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stree_datasets/html/iris.html
Ricardo Montañana 5611e5bc01 Commit Inicial
2020-11-20 11:23:40 +01:00

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<!doctype html>
<html lang="en">
<head>
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format('truetype');
}
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format('truetype');
}
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mgACAHcAAATTBbAAGwAfAWYAshoAACuyFRYZMzMzsgcCACuyCAsMMzMztAABGgcNK7MCERwdJBczsQAE6bMUFxgbJBcytAUEGgcNK7MDEB4fJBczsQUF6bMGCQoNJBcyAbAgL7Aa1rQZDAAbBCuwGRCxFgErtBUMABsEK7IVFgors0AVEwkrswgVFggrtAcMABsEK7AHL7QIDAAbBCuyBwgKK7NABwQJK7AVELELASu0DAwAGwQrsSEBK7A2Gro+0fPBABUrCro+y/OfABUrCrAaELMCGgcTK7MDGgcTK7MGGgcTK7AZELMJGQgTK7AWELMKFgsTK7AVELMNFQwTK7MQFQwTK7MRFQwTK7MUFQwTK7AWELMXFgsTK7AZELMYGQgTK7AaELMbGgcTK7AZELMcGQgTK7AWELMdFgsTK7MeFgsTK7AZELMfGQgTKwNAEAIDBgkKDRARFBcYGxwdHh8uLi4uLi4uLi4uLi4uLi4usEAaADAxEzUhEyE1IRMzAyETMwMzFSMDMxUjAyMTIQMjEzchEyF3AQlF/v4BHVKPUgEIUpBSzOdF4ftQkFD++FCPUKkBCEX++AGaiQFiiwGg/mABoP5gi/6eif5mAZr+ZgGaiQFiAAAAAQBu/zAEEQacACsAngCyKQAAK7AmM7EEA+myKQQKK7NAKSgJK7IQAgArsBMzsRoD6bIQGgors0AQEQkrAbAsL7AN1rEdDumwACDWEbEBDumwHRCxEAErtBMMABsEK7AoINYRtCcMABsEK7ATELEHASuwFzKxIw7psBYysS0BK7EoHRESsAs5sScQERKyCgQaOTk5sQcTERKwIDkAsRoEERKzAA0WIyQXOTAxEzMUFjMyNjU0JicuATU0Njc1MxUeARUjNCYjIgYVFBYEHgEVFAYHFSM1LgFuuZKGg5aBmdXDv6eVqLu4hnJ3foUBMatRy7eUutMBrYuWfm1cfjNB0aGk0hTb3BfszY2me25meWN3nmqpzhO/vxHnAAAFAGn/6wWDBcUADQAaAB4AKgA4AJgAsikAACuxLgTpsgQCACuxGATptDUjKQQNK7E1BOm0EQspBA0rsREE6QGwOS+wANa0DgwAGwQrsA4QsRQBK7QIDAAbBCuwCBCxHwErtCsMABsEK7ArELExASu0JgwAGwQrsToBK7EUDhESswsEGx4kFzmxMSsRErUcIiMoKR0kFzkAsTUuERKxGx45ObEYERESsRwdOTkwMRM1NDYzMhYdARQGIyImNxQWMzI2PQE0JiIGFRMBFwElNTQ2IBYdARQGICY3FBYzMjY9ATQmIyIGFWmng4Wlp4GCqopYSkdXVpRWYwLHaf05AW+nAQaop/78qopYSkhWV0lHWQRSRoOqq4hHhKenhE5lYlVJTmZmUvwcBHJC+46vSIOpqItHg6mnhU9lY1VKT2RjVAAAAAADAGX/7ATzBcQAHgAnADMAiQCyGAAAK7IcAAArsSIG6bIJAgArsTEG6QGwNC+wANaxHw7pswYfAAgrsSgO6bAfELEuASuxDAzpsAwQsRMBK7EUDOmxNQErsSgfERKwAzmwLhG0CRwiJRAkFzmwDBKwJDmwExGxERk5ObAUErEWGDk5ALEiGBESsBk5sDERtQAGDBYlKiQXOTAxEzQ2Ny4BNTQ2MzIWFRQGDwEBNjUzFAcXIycOASMiJDcUFjMyNwEHBhMUFzc+ATU0JiMiBmV1pWFCxKiWxFlvawFERKd70N5hSsdn1f7+uZmFk3r+nSGnd3Z2RDJkTFJgAYdpsHV2kEemvK+FWJVST/59gp//qPlzQkXiuXaOcAGpGHsCX2CQUzBXPkNZbwAAAAABAGcEIQD9BgAABAAuALAAL7QBCgAJBCsBsAUvsAHWtAIMABsEK7QDDAAbBCu0BAwAEAQrsQYBKwAwMRsBMxUDZwGVFQQhAd9v/pAAAQCF/ioClQZrABEAEwABsBIvsADWsQkO6bETASsAMDETNBoBNxcGAgMHEBMWFwcmJwKFefCBJpK7CQGNVXUmhXnsAk/iAaABVEZ6cP40/uNV/n7+5KpgcUquAVQAAAAAAQAm/ioCNwZrABEAEwABsBIvsAPWsQ0O6bETASsAMDETNhITNTQKASc3FhoBFRQKAQcmmrsCWJ1iJ4Tvd3XxhP6bdgHxAS8g0gFpAR5QcUn+qv5k69/+Z/6mSQABABwCYQNVBbAADgAjALIDAgArAbAPL7AC1rQFDAAbBCuxEAErsQUCERKwCzkAMDETNwUDMwMlFwUTBwsBJxMcLgEuCZkKASku/s3GfLq0fckEMZdwAVj+o26YW/7xXgEg/udbARQAAAEATgCSBDQEtgALAFIAsAAvsAczsQEJ6bAFMrIAAQors0AACgkrsgEACiuzQAEDCSsBsAwvsArWsAIysQkO6bAEMrIJCgors0AJBwkrsgoJCiuzQAoACSuxDQErADAxEzUhETMRIRUhESMRTgGWugGW/mq6Al6vAan+V6/+NAHMAAAAAAEAHf7eATQA2wAIACUAsAgvtAMKAAkEKwGwCS+wAtaxBQ7psQoBK7EFAhESsAg5ADAxFzY3NTMVFAYHHV4EtWNL2oOLp5Flyj0AAAABACUCHwINArYAAwAiALAAL7EBBumxAQbpAbAEL7EAASu0AxEACQQrsQUBKwAwMRM1IRUlAegCH5eXAAABAJD/9QF2ANEACQApALIIAAArsQMK6bIIAAArsQMK6QGwCi+wANaxBRHpsQUR6bELASsAMDE3NDYyFhUUBiImkDlyOztyOWEwQEAwLj4+AAEAEv+DAxAFsAADABEAsgECACsBsAQvsQUBKwAwMRcBMwESAmCe/aF9Bi350wAAAAIAc//sBAoFxAANABsAOgCyCwAAK7ERBumyBAIAK7EYBukBsBwvsADWsQ4O6bAOELEUASuxCA7psR0BK7EUDhESsQsEOTkAMDETNRASMzISExUQAiMiAhMUFjMyNjcRNCYjIgYHc97t694D3uzp4LWJi4mFA4SPjoICAlT3AUEBOP7T/sbw/rv+xAE1AS/s4dTkAS/r19beAAAAAAEAqgAAAtkFtwAGAD4AsgUAACuyAgIAK7MABQIIKwGwBy+wBdaxBA7psgUECiuzQAUBCSuxCAErsQQFERKwAjkAsQIAERKwBjkwMRM1JTMRIxGqAhIdugRIqMf6SQTRAAEAXQAABDMFxAAXAGsAsgwAACuxCQbpsgMCACuxFAbpshQDCiuzQBQACSsBsBgvsADWsRcO6bAXELERASuxBg7psgYRCiuzQAYLCSuyEQYKK7NAEQwJK7EZASuxERcRErEDCTk5ALEJDBESsA05sBQRsQYROTkwMRM0JDMyFhUUCQEhFSE1AT4BNTQmIyIGFV0BA9nL7P7u/noC2/xGAfhwVYpzipkEA8n41bHX/tf+WZeFAjB/n1Vykp2MAAAAAAEAXv/sA/kFxAAmAIMAsiUAACuxBAbpsgQlCiuzQAQACSuyGQIAK7ESBumyEhkKK7NAEhYJK7QMCyUZDSuxDAbpAbAnL7AA1rAWMrEBDumwFTKwARCxBwErsSIO6bAQINYRsRwO6bEoASuxEAERErUECxkfJCUkFzkAsQsEERKwIjmwDBGwHzmwEhKwHDkwMRMzFBYzMjY1NCYnIzUzPgE1ECMiBhUjNDYzMhYVFAYHHgEVFAQgJF66ln6GjpyTi4uDlv94j7n9w87qe2p4g/8A/mb+/wGAc4qMg3+IApcChnIBAIlxreXawl+yLCawf8Tm3gACADUAAARQBbAACgAOAFgAsgkAACuyAgIAK7QACwkCDSuwBDOxAAbpsAYyAbAPL7AJ1rAMMrEIDumwAzKyCAkKK7NACAYJK7IJCAors0AJAAkrsRABKwCxCwARErABObACEbANOTAxEzUBMxEzFSMRIxElIREHNQKMxcrKuv47AcUWAVJtA/H8OZf+rgFSlwLKKAAAAQCa/+wELQWwAB0AlACyGwAAK7EEBumyBBsKK7NABAAJK7IPAgArsRII6bQVChsPDSuxFQjpAbAeL7AA1rEBDemwARCxBwErsRgO6bEfASuwNhq6P5z48wAVKwqwDy4OsA7ABbESDfkOsBPAALEOEy4uAbMODxITLi4uLrBAGgGxBwERErINFRs5OTmwGBGxEBE5OQCxCgQRErENGDk5MDETMx4BMzI2NTQmIyIPAScTIRUhAzYzMhIVFAIjIiaarxGQdoGTn4R5RTGUSgLq/bMsa4jH6vPawfQBf31/sJuSsTUoJgLWq/5zP/754OH+/dYAAAIAhP/sBBwFsQAUACEAWACyEgAAK7EYBumyBAIAK7EHA+m0DB4SBA0rsQwD6QGwIi+wANaxFQ7psAoysBUQsRsBK7EPDumxIwErsRsVERKyBQwSOTk5ALEeGBESsA85sAwRsAo5MDETNRAAJTMVIwYEBzYzMhIVFAIjIgA3FBYzMjY1NCYjIgYHhAFXAVMhItj/ABRzx77j9c7R/vy6onl9j5F4X6AfAipHAZIBqQWdBPjhhP701OH+8gFB6LTcuJWWuXJWAAAAAQBNAAAEJQWwAAYAIgCyBQAAK7IBAgArsQAG6QGwBy+xCAErALEBABESsAM5MDETNSEVASMBTQPY/aXCAlkFGJho+rgFGAAAAwBw/+wEDgXEABcAIQArAHcAshUAACuxGwbpsgkCACuxKQbptCUhFQkNK7ElBukBsCwvsADWsRkO6bAGINYRsSIO6bAZELEeASuxEg7psCcg1hGxDA7psS0BK7EnIhEStgkDFRsgIQ8kFzkAsSEbERKxEgA5ObAlEbEDDzk5sCkSsQwGOTkwMRM0NjcuATU0NjMyFhUUBgceARUUBiMiJhIUFjMyNjU0JiIDFBYyNjQmIyIGcIFyYXDswcDtc2Jyhf/Q0v25k4OClJv6dYXehYpqbYcBiXa+MTCqbLjY2LhtqjAxvHe94OEBPPiOj3t6mgGQb4mJ3oyHAAAAAgBk//8D+AXEABcAJABZALIMAAArsQ0D6bIEAgArsSID6bQUGwwEDSuxFAbpAbAlL7AA1rEYDumwGBCxHgErsBEysQgO6bEmASuxHhgRErMLBAwUJBc5ALEbFBESsBE5sCIRsAA5MDETND4BMzISERUQAAUjNTM+ATcOASMiLgE3FBYzMjY3NTQmIyIGZG/MiNj5/rD+rSQn5fYLOqFgfrtmto94XZ0knnl6lAPMkup8/r3+6Tb+V/55BZwE5/pFVHzhkpXBclRKtuS7AAAAAAIAhv/1AW0ERAAJABMAOQCyCAAAK7EDCumyDQEAK7ESCukBsBQvsADWsAoysQUR6bAPMrEFEemxFQErsQUAERKxDRE5OQAwMTc0NjIWFRQGIiYTNDYyFhUUBiImhjlyOztyOQE5cjs7cjlhMEBAMC4+PgOhMEBAMC4+PgACACn+3gFVBEQACAASAD4AsgwBACuxEQrpAbATL7AC1rEFDumwBRCzLwUODiuxCRHpsAkvsQ4R6bEUASuxBQIRErQICwwQESQXOQAwMRc2NzUzFRQGBwM0NjIWFRQGIiYpXgS1Y0sjOXI7O3I52oOLp5Flyj0E9jBAQDAuPj4AAAEASADDA3oESgAGABEAsgIBACsBsAcvsQgBKwAwMRM1ARUBBRVIAzL9jgJyAj6SAXrE/v79xAAAAgCYAY8D2gPPAAMABwAaALAAL7EBB+mwBC+xBQfpAbAIL7EJASsAMDETNSEVATUhFZgDQvy+A0IBj6CgAZ+hoQAAAAABAIYAxAPcBEsABgARALIEAQArAbAHL7EIASsAMDE3NQkBNQEVhgKV/WsDVsTAAQYBA77+hpIAAAIAS//1A3YFxAAYACEAdQCyIAAAK7EcCumyAwIAK7EVB+myFQMKK7NAFQAJKwGwIi+wANaxGA7psBgQsQwBK7AZMrELDumxHhHpsAsQsRIBK7EGDumxIwErsQsMERK0Aw8VHB8kFzmxEh4RErEJEDk5sAYRsAg5ALEVHBESsQYLOTkwMRM+ATMyFhUUDwEGFSM+AT8BNjU0JiMiBhUTNDYyFhQGIiZLAuO2vdOibUm5AjJNg1RuaWZ8WTdsODhsNwRbosfLsa+qbFGYd4pUh19taXdsW/wCLT09Wjs7AAAAAgBq/jsG1gWXADUAQgDSALILAAArsBAzsR0E6bILAAArsTkF6bAyL7ErBOmwQC+xFwTpsCMvsQQE6QGwQy+wANa0JwwAGwQrsCcQsSABK7QIDAAQBCuxRAErsDYauj+4+gUAFSsKDrA8ELA+wLEbE/mwGsCwPBCzPTw+EyuyPTw+IIogiiMGDhESOQC0Ghs8PT4uLi4uLgG0Ghs8PT4uLi4uLrBAGgGxJwARErEBKDk5sCARtwsEEiMrLzI3JBc5sAgSsQkhOTkAsSsyERKwLzmwCxGwLjmxQDkRErANOTAxExoBJDMyBBIDBgIjIicOASMiJjc2EjYzMhYXAwYzMjY3EgAhIgQCBwYSBDMyNjcXDgEjIiQCJQYWMzI2PwETJiMiBnYM3gF87/kBZK4MDNi1uzU2i0qOkhMPeb9pUYBQNBOTcYwGE/65/rLJ/si0CwyQASfRWrU8JT7Nafr+mLMCXg5RWDxvJAEuOEB1mQHeARMBt+/g/lr+5fL+6KhVU+jNpQEDlCs//dbn4LQBhQGYx/6I9vj+k8EsI3MnMuEBp96OmGZfCQH3He4AAAAAAgAcAAAFHQWwAAcACgAsALIAAAArsAMzsgECACu0BggAAQ0rsQYD6QGwCy+xDAErALEBCBESsAo5MDEzATMBIwMhAxMhAxwCLKgCLcWL/Z6JwwHv+AWw+lABfP6EAhoCqQAAAAMAqQAABIgFsAAOABYAHwBjALIAAAArsQ8D6bIBAgArsR8D6bQXFgABDSuxFwPpAbAgL7AA1rEPC+mwFzKwDxCxEwErsQsL6bAbINYRsQUL6bEhASuxGw8RErAIOQCxFg8RErALObAXEbAIObAfErAFOTAxMxEhMhYVFAYHHgEVFAYjJSEyNjUQKQE1ITI2NTQmIyGpAdzt73Rkdon+6P7HAT2Gm/7i/sABIn6XjI/+5AWwxMBmnSshuYDE4J2LegEHmn5seG0AAQB3/+wE2AXEABwAVgCyGgAAK7ETA+myExoKK7NAExcJK7IFAgArsQwD6bIMBQors0AMCQkrAbAdL7AA1rEQC+mwEBCxFgErsAkysRcL6bAIMrEeASuxFhARErEFGjk5ADAxEzU0EiQzMgAXIy4BIyICHQEUEjMyNjczBgQjIAB3kQEKr+gBGBfBGaeWuNHGsqCrHMEb/uHu/v7+yQKUjMsBNKX+/eWunP7w+43t/uiRtOf7AXIAAAIAqQAABMYFsAALABUAMACyAAAAK7EMA+myAQIAK7EVA+kBsBYvsADWsQwL6bAMELEQASuxBwvpsRcBKwAwMTMRITIEEhcVFAIEByczMhIRNTQCJyOpAZu+ASSfAZ/+2cTTyt736dbgBbCo/srJXc7+yqYCnQEUAP9V+AETAgAAAQCpAAAERgWwAAsARwCyAAAAK7EJA+myAQIAK7EEA+m0BQgAAQ0rsQUD6QGwDC+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuxDQErADAxMxEhFSERIRUhESEVqQOT/S0Cd/2JAt0FsJ7+LJ39/J0AAAAAAQCpAAAELwWwAAkAQACyAAAAK7IBAgArsQQD6bQIBQABDSuxCAPpAbAKL7AA1rEJC+mwBDKyCQAKK7NACQMJK7NACQcJK7ELASsAMDEzESEVIREhFSERqQOG/ToCY/2dBbCe/g6d/X0AAAAAAQB6/+wE3AXEAB8AaQCyHAAAK7ERA+myBAIAK7EKA+myCgQKK7NACggJK7QWFxwEDSuxFgPpAbAgL7AA1rEOC+mwDhCxFAErsAgysRkL6bAHMrIUGQors0AUFgkrsSEBK7EUDhESsQQcOTkAsRYRERKwGTkwMRM1EAAhMgQXIwIhIgIDFRQSMzI2NxEhNSERBgQjIiQCegEzARbkARYfwDb+3sHHAeC/bKI1/q8CEEr+97Cy/uyXApJ/AUkBaunWASH+8f7/d/X+3zA5AUec/epqaacBNAAAAQCpAAAFCAWwAAsAPwCyAAAAK7AHM7IBAgArsAUztAMKAAENK7EDA+kBsAwvsADWsQsL6bACMrALELEIASuwBDKxBwvpsQ0BKwAwMTMRMxEhETMRIxEhEanAAt7Bwf0iBbD9jgJy+lACof1fAAAAAAEAtwAAAXcFsAADACEAsgAAACuyAQIAKwGwBC+wANaxAwvpsQML6bEFASsAMDEzETMRt8AFsPpQAAAAAAEANf/sA8wFsAAPAD8Asg0AACuxBAPpsgQNCiuzQAQACSuyCAIAKwGwEC+wANaxAQvpsAEQsQcBK7EKC+mxEQErsQcBERKwDTkAMDETMxQWMzI2NxEzERQGIyImNcCJgneTAcH70dnyAZJ9jJaHBAr7+dHs3gAAAAEAqQAABQUFsAALADAAsgAAACuwBzOyAQIAK7AEMwGwDC+wANaxCwvpsAIysQ0BKwCxAQARErEDCTk5MDEzETMRATMJASMBBxGpwAKH6P3DAmrm/fyyBbD9MALQ/X380wKluf4UAAAAAQCpAAAEHAWwAAUALACyAAAAK7EDA+myAQIAKwGwBi+wANaxAwvpsgMACiuzQAMFCSuxBwErADAxMxEzESEVqcECsgWw+u2dAAAAAAEAqQAABlIFsAAOAFcAsgAAACuxBgozM7IBAgArsAQzAbAPL7AA1rEOC+mxDA3psA4QsQcBK7EGC+mwBhCxCQ3psAkvsRABK7EHDhESswIECgskFzkAsQEAERKyAwkMOTk5MDEzETMJATMRIxETASMBExGp+AHcAdz5wBL+IpP+IxMFsPtcBKT6UAI3AmT7ZQSY/Z/9yQAAAQCpAAAFCAWwAAkARgCyAAAAK7AGM7IBAgArsAQzAbAKL7AA1rEJC+mwCRCxAwErsQYL6bELASuxCQARErACObADEbAHOQCxAQARErEDCDk5MDEzETMBETMRIwERqcEC37/B/SMFsPuZBGf6UARi+54AAAACAHb/7AUJBcQAEQAfADoAsg4AACuxFQfpsgUCACuxHAjpAbAgL7AA1rESC+mwEhCxGAErsQoL6bEhASuxGBIRErEOBTk5ADAxEzU0EiQzMgQSHQEUAgQjIiQCNxQSMzISNzUQAiMiAgd2kgELrK8BC5CQ/viwrP72k73TubrMA9C7ttEDApxp0gFCq6n+v9Vc1v7BqKkBOdv7/uEBD/1sAQMBFf7r9gACAKkAAATABbAACgATAEIAsgAAACuyAQIAK7ETA+m0CQsAAQ0rsQkD6QGwFC+wANaxCgvpsAsysAoQsQ8BK7EFC+mxFQErALETCxESsAU5MDEzESEyBBUUBCMhGQEhMjY1NCYnIakCGe8BD/739/6pAVmapKSP/pwFsPTJ1OX9xgLXkYmCnAMAAgBt/woFBgXEABUAIgBOALISAAArsRkH6bIFAgArsR8I6QGwIy+wANaxFgvpsBYQsRsBK7EKC+mwDjKxJAErsRsWERKzBRASDSQXObAKEbAPOQCxGRIRErANOTAxEzU0EiQzMgQSHQEUAgcFByUGIyIkAjcUEiASNzUQAiMiAgdtkgELrLABC5CGeQEEg/7NSFCs/vaTvtEBdMwDzb610QMCnGnSAUKrqv7B1V3T/s9WzHn0EqkBOdv6/uABD/1sAQEBF/7r9gACAKgAAATJBbAADgAXAGEAsgAAACuwCjOyAQIAK7EXA+m0DQ8AAQ0rsQ0D6QGwGC+wANaxDgvpsA8ysA4QsRMBK7EFC+mxGQErsRMOERKxDAg5ObAFEbALOQCxDQARErAJObAPEbAIObAXErAFOTAxMxEhMgQVFAYHARUjASEZASEyNjU0JichqAHi9gEJk4MBVs7+xP6qASePqaGY/toFsODWiMoy/ZYMAk39swLqlHyHkAEAAAAAAQBQ/+wEcgXEACYAbQCyIwAAK7EEA+myBCMKK7NABAAJK7IPAgArsRcD6bIXDwors0AXEwkrAbAnL7AM1rEaC+mwACDWEbEBC+mwGhCxBwErsBQysSAL6bATMrEoASuxBxoRErQECg8dIyQXOQCxFwQRErEMIDk5MDETMxQWMzI2NCYnLgE1NCQzMh4BFSM0JiMiBhUUFgQeARUUBCMiJCZQwcOjmKKWxffhARPcluuBwaiZjp+XAWvNY/7s55b+/I0BpoSZfNZ1OUfPmKzhdMx5hJd9b1l7Znukb7HVc8gAAAAAAQAxAAAElwWwAAcAOgCyBgAAK7IBAgArsQAD6bADMgGwCC+wBtaxBQvpsgUGCiuzQAUDCSuyBgUKK7NABgAJK7EJASsAMDETNSEVIREjETEEZv4svwUSnp767gUSAAAAAQCM/+wEqgWwABIANwCyEAAAK7EGA+myAQIAK7AKMwGwEy+wANaxAwvpsAMQsQkBK7EMC+mxFAErsQkDERKwEDkAMDETETMRFBYzMjY1ETMRBgAPASIAjL6uoaOtwQH+/9wz7/7kAdAD4Pwmnq+ungPb/CLO/voQAgECAAEAHAAABP0FsAAGACEAsgYAACuyAAIAK7ADMwGwBy+xCAErALEABhESsAI5MDETMwkBMwEjHNEBngGg0v3kqgWw+08EsfpQAAEAPQAABu0FsAASAQYAshIAACuyDA0RMzMzsgACACu0AQUGCgskFzMBsBMvsADWsQEL6bABELEKASuxCwvpsRQBK7A2GrrBo/GdABUrCrAAELASwA6wARCwAsC6PZPujAAVKwoFsAUuDrAEwLEQFfkFsBHAusJR7vEAFSsKsA0uDrAPwLEIFfkFsAbAuj5q8dcAFSsKDrAKELAJwAWwCxCwDMC6wjTvXAAVKwuwBhCzBwYIEyuwDxCzDg8NEyuyBwYIIIogiiMGDhESObIODw0REjkAtwIEBwgJDg8QLi4uLi4uLi4BQA4CBAUGBwgJDA0ODxAREi4uLi4uLi4uLi4uLi4usEAaAQCxABIRErADOTAxEzMTFzcBMwEXNxMzASMBJwcBIz3A5hwpASCiARkoH+LB/p+v/tQXF/7JrwWw/BvArQP4/AiwxAPk+lAEJW9v+9sAAAAAAQA5AAAEzgWwAAsAJgCyAAAAK7AIM7ICAgArsAUzAbAML7ENASsAsQIAERKxBAo5OTAxMwkBMwkBMwkBIwkBOQHY/jPhAV8BXeL+NAHX5P6a/pgC3gLS/dICLv0u/SICOP3IAAEADwAABLsFsAAIADAAsgcAACuyAAIAK7ADMwGwCS+wB9axBgvpsQoBK7EGBxESsAI5ALEABxESsAI5MDETMwkBMwERIxEP3AF6AXza/grABbD9JQLb/G/94QIfAAAAAAEAVgAABHoFsAAJAC4AsgAAACuxBwPpsgQCACuxAwPpAbAKL7ELASsAsQcAERKwATmxBAMRErAGOTAxMzUBITUhFQEhFVYDHvzvA/f83wNBkASCno37ep0AAAAAAQCS/sgCCwaAAAcANQCwAC+xBQbpsAQvsQEG6QGwCC+wANa0BxEACwQrsAIysQUO6bQHEQALBCuwAzKxCQErADAxExEhFSMRMxWSAXm/v/7IB7iY+XiYAAEAKP+DAzgFsAADABEAsgACACsBsAQvsQUBKwAwMRMzASMosAJgsAWw+dMAAQAJ/sgBgwaAAAcAPgCwBy+xAAbpsAMvsQQG6QGwCC+wB9awAzK0BhEACwQrsAYQsQEO6bABL7AGELQHEQALBCuwBy+xCQErADAxFzMRIzUhESEJwcEBev6GoAaImPhIAAAAAAEAQALZAxQFsAAGABEAsgECACsBsAcvsQgBKwAwMRMBMwEjCwFAASt/ASqrv74C2QLX/SkB4v4eAAAAAAEABP9pA5gAAAADABoAsgAAACuxAwbpsgAAACsBsAQvsQUBKwAwMTMhFSEEA5T8bJcAAAABADkE2gHaBgAAAwAoALADL7QBCgAOBCsBsAQvsADWtAIRAAoEK7EFASsAsQEDERKwADkwMRMzEyM538KfBgD+2gAAAAIAbf/sA+oETgAeACgAjACyGAAAK7IcAAArsSIH6bIQAQArsQgG6bIIEAors0AIDAkrtAMnHBANK7EDBOkBsCkvsADWsR8O6bAMINYRsQsO6bAfELElASuwBDKxFA7psBgg1hGxFwvpsSoBK7ElCxESshAcIjk5ObAYEbAaOQCxIhgRErEWGjk5sCcRsRQAOTmxCAMRErATOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJjcUFjMyNjc1IyBtAQHptHRxY4a6c8V2u9QEJsIQCoGzoM25dFtXnCOR/qwBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtaVXYlpI3gAAAgCM/+wEIAYAAA4AGQBfALIAAAArsgsAACuxEQPpsgUBACuxFwPpsAEvAbAaL7AA1rEPDumwAjKxDgzpsA8QsRQBK7EIDumxGwErsQ8OERKwDTmwFBGxBQs5OQCxEQARErANObEFFxESsAM5MDEzETMRNiASERUUAiMiJwcTFjMyNjU0JiMiB4y5cAGK4eTAzXAJD1W0hZSSibdQBgD9w4v+1v79EPj+05F9ATOqzs+9zqoAAQBc/+wD7AROAB0AXACyGwAAK7ETBumyExsKK7NAExcJK7IFAQArsQwG6bIMBQors0AMCAkrAbAeL7AA1rEQDumwEBCxFgErsAkysRcN6bAIMrEfASuxFhARErEFGzk5sBcRsAc5ADAxEzU0PgEzMhYXIy4BIyIGHQEUFjMyNjczDgIjIgBcdNmUtvEIrwiPaY2bmo9jlAivBXbFbt3++wITH572iNquaYfLwCO7ynhaXahkAScAAAIAX//sA/AGAAAPABoAZQCyCgAAK7INAAArsRMD6bIEAQArsRgD6bAHLwGwGy+wANaxEA7psBAQsRUBK7AGMrEJDumwCRCxCgzpsAovsRwBK7EVEBESsQQNOTmwChGwCzkAsRMKERKwCzmxBBgRErAGOTAxEzU0EjMyFxEzESMnBiMiAjcUFjMyNxEmIyIGX+y/vm+5qglvxrztuZiGsFFTrIiYAhgO+QEvggI0+gB0iAE08bjQngHxmdIAAgBd/+wD8wROABUAHQBcALITAAArsQ0G6bIFAQArsRsG6bQWChMFDSuxFgbpAbAeL7AA1rEKDumwFjKwChCxFwErsQgO6bEfASuxFwoRErIFDRM5OTmwCBGxEBE5OQCxCg0RErEQETk5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEyE1LgEjIgZde92B0+r9IwSzimKIM3GI/vDc/uy/Ah4IiHRwmAH/IqH9j/7q/v1NoMVQQljRASEBcw6Nm6MAAQA8AAACygYVABUAWACyFAAAK7IBAQArsA8zsQAF6bARMrALL7EGA+kBsBYvsBTWsAIysRMO6bAOMrITFAors0ATEQkrshQTCiuzQBQACSuxFwErALELARESsAk5sAYRsAg5MDETNTM1NDYzMhcHJiMiBh0BMxUjESMRPKu6qkA/Ci81WmLn57kDq49vrr4RlglpYnKP/FUDqwAAAgBg/lYD8gROABkAJACAALIXAAArsR0D6bIGAQArsgMBACuxIgPpsAsvsREG6QGwJS+wANaxGg7psBoQsRQBK7AfMrEIDumwCBCxBgzpsAYvsSYBK7EaABESsQ4POTmwFBGzAxELFyQXObAGErAFOQCxFxERErEODzk5sB0RsBU5sCISsAA5sAYRsAU5MDETNBIzMhc3MxEUBiMiJic3FjMyNj0BBiMiAjcUFjMyNxEmIyIGYOrBxm8JqfnSdeA7YHesh5dvwL7rupaHr1JVqoeYAib9ASuMePvg0vJkV2+TmIpdgAEy87fRnwHum9IAAQCMAAAD3wYAABEARQCyAAAAK7AIM7IFAQArsQ0D6bABLwGwEi+wANaxEQ7psAIysBEQsQkBK7EIDumxEwErsQkRERKwBTkAsQUNERKwAzkwMTMRMxE2MyATESMRLgEjIgYHEYy5e8UBVwO5AWlvWogmBgD9t5f+ff01Asx1cGBO/P0AAgCNAAABaAXEAAgADABBALIJAAArsgMCACuxBwrpsgoBACsBsA0vsADWsQUR6bEFEemzCQUACCuxDA7psQ4BK7EMCRESswMGBwIkFzkAMDETNDYyFhQGIiYTETMRjTdsODhsNw+5BVktPj5aPDz61AQ6+8YAAAAAAv+//ksBWQXEAAwAFgBNALIQAgArsRUK6bIGAQArsAovsQID6QGwFy+wBdaxCA7psBIysAgQsQ0R6bANL7EYASuxCAURErEQFTk5ALECChESsAw5sAYRsAA5MDEDFjMyNjURMxEQISInEzQ2MzIWFAYiJkEgND5Buf7lPTTANzU2ODhsNv7xCENTBLv7Sf7IEgb8LD8+Wjw8AAAAAQCNAAAEDAYAAAwAMACyAAAAK7AIM7IFAQArsAEvAbANL7AA1rEMDumwAjKxDgErALEFABESsQMKOTkwMTMRMxE3ATMJASMBBxGNuWMBUeH+WwHW2f6HdAYA/F93AWT+PP2KAfV5/oQAAAAAAQCcAAABVQYAAAMAHwCyAAAAK7ABLwGwBC+wANaxAw7psQMO6bEFASsAMDEzETMRnLkGAPoAAAABAIsAAAZ4BE4AHQBsALIAAAArsQ0WMzOyAQEAK7IFAQArsAozsRoD6bASMgGwHi+wANaxHQ7psAIysB0QsRcBK7EWDumwFhCxDgErsQ0O6bEfASuxFx0RErAFObAWEbAHObAOErAKOQCxGgARErAHObABEbADOTAxMxEzFzYzMhc+ATMgExEjETQmIyIGBxEjETQjIgcRi68Fd8rjUjatdgFkBrlqfWeIC7rntkMEOniMrk5g/of9KwLKdHN7aP0yAsXsm/zqAAEAjAAAA98ETgARAEcAsgAAACuwCDOyAQEAK7IFAQArsQ0D6QGwEi+wANaxEQ7psAIysBEQsQkBK7EIDumxEwErsQkRERKwBTkAsQENERKwAzkwMTMRMxc2MyATESMRLgEjIgYHEYyvBnzIAVcDuQFpb1qIJgQ6iJz+ff01Asx1cGBO/P0AAAACAFv/7AQ0BE4ADwAbADoAsg0AACuxEwbpsgUBACuxGQbpAbAcL7AA1rEQDumwEBCxFgErsQkO6bEdASuxFhARErEFDTk5ADAxEzU0PgEzMgAdARQOASMiADcUFjMyNjU0JiMiBlt934/dARF54ZLc/u+6p4yNpqmMiagCGg2f/or+zv4NnvuMATLztNrdx7Ld2gAAAgCM/mAEHgROAA8AGgBfALIMAAArsRIG6bIBAQArsgUBACuxGAPpsAAvAbAbL7AA1rEPDumwEDKxAgzpsA8QsRUBK7EJDumxHAErsQ8CERKwAzmwFRGxDAU5OQCxEgwRErAOObEBGBESsAM5MDETETMXNjMyEhEVFAIjIicZARYzMjY1NCYjIgeMqQlxycPj4sHFcVOrhZ2ciKhU/mAF2niM/tr++hH3/tJ9/fcCt5TT0LfUlQAAAAIAX/5gA+8ETgAPABoAZQCyDQAAK7ETBumyBwEAK7IEAQArsRgG6bAKLwGwGy+wANaxEA7psBAQsQoBK7AVMrEJDumwCRCxBwzpsAcvsRwBK7EKEBESsQQNOTmwBxGwBjkAsRMNERKwCzmxBxgRErAGOTAxEzUQEjMyFzczESMRBiMiAjcUFjMyNxEmIyIGX+rFwG8IqrlwusTpuZ2FpVdYooaeAhkNAP8BKYFt+iYCBHgBMfS61JICEo/VAAAAAAEAjAAAApcETgANADQAsgAAACuyAQEAK7AHM7IFAQArsQoJ6QGwDi+wANaxDQ7psAIysQ8BKwCxAQoRErADOTAxMxEzFzYzMhcVJiMiBxGMtANbpzYcKjG2QQQ6fZEOrAeb/QAAAAAAAQBf/+wDuwROACYAbQCyIwAAK7EEBumyBCMKK7NABAAJK7IQAQArsRcG6bIXEAors0AXEwkrAbAnL7AN1rEaDumwACDWEbEBDumwGhCxBwErsBQysSAO6bATMrEoASuxBxoRErQEChAdIyQXOQCxFwQRErENIDk5MDETMx4BMzI2NTQmJC4BNTQ2MzIWFSM0JiMiBhUUFgQeARUUBiMiLgFfuQWLcml/cf7npU/hr7jluoFiZXJqARWsU+i5gshxAU1dbVVHS1M8VHRQhbi+lExuWEdDRD5WeVeRr1ylAAABAAn/7AJWBUAAFQBdALIRAAArsQwD6bIBAQArsAUzsQAF6bAHMrIBAAors0ABBAkrAbAWL7AU1rACMrEJDumwBDKyCRQKK7NACQcJK7AOMrIUCQors0AUAAkrsRcBKwCxAAwRErAOOTAxEzUzETMRMxUjERQWMzI3FQYjIiY1EQnFucrKNkEgOElFfH4Dq48BBv76j/1hQUEMlhSWigKfAAAAAAEAiP/sA9wEOgAQAEcAsgsAACuyDgAAK7EFA+myAQEAK7AIMwGwES+wANaxAw7psAMQsQcBK7ALMrEKDumxEgErsQcDERKwDjkAsQULERKwDDkwMRMRMxEUMzI3ETMRIycGIyImiLnI1Ea5sARs0a21AXoCwP1F9p4DE/vGa3/JAAAAAAEAIQAAA7oEOgAGACgAsgYAACuyAAEAK7ADMwGwBy+wA9axBAvpsQgBKwCxAAYRErACOTAxEzMJATMBIyG9ARMBDL3+fI0EOvzBAz/7xgAAAQArAAAF0wQ6AAwAkQCyDAAAK7EJCzMzsgABACuyAwQGMzMzAbANL7AA1rEBDumwARCxBgErsQcO6bEOASuwNhq6PRzs/QAVKwqwAy4OsALAsQoF+QWwC8C6wuLtAgAVKwqwCS6xCwoIsArADrEFBfkFsATAAwCyAgUKLi4uAbYCAwQFCQoLLi4uLi4uLrBAGrEGARESsQgMOTkAMDETMxsBMwETMwEjCQEjK7jV/JUBAdC5/sWW/vn/AJYEOvzWAyr8xQM7+8YDNPzMAAAAAAEAKQAAA8oEOgALACYAsgAAACuwCDOyAgEAK7AFMwGwDC+xDQErALECABESsQQKOTkwMTMJATMbATMJASMLASkBbf6e1u3w2P6eAW3W+voCIwIX/nUBi/3p/d0Blf5rAAEAFv5LA7AEOgAPAGQAsgABACuwAzMBsBAvsAPWsQQQ6bERASuwNhq6+uXANAAVKwoOsAkQsAbAsQoW+bALwLAJELMHCQYTK7IHCQYgiiCKIwYOERI5ALMHCQoLLi4uLgGzBwkKCy4uLi6wQBoBADAxEzMBEzMBAiMvATUXMjY/ARbKAQ78xv5NZdwjRTJeaSIpBDr81QMr+x/+8gMNlgRMZW4AAQBYAAADswQ6AAkALgCyAAAAK7EHBumyBAEAK7EDBukBsAovsQsBKwCxBwARErABObEEAxESsAY5MDEzNQEhNSEVASEVWAJV/bQDNP2lAnmIAxmZg/zglwAAAAABAED+kgKeBj0AGABUALATL7QSBAAhBCuwAC+xAQXpsAgvtAcEACEEKwGwGS+wFtawAzKxEA7psAoysRoBK7EQFhESsA05ALEAEhESsQ8WOTmwARGwDTmwCBKxBQs5OTAxEzUyPQE+ATcXBhEVFAcWHQESFwcuAT0BNEDUAq+zJtGnpwPOJrGzAh+R8tC34TNzQ/7myuNZWuXO/u1CczLlvMfzAAEAr/7yAUQFsAADACIAsgECACsBsAQvsADWtAMMABsEK7QDDAAbBCuxBQErADAxExEzEa+V/vIGvvlCAAEAE/6SAnIGPQAYAFQAsBgvtAAEACEEK7ASL7ERBemwCi+0CwQAIQQrAbAZL7AC1rAHMrEVDumwDjKxGgErsRUCERKwBTkAsRIAERKxAxU5ObAREbAFObAKErEHDjk5MDEXNhM1NDcmPQEQJzceARcVFDMVIh0BFAYHE8sHtbXRJrGyAdTUta/7QQEK3OdUUunLARpDczLhudLvkfPKvOIyAAAAAQCDAZIE7wMiABcAWQCwDy+xCAfpsggPCiuzQAgMCSuwFC+xAwfpshQDCiuzQBQACSsBsBgvsADWsRcM6bAXELELASu0DAwAJgQrsRkBK7ELFxESsQMPOTkAsRQIERKxBhI5OTAxEzQ2MzIeAR8BMjY1NxQGIyIuAiMiBhWDuItMjLBAHUxfmbuJSICpSipOVAG0oM5AoQoCdF8Bntk1lCRrXgACAIv+mAFmBE0ACAAMAEgAsgMBACuxCArpAbANL7AB1rEFEemzCwUBCCuxCgzpsAovsQsM6bEMC+mwDBCxARHpsAEvsQ4BK7ELChESswMHCAIkFzkAMDESNDYyFhUUBiIDEzMTizhsNzdsJg2oDQO3Wjw8LS0++x8EFPvsAAAAAAEAaf8LA/kFJgAhAHUAsB4vtBUKAAsEK7AOL7QFCgAMBCsBsCIvsADWsRIO6bASELEeASuwBDKxHQ7psAYysB0QsRgBK7ALMrEZDemwCjKxIwErsR0eERKxDhU5ObAYEbAMOQCxFR4RErEcHzk5sA4RsgoYGTk5ObAFErEEBzk5MDETNTQSNzUzFR4BFyMuASMiBh0BFBYzMjY3Mw4BBxUjNSYCacqxuZbABq8Ij2mNm5uNZJQIrwbGkLmzyAIPI9QBHSHi3xfUlmmHy8Aju8p5WX7JGunqIgEcAAABAFsAAARoBcQAIQCEALIaAAArsRsD6bAXMrIGAgArsQ0D6bQAARoGDSuwETOxAAPpsBMyswoaBggrAbAiL7Ah1rACMrEUC+mwEDKyIRQKK7NAIQAJK7AhELAfINYRsRUL6bIVHwors0AVEwkrsBQQsQoBK7EJC+mxIwErsRQfERKwFzmxChURErEGDTk5ADAxEzUzAzQ2MzIWFSM0JiMiBhUTIRUhFxQHIQchNTM+ATc1J1ugCfXIvt6/f29pggkBP/7GCD4C3QH7+E0oMgIIAm6dAQTH7tSxa3yaff78ndyaW52dCYNgCN0AAAIAaf/lBVsE8QAbACoAeQCyGAAAK7EVGzMzsSAI6bAnL7EKCOkBsCsvsAPWsRwM6bAcELEjASuxEQ3psSwBK7EcAxESswEFBxskFzmwIxGzCAwWGiQXObARErMNDxMVJBc5ALEgGBESsxQAFhokFzmwJxGzAQUPEyQXObAKErMGCAwOJBc5MDE/ASY1NDcnNxc2MzIXNxcHFhUUBxcHJwYjIicHExQeATI+ATU0LgEjIg4BaYtocJOCk57DxJ+VhJduZo+EiJ/Rz5+GTHPE4sRxccVwccRzbY2cys6jl4iWeHmYiZqjy8SfkIiLhIKIAnp71Hp703t603l41AAAAAABAA8AAAQkBbAAFgB0ALIOAAArsgACACuwAzO0EBEOAA0rsAkzsRAE6bALMrQUFQ4ADSuwBTOxFATpsAcyAbAXL7AO1rASMrENC+mwCDKyDQ4KK7NADQcJK7AKMrIODQors0AOFAkrsBAysRgBK7ENDhESsAI5ALEAFRESsAI5MDETMwkBMwEhFSEVIRUhESMRITUhNSE1IQ/YATQBNNX+kQEF/rwBRP68wf7CAT7+wgEHBbD9aQKX/TB9pXz+vgFCfKV9AAAAAAIAk/7yAU0FsAADAAcAIgCyBQIAKwGwCC+wANawBDKxAw7psAYysQMO6bEJASsAMDETETMRAxEzEZO6urr+8gMX/OkDyAL2/QoAAAACAFr+EQR5BcQANABEAJAAshYCACuxHQbpsh0WCiuzQB0ZCSuwMC+xBAbpAbBFL7AO1rAAMrE1DumwATKwEyDWEbEgDumwNRCxPQErsSgO6bAHINYRsS0O6bA9ELAaINYRsRkO6bFGASuxNRMRErAQObEHIBESQAoECxYdJDA5OkBCJBc5sT0aERKwKjkAsR0EERK1AAETLTpCJBc5MDEXNxQWMzI2NTQmJy4CNTQ3LgE1NCQzMgQVIzQmIyIGFRQeAQQeAhUUBx4BFRQEIyImJyYTFB4BBBc+ATU0JicmJw4BWrq0nIimjtG2wF22QkcBC97oAQS5qIuOoTiHAR+pcTq6RUj+/ORwyUaLwDaFARwsTlSL2lpLUEtAAoKXdWBZaT4wb5tvulgxiGSmyOLNfZtzYkVQQVBIYYFZvVUxiGSoxzg5cQM2RlBCUhEUZUVYbUIYGxNlAAIAZQTwAu4FxQAIABEAQACyAwIAK7ALM7EHCumwDzKyAwIAK7EHCukBsBIvsADWsQUR6bAFELEJASuxDhHpsRMBKwCxAwcRErEJDjk5MDETNDYyFhQGIiYlNDYyFhQGIiZlN2w4OGw3Aa43bDg4bDcFWy09PVo8PCstPj5aPDwAAwBb/+sF5gXEAA4AHQA5AKgAsgsAACuxEwTpsgQCACuxGgTptDcwCwQNK7E3BOmyMDcKK7NAMDQJK7QiKQsEDSuxIgTpsikiCiuzQCklCSsBsDovsADWtA8MABAEK7APELEeASu0LQwAGwQrsC0QsTMBK7AmMrQ0DAAbBCuwJTKwNBCxFgErtAcMABAEK7E7ASuxMy0RErcDEhMaCykiNyQXObA0EbAEOQCxKTARErMHDxYAJBc5MDETNBIkIAQSFRQCBCMiJAI3FBIEICQSNTQCJCMiBAIXNTQ2MzIWFSM0JiMiBh0BFBYzMjY1MxQGIyImW7sBSwGAAUq7tP61xsX+tbZzoAETAUABEqCe/u2hoP7sn+y/m6Cskl9bXmxsXlxdkq2enb0C2coBWsfH/qbKxf6o0c8BWMes/tumpgElrKoBIqel/tzfbrDTpJVjVYp7cXiKVGWZodMAAgCTArMDDwXEABsAJQBxALIOAgArsQcF6bAZL7EeBOmwIy+0AwQAIQQrAbAmL7AA1rALMrEcDOmwCjKwHBCxIQErsAQysRIM6bEnASuxIRwRErEOGTk5sBIRsRUXOTkAsR4ZERKxFBc5ObAjEbESADk5sQcDERKyCgsROTk5MDETNDY7ATU0IyIGFSc0NjMyFhURFBcjJicGIyImNxQzMjY3NSMOAZOnrGx8RU+hrImFmhqlDAZMgHeCo30rWBxwU1kDlm94NIc2Mwxngo+G/sRhUSImVnxrXigbjgE/AAACAGYAlwNkA7MABgANAAATNQEzCQEjEzUBMwkBI2YBJ43+/gECjSMBJ43+/gECjQIbEwGF/nH+cwGEEwGF/nH+cwAAAAEAfwF3A74DIAAFADAAsAAvsQEH6bIAAQors0AABAkrAbAGL7AE1rEDDumyBAMKK7NABAAJK7EHASsAMDETNSERIxF/Az+6An+h/lcBCAAAAQAlAh8CDQK2AAMAIgCwAC+xAQbpsQEG6QGwBC+xAAErtAMRAAkEK7EFASsAMDETNSEVJQHoAh+XlwAABABa/+sF5QXEAA4AHgA0AD0AugCyCwAAK7ETBOmyBAIAK7EbBOm0MzULBA0rsTME6bIzNQors0AzHwkrsCwytCE9CwQNK7EhBOkBsD4vsADWtA8MABAEK7APELEfASu0NAwAGwQrsDUysDQQsTkBK7AtMrQkDAAbBCuwKDK0LAwAGwQrsCQQsRcBK7QHDAAQBCuxPwErsTQfERKwAzmwORGyExsLOTk5sCQSsQQmOTkAsTMTERKwKDmwNRG0Bw8XACYkFzmwPRKwJDkwMRM0EiQgBBIVFAIEIyIkAjcUEgQzMiQSNTQCJCMiBAIBESEyFhUUBxYXFRQXFSMmNCcmJyMZATM+ATU0JisBWrsBSwGAAUq7tP61xsX+tbZzoAEToKEBFJ2d/uyhoP7snwEzARSZqYB6ARGRDgMQc7CcSFhOZIoC2coBWsfH/qbKxf6o0c8BWMes/tumqQEirKsBIael/tz9uQNRg317QTKaPVYmECS5EWAE/q4B0gJCNkk9AAAAAAEAjgUWAy4FpQADACIAsAAvsQEF6bEBBekBsAQvsQABK7QDEQAHBCuxBQErADAxEzUhFY4CoAUWj48AAAIAggPAAnwFxAALABYASgCyAwIAK7EVBOmyDwEAK7EJBOkBsBcvsADWtA0MABAEK7ANELESASu0BgwAEAQrsRgBK7ESDRESsQkDOTkAsRUPERKxBgA5OTAxEzQ2MzIWFRQGIyImNhQWMzI2NTQmIyKClWpok5NoaZZ9Szc2Sko2NwTAaJybaWqWlqBsSkc5OksAAAACAGEAAAP1BPMACwAPAFsAsgwAACuxDQbpsAAvsAczsQEG6bAFMrIAAQors0AACgkrsgEACiuzQAEDCSsBsBAvsArWsAIysQkM6bAEMrIJCgors0AJBwkrsgoJCiuzQAoACSuxEQErADAxEzUhETMRIRUhESMRATUhFWEBgacBbP6Up/6lA0MCv5cBnf5jl/5iAZ79QZiYAAEAQgKbAqsFuwAWAG8AsgMCACuxEwTpshMDCiuzQBMACSuwDC+xCQTpAbAXL7AA1rEWDOmwFhCxEAErsQUM6bIFEAors0AFCwkrshAFCiuzQBAMCSuxGAErsRAWERKxAgk5ObAFEbADOQCxCQwRErANObATEbEFEDk5MDETNDYgFhUUDwIhFSE1ATY1NCYjIgYVQqcBCJprVLABj/2pASxtQDxLRwS1cpR/bmhrT5GAbAEaZkUxPUw5AAAAAQA+ApACmgW7ACYAiQCyGQIAK7ESBOmyEhkKK7NAEhYJK7AkL7EEBOmyBCQKK7NABAAJK7AKL7QLBAAhBCsBsCcvsADWsBYysQEM6bAVMrABELEHASuwDzKxIQzpsBwysgchCiuzQAcKCSuxKAErsQcBERKxGSQ5ObAhEbAfOQCxCgQRErAhObALEbAfObASErAcOTAxEzMUFjMyNjU0JyM1MzI2NTQmIyIGFSM0NjMyFhUUBgcWFRQGIyImPp5PQ0ZJnFhUSkg/RjlLnaN8iZxGQpWqiISmA3ktPDwzcQJ0PTAtOjMpYnt5aDdbGSmPan1+AAEAewTaAhwGAAADACAAsAAvtAEKAA4EKwGwBC+wANa0AhEACgQrsQUBKwAwMRsBMwF7weD+9ATaASb+2gAAAAABAJr+YAPuBDoAEgBcALIMAAArsg8AACuxBgbpsgEBACuwCTOwAC8BsBMvsADWsRIO6bACMrASELEIASuxCw7psAsQsQwM6bAML7EUASuxCBIRErAPObAMEbANOQCxBgwRErENETk5MDETETMRHgEzMjcRMxEjJwYjIicRmrkBZ3THPrqnCV2qk1H+YAXa/YejnJgDIPvGc4dJ/isAAAAAAQBDAAADQAWwAAoANwCyBgAAK7IDAgArAbALL7AA1rQEEQAHBCuwBBCxBg7psAYvsAQQtAARAAcEK7AAL7EMASsAMDETNAAzIREjESMiJEMBCuYBDbpU5v73A9zVAP/6UAII/gAAAAABAJMCawF5A0kACQAiALAIL7EDCumxAwrpAbAKL7AA1rEFEemxBRHpsQsBKwAwMRM0NjIWFRQGIiaTOXI7O3I5AtkwQEAwLz8/AAAAAQB0/k0BqgAAAA4APwCyBwAAK7EGBOmwDi+0AAQAIQQrAbAPL7AD1rQLDAAbBCuxEAErsQsDERKwCDkAsQYAERKwCzmwBxGwCTkwMRMyNjU0Jic3MwcWFRQGI3RPV0BiIIUMmaCP/rg0LywqCYY0G5JhcQABAHoCmwHvBbAABgArALICAgArAbAHL7AF1rEEDOmyBQQKK7NABQEJK7EIASuxBAURErACOQAwMRM1JTMRIxF6AWMSnQS7gHX86wJZAAAAAAIAegKyAycFxAAMABoAOgCyBAIAK7EXBemwCy+xEAXpAbAbL7AA1rENDOmwDRCxEwErsQgM6bEcASuxEw0RErIKCwQ5OTkAMDETNTQ2MzIWHQEUBiAmNxQWMzI2PQE0JiMiBgd6vJqbvLv+zL6jYVRTX2FTUWACBBlKnsPBpkqfwsKfZHJzZU5jcm5hAAAAAAIAZgCYA3gDtQAGAA0AADcJATMBFQEzCQEzARUBZgEC/v6OASf+2c8BAv7+jgEn/tmYAY4Bj/57E/57AY4Bj/57E/57AAAAAAQAVQAABZEFrQAGAAoAFQAZAH4AshMAACuwFS+wEDOxFgTpsA4yshYVCiuzQBYMCSsBsBovsAXWsQQM6bIFBAors0AFAQkrsAQQsRMBK7AXMrESDOmwDTKyExIKK7NAEwsJK7EbASuxBAURErICBwo5OTmwExGzCAkMFiQXOQCxFRMRErAKObAWEbEHCzk5MDETNSUzESMREwEXASUBMxEzFSMVIzUhNzMRB1UBYxKdJgLHaP05AVEBeaFra53+iZjfEQS4gHX86wJZ+8cEckL7jpkCBv4WgqmpggEhHAAAAwBQAAAFyQWtAAYACgAhAKwAshcAACuxFATpsB4vsAQzsQ4E6bIeDgors0AeCwkrsg4eCiuzQA4CCSsBsCIvsAXWsAcysQQM6bIFBAors0AFAQkrsAQQsQsBK7EhDOmwIRCxGwErsRAM6bIQGwors0AQFgkrshsQCiuzQBsXCSuxIwErsQQFERKxAgo5ObEhCxESsAg5sBsRsg0UCTk5ObAQErAOOQCxFBcRErEKGDk5sB4RsgcQGzk5OTAxEzUlMxEjEQMBFwkBNDYgFhUUDwIhFSE1ATY1NCYjIgYVUAFjEp0BAsdo/TkB0acBCJprVLABj/2pASxtQDxLRwS4gHX86wJZ+8cEckL7jgGkcpR/bmhrT5GAbAEaZkUxPUw5AAAAAAQAbwAABe0FuwAmACoANQA5APQAsjMAACuyGQIAK7ESBOmyEhkKK7NAEhYJK7Q1NjMZDSuwLjOxNQTpsDAytCQEMxkNK7AsM7EkBOmyBCQKK7NABAAJK7QLCjMZDSu0CwQAIQQrAbA6L7AA1rAWMrEBDOmwFTKwARCxBwErsA8ysSEM6bAcMrIHIQors0AHCgkrsCEQsTMBK7A3MrEyDOmwLTKyMzIKK7NAMysJK7E7ASuxBwERErIZJCc5OTmwIRGxHyo5ObAzErIoLDY5OTmwMhGwKTkAsTUzERKwKjmwNhGxJys5ObAkErA4ObEKBBESsCE5sAsRsB85sBISshwoKTk5OTAxEzMUFjMyNjU0JyM1MzI2NTQmIyIGFSM0NjMyFhUUBgcWFRQGIyImCQEXASUBMxEzFSMVIzUhNzMRB2+eT0NGSZxYVEpIP0Y5S52jfImcRkKVqoiEpgFjAsdo/TkBLgF5oWtrnf6JmN8RA3ktPDwzcQJ0PTAtOjMpYnt5aDdbGSmPan1+/aoEckL7jpkCBv4WgqmpggEhHAAAAgBE/n8DeARNABgAIgB3ALISAAArsgAAACuyHAEAK7EhCumwFi+xDwfpAbAjL7AA1rEMDumwDBCxBQErsQYO6bAeMrAGELEZEemwGS+wBhCxEgErsRMO6bEkASuxDAARErACObAZEbEKAzk5sQYFERKzDxYbISQXOQCxIRIRErEFCjk5MDEXND8BNjUzDgMPARQWMzI2NTMOASMiJgE0NjIWFRQGIiZEoG1CuQEpYLgLAnRtZH25AuG3xNYBNThsNzdsOAWtr3FOkmp/dsFjJW1zcVuhzMkEnSw8PCwtPj4AAAAAAwAcAAAFHQc2AAcACwAOACwAsgAAACuwAzOyAQIAK7QGDAABDSuxBgPpAbAPL7EQASsAsQEMERKwDjkwMTMBMwEjAyEDEzMTIwMhAxwCLKgCLcWL/Z6Jh9/Cn8YB7/gFsPpQAXz+hAc2/tr8CgKpAAMAHAAABR0HNgAHAAoADgAsALIAAAArsAMzsgECACu0BggAAQ0rsQYD6QGwDy+xEAErALEBCBESsAo5MDEzATMBIwMhAxMhCwETMwEcAiyoAi3Fi/2eicMB7/hiweD+9AWw+lABfP6EAhoCqQFNASb+2gAAAwAcAAAFHQc2AAcAEAATACwAsgAAACuwAzOyAQIAK7QGEQABDSuxBgPpAbAUL7EVASsAsQERERKwEzkwMTMBMwEjAyEDEzUTMxMVIycHAyEDHAIsqAItxYv9nomQ9nD3mZaVZgHv+AWw+lABfP6EBhoMARD+7gqqqvwAAqkAAAADABwAAAUdByIABwAfACIAewCyAAAAK7ADM7IBAgArtAYgAAENK7EGA+mwFy+xEAXpsxwQFwgrsQsF6QGwIy+wCNa0HwwAEAQrsB8QsRMBK7QUDAAQBCuxJAErsR8IERKxBiA5ObATEbQBCwIXIiQXObAUErEFITk5ALEBIBESsCI5sBcRsQgfOTkwMTMBMwEjAyEDEzQ2MzIeAjMyNjUXFAYjIi4CIyIGFQMhAxwCLKgCLcWL/Z6JXnldIzhgMx8rOXx7XCk8YSscKToXAe/4BbD6UAF8/oQGGmuMFDoSRC0MbIYUPg0/MfwHAqkAAAAEABwAAAUdBvsABwAQABMAHABxALIAAAArsAMzsgECACu0BhEAAQ0rsQYD6bAPL7AaM7ELCumwFjIBsB0vsAjWsQ0R6bANELEUASuxGRHpsR4BK7ENCBESsQYROTmwFBGyAQITOTk5sBkSsQUSOTkAsQERERKwEzmxCw8RErEUGTk5MDEzATMBIwMhAxM0NjIWFAYiJhMhAxM0NjIWFAYiJhwCLKgCLcWL/Z6JfDdsODhsN0cB7/hwN2w4OGw3BbD6UAF8/oQGkS09PVo8PPu2AqkBzC0+Plo8PAAABAAcAAAFHQeRAAcACgAUAB8AcwCyAAAAK7ADM7IBAgArtAYIAAENK7EGA+mwEy+0GAQAFAQrsB0vtA4EABQEKwGwIC+wDNa0FQwAEAQrsBUQsRsBK7QQDAAQBCuxIQErsRsVERK1AQINDgoTJBc5ALEBCBESsAo5sR0YERKyCwwQOTk5MDEzATMBIwMhAxMhAwI0NjIWFRQGIyInFBYzMjY0JiMiBhwCLKgCLcWL/Z6JwwHv+NN7uHt8W1wYQzEwREMxMkIFsPpQAXz+hAIaAqkBqKx6elZXdcwvREJiRUYAAAAAAv/yAAAHVwWwAA8AEgB8ALIMAAArsAAzsQkG6bIBAgArsQQG6bQOEAwBDSuxDgnptAUIDAENK7EFBukBsBMvsBLWsQQO6bAEELAJINYRsQwN6bAML7EJDemyCQwKK7NACQcJK7NACQsJK7AMELARINYRsA0zsQgN6bAFMrEUASsAsQQFERKwEjkwMSMBIRUhEyEVIRMhFSEDIQMBIQMOA3ADt/1NFAJO/bgWAsH8jQ/9zM0BMgHIHwWwmP4pl/3tlwFh/p8CDwLdAAAAAgB3/kQE2AXEABwAKwCNALIaAAArtCQEABQEK7IFAgArsQwD6bIMBQors0AMCQkrsCsvtB0EACEEKwGwLC+wANaxEAvpsBAQsSABK7QoDAAbBCuwKBCxFgErsAkysRcL6bAIMrEtASuxIBAREkAJDAUTGh0jJCYrJBc5sCgRsCU5ALEaHRESsiMmKDk5ObEMJBESshMWFzk5OTAxEzU0EiQzMgAXIy4BIyICHQEUEjMyNjczBgQjIAABMjY1NCYnNzMHFhUUBiN3kQEKr+gBGBfBGaeWuNHGsqCrHMEb/uHu/v7+yQHPT1dAYiCFDJmgjwKUjMsBNKX+/eWunP7w+43t/uiRtOf7AXL9UTQvLCoJhjQbkmFxAAIAqQAABEYHQgALAA8ATwCyAAAAK7EJA+myAQIAK7EEA+m0BQgAAQ0rsQUD6QGwEC+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuxEQErsQkAERKwDDkAMDEzESEVIREhFSERIRUBMxMjqQOT/S0Cd/2JAt387t/CnwWwnv4snf38nQdC/toAAgCpAAAERgdCAAsADwBHALIAAAArsQkD6bIBAgArsQQD6bQFCAABDSuxBQPpAbAQL7AA1rEJC+mwBDKyCQAKK7NACQMJK7AKMrNACQcJK7ERASsAMDEzESEVIREhFSERIRUBEzMBqQOT/S0Cd/2JAt39v8Hg/vQFsJ7+LJ39/J0GHAEm/toAAAIAqQAABEYHQgALABQAUQCyAAAAK7EJA+myAQIAK7EEA+m0BQgAAQ0rsQUD6QGwFS+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuxFgErsQkAERKxDA05OQAwMTMRIRUhESEVIREhFQE1EzMTFSMnB6kDk/0tAnf9iQLd/Pf2cPeZlpUFsJ7+LJ39/J0GJgwBEP7uCqqqAAMAqQAABEYHBwALABQAHQCFALIAAAArsQkD6bIBAgArsQQD6bQFCAABDSuxBQPpsBMvsBszsQ8K6bAXMgGwHi+wANaxCQvpsAQysgkACiuzQAkDCSuwCjKzQAkHCSuzDAkACCuxERHpsAkQsRUBK7EaEemxHwErsQkMERKxDhM5ObAREbEPEjk5ALEPExESsRUaOTkwMTMRIRUhESEVIREhFQE0NjIWFAYiJiU0NjIWFAYiJqkDk/0tAnf9iQLd/OM3bDg4bDcBrjdsODhsNwWwnv4snf38nQadLT09Wjw8Ky0+Plo8PAAC/+AAAAGBB0IAAwAHACcAsgQAACuyBQIAKwGwCC+wBNaxBwvpsQkBK7EHBBESsQEDOTkAMDEDMxMjAxEzESDfwp8rwAdC/tr55AWw+lAAAAIAsAAAAlEHQgADAAcAKgCyBAAAK7IFAgArAbAIL7AE1rAAMrEHC+mxCQErsQcEERKxAQM5OQAwMRsBMwEDETMRsMHg/vSOwAYcASb+2vnkBbD6UAAAAAAC/+kAAAJGB0IACAAMACkAsgkAACuyCgIAKwGwDS+wCdaxDAvpsQ4BK7EMCRESsgMCBzk5OQAwMQM1EzMTFSMnBxMRMxEX9nD3mZaVNcAGJgwBEP7uCqqq+doFsPpQAAAD/9UAAAJeBwcACAAMABUASgCyCQAAK7IKAgArsAcvsBMzsQMK6bAPMgGwFi+wANaxBRHpsAUQsQkBK7EMC+mwDBCxDQErsRIR6bEXASsAsQMHERKxDRI5OTAxAzQ2MhYUBiImExEzERM0NjIWFAYiJis3bDg4bDfiwAw3bDg4bDcGnS09PVo8PPmQBbD6UAabLT4+Wjw8AAIABwAABOQFsAAPAB0AXQCyDgAAK7EQA+myAwIAK7EZA+m0AQAOAw0rsBwzsQEG6bAaMgGwHi+wDtawAjKxEAvpsBkyshAOCiuzQBAcCSuyDhAKK7NADgAJK7AQELEUASuxCQvpsR8BKwAwMRM1MxEhMgQSFxUUAgQHIRETMzISNzU0AicjETMVIwfAAZu+ASSfAZ/+2cT+bcDJ3vcB6dbg/PwCmpcCf6j+ysldzv7KpgICmv4DARL5XfgBEwL+H5cAAAACAKkAAAUIByIACQAhAIcAsgAAACuwBjOyAQIAK7AEM7AZL7ESBemzHhIZCCuxDQXpAbAiL7AA1rEJC+mwCRCxCgErtCEMABAEK7AhELEVASu0FgwAEAQrsBYQsQMBK7EGC+mxIwErsQkAERKwAjmxFSERErENGTk5sQMWERKwBzkAsQEAERKxAwg5ObAZEbEKITk5MDEzETMBETMRIwEREzQ2MzIeAjMyNjUXFAYjIi4CIyIGFanBAt+/wf0jDHldIzhgMx8rOXx7XCk8YSscKToFsPuZBGf6UARi+54GGmuMFDoSRC0MbIYUPg0/MQADAHb/7AUJBzgAEQAfACMAPQCyDgAAK7EVB+myBQIAK7EcCOkBsCQvsADWsRIL6bASELEYASuxCgvpsSUBK7EYEhESsw4FICIkFzkAMDETNTQSJDMyBBIdARQCBCMiJAI3FBIzMhI3NRACIyICBxMzEyN2kgELrK8BC5CQ/viwrP72k73TubrMA9C7ttEDVt/CnwKcadIBQqup/r/VXNb+waipATnb+/7hAQ/9bAEDARX+6/YEJP7aAAAAAAMAdv/sBQkHOAARAB8AIwA9ALIOAAArsRUH6bIFAgArsRwI6QGwJC+wANaxEgvpsBIQsRgBK7EKC+mxJQErsRgSERKzDgUgIiQXOQAwMRM1NBIkMzIEEh0BFAIEIyIkAjcUEjMyEjc1EAIjIgIHARMzAXaSAQusrwELkJD++LCs/vaTvdO5uswD0Lu20QMBJ8Hg/vQCnGnSAUKrqf6/1VzW/sGoqQE52/v+4QEP/WwBAwEV/uv2Av4BJv7aAAAAAAMAdv/sBQkHOAARAB8AKAA9ALIOAAArsRUH6bIFAgArsRwI6QGwKS+wANaxEgvpsBIQsRgBK7EKC+mxKgErsRgSERKzDgUgJCQXOQAwMRM1NBIkMzIEEh0BFAIEIyIkAjcUEjMyEjc1EAIjIgIHEzUTMxMVIycHdpIBC6yvAQuQkP74sKz+9pO907m6zAPQu7bRA1/2cPeZlpUCnGnSAUKrqf6/1VzW/sGoqQE52/v+4QEP/WwBAwEV/uv2AwgMARD+7gqqqgAAAwB2/+wFCQckABEAHwA3AHYAsg4AACuxFQfpsgUCACuxHAjpsC8vsSgF6bM0KC8IK7EjBekBsDgvsADWsRIL6bASELEgASu0NwwAEAQrsDcQsSsBK7QsDAAQBCuwLBCxGAErsQoL6bE5ASuxKzcRErUFFRwjDi8kFzkAsS8FERKxIDc5OTAxEzU0EiQzMgQSHQEUAgQjIiQCNxQSMzISNzUQAiMiAgcTNDYzMh4CMzI2NRcUBiMiLgIjIgYVdpIBC6yvAQuQkP74sKz+9pO907m6zAPQu7bRAy15XSM4YDMfKzl8e1wpPGErHCk6Apxp0gFCq6n+v9Vc1v7BqKkBOdv7/uEBD/1sAQMBFf7r9gMIa4wUOhJELQxshhQ+DT8xAAAAAAQAdv/sBQkG/QARAB8AKAAxAGoAsg4AACuxFQfpsgUCACuxHAjpsCcvsC8zsSMK6bArMgGwMi+wANaxEgvpsBIQsSABK7ElEemwJRCxKQErsS4R6bAuELEYASuxCgvpsTMBK7EpJRESswUVHA4kFzkAsSMnERKxKS45OTAxEzU0EiQzMgQSHQEUAgQjIiQCNxQSMzISNzUQAiMiAgcTNDYyFhQGIiYlNDYyFhQGIiZ2kgELrK8BC5CQ/viwrP72k73TubrMA9C7ttEDSzdsODhsNwGuN2w4OGw3Apxp0gFCq6n+v9Vc1v7BqKkBOdv7/uEBD/1sAQMBFf7r9gN/LT09Wjw8Ky0+Plo8PAABAFkAzgPdBGMACwAAEwkBNwkBFwkBBwkBWQFK/rh3AUkBSXf+uAFKd/61/rUBSQFQAU97/rEBT3v+sf6wewFR/q8AAAMAdv+jBR0F7AAXACAAKQBpALIRAAArsSMH6bIFAgArsR0I6QGwKi+wANaxGAvpsBgQsSYBK7ENC+mxKwErsRgAERKxFBY5ObAmEbUHERMFGyEkFzmwDRKxCAo5OQCxIxERErETFjk5sB0RsgoaKTk5ObAFErAHOTAxEzU0EiQzMhc3MwcWExUUAgQjIicHIzcmExQXASYjIgIHExYzMhI3NTQndpIBC6zWlGeNn4kCkP74sKuDYY6Qvr9iAjRmprbRA7hbebrMAzgCslPSAUKrfaX/u/7aY9b+wahSm+fAAV/0jQOIb/7r9v27QAEP/Wy2gwACAIz/7ASqBzYAEgAWADsAshAAACuxBgPpsgECACuwCjMBsBcvsADWsQML6bADELEJASuxDAvpsRgBK7EJAxESshATFTk5OQAwMRMRMxEUFjMyNjURMxEGAA8BIgATMxMjjL6uoaOtwQH+/9wz7/7k1t/CnwHQA+D8Jp6vrp4D2/wizv76EAIBAgZI/toAAAACAIz/7ASqBzYAEgAWADsAshAAACuxBgPpsgECACuwCjMBsBcvsADWsQML6bADELEJASuxDAvpsRgBK7EJAxESshATFTk5OQAwMRMRMxEUFjMyNjURMxEGAA8BIgABEzMBjL6uoaOtwQH+/9wz7/7kAafB4P70AdAD4Pwmnq+ungPb/CLO/voQAgECBSIBJv7aAAAAAgCM/+wEqgc2ABIAGwA7ALIQAAArsQYD6bIBAgArsAozAbAcL7AA1rEDC+mwAxCxCQErsQwL6bEdASuxCQMRErIQExc5OTkAMDETETMRFBYzMjY1ETMRBgAPASIAEzUTMxMVIycHjL6uoaOtwQH+/9wz7/7k3/Zw95mWlQHQA+D8Jp6vrp4D2/wizv76EAIBAgUsDAEQ/u4KqqoAAwCM/+wEqgb7ABIAGwAkAGYAshAAACuxBgPpsgECACuwCjOwGi+wIjOxFgrpsB4yAbAlL7AA1rEDC+mwAxCxEwErsRgR6bAYELEcASuxIRHpsCEQsQkBK7EMC+mxJgErsRwYERKxEAY5OQCxFhoRErEcITk5MDETETMRFBYzMjY1ETMRBgAPASIAEzQ2MhYUBiImJTQ2MhYUBiImjL6uoaOtwQH+/9wz7/7kyzdsODhsNwGuN2w4OGw3AdAD4Pwmnq+ungPb/CLO/voQAgECBaMtPT1aPDwrLT4+Wjw8AAACAA8AAAS7BzYACAAMADcAsgcAACuyAAIAK7ADMwGwDS+wB9awCTKxBgvpsQ4BK7EGBxESsgIKDDk5OQCxAAcRErACOTAxEzMJATMBESMRAxMzAQ/cAXoBfNr+CsACweD+9AWw/SUC2/xv/eECHwPxASb+2gAAAAACAKYAAARdBbAADQAWAEsAsgAAACuyAQIAK7QMDgABDSuxDAbptAMWAAENK7EDBukBsBcvsADWsQ0O6bECDjIysA0QsRIBK7EIDumxGAErALEWDhESsAg5MDEzETMRITIeARUUBCMhGQEhMjY1NCYnIaa6AReT3Hf++OP+7gEVjqCgiP7lBbD+22nCfsLn/scB0Zd4e5cBAAEAi//sBGoGEgAqAIQAsgAAACuyEgAAK7EZBumwJy+xBAbpAbArL7AA1rEqDumwKhCxJAErsQcN6bMKByQIK7EhDumwIS+xCg7psAcQsRwBK7EPDumxLAErsSEqERKzBBYVJyQXObAkEbEfGTk5sAoSsBI5sQ8cERKwDTkAsRkAERKwFTmwJxGyBw8WOTk5MDEzETQ2MzIWFRQGFRQeAhUUBiMiJic3HgEzMjY1NC4CNTQ2NTQmIyIZAYvPurTFgEu8Vsu2UbUmKzGHNWtxSr1Xi2hY2gRX0Ouzn33LRTNfkIhMn7IsHJsgLF5SNGCTilFZz1Rea/7b+6sAAAMAbf/sA+oGAAAeACIALACiALIYAAArshwAACuxJgfpshABACuxCAbpsggQCiuzQAgMCSu0AyscEA0rsQME6bAfLwGwLS+wANaxIw7psAwg1hGxCw7psCMQsSkBK7AEMrEUDumwGCDWEbEXC+mxLgErsSMMERKwHzmxKQsRErUQHCAhIiYkFzmwGBGwGjkAsSYYERKxFho5ObArEbEUADk5sQgDERKwEzmxHxARErAhOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJhMzEyMDFBYzMjY3NSMgbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNod/Cn+p0W1ecI5H+rAEsqbtVYXNkR1GXWLuk/g6VWBAgUoa1BV/+2vxsV2JaSN4AAwBt/+wD6gYAAB4AKAAsAKAAshgAACuyHAAAK7EiB+myEAEAK7EIBumyCBAKK7NACAwJK7QDJxwQDSuxAwTpsCovAbAtL7AA1rEfDumwDCDWEbELDumwHxCxJQErsAQysRQO6bAYINYRsRcL6bEuASuxJQsRErUQHCIpKiwkFzmwGBGwGjmwFBKwKzkAsSIYERKxFho5ObAnEbEUADk5sQgDERKwEzmxKhARErApOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJjcUFjMyNjc1IyAbATMBbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNuXRbV5wjkf6sucHg/vQBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtaVXYlpI3gLNASb+2gADAG3/7APqBgAAHgAnADEArQCyGAAAK7IcAAArsSsH6bIQAQArsQgG6bIIEAors0AIDAkrtAMwHBANK7EDBOmwIS8BsDIvsADWsSgO6bAMINYRsQsO6bAoELEuASuwBDKxFA7psBgg1hGxFwvpsTMBK7EoDBESsR8gOTmxLgsRErYQHCEiJScrJBc5sBgRsBo5sBQSsSMkOTkAsSsYERKxFho5ObAwEbEUADk5sQgDERKwEzmxIRARErAfOTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJhM1EzMTFSMnBwMUFjMyNjc1IyBtAQHptHRxY4a6c8V2u9QEJsIQCoGzoM2q9nD3mZaVinRbV5wjkf6sASypu1Vhc2RHUZdYu6T+DpVYECBShrUEQwwBEP7uCqqq/GJXYlpI3gAAAAADAG3/7APqBewAHgA2AEAAzgCyGAAAK7IcAAArsToH6bIQAQArsQgG6bIIEAors0AIDAkrtAM/HBANK7EDBOmwLi+xJwXpszMnLggrsSIF6QGwQS+wANaxNw7psAwg1hGxCw7psDcQsDYg1hG0HwwAEAQrsB8vtDYMABAEK7A3ELE9ASuwBDKxFA7psBgg1hGwKjOxFwvptCsMABAEK7FCASuxPTYRErYIEBwiJy46JBc5sBgRsBo5ALE6GBESsRYaOTmwPxGxFAA5ObEIAxESsBM5sS4QERKxHzY5OTAxEzQkOwE1NCYjIgYVIzQ+ATMyFhcRFBcVIyYnBiMiJhM0NjMyHgIzMjY1FxQGIyIuAiMiBhUDFBYzMjY3NSMgbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNeHldIzhgMx8rOXx7XCk8YSscKTo7dFtXnCOR/qwBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtQRDa4wUOhJELQxshhQ+DT8x/GlXYlpI3gAABABt/+wD6gXFAB4AJwAxADoA5wCyGAAAK7IcAAArsSsH6bIiAgArsDQzsSYK6bA4MrIQAQArsQgG6bIIEAors0AIDAkrtAMwHBANK7EDBOkBsDsvsADWsSgO6bAMINYRsQsO6bMfKAAIK7EkEemwKBCxLgErsAQysRQO6bAUELA3INYRsTIR6bAyL7E3EemwLhCwGCDWEbEXC+mxPAErsQsoERKxISY5ObAkEbIcIiU5OTmwMhKyCBArOTk5sC4RsTQ5OTmwGBKwGjmwNxGxNTg5OQCxKxgRErEWGjk5sDARsRQAOTmxCAMRErATObEiJhESsTI3OTkwMRM0JDsBNTQmIyIGFSM0PgEzMhYXERQXFSMmJwYjIiYTNDYyFhQGIiYTFBYzMjY3NSMgATQ2MhYUBiImbQEB6bR0cWOGunPFdrvUBCbCEAqBs6DNljdsODhsNyN0W1ecI5H+rAGLN2w4OGw3ASypu1Vhc2RHUZdYu6T+DpVYECBShrUEui09PVo8PPwYV2JaSN4DTC0+Plo8PAAEAG3/7APqBlsAHgAoADIAPQDaALIYAAArshwAACuxIgfpshABACuxCAbpsggQCiuzQAgMCSu0AyccEA0rsQME6bAxL7Q2BAAUBCuwOy+0LAQAFAQrAbA+L7AA1rEfDumwDCDWEbELDumwHxCxKgErtDMMABAEK7AzELElASuwBDKxFA7psy4UJQgrtDkMABAEK7A5L7QuDAAQBCuwJRCwGCDWEbEXC+mxPwErsTkzERK2CBwiKywQMSQXObEuJRESsBo5ALEiGBESsRYaOTmwJxGxFAA5ObEIAxESsBM5sTs2ERKyKSouOTk5MDETNCQ7ATU0JiMiBhUjND4BMzIWFxEUFxUjJicGIyImNxQWMzI2NzUjIBI0NjIWFRQGIyInFBYzMjY0JiMiBm0BAem0dHFjhrpzxXa71AQmwhAKgbOgzbl0W1ecI5H+rEh7uHt8W1wYQzEwREMxMkIBLKm7VWFzZEdRl1i7pP4OlVgQIFKGtaVXYlpI3gMorHp6Vld1zC9EQmJFRgAAAAADAE7/7AZ8BE4AKgA1AD0AtQCyKAAAK7AjM7EuBumwHTKyDwEAK7AVM7EIBumwOzK0NhooDw0rsDIzsTYF6bADMgGwPi+wANaxKw7psCsQsAsg1hGxDA7psAwvsQsO6bArELExASuwBDKxGg7psDYysBoQsTcBK7EYDumxPwErsTELERKyDyguOTk5sBoRsRIlOTmwNxKyFR0jOTk5sBgRsSAhOTkAsS4oERKwITmwGhGyACAlOTk5sQg2ERKyCwwSOTk5MDETNDY7ATU0JiMiBhUnNDYzMhYXPgEzMhIdASEeATMyPwEXBiMgJw4BIyImNxQWMzI2NzUjDgEBITU0JiMiBk7j3d9uaGmMuPK7c7AyP65p0uj9KAeulZR5L0Ce3v77iEHijae8umpjSJ4y5HWMAqECGoZ7c5UBMJ2uVWt7blETj7VTU09X/v/pc7C/TB+IebRWXq2TTV1KNu0CbgEBH4STqwACAFz+RAPsBE4AHQAsAJkAshsAACu0JQQAFAQrsgUBACuxDAbpsgwFCiuzQAwICSuwLC+0HgQAIQQrAbAtL7AA1rEQDumwEBCxIQErtCkMABsEK7ApELEWASuwCTKxFw3psAgysS4BK7EhEBESQAkMBRMbHiQlJywkFzmwKRGwJjmwFhKwCjmwFxGwBzkAsRseERKyJCcpOTk5sQwlERKyExYXOTk5MDETNTQ+ATMyFhcjLgEjIgYdARQWMzI2NzMOAiMiAAEyNjU0Jic3MwcWFRQGI1x02ZS28QivCI9pjZuaj2OUCK8FdsVu3f77AVdPV0BiIIUMmaCPAhMfnvaI2q5ph8vAI7vKeFpdqGQBJ/2cNC8sKgmGNBuSYXEAAAADAF3/7APzBgAAFQAZACEAcACyEwAAK7ENBumyBQEAK7EfBum0GgoTBQ0rsRoG6bAWLwGwIi+wANaxCg7psBoysAoQsRsBK7EIDumxIwErsQoAERKwFjmwGxG1BQ0TFxgZJBc5sAgSsRAROTkAsQoNERKxEBE5ObEWBRESsBg5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEzMTIwMhNS4BIyIGXXvdgdPq/SMEs4piiDNxiP7w3P7sod/Cn+QCHgiIdHCYAf8iof2P/ur+/U2gxVBCWNEBIQTz/tr9pg6Nm6MAAAADAF3/7APzBgAAFQAdACEAbACyEwAAK7ENBumyBQEAK7EbBum0FgoTBQ0rsRYG6bAfLwGwIi+wANaxCg7psBYysAoQsRcBK7EIDumxIwErsRcKERK1BQ0THh8hJBc5sAgRshARIDk5OQCxCg0RErEQETk5sR8FERKwHjkwMRM1ND4BMzISERUhHgEzMjY3FwYhIgATITUuASMiBhsBMwFde92B0+r9IwSzimKIM3GI/vDc/uy/Ah4IiHRwmKHB4P70Af8iof2P/ur+/U2gxVBCWNEBIQFzDo2bowHHASb+2gAAAAADAF3/7APzBgAAFQAeACYAdgCyEwAAK7ENBumyBQEAK7EkBum0HwoTBQ0rsR8G6bAYLwGwJy+wANaxCg7psB8ysAoQsSABK7EIDumxKAErsQoAERKxFhc5ObAgEbYFDRMYGRweJBc5sAgSsxARGhskFzkAsQoNERKxEBE5ObEYBRESsBY5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEzUTMxMVIycHAyE1LgEjIgZde92B0+r9IwSzimKIM3GI/vDc/uyq9nD3mZaVhAIeCIh0cJgB/yKh/Y/+6v79TaDFUEJY0QEhA9cMARD+7gqqqv2cDo2bowAAAAQAXf/sA/MFxQAVAB4AJgAvAKsAshMAACuxDQbpshkCACuwKTOxHQrpsC0ysgUBACuxJAbptB8KEwUNK7EfBukBsDAvsADWsQoO6bAfMrMWCgAIK7EbEemwChCxIAErsQgO6bMsCCAIK7EnEemwJy+xLBHpsTEBK7EbChESsRgdOTmwJxGzDRMFJCQXObAgErIiKS45OTmwLBGyECotOTk5sAgSsBE5ALEKDRESsRAROTmxGR0RErEnLDk5MDETNTQ+ATMyEhEVIR4BMzI2NxcGISIAEzQ2MhYUBiImEyE1LgEjIgYBNDYyFhQGIiZde92B0+r9IwSzimKIM3GI/vDc/uyWN2w4OGw3KQIeCIh0cJgBczdsODhsNwH/IqH9j/7q/v1NoMVQQljRASEETi09PVo8PP1SDo2bowJGLT4+Wjw8AAL/xgAAAWcF/wADAAcAMgCyBAAAK7IFAQArsAAvAbAIL7AE1rEHDumxCQErsQcEERKxAQM5OQCxAAURErACOTAxAzMTIwMRMxE638KfLboF//7a+ycEOvvGAAAAAgCWAAACNwX/AAMABwAzALIEAAArsgUBACuwAS8BsAgvsATWsAAysQcO6bEJASuxBwQRErADOQCxAQURErAAOTAxGwEzAQMRMxGWweD+9JC6BNkBJv7a+ycEOvvGAAAAAv/PAAACLAX/AAgADAA0ALIJAAArsgoBACuwAi8BsA0vsAnWsQwO6bEOASuxDAkRErIDAgc5OTkAsQIKERKwADkwMQM1EzMTFSMnBxMRMxEx9nD3mZaVM7oE4wwBEP7uCqqq+x0EOvvGAAAAA/+7AAACRAXEAAgADAAVAEwAsgkAACuyAwIAK7APM7EHCumwEzKyCgEAKwGwFi+wANaxBRHpsAUQsQkBK7EMDumwDBCxDQErsRIR6bEXASsAsQMHERKxDRI5OTAxAzQ2MhYUBiImExEzERM0NjIWFAYiJkU3bDg4bDfguhQ3bDg4bDcFWi09PVo8PPrTBDr7xgVYLT4+Wjw8AAAAAgB+/+wELQYsAB0AKwB0ALIaAAArsSEG6bApL7EEBumwDS+xDgPpAbAsL7AA1rEeDumwHhCxJAErsRYO6bEtASuxHgARErANObAkEbcEBgoOEBMaCyQXObAWErEREjk5ALEpIRESsAA5sAQRsAY5sA0StAgJEBITJBc5sA4RsBE5MDETND4BMzIXJicHJzcmJzcWFzcXBxIRFRQOASMiLgE3FBYzMjY9AScuASMiBn5wz4GjeTCN2knAhLc576+9Saj5ddiGh9x5uaeAfZkCIYtckaIB05PpgnLDjZRjg1sxnzaLgWRz/vj+Z12e/ZCB4IaMxOK4Xjg9Sb8AAgCMAAAD3wXsABEAKQCKALIAAAArsAgzsgEBACuyBQEAK7ENA+mwIS+xGgXpsyYaIQgrsRUF6QGwKi+wANaxEQ7psAIysBEQsCkg1hG0EgwAEAQrsBIvtCkMABAEK7ARELEJASuwHTKxCA7ptB4MABAEK7ErASuxCSkRErMFFQ0hJBc5ALEBDRESsAM5sSEFERKxEik5OTAxMxEzFzYzIBMRIxEuASMiBgcRAzQ2MzIeAjMyNjUXFAYjIi4CIyIGFYyvBnzIAVcDuQFpb1qIJml5XSM4YDMfKzl8e1wpPGErHCk6BDqInP59/TUCzHVwYE78/QTka4wUOhJELQxshhQ+DT8xAAAAAwBb/+wENAYAAA8AEwAfAE8Asg0AACuxFwbpsgUBACuxHQbpsBAvAbAgL7AA1rEUDumwFBCxGgErsQkO6bEhASuxFAARErAQObAaEbQFEQ0TEiQXOQCxEAURErASOTAxEzU0PgEzMgAdARQOASMiABMzEyMDFBYzMjY1NCYjIgZbfd+P3QEReeGS3P7vrd/Cn/WnjI2mqYyJqAIaDZ/+iv7O/g2e+4wBMgTi/tr9N7Ta3cey3doAAAMAW//sBDQGAAAPABsAHwBIALINAAArsRMG6bIFAQArsRkG6bAdLwGwIC+wANaxEA7psBAQsRYBK7EJDumxIQErsRYQERKzBQ0cHiQXOQCxHQURErAcOTAxEzU0PgEzMgAdARQOASMiADcUFjMyNjU0JiMiBhsBMwFbfd+P3QEReeGS3P7vuqeMjaapjImoxMHg/vQCGg2f/or+zv4NnvuMATLztNrdx7Ld2gH+ASb+2gAAAAMAW//sBDQGAAAPABgAJABRALINAAArsRwG6bIFAQArsSIG6bASLwGwJS+wANaxGQ7psBkQsR8BK7EJDumxJgErsRkAERKxEBE5ObAfEbQFEg0YFCQXOQCxEgURErAQOTAxEzU0PgEzMgAdARQOASMiABM1EzMTFSMnBwMUFjMyNjU0JiMiBlt934/dARF54ZLc/u+29nD3mZaVlaeMjaapjImoAhoNn/6K/s7+DZ77jAEyA8YMARD+7gqqqv0ttNrdx7Ld2gAAAwBb/+wENAXsAA8AJwAzAH4Asg0AACuxKwbpsgUBACuxMQbpsB8vsRgF6bMkGB8IK7ETBekBsDQvsADWsSgO6bMQKAAIK7QnDAAQBCuwKBCxLgErsQkO6bMcCS4IK7QbDAAQBCuwGy+0HAwAEAQrsTUBK7EbJxEStQ0TBR8rMSQXOQCxHwURErEQJzk5MDETNTQ+ATMyAB0BFA4BIyIAEzQ2MzIeAjMyNjUXFAYjIi4CIyIGFQMUFjMyNjU0JiMiBlt934/dARF54ZLc/u+EeV0jOGAzHys5fHtcKTxhKxwpOkanjI2mqYyJqAIaDZ/+iv7O/g2e+4wBMgPGa4wUOhJELQxshhQ+DT8x/TS02t3Hst3aAAAAAAQAW//sBDQFxQAPABgAJAAtAIEAsg0AACuxHAbpshMCACuwJzOxFwrpsCsysgUBACuxIgbpAbAuL7AA1rEZDumzEBkACCuxFRHpsBkQsR8BK7EJDumzKgkfCCuxJRHpsCUvsSoR6bEvASuxFRkRErESFzk5sCURsw0FHCIkFzmwHxKxKCs5OQCxExcRErElKjk5MDETNTQ+ATMyAB0BFA4BIyIAEzQ2MhYUBiImExQWMzI2NTQmIyIGATQ2MhYUBiImW33fj90BEXnhktz+76I3bDg4bDcYp4yNpqmMiagBljdsODhsNwIaDZ/+iv7O/g2e+4wBMgQ9LT09Wjw8/OO02t3Hst3aAn0tPj5aPDwAAwBHAKwELQS6AAMADQAXAC4AsAwvsQcK6bAAL7EBCemwFi+xEQrpAbAYL7AE1rAOMrEJEemwEzKxGQErADAxEzUhFQE0NjIWFRQGIiYRNDYyFhUUBiImRwPm/aA5cjs7cjk5cjs7cjkCWLi4/sEwQEAwLj8/A18wQEAwLz4+AAADAFv/egQ0BLgAFQAdACYAagCyDwAAK7EgBumyBAEAK7EbBukBsCcvsADWsRYO6bAWELEjASuxCw7psSgBK7EWABESsBM5sCMRtwcEDxIJFBkeJBc5sAsSsAg5ALEgDxESsREUOTmwGxGzCwAYJiQXObAEErEGCTk5MDETND4BMzIXNzMHFhEUDgEjIicHIzcmExQXASYjIgYTFjMyNj0BNCdbe+GPbl5JfGbDfOCQaFZKfGTNuWEBVz5Iiqi7N0KLp1cCJ5/9iyqUzZr+wJ7+iSOVy5UBN8JvArYg2v3AGdu5ELZvAAAAAgCI/+wD3AYAABAAFABdALILAAArsg4AACuxBQPpsgEBACuwCDOwES8BsBUvsADWsQMO6bADELEHASuwCzKxCg7psRYBK7EDABESsBE5sAcRsw4SExQkFzkAsQULERKwDDmxEQERErATOTAxExEzERQzMjcRMxEjJwYjIiYTMxMjiLnI1Ea5sARs0a21d9/CnwF6AsD9RfaeAxP7xmt/yQVL/toAAAAAAgCI/+wD3AYAABAAFABdALILAAArsg4AACuxBQPpsgEBACuwCDOwEi8BsBUvsADWsQMO6bADELEHASuwCzKxCg7psRYBK7EHAxESsw4REhQkFzmwChGwEzkAsQULERKwDDmxEgERErAROTAxExEzERQzMjcRMxEjJwYjIiYBEzMBiLnI1Ea5sARs0a21AUjB4P70AXoCwP1F9p4DE/vGa3/JBCUBJv7aAAAAAAIAiP/sA9wGAAAQABkAaACyCwAAK7IOAAArsQUD6bIBAQArsAgzsBMvAbAaL7AA1rEDDumwAxCxBwErsAsysQoO6bEbASuxAwARErEREjk5sAcRtA4TFBcZJBc5sAoSsRUWOTkAsQULERKwDDmxEwERErAROTAxExEzERQzMjcRMxEjJwYjIiYTNRMzExUjJweIucjURrmwBGzRrbWA9nD3mZaVAXoCwP1F9p4DE/vGa3/JBC8MARD+7gqqqgAAAAMAiP/sA9wFxQAQABkAIgCdALILAAArsg4AACuxBQPpshQCACuwHDOxGArpsCAysgEBACuwCDMBsCMvsADWsQMO6bMRAwAIK7EWEemwAxCxBwErsAsysQoO6bMfCgcIK7EaEemwGi+xHxHpsSQBK7EDERESsRMYOTmwFhGxFBc5ObAaErEOBTk5sAcRsRwhOTmwHxKxHSA5OQCxBQsRErAMObEUGBESsRofOTkwMRMRMxEUMzI3ETMRIycGIyImEzQ2MhYUBiImJTQ2MhYUBiImiLnI1Ea5sARs0a21bDdsODhsNwGuN2w4OGw3AXoCwP1F9p4DE/vGa3/JBKYtPT1aPDwrLT4+Wjw8AAACABb+SwOwBgAADwATAHcAsgABACuwAzOwES8BsBQvsAPWsQQQ6bEVASuwNhq6+uXANAAVKwoOsAkQsAbAsQoW+bALwLAJELMHCQYTK7IHCQYgiiCKIwYOERI5ALMHCQoLLi4uLgGzBwkKCy4uLi6wQBoBsQQDERKwEjkAsREAERKwEDkwMRMzARMzAQIjLwE1FzI2PwEDEzMBFsoBDvzG/k1l3CNFMl5pIikCweD+9AQ6/NUDK/sf/vIDDZYETGVuBM4BJv7aAAIAlf5gBCcGAAAPABoAVQCyDAAAK7ESBumyBQEAK7EYA+mwAC+wAS8BsBsvsADWsQ8O6bECEDIysA8QsRUBK7EJDumxHAErsRUPERKxBQw5OQCxEgwRErAOObEFGBESsAM5MDETETMRNjMyEhEVFAIjIicZARYzMjY1NCYjIgeVuXHCw+PiwcVxU6uFnZyIqFT+YAeg/cqE/tr++hH3/tJ9/fcCt5TT0LfUlQADABb+SwOwBcUADwAYACEAuQCyEwIAK7AbM7EXCumwHzKyAAEAK7ADMwGwIi+wENaxFRHpsBUQsQMBK7EEEOmzHgQDCCuxGRHpsBkvsR4R6bEjASuwNhq6+uXANAAVKwoOsAkQsAbAsQoW+bALwLAJELMHCQYTK7IHCQYgiiCKIwYOERI5ALMHCQoLLi4uLgGzBwkKCy4uLi6wQBoBsRUQERKwATmwGRGxAg85ObADErEbIDk5sB4RsRwfOTkAsRMXERKxGR45OTAxEzMBEzMBAiMvATUXMjY/AQM0NjIWFAYiJiU0NjIWFAYiJhbKAQ78xv5NZdwjRTJeaSIp3jdsODhsNwGuN2w4OGw3BDr81QMr+x/+8gMNlgRMZW4FTy09PVo8PCstPj5aPDwAAAAAAgBo/+sHCQXEABcAIwCEALISAAArsQ8D6bIUAAArsRsG6bIHAgArsQoD6bIFAgArsSAG6bQLDhQFDSuxCwPpAbAkL7AA1rEYDumwGBCxHQErsQ8L6bAKMrIPHQors0APCQkrsBAys0APDQkrsSUBK7EdGBESsRQFOTmwDxGwEjkAsQ8bERKwHTmxIAoRErAeOTAxExE0EjYzMhchFSERIRUhESEVIQYjIiYCNxQWMzI3ESYjIgYHaIv+onyqA0b9LQJ3/YkC3fywsnKi/oy5w7BxZm1srcICAjsBNawBEZcUnv4snf38nRWWAQ+w0+sOBI4P5c8AAAADAGH/7AcABE4AIAAsADQAlwCyHgAAK7AYM7EkBumwEzKyBQEAK7ALM7EqBumwMjK0LRAeBQ0rsS0G6QGwNS+wANaxIQ7psCEQsScBK7EQEOmwLTKwEBCxLgErsQ4O6bE2ASuxJyERErEeBTk5sBARsQgbOTmwLhKyCxMYOTk5sA4RsRUWOTkAsSQeERKwFjmwEBGxFRs5ObAtErEhJzk5sCoRsAg5MDETNTQ+ATMyFhc+ATMyFh0BIR4BMzI3FwYjIiYnDgEjIgA3FBYzMjY1NCYjIgYFITU0JiMiBmF5246JyT1BxHDP6v0yB6SGvHhKifWHzT8+x4bc/vi5oIuJoKGKh6IDHgIOiXZjlgIaDaD+iXVkZnP+63SqxWx+hHBkY3EBMPW32NfOttnWVxp9lqMAAAMADwAABLsG+wAIABEAGgBdALIHAAArsgACACuwAzOwEC+wGDOxDArpsBQyAbAbL7AJ1rEOEemwDhCxBwsrsQYL6bAGELESASuxFxHpsRwBK7EGDhESsAI5ALEABxESsAI5sQwQERKxEhc5OTAxEzMJATMBESMRAzQ2MhYUBiImJTQ2MhYUBiImD9wBegF82v4KwN43bDg4bDcBrjdsODhsNwWw/SUC2/xv/eECHwRyLT09Wjw8Ky0+Plo8PAAAAAEAqQTkAwYGAAAIACsAsAAvsAUztAIKAA8EKwGwCS+wANa0BREABwQrsQoBKwCxAgARErAHOTAxEzUTMxMVIycHqfZw95mWlQTkDAEQ/u4KqqoAAAEAewTZAz4F6AAXAD8AsA8vsQgF6bMUCA8IK7EDBekBsBgvsADWtBcMABAEK7AXELELASu0DAwAEAQrsRkBK7ELFxESsQMPOTkAMDETNDYzMh4CMzI2NRcUBiMiLgIjIgYVe3ldIzhgMx8rOXx7XCk8YSscKToE4GuMFDoSRC0MbIYUPg0/MQABACUCHwINArYAAwAAEzUhFSUB6AIfl5cAAAAAAQAlAh8CDQK2AAMAABM1IRUlAegCH5eXAAAAAAEAJQIfAg0CtgADAAATNSEVJQHoAh+XlwAAAAABAKMCiwSNAyIAAwAXALAAL7EBBumxAQbpAbAEL7EFASsAMDETNSEVowPqAouXlwABAJECiwXJAyIAAwAXALAAL7EBBumxAQbpAbAEL7EFASsAMDETNSEVkQU4AouXlwABAGAEMQF4BhMACAAlALAAL7QECgAJBCsBsAkvsADWsQgO6bEKASuxCAARErAEOQAwMRM1NDY3FwYHFWBhTWpdAwQxdGbIQEh/k4gAAQAwBBYBRwYAAAgAJQCwCC+0AwoACQQrAbAJL7AC1rEFDumxCgErsQUCERKwCDkAMDETNjc1MxUOAQcwXQO3AWFMBF6CkJCCZMc9AAEAJP7lATsAtQAIACUAsAgvtAMKAAkEKwGwCS+wAtaxBQ7psQoBK7EFAhESsAg5ADAxFzY3NTMVFAYHJFsDuWNL0n+SdmRlyj0AAAACAGgEMQK7BhMACAARAEIAsAAvsAkztAQKAAkEK7ANMgGwEi+wANaxCA7psAgQsQkBK7ERDumxEwErsQgAERKwBDmwCRGwBTmwERKwDTkAMDETNTQ2NxcGBxUzNTQ2NxcGBxVoYU1qXQODYU1qXQMEMXRmyEBIf5OIdGbIQEh/k4gAAAACADwEFgKGBgAACAARAEIAsAgvsBEztAMKAAkEK7AMMgGwEi+wAtaxBQ7psAUQsQsBK7EODumxEwErsQUCERKwCDmwCxGwCTmwDhKwETkAMDETNjc1MxUOAQc3Njc1MxUOAQc8XQO3AWFMyl0DtwFhTARegpCQgmTHPUiCkJCCZMc9AAACACT+0wJkAPYACAARAEIAsAgvsBEztAMKAAgEK7AMMgGwEi+wAtaxBQ7psAUQsQsBK7EODumxEwErsQUCERKwCDmwCxGwCTmwDhKwETkAMDEXNjc1MxUUBgc3Njc1MxUUBgckWwO5Y0u/WwO6YU7liZm5pGzTQEiJmbmka9FDAAEAigIXAiIDywANAC4AsAsvtAQKAAoEK7QECgAKBCsBsA4vsADWtAgRAAoEK7QIEQAKBCuxDwErADAxEzU0NjMyFh0BFAYjIiaKb1xbcm5eXW8C3iZXcG1dJVdubwAAAAMAlP/1BM4A0QAJABMAHQBFALIIAAArsREbMzOxAwrpsQwWMjKyCAAAK7EDCukBsB4vsADWsQUR6bAFELEKASuxDxHpsA8QsRQBK7EZEemxHwErADAxNzQ2MhYVFAYiJiU0NjIWFRQGIiYlNDYyFhUUBiImlDlyOztyOQG1OXI7O3I5AZ85cjs7cjlhMEBAMC4+Pi4wQEAwLj4+LjBAQDAuPj4AAQBsAJkCIAO1AAYAIQABsAcvsADWtAURAAoEK7ADMrEIASuxBQARErAEOQAwMRM1ATMJASNsASeN/v4BAo0CHRMBhf5x/nMAAQBZAJgCDgO1AAYAIQABsAcvsADWsAIytAURAAoEK7EIASuxBQARErABOQAwMTcJATMBFQFZAQL+/o4BJ/7ZmAGOAY/+exP+ewAAAAEAX//sBBwFxAAjAJEAsiAAACuxGwPpsgkCACuxDgPptAABIAkNK7AVM7EABOmwFzK0BQQgCQ0rsBMzsQUE6bARMgGwJC+wI9axAgYyMrEYC+mxERQyMrIYIwors0AYEwkrsBYysiMYCiuzQCMECSuwADKxJQErsRgjERKwBzkAsRsgERKwHjmwABGwHTmxDgURErAMObAJEbALOTAxEzUzNSM1MxIAMzIXByYjIgYHIRUhFSEVIR4BMzI3FwYjIgADX7KysgoBHfNqhxRtbqSxBgF//oABgP6ABLSldGYUeHj4/uMGAh18iX0BBgEfH6Ijy7x9iXzD0iKgHgElAQwAAAAAAgBnA5cEOAWwAAcAFAB4ALIBAgArsQkMMzO0AAQAFAQrsAMysgABCiuzQAAGCSuyCA4RMjIyAbAVL7AG1rQFDAAQBCuyBQYKK7NABQMJK7IGBQors0AGAAkrsAUQsQgBK7QUDAAQBCuwFBCxDwErtA4MABAEK7EWASuxDxQRErEKDDk5ADAxEzUhFSMRIxEBETMbATMRIxEDIwMRZwGCk1sBPXCQkHBajDSMBV9RUf44Acj+OAIZ/nEBj/3nAYr+dgGJ/ncAAAABAAAAAAQ4BDgAAwA1ALIAAAArtAEKAAcEK7IAAAArtAEKAAcEKwGwBC+wANa0AxEABwQrtAMRAAcEK7EFASsAMDExESERBDgEOPvIAAAAAAIAHwAAA80GFQAVABkAegCyFAAAK7AWM7IBAQArsQ8XMzOxAAXpsBEysAsvsQYI6QGwGi+wFNawAjKxEw7psA4yshMUCiuzQBMRCSuyFBMKK7NAFAAJK7ATELEWASuxGQ7psRsBK7EWExESsQsGOTmwGRGxCQg5OQCxCwERErAJObAGEbAIOTAxEzUzNTQ2MzIXByYjIgYdATMVIxEjEQERMxEfq8+9cKsffXF3ad3dugJJugOrj1y1yj2cMmtrXo/8VQOr/FUEOvvGAAEAPAAAA+kGFQAWAG4AshUAACuwCTOyAQEAK7AQM7EABemwEjKwDS+xBgPpAbAXL7AV1rACMrEUDumwDzKyFBUKK7NAFBIJK7IVFAors0AVAAkrsBQQsQoBK7EJDumxGAErsQoUERKwBjkAsQ0BERKwCzmwBhGwCDkwMRM1MzU+ATMyBREjESYjIh0BMxUjESMRPKsBwLFlASu5fEzI5+e5A6uPdq24PfooBWMU0muP/FUDqwAAAAACADwAAAYyBhUAJwArAKUAsiYAACuxISgzM7IBAQArsg8dKTMzM7EABemxHyMyMrALL7AZM7EGA+mwFDIBsCwvsCbWsAIysSUO6bAOMrImJQors0AmAAkrsCUQsSIBK7AQMrEhDumwHDKyISIKK7NAIR8JK7AhELEoASuxKw7psS0BK7EiJRESsQYIOTmxKCERErEZFDk5sCsRsRcWOTkAsQsBERKxCRc5ObAGEbEIFjk5MDETNTM1NDYzMhcHJiMiBh0BITU0NjMyFwcmIyIGHQEzFSMRIxEhESMRAREzETyruqpAPwovNVpiAZDPvXCrH31yd2ne3rn+cLkEkrkDq49vrr4RlglpYnJctco9nDJqbF6P/FUDq/xVA6v8VQQ6+8YAAQA8AAAGMgYVACgAmQCyJwAAK7EXIjMzsgEBACuxDx4zM7EABemxICQyMrALL7AbM7EGA+mwFDIBsCkvsCfWsAIysSYO6bAOMrInJgors0AnAAkrsCYQsSMBK7AQMrEiDumwHTKyIiMKK7NAIiAJK7AiELEYASuxFw7psSoBK7EjJhESsQYIOTmxGCIRErAUOQCxCwERErEJGTk5sAYRsQgWOTkwMRM1MzU0NjMyFwcmIyIGHQEhNT4BMzIFESMRJiMiHQEzFSMRIxEhESMRPKu6qkA/Ci81WmIBkAHAsWUBK7l8TMjn57n+cLkDq49vrr4RlglpYnJ2rbg9+igFYxTSa4/8VQOr/FUDqwAAAAABAAAAAiMSKuo7kV8PPPUAHwgAAAAAAMTwES4AAAAA2quuiP+7/hEHVweRAAAACAACAAAAAAAAAAEAAAhz/a0AAAeh/7v/tgdXAAEAAAAAAAAAAAAAAAAAAADqAuwARAAAAAAB+wAAAAAAAAH7AAACDwCgAo8AiATtAHcEfgBuBdwAaQT5AGUBZQBnArwAhQLIACYDcgAcBIkATgGSAB0CNQAlAhsAkANMABIEfgBzBH4AqgR+AF0EfgBeBH4ANQR+AJoEfgCEBH4ATQR+AHAEfgBkAfAAhgGxACkEEQBIBGQAmAQuAIYDxwBLBy8AagU4ABwE+wCpBTUAdwU/AKkEjACpBGwAqQVzAHoFtACpAi0AtwRqADUFBACpBE4AqQb8AKkFtACpBYAAdgUMAKkFgABtBO0AqAS/AFAExgAxBTAAjAUXABwHGQA9BQQAOQTOAA8EygBWAh8AkgNIACgCHwAJA1gAQAOcAAQCeQA5BFoAbQR9AIwEMABcBIMAXwQ9AF0CxwA8BH0AYARoAIwB8QCNAen/vwQOAI0B8QCcBwMAiwRqAIwEkABbBH0AjASMAF8CtQCMBCAAXwKdAAkEaQCIA+AAIQYDACsD9wApA8kAFgP3AFgCtQBAAfMArwK1ABMFcQCDAfsAAAHzAIsEYABpBKYAWwW0AGkEMwAPAesAkwToAFoDWABlBkkAWwOTAJMDwQBmBG4AfwI1ACUGSgBaA6oAjgL9AIIERgBhAu8AQgLvAD4CggB7BIgAmgPpAEMCFgCTAfsAdALvAHoDowB6A8AAZgXcAFUGNQBQBjkAbwPJAEQFOAAcBTgAHAU4ABwFOAAcBTgAHAU4ABwHev/yBTUAdwSMAKkEjACpBIwAqQSMAKkCLf/gAi0AsAIt/+kCLf/VBV0ABwW0AKkFgAB2BYAAdgWAAHYFgAB2BYAAdgREAFkFgAB2BTAAjAUwAIwFMACMBTAAjATOAA8EugCmBMIAiwRaAG0EWgBtBFoAbQRaAG0EWgBtBFoAbQbBAE4EMABcBD0AXQQ9AF0EPQBdBD0AXQH6/8YB+gCWAfr/zwH6/7sEsAB+BGoAjASQAFsEkABbBJAAWwSQAFsEkABbBJEARwSIAFsEaQCIBGkAiARpAIgEaQCIA8kAFgScAJUDyQAWB6EAaAdEAGEEzgAPA8QAqQPGAHsDyAAAB5EAAAPIAAAHkQAAAoUAAAHkAAABQgAAAUIAAADyAAABgwAAAGsAAAI1ACUCNQAlAjUAJQVAAKMGPwCRAZkAYAGZADABlwAkAtQAaALbADwCwQAkArIAigVaAJQBgwAAAmYAbAJmAFkB5AAABH4AXwUBAGcEOAAABG4AHwSLADwG1AA8ADwAAAAAACwALAAsACwALABqAKIBjgIcAr4DVAN6A6oD2AQMBE4EdASSBLoE0gUgBVAFsAYqBnQG7gdSB3YH9AhcCJoI2gj2CRgJNAmkCnwKrgsSC24LrgvqDCAMjAzEDOINHg1SDXgNxA3+DlIOlg76D1YPyA/4EDYQWhEGETgRaBGWEcIR2BIKEigSQhJkEuYTQBOcE/oUWhSoFSAVYhWeFewWIhY+FqIW5hcwF4wX7BggGJAY4hkkGUwZtBnkGjYaZBq2GtQbJht4G3gbuBwmHJwdHB2AHaYeUh6SH0AfsB/SH/ogGCDaIPghQiGOIewiZiKGItYjCiMwI2ojkiPaI/4kbiUAJdAmQiZ6JrQm9CdsJ9ooTCiyKT4phCnIKhYqiiqyKt4rDitaK7wsNCySLPItVi3oLm4ukC8KL1IvnC/qMFowljDiMWAx9DKIMyoz7DS2NXw2MDbANzI3pDggOMI48DkgOVY5pDoiOqY7AjtcO8A8TDzUPRQ9iD3cPjI+kj8YP3w/0kBqQOZBgEHgQgpCTkJOQk5CTkJOQk5CTkJOQk5CTkJOQk5CXEJqQnhCkEKoQs5C9EMaQ1xDnkPeRA5EYERgRIREqkSqRSxFkEW4Rh5GekcMR5QAAQAAAOsARQAFAAAAAAACAAEAAgAWAAABAAFmAAAAAAAAABIA3gADAAEECQAAAF4AAAADAAEECQABAAwAXgADAAEECQACAA4AagADAAEECQADAAwAeAADAAEECQAEABwAhAADAAEECQAFACYAoAADAAEECQAGABwAxgADAAEECQAHAEAA4gADAAEECQAJAAwBIgADAAEECQALABQBLgADAAEECQAMACYBQgADAAEECQANAFwBaAADAAEECQAOAFQBxAADAAEECQDIABYCGAADAAEECQDJADACLgADAAEECQDKAA4CXgADAAEECQDLAAYCbAADAAEECdkDABoCcgBDAG8AcAB5AHIAaQBnAGgAdAAgADIAMAAxADEAIABHAG8AbwBnAGwAZQAgAEkAbgBjAC4AIABBAGwAbAAgAFIAaQBnAGgAdABzACAAUgBlAHMAZQByAHYAZQBkAC4AUgBvAGIAbwB0AG8AUgBlAGcAdQBsAGEAcgBSAG8AYgBvAHQAbwBSAG8AYgBvAHQAbwAgAFIAZQBnAHUAbABhAHIAVgBlAHIAcwBpAG8AbgAgADIALgAxADMANwA7ACAAMgAwADEANwBSAG8AYgBvAHQAbwAtAFIAZQBnAHUAbABhAHIAUgBvAGIAbwB0AG8AIABpAHMAIABhACAAdAByAGEAZABlAG0AYQByAGsAIABvAGYAIABHAG8AbwBnAGwAZQAuAEcAbwBvAGcAbABlAEcAbwBvAGcAbABlAC4AYwBvAG0AQwBoAHIAaQBzAHQAaQBhAG4AIABSAG8AYgBlAHIAdABzAG8AbgBMAGkAYwBlAG4AcwBlAGQAIAB1AG4AZABlAHIAIAB0AGgAZQAgAEEAcABhAGMAaABlACAATABpAGMAZQBuAHMAZQAsACAAVgBlAHIAcwBpAG8AbgAgADIALgAwAGgAdAB0AHAAOgAvAC8AdwB3AHcALgBhAHAAYQBjAGgAZQAuAG8AcgBnAC8AbABpAGMAZQBuAHMAZQBzAC8ATABJAEMARQBOAFMARQAtADIALgAwAFcAZQBiAGYAbwBuAHQAIAAxAC4AMABUAGgAdQAgAEEAcAByACAAIAAyACAAMQA1ADoAMAAwADoAMgA0ACAAMgAwADIAMABkAGUAZgBhAHUAbAB0AGwAZQBvAEYAbwBuAHQAIABTAHEAdQBpAHIAcgBlAGwAAAACAAAAAAAA/XYAZAAAAAAAAAAAAAAAAAAAAAAAAAAAAOsAAAECAQMBBAADAAQABQAGAAcACAAJAAoACwAMAA0ADgAPABAAEQASABMAFAAVABYAFwAYABkAGgAbABwAHQAeAB8AIAAhACIAIwAkACUAJgAnACgAKQAqACsALAAtAC4ALwAwADEAMgAzADQANQA2ADcAOAA5ADoAOwA8AD0APgA/AEAAQQBCAEMARABFAEYARwBIAEkASgBLAEwATQBOAE8AUABRAFIAUwBUAFUAVgBXAFgAWQBaAFsAXABdAF4AXwBgAGEBBQCjAIQAhQC9AJYA6ACGAI4AiwCdAKkApAEGAIoA2gCDAJMBBwEIAI0AlwCIAMMA3gEJAJ4AqgD1APQA9gCiAK0AyQDHAK4AYgBjAJAAZADLAGUAyADKAM8AzADNAM4A6QBmANMA0ADRAK8AZwDwAJEA1gDUANUAaADrAO0AiQBqAGkAawBtAGwAbgCgAG8AcQBwAHIAcwB1AHQAdgB3AOoAeAB6AHkAewB9AHwAuAChAH8AfgCAAIEA7ADuALoAsACxALsA2ADZAQoBCwEMAQ0BDgEPARABEQESARMBFAEVARYBFwCyALMAtgC3AMQAtAC1AMUAhwCrARgAvgC/ARkBGgCMARsBHAEdAR4BHwZnbHlwaDEHdW5pMDAwRAd1bmkwMDAyB3VuaTAwQTAHdW5pMDBBRAd1bmkwMEIyB3VuaTAwQjMHdW5pMDBCOQd1bmkyMDAwB3VuaTIwMDEHdW5pMjAwMgd1bmkyMDAzB3VuaTIwMDQHdW5pMjAwNQd1bmkyMDA2B3VuaTIwMDcHdW5pMjAwOAd1bmkyMDA5B3VuaTIwMEEHdW5pMjAxMAd1bmkyMDExCmZpZ3VyZWRhc2gHdW5pMjAyRgd1bmkyMDVGBEV1cm8HdW5pMjVGQwd1bmlGQjAxB3VuaUZCMDIHdW5pRkIwMwd1bmlGQjA0ALgB/4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWACwAyBFsAMrRLAGIEWyA7ACK7ADK0SwBSBFsgZVAiuwAytEsAQgRbIFLgIrsAMrRLAHIEW6AAMBGAACK7ADK0SwCCBFsgeVAiuwAytEsAkgRbIIOgIrsAMrRLAKIEWyCR0CK7ADK0QBsAsgRbADK0SwDiBFsguQAiuxA0Z2K0SwDSBFsg5GAiuxA0Z2K0SwDCBFsg0wAiuxA0Z2K0SwDyBFugALf/8AAiuxA0Z2K0SwECBFsg/FAiuxA0Z2K0SwESBFshAvAiuxA0Z2K0RZsBQrAA==) format('truetype');
}
body
{
overflow-x: hidden;
background-color: #f7f7f7;
color: #58544f;
margin-top: 0px;
}
.isHidden { display: none; }
.page-root
{
width: 1880px;
overflow: visible;
margin: 0 auto;
position: relative;
}
.page-column-main { width: 930px; position: absolute;}
.page-column-detail { position: absolute; left: 1005px; }
.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;
}
.container-feature-detail-vertical
{
width: 900px;height:900px;position:absolute; top: 151px; left:63px
}
.container-feature-detail__offset
{
height:900px;position:absolute;top:0px;left:-17px
}
.color-source { color: #0088ed; }
.color-source-target { color: #004bd1; }
.color-compare { color: #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-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; }
.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; }
.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: 120px; height: 28px; }
.pos-df-summary-button-assoc-source { position: absolute; top: 63px; left: 10px; }
.pos-df-summary-button-assoc-compare { position: absolute; top: 63px; left: 433px; }
/*
FEATURE SUMMARY
------------------------------------*/
.summary-number
{
position: absolute; top: 17px; left: 0px; width: 34px;
font-family: RobotoBoldCond; font-size: 26px;
color: #d9d9d9; text-align: right;
}
/* 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-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: 104px; }
.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;}
.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; }
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:hover {
background:linear-gradient(to bottom, #e9e9e9 5%, #f9f9f9 100%);
background-color: #feff34;
}
.button:active {
background-color:#ffffff;
}
</style>
<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: 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);}
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);}
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);}
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);}
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);}
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);}
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);}
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);}
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span.association-graph-source::before { content: 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<script>
g_height = 1865;
</script>
</head>
<body>
<div class="page-root">
<!-- TOP HEADER -->
<!-- ALL SUMMARY TABS -->
<div class="page-column-main" id="col1">
<!-- DF Summary -->
<div class="container-feature-summary" id="summary-df" data-detail-div="detail-df">
<div class="pos-logo-group">
<div class="pos-logo im-logo"></div>
<div class="pos-credits text-credits">
v1.0.alpha7<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="pos-dataframe-summary text-label">
<span class="top-header"></span>
<div class="pos-dataframe-summary-title-source text-dataframe-title color-source">iris</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">150</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">1</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">3.1 kb</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">
5
</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">1</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">4</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">0</div>
<div class="pos-df-summary-center">TEXT</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<button class="button-bins 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="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: -1000"></span>
<span class="bg-tab-summary-rollover" id="rollover-f0" style="z-index: -999"></span>
<div class="summary-number">1</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">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">
150
</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">
35
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(23%)
</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">7.90</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">7.26</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">6.40</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">5.84</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">5.80</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">5.10</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">4.60</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">4.30</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">3.60</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">1.30</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">0.828</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">0.685</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">-0.552</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">0.314</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">876</div>
</div>
</div>
<span class="minigraph-f0 pos-minigraph-numeric"></span>
</div>
</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: -998"></span>
<span class="bg-tab-summary-rollover" id="rollover-f1" style="z-index: -997"></span>
<div class="summary-number">2</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">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">
150
</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">
(15%)
</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">4.40</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">3.80</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">3.30</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">3.06</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">3.00</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">2.80</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">2.35</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">2.00</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">2.40</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">0.500</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">0.436</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">0.190</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">0.227</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">0.319</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">459</div>
</div>
</div>
<span class="minigraph-f1 pos-minigraph-numeric"></span>
</div>
</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: -996"></span>
<span class="bg-tab-summary-rollover" id="rollover-f2" style="z-index: -995"></span>
<div class="summary-number">3</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">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">
150
</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">
43
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(29%)
</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">6.90</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">6.10</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">5.10</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">4.35</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">3.76</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">1.60</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">1.30</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">1.00</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">5.90</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">3.50</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">1.77</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">3.12</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">-1.40</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">-0.275</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">564</div>
</div>
</div>
<span class="minigraph-f2 pos-minigraph-numeric"></span>
</div>
</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: -994"></span>
<span class="bg-tab-summary-rollover" id="rollover-f3" style="z-index: -993"></span>
<div class="summary-number">4</div>
<div class="pos-tab-image ic-numeric"></div>
<span class="text-title-tab color-normal">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">
150
</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">
22
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(15%)
</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">2.50</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">2.30</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">1.80</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">1.30</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">1.20</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">0.30</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">0.20</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">0.10</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">2.40</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">1.50</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">0.762</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">0.581</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">-1.34</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">-0.103</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">180</div>
</div>
</div>
<span class="minigraph-f3 pos-minigraph-numeric"></span>
</div>
</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: -992"></span>
<span class="bg-tab-summary-rollover" id="rollover-f4" style="z-index: -991"></span>
<div class="summary-number">5</div>
<div class="pos-tab-image ic-cat"></div>
<span class="text-title-tab color-normal ">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">
150
</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">
(2%)
</div>
</div>
</div>
<span class="minigraph-f4 pos-minigraph-cat"></span>
</div>
</div>
</div>
</div>
<!-- ALL DETAIL WINDOWS -->
<div class="page-column-detail" id="col2">
<div class="isHidden container-feature-detail" id="df-assoc-source">
<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">Showing ONLY dataset "iris"</span>
<br>&bull; SQUARES are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
(approximating how much the elements on the left PROVIDE INFORMATION on elements in the row).
<br>&bull; CIRCLES are numerical correlations (Pearson's) from -1 to 1.
<br>&bull; The trivial DIAGONAL 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">
<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">Showing ONLY dataset "None"</span>
<br>&bull; SQUARES are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
(approximating how much the elements on the left PROVIDE INFORMATION on elements in the row).
<br>&bull; CIRCLES are numerical correlations (Pearson's) from -1 to 1.
<br>&bull; The trivial DIAGONAL 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">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"></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">0</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">2</div>
<div class="pos-assoc-row__source text-label
color-source">0.87</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">3</div>
<div class="pos-assoc-row__source text-label
color-source">0.82</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">1</div>
<div class="pos-assoc-row__source text-label
color-red">-0.12</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">0</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">4</div>
<div class="pos-assoc-row__source text-label color-source">0.79</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-assoc-row__label text-label pos-detail-num-label">5.0</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">6.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.1015625</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">6.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.30078125</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">6.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.69921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.69921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.80078125</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.5</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">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.3984375</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.6015625</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">6</div>
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.1015625</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.3984375</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">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.8984375</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.5</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.80078125</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">3.3%</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-assoc-row__label text-label pos-detail-num-label">4.30078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.3984375</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.5</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">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.6015625</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.69921875</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.80078125</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.8984375</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.0</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">6.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.1015625</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">6.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.19921875</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.30078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.3984375</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">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.5</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">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.6015625</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">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.69921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</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-assoc-row__label text-label pos-detail-num-label">7.8984375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.69921875</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.6015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.3984375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.30078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.19921875</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.1015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">7.0</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">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.8984375</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">2.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.80078125</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.69921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.6015625</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">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.5</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">3.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.3984375</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.30078125</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">6.0%</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">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"></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">1</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">2</div>
<div class="pos-assoc-row__source text-label
color-red">-0.43</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">3</div>
<div class="pos-assoc-row__source text-label
color-red">-0.37</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">0</div>
<div class="pos-assoc-row__source text-label
color-red">-0.12</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">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">4</div>
<div class="pos-assoc-row__source text-label color-source">0.63</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-assoc-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">26</div>
<div class="pos-detail-num-pair-pos__perc">17.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.80078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">14</div>
<div class="pos-detail-num-pair-pos__perc">9.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.19921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.400390625</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">8.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.099609375</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">7.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.900390625</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">6.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.69921875</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">6.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.5</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.80078125</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">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.30078125</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.599609375</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.30078125</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">2.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.599609375</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.400390625</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">2.0%</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-assoc-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">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.19921875</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.30078125</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">2.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.400390625</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.599609375</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.69921875</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">6.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.80078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">14</div>
<div class="pos-detail-num-pair-pos__perc">9.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.900390625</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">6.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">26</div>
<div class="pos-detail-num-pair-pos__perc">17.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.099609375</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">7.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.19921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.30078125</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.400390625</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">8.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.5</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">4.0%</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-assoc-row__label text-label pos-detail-num-label">4.3984375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.19921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.1015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.900390625</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.80078125</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">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.69921875</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">2.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.599609375</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.5</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.400390625</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">8.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.30078125</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.19921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.099609375</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">7.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">26</div>
<div class="pos-detail-num-pair-pos__perc">17.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.900390625</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">6.7%</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">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"></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">2</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">3</div>
<div class="pos-assoc-row__source text-label
color-source">0.96</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">0</div>
<div class="pos-assoc-row__source text-label
color-source">0.87</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">1</div>
<div class="pos-assoc-row__source text-label
color-red">-0.43</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">2</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">4</div>
<div class="pos-assoc-row__source text-label color-source">0.97</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-assoc-row__label text-label pos-detail-num-label">1.400390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.1015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.599609375</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">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2998046875</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.6015625</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.8984375</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.69921875</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">3.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">5</div>
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.3984375</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">2.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.0</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7001953125</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">2.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.19921875</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">4.80078125</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">2.7%</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-assoc-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">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.099609375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2001953125</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2998046875</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.400390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.599609375</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">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7001953125</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.900390625</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.30078125</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.5</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">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.599609375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.69921875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">3.80078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</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-assoc-row__label text-label pos-detail-num-label">6.8984375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.69921875</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">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.6015625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.3984375</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.30078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">6.1015625</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">2</div>
<div class="pos-detail-num-pair-pos__perc">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.8984375</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">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.80078125</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">2.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.69921875</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.6015625</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.5</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.3984375</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.30078125</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">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">5.19921875</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">1.3%</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">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"></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">3</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">2</div>
<div class="pos-assoc-row__source text-label
color-source">0.96</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">0</div>
<div class="pos-assoc-row__source text-label
color-source">0.82</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">1</div>
<div class="pos-assoc-row__source text-label
color-red">-0.37</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">3</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">4</div>
<div class="pos-assoc-row__source text-label color-source">0.96</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-assoc-row__label text-label pos-detail-num-label">0.199951171875</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">19.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2998046875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">12</div>
<div class="pos-detail-num-pair-pos__perc">8.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7998046875</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">8.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.400390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.30078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.300048828125</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">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.39990234375</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">7</div>
<div class="pos-detail-num-pair-pos__perc">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.099609375</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">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">6</div>
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.0999755859375</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.900390625</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">3.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2001953125</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.599609375</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">2.7%</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-assoc-row__label text-label pos-detail-num-label">0.0999755859375</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">3.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.199951171875</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">19.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.300048828125</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">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.39990234375</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">4.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">0.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">0.60009765625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">1</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">7</div>
<div class="pos-detail-num-pair-pos__perc">4.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.099609375</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2001953125</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">3.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2998046875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.400390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">12</div>
<div class="pos-detail-num-pair-pos__perc">8.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.599609375</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">2.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7001953125</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">1.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7998046875</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">8.0%</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-assoc-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">3</div>
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.400390625</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.30078125</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.19921875</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">2.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">2.099609375</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">4.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-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">6</div>
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.900390625</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">3.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7998046875</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">8.0%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.7001953125</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">1.3%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.599609375</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">2.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-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">12</div>
<div class="pos-detail-num-pair-pos__perc">8.0%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.400390625</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">8</div>
<div class="pos-detail-num-pair-pos__perc">5.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2998046875</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">13</div>
<div class="pos-detail-num-pair-pos__perc">8.7%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.2001953125</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">3.3%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label pos-detail-num-label">1.099609375</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">2.0%</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-cat"></div>
<span class="text-title-tab">4</span>
</div>
<span class="detail_graph-f4-
pos-detail-cat-graph" id="detail_graph-f4"
style="top: 75px;"></span>
<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-cat-breakdown" id="detail_breakdown-f4"
style="top: 263.0px; height: 647.0px;">
<!-- 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;">2.0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">50</div>
<div class="pair-pos__perc">33%</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">50</div>
<div class="pair-pos__perc">33%</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: 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">50</div>
<div class="pair-pos__perc">33%</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">150</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
</div>
<!-- ASSOCIATIONS -->
<!-- CAT-CAT- -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f4">
<span class="bg-extra-column"></span>
<div class="container-detail-assoc">
<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%;">4<br>
PROVIDES INFORMATION ON...</div>
<hr>
<br>
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES GIVE INFORMATION<br>
ON 4:</div>
<hr>
<br>
<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%;">4<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">2</div>
<div class="pos-assoc-row__source text-label color-source">0.97</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">3</div>
<div class="pos-assoc-row__source text-label color-source">0.96</div>
</div>
<div class="assoc-row ">
<div class="pos-assoc-row__label text-label">0</div>
<div class="pos-assoc-row__source text-label color-source">0.79</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-assoc-row__label text-label">1</div>
<div class="pos-assoc-row__source text-label color-source">0.63</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>
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