynJVLG4Solz1vGwc3CcoBJeREYUihgno265a0i5qDtAVkXcAJl6WJ8qfUYZyLzIGmfxbVhkedWduEIMi8kEzIuCYcDeP85puPT2venpvt1N5/f5VHWdPud5ub/z1O1zv/283fOOHDkSAMDIPutsDwAA4GwTRADA8AQRADC8C87mF9+sV+dV/1n14NkcBwBwqC6q/t9pXs6ZE5XPahC1jaG7zvIYAIDDd3n1gbM9iBN1toPo6J6hy7OXCAAeCS5qu7PjnPq5fraD6KgHp3l54GwPAgA4NZv16mwP4aQ4qRoAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHgXHDRxs149q/qR6tHVm6t/UH1+dUv1xOqO6tppXt66Wa+uql5ffaR62jQv7z2N4wYAODT7BtFmvfqC6mer51f/svoX1Yurv159rLqyekn12upxu2kvqa6onrtZr66rXl49e5qXI6fxPQDASTnvpg8f+s+nI9ddet5hr5PT76BDZudVn6juqj5Q/Xn18erq6nXTvNxZvap67Ga9umy3rg9UH6zOr15avUUMAQCf6fYNomle7q2ur361eqD6nLaR85jqwd1s9+8eL6turpbqpuqPq8unebnleOverFcXbtari6uLTvkdAACcon2DaLNe/edtzx96fvV11WdX37/P7EemeXljdWnbQ2nr6rbNevW+zXr1hs16deEx81/fNqbuOsXxAwCcsoMOmX1ddf40LzdP8/LW6peqb6rurS7ZzXPx7vGeqmlePtF2T9EN1Quq5+2mP/WYdd9YPaq6/BTHDwBwyg4Kot+v/spmvXr6Zr36suop1Xuq26trNuvVFdWzqndN8/Khqs16dXV19zQvt7U9j+i+tlednb93xdO8PDTNywN96tAbAMBZc9A5RO+ovrd6WfWOtucF3VC9aLfce6onVc/cs8ztbfcM1fZ8oze13Qt02+EPHQDgcBx4H6JpXm5uewjsWE8+YJkju8dbq1tPaXQAAGeAO1UDAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADC8C/absFmvbqmuOeblP6z+dnVL9cTqjuraaV7eulmvrqpeX32keto0L+89DeMFADh0B+0h+p7q0Xv+/Hr1S9XLqo9VV1ZvqV67m//F1UuqX6ieu1mvPnezXr1qs16dd3qGDgBwOPYNomlePjLNy33TvNxXfUn19dUrqqur103zcmf1quqxm/Xqst26PlB9sDq/emn1lmlejpzetwAAcGpO9ByiF1e/vIugx1QP7l6/f/d4WXVztVQ3VX9cXT7Nyy3HW9lmvbpws15dXF10csMGADg8DxtEm/Xq8mpT/c8HzHZkmpc3Vpe2PZS2rm7brFfv26xXb9isVxceM//1bWPqrpMbNgDA4TmRPUTfV719mpe37J7fW12y+/vFu8d7qqZ5+UTbPUU3VC+onreb/tRj1nlj9ajq8pMaNQDAITowiHaHtZ7dp+8dur26ZrNeXVE9q3rXNC8f2s1/dXX3NC+3tT2P6L62V52dv3e907w8NM3LA33q0BsAwFnzcHuInlP9efWLe1570W6591RPqp55dMI0L7e33TNU25Oq39R2L9BthzNcAIDDd96RI2fvIrDdHqj7q0ft9hgBwBlz3k0fPvQfgkeuu3To282cqz/b3akaABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHgXHDRxs159VvWD1XdVvz/Nyzdv1qvLq1uqJ1Z3VNdO8/LWzXp1VfX66iPV06Z5ee9pHTkAwCE5MIiqn6zW1fdU/2b32suqj1VXVi+pXls9rnrx7vkV1XM369V11curZ0/zcuTwhw4AcDj2PWS2Wa8eUz2/et40L/9smpcP7yZdXb1umpc7q1dVj92sV5ft1vWB6oPV+dVLq7eIIQDgM91Be4ie2DZs/rvNevXK6l3VtdVjqgd389y/e7ysurlaqofa7kV6wjQvLzzeijfr1YXVhdVFpzZ8AIBTd9BJ1Y+ujlRvqb6l+qLqJ/aZ98g0L2+sLm17KG1d3bZZr963Wa/esAugva5vG1N3ncrgAQAOw0FBdE/10Wlebp7m5ffanjD9+Ore6pLdPBfvmbdpXj7Rdk/RDdULquftpj/1mHXfWD2quvwUxw8AcMoOCqLfqh7arFcv2KxXX1qtqrdVt1fXbNarK6pnVe+a5uVDVZv16urq7mlebmt7uO2+tlednb93xdO8PDTNywN96tAbAMBZs28QTfNyf/Wt1XOqd1Yfql60+/NZ1XuqJ1XP3LPM7W33DNX2pOo3td0LdNvhDx0A4HAceNn9LnC+4jiTnnzAMkd2j7dWt57S6AAAzgB3qgYAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHgXHDRxs179i+ob9rz0suqW6tXV46q3V8+c5uUPN+vV06ufqd5ffeM0L3efjgEDABy2h9tD9MXV86tH7/7c0DaG3lldWd1bvWI37w3Vt1a/XT1js1594Wa9+unTMGYAgEN1IkH0R9O83DfNy327176mevU0L3e23Vt01Z51vb+6p+2ep5+rfuWwBwwAcNj2PWS2Wa8+p/qC6ic269XPV79VvWg3+cHd4/3V523Wq8+rfqp6d3V39bq2IfXmfdZ9YXVhddFhvAkAgFNx0B6iI9X3Vt/X9lDY46sf3W/eaV5eXV3c9pyjp1R3bdarOzfr1S8cZ/7r28bUXSc5bgCAQ3NQEJ1fLdO8/No0L79TLdVX7KZdsnu8uPqzaV4+ume5n6+eU11XbarHb9arrz5m3TdWj6ouP6XRAwAcgoOuMvsvqndu1qtV25Oo/5vqN3bTrt2sV++vrql+fc8y31796jQv79isV0eqP63+om1cfdI0Lw9VD23Wq0N4CwAAp2bfPUTTvLyr+ofVK9teXn9H9cPVd7e95P691WVtD6kdXeY1bS/Nr/rp6neqD1dvO/SRAwAckgPvQzTNy8urlx/z8p9WTzhgmSO7x5uqm051gAAAp5s7VQMAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMLwLTmSmzXr1i9V6mpfzNuvVV1Svrh5Xvb165jQvf7hZr55e/Uz1/uobp3m5+zSNGQDgUD3sHqLNevUt1bfueenV1TurK6t7q1fsXr9hN99vV8/YrFdfuFmvfvpQRwsAcBocGESb9eri6pXtomezXn1u9TXVq6d5ubO6pbpqz7reX93Tds/Tz1W/clpGDQBwiB7ukNlN1a9V/7r6vuoxu9cf3D3eX33eZr36vOqnqndXd1evq/5ompc3H2+lm/XqwurC6qJTGj0AwCHYdw/RZr36+mpV/cAJrOfINC+vri6uvqF6SnXXZr26c7Ne/cJx5r++bUzd9R89YgCAQ3bQIbMbqi+o/p/q9bvX7tg9XrJ7vLj6s2lePrpnuZ+vnlNdV22qx2/Wq68+Zt03Vo+qLj/pkQMAHJKDguiZ1d+ovqr6h7vX/kb11urazXr1JdU11a/vWebbq1+d5uUd1ZHqT6u/qM7fu+JpXh6a5uWBPnXoDQDgrNk3iKZ5+ZNpXt43zcv72p4o3e7v3932kvv3Vpe1Pbfo6DKvqV62e/rT1e9UH67edvhDBwA4HOcdOXLkrH3x3VVs91eP2u0xAoAz5rybPnzoPwSPXHfpeYe9znPJufqz3Z2qAYDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIZ3wX4TNuvVZ1c/Wf396rzqV6trqy+sbqmeWN1RXTvNy1s369VV1eurj1RPm+blvad36AAAh2PfIKqeUX179eS2kfO/V8+uvq76WHVl9ZLqtdXjqhfvnl9RPXezXl1Xvbx69jQvR07XGwAAOFX7HjKb5uU107xcOs3L26o/aRtB/6G6unrdNC93Vq+qHrtZry7bresD1Qer86uXVm8RQwDAZ7qD9hBVtVmv3tF2D9CvVz9TvbJ6cDf5/t3jZdXN1VI9VL2sesI0Ly/cZ50XVhdWF530yAEADsmJnFT91Oobqq+svmufeY5M8/LG6tK2h9LW1W2b9ep9m/XqDbsA2uv6tjF118kNGwDg8OwbRJv16vGb9eop07zcNc3Lm9ueQ3R1dW91yW62i3eP91RN8/KJtnuKbqheUD1vN/2px6z+xupR1eWH8B4AAE7JQXuIvrL6pc169cTNenVl9bXV26rbq2s269UV1bOqd03z8qGqzXp1dXX3NC+3tT2P6L62J2Sfv3fF07w8NM3LA33q0BsAwFlzUBD90+pnqzdUv9H2svtXVi/aLfee6knVM48uMM3L7W33DNX2pOo3td0LdNshjxsA4NDse1L1NC9/2fZS+hcfM+nOtpfi77fckd3jrdWthzBGAIDTyp2qAYDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAY3gUHTdysVy+pXlhdVP1a9czq86tbqidWd1TXTvPy1s16dVX1+uoj1dOmeXnvaRs1AMAh2jeINuvVU6r/ofrm6v3VbdVLqi+vPlZduXv+2upx1Yt3z6+onrtZr66rXl49e5qXI6fxPQAAnJKDDpl9rLpumpd/Oc3LH1Rvq76ourp63TQvd1avqh67Wa8u263rA9UHq/Orl1ZvEUMAwGe6ffcQTfNye3V71Wa9+pvVN1ZPq76zenA32/27x8uqm6uleqh6WfWEaV5eeLx1b9arC6sL2x6KAwA4qx72pOrNevXF1Rurn5vm5c37zHZkmpc3Vpe2PZS2rm7brFfv26xXb9gF0F7Xt42pu05+6AAAh+PAINqsV5dW/6r6repFu5fvrS7Z/f3i3eM9VdO8fKLtnqIbqhdUz9tNf+oxq76xelR1+ckPHQDgcOwbRJv16vOrN7U9J+iF1cWb9eqStofRrtmsV1dUz6reNc3Lh3bLXF3dPc3LbW3PI7qv7VVn5+9d9zQvD03z8kCfOvQGAHDWHLSH6O9WX1P919W/r/509+dFu+XeUz2p7aX41SfPO3rB7ulL2wbV5W2vUAMA+Ix00EnVr6les8/kJx+w3JHd463Vrac0OgCAM+DAGzMCAIfjvJs+fOi3oTly3aXnHfY6R+VXdwAAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMLwLHm6GzXp1WfWM6prqO6Z5efdmvbq8uqV6YnVHde00L2/drFdXVa+vPlI9bZqX9562kQMAHJIDg2izXl1U3Vm9vfrq6rzdpJdVH6uurF5SvbZ6XPXi3fMrqudu1qvrqpdXz57m5chpGD8AwCl7uENmH63+arU55vWrq9dN83Jn9arqsbs9SZ9VfaD6YHV+9dLqLWIIAPhMduAeomlePl7ds1mvvvSYSY+pHtz9/f7d42XVzdVSPdR2L9ITpnl54bHr3axXF1YXVhed5LgBAA7NYZ5UfWSalzdWl7Y9lLaubtusV+/brFdv2EXQUde3Dam7DvHrAwCclJMNonurS3Z/v3j3eE/VNC+faLun6IbqBdXzdtOfumf5G6tHVZef5NcHADg0JxtEt1fXbNarK6pnVe+a5uVDVZv16urq7mlebmt7HtF9ba86O//owtO8PDTNywN96rAbAMBZc7JB9KLdsu+pnlQ98+iEaV5ub7tnqLYnVb+p7Z6g2056lAAAp9HD3oeoapqX9/WpS+7bXV325APmP7J7vLW69dSGCABwerlTNQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAw7vgZBfcrFffVt1UfUH1q9Vzqh+rnl3982ozzcuRwxgkAMDpdFJ7iDbr1RdUr6lurL6m+rrqBdV69/zLq6/arFdXbdarZx/SWAEATouT3UP0hOr86tXTvBzZrFf/rLqq+ovq/dWDbfcc/Xj1zYcxUADGcd5NHz70IwxHrrv0vMNeJ48cJxtEj6n+bM8hsfury6r/Y/f3N1ffXf3YNC/3HLvwZr26sLqwumj30kWb9eokhwLAI80FX/3KQ1/nZr26+Gx9nTP9tc6yix5+ls88J30O0XEcmebluzbr1XOqv1s9ufpvN+vVzdWPT/Pyv+yZ9/rqR/Y8v+sQxwHAOe7bfu/5p2O195+tr3Omv9ZniEurB872IE7UyQbRvdXFm/Xqs6Z5+cvq4uronqD/tHpR9QPVT1abaq72BtGNu2kXtY2hy9seZuPT2T4Hs30OZvvsz7Y5mO1zMNvnYEe3z4fP9kD+Y5xsEP1u9fHquZv16l9V39KngueH255g/fHqY9WHqk87bjvNy0PVQ3sOkz04zcs5U5Fniu1zMNvnYLbP/mybg9k+B7N9DnaungJzUleZTfNyb/XM6sXVv61+s08F0bOnefnt6m3V3W3j6Z/ss6qHqv9+98j/n+1zMNvnYLbP/mybg9k+B7N9DnZObp/zjhxxqyAAYGzuVA0ADO8wrzL7NLtL619efVvbs8x/dJqXW44z3z+ofrTtydi/XX3nNC/v36xXl1Q/Xz2l+pPq+6Z5ue10jfdMO96dvqd5+cie6Ze0z/vfrFcvqF5S/ZXq1upF07x84oy+gdPsBLbPl1evqr62+mD1Q9O8vH43bfjts2e+r6zeWv2P07z86O61H297W4xPVC+f5uXGMzXuM+VEts9mvfovd/N8ffWUaV5+Z/f68N8/m/Xqi6rXtt0297T99zXtpo2wfS6rnlFdU33HNC/vPmb6JY39+fxw2+ec/Hw+nXuIvqv6prZ3sf7H1c9t1qsv2TvDZr36m9X/2jaIHlv9J22vQKvtpfl/rfqq6pbqn27Wq887jeM9Yw640/dex33/m/XqcdVPt/0VKd/Q9hvy287EuM+UE9w+r217uelfr15dvWazXl1k+3zafOe3/dA+b89r37Sb92nV369+bLNePfEMDPuMOZHts1mvvrT6N9UHdvO8dfe675+t66svrq6sXtH239conz8XVXdWf6/66o65KGhn5M/nE9k+5+Tn8+kMoqurN07z8t5pXl5X/Xn1t46Z58K2/3N97TQv7297Y8cv2rP8PM3LH1U3t72fwZWncbxn0t47ff/f1dE7fe+13/u/qrpjmpc3TfPyturXj7Psue5Ets+bqx+e5uWu6leqz6kuyfbZ64XVR6v/a89rV1e/Oc3L707z8ubqnfssey47ke3zA9UdbS8C+f09/0P1/bP1l9WftQ3GD1T/oe0PvhG2z0erv9r2ljH7Gfnz+US2zzn5+Xw6g+gxffr9GY7ezfqTpnl5xzQvP1yftgvu1mOXn+bl6I2nPm35c9h+d/o+dp7jvf+H3a6PAA+7faZ5+cfTvLxz9/SF1W9M8/LH2T5VbdarL6t+qLq2OnLMssNvn7Z7RT5SvX2zXt2xWa+ev2dZ22d7hdCXtI2iqfqeaV7+vAG2zzQvHz/eb1g4xrCfzyeyfc7Vz+dDPYdod1fqZ+yevu04sxz3krbNevX51T+vfqvt7sf9PJIviTuR97bfPI/k7XLUft8711V/pzrosM+I2+dnq5+a5uUPTuCeICNun0e3/d2Lz2r7vfPyzXr15hNc9pHo2Pf4I23PHXpa299H+ROb9Wo5wWVHNfLn83Gda5/Ph72H6IfbHlP9qrZ3s75kz7S9d7P+pM169bltd6n9WfWMPf9r+eTye35Xy8NV+7nik3f63j0/3rbZ7/2f0HY9x53I9mn3a2J+qPqmaV7+cM+yl+yZbbjts1mv/lbbkz1fslmv7mv77/EHN+vVD2b7HHVPtUzz8m+neXlF2zj6imyfo76xev00L2+vXtb2f/H/VWNsnxMx8ufzCTkXP58PdQ/R7oaN91Zt1qvbq3+0Wa++onp82xOmf3M37fxpXj6xWa8uqP63tsdfv7n63F0gPVDdXj19s15NbX832r+v3t0jw3Hv9H10u+zm2e/9P1S9YrNefUvbE9v+dtvDIo8kD7t9NuvV32t7ct7Tq3+3u+rjL6rfyPZ5e/Vle+b/lbbH9H+m7aGi792sV1/b9hy+xzfe9ql6Q/Udu70eX9P2HId3VJ+d75+q91RP26xXv9j25NePV/+u7Q+vR/r2OS6fzwd7JHw+n85ziH6+emPbKzl+vLp2mpcPbtarK6oP7q44+7q2/xi/svrj6k93f67YLXNH9XttLxH+jmle/uI0jveMOeBO37+8Wa9+YDfbcd//NC/vqr5/N/+/bnu1yC+f0Tdwmp3g9rmxOrp38ej3zQ/aPqsf2H2fvO/on7a/Que+aV7ua/tv8p+0PZF2qv7RNC//55l/F6fPCX7//E9tD9H/btt/a8+a5uUPfP98cvt8f9uTZ9/d9n/53znNyx+PsH0O4PP5YOf857M7VQMAw/v/ALDJQWUrkSHYAAAAAElFTkSuQmCC);}
span.detail_graph-f17-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f18::before { content: url(data:image/png;base64,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);}
span.detail_graph-f18-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f18-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f18-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f18-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f19::before { content: url(data:image/png;base64,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);}
span.detail_graph-f19-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f19-5::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAafUlEQVR4nO3df7BndX3f8dcKEWNlQSzYNEhNbHQQS3VGJR0jzNSYqlXn1Hi0x6aCyg8pEolYCBNM0jEN0lRrq9D4gxSFyWE80/QYKVJ/TYhRU0M0gwS0RYMEohBAfhgIjHj7xzlbrrj3Luze3e/37vvxmNn53vv9tZ/Pnu/3u897ft0tKysrAQCo7FGLHgAAwKIJIgCgPEEEAJS37yL/8q5ttiT5+0nuXuQ4AIANtX+Sv+qHcdPsqLzQIMoUQzcueAwAwMY7NMlNix7Ew7XoINq2ZujQWEsEAHuD/TOt7NhU/68vOoi2ubsfxrsWPQgAYNd0bbPoIewUO1UDAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUN6+ix5AFVvOvX1l0WNYpJUzD9qy6DEAwFqsIQIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOXtu96NXdscn+TXkjw+yWeSvDbJ45JcmOSoJNclOaEfxiu7tjk6ySVJ7knysn4Yr92N4wYA2DBrBlHXNk9I8r4kpyT5RJL/leStSX4qyf1JjkhyRpIPJ3n6fNsZSQ5L8saubc5M8p4kJ/bDuLIb5wAAsEvW22S2JckDSW5MclOSv0nyvSTHJLmoH8YbknwgyeFd2xw8P9dNSb6VZJ8k70jyOTEEACy7NYOoH8Zbk5yV5GNJ7kry6EyRc0iSu+e73TlfHpzk/CRjknOT/GWSQ/thvHB7z921zX5d22xNsv8uzwAAYBetGURd2/x4pv2HTknyvCQ/kuSX1rj7Sj+MlyU5KNOmtDbJ5V3bXN+1zaVd2+z3kPuflSmmbtzF8QMA7LL1Npk9L8k+/TCe3w/jlUl+L8mLk9ya5MD5Plvny1uSpB/GBzKtKTo7yalJTp5vf8lDnvucJAckOXQXxw8AsMvWC6KvJvnRrm1e1bXNTyR5YZJrklyR5NiubQ5LcnySq/thvC1JurY5JsnN/TBenmk/ojsyHXW2z+on7ofxvn4Y78qDm94AABZmvX2IrkrypiTvTHJVpv2Czk5y+vy4a5I8P8lxqx5zRaY1Q8m0v9HHM60Funzjhw4AsDHWPQ9RP4znZ9oE9lAvWOcxK/PlxUku3qXRAQDsAc5UDQCUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKG/f9W7s2uZRSX45yeuTfLUfxpd2bXNokguTHJXkuiQn9MN4Zdc2Rye5JMk9SV7WD+O1u3XkAAAbZN0gSvKuJG2Sf5Pks/N170xyf5IjkpyR5MNJnp7krfP3hyV5Y9c2ZyZ5T5IT+2Fc2fihAwBsjDU3mXVtc0iSU5Kc3A/jR/thvH2+6ZgkF/XDeEOSDyQ5vGubg+fnuinJt5Lsk+QdST4nhgCAZbfeGqKjMoXNq7u2OS/J1UlOSHJIkrvn+9w5Xx6c5PwkY5L7Mq1Fek4/jKdt74m7ttkvyX5J9t+14QMA7Lr1dqp+fJKVJJ9L8vIkT0zyW2vcd6UfxsuSHJRpU1qb5PKuba7v2ubSOYBWOytTTN24K4MHANgI6wXRLUnu7Yfx/H4Yv5xph+kjk9ya5MD5PltX3Tf9MD6QaU3R2UlOTXLyfPtLHvLc5yQ5IMmhuzh+AIBdtl4QfSHJfV3bnNq1zZOTNEm+lOSKJMd2bXNYkuOTXN0P421J0rXNMUlu7ofx8kyb2+7IdNTZPqufuB/G+/phvCsPbnoDAFiYNYOoH8Y7k7wiyUlJvpLktiSnz38eleSaJM9Pctyqx1yRac1QMu1U/fFMa4Eu3/ihAwBsjHUPu58D5xnbuekF6zxmZb68OMnFuzQ6AIA9wJmqAYDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5e37cO7Utc1HkrT9MG7p2uYZSS5I8vQkf5bkuH4Yv961zauS/HaSbyZ5UT+MN++mMQMAbKgdriHq2ublSV6x6qoLknwlyRFJbk3y3vn6s+f7/XGS13Rt83e7tnn3ho4WAGA3WDeIurbZmuS8zNHTtc1jkjw3yQX9MN6Q5MIkR696rm8muSXTmqf3J/n93TJqAIANtKNNZucm+XSSTyV5c5JD5uvvni/vTPLYrm0em+Q/JfnzJDcnuSjJX/TD+JntPWnXNvsl2S/J/rs0egCADbDmGqKubX4mSZPkLQ/jeVb6YbwgydYkP5fkhUlu7Nrmhq5tfmc79z8rU0zd+IhHDACwwdbbZHZ2kick+UaSS+brrpsvD5wvtyb5bj+M96563AeTnJTkzCRdkiO7tnnWQ577nCQHJDl0p0cOALBB1gui45I8Nckzk/zifN1Tk1yZ5ISubZ6U5Ngkf7DqMf8qycf6YbwqyUqS7yT52yT7rH7ifhjv64fxrjy46Q0AYGHWDKJ+GL/dD+P1/TBen2lH6cxfvyHTIffXJjk4075F2x7zoSTvnL99d5L/neT2JF/a+KEDAGyMLSsrKwv7y+ej2O5McsC8xmivteXc2xf3D70EVs48aMuixwDA7rdZ/293pmoAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKG/f9W7s2uaMJKcl2T/Jp5Mcl+RxSS5MclSS65Kc0A/jlV3bHJ3kkiT3JHlZP4zX7rZRAwBsoDWDqGubFyb5jSQvTfLNJJcnOSPJU5Lcn+SI+fsPJ3l6krfO3x+W5I1d25yZ5D1JTuyHcWU3zgEAYJest8ns/iRn9sP4iX4Yv5bkS0memOSYJBf1w3hDkg8kObxrm4Pn57opybeS7JPkHUk+J4YAgGW35hqifhivSHJFknRt87QkL0rysiSvS3L3fLc758uDk5yfZExyX5J3JnlOP4ynbe+5u7bZL8l+mTbFAQAs1A53qu7a5seSXJbk/f0wfmaNu630w3hZkoMybUprk1zetc31XdtcOgfQamdliqkbd37oAAAbY90g6trmoCSfTPKFJKfPV9+a5MD5663z5S1J0g/jA5nWFJ2d5NQkJ8+3v+QhT31OkgOSHLrzQwcA2BhrBlHXNo9L8vFM+wSdlmRr1zYHZtqMdmzXNoclOT7J1f0w3jY/5pgkN/fDeHmm/YjuyHTU2T6rn7sfxvv6YbwrD256AwBYmPXWEP18kucm+dkkf53kO/Of0+fHXZPk+ZkOxU/y//c7OnX+9h2ZgurQTEeoAQAspfV2qv5Qkg+tcfML1nncynx5cZKLd2l0AAB7gDNVAwDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJS376IHAMDebcu5t68segyLtHLmQVsWPQZ2zBoiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlLfvzj6wa5tXJjk3yROSfCzJSUnenuTEJP8zSdcP48pGDBIAYHfaqTVEXds8IcmHkpyT5LlJnpfk1CTt/P1Tkjyza5uju7Y5cYPGCgCwW+zsJrPnJNknyQX9MP6fJB9NcnSSv03yzSR3Z1pz9B+TjLs+TACA3WdnN5kdkuS7qzaJ3Znk4CR/NH/9mSRvSPL2fhhveeiDu7bZL8l+Sfafr9q/a5udHMrmsO+zzlv0EBaqa5utix4DsBg+/8p9/u2/47ssn53eh2g7VvphfH3XNicl+fkkL0jyL7q2OT/Jb/bD+F9X3fesJL+26vsbN3AcS+mVXz5l0UNYtDsXPQBgMXz+lf38OyjJXYsexMO1s0F0a5KtXds8qh/G7yfZmmTbmqC/l+T0JG9J8q4kXZIhyeogOme+bf9MMXRops1sm9XeMo9k75mLeSyfvWUu5rFc9pZ5JHvPXLbN4/ZFD+SR2Nkg+mKS7yV5Y9c2n0zy8jwYPL+aaQfr7yW5P8ltSbasfnA/jPcluW/VZrK7+2HcNBX5UHvLPJK9Zy7msXz2lrmYx3LZW+aR7D1z2ay7wOzUTtX9MN6a5Lgkb03yJ0k+nweD6MR+GP84yZeS3Jwpnv7LGk91X5J/N19uZnvLPJK9Zy7msXz2lrmYx3LZW+aR7D1z2ZTz2LKy4lRBAEBtzlQNAJS3kUeZ7VDXNgcneX+Sf5bkO0n+Qz+M/3m+7YfOfN0P4z17cnw7a5OP/Ywkp2XaCe7TmTaFPi7JhUmOSnJdkhP6YbxyMSN8ZLq2+UiSth/GLV3bPCPJBUmenuTPkhzXD+PXFzm+Hena5lFJfjnJ65N8tR/Gl3Ztc2g24fLo2ub4TEeTPj7TqThem03y2po/q16T5Ngk/7ofxj9fbzl0bfObmU418kCS9/TDeM5CBv4Qa8zj2Zl2cfhHSb6e5Bf7Yfz0fP+lnEey/bmsuu0lmX5Dwuv6YbxwPrXLe5K8MtNRTr/eD+OFe37UP2yteXRtc3SS30jy7CQ/2Q/jt+frl3KZrPHaelqS30nyrCTXZ3ptfWq+/1LOY7U9vYbo3ZmOQjsi06H37+7a5mnrnPl66W3ysb8w0xvwuExvwn+c5Iwk78y0Q/wRST6X5MMLGuIj0rXNy5O8YtVVFyT5SqZ53JrkvYsY1yP0riSnZDpS87XzdZtueczvi/cl+fdJjkxyeKZ9Dpd+Ll3b7J/khiT/MtMH+7aDQrY79q5tXpzpPf+yJL+Q5O1d2xy1h4f9Q7Y3jzm4fy/Tvp1PSfKHSS6a77+U80jWXSbp2uZxmQLv+6se8vokL870efy2JO/v2uZJe2zAa1hrHl3bPDfJp5JckeQZmfa/Xdplss7yODfJPUl+KsknMv0AsbTzeKg9HUR/muTMfhj/Isn/mK87JGuf+Xoz2Mxjvz/T8vhEP4xfy7Qj/BOTHJPkon4Yb0jygSSHzz8NLK35xGfnZY6erm0ekylQL5jncWGWfLl0bXNIphg6uR/Gj/bDuO2Q1U23PDJ9QD6Q6dDbm5L8TaYjTzfDXO5N8g8ynTJktbXGfkySz/fD+MV+GD+TKcKX4bW2vXk8NsnvJjmnH8abklyW5Ald2+yT5Z1HsvYySaYfRj+baavDNsckuawfxmv7Ybwo0+vvp3f7KHdsrXmcneTSfhjf1g/jN1ad9HhZl8la8/h+puXwV0m+nek9nyzvPH7AHt1k1g/ju1Z9e1qm1bVfyLTabXtnvt4M1jpr99Lrh/GKTD+RZF7V+aJMBf+6PHgOjG0nFDs4yV/v6TE+Audm2uT3qSRvzrRckh+cx2O7tnnsEm/OPCpTXL+6a5vzklyd5IRMc9lUy6Mfxlu7tjkr0ybk+zO919+R6bQcSz2Xfhi/l+SWrm2e/JCb1loOq6/fdtvCPwO2N49+GL+baZPsts2zpya5pB/GB+YgX7p5JGsvk65tfjrJqzKttfvqqpsOyQ+e8Hcp5rLOa+t5Sf6ka5uvZfpB4m39MP73bKLX1uwtSa7KFEyPznSC5mRJ5/FQu30NUdc253dtc8f852fm67pMb8pfmP9ht2czH/62qcbetc2PZfpJ8f1zvW/P0s5pfl01md6MO7K088i0r81Kps0xL8+0tu631rjvMs8jXdv8eKb9h07J9GH/I0l+aY27L/VcdmCtsW+GOZ2X5Cez/vtmaefRtc2jk3wwyenzqWB2ZGnnkum9f2+mTVBjkg93bfP4Ne67zPN4V6Zf4fXsJL+d5Lw5vLdn6eaxJzaZ/WqSZ85/ruza5p9nehG/ej5fUbLqzNfz96vPfL3sNvPY07XNQUk+mWlN3enz1bcmOXD+etvv4FnmOZ2daYf2byS5ZL7uuvnywPlya6Y1effu2aE9IrckubcfxvP7Yfxyprkcmc23PJIpgvaZ53Jlpv1WXpzNOZdt1hr76uu33bbUc+ra5pxM0f1z/TDeNl+92ebxikxrht7btc0dmX5NxPld27wmm28utyT53fl9/+5Mmzb/YTbfPF6U5L/1w3h1pp3aD0/y5GySeez2TWZzud+aJF3bHJPkI5l+Uvyjrm0OzLQ6fb0zXy+7TTv2eWfEjyf5VqZNmFvnM4xekeTYrm3+MMnxSa5e9aG5jI5L8pj563+aaWfqp2b6lTEndG3zzUxHQvzBIgb3CHwh0xncT820qanJtF/XY7K5lkcybb740a5tXpXp5K0vzPReuTmbby7bbPd90bXNFUne1LXNP8n0S6uPzLSpcynNR5aenOk/r9vnz+F7Ms1v08wjyaVJfmLV919K8ptJfj/TGpdfmY80PTLJ38l0AuFldWmSk7q2+WKm/XK+m+T/ZvMtk2uSvLJrm89nmsddmfYh3BTz2NM7Vf96pvJ9X6Ydr76T5PwdnPl6qW3msWf6JbzPTfKzmfbh2LZMTs/02rgmyfMzzW9p9cP47X4Yr++H8frMP3XMX78h0yH312baXv3mRY3x4eiH8c5MP/WelGmnw9syLYtNtTySpB/Gq5K8KdORWVcl+ctMa/I23VxWWWvsl2U6G/9Hk/RJfqUfxj9dxAAfpnOTHJApwLe951+TTTaPfhi/u+19P7/fv5/k1nk/qQ9mms9nM0XSCf0wfmtxo92hf5tpOXwl0+vqVf0w3pFNtkwy7X/6pEwx98pM87gvm2QezlQNAJT3/wDjGRqsR2B2xAAAAABJRU5ErkJggg==);}
span.detail_graph-f19-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f19-30::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAafklEQVR4nO3df7BndX3f8dcKEWPdBbFg0yA1sdFBLNUZlXSMMFNjqladU+PRHpsKKj+kSCRiIUwwScc0SFOtrULjD1IUJofxTNNjpEj9NSFGTQ3RDBLQFg0SiEIW5IeBwIi3f5yz5bruvbvs3t37vft+PGZ2vnu/3/P98vlw7ve7z3t+3U1LS0sBAKjsUes9AACA9SaIAIDyBBEAUN6B6/kf79pmU5K/n+Te9RwHALCmNif5q34YN8yByusaRJli6JZ1HgMAsPaOSHLreg9iV613EG3bMnREbCUCgP3B5kwbOzbUv+vrHUTb3NsP4z3rPQgAYM90bbPeQ9gtDqoGAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoLwD13sA+5tNF9y5tCvLLZ1z6Ka9PRYAYNfYQgQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMo7cLUHu7Y5KcmvJXl8ks8keW2SxyW5JMmxSW5McnI/jNd0bXNcksuT3JfkZf0w3rAXxw0AsGZWDKKubZ6Q5H1JTk/yiST/K8lbk/xUkgeTHJ3k7CQfTvL0+bGzkxyZ5I1d25yT5D1JTumHcWkvzgEAYI+ststsU5KHktyS5NYkf5Pke0mOT3JpP4w3J/lAkqO6tjlsfq1bk3wryQFJ3pHkc2IIAFh0KwZRP4xbk5yb5GNJ7kny6EyRc3iSe+fF7p5vD0tyUZIxyQVJ/jLJEf0wXrKj1+7a5qCubbYk2bzHMwAA2EMrBlHXNj+e6fih05M8L8mPJPmlFRZf6ofxyiSHZtqV1ia5qmubm7q2uaJrm4O2W/7cTDF1yx6OHwBgj622y+x5SQ7oh/GifhivSfJ7SV6cZGuSQ+Zltsy3tydJP4wPZdpSdF6SM5KcNj/+ku1e+/wkByc5Yg/HDwCwx1YLoq8m+dGubV7Vtc1PJHlhkuuTXJ3khK5tjkxyUpLr+mG8I0m6tjk+yW39MF6V6TiiuzKddXbA8hfuh/GBfhjvycO73gAA1s1qxxBdm+RNSd6Z5NpMxwWdl+Ss+XnXJ3l+khOXPefqTFuGkul4o49n2gp01doPHQBgbax6HaJ+GC/KtAtsey9Y5TlL8+1lSS7bo9EBAOwDrlQNAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAo78DVHuza5lFJfjnJ65N8tR/Gl3Ztc0SSS5Icm+TGJCf3w3hN1zbHJbk8yX1JXtYP4w17deQAAGtk1SBK8q4kbZJ/k+Sz833vTPJgkqOTnJ3kw0menuSt89dHJnlj1zbnJHlPklP6YVxa+6EDAKyNFXeZdW1zeJLTk5zWD+NH+2G8c37o+CSX9sN4c5IPJDmqa5vD5te6Ncm3khyQ5B1JPieGAIBFt9oWomMzhc2ru7a5MMl1SU5OcniSe+dl7p5vD0tyUZIxyQOZtiI9px/GM3f0wl3bHJTkoCSb92z4AAB7brWDqh+fZCnJ55K8PMkTk/zWCssu9cN4ZZJDM+1Ka5Nc1bXNTV3bXDEH0HLnZoqpW/Zk8AAAa2G1ILo9yf39MF7UD+OXMx0wfUySrUkOmZfZsmzZ9MP4UKYtReclOSPJafPjL9nutc9PcnCSI/Zw/AAAe2y1IPpCkge6tjmja5snJ2mSfCnJ1UlO6NrmyCQnJbmuH8Y7kqRrm+OT3NYP41WZdrfdlemsswOWv3A/jA/0w3hPHt71BgCwblYMon4Y707yiiSnJvlKkjuSnDX/eVSS65M8P8mJy55zdaYtQ8l0UPXHM20Fumrthw4AsDZWPe1+Dpxn7OChF6zynKX59rIkl+3R6AAA9gFXqgYAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJR34K4s1LXNR5K0/TBu6trmGUkuTvL0JH+W5MR+GL/etc2rkvx2km8meVE/jLftpTEDAKypnW4h6trm5Uleseyui5N8JcnRSbYmee98/3nzcn+c5DVd2/zdrm3evaajBQDYC1YNoq5ttiS5MHP0dG3zmCTPTXJxP4w3J7kkyXHLXuubSW7PtOXp/Ul+f6+MGgBgDe1sl9kFST6d5FNJ3pzk8Pn+e+fbu5M8tmubxyb5T0n+PMltSS5N8hf9MH5mRy/atc1BSQ5KsnmPRg8AsAZW3ELUtc3PJGmSvGUXXmepH8aLk2xJ8nNJXpjklq5tbu7a5nd2sPy5mWLqlkc8YgCANbbaLrPzkjwhyTeSXD7fd+N8e8h8uyXJd/thvH/Z8z6Y5NQk5yTpkhzTtc2ztnvt85McnOSI3R45AMAaWS2ITkzy1CTPTPKL831PTXJNkpO7tnlSkhOS/MGy5/yrJB/rh/HaJEtJvpPkb5McsPyF+2F8oB/Ge/LwrjcAgHWzYhD1w/jtfhhv6ofxpkwHSmf++xsynXJ/Q5LDMh1btO05H0ryzvnLdyf530nuTPKltR86AMDa2LS0tLRu//H5LLa7kxw8bzHa8DZdcOcu/Q9dOufQTXt7LACwr23Uf9tdqRoAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyjtwtQe7tjk7yZlJNif5dJITkzwuySVJjk1yY5KT+2G8pmub45JcnuS+JC/rh/GGvTZqAIA1tGIQdW3zwiS/keSlSb6Z5KokZyd5SpIHkxw9f/3hJE9P8tb56yOTvLFrm3OSvCfJKf0wLu3FOQAA7JHVdpk9mOScfhg/0Q/j15J8KckTkxyf5NJ+GG9O8oEkR3Vtc9j8Wrcm+VaSA5K8I8nnxBAAsOhW3ELUD+PVSa5Okq5tnpbkRUleluR1Se6dF7t7vj0syUVJxiQPJHlnkuf0w3jmjl67a5uDkhyUaVccAMC62ulB1V3b/FiSK5O8vx/Gz6yw2FI/jFcmOTTTrrQ2yVVd29zUtc0VcwAtd26mmLpl94cOALA2Vg2irm0OTfLJJF9IctZ899Ykh8x/3zLf3p4k/TA+lGlL0XlJzkhy2vz4S7Z76fOTHJzkiN0fOgDA2lgxiLq2eVySj2c6JujMJFu6tjkk0260E7q2OTLJSUmu64fxjvk5xye5rR/GqzIdR3RXprPODlj+2v0wPtAP4z15eNcbAMC6WW0L0c8neW6Sn03y10m+M/85a37e9Umen+lU/CT//7ijM+Yv35EpqI7IdIYaAMBCWu2g6g8l+dAKD79glectzbeXJblsj0YHALAPuFI1AFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHkHrvcAANj4Nl1w59KuLrt0zqGb9uZYYHfYQgQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyDtzdJ3Zt88okFyR5QpKPJTk1yduTnJLkfybp+mFcWotBAgDsTbu1hahrmyck+VCS85M8N8nzkpyRpJ2/fkqSZ3Ztc1zXNqes0VgBAPaK3d1l9pwkByS5uB/G/5Pko0mOS/K3Sb6Z5N5MW47+Y5Jxz4cJALD37O4us8OTfHfZLrG7kxyW5I/mv38myRuSvL0fxtu3f3LXNgclOSjJ5vmuzV3b7OZQFsuBz7pwl5br2mbLXh4KwD6zq599ic+/AjbvfJHFs9vHEO3AUj+Mr+/a5tQkP5/kBUn+Rdc2FyX5zX4Y/+uyZc9N8mvLvr5lDcexrl755dN3ddG79+Y4APalR/DZl/j8q+LQJPes9yB21e4G0dYkW7q2eVQ/jN9PsiXJti1Bfy/JWUnekuRdSbokQ5LlQXT+/NjmTDF0RKbdbBvV/jKPZP+Zi3ksnv1lLuaxWPaXeST7z1y2zePO9R7II7G7QfTFJN9L8saubT6Z5OV5OHh+NdMB1t9L8mCSO5JsWv7kfhgfSPLAst1k9/bDuGEqcnv7yzyS/Wcu5rF49pe5mMdi2V/mkew/c9moh8Ds1kHV/TBuTXJikrcm+ZMkn8/DQXRKP4x/nORLSW7LFE//ZYWXeiDJv5tvN7L9ZR7J/jMX81g8+8tczGOx7C/zSPafuWzIeWxaWnKpIACgNleqBgDKW8uzzHaqa5vDkrw/yT9L8p0k/6Efxv88P/ZDV77uh/G+fTm+3bXBx352kjMzHQT36Uy7Qh+X5JIkxya5McnJ/TBesz4jfGS6tvlIkrYfxk1d2zwjycVJnp7kz5Kc2A/j19dzfDvTtc2jkvxyktcn+Wo/jC/t2uaIbMD10bXNSZnOJn18pktxvDYb5Htr/qx6TZITkvzrfhj/fLX10LXNb2a61MhDSd7TD+P56zLw7awwj2dnOsThHyX5epJf7Ifx0/PyCzmPZMdzWfbYSzL9hoTX9cN4yXxpl/ckeWWms5x+vR/GS/b9qH/YSvPo2ua4JL+R5NlJfrIfxm/P9y/kOlnhe+tpSX4nybOS3JTpe+tT8/ILOY/l9vUWondnOgvt6Eyn3r+7a5unrXLl64W3wcf+wkxvwBMzvQn/cZKzk7wz0wHxRyf5XJIPr9MQH5GubV6e5BXL7ro4yVcyzWNrkveux7geoXclOT3TmZqvne/bcOtjfl+8L8m/T3JMkqMyHXO48HPp2mZzkpuT/MtMH+zbTgrZ4di7tnlxpvf8y5L8QpK3d21z7D4e9g/Z0Tzm4P69TMd2PiXJHya5dF5+IeeRrLpO0rXN4zIF3veXPeX1SV6c6fP4bUne37XNk/bZgFew0jy6tnlukk8luTrJMzIdf7uw62SV9XFBkvuS/FSST2T6AWJh57G9fR1Ef5rknH4Y/yLJ/5jvOzwrX/l6I9jIY38w0/r4RD+MX8t0IPwTkxyf5NJ+GG9O8oEkR80/DSys+UJvF2aOnq5tHpMpUC+e53FJFny9dG1zeKYYOq0fxo/2w7jtlNUNtz4yfUA+lOnU21uT/E2mM083wlzuT/IPMl0yZLmVxn58ks/3w/jFfhg/kynCF+F7bUfzeGyS301yfj+Mtya5MskTurY5IIs7j2TldZJMP4x+NtNeh22OT3JlP4w39MN4aabvv5/e66PcuZXmcV6SK/phfFs/jN9YdtHjRV0nK83j+5nWw18l+Xam93yyuPP4Aft0l1k/jO9a9uWZmTbXfiHTZrcdXfl6I1jpqt0Lrx/GqzP9RJJ5U+eLMhX86/LwNTC2XUDtsCR/va/H+AhckGmX36eSvDnTekl+cB6P7drmsQu8O/PYTHH96q5tLkxyXZKTM81lQ62Pfhi3dm1zbqZdyA9meq+/I9NlORZ6Lv0wfi/J7V3bPHm7h1ZaD8vv3/bYun8G7Gge/TB+N9Mu2W27Z89Icnk/jA/NQb5w80hWXidd2/x0kldl2mr31WUPHZ4fvODvQsxlle+t5yX5k65tvpbpB4m39cP437OBvrdmb0lybaZgenSmCzQnCzqP7e31LURd21zUtc1d85+fme/rMr0pf2H+H7sjG/n0tw019q5tfizTT4rvn+t9RxZ2TvP3VZPpzbgzCzuPTMfaLGXaHfPyTFvrfmuFZRd5Huna5sczHT90eqYP+x9J8ksrLL7Qc9mJlca+EeZ0YZKfzOrvm4WdR9c2j07ywSRnzZeC2ZmFnUum9/79mXZBjUk+3LXN41dYdpHn8a5Mv8Lr2Ul+O8mFc3jvyMLNY1/sMvvVJM+c/1zTtc0/z/RN/Or5ekXJsitfz18vv/L1otvIY0/XNocm+WSmLXVnzXdvTXLI/Pdtv3Noked0XqYD2r+R5PL5vhvn20Pm2y2ZtuTdv2+H9ojcnuT+fhgv6ofxy5nmckw23vpIpgg6YJ7LNZmOW3lxNuZctllp7Mvv3/bYQs+pa5vzM0X3z/XDeMd890abxysybRl6b9c2d2X6NREXdW3zmmy8udye5Hfn9/27M+3a/IfZePN4UZL/1g/jdZkOaj8qyZOzQeax13eZzeW+NUm6tjk+yUcy/aT4R13bHJJpc/pqV75edBt27PPBiB9P8q1MuzC3zFcYvTrJCV3b/GGSk5Jct+xDcxGdmOQx89//aaaDqZ+a6VfGnNy1zTcznQnxB+sxuEfgC5mu4H5Gpl1NTabjuh6TjbU+kmn3xY92bfOqTBdvfWGm98pt2Xhz2WaH74uuba5O8qaubf5Jpl9afUymXZ0LaT6z9LRM/3jdOX8O35dpfhtmHkmuSPITy77+UpLfTPL7mba4/Mp8pukxSf5OpgsIL6orkpzatc0XMx2X890k/zcbb51cn+SVXdt8PtM87sl0DOGGmMe+Pqj61zOV7/syHXj1nSQX7eTK1wttI4890y/hfW6Sn810DMe2dXJWpu+N65M8P9P8FlY/jN/uh/GmfhhvyvxTx/z3N2Q65f6GTPur37xeY9wV/TDenemn3lMzHXR4R6Z1saHWR5L0w3htkjdlOjPr2iR/mWlL3oabyzIrjf3KTFfj/2iSPsmv9MP4p+sxwF10QZKDMwX4tvf8a7LB5tEP43e3ve/n9/v3k2ydj5P6YKb5fDZTJJ3cD+O31m+0O/VvM62Hr2T6vnpVP4x3ZYOtk0zHnz4pU8y9MtM8HsgGmYcrVQMA5f0/JJMarLrZfisAAAAASUVORK5CYII=);}
span.minigraph-f20::before { content: url(data:image/png;base64,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);}
span.detail_graph-f20-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f20-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f20-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f20-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f21::before { content: url(data:image/png;base64,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);}
span.detail_graph-f21-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f21-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f21-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f21-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f22::before { content: url(data:image/png;base64,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);}
span.detail_graph-f22-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f22-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f22-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f22-30::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgEklEQVR4nO3df/Ctd0HY+XdINJY1IQYT122kuu3qAi7qTDHtKGRnKVapOGe0R/egNVEJP4pR2jCkmWatO3YNqQOli6QKxgmE3YfxmbGPykKqlTVaqnZT6iCC3cEaYlhMGiA/FAwr3v3jObe5ZnNvwr3fm5vcz+s1c+fc7znPOd/P5557v/f9/Tw/vmccOnQoAICRPelUDwAA4FQTRADA8AQRADC8s07lJ99tN2dU/1V1/6kcBwBwoM6p/p9pXp4wByqf0iBqjaE7TvEYAICDd1H1kVM9iEfrVAfR4ZWhi7JKBACng3NaFzueUP+vn+ogOuz+aV7uO9WDAABOzG67OdVDOC4OqgYAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGd9apHsDozrju44ce7baHrjr/jJM5FgAYlRUiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4R3zh7vutpsXV/+o+oLq3dV3V59f3VhdXH2ounyal1t3281zq7dXn6xeOM3LB0/iuAEADsxRg2i33Ty1+snqFdUvVv+yelX131Sfrp5Zvbp6a/WM/WOvrp5WvWy33VxVvaF6yTQvj/onugMAPNaOtcvsjOoz1R3VR6o/rv60uqS6aZqX26s3V0/fbTcX7F/rI9VHqzOr11TvEUMAwOPdUYNompe7q6urX6juqz63NXIurO7fb3bv/vaC6vpqqa6r/qC6aJqXGx/utXfbzdm77ebc6pwTngEAwAk6ahDttpu/2Hr80Cuqr6s+p/p7R9n80DQv76zOb92Vtq1u3m03t+22m3fstpuzH7L91a0xdccJjh8A4IQda5fZ11VnTvNy/TQvt1Y/W31TdXd13n6bc/e3d1VN8/KZ1pWia6orqpfvH3/BQ1772uop1UUnOH4AgBN2rCD63eov7Labb99tN19WPb/6QHVLdeluu3la9eLq/dO8fKxqt91cUt05zcvNrccR3dN61tmZR77wNC8PTPNyXw/uegMAOGWOdQzR+6rvr15bva/1uKBrqiv3z/tA9ZzqsiOec0vrylCtxxu9q3UV6OaDHzoAwME45nWIpnm5vnUX2EM97xjPObS/fVv1thMaHQDAY8CVqgGA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4Zx3tgd12c2N16UPu/r3qv69urC6uPlRdPs3Lrbvt5rnV26tPVi+c5uWDJ2G8AAAH7lgrRH+3+oIjfv1K9bPVa6tPV8+s3lO9db/9q6pXVz9dvWy33Xzebrt58267OePkDB0A4GAcNYimefnkNC/3TPNyT/Ul1ddXP15dUt00zcvt1Zurp++2mwv2r/WR6qPVmdVrqvdM83Lo5E4BAODEPNpjiF5V/Yt9BF1Y3b+//9797QXV9dVSXVf9QXXRNC83PtyL7babs3fbzbnVOcc3bACAg/OIQbTbbi6qdtU/O8Zmh6Z5eWd1fuuutG118267uW233bxjt92c/ZDtr26NqTuOb9gAAAfn0awQ/WD1W9O8vGf/8d3Vefvfn7u/vatqmpfPtK4UXVNdUb18//gLHvKa11ZPqS46rlEDABygYwbRfrfWS/rzq0O3VJfutpunVS+u3j/Ny8f2219S3TnNy82txxHd03rW2ZlHvu40Lw9M83JfD+56AwA4ZR5pheil1R9XP3PEfVfun/eB6jnVZYcfmOblltaVoVoPqn5X6yrQzQczXACAg3fGoUOn7iSw/QrUvdVT9itGwznjuo8/6jfg0FXnu4QBAI9rT9T/212pGgAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAY3lnHenC33Typ+gfV91a/O83LN++2m4uqG6uLqw9Vl0/zcutuu3lu9fbqk9ULp3n54EkdOQDAATlmEFWvq7bV361+bX/fa6tPV8+sXl29tXpG9ar9x0+rXrbbbq6q3lC9ZJqXQwc/dACAg3HUXWa77ebC6hXVy6d5+blpXj6+f+iS6qZpXm6v3lw9fbfdXLB/rY9UH63OrF5TvUcMAQCPd8daIbq4NWy+Y7fdvLF6f3V5dWF1/36be/e3F1TXV0v1QOsq0rOneXnlw73wbrs5uzq7OufEhg8AcOKOdVD1F1SHqvdU31J9UfVjR9n20DQv76zOb92Vtq1u3m03t+22m3fsA+hIV7fG1B0nMngAgINwrCC6q/rUNC/XT/Py71sPmH5WdXd13n6bc4/YtmlePtO6UnRNdUX18v3jL3jIa19bPaW66ATHDwBwwo4VRL9ePbDbbq7YbTdfWm2q91a3VJfutpunVS+u3j/Ny8eqdtvNJdWd07zc3Lq77Z7Ws87OPPKFp3l5YJqX+3pw1xsAwClz1CCa5uXe6lurl1a/XX2sunL/60nVB6rnVJcd8ZxbWleGaj2o+l2tq0A3H/zQAQAOxjFPu98Hzlc+zEPPO8ZzDu1v31a97YRGBwDwGHClagBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABjeWcd6cLfd/MvqG46467XVjdUN1TOq36oum+bl93bbzbdXP1F9uPrGaV7uPBkDBgA4aI+0QvTF1SuqL9j/uqY1hn67emZ1d/Xj+22vqb61+o3qRbvt5gt3283rT8KYAQAO1KMJot+f5uWeaV7u2d/3tdUN07zc3rpa9NwjXuvD1V2tK09vqn7+oAcMAHDQjrrLbLfdfG711OrHdtvNT1W/Xl25f/j+/e291ZN3282Tq39a/U51Z3VTa0i9+yivfXZ1dnXOQUwCAOBEHGuF6FD1/dUPtu4Ke1b1w0fbdpqXG6pzW485en51x267uX233fz0w2x/dWtM3XGc4wYAODDHCqIzq2Wal1+e5uU3q6X6yv1j5+1vz63+aJqXTx3xvJ+qXlpdVe2qZ+22m695yGtfWz2luuiERg8AcACOdZbZX6l+e7fdbFoPov6b1a/uH7t8t918uLq0+pUjnvOd1S9M8/K+3XZzqPpE9SetcfWfTfPyQPXAbrs5gCkAAJyYo64QTfPy/uoHqje2nl7/oeqHqu9rPeX+g9UFrbvUDj/nLa2n5le9vvrN6uPVew985AAAB+SY1yGa5uUN1Rsecvcnqmcf4zmH9rfXVded6AABAE42V6oGAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4Z31aDbabTc/U22neTljt918ZXVD9Yzqt6rLpnn5vd128+3VT1Qfrr5xmpc7T9KYAQAO1COuEO22m2+pvvWIu26ofrt6ZnV39eP7+6/Zb/cb1Yt2280X7rab1x/oaAEAToJjBtFuuzm3emP76NltN59XfW11wzQvt1c3Vs894rU+XN3VuvL0purnT8qoAQAO0CPtMruu+uXqX1U/WF24v//+/e291ZN3282Tq39a/U51Z3VT9fvTvLz74V50t92cXZ1dnXNCowcAOABHXSHabTdfX22qv/8oXufQNC83VOdW31A9v7pjt93cvttufvphtr+6Nabu+KxHDABwwI61y+ya6qnVf6zevr/vQ/vb8/a351Z/NM3Lp4543k9VL62uqnbVs3bbzdc85LWvrZ5SXXTcIwcAOCDHCqLLqi+vvrr6gf19X17dWl2+226+pLq0+pUjnvOd1S9M8/K+6lD1iepPqjOPfOFpXh6Y5uW+Htz1BgBwyhw1iKZ5+cNpXm6b5uW21gOl2//++1pPuf9gdUHrsUWHn/OW6rX7D19f/Wb18eq9Bz90AICDccahQ4dO2Sffn8V2b/WU/YrRcM647uOP+g04dNX5Z5zMsQDAiXqi/t/uStUAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPDOOtoDu+3mc6rXVd9VnVH9QnV59YXVjdXF1Yeqy6d5uXW33Ty3env1yeqF07x88OQOHQDgYBw1iKoXVd9ZPa81cv7P6iXV11Wfrp5Zvbp6a/WM6lX7j59WvWy33VxVvaF6yTQvh07WBAAATtRRd5lN8/KWaV7On+blvdUftkbQ/1tdUt00zcvt1Zurp++2mwv2r/WR6qPVmdVrqveIIQDg8e5YK0RV7bab97WuAP1K9RPVG6v79w/fu7+9oLq+WqoHqtdWz57m5ZVHec2zq7Orc4575AAAB+TRHFT9guobqq+qvvco2xya5uWd1fmtu9K21c277ea23Xbzjn0AHenq1pi64/iGDQBwcI4aRLvt5lm77eb507zcMc3Lu1uPIbqkurs6b7/Zufvbu6qmeflM60rRNdUV1cv3j7/gIS9/bfWU6qIDmAMAwAk51grRV1U/u9tuLt5tN8+s/nr13uqW6tLddvO06sXV+6d5+VjVbru5pLpzmpebW48juqf1gOwzj3zhaV4emOblvh7c9QYAcMocK4j+t+onq3dUv9p62v0bqyv3z/tA9ZzqssNPmOblltaVoVoPqn5X6yrQzQc8bgCAA3PUg6qnefmz1lPpX/WQh25vPRX/aM87tL99W/W2AxgjAMBJ5UrVAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMLyzjvXgbrt5dfXK6pzql6vLqs+vbqwurj5UXT7Ny6277ea51durT1YvnOblgydt1AAAB+ioQbTbbp5f/ePqm6sPVzdXr67+cvXp6pn7j99aPaN61f7jp1Uv2203V1VvqF4yzcuhkzgHAIATcqxdZp+urprm5RenefkP1XurL6ouqW6a5uX26s3V03fbzQX71/pI9dHqzOo11XvEEADweHfUFaJpXm6pbqnabTdfUX1j9cLqe6r795vdu7+9oLq+WqoHqtdWz57m5ZUP99q77ebs6uzWXXEAAKfUIx5Uvdtuvrh6Z/WmaV7efZTNDk3z8s7q/NZdadvq5t12c9tuu3nHPoCOdHVrTN1x/EMHADgYxwyi3XZzfvVL1a9XV+7vvrs6b//7c/e3d1VN8/KZ1pWia6orqpfvH3/BQ1762uop1UXHP3QAgINx1CDabTefX72r9ZigV1bn7rab81p3o126226eVr24ev80Lx/bP+eS6s5pXm5uPY7ontazzs488rWneXlgmpf7enDXGwDAKXOsFaJvq762+hvVf6o+sf915f55H6ie03oqfvWfjzu6Yv/ha1qD6qLWM9QAAB6XjnVQ9Vuqtxzl4ecd43mH9rdvq952QqMDAHgMuFI1ADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADA8QQQADE8QAQDDE0QAwPAEEQAwPEEEAAxPEAEAwxNEAMDwBBEAMDxBBAAMTxABAMMTRADA8AQRADC8sx5pg912c0H1ourS6u9M8/I7u+3mourG6uLqQ9Xl07zcuttunlu9vfpk9cJpXj540kYOAHBAjhlEu+3mnOr26reqr6nO2D/02urT1TOrV1dvrZ5RvWr/8dOql+22m6uqN1Qvmebl0EkYPwDACXukXWafqv5StXvI/ZdUN03zcnv15urp+5WkJ1UfqT5anVm9pnqPGAIAHs+OuUI0zcufVnfttpsvfchDF1b3739/7/72gur6aqkeaF1FevY0L6986Ovutpuzq7Orc45z3AAAB+YgD6o+NM3LO6vzW3elbaubd9vNbbvt5h37CDrs6taQuuMAPz8AwHE53iC6uzpv//tz97d3VU3z8pnWlaJrqiuql+8ff8ERz7+2ekp10XF+fgCAA3O8QXRLdeluu3la9eLq/dO8fKxqt91cUt05zcvNrccR3dN61tmZh588zcsD07zc14O73QAATpnjDaIr98/9QPWc6rLDD0zzckvrylCtB1W/q3Ul6ObjHiUAwEn0iNchqprm5bYePOW+/dllzzvG9of2t2+r3nZiQwQAOLlcqRoAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIYniACA4QkiAGB4gggAGJ4gAgCGJ4gAgOEJIgBgeIIIABieIAIAhieIAIDhCSIAYHiCCAAYniACAIZ31qkeAJ+9M677+KFHu+2hq84/42SOBQBOB1aIAIDhCSIAYHh2mXFUds0BMAorRADA8AQRADA8QQQADE8QAQDDE0QAwPCcZcYp52w24HT1aL+++dp26lkhAgCGJ4gAgOEJIgBgeI4hYhiOVQIOc2wPD2WFCAAYnhUiOGBWouD4WbnhVDnuINptN3+7uq56avUL1UurH6leUv0f1W6al0f9HwPw2RFeAAfnuIJot908tXpL9YPVr1Y3V1dU2+prq7dWX73bbs6p/ttpXt50MMMFHmu+Y6f8PeD0d7wrRM+uzqxumObl0G67+bnqudWfVB+u7m9dOfrR6psPYqDA6e2x+g/X5wEezvEG0YXVHx2xS+ze6oLqX+9//+7q+6ofmeblroc+ebfdnF2dXZ2zv+uc3XZznEN5Yjvra974qLfdbTfnHu9zjofP4/N8Np/nRD6Hz+Pz+Dwn9nkeZ8555E0ef844dOizP8xnt918d/W6aV6+cP/xD1ffNM3Lxbvt5nOqb6ue17qK9PzqR6d5+edHPP+Hq390wqMHAB6vvmyal9tO9SAereNdIbq7One33Txpmpc/q86tDq8E/ZfVldXfr15X7aq5+udHPP/a/WPnVHdUF7XuZhuJuZu7uY9h1HmXuY8+94+f6oF8No43iP5t9afVy3bbzS9V39KDwfNDrQdY/2n16epj1Z/bdz3NywPVA0fsJrt/mpf7jnMsT0jmXpm7uQ9g1HmXue+NPPcnlOO6MOM0L3dXl1Wvqv6v6t/0YBC9ZJqX36jeW93ZGk//61Fe6oHqf97fjsbczX00o8591HmXuZv7E8hxHUMEAHA68aM7AIDhPaY/umO33VxQvan6m9Unqn8yzcs/2z/2/7vy9TQvn3wsx/dYGWmuVbvt5tXVK1sPtPvl1t2tn1/dWF1cfai6fJqXW0/NCE++3XbzM9V2mpczdtvNV1Y3VM+ofqu6bJqX3zuV4zsZdtvNk6p/UH1v9bvTvHzzbru5qAHe99128+LWM2m/oPUyJN/dafx3fv+1/UXVpdXfmebld471Xu+2mx9tvTTLZ6o3TPNy7SkZ+AE4ytz/authJP9d9XvVD0zz8sv77U+LuT/cvI947AWtP7Hie6Z5uXF/qZ03VH+7uq/64WlebnzsR31sj/UK0etbz0J7ZnV19frddvMVR1z5+trWK11/XeuB2aedkeZatdtunl/949YI+qvVV1Wvrl7betD9M6v3tF7d/LS0226+pfrWI+66ofrt1rnfXf34qRjXY+B11Stazzr97v19p/37vv83/pPV/1I9q3p66/GWp+Xc9z+R4Pbqf6y+pgdPonnY+e62m29q/Zr3wuq7qh/ZbTcXP8bDPhAPN/f9NwI/23r87F9u/WkON+23Py3mfoz3vN128/mtMfhnRzzle6tvav3/7n+q3rTbbr7kMRvwo/RYB9G/q66a5uX3q3+xv+/C/vyVr//v6vCVr09HI8211i+IV03z8ovTvPyH1oPtv6i6pLppmpfbqzdXT99/x3Fa2V9s7Y3to2e33XxeawjfsJ/7jZ2G7/9uu7mwNYZePs3Lz03zcvj02xHe9zNav/u/o/pI9cetZ92ernP/VPWXWi+xcqSjzfeS6t9M8/Jvp3l5d+s3B0/UfwMPN/cnV/97de00Lx+p3lk9dbfdnNnpM/ejvee1frP/a617gQ67pHrnNC8fnOblptZ/E3/tpI/ys/SY7jKb5uV1R3z4ytalxF9vXXZ7uCtfn46OdpXv09I0L7dUt1TttpuvqL6x9buj7+nBa3Pcu7+9oPpPj/UYT7LrWncT/qvWn/134f7+I+f+5N128+TTbLfpxa3h/x277eaN1fury1vnf1q/79O83L3bbq5u3R3+6davc69pvSTJaTf3aV7+tLprt9186UMeOtp7feT9hx97Qn4NfLi5T/PyR627ig/vNr6ievs0L5/Zf6PwhJ/70d7z3Xbz16pvb10V/N0jHrqw9RuEwx6X8z7pK0S77eb63XZzz/7X1+/v27X+hfmu/R/swxnp9LfTfq677eaLW79TetP+O6OHc1r9Oez/vm9aL1L6SE6rubceO3OodVfJt7SuCv7YUbY9rea+227+YuvxQ69o3UXwOdXfO8rmp9XcH4Wjzfd0/XN4Y/Vfd+yvAafF3HfbzedWP1Vdub80zyN53M37sdhl9kPVV+9/3brbbv5W6x/ad+yvV1RHXPl6//GRV74+3Yw016p228351S+1rgZeub/77uq8/e8P/wyf0+3P4ZrWA+f/Y/X2/X0f2t+et789t3XF8FOP7dBOuruqT03zcv00L/++df7Paoz3/euqM/dzv7X1eJJvaoy5H+lo8z3y/sOPnXZ/Drvt5trWbwa+YZqXj+3vPp3n/q2tK0M/vttu7qnOr67fbTcv6gky75O+y2xfindX7babS6qfaf1u6V/vtpvzWpeUj3Xl69PNSHM9fIDdu6qPtu4mPXd/FdNbqkt3282vVi+u3n/EF43TxWXV5+1//z+0Hkz95a0/yuby3Xbz4dYzNH7lVAzuJPv11qvRX9G662jTevzY53X6v++/W/2F3Xbz7a0Xrn1+67/7Ozv9536kh/03vttubqm+f7fd/PXWH/L9rNbdqaeN/Zm1L289RODj+//rPtn6Z3K6zv0d1Zcd8fF7qx+tfr51xfgf7s+wfVb1X7Re0Plx5bE+qPqHWw84+8nWA64+UV3/CFe+Pq2MNNe9b2s9iPhvtB4rcfh9v7L1798Hque0/pmcVqZ5+cNpXm7b/3DDu/b33dZ6yu0zqg+27kf/wVM1xpNlmpd7W79jfGnrgaMfa33PR3jf31d9f+tZVu+r/qB1tfC0n/tDHG2+72z96QU/V03VP5zm5d+digGeRNdVT2n9xuDw17wXdRrPfZqXPzr89W7/de7Pqrv3x1T9VOvcf601ki6f5uWjp260D8+VqgGA4f1/msq2trgAzMcAAAAASUVORK5CYII=);}
span.minigraph-f23::before { content: url(data:image/png;base64,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);}
span.detail_graph-f23-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f23-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f23-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f23-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f24::before { content: url(data:image/png;base64,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);}
span.detail_graph-f24-::before { content: url(data:image/png;base64,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);}
span.minigraph-f25::before { content: url(data:image/png;base64,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);}
span.detail_graph-f25-::before { content: url(data:image/png;base64,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);}
span.minigraph-f26::before { content: url(data:image/png;base64,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);}
span.detail_graph-f26-::before { content: url(data:image/png;base64,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);}
span.minigraph-f28::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAk4AAAB4CAYAAAAE5X1sAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAKj0lEQVR4nO3da4weVQHG8X8vWqhsKa2tGuuVgAEUqeESRFoTRcFIMyIHPSjScC0igkjAxgY/oNR6gygXBYoFQ4YwRqeiUG+kTQQRkBoUQYJSoCKUQi2tFBCyfjiz4e3apQfoe1v+vy/bnZl39+nsvjvPnnPm3TGDg4NIkiRp68Z3O4Ak9ZoYisOBRcBU4FrgROAc4ATgF0Asq7rjv3XGUJwJnAYMAL8F5gI7AEuA/YB7gePLqr4thmIWcDXwJHBoWdV3dTDnNUAoq3pMDMU7gcXA7sCfgLllVf89huII4PvA/cDBZVU/0qFsY4EvAccAd5dV/dEYihn0yDmMoTgO+AqwE3AD8Bl64GscQzENOBI4GjiqrOo7RzpvzfHnAscCzwHfK6t6YQzF9qTnz97A2WVVn9+uvO00ttsBJKmXxFBMBa4AFgL7AgcApwCheX9nYK8YilkxFCd0MNdBwFdJZWlv4N3AmcC3gWeAPYAbgSubh5zR7L8cmBdDsV0MxaUxFGPanHMOcFjLpsXAn5t8a4ELmu0LmuNuBo6MoXhtDMX57czW+A5wMvBFUimBHjmHzffeD4CvAXsCuzUZupovhmIAeAD4JDATGPr4W8wVQ3EI6TlzKPBp4JwYiv2AQ4CNwIGk8koMxekxFO/ZlnnbzeIkSZvbBxgHLC6r+h5gKTALeIo0OrKBNBL1LaDuYK5ngLPKqv5VWdV/A24HXgfMBn5UVvUDwKXAbs3owFjgn8C/mv/P14Eb2zlSFkMxCbiQphzFUGxHKpuLm3xLSOeSJt/9wBrS7MclwM/ala3JM51Umk4qq3ppWdWPN7t65RyOIY3QrG4+73+AZ3sg3ybgLUActn2kXLOBm8qqvqWs6htIxXlWk/dx0td9MIZiH+DDwMptnLetLE6StLnpwMaWi896YBrwu+bf/yVNQZxTVvWaToUqq3pFWdXnAcRQvAM4GLiqybuhJStN3otIxW4R8CAwo6zqJW2OuYg0hfib5v3pzdvWfBNjKCYC5wF3kkZ9BoD7motsO+1HKhifiKF4MIbi+ma6qSfOYVnVa4H5pOnhJ4BXk8pQV/OVVf3sCN/rI+Vq3T60bxrwS9JI6RrS6NQFwHHdmPZ+OSxOkrR1g2VVHwNMBH5Imm74WHPxPamTQWIo3gBcB1zyAkVjsKzq64AppGmUACyLoVgVQ/HzGIoJbcj1PqAATs84fLCs6sXAJOBDwEHA6hiKB2IoLt/W2VrsBAySppXmkEbsvvkCGTt9Dt9IWt90MmmK+FXAF3olX6aRStBgWdUbyqqeCbwGmAyUwFUxFPfEUOzfqYAvl8VJkja3FpjULCKGdHEf+m379aS1MVcC7yJNXZzdqWAxFFOAXwO/b3IM5Z3ckhWavGVVP0calVhAWnMyVPI+0oZ4C0hTmP8gLViGtGCYYfk2llW9qeVxl5EW359FOp97xlDMbEM+SOdlU1nVF5VVvbLJuSe9cw4PAMY1+W4DfkJaF9Qr+YYbKVfr9qF9rSNWBzfbxgB3Ad+gWfPUDyxOkrS5W0jrSubFUOxCGplY3uw7m3Rx2kRac/QYzy+UbasYih2A60nrWU4jlbvJwArg6BiKNwPHAX8pq/qx5jGzgUfKql5GmqL6N+kOrHFtiDgX2BXYC/h8s21X4Dbg+BiKN5HuyFre8phPAdeWVX0HaaRiHWktWTvyQSqcT8dQnBJD8VbSCNnt9M45vBvYPobiiBiKt5FG4v7aQ/mGGynXCuC9MRT7x1C8n1ROlzd5x5NG0T7bZHyS9HXvRN5twuIkSS2adSZzSXcs3QrcBFzc7D6hrOqbSRfbR0gl67sdivZx0kLrDwKPki4260gjT2NJF9gDm+xAWhdFKnqQ1spcD8wAlm3rcGVVP1xW9aqyqlfx/GjIKtJ6sN1JIwvTgFNbHnMF6c4sgPOBP5AWD9++rfM1n2896U6+E0kLlh8jnb9eOYd3AJ8jnZM7SOuWFvRKvi0YKdd1pOfFUtJ03JfLqv5jk/dZ4ANlVa9r9n2Q9LIUnXoevWxjfAFMSZKkPI44SZIkZfKVwyUpQ3OX0nxgYVnVT3c7z5b0esZezwe9n7HX80F/ZHw5HHGSpDwTSLeKd+s27xy9nrHX80HvZ+z1fNAfGV8y1zhJUobmVbHXkxbebtjK4d0yQHrV6V7N2Ov5oPcz9no+eHEZB4CH+ulFMJ2qk6Q8U5q3q7uaIk+vZ+z1fND7GXs9H+RnnEH60zF9weIkSXmG/q5ZL/+mL/WToZGpvno+WZwk6cXZUFb1E90OIfW7GIpuR3hJXBwuSZKUyREnSXoRfjzzwvVXL3p86wdKr2CDZ03pyJ8i6gZHnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjJZnCRJkjKN73YASWqXGIrDgUXAVOBa4MSyqp9s2T8ZuAw4CHgYOLWs6mVdiCqpTzjiJGlUiqGYClwBLAT2BQ4AThl22Hzg7cBewBLgqhiKiZ1LKanfWJwkjVb7AOOAxWVV3wMsBWYNO2Y2UJVVfR9wETAF2KOjKSX1FafqJI1W04GNZVUPNu+vB6Zt4ZgNAGVVr4+hYPgxMRQTgAnAQDvDSuoPjjhJeiUZ3Poh/3fMfFLpWr3t40jqNxYnSaPVWmBSDMXQz7lJwJotHDMZIIZiUrNt+DELgR2BGe2JKamfWJwkjVa3AM8C82IodgHmAMtjKMa1HLMCOCKGYmdgHvAocGfrBymr+umyqp+gmdKT9MpmcZI0KpVVvRaYC5wB3ArcBFwM/DSG4vTmsHOBe4GVwLHAUWVVP9X5tJL6hYvDJY1aZVVfA1wzbPOclv3rgMM6GkpSX3PESZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKZPFSZIkKdP4bgeQpH5y+MqTdyyr+olu55DUHY44SZIkZbI4SZIkZXKqTpJenIEYim5nkEaDgW4HeCksTpKUZ+iH/OquppBGnwGgb9YNWpwkKc9DwAxgQ7eDSKPIAOm51TfGDA4OdjuDJElSX3BxuCRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUiaLkyRJUqb/ASs8L4UaLi6hAAAAAElFTkSuQmCC);}
span.detail_graph-f28-::before { content: url(data:image/png;base64,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);}
span.minigraph-f29::before { content: url(data:image/png;base64,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);}
span.detail_graph-f29-::before { content: url(data:image/png;base64,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);}
span.association-graph-source::before { content: url(data:image/png;base64,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);}
span.association-graph-compare::before { content: url(data:image/png;base64,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);}
span.graph-legend { content: url(data:image/png;base64,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);}
</style>
<script>
g_height = 5180;
g_scale = 1.0;
</script>
</head>
<body>
<div class="page-root">
<!-- TOP HEADER -->
<!-- ALL SUMMARY TABS -->
<div class="page-column-main" id="col1" style="transform: scale(1.0);transform-origin: 0 0;">
<!-- DF Summary -->
<!-- ASSOCIATIONS (VERTICAL ONLY) -->
<!-- ALL SUMMARIES -->
<div class="container-feature-summary" id="summary-df" data-detail-div="detail-df">
<div class="pos-dataframe-summary text-label">
<span class="top-header"></span>
<div class="pos-dataframe-summary-title-source text-dataframe-title color-source">DataFrame</div>
<div class="pos-dataframe-summary-title-compare-none text-dataframe-title-small color-title-disabled">NO COMPARISON TARGET</div>
<div class="pos-dataframe-summary-rows">
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">164078</div>
<div class="pos-df-summary-center">ROWS</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row">
<div class="pos-df-summary-source color-source">0</div>
<div class="pos-df-summary-center">DUPLICATES</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">38.2 MB</div>
<div class="pos-df-summary-center">RAM</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row row">
<div class="pos-df-summary-source color-source">
30
</div>
<div class="pos-df-summary-center">FEATURES</div>
<div class="pos-df-summary-compare color-compare">
</div>
</div>
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">5</div>
<div class="pos-df-summary-center">CATEGORICAL</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row ">
<div class="pos-df-summary-source color-source">24</div>
<div class="pos-df-summary-center">NUMERICAL</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">1</div>
<div class="pos-df-summary-center">TEXT</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<button class="button-assoc color-source button-border-source size-df-summary-button pos-df-summary-button-assoc-source" id="button-summary-associations-source"
data-detail-div="df-assoc-source">ASSOCIATIONS</button >
</div>
</div>
</div>
<div class="pos-logo-group">
<div class="pos-logo im-logo"></div>
<div class="pos-credits text-credits">
<span class="text-version">2.3.1<br>
<a href="https://github.com/fbdesignpro/sweetviz">Get updates, docs & report issues here</a></span><br>
Created & maintained by <a href="https://www.fbdesignpro.com">Francois Bertrand</a> <br>
Graphic design by <a href="https://www.fbdesignpro.com" data-reach="Jeff is working on his contact info :)">Jean-Francois Hains</a>
</div>
</div>
<div class="page-all-summaries">
<span class="graph-legend" style="left: 391px;position: absolute;top: 5px;"></span>
<!-- TARGET Summary -->
<!-- FEATURE Summaries -->
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f0"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
<div class="selector selector__bottom" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
<div class="selector selector__top" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
<span class="bg-tab-summary" style="z-index: -20000"></span>
<span class="bg-tab-summary-rollover" id="rollover-f0" style="z-index: -19999"></span>
<div class="summary-number"
>
1
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 0</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
141,774
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(86%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">43,590</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">28,169</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">13,732</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">11,038</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">10,460</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">5,544</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-7,383</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-8,111</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">51,701</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">8,188</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">11,158</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">124.5M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.248</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.137</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">1.7B</div>
</div>
</div>
<span class="minigraph-f0 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f1"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
<div class="selector selector__bottom" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
<div class="selector selector__top" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
<span class="bg-tab-summary" style="z-index: -19998"></span>
<span class="bg-tab-summary-rollover" id="rollover-f1" style="z-index: -19997"></span>
<div class="summary-number"
>
2
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 1</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
138,587
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(84%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">41,605</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">27,170</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">12,159</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">4,133</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">1,576</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-5,650</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-16,471</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-17,778</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">59,382</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">17,809</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">11,827</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">139.9M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.580</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.158</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">678.2M</div>
</div>
</div>
<span class="minigraph-f1 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f2"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
<div class="selector selector__bottom" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
<div class="selector selector__top" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
<span class="bg-tab-summary" style="z-index: -19996"></span>
<span class="bg-tab-summary-rollover" id="rollover-f2" style="z-index: -19995"></span>
<div class="summary-number"
>
3
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 2</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
146,487
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(89%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">-20,640</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-38,526</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-46,276</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-52,122</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-52,670</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-59,080</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-66,149</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-69,220</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">48,579</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">12,804</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">9,190</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">84.5M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.960</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.104</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-8.6B</div>
</div>
</div>
<span class="minigraph-f2 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f3"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
<div class="selector selector__bottom" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
<div class="selector selector__top" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
<span class="bg-tab-summary" style="z-index: -19994"></span>
<span class="bg-tab-summary-rollover" id="rollover-f3" style="z-index: -19993"></span>
<div class="summary-number"
>
4
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 3</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
151,145
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(92%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">13,753</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-20,484</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-30,159</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-39,980</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-40,840</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-53,613</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-60,769</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-62,181</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">75,934</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">23,454</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">14,471</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">209.4M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.573</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.322</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-6.7B</div>
</div>
</div>
<span class="minigraph-f3 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f4"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
<div class="selector selector__bottom" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
<div class="selector selector__top" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
<span class="bg-tab-summary" style="z-index: -19992"></span>
<span class="bg-tab-summary-rollover" id="rollover-f4" style="z-index: -19991"></span>
<div class="summary-number"
>
5
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 4</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
152,609
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(93%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">18,254</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-13,236</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-22,766</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-38,254</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-41,146</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-52,145</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-55,419</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-56,658</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">74,912</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">29,379</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">15,998</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">255.9M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">0.237</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.963</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-6.3B</div>
</div>
</div>
<span class="minigraph-f4 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f5"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
<div class="selector selector__bottom" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
<div class="selector selector__top" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
<span class="bg-tab-summary" style="z-index: -19990"></span>
<span class="bg-tab-summary-rollover" id="rollover-f5" style="z-index: -19989"></span>
<div class="summary-number"
>
6
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 5</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
154,359
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(94%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">23,473</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">4,323</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-10,536</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-24,459</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-27,379</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-40,413</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-51,580</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-54,540</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">78,013</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">29,876</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">17,889</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">320.0M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-1.04</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.096</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-4.0B</div>
</div>
</div>
<span class="minigraph-f5 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f6"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
<div class="selector selector__bottom" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
<div class="selector selector__top" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
<span class="bg-tab-summary" style="z-index: -19988"></span>
<span class="bg-tab-summary-rollover" id="rollover-f6" style="z-index: -19987"></span>
<div class="summary-number"
>
7
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 6</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
146,497
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(89%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">-18,711</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-32,901</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-43,553</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-50,108</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-50,206</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-58,975</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-62,903</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-65,151</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">46,440</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">15,423</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">8,987</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">80.8M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.735</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.272</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-8.2B</div>
</div>
</div>
<span class="minigraph-f6 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f7"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
<div class="selector selector__bottom" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
<div class="selector selector__top" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
<span class="bg-tab-summary" style="z-index: -19986"></span>
<span class="bg-tab-summary-rollover" id="rollover-f7" style="z-index: -19985"></span>
<div class="summary-number"
>
8
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 7</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
144,386
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(88%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc">
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">25,510</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-7,606</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-27,162</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-34,125</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-34,527</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-38,687</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-61,481</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-62,820</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">88,331</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">11,525</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">15,578</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">242.7M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.237</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">-0.158</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-5.7B</div>
</div>
</div>
<span class="minigraph-f7 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f8"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div>
<div class="selector selector__bottom" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div>
<div class="selector selector__top" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div>
<span class="bg-tab-summary" style="z-index: -19984"></span>
<span class="bg-tab-summary-rollover" id="rollover-f8" style="z-index: -19983"></span>
<div class="summary-number"
>
9
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 8</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
140,843
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(86%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">38,562</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">4,629</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">1,019</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-14,772</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-14,773</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-26,727</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-38,151</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-38,881</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">77,443</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">27,747</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">15,662</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">245.3M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-1.36</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">-0.142</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-2.4B</div>
</div>
</div>
<span class="minigraph-f8 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f9"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div>
<div class="selector selector__bottom" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div>
<div class="selector selector__top" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div>
<span class="bg-tab-summary" style="z-index: -19982"></span>
<span class="bg-tab-summary-rollover" id="rollover-f9" style="z-index: -19981"></span>
<div class="summary-number"
>
10
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 9</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
141,473
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(86%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-14,948</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-26,085</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-34,187</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-34,275</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-42,490</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-50,664</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-51,352</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">51,352</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">16,404</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">11,497</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">132.2M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.725</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.249</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-5.6B</div>
</div>
</div>
<span class="minigraph-f9 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f10"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div>
<div class="selector selector__bottom" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div>
<div class="selector selector__top" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div>
<span class="bg-tab-summary" style="z-index: -19980"></span>
<span class="bg-tab-summary-rollover" id="rollover-f10" style="z-index: -19979"></span>
<div class="summary-number"
>
11
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 10</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
143,181
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(87%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">16,184</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-29,751</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-36,124</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-39,497</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-40,251</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-46,884</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-56,961</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-58,238</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">74,421</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">10,760</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">13,748</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">189.0M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">6.97</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">2.15</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-6.6B</div>
</div>
</div>
<span class="minigraph-f10 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f11"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div>
<div class="selector selector__bottom" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div>
<div class="selector selector__top" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div>
<span class="bg-tab-summary" style="z-index: -19978"></span>
<span class="bg-tab-summary-rollover" id="rollover-f11" style="z-index: -19977"></span>
<div class="summary-number"
>
12
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 11</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
142,624
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(87%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">30,549</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">10,430</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-530</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-13,335</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-16,098</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-34,945</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-42,426</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-43,083</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">73,632</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">34,415</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">18,538</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">343.6M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-1.07</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.048</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-2.6B</div>
</div>
</div>
<span class="minigraph-f11 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f12"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div>
<div class="selector selector__bottom" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div>
<div class="selector selector__top" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div>
<span class="bg-tab-summary" style="z-index: -19976"></span>
<span class="bg-tab-summary-rollover" id="rollover-f12" style="z-index: -19975"></span>
<div class="summary-number"
>
13
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 12</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
147,246
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(90%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
274
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">98k</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">21k</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">15k</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-9k</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-10k</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-33k</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-40k</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-41k</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">140k</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">47,519</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">22,096</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">488.2M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-1.23</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.019</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-1.6B</div>
</div>
</div>
<span class="minigraph-f12 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f13"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div>
<div class="selector selector__bottom" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div>
<div class="selector selector__top" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div>
<span class="bg-tab-summary" style="z-index: -19974"></span>
<span class="bg-tab-summary-rollover" id="rollover-f13" style="z-index: -19973"></span>
<div class="summary-number"
>
14
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 13</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
151,703
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(92%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">43,940</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">10,352</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-8,014</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-18,500</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-19,681</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-33,466</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-50,599</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-51,562</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">95,502</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">25,452</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">20,372</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">415.0M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.524</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.133</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-3.2B</div>
</div>
</div>
<span class="minigraph-f13 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f14"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div>
<div class="selector selector__bottom" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div>
<div class="selector selector__top" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div>
<span class="bg-tab-summary" style="z-index: -19972"></span>
<span class="bg-tab-summary-rollover" id="rollover-f14" style="z-index: -19971"></span>
<div class="summary-number"
>
15
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 14</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
149,057
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(91%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">4,969</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-9,925</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-16,571</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-30,499</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-33,477</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-42,262</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-47,129</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-47,825</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">52,794</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">25,691</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">13,238</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">175.2M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-1.35</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.299</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-5.0B</div>
</div>
</div>
<span class="minigraph-f14 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f15"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div>
<div class="selector selector__bottom" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div>
<div class="selector selector__top" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div>
<span class="bg-tab-summary" style="z-index: -19970"></span>
<span class="bg-tab-summary-rollover" id="rollover-f15" style="z-index: -19969"></span>
<div class="summary-number"
>
16
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">EXG Channel 15</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
153,095
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(93%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">-38,623</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">-48,460</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">-56,972</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">-57,035</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-69,720</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-74,580</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-77,309</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">77,309</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">21,260</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">12,005</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">144.1M</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-1.19</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.043</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">-9.4B</div>
</div>
</div>
<span class="minigraph-f15 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f16"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div>
<div class="selector selector__bottom" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div>
<div class="selector selector__top" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div>
<span class="bg-tab-summary" style="z-index: -19968"></span>
<span class="bg-tab-summary-rollover" id="rollover-f16" style="z-index: -19967"></span>
<div class="summary-number"
>
17
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Accel Channel 0</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
9,127
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(6%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
326
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">0.198</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">0.082</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0.034</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">0.019</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0.013</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">-0.004</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-0.034</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-0.174</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">0.372</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.038</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">0.042</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">0.002</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">6.03</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">1.89</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">3,117</div>
</div>
</div>
<span class="minigraph-f16 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f17"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div>
<div class="selector selector__bottom" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div>
<div class="selector selector__top" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div>
<span class="bg-tab-summary" style="z-index: -19966"></span>
<span class="bg-tab-summary-rollover" id="rollover-f17" style="z-index: -19965"></span>
<div class="summary-number"
>
18
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Accel Channel 1</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
6,796
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(4%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
11
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">1.10</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">1.03</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">1.03</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">1.02</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">1.02</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">1.01</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">1.00</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">0.00</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">1.10</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.014</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">0.016</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">2.56e-4</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">1,197</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">-21.5</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">167k</div>
</div>
</div>
<span class="minigraph-f17 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f18"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div>
<div class="selector selector__bottom" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div>
<div class="selector selector__top" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div>
<span class="bg-tab-summary" style="z-index: -19964"></span>
<span class="bg-tab-summary-rollover" id="rollover-f18" style="z-index: -19963"></span>
<div class="summary-number"
>
19
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Accel Channel 2</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
10,562
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(6%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
791
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">0.478</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">0.270</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0.204</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">0.132</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0.126</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">0.059</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">-0.001</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">-0.134</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">0.612</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.145</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">0.089</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">0.008</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">-0.941</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">0.156</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">21,635</div>
</div>
</div>
<span class="minigraph-f18 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f19"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div>
<div class="selector selector__bottom" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div>
<div class="selector selector__top" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div>
<span class="bg-tab-summary" style="z-index: -19962"></span>
<span class="bg-tab-summary-rollover" id="rollover-f19" style="z-index: -19961"></span>
<div class="summary-number"
>
20
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Digital Channel 0 (D11)</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
25
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
145,355
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(89%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">159</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">127</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">8</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">159</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.00</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">30.1</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">908</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">11.9</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">3.72</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">1.3M</div>
</div>
</div>
<span class="minigraph-f19 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f20"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div>
<div class="selector selector__bottom" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div>
<div class="selector selector__top" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div>
<span class="bg-tab-summary" style="z-index: -19960"></span>
<span class="bg-tab-summary-rollover" id="rollover-f20" style="z-index: -19959"></span>
<div class="summary-number"
>
21
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Digital Channel 1 (D12)</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
23
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
134,025
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(82%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">120</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">96</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">12</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">120</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.00</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">30.3</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">917</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">4.58</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">2.44</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">2.0M</div>
</div>
</div>
<span class="minigraph-f20 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f21"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div>
<div class="selector selector__bottom" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div>
<div class="selector selector__top" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div>
<span class="bg-tab-summary" style="z-index: -19958"></span>
<span class="bg-tab-summary-rollover" id="rollover-f21" style="z-index: -19957"></span>
<div class="summary-number"
>
22
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Digital Channel 2 (D13)</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
23
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
131,506
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(80%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">19.5</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">16.0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0.0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">3.1</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0.0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">0.0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">0.0</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">0.0</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">19.5</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.00</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">6.28</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">39.4</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">0.294</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">1.51</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">513k</div>
</div>
</div>
<span class="minigraph-f21 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f22"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f22" data-rollover-span="rollover-f22"></div>
<div class="selector selector__bottom" data-detail-div="detail-f22" data-rollover-span="rollover-f22"></div>
<div class="selector selector__top" data-detail-div="detail-f22" data-rollover-span="rollover-f22"></div>
<span class="bg-tab-summary" style="z-index: -19956"></span>
<span class="bg-tab-summary-rollover" id="rollover-f22" style="z-index: -19955"></span>
<div class="summary-number"
>
23
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Digital Channel 3 (D17)</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
20
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
136,021
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(83%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">124</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">80</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">9</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">124</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.00</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">25.5</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">648</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">10.6</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">3.39</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">1.4M</div>
</div>
</div>
<span class="minigraph-f22 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f23"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f23" data-rollover-span="rollover-f23"></div>
<div class="selector selector__bottom" data-detail-div="detail-f23" data-rollover-span="rollover-f23"></div>
<div class="selector selector__top" data-detail-div="detail-f23" data-rollover-span="rollover-f23"></div>
<span class="bg-tab-summary" style="z-index: -19954"></span>
<span class="bg-tab-summary-rollover" id="rollover-f23" style="z-index: -19953"></span>
<div class="summary-number"
>
24
</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">Digital Channel 4 (D18)</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
28
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
<div class="text-value color-source pos-base-stats__source">
133,489
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(81%)
</div>
</div>
</div>
<div class="pos-summary-numeric-group1">
<div class="row-numeric-summary row-separator-bottom ">
<div class="text-label" style="position:absolute">MAX</div>
<div class="pos-summary-numeric-source text-value color-source">120</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">95%</div>
<div class="pos-summary-numeric-source text-value color-source">96</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q3</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">AVG</div>
<div class="pos-summary-numeric-source text-value color-source">12</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">MEDIAN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">Q1</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary ">
<div class="text-label" style="position:absolute">5%</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
<div class="row-numeric-summary row-separator-top ">
<div class="text-label" style="position:absolute">MIN</div>
<div class="pos-summary-numeric-source text-value color-source">0</div>
</div>
</div>
<div class="pos-summary-numeric-group2">
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">RANGE</div>
<div class="pos-summary-numeric-source text-value color-source">120</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">IQR</div>
<div class="pos-summary-numeric-source text-value color-source">0.00</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">STD</div>
<div class="pos-summary-numeric-source text-value color-source">29.4</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">VAR</div>
<div class="pos-summary-numeric-source text-value color-source">863</div>
</div>
<div class="row-numeric-summary">
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">KURT.</div>
<div class="pos-summary-numeric-source text-value color-source">4.37</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SKEW</div>
<div class="pos-summary-numeric-source text-value color-source">2.38</div>
</div>
<div class="row-numeric-summary">
<div class="text-label" style="position:absolute">SUM</div>
<div class="pos-summary-numeric-source text-value color-source">2.0M</div>
</div>
</div>
<span class="minigraph-f23 pos-minigraph-numeric"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f24"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f24" data-rollover-span="rollover-f24"></div>
<div class="selector selector__bottom" data-detail-div="detail-f24" data-rollover-span="rollover-f24"></div>
<div class="selector selector__top" data-detail-div="detail-f24" data-rollover-span="rollover-f24"></div>
<span class="bg-tab-summary" style="z-index: -19952"></span>
<span class="bg-tab-summary-rollover" id="rollover-f24" style="z-index: -19951"></span>
<div class="summary-number"
>
25
</div>
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab color-normal ">Analog Channel 0</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
1
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f24 pos-minigraph-cat"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f25"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f25" data-rollover-span="rollover-f25"></div>
<div class="selector selector__bottom" data-detail-div="detail-f25" data-rollover-span="rollover-f25"></div>
<div class="selector selector__top" data-detail-div="detail-f25" data-rollover-span="rollover-f25"></div>
<span class="bg-tab-summary" style="z-index: -19950"></span>
<span class="bg-tab-summary-rollover" id="rollover-f25" style="z-index: -19949"></span>
<div class="summary-number"
>
26
</div>
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab color-normal ">Analog Channel 1</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
1
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f25 pos-minigraph-cat"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f26"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f26" data-rollover-span="rollover-f26"></div>
<div class="selector selector__bottom" data-detail-div="detail-f26" data-rollover-span="rollover-f26"></div>
<div class="selector selector__top" data-detail-div="detail-f26" data-rollover-span="rollover-f26"></div>
<span class="bg-tab-summary" style="z-index: -19948"></span>
<span class="bg-tab-summary-rollover" id="rollover-f26" style="z-index: -19947"></span>
<div class="summary-number"
>
27
</div>
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab color-normal ">Analog Channel 2</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
1
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f26 pos-minigraph-cat"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f27"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f27" data-rollover-span="rollover-f27"></div>
<div class="selector selector__bottom" data-detail-div="detail-f27" data-rollover-span="rollover-f27"></div>
<div class="selector selector__top" data-detail-div="detail-f27" data-rollover-span="rollover-f27"></div>
<span class="bg-tab-summary" style="z-index: -19946"></span>
<span class="bg-tab-summary-rollover" id="rollover-f27" style="z-index: -19945"></span>
<div class="summary-number"
>
28
</div>
<div class="pos-tab-image ic-text"></div>
<span class="text-title-tab color-normal">Timestamp</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
</div>
<div class="pos-summary-text">
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-27 17:31:42.443204641+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-28 19:35:05.055819988+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-28 19:35:03.610912800+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-28 19:35:03.610946417+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-28 19:35:03.610979557+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-28 19:35:03.611012697+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2025-01-28 19:35:03.611045599+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">164,071</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
(Other)
</div>
</div>
</div>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f28"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f28" data-rollover-span="rollover-f28"></div>
<div class="selector selector__bottom" data-detail-div="detail-f28" data-rollover-span="rollover-f28"></div>
<div class="selector selector__top" data-detail-div="detail-f28" data-rollover-span="rollover-f28"></div>
<span class="bg-tab-summary" style="z-index: -19944"></span>
<span class="bg-tab-summary-rollover" id="rollover-f28" style="z-index: -19943"></span>
<div class="summary-number"
>
29
</div>
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab color-normal ">Marker Channel</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
1
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f28 pos-minigraph-cat"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
<div class="pos-feature-summary" style="top: 0.0px">
<div class="container-feature-summary" id="summary-f29"
style="top: 0px">
<div class="selector selector__body" data-detail-div="detail-f29" data-rollover-span="rollover-f29"></div>
<div class="selector selector__bottom" data-detail-div="detail-f29" data-rollover-span="rollover-f29"></div>
<div class="selector selector__top" data-detail-div="detail-f29" data-rollover-span="rollover-f29"></div>
<span class="bg-tab-summary" style="z-index: -19942"></span>
<span class="bg-tab-summary-rollover" id="rollover-f29" style="z-index: -19941"></span>
<div class="summary-number"
>
30
</div>
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab color-normal ">Movement</span>
<div class="pos-base-stats">
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
<div class="text-value color-source pos-base-stats__source">
164,078
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(100%)
</div>
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
<div class="base-stats-row">
</div>
<div class="base-stats-row">
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
<div class="text-distinct color-source pos-base-stats__source">
3
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f29 pos-minigraph-cat"></span>
</div>
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
</div>
</div>
</div>
<!-- ALL DETAIL WINDOWS (WIDESCREEN ONLY) -->
<div class="page-column-detail" id="col2">
<div class="isHidden container-feature-detail" id="df-assoc-source"Yellow
>
<div class="container-feature-detail__offset"
>
<span class="bg-tab-detail-wide"></span>
<span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
<div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;">
<span class="color-source">[Only including dataset "DataFrame"]</span><br>
&#9632; <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
(i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP).
<br><br>&#8226; <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
</div>
<span class="association-graph-source pos-detail-assoc-graph"></span>
</div>
</div>
<div class="isHidden container-feature-detail" id="df-assoc-compare"Yellow
>
<div class="container-feature-detail__offset"
>
<span class="bg-tab-detail-wide"></span>
<span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
<div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;">
<span class="color-compare">[Only including dataset "None"]</span><br>
&#9632; <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
(i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP).
<br><br>&#8226; <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
</div>
<span class="association-graph-compare pos-detail-assoc-graph"></span>
</div>
</div>
<!-- TARGET Detail -->
<!-- FEATURE Details -->
<div class="isHidden container-feature-detail"
id="detail-f0" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 0</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f0"
data-new_class="detail_graph-f0-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f0"
data-new_class="detail_graph-f0-5">5 </button>
<button class="button-bin" data-target="detail_graph-f0"
data-new_class="detail_graph-f0-15">15 </button>
<button class="button-bin" data-target="detail_graph-f0"
data-new_class="detail_graph-f0-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f0-0
pos-detail-num-graph" id="detail_graph-f0"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f0">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 0</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.93</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.88</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.87</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.85</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.85</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.84</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.76</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.58</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11100.591552328056</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9045.683925829402</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12245.827882984626</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12450.256937772863</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9017.230155137797</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11066.28162458916</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11155.86741636603</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12076.446363502308</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11947.610908461918</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11142.255203992749</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8851.648432212882</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12096.026491645158</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6761.469752963752</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8906.745482295213</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8952.365392728496</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8110.50928956381</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8090.88445793205</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8088.492821275333</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8084.98359739585</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8072.779544923252</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8067.21396055388</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8064.464695985877</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8054.49581795881</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8050.360745234579</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8049.556082434187</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8049.399620223001</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8043.409352708978</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8040.660088140976</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8036.904995072484</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8032.144073503504</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43589.99205708409</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43151.16025819305</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43061.82033560519</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42843.75671669921</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42577.99447512561</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42424.214473273096</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42032.14252378256</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41934.33129004613</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41896.84741459458</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41371.35790245031</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41232.0841827493</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41105.59566087672</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41055.103070152174</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40812.85486374555</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40635.20319881478</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f1" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 1</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f1"
data-new_class="detail_graph-f1-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f1"
data-new_class="detail_graph-f1-5">5 </button>
<button class="button-bin" data-target="detail_graph-f1"
data-new_class="detail_graph-f1-15">15 </button>
<button class="button-bin" data-target="detail_graph-f1"
data-new_class="detail_graph-f1-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f1-0
pos-detail-num-graph" id="detail_graph-f1"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f1">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 1</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.71</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.65</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.61</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.60</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.60</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.49</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.43</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.42</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.32</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.26</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.25</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.12</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5837.58274764809</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9121.590449999623</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9062.51478940425</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9192.020796778295</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9066.403992939471</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-1521.706762517305</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9100.222182300353</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9031.334105889096</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-1691.9376482889234</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9383.418784549092</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6031.238261608871</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5995.453118735924</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-1658.9017699839796</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9009.965838189824</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-1612.4771967503068</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17777.728173461936</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17774.621280982647</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17772.47551351494</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17753.163606305552</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17752.694219671994</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17749.341458003695</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17748.782664392314</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17747.486263213905</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17741.04896081078</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17739.953725332467</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17736.55626017526</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17735.70689388596</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17734.946934574476</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17734.522251429826</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17731.951800817467</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41604.665411074806</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41474.75707230056</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41450.34896735537</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41430.45591479015</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41402.13625456528</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41322.40758209319</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41311.83520696583</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41282.241497307004</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41280.69922693959</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41270.97621810153</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41266.17059304364</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41265.29887500988</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41213.42047612911</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41160.02215862538</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41139.99499559343</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f2" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 2</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f2"
data-new_class="detail_graph-f2-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f2"
data-new_class="detail_graph-f2-5">5 </button>
<button class="button-bin" data-target="detail_graph-f2"
data-new_class="detail_graph-f2-15">15 </button>
<button class="button-bin" data-target="detail_graph-f2"
data-new_class="detail_graph-f2-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f2-0
pos-detail-num-graph" id="detail_graph-f2"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f2">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 2</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.42</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.41</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.40</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.39</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.39</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.39</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.39</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.38</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.28</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-red">-0.17</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.15</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.09</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-46361.80953524227</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39703.828359106585</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39309.11890377032</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51332.50222593573</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-48730.02156377096</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51442.42810516693</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51365.78397342968</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51388.78391847419</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65570.83166489979</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-48262.15484883248</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39465.581114957466</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39495.39834206085</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39742.09454561407</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51342.62756617399</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39778.95257222087</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69219.66454025084</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69219.08339489502</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69217.11644138294</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69210.12034536843</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69205.24766507717</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69204.01831913213</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69201.3808132864</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69198.89976965186</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69198.29627255157</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69194.27295854961</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69193.64710970486</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69175.96687984072</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69173.329373995</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69167.71908613671</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-69164.0757517905</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20640.38314108648</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20720.357682747566</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20844.722788896896</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-22652.97891533124</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-23004.70596607995</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26819.83582017849</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-31981.144187586808</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33466.3505514086</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33472.58668811163</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33473.70427533439</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33474.1513102235</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33474.64304860152</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33479.247507959306</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33481.706199849395</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33483.092008005624</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f3" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 3</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f3"
data-new_class="detail_graph-f3-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f3"
data-new_class="detail_graph-f3-5">5 </button>
<button class="button-bin" data-target="detail_graph-f3"
data-new_class="detail_graph-f3-15">15 </button>
<button class="button-bin" data-target="detail_graph-f3"
data-new_class="detail_graph-f3-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f3-0
pos-detail-num-graph" id="detail_graph-f3"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f3">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 3</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.87</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.82</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.80</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.74</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.62</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.62</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.58</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.15</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-30455.190593623</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51662.70454677398</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-25398.30957630987</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33382.86678586803</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51910.54068929442</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39987.15907182206</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41498.11464525636</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52230.885890827885</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-25648.64911420931</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51715.34290496623</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-32596.95709907497</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20885.604129505653</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41440.46949630613</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41586.73931202165</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41444.47045856362</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62181.23432174139</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62179.78145835179</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62168.65028961305</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62167.30918494573</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62155.55216736224</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62151.21592893791</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62137.55901307571</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62137.31314388671</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62130.451158338925</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62130.13823391655</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62122.9633239464</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62120.63874252305</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62117.934181443954</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62116.66013201</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62110.82632670717</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13752.715438928062</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13741.450159722586</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13677.70298453605</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13665.051897174348</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13651.75260922344</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13594.17451550657</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13536.48466306742</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13345.69017239692</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13293.588256071598</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13219.201650524335</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13169.848998767018</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13027.758959264633</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13021.366360350414</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12872.481390533614</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12659.335155407804</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f4" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 4</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f4"
data-new_class="detail_graph-f4-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f4"
data-new_class="detail_graph-f4-5">5 </button>
<button class="button-bin" data-target="detail_graph-f4"
data-new_class="detail_graph-f4-15">15 </button>
<button class="button-bin" data-target="detail_graph-f4"
data-new_class="detail_graph-f4-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f4-0
pos-detail-num-graph" id="detail_graph-f4"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f4">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 4</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.77</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.71</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.70</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.62</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.62</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.53</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.53</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.49</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.43</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.14</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52955.708260024585</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-35683.86711881961</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-14749.782055590398</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54970.53920871487</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-19072.92235766916</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-53758.87349353713</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54910.56947834128</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-53789.2495142519</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47077.64650316793</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47807.05097997797</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36955.03317773738</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54129.7783410285</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54524.55485159813</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-37061.51688832246</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36488.70873316631</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56658.34178427956</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56627.83165309807</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56619.65091462743</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56617.616905882</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56612.18543197936</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56605.2116877093</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56603.13297547495</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56588.179658434354</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56584.93865548833</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56581.31767288657</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56580.46830659727</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56570.34296635902</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56567.101963413</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56561.983413932736</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56557.69187899731</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">18253.7085716377</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">18155.047971611973</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">18083.231816677075</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17921.248724609464</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17878.06515432181</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17792.61443526917</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17411.450137072818</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17372.312232531578</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17015.89131544725</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16967.96917533507</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16878.472790536023</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16829.56717366781</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16706.632579163623</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16674.043735747782</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16562.687344871443</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f5" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 5</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f5"
data-new_class="detail_graph-f5-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f5"
data-new_class="detail_graph-f5-5">5 </button>
<button class="button-bin" data-target="detail_graph-f5"
data-new_class="detail_graph-f5-15">15 </button>
<button class="button-bin" data-target="detail_graph-f5"
data-new_class="detail_graph-f5-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f5-0
pos-detail-num-graph" id="detail_graph-f5"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f5">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 5</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.84</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.78</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.70</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.68</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.67</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.60</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.50</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-19581.11161960502</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-29561.970181700013</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-29319.833734015672</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28581.80148384589</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-19507.01558673568</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28597.604167175792</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-29799.14454211528</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3887.951837533932</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-40306.811369277406</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-30623.81215379383</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2699.219012167336</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1855.910045613056</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-29995.45991366624</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-29939.133517638867</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28413.17992367505</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54540.06696225012</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54524.48779636477</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54506.47229033379</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54495.83285997306</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54480.29839757662</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54466.23915031424</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54457.54432172112</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54395.49587911319</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54369.16552414483</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54361.70004149676</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54355.5309600271</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54344.84682617746</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54343.59512848796</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54320.52812821008</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-54317.91297410882</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">23472.70679148517</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">22465.49248284012</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">20502.472877797238</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">19485.51320856967</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17828.109005464197</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17819.235362915442</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16331.771472903669</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15837.70851346356</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13955.915147771258</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13532.841328721206</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12321.086206565644</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12026.110234988955</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11910.886992321848</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11905.2096492302</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11839.651982742786</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f6" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 6</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f6"
data-new_class="detail_graph-f6-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f6"
data-new_class="detail_graph-f6-5">5 </button>
<button class="button-bin" data-target="detail_graph-f6"
data-new_class="detail_graph-f6-15">15 </button>
<button class="button-bin" data-target="detail_graph-f6"
data-new_class="detail_graph-f6-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f6-0
pos-detail-num-graph" id="detail_graph-f6"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f6">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 6</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.70</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.63</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.60</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.52</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.51</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.45</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.43</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.19</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43902.82707248057</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43955.577189395095</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52783.04103410734</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52854.7230785755</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43968.720015134815</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52952.17668440064</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52956.49057108052</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52966.34769038531</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43907.52093881618</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-53032.6206126953</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-42626.117780937886</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52968.02407121946</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43888.6560664959</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43797.863280518446</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43992.6810851909</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65150.59651739556</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65149.03189528369</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65145.85794757104</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65139.84532831256</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65132.17867996439</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65111.59272332105</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65099.567484804094</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65095.41006033541</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65077.774533960175</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65071.3595833015</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65066.66571696589</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65061.770684930176</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65061.122484340965</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65047.80084464561</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-65045.58802194453</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-18710.91350447101</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20105.12591661524</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20660.119731440514</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-23405.11511625232</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-23469.39873330578</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-24367.49182552002</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26392.492817937477</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26632.662312109747</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-27049.276477012216</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-27190.315984525205</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-27499.35120336428</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-27579.83983514784</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-27976.80681667409</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28135.32538835113</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28136.934713951912</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f7" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 7</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f7"
data-new_class="detail_graph-f7-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f7"
data-new_class="detail_graph-f7-5">5 </button>
<button class="button-bin" data-target="detail_graph-f7"
data-new_class="detail_graph-f7-15">15 </button>
<button class="button-bin" data-target="detail_graph-f7"
data-new_class="detail_graph-f7-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f7-0
pos-detail-num-graph" id="detail_graph-f7"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f7">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 7</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.88</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.85</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.82</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.78</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.74</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.71</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.64</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.63</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.63</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.11</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28314.206399226958</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28282.176349422494</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28272.36393360662</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28335.105280292664</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28274.64381154106</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28270.53109056128</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28287.96545123642</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-33779.45378773854</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28291.854654771647</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-7626.526966873046</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28278.063628442724</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28263.98202943588</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28324.041166787287</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28274.509701074327</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28275.671991786003</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62820.449509674254</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62791.25813141563</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62785.580788323976</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62770.336898605456</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62765.50892180311</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62755.13771237585</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62753.4613315417</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62752.2096338522</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62745.14648260433</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62742.01723838058</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62740.474968013164</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62739.87147091288</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62733.635334209845</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62732.96478187619</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-62730.46138649719</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25510.22476079759</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25485.101400029827</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25473.45614116861</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25458.07814098336</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25421.242466121017</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25419.275512608947</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25402.846980434297</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25389.435933761117</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25385.72554418153</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25351.415616442635</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25347.906392563156</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25336.05996800184</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25332.126060977705</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25331.50021213296</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25310.10959268923</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f8" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 8</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-5">5 </button>
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-15">15 </button>
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f8-0
pos-detail-num-graph" id="detail_graph-f8"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f8">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 8</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.91</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.85</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.76</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.62</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.61</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.52</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.49</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.37</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.33</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.16</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8508.660913546195</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8094.6842544894525</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26417.839696149797</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8709.066654332479</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-14849.336725394336</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26740.464775617693</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38165.00016033652</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38026.32993773579</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26842.85811696745</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38007.88974856016</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36337.45447843725</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38206.19442536765</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38229.440239601165</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-14862.524254622967</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26631.142393486785</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38881.284163151286</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38879.4289683615</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38859.51356405182</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38827.55056948073</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38783.562336392686</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38758.37192039155</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38724.0396409082</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38718.65287049447</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38701.822006919625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38699.43037026291</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38694.35652427156</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38682.48774796579</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38682.107768310045</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38676.81040487414</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-38676.385721729486</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38561.72127267376</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38437.914960135815</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38368.579848835456</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38361.49434584312</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38356.57696206295</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38227.87561748929</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38224.23228314308</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38203.35575382182</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38178.16533782069</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38132.61248262077</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38122.95652901608</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38111.91476725516</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38102.281165394925</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38097.00615370347</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">38063.92557190962</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f9" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 9</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-5">5 </button>
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-15">15 </button>
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f9-0
pos-detail-num-graph" id="detail_graph-f9"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f9">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 9</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.88</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.84</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.83</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.82</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.78</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.77</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.68</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.62</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.58</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.57</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.51</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-22069.66544028109</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-22020.335140268224</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-22090.720783557987</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26134.777204367783</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-50731.44146578806</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-42147.99161529441</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-42542.47755318613</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26026.795926904197</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26175.815007187728</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-25994.72117361083</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-42203.66981073259</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-26144.343750994656</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-50524.79958829875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-42526.58546287841</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36014.449419313605</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51352.01529884521</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51348.55077845464</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51346.62852843148</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51345.37683074198</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51302.707350576806</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51301.23213544276</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51295.9571237513</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51295.68890281784</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51294.7054260618</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51285.94354223532</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51282.993111967226</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51275.17000140787</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51271.70548101729</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51261.22251286775</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51258.13797213292</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-318.758227677134</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-320.3675532779161</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-323.4967975016591</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-326.44722776975965</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-353.8728182164214</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-354.1857426387957</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-357.1808763958069</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-363.21584739873975</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-367.8426585009883</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-374.5034783486698</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-375.91163824935416</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-378.7726615396335</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-381.5442778520916</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-390.37321691193785</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f10" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 10</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f10"
data-new_class="detail_graph-f10-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f10"
data-new_class="detail_graph-f10-5">5 </button>
<button class="button-bin" data-target="detail_graph-f10"
data-new_class="detail_graph-f10-15">15 </button>
<button class="button-bin" data-target="detail_graph-f10"
data-new_class="detail_graph-f10-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f10-0
pos-detail-num-graph" id="detail_graph-f10"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f10">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 10</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.67</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.53</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.50</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.44</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.43</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.38</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.32</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.21</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28378.735885469425</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28438.347987931727</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36581.62493486702</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28461.973781820987</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36554.02053046472</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36517.81070444712</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36697.13875021205</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-28341.9896175849</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-31098.04911590208</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-45618.54697686994</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36672.32831386665</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-36799.4873880729</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-45648.94534932916</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-45627.8676543078</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-45609.47216862108</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58237.91721319166</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58232.66455324466</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58230.18350961012</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58218.80647168237</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58217.75593969297</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58200.74626216248</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58200.07570982882</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58195.71711966004</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58192.386709736194</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58188.966892834535</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58183.7812881209</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58182.79781136487</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58180.00384330796</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58174.84059033878</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-58174.39355544968</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16183.579407164982</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16157.941956274744</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16143.52508110107</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16135.94783973072</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16128.996447205122</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16124.481394825149</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16115.76421448758</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16111.427976063247</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16110.310388840484</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16104.923618426756</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16101.57085675846</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16098.843943934911</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16078.70502218068</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16068.020888331044</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16061.762399883555</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f11" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 11</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f11"
data-new_class="detail_graph-f11-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f11"
data-new_class="detail_graph-f11-5">5 </button>
<button class="button-bin" data-target="detail_graph-f11"
data-new_class="detail_graph-f11-15">15 </button>
<button class="button-bin" data-target="detail_graph-f11"
data-new_class="detail_graph-f11-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f11-0
pos-detail-num-graph" id="detail_graph-f11"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f11">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 11</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.92</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.88</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.85</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.80</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.77</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.71</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.67</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.64</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.52</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-378.1691644393402</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-455.7297176992557</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-473.074671396574</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-296.7641111331119</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13463.081534276193</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-18479.304728425115</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-387.5345453661138</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-381.5442778520916</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13196.358167691013</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-363.8640479879437</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13300.517296852744</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-42567.8467831429</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-18485.540865128143</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13244.749694436752</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13326.333561698624</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43083.23330679337</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43081.44516723695</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43081.40046374804</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43080.171117803</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43075.18667878946</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43074.091443311154</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43060.70274838242</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43056.92530356948</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43036.24993994831</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43026.45987587689</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43025.52110260977</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43024.8058467872</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43016.22277691636</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43015.440465860425</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-43013.87584374855</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30548.66558893509</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30545.37988250016</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30500.76580056737</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30497.23422494343</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30484.09139920371</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30479.71045729047</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30473.60843105417</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30467.662867029056</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30467.37229435114</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30457.51517504635</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30452.106052888164</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30448.999160408875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30448.105090630663</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30425.75334617536</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30407.60372967765</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f12" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 12</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f12"
data-new_class="detail_graph-f12-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f12"
data-new_class="detail_graph-f12-5">5 </button>
<button class="button-bin" data-target="detail_graph-f12"
data-new_class="detail_graph-f12-15">15 </button>
<button class="button-bin" data-target="detail_graph-f12"
data-new_class="detail_graph-f12-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f12-0
pos-detail-num-graph" id="detail_graph-f12"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f12">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 12</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.91</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.84</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.84</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.73</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.70</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.65</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.58</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.43</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.37</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.32</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.31</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.10</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">274</div>
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">224.85854922038905</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">359.39369909688224</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">420.5704236710577</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5119.734122721448</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5163.364727898208</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9339.341144483227</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5151.49595159244</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5105.071378358767</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5131.066457160289</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5150.758344025415</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-40418.99477469859</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5148.8360940022585</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5066.313453473264</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-39864.04566336223</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41435.5297607815</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41435.37329857032</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41381.46089094412</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41369.86033557181</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41369.68152161616</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41359.77969882247</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41356.695158087634</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41351.59896035183</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41339.26079741249</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41332.53292233145</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41332.26470139798</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41297.75360795899</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41295.22786083554</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41292.07626486734</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41288.25411656549</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">98130.57310945669</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">97896.81856594307</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">97173.49376362488</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96535.2844041925</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96438.79192337894</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96192.67686518157</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">95853.69030877236</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">94870.74999460578</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">94468.97738802164</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">93936.60353858514</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">93112.60647924025</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">91466.80283150708</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">89733.55915946474</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">89057.15066875824</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88810.43211346056</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f13" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 13</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f13"
data-new_class="detail_graph-f13-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f13"
data-new_class="detail_graph-f13-5">5 </button>
<button class="button-bin" data-target="detail_graph-f13"
data-new_class="detail_graph-f13-15">15 </button>
<button class="button-bin" data-target="detail_graph-f13"
data-new_class="detail_graph-f13-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f13-0
pos-detail-num-graph" id="detail_graph-f13"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f13">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 13</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.93</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.92</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.85</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.84</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.83</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.82</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.54</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.17</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9512.634219245225</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9444.416695167623</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9627.589240978868</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9424.523642602402</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-50924.64994485974</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9661.653299528754</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9495.043396358897</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13143.31747809857</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9721.39951245779</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-13227.069464572603</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9626.873985156297</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-30731.92754172415</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8166.276891979801</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-12991.884409413864</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-48280.19270660791</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51562.16640021401</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51548.15185644053</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51531.70097252142</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51516.32297233617</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51511.60675425611</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51510.71268447789</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51506.71172222039</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51503.00133264081</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51502.21902158488</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51494.79824242571</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51492.27249530226</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51491.87016390207</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51490.886687146034</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51489.0538441007</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-51462.656433898985</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43939.8192095541</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43581.47604244662</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43499.17691936218</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42612.08088541996</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42487.96164845963</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42346.16218163517</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42094.83916697969</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41982.96868598088</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41958.78409848024</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41593.131910935874</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41569.48376530215</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41289.10348285479</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41251.26197949195</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41239.01322353044</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41205.977345225496</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f14" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 14</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f14"
data-new_class="detail_graph-f14-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f14"
data-new_class="detail_graph-f14-5">5 </button>
<button class="button-bin" data-target="detail_graph-f14"
data-new_class="detail_graph-f14-15">15 </button>
<button class="button-bin" data-target="detail_graph-f14"
data-new_class="detail_graph-f14-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f14-0
pos-detail-num-graph" id="detail_graph-f14"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f14">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 14</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.78</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.77</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.67</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.63</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.61</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.60</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.55</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.54</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.10</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17467.351849955543</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17034.93500172317</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17717.199649476963</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-46346.67740424602</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-46804.03879929052</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-46812.51011043908</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-11384.235189465904</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-23557.62106867088</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-11301.511383236812</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-17073.357650441845</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47307.22127046839</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47300.26987794279</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-46753.210932399146</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-46926.03462052759</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47104.647410469945</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47824.574747630926</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47804.39112238779</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47786.55443031245</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47780.65356977625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47768.89655219276</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47758.100659620846</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47756.20076134215</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47754.92671190819</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47749.18231358317</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47745.67308970369</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47739.63811870076</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47738.05114484443</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47737.93938612216</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47725.98120283856</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-47724.68480166016</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4969.105716837134</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4953.280681762777</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4939.713172878405</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4936.427466443475</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4933.588794897652</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4908.241916685333</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4868.746384232805</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4831.8660058815485</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4784.837935547583</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4736.513464035209</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4680.20941975229</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4598.334979812501</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4529.044572001048</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4452.802771663996</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4435.547224944499</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f15" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">EXG Channel 15</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f15"
data-new_class="detail_graph-f15-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f15"
data-new_class="detail_graph-f15-5">5 </button>
<button class="button-bin" data-target="detail_graph-f15"
data-new_class="detail_graph-f15-15">15 </button>
<button class="button-bin" data-target="detail_graph-f15"
data-new_class="detail_graph-f15-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f15-0
pos-detail-num-graph" id="detail_graph-f15"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f15">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">EXG Channel 15</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.89</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.86</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.75</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.64</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.64</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.63</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.58</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.58</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.52</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.48</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.47</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.43</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.14</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-50632.80321750679</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-48551.31936685078</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">9</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-49650.08642078476</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-50385.50351685328</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56143.31288854038</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-48480.68785437201</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-57683.12456406648</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-74846.64915164103</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-41058.52288705384</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-56132.80756864639</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-55998.5182879589</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-49276.32055000312</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-52099.43528168622</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-57190.51446801597</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-68820.46238427906</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77308.73850688201</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77228.56279952083</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77226.50643903094</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77222.21490409553</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77216.31404355932</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77202.23244455249</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77197.85150263924</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77193.38115374818</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77174.33746747226</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77173.91278432761</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77150.77872881637</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77138.79819378832</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77127.71172853849</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77110.97027194146</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-77110.61264403017</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-18922.964504118503</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-19098.29158762593</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20117.665245254662</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20284.275148424524</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-20877.356335801644</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-22196.82451448733</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-22293.74167844554</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-23041.40753047556</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-24315.90399931717</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-24615.126802340368</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-24813.0067960032</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-24913.96962570782</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-24916.36126236454</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-25206.241036205414</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f16" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Accel Channel 0</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f16"
data-new_class="detail_graph-f16-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f16"
data-new_class="detail_graph-f16-5">5 </button>
<button class="button-bin" data-target="detail_graph-f16"
data-new_class="detail_graph-f16-15">15 </button>
<button class="button-bin" data-target="detail_graph-f16"
data-new_class="detail_graph-f16-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f16-0
pos-detail-num-graph" id="detail_graph-f16"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f16">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Accel Channel 0</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-red">-0.47</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-red">-0.43</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.42</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.41</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-red">-0.37</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-red">-0.37</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-red">-0.29</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-red">-0.24</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.23</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-red">-0.22</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 0 (D11)</div>
<div class="pos-assoc-row__source text-label color-red">-0.22</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-red">-0.14</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.12</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.21</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.002</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4,941</div>
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.002</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3,550</div>
<div class="pos-detail-num-pair-pos__perc">2.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.004</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,963</div>
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.004</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,813</div>
<div class="pos-detail-num-pair-pos__perc">1.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.01</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,806</div>
<div class="pos-detail-num-pair-pos__perc">1.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.012</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,440</div>
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.006</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,360</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.014</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,341</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.008</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,332</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.026</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,240</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.028</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,210</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.006</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,205</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.016</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,202</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.022</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,199</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.02</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,175</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.174</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1738476562499999</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1716953125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.171390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.17048095703125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1689619140625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.167923828125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.16678125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.164</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1635625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.16</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">15</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.157125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.156</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.154</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.152</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.198</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">20</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19726953125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.196</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">45</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19542578125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19525</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.195</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">15</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19498828125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1948515625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19475</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1945390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1945</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1944453125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.194375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.194125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1940625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f17" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Accel Channel 1</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f17"
data-new_class="detail_graph-f17-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f17"
data-new_class="detail_graph-f17-5">5 </button>
<button class="button-bin" data-target="detail_graph-f17"
data-new_class="detail_graph-f17-15">15 </button>
<button class="button-bin" data-target="detail_graph-f17"
data-new_class="detail_graph-f17-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f17-0
pos-detail-num-graph" id="detail_graph-f17"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f17">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Accel Channel 1</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.64</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.44</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.43</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.40</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.39</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.37</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.37</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.37</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.37</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.36</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.35</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.33</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.29</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.28</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.03</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.026</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13,935</div>
<div class="pos-detail-num-pair-pos__perc">8.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.024</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11,495</div>
<div class="pos-detail-num-pair-pos__perc">7.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.028</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10,444</div>
<div class="pos-detail-num-pair-pos__perc">6.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.022</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7,374</div>
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.03</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5,755</div>
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.02</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5,224</div>
<div class="pos-detail-num-pair-pos__perc">3.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.018</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3,636</div>
<div class="pos-detail-num-pair-pos__perc">2.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.002</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,875</div>
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.004</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,840</div>
<div class="pos-detail-num-pair-pos__perc">1.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,830</div>
<div class="pos-detail-num-pair-pos__perc">1.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.998</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,495</div>
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.016</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,365</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.996</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,075</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.006</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,060</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.032</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,043</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.513</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.515</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.7695000000000001</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.7715000000000001</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">20</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.8945751953125001</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.896</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.89775</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.898</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.8982875976562501</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.89875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.9</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.90075</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.902</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.90469140625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.1011416015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.096283203125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.095666015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.08533203125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.084</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">15</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0828330078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.08056640625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.08</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.076</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0750937500000002</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.072</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.07</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.068</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.067546875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0675</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f18" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Accel Channel 2</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f18"
data-new_class="detail_graph-f18-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f18"
data-new_class="detail_graph-f18-5">5 </button>
<button class="button-bin" data-target="detail_graph-f18"
data-new_class="detail_graph-f18-15">15 </button>
<button class="button-bin" data-target="detail_graph-f18"
data-new_class="detail_graph-f18-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f18-0
pos-detail-num-graph" id="detail_graph-f18"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f18">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Accel Channel 2</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-red">-0.64</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-red">-0.63</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-red">-0.61</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-red">-0.58</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.58</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-red">-0.57</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-red">-0.54</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-red">-0.49</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-red">-0.49</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-red">-0.47</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-red">-0.45</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.41</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.41</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-red">-0.40</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.07</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.258</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,095</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.256</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">990</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.264</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">970</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.254</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">965</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.074</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">962</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.152</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">955</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.266</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">950</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.26</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">945</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.262</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">935</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.252</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">915</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.076</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">915</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.268</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">900</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.078</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">889</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.27</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">880</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.082</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">860</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.134</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.13</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.129</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1185</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.10525</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.102</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.094</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.0935</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.092</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">39</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.0915</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.091</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">12</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.09075</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">7</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.0906875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.09</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">23</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.08875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.478</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.476</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.466</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.462</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.459</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.458</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">25</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4575</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.45675</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.454</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4523749999999999</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.452</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.45</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">10</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.444</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4418184814453125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.44</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f19" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Digital Channel 0 (D11)</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f19"
data-new_class="detail_graph-f19-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f19"
data-new_class="detail_graph-f19-5">5 </button>
<button class="button-bin" data-target="detail_graph-f19"
data-new_class="detail_graph-f19-15">15 </button>
<button class="button-bin" data-target="detail_graph-f19"
data-new_class="detail_graph-f19-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f19-0
pos-detail-num-graph" id="detail_graph-f19"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f19">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Digital Channel 0 (D11)</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 1 (D12)</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 2 (D13)</div>
<div class="pos-assoc-row__source text-label color-source">0.51</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 4 (D18)</div>
<div class="pos-assoc-row__source text-label color-source">0.45</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 3 (D17)</div>
<div class="pos-assoc-row__source text-label color-source">0.31</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.22</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.19</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.18</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.16</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.15</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.14</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.14</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.13</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.11</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.06</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">145,355</div>
<div class="pos-detail-num-pair-pos__perc">88.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">127.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8,020</div>
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6,393</div>
<div class="pos-detail-num-pair-pos__perc">3.9%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">127.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,679</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,133</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">841</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">313</div>
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">192</div>
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">71</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">126.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">29</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">125.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">19</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">125.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.25</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">126.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">145,355</div>
<div class="pos-detail-num-pair-pos__perc">88.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6,393</div>
<div class="pos-detail-num-pair-pos__perc">3.9%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,133</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">313</div>
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">71</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">841</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">192</div>
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.96875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.9375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">31.625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">31.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.12109375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.25</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">158.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128.484375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">127.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8,020</div>
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">127.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,679</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">126.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">29</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">126.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">125.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">19</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">125.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">11</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.2421875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">63.25</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.12109375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">31.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">31.625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f20" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Digital Channel 1 (D12)</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f20"
data-new_class="detail_graph-f20-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f20"
data-new_class="detail_graph-f20-5">5 </button>
<button class="button-bin" data-target="detail_graph-f20"
data-new_class="detail_graph-f20-15">15 </button>
<button class="button-bin" data-target="detail_graph-f20"
data-new_class="detail_graph-f20-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f20-0
pos-detail-num-graph" id="detail_graph-f20"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f20">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Digital Channel 1 (D12)</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 2 (D13)</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 4 (D18)</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 3 (D17)</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 0 (D11)</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.02</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.02</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">134,025</div>
<div class="pos-detail-num-pair-pos__perc">81.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,715</div>
<div class="pos-detail-num-pair-pos__perc">1.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,599</div>
<div class="pos-detail-num-pair-pos__perc">1.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,372</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,294</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,143</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,030</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,004</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,850</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,796</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,796</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,792</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,713</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,679</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,657</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">134,025</div>
<div class="pos-detail-num-pair-pos__perc">81.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,294</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,030</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">18.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">22.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,792</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,796</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,850</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">44.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,679</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,601</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,715</div>
<div class="pos-detail-num-pair-pos__perc">1.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,599</div>
<div class="pos-detail-num-pair-pos__perc">1.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,372</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,143</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,004</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,796</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,713</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,657</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,601</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,679</div>
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">44.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,850</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,796</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f21" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Digital Channel 2 (D13)</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f21"
data-new_class="detail_graph-f21-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f21"
data-new_class="detail_graph-f21-5">5 </button>
<button class="button-bin" data-target="detail_graph-f21"
data-new_class="detail_graph-f21-15">15 </button>
<button class="button-bin" data-target="detail_graph-f21"
data-new_class="detail_graph-f21-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f21-0
pos-detail-num-graph" id="detail_graph-f21"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f21">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Digital Channel 2 (D13)</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 4 (D18)</div>
<div class="pos-assoc-row__source text-label color-source">0.83</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 1 (D12)</div>
<div class="pos-assoc-row__source text-label color-source">0.81</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 3 (D17)</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 0 (D11)</div>
<div class="pos-assoc-row__source text-label color-source">0.51</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">131,506</div>
<div class="pos-detail-num-pair-pos__perc">80.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">16,470</div>
<div class="pos-detail-num-pair-pos__perc">10.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">15,535</div>
<div class="pos-detail-num-pair-pos__perc">9.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">431</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">46</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">36</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">24</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">19.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">131,506</div>
<div class="pos-detail-num-pair-pos__perc">80.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.9375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.25</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">36</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">46</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">19.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">24</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">16,470</div>
<div class="pos-detail-num-pair-pos__perc">10.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">15,535</div>
<div class="pos-detail-num-pair-pos__perc">9.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">431</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">46</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">36</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.25</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">6</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f22" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Digital Channel 3 (D17)</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f22"
data-new_class="detail_graph-f22-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f22"
data-new_class="detail_graph-f22-5">5 </button>
<button class="button-bin" data-target="detail_graph-f22"
data-new_class="detail_graph-f22-15">15 </button>
<button class="button-bin" data-target="detail_graph-f22"
data-new_class="detail_graph-f22-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f22-0
pos-detail-num-graph" id="detail_graph-f22"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f22">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Digital Channel 3 (D17)</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 2 (D13)</div>
<div class="pos-assoc-row__source text-label color-source">0.66</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 4 (D18)</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 1 (D12)</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 0 (D11)</div>
<div class="pos-assoc-row__source text-label color-source">0.31</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Accel Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.10</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.05</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-red">-0.05</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.04</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-red">-0.04</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.04</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.04</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-red">-0.04</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 14</div>
<div class="pos-assoc-row__source text-label color-red">-0.03</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.02</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.03</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">136,021</div>
<div class="pos-detail-num-pair-pos__perc">82.9%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5,674</div>
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4,711</div>
<div class="pos-detail-num-pair-pos__perc">2.9%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3,039</div>
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3,028</div>
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,095</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,838</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,341</div>
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,329</div>
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,083</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">924</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">815</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">631</div>
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">581</div>
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">485</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">136,021</div>
<div class="pos-detail-num-pair-pos__perc">82.9%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">5,674</div>
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4,711</div>
<div class="pos-detail-num-pair-pos__perc">2.9%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3,028</div>
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,838</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,341</div>
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,083</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">815</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">581</div>
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">474</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">485</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">631</div>
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">124.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3,039</div>
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,095</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,329</div>
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">924</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">631</div>
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">485</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">474</div>
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">581</div>
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">4</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">815</div>
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,083</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,341</div>
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,838</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">3</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f23" >
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab">Digital Channel 4 (D18)</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f23"
data-new_class="detail_graph-f23-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f23"
data-new_class="detail_graph-f23-5">5 </button>
<button class="button-bin" data-target="detail_graph-f23"
data-new_class="detail_graph-f23-15">15 </button>
<button class="button-bin" data-target="detail_graph-f23"
data-new_class="detail_graph-f23-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f23-0
pos-detail-num-graph" id="detail_graph-f23"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f23">
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
></span>
<div class="container-detail-assoc">
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(PEARSON, -1 to 1)
</div>
<!-- <div class="text-med-bold">Digital Channel 4 (D18)</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 2 (D13)</div>
<div class="pos-assoc-row__source text-label color-source">0.83</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 1 (D12)</div>
<div class="pos-assoc-row__source text-label color-source">0.69</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 3 (D17)</div>
<div class="pos-assoc-row__source text-label color-source">0.56</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Digital Channel 0 (D11)</div>
<div class="pos-assoc-row__source text-label color-source">0.45</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Accel Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
<div class="text-small-bold color-light" style="line-height: 10px">
(CORRELATION RATIO, 0 to 1)
</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">0.01</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
<!-- FREQUENT -->
<div class="pos-detail-num-most">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">MOST FREQUENT VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">133,489</div>
<div class="pos-detail-num-pair-pos__perc">81.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,290</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,202</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,199</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,177</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,147</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,126</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,124</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,003</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,995</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,979</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,960</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,925</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,846</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,820</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
</div>
</div>
<!-- MINIMUM -->
<div class="pos-detail-num-min">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold"> SMALLEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">133,489</div>
<div class="pos-detail-num-pair-pos__perc">81.4%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.75</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,846</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12.09375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,781</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,925</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">24.1875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,820</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,960</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
</div>
</div>
<!-- MAXIMUM -->
<div class="pos-detail-num-max">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<div class="text-large-bold">LARGEST VALUES</div>
<hr>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,003</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,979</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,126</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,147</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,124</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,290</div>
<div class="pos-detail-num-pair-pos__perc">1.4%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,202</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,199</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">2,177</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">50.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,995</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,960</div>
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1,820</div>
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f24">
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab">Analog Channel 0</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<span class="detail_graph-f24-
pos-detail-cat-graph" id="detail_graph-f24"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f24"
style="top: 144.0px;"> <!-- height: 766.0px;"> WHY was this needed? Causes issue in vertical layout. -->
<!-- HEADER ROW -->
<div class="breakdown-row-header text-value" style="width:553px">
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
<div class="breakdown-hr"><hr></div>
<div class="pair__header color-source" style="left: 48px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</div>
</div>
<!-- ROW CONTENT -->
<div class="breakdown-row text-value " style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</div>
<div class="breakdown-row text-value row-colored" style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-24"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f24">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f24">
<!-- CAT-CAT -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
CATEGORICAL ASSOCIATIONS<br>
(UNCERTAINTY COEFFICIENT, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Analog Channel 0<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Movement<!----></div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
ON Analog Channel 0:</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<br>
<!-- CAT-NUM -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
NUMERICAL ASSOCIATIONS<br>
(CORRELATION RATIO, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Analog Channel 0<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f25">
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab">Analog Channel 1</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<span class="detail_graph-f25-
pos-detail-cat-graph" id="detail_graph-f25"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f25"
style="top: 144.0px;"> <!-- height: 766.0px;"> WHY was this needed? Causes issue in vertical layout. -->
<!-- HEADER ROW -->
<div class="breakdown-row-header text-value" style="width:553px">
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
<div class="breakdown-hr"><hr></div>
<div class="pair__header color-source" style="left: 48px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</div>
</div>
<!-- ROW CONTENT -->
<div class="breakdown-row text-value " style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</div>
<div class="breakdown-row text-value row-colored" style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-25"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f25">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f25">
<!-- CAT-CAT -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
CATEGORICAL ASSOCIATIONS<br>
(UNCERTAINTY COEFFICIENT, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Analog Channel 1<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Movement<!----></div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
ON Analog Channel 1:</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<br>
<!-- CAT-NUM -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
NUMERICAL ASSOCIATIONS<br>
(CORRELATION RATIO, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Analog Channel 1<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f26">
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab">Analog Channel 2</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<span class="detail_graph-f26-
pos-detail-cat-graph" id="detail_graph-f26"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f26"
style="top: 144.0px;"> <!-- height: 766.0px;"> WHY was this needed? Causes issue in vertical layout. -->
<!-- HEADER ROW -->
<div class="breakdown-row-header text-value" style="width:553px">
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
<div class="breakdown-hr"><hr></div>
<div class="pair__header color-source" style="left: 48px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</div>
</div>
<!-- ROW CONTENT -->
<div class="breakdown-row text-value " style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</div>
<div class="breakdown-row text-value row-colored" style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-26"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f26">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f26">
<!-- CAT-CAT -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
CATEGORICAL ASSOCIATIONS<br>
(UNCERTAINTY COEFFICIENT, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Analog Channel 2<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Movement<!----></div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
ON Analog Channel 2:</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<br>
<!-- CAT-NUM -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
NUMERICAL ASSOCIATIONS<br>
(CORRELATION RATIO, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Analog Channel 2<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f27">
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-wide" style="left: 12px"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-text"></div>
<span class="text-title-tab">Timestamp</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<div class="pos-detail-text" >
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-27 17:31:42.443204641+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:05.055819988+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610912800+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610946417+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610979557+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611012697+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611045599+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611088514+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611120701+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611153603+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611186743+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611219645+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611254215+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611294508+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611327171+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611359596+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611391306+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611425638+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611466885+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610862732+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610830307+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610797405+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132368326+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132204055+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132225512+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132246970+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132268429+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132295847+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132318497+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132339716+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132389545+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610763788+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132416010+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132438421+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132459640+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.132481097+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610490322+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610627890+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.610698223+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611498833+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611531019+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.611563206+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612414598+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612254858+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612276554+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612304926+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612326860+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612349510+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612371206+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612392902+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612441540+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612201214+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612464190+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612485886+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612507105+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612528801+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:04.091480494+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:04.091766357+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:04.091831923+01:00
</div>
</div>
<div class="breakdown-row text-value row-colored" style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">1</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-28 19:35:03.612232447+01:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">164,018</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
(Other)
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f28">
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab">Marker Channel</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<span class="detail_graph-f28-
pos-detail-cat-graph" id="detail_graph-f28"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f28"
style="top: 144.0px;"> <!-- height: 766.0px;"> WHY was this needed? Causes issue in vertical layout. -->
<!-- HEADER ROW -->
<div class="breakdown-row-header text-value" style="width:553px">
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
<div class="breakdown-hr"><hr></div>
<div class="pair__header color-source" style="left: 48px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</div>
</div>
<!-- ROW CONTENT -->
<div class="breakdown-row text-value " style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</div>
<div class="breakdown-row text-value row-colored" style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-28"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f28">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f28">
<!-- CAT-CAT -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
CATEGORICAL ASSOCIATIONS<br>
(UNCERTAINTY COEFFICIENT, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Marker Channel<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Movement<!----></div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
ON Marker Channel:</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Movement</div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<br>
<!-- CAT-NUM -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
NUMERICAL ASSOCIATIONS<br>
(CORRELATION RATIO, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Marker Channel<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">EXG Channel 12</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f29">
<div class="container-feature-detail__offset">
<span class="bg-tab-detail-med"></span>
<div class="pos-detail-tab-icon-text__offset">
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab">Movement</span>
</div>
<div class="pos-base-stats-in-detail">
<div class="row-missing">
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
<div class="text-value color-source pos-base-stats__source">
---
</div>
<div class="text-value color-source pos-base-stats__source-perc" >
</div>
</div>
</div>
<span class="detail_graph-f29-
pos-detail-cat-graph" id="detail_graph-f29"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f29"
style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. -->
<!-- HEADER ROW -->
<div class="breakdown-row-header text-value" style="width:553px">
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
<div class="breakdown-hr"><hr></div>
<div class="pair__header color-source" style="left: 54px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</div>
</div>
<!-- ROW CONTENT -->
<div class="breakdown-row text-value " style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">none</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 54px">
<div class="pair-pos__num dim">73,413</div>
<div class="pair-pos__perc">45%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value row-colored" style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">i</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 54px">
<div class="pair-pos__num dim">49,504</div>
<div class="pair-pos__perc">30%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value " style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">d</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 54px">
<div class="pair-pos__num dim">41,161</div>
<div class="pair-pos__perc">25%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</div>
<div class="breakdown-row text-value row-colored" style="width:553px">
<!-- Name -->
<div class="text-label color-normal " style="position: absolute; left:10px;
width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 54px">
<div class="pair-pos__num dim">164,078</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-29"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f29">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f29">
<!-- CAT-CAT -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
CATEGORICAL ASSOCIATIONS<br>
(UNCERTAINTY COEFFICIENT, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Movement<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 0<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 1<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Analog Channel 2<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Marker Channel<!----></div>
<div class="pos-assoc-row__source text-label color-source">1.00</div>
</div>
<br>
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
ON Movement:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Analog Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">Analog Channel 2</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">Marker Channel</div>
<div class="pos-assoc-row__source text-label color-source">0.00</div>
</div>
<br>
<!-- CAT-NUM -->
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
NUMERICAL ASSOCIATIONS<br>
(CORRELATION RATIO, 0 to 1)
</div>
<div class="text-large-bold" style="line-height: 104%;">Movement<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">Accel Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.21</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 10</div>
<div class="pos-assoc-row__source text-label color-source">0.21</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 6</div>
<div class="pos-assoc-row__source text-label color-source">0.19</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 13</div>
<div class="pos-assoc-row__source text-label color-source">0.17</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 8</div>
<div class="pos-assoc-row__source text-label color-source">0.16</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 3</div>
<div class="pos-assoc-row__source text-label color-source">0.15</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 4</div>
<div class="pos-assoc-row__source text-label color-source">0.14</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 15</div>
<div class="pos-assoc-row__source text-label color-source">0.14</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 9</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 0</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 5</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 11</div>
<div class="pos-assoc-row__source text-label color-source">0.13</div>
</div>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 1</div>
<div class="pos-assoc-row__source text-label color-source">0.12</div>
</div>
<div class="assoc-row row-colored" style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">EXG Channel 7</div>
<div class="pos-assoc-row__source text-label color-source">0.11</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>