Overview

Brought to you by YData

Dataset statistics

Number of variables16
Number of observations4524
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory565.6 KiB
Average record size in memory128.0 B

Variable types

Numeric16

Alerts

-14030.123 is highly overall correlated with -21681.281 and 6 other fieldsHigh correlation
-15586.721 is highly overall correlated with -21681.281 and 5 other fieldsHigh correlation
-178412.72 is highly overall correlated with -7324.242 and 1 other fieldsHigh correlation
-21681.281 is highly overall correlated with -14030.123 and 10 other fieldsHigh correlation
-22810.537 is highly overall correlated with -14030.123 and 8 other fieldsHigh correlation
-25910.32 is highly overall correlated with -15586.721 and 2 other fieldsHigh correlation
-27168.545 is highly overall correlated with -15586.721 and 5 other fieldsHigh correlation
-28179.135 is highly overall correlated with -21681.281 and 6 other fieldsHigh correlation
-33106.8 is highly overall correlated with -15586.721 and 5 other fieldsHigh correlation
-43919.77 is highly overall correlated with -14030.123 and 8 other fieldsHigh correlation
-608.3251 is highly overall correlated with -14030.123 and 7 other fieldsHigh correlation
-7324.242 is highly overall correlated with -14030.123 and 7 other fieldsHigh correlation
-9204.046 is highly overall correlated with -14030.123 and 7 other fieldsHigh correlation
4245.289 is highly overall correlated with -21681.281 and 6 other fieldsHigh correlation
44924.234 is highly overall correlated with -7324.242High correlation
52221.945 is highly overall correlated with -14030.123 and 5 other fieldsHigh correlation

Reproduction

Analysis started2025-04-24 11:02:42.261627
Analysis finished2025-04-24 11:02:56.929832
Duration14.67 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

44924.234
Real number (ℝ)

High correlation 

Distinct4313
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45364.235
Minimum44718.98
Maximum46145.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2025-04-24T13:02:57.113479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44718.98
5-th percentile44891.461
Q145129.118
median45372.209
Q345608.02
95-th percentile45849.361
Maximum46145.49
Range1426.51
Interquartile range (IQR)478.9015

Descriptive statistics

Standard deviation304.24414
Coefficient of variation (CV)0.0067066962
Kurtosis-0.92143244
Mean45364.235
Median Absolute Deviation (MAD)239.7565
Skewness0.034824747
Sum2.052278 × 108
Variance92564.498
MonotonicityNot monotonic
2025-04-24T13:02:57.174991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45597.18 3
 
0.1%
45265.367 3
 
0.1%
45463.67 3
 
0.1%
45390.156 3
 
0.1%
45257.387 3
 
0.1%
45429.453 3
 
0.1%
45571.875 3
 
0.1%
44925.13 3
 
0.1%
45149.34 2
 
< 0.1%
45689.96 2
 
< 0.1%
Other values (4303) 4496
99.4%
ValueCountFrequency (%)
44718.98 1
< 0.1%
44726.086 1
< 0.1%
44745.51 1
< 0.1%
44748.46 1
< 0.1%
44754.965 1
< 0.1%
44755.703 1
< 0.1%
44757.6 1
< 0.1%
44760.17 1
< 0.1%
44762.117 1
< 0.1%
44762.14 1
< 0.1%
ValueCountFrequency (%)
46145.49 1
< 0.1%
46140.906 1
< 0.1%
46140.773 1
< 0.1%
46138 1
< 0.1%
46135.92 1
< 0.1%
46130.445 1
< 0.1%
46124.188 1
< 0.1%
46112.832 1
< 0.1%
46111.336 1
< 0.1%
46111.203 1
< 0.1%

52221.945
Real number (ℝ)

High correlation 

Distinct4275
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51561.617
Minimum50963.207
Maximum52395.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2025-04-24T13:02:57.238048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum50963.207
5-th percentile51049.777
Q151203.895
median51355.637
Q352048.105
95-th percentile52299.177
Maximum52395.17
Range1431.963
Interquartile range (IQR)844.2095

Descriptive statistics

Standard deviation437.46058
Coefficient of variation (CV)0.0084842293
Kurtosis-1.3046021
Mean51561.617
Median Absolute Deviation (MAD)245.2775
Skewness0.52241711
Sum2.3326476 × 108
Variance191371.76
MonotonicityNot monotonic
2025-04-24T13:02:57.301650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51067.277 3
 
0.1%
50982.004 3
 
0.1%
51190.86 3
 
0.1%
51257.133 3
 
0.1%
51217.836 3
 
0.1%
51196.223 3
 
0.1%
51257.02 3
 
0.1%
51254.81 3
 
0.1%
51020.137 3
 
0.1%
52355.586 3
 
0.1%
Other values (4265) 4494
99.3%
ValueCountFrequency (%)
50963.207 1
 
< 0.1%
50970.383 1
 
< 0.1%
50979.86 1
 
< 0.1%
50980.863 1
 
< 0.1%
50982.004 3
0.1%
50982.16 1
 
< 0.1%
50982.61 1
 
< 0.1%
50983.21 1
 
< 0.1%
50984.016 1
 
< 0.1%
50984.844 1
 
< 0.1%
ValueCountFrequency (%)
52395.17 1
< 0.1%
52393.72 1
< 0.1%
52393.316 1
< 0.1%
52385.918 1
< 0.1%
52382.387 1
< 0.1%
52381 1
< 0.1%
52377.38 1
< 0.1%
52376.64 1
< 0.1%
52375.746 1
< 0.1%
52375.523 1
< 0.1%

-33106.8
Real number (ℝ)

High correlation 

Distinct4340
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-33347.027
Minimum-33955.184
Maximum-32619.375
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:57.367032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-33955.184
5-th percentile-33867.995
Q1-33691.152
median-33356.916
Q3-33001.746
95-th percentile-32839.686
Maximum-32619.375
Range1335.809
Interquartile range (IQR)689.406

Descriptive statistics

Standard deviation357.73677
Coefficient of variation (CV)-0.010727696
Kurtosis-1.3909788
Mean-33347.027
Median Absolute Deviation (MAD)346.6435
Skewness0.0080302396
Sum-1.5086195 × 108
Variance127975.6
MonotonicityNot monotonic
2025-04-24T13:02:57.428237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-33730.86 3
 
0.1%
-33420.773 3
 
0.1%
-33570.04 3
 
0.1%
-33064.465 3
 
0.1%
-33467.246 2
 
< 0.1%
-32818.17 2
 
< 0.1%
-33893.18 2
 
< 0.1%
-33455.914 2
 
< 0.1%
-33045.38 2
 
< 0.1%
-33387.316 2
 
< 0.1%
Other values (4330) 4500
99.5%
ValueCountFrequency (%)
-33955.184 1
< 0.1%
-33950.4 1
< 0.1%
-33947.582 1
< 0.1%
-33946.02 1
< 0.1%
-33945.305 1
< 0.1%
-33943.383 1
< 0.1%
-33942.465 1
< 0.1%
-33938.105 1
< 0.1%
-33936.72 1
< 0.1%
-33936.297 1
< 0.1%
ValueCountFrequency (%)
-32619.375 1
< 0.1%
-32622.908 1
< 0.1%
-32626.082 1
< 0.1%
-32633.658 1
< 0.1%
-32636.162 1
< 0.1%
-32637.906 1
< 0.1%
-32640.967 1
< 0.1%
-32657.709 1
< 0.1%
-32664.168 1
< 0.1%
-32668.594 1
< 0.1%

-22810.537
Real number (ℝ)

High correlation 

Distinct4007
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-22948.09
Minimum-23261.482
Maximum-22595.557
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:57.494174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23261.482
5-th percentile-23144.331
Q1-23065.369
median-22946.792
Q3-22836.179
95-th percentile-22754.079
Maximum-22595.557
Range665.925
Interquartile range (IQR)229.19

Descriptive statistics

Standard deviation130.50962
Coefficient of variation (CV)-0.0056871671
Kurtosis-1.020486
Mean-22948.09
Median Absolute Deviation (MAD)114.5295
Skewness0.038883252
Sum-1.0381716 × 108
Variance17032.762
MonotonicityNot monotonic
2025-04-24T13:02:57.555755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-23049.857 4
 
0.1%
-22972.943 4
 
0.1%
-22780.271 3
 
0.1%
-22910.293 3
 
0.1%
-22939.371 3
 
0.1%
-22841.783 3
 
0.1%
-22779.535 3
 
0.1%
-23103.277 3
 
0.1%
-22863.6 3
 
0.1%
-23117.314 3
 
0.1%
Other values (3997) 4492
99.3%
ValueCountFrequency (%)
-23261.482 1
< 0.1%
-23259.248 1
< 0.1%
-23253.928 1
< 0.1%
-23250.754 1
< 0.1%
-23245.502 1
< 0.1%
-23237.969 1
< 0.1%
-23231.643 1
< 0.1%
-23229.832 1
< 0.1%
-23229.564 1
< 0.1%
-23224.736 1
< 0.1%
ValueCountFrequency (%)
-22595.557 1
< 0.1%
-22606.732 1
< 0.1%
-22607.47 1
< 0.1%
-22609.684 1
< 0.1%
-22616.926 1
< 0.1%
-22620.658 1
< 0.1%
-22622.871 1
< 0.1%
-22623.363 1
< 0.1%
-22626.94 1
< 0.1%
-22629.354 1
< 0.1%

-27168.545
Real number (ℝ)

High correlation 

Distinct4325
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-27651.263
Minimum-28346.705
Maximum-26897.105
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:57.619153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28346.705
5-th percentile-28266.386
Q1-28093.087
median-27648.438
Q3-27202.62
95-th percentile-27037.746
Maximum-26897.105
Range1449.6
Interquartile range (IQR)890.46725

Descriptive statistics

Standard deviation443.72052
Coefficient of variation (CV)-0.016047025
Kurtosis-1.4849703
Mean-27651.263
Median Absolute Deviation (MAD)445.7505
Skewness-0.0021821132
Sum-1.2509431 × 108
Variance196887.9
MonotonicityNot monotonic
2025-04-24T13:02:57.682970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-28255.6 3
 
0.1%
-27065.84 3
 
0.1%
-27037.72 3
 
0.1%
-27062.465 3
 
0.1%
-28269.48 3
 
0.1%
-28261.902 3
 
0.1%
-27086.76 3
 
0.1%
-27088.66 3
 
0.1%
-27071.65 3
 
0.1%
-27114.03 2
 
< 0.1%
Other values (4315) 4495
99.4%
ValueCountFrequency (%)
-28346.705 1
< 0.1%
-28344.492 1
< 0.1%
-28342.28 1
< 0.1%
-28329.941 1
< 0.1%
-28329.875 1
< 0.1%
-28327.818 1
< 0.1%
-28327.64 1
< 0.1%
-28327.238 1
< 0.1%
-28326.12 1
< 0.1%
-28325.74 1
< 0.1%
ValueCountFrequency (%)
-26897.105 1
< 0.1%
-26911.41 1
< 0.1%
-26914.629 1
< 0.1%
-26923.75 1
< 0.1%
-26926.03 1
< 0.1%
-26927.93 1
< 0.1%
-26929.896 1
< 0.1%
-26932.443 1
< 0.1%
-26932.98 1
< 0.1%
-26933.248 1
< 0.1%

-178412.72
Real number (ℝ)

High correlation 

Distinct573
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-186177.25
Minimum-187500.02
Maximum-170982.08
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:57.746117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-187500.02
5-th percentile-187500.02
Q1-187500.02
median-187500.02
Q3-187500.02
95-th percentile-175684.81
Maximum-170982.08
Range16517.94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3745.3616
Coefficient of variation (CV)-0.020117182
Kurtosis5.9792745
Mean-186177.25
Median Absolute Deviation (MAD)0
Skewness2.7158081
Sum-8.4226587 × 108
Variance14027734
MonotonicityNot monotonic
2025-04-24T13:02:57.794651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-187500.02 3952
87.4%
-174779.8 1
 
< 0.1%
-173221.73 1
 
< 0.1%
-173241.8 1
 
< 0.1%
-174324.55 1
 
< 0.1%
-172948.12 1
 
< 0.1%
-174463.84 1
 
< 0.1%
-173720.8 1
 
< 0.1%
-173698.56 1
 
< 0.1%
-174771.62 1
 
< 0.1%
Other values (563) 563
 
12.4%
ValueCountFrequency (%)
-187500.02 3952
87.4%
-187454.56 1
 
< 0.1%
-187418.12 1
 
< 0.1%
-187317.97 1
 
< 0.1%
-187304.58 1
 
< 0.1%
-187295.45 1
 
< 0.1%
-187284.78 1
 
< 0.1%
-187273.2 1
 
< 0.1%
-187263.08 1
 
< 0.1%
-187212.84 1
 
< 0.1%
ValueCountFrequency (%)
-170982.08 1
< 0.1%
-171041.14 1
< 0.1%
-171104.1 1
< 0.1%
-171112.78 1
< 0.1%
-171278.94 1
< 0.1%
-171290.31 1
< 0.1%
-171382.11 1
< 0.1%
-171436.5 1
< 0.1%
-171439.38 1
< 0.1%
-171455.77 1
< 0.1%

-28179.135
Real number (ℝ)

High correlation 

Distinct4085
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-28280.194
Minimum-28573.42
Maximum-27920.033
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:57.860737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28573.42
5-th percentile-28480.655
Q1-28386.922
median-28283.417
Q3-28175.598
95-th percentile-28074.48
Maximum-27920.033
Range653.387
Interquartile range (IQR)211.324

Descriptive statistics

Standard deviation129.37533
Coefficient of variation (CV)-0.0045747679
Kurtosis-0.96185725
Mean-28280.194
Median Absolute Deviation (MAD)105.914
Skewness0.042014917
Sum-1.279396 × 108
Variance16737.975
MonotonicityNot monotonic
2025-04-24T13:02:57.922231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-28291.117 4
 
0.1%
-28366.957 3
 
0.1%
-28246.547 3
 
0.1%
-28317.582 3
 
0.1%
-28189.283 3
 
0.1%
-28195.25 3
 
0.1%
-28138.611 3
 
0.1%
-28193.262 3
 
0.1%
-28326.434 3
 
0.1%
-28339.018 3
 
0.1%
Other values (4075) 4493
99.3%
ValueCountFrequency (%)
-28573.42 1
< 0.1%
-28558.623 1
< 0.1%
-28551.201 1
< 0.1%
-28550.979 1
< 0.1%
-28550.195 1
< 0.1%
-28547.738 1
< 0.1%
-28545.19 1
< 0.1%
-28543.781 1
< 0.1%
-28542.955 1
< 0.1%
-28542.418 1
< 0.1%
ValueCountFrequency (%)
-27920.033 1
< 0.1%
-27956.87 1
< 0.1%
-27958.59 1
< 0.1%
-27959.082 1
< 0.1%
-27962.412 1
< 0.1%
-27968.648 1
< 0.1%
-27968.783 1
< 0.1%
-27969.877 1
< 0.1%
-27974.258 1
< 0.1%
-27982.775 1
< 0.1%

-25910.32
Real number (ℝ)

High correlation 

Distinct3956
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25905.439
Minimum-26152.48
Maximum-25630.701
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:58.001819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-26152.48
5-th percentile-26062.861
Q1-25984.255
median-25908.544
Q3-25826.66
95-th percentile-25742.802
Maximum-25630.701
Range521.779
Interquartile range (IQR)157.59525

Descriptive statistics

Standard deviation100.70653
Coefficient of variation (CV)-0.0038874669
Kurtosis-0.80663657
Mean-25905.439
Median Absolute Deviation (MAD)79.248
Skewness0.038265628
Sum-1.1719621 × 108
Variance10141.806
MonotonicityNot monotonic
2025-04-24T13:02:58.049411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-25832.604 4
 
0.1%
-25952.79 4
 
0.1%
-25971.273 4
 
0.1%
-25871.988 4
 
0.1%
-25881.219 4
 
0.1%
-25965.62 4
 
0.1%
-25796.305 3
 
0.1%
-25945.19 3
 
0.1%
-25868.658 3
 
0.1%
-26005.025 3
 
0.1%
Other values (3946) 4488
99.2%
ValueCountFrequency (%)
-26152.48 1
< 0.1%
-26141.305 1
< 0.1%
-26141.281 1
< 0.1%
-26138.777 1
< 0.1%
-26136.81 1
< 0.1%
-26135.85 1
< 0.1%
-26133.48 1
< 0.1%
-26132.81 1
< 0.1%
-26132.072 1
< 0.1%
-26130.62 1
< 0.1%
ValueCountFrequency (%)
-25630.701 1
< 0.1%
-25632.734 1
< 0.1%
-25638.547 1
< 0.1%
-25642.412 1
< 0.1%
-25644.559 1
< 0.1%
-25647.152 1
< 0.1%
-25651.645 1
< 0.1%
-25651.912 1
< 0.1%
-25660.562 1
< 0.1%
-25661.95 1
< 0.1%

-7324.242
Real number (ℝ)

High correlation 

Distinct4298
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8066.2796
Minimum-8603.544
Maximum-7270.0615
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:58.114583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-8603.544
5-th percentile-8483.6739
Q1-8306.7295
median-8149.5579
Q3-7817.2043
95-th percentile-7433.5071
Maximum-7270.0615
Range1333.4825
Interquartile range (IQR)489.52517

Descriptive statistics

Standard deviation320.86704
Coefficient of variation (CV)-0.039778815
Kurtosis-0.59686046
Mean-8066.2796
Median Absolute Deviation (MAD)185.6091
Skewness0.68429394
Sum-36491849
Variance102955.66
MonotonicityNot monotonic
2025-04-24T13:02:58.178447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8276.963 3
 
0.1%
-8313.173 3
 
0.1%
-7658.3784 3
 
0.1%
-8235.59 3
 
0.1%
-8180.8057 3
 
0.1%
-8264.558 3
 
0.1%
-7649.6387 3
 
0.1%
-8201.973 2
 
< 0.1%
-8102.9097 2
 
< 0.1%
-8529.962 2
 
< 0.1%
Other values (4288) 4497
99.4%
ValueCountFrequency (%)
-8603.544 1
< 0.1%
-8600.549 1
< 0.1%
-8594.536 1
< 0.1%
-8594.269 1
< 0.1%
-8588.971 1
< 0.1%
-8587.474 1
< 0.1%
-8586.646 1
< 0.1%
-8580.768 1
< 0.1%
-8580.433 1
< 0.1%
-8580.298 1
< 0.1%
ValueCountFrequency (%)
-7270.0615 1
< 0.1%
-7274.621 1
< 0.1%
-7275.1797 1
< 0.1%
-7276.007 1
< 0.1%
-7277.281 1
< 0.1%
-7278.868 1
< 0.1%
-7279.382 1
< 0.1%
-7279.695 1
< 0.1%
-7283.0254 1
< 0.1%
-7283.316 1
< 0.1%

-14030.123
Real number (ℝ)

High correlation 

Distinct4113
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-14280.897
Minimum-14625.082
Maximum-13938.928
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:58.242577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-14625.082
5-th percentile-14514.102
Q1-14401.905
median-14282.217
Q3-14180.562
95-th percentile-14021.616
Maximum-13938.928
Range686.154
Interquartile range (IQR)221.343

Descriptive statistics

Standard deviation150.23438
Coefficient of variation (CV)-0.010519954
Kurtosis-0.74026388
Mean-14280.897
Median Absolute Deviation (MAD)110.1715
Skewness0.11474159
Sum-64606780
Variance22570.368
MonotonicityNot monotonic
2025-04-24T13:02:58.314947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14241.525 4
 
0.1%
-14351.005 4
 
0.1%
-14349.239 4
 
0.1%
-14377.29 3
 
0.1%
-14199.84 3
 
0.1%
-14323.937 3
 
0.1%
-14198.61 3
 
0.1%
-14343.896 3
 
0.1%
-14261.486 3
 
0.1%
-14233.256 3
 
0.1%
Other values (4103) 4491
99.3%
ValueCountFrequency (%)
-14625.082 1
< 0.1%
-14615.917 1
< 0.1%
-14604.429 1
< 0.1%
-14603.848 1
< 0.1%
-14602.528 1
< 0.1%
-14601.1875 1
< 0.1%
-14600.941 1
< 0.1%
-14600.808 1
< 0.1%
-14599.958 1
< 0.1%
-14599.668 1
< 0.1%
ValueCountFrequency (%)
-13938.928 1
< 0.1%
-13944.158 1
< 0.1%
-13944.672 1
< 0.1%
-13945.209 1
< 0.1%
-13947.466 2
< 0.1%
-13947.578 1
< 0.1%
-13947.891 1
< 0.1%
-13947.913 1
< 0.1%
-13948.182 1
< 0.1%
-13948.428 1
< 0.1%

4245.289
Real number (ℝ)

High correlation 

Distinct4452
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5945.0026
Minimum3537.141
Maximum8359.374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.5 KiB
2025-04-24T13:02:58.370526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3537.141
5-th percentile3794.383
Q14415.3972
median5942.4795
Q37481.3468
95-th percentile8115.2055
Maximum8359.374
Range4822.233
Interquartile range (IQR)3065.9496

Descriptive statistics

Standard deviation1545.801
Coefficient of variation (CV)0.26001687
Kurtosis-1.495183
Mean5945.0026
Median Absolute Deviation (MAD)1534.5365
Skewness-0.00048194522
Sum26895192
Variance2389500.6
MonotonicityNot monotonic
2025-04-24T13:02:58.561614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7993.766 3
 
0.1%
6202.9893 3
 
0.1%
7793.852 2
 
< 0.1%
4187.912 2
 
< 0.1%
3805.9656 2
 
< 0.1%
7853.844 2
 
< 0.1%
3888.4658 2
 
< 0.1%
7340.425 2
 
< 0.1%
3875.2783 2
 
< 0.1%
6370.1577 2
 
< 0.1%
Other values (4442) 4502
99.5%
ValueCountFrequency (%)
3537.141 1
< 0.1%
3540.2705 1
< 0.1%
3558.5989 1
< 0.1%
3559.0237 1
< 0.1%
3561.773 1
< 0.1%
3561.9517 1
< 0.1%
3566.355 1
< 0.1%
3571.9875 1
< 0.1%
3572.6804 1
< 0.1%
3573.4404 1
< 0.1%
ValueCountFrequency (%)
8359.374 1
< 0.1%
8354.747 1
< 0.1%
8345.046 1
< 0.1%
8337.67 1
< 0.1%
8335.301 1
< 0.1%
8334.697 1
< 0.1%
8326.628 1
< 0.1%
8322.493 1
< 0.1%
8321.354 1
< 0.1%
8319.677 1
< 0.1%

-608.3251
Real number (ℝ)

High correlation 

Distinct4152
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-810.93888
Minimum-1298.2787
Maximum-398.4422
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:58.625773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1298.2787
5-th percentile-1093.6318
Q1-927.7371
median-805.7133
Q3-687.07027
95-th percentile-537.4868
Maximum-398.4422
Range899.8365
Interquartile range (IQR)240.66683

Descriptive statistics

Standard deviation171.12662
Coefficient of variation (CV)-0.21102283
Kurtosis-0.56168701
Mean-810.93888
Median Absolute Deviation (MAD)120.85587
Skewness-0.052896011
Sum-3668687.5
Variance29284.319
MonotonicityNot monotonic
2025-04-24T13:02:58.690190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-782.0875 4
 
0.1%
-849.478 4
 
0.1%
-782.2216 3
 
0.1%
-752.1362 3
 
0.1%
-939.35443 3
 
0.1%
-660.2705 3
 
0.1%
-899.92596 3
 
0.1%
-936.60516 3
 
0.1%
-847.5781 3
 
0.1%
-700.88367 3
 
0.1%
Other values (4142) 4492
99.3%
ValueCountFrequency (%)
-1298.2787 1
< 0.1%
-1293.1602 1
< 0.1%
-1279.928 1
< 0.1%
-1278.0728 1
< 0.1%
-1277.7822 1
< 0.1%
-1275.3905 1
< 0.1%
-1265.7123 1
< 0.1%
-1264.997 1
< 0.1%
-1264.4158 1
< 0.1%
-1253.2177 1
< 0.1%
ValueCountFrequency (%)
-398.4422 1
< 0.1%
-401.7726 1
< 0.1%
-402.1526 1
< 0.1%
-405.30417 1
< 0.1%
-405.41595 1
< 0.1%
-409.52866 1
< 0.1%
-409.90863 1
< 0.1%
-411.20505 1
< 0.1%
-411.47327 1
< 0.1%
-411.7862 1
< 0.1%

-15586.721
Real number (ℝ)

High correlation 

Distinct4224
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15924.393
Minimum-16394.4
Maximum-15387.5
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:58.738132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-16394.4
5-th percentile-16279.907
Q1-16118.558
median-15913.336
Q3-15762.573
95-th percentile-15523.617
Maximum-15387.5
Range1006.9
Interquartile range (IQR)355.98525

Descriptive statistics

Standard deviation231.38102
Coefficient of variation (CV)-0.014529974
Kurtosis-0.78380414
Mean-15924.393
Median Absolute Deviation (MAD)175.953
Skewness0.089379461
Sum-72041952
Variance53537.175
MonotonicityNot monotonic
2025-04-24T13:02:58.817448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15816.8545 3
 
0.1%
-15958.676 3
 
0.1%
-16099.716 3
 
0.1%
-15803.398 3
 
0.1%
-15505.227 3
 
0.1%
-15852.572 3
 
0.1%
-16216.347 3
 
0.1%
-15928.613 3
 
0.1%
-15766.451 3
 
0.1%
-15657.129 3
 
0.1%
Other values (4214) 4494
99.3%
ValueCountFrequency (%)
-16394.4 1
< 0.1%
-16391.652 1
< 0.1%
-16388.768 1
< 0.1%
-16386.713 1
< 0.1%
-16384.723 1
< 0.1%
-16383.337 1
< 0.1%
-16381.75 1
< 0.1%
-16381.169 1
< 0.1%
-16378.554 1
< 0.1%
-16378.084 1
< 0.1%
ValueCountFrequency (%)
-15387.5 1
< 0.1%
-15388.863 1
< 0.1%
-15389.601 1
< 0.1%
-15390.227 1
< 0.1%
-15392.887 1
< 0.1%
-15394.026 1
< 0.1%
-15394.16 1
< 0.1%
-15395.188 1
< 0.1%
-15395.301 1
< 0.1%
-15395.726 1
< 0.1%

-9204.046
Real number (ℝ)

High correlation 

Distinct4056
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9480.8882
Minimum-9787.091
Maximum-9167.031
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:58.865041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9787.091
5-th percentile-9694.7439
Q1-9580.193
median-9481.2855
Q3-9386.4028
95-th percentile-9255.4182
Maximum-9167.031
Range620.06
Interquartile range (IQR)193.79025

Descriptive statistics

Standard deviation133.41925
Coefficient of variation (CV)-0.014072443
Kurtosis-0.6720182
Mean-9480.8882
Median Absolute Deviation (MAD)97.8555
Skewness0.013135365
Sum-42891538
Variance17800.698
MonotonicityNot monotonic
2025-04-24T13:02:58.944607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9537.937 5
 
0.1%
-9490.417 4
 
0.1%
-9671.712 4
 
0.1%
-9623.052 4
 
0.1%
-9531.052 4
 
0.1%
-9463.125 4
 
0.1%
-9465.896 3
 
0.1%
-9493.546 3
 
0.1%
-9351.009 3
 
0.1%
-9422.758 3
 
0.1%
Other values (4046) 4487
99.2%
ValueCountFrequency (%)
-9787.091 1
< 0.1%
-9785.906 1
< 0.1%
-9784.253 1
< 0.1%
-9779.671 1
< 0.1%
-9778.776 1
< 0.1%
-9778.6875 1
< 0.1%
-9777.547 1
< 0.1%
-9777.078 1
< 0.1%
-9775.491 1
< 0.1%
-9774.954 1
< 0.1%
ValueCountFrequency (%)
-9167.031 1
< 0.1%
-9179.481 1
< 0.1%
-9181.918 1
< 0.1%
-9181.963 1
< 0.1%
-9183.594 1
< 0.1%
-9184.689 1
< 0.1%
-9187.036 1
< 0.1%
-9187.685 1
< 0.1%
-9187.818 1
< 0.1%
-9188.154 1
< 0.1%

-21681.281
Real number (ℝ)

High correlation 

Distinct3932
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-21921.227
Minimum-22149.887
Maximum-21670.531
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:59.008524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-22149.887
5-th percentile-22080.51
Q1-22002.599
median-21922.747
Q3-21844.785
95-th percentile-21753.264
Maximum-21670.531
Range479.356
Interquartile range (IQR)157.81425

Descriptive statistics

Standard deviation101.73873
Coefficient of variation (CV)-0.0046411058
Kurtosis-0.80055312
Mean-21921.227
Median Absolute Deviation (MAD)79.014
Skewness0.087842928
Sum-99171630
Variance10350.77
MonotonicityNot monotonic
2025-04-24T13:02:59.056145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-21867.83 4
 
0.1%
-21947.96 4
 
0.1%
-22018.592 4
 
0.1%
-21846.64 3
 
0.1%
-21851.355 3
 
0.1%
-21833.117 3
 
0.1%
-21877.373 3
 
0.1%
-21882.871 3
 
0.1%
-21814.99 3
 
0.1%
-21842.059 3
 
0.1%
Other values (3922) 4491
99.3%
ValueCountFrequency (%)
-22149.887 1
< 0.1%
-22133.682 1
< 0.1%
-22131.893 1
< 0.1%
-22127.914 1
< 0.1%
-22127.893 1
< 0.1%
-22125.076 1
< 0.1%
-22123.488 1
< 0.1%
-22123.31 1
< 0.1%
-22122.46 1
< 0.1%
-22122.26 1
< 0.1%
ValueCountFrequency (%)
-21670.531 1
< 0.1%
-21670.799 1
< 0.1%
-21672.61 1
< 0.1%
-21672.81 1
< 0.1%
-21673.547 1
< 0.1%
-21675.068 1
< 0.1%
-21675.291 1
< 0.1%
-21678.71 1
< 0.1%
-21681.146 1
< 0.1%
-21681.506 1
< 0.1%

-43919.77
Real number (ℝ)

High correlation 

Distinct4420
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-42604.058
Minimum-43987.07
Maximum-41074.305
Zeros0
Zeros (%)0.0%
Negative4524
Negative (%)100.0%
Memory size35.5 KiB
2025-04-24T13:02:59.120249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-43987.07
5-th percentile-43861.4
Q1-43512.795
median-42595.842
Q3-41696.787
95-th percentile-41336.286
Maximum-41074.305
Range2912.765
Interquartile range (IQR)1816.0078

Descriptive statistics

Standard deviation908.39443
Coefficient of variation (CV)-0.021321782
Kurtosis-1.4770378
Mean-42604.058
Median Absolute Deviation (MAD)906.7985
Skewness0.0013198866
Sum-1.9274076 × 108
Variance825180.43
MonotonicityNot monotonic
2025-04-24T13:02:59.184563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-41522.926 3
 
0.1%
-43798.31 3
 
0.1%
-41874.785 3
 
0.1%
-43797.082 3
 
0.1%
-42661.277 2
 
< 0.1%
-43796.21 2
 
< 0.1%
-43806.56 2
 
< 0.1%
-41354.996 2
 
< 0.1%
-43848.47 2
 
< 0.1%
-41441.566 2
 
< 0.1%
Other values (4410) 4500
99.5%
ValueCountFrequency (%)
-43987.07 1
< 0.1%
-43977.438 1
< 0.1%
-43976.99 2
< 0.1%
-43974.598 1
< 0.1%
-43973.547 1
< 0.1%
-43973.324 1
< 0.1%
-43972.586 1
< 0.1%
-43972.406 1
< 0.1%
-43971.984 1
< 0.1%
-43971.715 2
< 0.1%
ValueCountFrequency (%)
-41074.305 1
< 0.1%
-41077.05 1
< 0.1%
-41079.42 1
< 0.1%
-41082.55 1
< 0.1%
-41082.82 1
< 0.1%
-41088.855 1
< 0.1%
-41091.516 1
< 0.1%
-41093.48 1
< 0.1%
-41109.26 1
< 0.1%
-41121.086 1
< 0.1%

Interactions

2025-04-24T13:02:56.057420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:42.526892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:43.416909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:44.426623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:45.317158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:46.191963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:47.221632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:48.086950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:49.127202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:49.947350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:50.808615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:51.807542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:52.596272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:53.408757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:54.250533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:55.233197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:56.112350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:42.593580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:43.476607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:44.476661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:45.367093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:46.387047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:47.277260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:48.148881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:49.182161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:50.003351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:50.856399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:51.854920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:52.644484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:53.465354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:54.297345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:55.280843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:56.172377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:42.646726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:43.534166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:44.539789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-04-24T13:02:54.138259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:55.136133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:55.961033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:56.860456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:43.362041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:44.366658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:45.256775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:46.136928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:47.158340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:48.037383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:49.072127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:49.883521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:50.745274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:51.743306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:52.549083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:53.354069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:54.201571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:55.184489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-24T13:02:55.993834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-24T13:02:59.232686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
-14030.123-15586.721-178412.72-21681.281-22810.537-25910.32-27168.545-28179.135-33106.8-43919.77-608.3251-7324.242-9204.0464245.28944924.23452221.945
-14030.1231.0000.4080.4310.8070.6420.0850.4010.4010.251-0.5960.9370.7650.935-0.482-0.0760.778
-15586.7210.4081.0000.3790.5670.250-0.7880.607-0.0840.622-0.1700.2380.5290.3640.321-0.2540.501
-178412.720.4310.3791.0000.342-0.039-0.1550.002-0.166-0.092-0.0380.2800.5580.387-0.015-0.3190.550
-21681.2810.8070.5670.3421.0000.826-0.0130.7890.6470.646-0.8180.7030.6070.842-0.511-0.0500.470
-22810.5370.6420.250-0.0390.8261.0000.2700.8210.9070.726-0.8670.6410.2370.675-0.6090.2130.118
-25910.320.085-0.788-0.155-0.0130.2701.000-0.2160.538-0.314-0.2950.227-0.2470.139-0.6810.295-0.246
-27168.5450.4010.6070.0020.7890.821-0.2161.0000.6810.961-0.7120.3100.1980.441-0.2340.1250.014
-28179.1350.401-0.084-0.1660.6470.9070.5380.6811.0000.582-0.8460.424-0.0060.464-0.7270.346-0.177
-33106.80.2510.622-0.0920.6460.726-0.3140.9610.5821.000-0.5380.1590.0260.252-0.0270.227-0.095
-43919.77-0.596-0.170-0.038-0.818-0.867-0.295-0.712-0.846-0.5381.000-0.564-0.425-0.7130.8230.010-0.139
-608.32510.9370.2380.2800.7030.6410.2270.3100.4240.159-0.5641.0000.6540.929-0.532-0.1490.698
-7324.2420.7650.5290.5580.6070.237-0.2470.198-0.0060.026-0.4250.6541.0000.782-0.332-0.5040.835
-9204.0460.9350.3640.3870.8420.6750.1390.4410.4640.252-0.7130.9290.7821.000-0.620-0.2790.702
4245.289-0.4820.321-0.015-0.511-0.609-0.681-0.234-0.727-0.0270.823-0.532-0.332-0.6201.0000.039-0.091
44924.234-0.076-0.254-0.319-0.0500.2130.2950.1250.3460.2270.010-0.149-0.504-0.2790.0391.000-0.401
52221.9450.7780.5010.5500.4700.118-0.2460.014-0.177-0.095-0.1390.6980.8350.702-0.091-0.4011.000

Sample

44924.23452221.945-33106.8-22810.537-27168.545-178412.72-28179.135-25910.32-7324.242-14030.1234245.289-608.3251-15586.721-9204.046-21681.281-43919.77
044885.99252183.523-33497.754-23094.984-27868.290-177641.73-28482.402-26038.979-7551.9614-14249.8187849.5527-857.52466-15568.594-9446.183-21876.926-41672.750
144929.89052226.550-33666.620-22933.783-27839.701-178995.10-28269.928-25825.115-7377.0590-14080.3924052.2595-641.38330-15850.628-9265.155-21794.783-43240.723
244948.71052224.582-33014.645-22914.360-27194.920-177550.02-28326.635-26045.549-7409.5137-14115.1716638.5800-728.62220-15395.188-9324.924-21740.648-42946.730
344919.34052219.844-33906.164-23106.965-28270.598-178583.48-28459.940-25915.037-7512.9800-14212.4016304.4440-784.23330-15853.958-9413.840-21912.600-41839.760
444979.33252268.190-33113.240-22811.006-27184.773-178465.25-28195.004-25914.121-7296.9507-14003.5694248.9100-584.18520-15591.817-9208.069-21689.148-43921.380
544939.00852226.617-33495.273-23094.940-27873.988-177729.66-28494.451-26039.960-7532.5600-14228.2277871.7925-839.77740-15574.449-9449.982-21882.000-41675.920
644970.95052271.117-33671.203-22932.957-27861.404-179137.44-28282.646-25829.252-7367.4478-14061.5054079.6404-624.55240-15862.676-9263.367-21809.088-43221.970
744979.35552253.060-33012.207-22916.371-27193.893-177735.27-28326.477-26041.951-7399.9030-14103.7716623.4253-715.05460-15399.056-9320.007-21754.037-42958.400
844946.02752241.234-33901.875-23113.380-28268.676-178765.30-28448.541-25907.818-7512.8460-14212.8496344.5425-787.98840-15847.968-9414.510-21916.734-41827.715
945003.36052284.440-33112.387-22823.590-27180.168-178619.67-28183.873-25917.630-7296.0786-14005.4024241.8690-589.01320-15582.340-9214.082-21691.027-43927.055
44924.23452221.945-33106.8-22810.537-27168.545-178412.72-28179.135-25910.32-7324.242-14030.1234245.289-608.3251-15586.721-9204.046-21681.281-43919.77
451446097.70351647.484-33561.120-22840.018-28052.557-187500.02-28161.030-25677.639-8418.2705-14108.1535359.7470-531.25630-16265.678-9426.289-21948.742-42113.258
451546145.49051681.950-32636.162-22609.684-26926.030-187500.02-28019.074-25810.543-8293.3470-13991.2985669.3633-454.63450-15781.069-9319.270-21771.940-43328.680
451646089.27351639.145-33457.074-22927.705-28058.280-187500.02-28300.594-25807.748-8520.7090-14205.0257882.5215-661.52220-16049.514-9536.886-21999.660-41082.550
451746130.44551685.684-33064.465-22634.740-27348.299-187500.02-27982.775-25669.549-8284.7640-13974.5344032.1428-402.15260-16090.663-9291.308-21806.988-43488.066
451846111.20351656.960-32867.300-22790.555-27347.113-187500.02-28196.055-25883.387-8440.3760-14140.5858054.4062-618.98690-15757.332-9472.223-21889.152-41844.453
451946089.72351654.055-33571.047-22828.730-28053.340-187500.02-28161.790-25669.549-8422.5840-14117.1835372.6665-534.85490-16270.685-9426.065-21946.977-42108.832
452046138.00051690.758-32640.967-22595.557-26933.248-187500.02-28018.002-25800.977-8296.7440-13992.6395653.7397-453.78513-15791.888-9316.319-21770.420-43329.305
452146090.03551647.863-33463.200-22928.174-28066.885-187500.02-28303.590-25806.900-8526.4080-14201.4727896.4470-662.79626-16061.427-9534.852-22003.012-41074.305
452246140.90651687.960-33078.348-22642.920-27367.342-187500.02-27997.236-25675.896-8296.4760-13976.1884024.0068-405.30417-16105.817-9300.538-21810.898-43479.910
452346124.18851652.560-32871.773-22804.322-27352.121-187500.02-28203.453-25897.736-8454.6140-14144.0728029.3276-620.73030-15771.234-9479.866-21898.965-41851.227