Overview

Dataset statistics

Number of variables20
Number of observations569
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.0 KiB
Average record size in memory160.2 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:09:51.782056
Analysis finished2020-08-25 01:10:47.052389
Duration55.27 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

2 is highly correlated with 25 and 2 other fieldsHigh correlation
25 is highly correlated with 2 and 2 other fieldsHigh correlation
15 is highly correlated with 14High correlation
14 is highly correlated with 15High correlation
24 is highly correlated with 25 and 2 other fieldsHigh correlation
4 is highly correlated with 25 and 2 other fieldsHigh correlation
29 has 13 (2.3%) zeros Zeros
19 has 13 (2.3%) zeros Zeros
18 has 13 (2.3%) zeros Zeros

Variables

29
Real number (ℝ≥0)

ZEROS

Distinct count492
Unique (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11460622319859401
Minimum0.0
Maximum0.29100000000000004
Zeros13
Zeros (%)2.3%
Memory size4.6 KiB
2020-08-25T01:10:47.100023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024286
Q10.06493
median0.09993
Q30.1614
95-th percentile0.23692
Maximum0.291
Range0.291
Interquartile range (IQR)0.09647

Descriptive statistics

Standard deviation0.0657323412
Coefficient of variation (CV)0.5735494929
Kurtosis-0.5355351225
Mean0.1146062232
Median Absolute Deviation (MAD)0.04457
Skewness0.4926155269
Sum65.210941
Variance0.004320740679
2020-08-25T01:10:47.214858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0132.3%
 
0.121830.5%
 
0.170830.5%
 
0.0256430.5%
 
0.0430630.5%
 
0.110530.5%
 
0.182730.5%
 
0.0629630.5%
 
0.0743130.5%
 
0.0555630.5%
 
0.0238120.4%
 
0.0588220.4%
 
0.091420.4%
 
0.109920.4%
 
0.0257920.4%
 
0.177220.4%
 
0.0384620.4%
 
0.247520.4%
 
0.087520.4%
 
0.058920.4%
 
0.0613620.4%
 
0.105620.4%
 
0.0111120.4%
 
0.115520.4%
 
0.120520.4%
 
Other values (467)49987.7%
 
ValueCountFrequency (%) 
0132.3%
 
0.00877210.2%
 
0.00925910.2%
 
0.0104210.2%
 
0.0111120.4%
 
0.0138910.2%
 
0.0163510.2%
 
0.0166710.2%
 
0.0185210.2%
 
0.0202210.2%
 
ValueCountFrequency (%) 
0.29110.2%
 
0.290310.2%
 
0.286710.2%
 
0.275610.2%
 
0.273310.2%
 
0.270110.2%
 
0.268810.2%
 
0.268510.2%
 
0.265410.2%
 
0.26510.2%
 

17
Real number (ℝ≥0)

Distinct count541
Unique (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025478138840070295
Minimum0.002252
Maximum0.1354
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:47.343223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.002252
5-th percentile0.0078922
Q10.01308
median0.02045
Q30.03245
95-th percentile0.060578
Maximum0.1354
Range0.133148
Interquartile range (IQR)0.01937

Descriptive statistics

Standard deviation0.01790817933
Coefficient of variation (CV)0.702884125
Kurtosis5.106252483
Mean0.02547813884
Median Absolute Deviation (MAD)0.00876
Skewness1.90222071
Sum14.497061
Variance0.0003207028868
2020-08-25T01:10:47.455968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0110430.5%
 
0.0181230.5%
 
0.023130.5%
 
0.0164620.4%
 
0.0139520.4%
 
0.0138220.4%
 
0.0117420.4%
 
0.0305320.4%
 
0.0137120.4%
 
0.0158720.4%
 
0.0181920.4%
 
0.0142720.4%
 
0.0317920.4%
 
0.0277220.4%
 
0.0144320.4%
 
0.00916920.4%
 
0.0150320.4%
 
0.0221920.4%
 
0.0124620.4%
 
0.0187720.4%
 
0.0120320.4%
 
0.011820.4%
 
0.0305520.4%
 
0.0172720.4%
 
0.0243120.4%
 
Other values (516)51690.7%
 
ValueCountFrequency (%) 
0.00225210.2%
 
0.00301210.2%
 
0.0037110.2%
 
0.00374610.2%
 
0.0046610.2%
 
0.00469310.2%
 
0.00471110.2%
 
0.00488310.2%
 
0.00489910.2%
 
0.0049310.2%
 
ValueCountFrequency (%) 
0.135410.2%
 
0.106410.2%
 
0.100610.2%
 
0.0980610.2%
 
0.0958610.2%
 
0.0936810.2%
 
0.0880810.2%
 
0.0866810.2%
 
0.0860610.2%
 
0.0855510.2%
 

25
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count544
Unique (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean880.5831282952548
Minimum185.2
Maximum4254.0
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:47.585604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum185.2
5-th percentile331.06
Q1515.3
median686.5
Q31084
95-th percentile2009.6
Maximum4254
Range4068.8
Interquartile range (IQR)568.7

Descriptive statistics

Standard deviation569.3569927
Coefficient of variation (CV)0.6465681369
Kurtosis4.396394829
Mean880.5831283
Median Absolute Deviation (MAD)215.6
Skewness1.859373272
Sum501051.8
Variance324167.3851
2020-08-25T01:10:47.691614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
733.520.4%
 
808.920.4%
 
126120.4%
 
547.420.4%
 
402.820.4%
 
162320.4%
 
749.920.4%
 
121020.4%
 
45820.4%
 
126920.4%
 
160320.4%
 
698.820.4%
 
439.620.4%
 
830.520.4%
 
284.420.4%
 
70620.4%
 
708.820.4%
 
472.420.4%
 
546.720.4%
 
725.920.4%
 
143720.4%
 
826.420.4%
 
489.520.4%
 
175020.4%
 
624.120.4%
 
Other values (519)51991.2%
 
ValueCountFrequency (%) 
185.210.2%
 
223.610.2%
 
240.110.2%
 
242.210.2%
 
24810.2%
 
249.810.2%
 
259.210.2%
 
268.610.2%
 
27010.2%
 
273.910.2%
 
ValueCountFrequency (%) 
425410.2%
 
343210.2%
 
323410.2%
 
321610.2%
 
314310.2%
 
294410.2%
 
290610.2%
 
278210.2%
 
264210.2%
 
261510.2%
 

19
Real number (ℝ≥0)

ZEROS

Distinct count507
Unique (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011796137082601054
Minimum0.0
Maximum0.05279
Zeros13
Zeros (%)2.3%
Memory size4.6 KiB
2020-08-25T01:10:47.811136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0038308
Q10.007638
median0.01093
Q30.01471
95-th percentile0.022884
Maximum0.05279
Range0.05279
Interquartile range (IQR)0.007072

Descriptive statistics

Standard deviation0.006170285174
Coefficient of variation (CV)0.5230767607
Kurtosis5.126301943
Mean0.01179613708
Median Absolute Deviation (MAD)0.003485
Skewness1.444678145
Sum6.712002
Variance3.807241913e-05
2020-08-25T01:10:47.912880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0132.3%
 
0.0149930.5%
 
0.011130.5%
 
0.0116730.5%
 
0.00922220.4%
 
0.0116120.4%
 
0.0171220.4%
 
0.0103720.4%
 
0.0142120.4%
 
0.0184120.4%
 
0.0115520.4%
 
0.0118420.4%
 
0.0147120.4%
 
0.0104320.4%
 
0.015820.4%
 
0.0116420.4%
 
0.0151920.4%
 
0.0083620.4%
 
0.0124120.4%
 
0.01220.4%
 
0.0126920.4%
 
0.00549520.4%
 
0.0100420.4%
 
0.0184320.4%
 
0.00919920.4%
 
Other values (482)50588.8%
 
ValueCountFrequency (%) 
0132.3%
 
0.00185210.2%
 
0.00238610.2%
 
0.00240410.2%
 
0.00292410.2%
 
0.00294110.2%
 
0.00312510.2%
 
0.00324210.2%
 
0.00333310.2%
 
0.0033910.2%
 
ValueCountFrequency (%) 
0.0527910.2%
 
0.040910.2%
 
0.0392710.2%
 
0.0348710.2%
 
0.0344110.2%
 
0.0332210.2%
 
0.0302410.2%
 
0.0291910.2%
 
0.0285310.2%
 
0.0280110.2%
 

10
Real number (ℝ≥0)

Distinct count432
Unique (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18116186291739894
Minimum0.106
Maximum0.304
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:48.025003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.106
5-th percentile0.1415
Q10.1619
median0.1792
Q30.1957
95-th percentile0.23072
Maximum0.304
Range0.198
Interquartile range (IQR)0.0338

Descriptive statistics

Standard deviation0.02741428134
Coefficient of variation (CV)0.1513247926
Kurtosis1.287932992
Mean0.1811618629
Median Absolute Deviation (MAD)0.0171
Skewness0.7256089734
Sum103.0811
Variance0.0007515428212
2020-08-25T01:10:48.144387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.171740.7%
 
0.171440.7%
 
0.160140.7%
 
0.176940.7%
 
0.189340.7%
 
0.151630.5%
 
0.19330.5%
 
0.177930.5%
 
0.192530.5%
 
0.194330.5%
 
0.17230.5%
 
0.148730.5%
 
0.186130.5%
 
0.195330.5%
 
0.161930.5%
 
0.166930.5%
 
0.15930.5%
 
0.150630.5%
 
0.166730.5%
 
0.180930.5%
 
0.188530.5%
 
0.173930.5%
 
0.146730.5%
 
0.196630.5%
 
0.173530.5%
 
Other values (407)48985.9%
 
ValueCountFrequency (%) 
0.10610.2%
 
0.116710.2%
 
0.120310.2%
 
0.121510.2%
 
0.12210.2%
 
0.127410.2%
 
0.130510.2%
 
0.130810.2%
 
0.133710.2%
 
0.133910.2%
 
ValueCountFrequency (%) 
0.30410.2%
 
0.290610.2%
 
0.274310.2%
 
0.267810.2%
 
0.265510.2%
 
0.259710.2%
 
0.259510.2%
 
0.256910.2%
 
0.255610.2%
 
0.254810.2%
 

11
Real number (ℝ≥0)

Distinct count499
Unique (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06279760984182776
Minimum0.04996
Maximum0.09744
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:48.271605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.04996
5-th percentile0.053926
Q10.0577
median0.06154
Q30.06612
95-th percentile0.07609
Maximum0.09744
Range0.04748
Interquartile range (IQR)0.00842

Descriptive statistics

Standard deviation0.007060362795
Coefficient of variation (CV)0.1124304382
Kurtosis3.00589212
Mean0.06279760984
Median Absolute Deviation (MAD)0.00422
Skewness1.304488813
Sum35.73184
Variance4.98487228e-05
2020-08-25T01:10:48.373922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0566730.5%
 
0.0611330.5%
 
0.0590730.5%
 
0.0591330.5%
 
0.0678230.5%
 
0.061420.4%
 
0.0588320.4%
 
0.0570820.4%
 
0.0669720.4%
 
0.061320.4%
 
0.0641220.4%
 
0.0585920.4%
 
0.0597620.4%
 
0.0591620.4%
 
0.057820.4%
 
0.0595520.4%
 
0.0631720.4%
 
0.0700520.4%
 
0.0604820.4%
 
0.0661220.4%
 
0.0588420.4%
 
0.0589820.4%
 
0.0591220.4%
 
0.0612920.4%
 
0.0558120.4%
 
Other values (474)51490.3%
 
ValueCountFrequency (%) 
0.0499610.2%
 
0.0502410.2%
 
0.0502510.2%
 
0.0504410.2%
 
0.0505410.2%
 
0.0509610.2%
 
0.0517610.2%
 
0.0517710.2%
 
0.0518510.2%
 
0.0522310.2%
 
ValueCountFrequency (%) 
0.0974410.2%
 
0.0957510.2%
 
0.0950210.2%
 
0.0929610.2%
 
0.089810.2%
 
0.0874310.2%
 
0.084510.2%
 
0.0826110.2%
 
0.0824310.2%
 
0.0814210.2%
 

30
Real number (ℝ≥0)

Distinct count500
Unique (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2900755711775044
Minimum0.1565
Maximum0.6638
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:48.489109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.1565
5-th percentile0.2127
Q10.2504
median0.2822
Q30.3179
95-th percentile0.40616
Maximum0.6638
Range0.5073
Interquartile range (IQR)0.0675

Descriptive statistics

Standard deviation0.06186746754
Coefficient of variation (CV)0.2132805161
Kurtosis4.444559518
Mean0.2900755712
Median Absolute Deviation (MAD)0.0342
Skewness1.433927765
Sum165.053
Variance0.00382758354
2020-08-25T01:10:48.588700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.297230.5%
 
0.236930.5%
 
0.238330.5%
 
0.222630.5%
 
0.319630.5%
 
0.310930.5%
 
0.311320.4%
 
0.255720.4%
 
0.288420.4%
 
0.274420.4%
 
0.27120.4%
 
0.305520.4%
 
0.282620.4%
 
0.295520.4%
 
0.255620.4%
 
0.337920.4%
 
0.265120.4%
 
0.310520.4%
 
0.222720.4%
 
0.245820.4%
 
0.25920.4%
 
0.318720.4%
 
0.315120.4%
 
0.25120.4%
 
0.257620.4%
 
Other values (475)51390.2%
 
ValueCountFrequency (%) 
0.156510.2%
 
0.156610.2%
 
0.160310.2%
 
0.164810.2%
 
0.165210.2%
 
0.171210.2%
 
0.178320.4%
 
0.181110.2%
 
0.185910.2%
 
0.18910.2%
 
ValueCountFrequency (%) 
0.663810.2%
 
0.577410.2%
 
0.555810.2%
 
0.54410.2%
 
0.516610.2%
 
0.488210.2%
 
0.486310.2%
 
0.482410.2%
 
0.476110.2%
 
0.475310.2%
 

26
Real number (ℝ≥0)

Distinct count411
Unique (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13236859402460457
Minimum0.07117000000000001
Maximum0.2226
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:48.693682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.07117
5-th percentile0.095734
Q10.1166
median0.1313
Q30.146
95-th percentile0.17184
Maximum0.2226
Range0.15143
Interquartile range (IQR)0.0294

Descriptive statistics

Standard deviation0.0228324294
Coefficient of variation (CV)0.172491289
Kurtosis0.5178251903
Mean0.132368594
Median Absolute Deviation (MAD)0.0147
Skewness0.4154259963
Sum75.31773
Variance0.0005213198325
2020-08-25T01:10:48.810512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.122340.7%
 
0.125640.7%
 
0.121640.7%
 
0.127540.7%
 
0.131240.7%
 
0.134740.7%
 
0.140140.7%
 
0.141540.7%
 
0.123440.7%
 
0.121830.5%
 
0.128930.5%
 
0.124930.5%
 
0.107230.5%
 
0.114230.5%
 
0.136830.5%
 
0.149130.5%
 
0.116630.5%
 
0.111830.5%
 
0.140230.5%
 
0.129830.5%
 
0.14630.5%
 
0.141930.5%
 
0.129730.5%
 
0.119930.5%
 
0.116230.5%
 
Other values (386)48585.2%
 
ValueCountFrequency (%) 
0.0711710.2%
 
0.0812510.2%
 
0.0840910.2%
 
0.0848410.2%
 
0.0856710.2%
 
0.0877410.2%
 
0.0879910.2%
 
0.0882210.2%
 
0.0886410.2%
 
0.0894910.2%
 
ValueCountFrequency (%) 
0.222610.2%
 
0.218410.2%
 
0.209810.2%
 
0.200610.2%
 
0.190910.2%
 
0.190210.2%
 
0.188310.2%
 
0.187810.2%
 
0.187310.2%
 
0.186210.2%
 

14
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count533
Unique (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.866059226713533
Minimum0.757
Maximum21.98
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:48.934659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.757
5-th percentile1.1328
Q11.606
median2.287
Q33.357
95-th percentile7.0416
Maximum21.98
Range21.223
Interquartile range (IQR)1.751

Descriptive statistics

Standard deviation2.021854554
Coefficient of variation (CV)0.7054475829
Kurtosis21.40190493
Mean2.866059227
Median Absolute Deviation (MAD)0.77
Skewness3.443615202
Sum1630.7877
Variance4.087895838
2020-08-25T01:10:49.039876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.77840.7%
 
2.15520.4%
 
1.42920.4%
 
1.53520.4%
 
3.56420.4%
 
2.40620.4%
 
1.14320.4%
 
1.10120.4%
 
1.95920.4%
 
1.56620.4%
 
1.66720.4%
 
2.36320.4%
 
3.76720.4%
 
1.99420.4%
 
2.56920.4%
 
2.76520.4%
 
2.22520.4%
 
2.87320.4%
 
2.4120.4%
 
2.18320.4%
 
2.74720.4%
 
1.95520.4%
 
2.09720.4%
 
1.59720.4%
 
1.44520.4%
 
Other values (508)51790.9%
 
ValueCountFrequency (%) 
0.75710.2%
 
0.771410.2%
 
0.843910.2%
 
0.848410.2%
 
0.87310.2%
 
0.921910.2%
 
0.96810.2%
 
0.981210.2%
 
0.985710.2%
 
0.988710.2%
 
ValueCountFrequency (%) 
21.9810.2%
 
18.6510.2%
 
11.0710.2%
 
10.1210.2%
 
10.0510.2%
 
9.80710.2%
 
9.63510.2%
 
9.42410.2%
 
8.86710.2%
 
8.8310.2%
 

2
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count456
Unique (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.127291739894552
Minimum6.981
Maximum28.11
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:49.147636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum6.981
5-th percentile9.5292
Q111.7
median13.37
Q315.78
95-th percentile20.576
Maximum28.11
Range21.129
Interquartile range (IQR)4.08

Descriptive statistics

Standard deviation3.524048826
Coefficient of variation (CV)0.2494497099
Kurtosis0.8455216229
Mean14.12729174
Median Absolute Deviation (MAD)1.9
Skewness0.9423795717
Sum8038.429
Variance12.41892013
2020-08-25T01:10:49.245512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12.3440.7%
 
12.7730.5%
 
11.7130.5%
 
1330.5%
 
12.4630.5%
 
13.1730.5%
 
11.0630.5%
 
12.1830.5%
 
11.8930.5%
 
11.630.5%
 
10.2630.5%
 
13.8530.5%
 
13.0530.5%
 
15.4630.5%
 
12.8930.5%
 
14.9920.4%
 
19.420.4%
 
12.0520.4%
 
13.7720.4%
 
13.220.4%
 
12.5420.4%
 
14.8720.4%
 
13.8720.4%
 
13.2820.4%
 
11.9320.4%
 
Other values (431)50388.4%
 
ValueCountFrequency (%) 
6.98110.2%
 
7.69110.2%
 
7.72910.2%
 
7.7610.2%
 
8.19610.2%
 
8.21910.2%
 
8.57110.2%
 
8.59710.2%
 
8.59810.2%
 
8.61810.2%
 
ValueCountFrequency (%) 
28.1110.2%
 
27.4210.2%
 
27.2210.2%
 
25.7310.2%
 
25.2210.2%
 
24.6310.2%
 
24.2510.2%
 
23.5110.2%
 
23.2910.2%
 
23.2710.2%
 

6
Real number (ℝ≥0)

Distinct count474
Unique (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09636028119507908
Minimum0.05263
Maximum0.1634
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:49.353428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.05263
5-th percentile0.075042
Q10.08637
median0.09587
Q30.1053
95-th percentile0.11878
Maximum0.1634
Range0.11077
Interquartile range (IQR)0.01893

Descriptive statistics

Standard deviation0.01406412814
Coefficient of variation (CV)0.1459535813
Kurtosis0.8559749304
Mean0.0963602812
Median Absolute Deviation (MAD)0.0095
Skewness0.4563237648
Sum54.829
Variance0.0001977997003
2020-08-25T01:10:49.461315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.100750.9%
 
0.11540.7%
 
0.105440.7%
 
0.107540.7%
 
0.102430.5%
 
0.0946230.5%
 
0.108930.5%
 
0.115830.5%
 
0.106330.5%
 
0.0983130.5%
 
0.108230.5%
 
0.106630.5%
 
0.104430.5%
 
0.109630.5%
 
0.109930.5%
 
0.114130.5%
 
0.104930.5%
 
0.103730.5%
 
0.0851130.5%
 
0.11730.5%
 
0.10320.4%
 
0.0996820.4%
 
0.103620.4%
 
0.100620.4%
 
0.0819220.4%
 
Other values (449)49486.8%
 
ValueCountFrequency (%) 
0.0526310.2%
 
0.0625110.2%
 
0.0642910.2%
 
0.0657610.2%
 
0.0661310.2%
 
0.0682810.2%
 
0.0688310.2%
 
0.0693510.2%
 
0.069510.2%
 
0.0695510.2%
 
ValueCountFrequency (%) 
0.163410.2%
 
0.144710.2%
 
0.142510.2%
 
0.139810.2%
 
0.137110.2%
 
0.133510.2%
 
0.132610.2%
 
0.132310.2%
 
0.129110.2%
 
0.128610.2%
 

18
Real number (ℝ≥0)

ZEROS

Distinct count533
Unique (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03189371634446397
Minimum0.0
Maximum0.396
Zeros13
Zeros (%)2.3%
Memory size4.6 KiB
2020-08-25T01:10:49.580550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0032526
Q10.01509
median0.02589
Q30.04205
95-th percentile0.078936
Maximum0.396
Range0.396
Interquartile range (IQR)0.02696

Descriptive statistics

Standard deviation0.03018606032
Coefficient of variation (CV)0.9464579166
Kurtosis48.8613953
Mean0.03189371634
Median Absolute Deviation (MAD)0.01248
Skewness5.110463049
Sum18.1475246
Variance0.0009111982378
2020-08-25T01:10:49.697916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0132.3%
 
0.0357620.4%
 
0.0434420.4%
 
0.01820.4%
 
0.0207120.4%
 
0.0266420.4%
 
0.0387220.4%
 
0.0218520.4%
 
0.0169820.4%
 
0.0537120.4%
 
0.0294520.4%
 
0.0131120.4%
 
0.015120.4%
 
0.0151420.4%
 
0.0244320.4%
 
0.0107920.4%
 
0.0233220.4%
 
0.0165220.4%
 
0.0211720.4%
 
0.0186520.4%
 
0.0141220.4%
 
0.0268120.4%
 
0.0137620.4%
 
0.0220.4%
 
0.0345220.4%
 
Other values (508)50889.3%
 
ValueCountFrequency (%) 
0132.3%
 
0.00069210.2%
 
0.000792910.2%
 
0.000973710.2%
 
0.00112810.2%
 
0.00118410.2%
 
0.00148710.2%
 
0.00159510.2%
 
0.00159710.2%
 
0.00183510.2%
 
ValueCountFrequency (%) 
0.39610.2%
 
0.303810.2%
 
0.153510.2%
 
0.143810.2%
 
0.143510.2%
 
0.127810.2%
 
0.119710.2%
 
0.116610.2%
 
0.111410.2%
 
0.109110.2%
 

7
Real number (ℝ≥0)

Distinct count537
Unique (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10434098418277679
Minimum0.01938
Maximum0.3454
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:49.827523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.01938
5-th percentile0.04066
Q10.06492
median0.09263
Q30.1304
95-th percentile0.2087
Maximum0.3454
Range0.32602
Interquartile range (IQR)0.06548

Descriptive statistics

Standard deviation0.05281275793
Coefficient of variation (CV)0.5061554512
Kurtosis1.650130467
Mean0.1043409842
Median Absolute Deviation (MAD)0.03263
Skewness1.190123031
Sum59.37002
Variance0.0027891874
2020-08-25T01:10:50.135606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.120630.5%
 
0.114730.5%
 
0.111720.4%
 
0.122320.4%
 
0.126720.4%
 
0.0769820.4%
 
0.0574320.4%
 
0.0383420.4%
 
0.115420.4%
 
0.131320.4%
 
0.1720.4%
 
0.130520.4%
 
0.133920.4%
 
0.114120.4%
 
0.159920.4%
 
0.151620.4%
 
0.148320.4%
 
0.102120.4%
 
0.208720.4%
 
0.0950920.4%
 
0.0772220.4%
 
0.128920.4%
 
0.0579420.4%
 
0.128320.4%
 
0.130620.4%
 
Other values (512)51790.9%
 
ValueCountFrequency (%) 
0.0193810.2%
 
0.0234410.2%
 
0.026510.2%
 
0.0267510.2%
 
0.0311610.2%
 
0.0321210.2%
 
0.0339310.2%
 
0.0339810.2%
 
0.0345410.2%
 
0.0351510.2%
 
ValueCountFrequency (%) 
0.345410.2%
 
0.311410.2%
 
0.286710.2%
 
0.283910.2%
 
0.283210.2%
 
0.277610.2%
 
0.27710.2%
 
0.276810.2%
 
0.266510.2%
 
0.257610.2%
 

15
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count528
Unique (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.337079086116
Minimum6.8020000000000005
Maximum542.2
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:50.254627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum6.802
5-th percentile11.36
Q117.85
median24.53
Q345.19
95-th percentile115.8
Maximum542.2
Range535.398
Interquartile range (IQR)27.34

Descriptive statistics

Standard deviation45.49100552
Coefficient of variation (CV)1.127771434
Kurtosis49.20907651
Mean40.33707909
Median Absolute Deviation (MAD)9.19
Skewness5.447186285
Sum22951.798
Variance2069.431583
2020-08-25T01:10:50.352205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
17.6730.5%
 
16.6430.5%
 
16.9730.5%
 
18.5430.5%
 
74.0820.4%
 
19.5320.4%
 
20.5620.4%
 
16.3920.4%
 
20.220.4%
 
17.7420.4%
 
22.7920.4%
 
23.9220.4%
 
14.3420.4%
 
20.9520.4%
 
19.8720.4%
 
23.1320.4%
 
17.8620.4%
 
20.7420.4%
 
23.1220.4%
 
12.6720.4%
 
33.0120.4%
 
20.6720.4%
 
18.1520.4%
 
104.920.4%
 
34.3720.4%
 
Other values (503)51590.5%
 
ValueCountFrequency (%) 
6.80210.2%
 
7.22810.2%
 
7.25410.2%
 
7.32610.2%
 
8.20510.2%
 
8.32210.2%
 
8.60510.2%
 
8.95510.2%
 
8.96610.2%
 
9.00610.2%
 
ValueCountFrequency (%) 
542.210.2%
 
525.610.2%
 
23310.2%
 
224.110.2%
 
199.710.2%
 
180.210.2%
 
176.510.2%
 
17010.2%
 
164.110.2%
 
158.710.2%
 

13
Real number (ℝ≥0)

Distinct count519
Unique (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2168534270650264
Minimum0.3602
Maximum4.885
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:50.459054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.3602
5-th percentile0.54014
Q10.8339
median1.108
Q31.474
95-th percentile2.212
Maximum4.885
Range4.5248
Interquartile range (IQR)0.6401

Descriptive statistics

Standard deviation0.5516483926
Coefficient of variation (CV)0.4533400493
Kurtosis5.349168692
Mean1.216853427
Median Absolute Deviation (MAD)0.3153
Skewness1.646443809
Sum692.3896
Variance0.3043159491
2020-08-25T01:10:50.555565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.856130.5%
 
1.26830.5%
 
1.3530.5%
 
1.1530.5%
 
1.56320.4%
 
1.62720.4%
 
0.942920.4%
 
1.3920.4%
 
1.16920.4%
 
1.05920.4%
 
1.21620.4%
 
1.03320.4%
 
1.16620.4%
 
1.02320.4%
 
1.02720.4%
 
1.19920.4%
 
1.09520.4%
 
0.733920.4%
 
1.36320.4%
 
1.04620.4%
 
0.822520.4%
 
1.00120.4%
 
1.04520.4%
 
1.01620.4%
 
1.21420.4%
 
Other values (494)51590.5%
 
ValueCountFrequency (%) 
0.360210.2%
 
0.362110.2%
 
0.362810.2%
 
0.387110.2%
 
0.398110.2%
 
0.406410.2%
 
0.412510.2%
 
0.433410.2%
 
0.433610.2%
 
0.440210.2%
 
ValueCountFrequency (%) 
4.88510.2%
 
3.89610.2%
 
3.64710.2%
 
3.56810.2%
 
3.1210.2%
 
2.92710.2%
 
2.9110.2%
 
2.90410.2%
 
2.87810.2%
 
2.83610.2%
 

24
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count514
Unique (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.26121265377857
Minimum50.41
Maximum251.2
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:50.659803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum50.41
5-th percentile67.856
Q184.11
median97.66
Q3125.4
95-th percentile171.64
Maximum251.2
Range200.79
Interquartile range (IQR)41.29

Descriptive statistics

Standard deviation33.60254227
Coefficient of variation (CV)0.3132776652
Kurtosis1.070149667
Mean107.2612127
Median Absolute Deviation (MAD)16.87
Skewness1.128163871
Sum61031.63
Variance1129.130847
2020-08-25T01:10:50.769410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
101.730.5%
 
105.930.5%
 
117.730.5%
 
104.520.4%
 
152.420.4%
 
79.9320.4%
 
79.7320.4%
 
184.620.4%
 
85.0720.4%
 
113.720.4%
 
76.5120.4%
 
127.120.4%
 
85.5620.4%
 
100.920.4%
 
171.120.4%
 
84.4820.4%
 
170.320.4%
 
87.3620.4%
 
152.220.4%
 
92.0420.4%
 
158.820.4%
 
108.120.4%
 
95.2920.4%
 
159.820.4%
 
135.120.4%
 
Other values (489)51690.7%
 
ValueCountFrequency (%) 
50.4110.2%
 
54.4910.2%
 
56.6510.2%
 
57.1710.2%
 
57.2610.2%
 
58.0810.2%
 
58.3610.2%
 
59.1610.2%
 
59.910.2%
 
60.910.2%
 
ValueCountFrequency (%) 
251.210.2%
 
229.310.2%
 
220.810.2%
 
21410.2%
 
211.710.2%
 
211.510.2%
 
206.810.2%
 
20610.2%
 
205.710.2%
 
202.410.2%
 

3
Real number (ℝ≥0)

Distinct count479
Unique (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.289648506151142
Minimum9.71
Maximum39.28
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:50.892652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum9.71
5-th percentile13.088
Q116.17
median18.84
Q321.8
95-th percentile27.15
Maximum39.28
Range29.57
Interquartile range (IQR)5.63

Descriptive statistics

Standard deviation4.301035768
Coefficient of variation (CV)0.2229711841
Kurtosis0.7583189724
Mean19.28964851
Median Absolute Deviation (MAD)2.81
Skewness0.6504495421
Sum10975.81
Variance18.49890868
2020-08-25T01:10:51.000901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14.9330.5%
 
15.730.5%
 
18.930.5%
 
16.8430.5%
 
17.4630.5%
 
18.2230.5%
 
20.5230.5%
 
16.8530.5%
 
19.8330.5%
 
18.8920.4%
 
13.9820.4%
 
20.2220.4%
 
18.1820.4%
 
18.6120.4%
 
21.2520.4%
 
27.1520.4%
 
21.8420.4%
 
14.9620.4%
 
16.5820.4%
 
20.7620.4%
 
21.5320.4%
 
15.5120.4%
 
21.4620.4%
 
21.5920.4%
 
13.920.4%
 
Other values (454)51089.6%
 
ValueCountFrequency (%) 
9.7110.2%
 
10.3810.2%
 
10.7210.2%
 
10.8210.2%
 
10.8910.2%
 
10.9110.2%
 
10.9410.2%
 
11.2810.2%
 
11.7910.2%
 
11.8910.2%
 
ValueCountFrequency (%) 
39.2810.2%
 
33.8110.2%
 
33.5610.2%
 
32.4710.2%
 
31.1210.2%
 
30.7210.2%
 
30.6210.2%
 
29.9710.2%
 
29.8110.2%
 
29.4310.2%
 

4
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count522
Unique (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.96903339191564
Minimum43.79
Maximum188.5
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:51.123509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum43.79
5-th percentile60.496
Q175.17
median86.24
Q3104.1
95-th percentile135.82
Maximum188.5
Range144.71
Interquartile range (IQR)28.93

Descriptive statistics

Standard deviation24.29898104
Coefficient of variation (CV)0.2642082899
Kurtosis0.9722135477
Mean91.96903339
Median Absolute Deviation (MAD)12.71
Skewness0.9906504254
Sum52330.38
Variance590.4404795
2020-08-25T01:10:51.235777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
82.6130.5%
 
134.730.5%
 
87.7630.5%
 
13020.4%
 
58.7920.4%
 
133.820.4%
 
85.9820.4%
 
113.420.4%
 
81.3520.4%
 
84.0820.4%
 
73.3420.4%
 
107.120.4%
 
130.720.4%
 
88.3720.4%
 
117.420.4%
 
88.7320.4%
 
78.8320.4%
 
78.2920.4%
 
79.1920.4%
 
102.420.4%
 
132.420.4%
 
71.4920.4%
 
82.6920.4%
 
132.920.4%
 
87.2120.4%
 
Other values (497)51690.7%
 
ValueCountFrequency (%) 
43.7910.2%
 
47.9210.2%
 
47.9810.2%
 
48.3410.2%
 
51.7110.2%
 
53.2710.2%
 
54.0910.2%
 
54.3410.2%
 
54.4210.2%
 
54.5310.2%
 
ValueCountFrequency (%) 
188.510.2%
 
186.910.2%
 
182.110.2%
 
174.210.2%
 
171.510.2%
 
166.210.2%
 
165.510.2%
 
158.910.2%
 
155.110.2%
 
153.510.2%
 

27
Real number (ℝ≥0)

Distinct count529
Unique (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25426504393673116
Minimum0.02729
Maximum1.058
Zeros0
Zeros (%)0.0%
Memory size4.6 KiB
2020-08-25T01:10:51.358377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.02729
5-th percentile0.071196
Q10.1472
median0.2119
Q30.3391
95-th percentile0.56412
Maximum1.058
Range1.03071
Interquartile range (IQR)0.1919

Descriptive statistics

Standard deviation0.1573364889
Coefficient of variation (CV)0.6187893014
Kurtosis3.039288172
Mean0.2542650439
Median Absolute Deviation (MAD)0.0871
Skewness1.4735549
Sum144.67681
Variance0.02475477074
2020-08-25T01:10:51.475788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.148630.5%
 
0.341630.5%
 
0.226420.4%
 
0.151720.4%
 
0.16520.4%
 
0.0734820.4%
 
0.358320.4%
 
0.167620.4%
 
0.373520.4%
 
0.406120.4%
 
0.269820.4%
 
0.17120.4%
 
0.104920.4%
 
0.470620.4%
 
0.21720.4%
 
0.305520.4%
 
0.44820.4%
 
0.180820.4%
 
0.135220.4%
 
0.187920.4%
 
0.120220.4%
 
0.177320.4%
 
0.134620.4%
 
0.25520.4%
 
0.184320.4%
 
Other values (504)51790.9%
 
ValueCountFrequency (%) 
0.0272910.2%
 
0.0343210.2%
 
0.0432710.2%
 
0.0461910.2%
 
0.0471210.2%
 
0.0495310.2%
 
0.0503610.2%
 
0.0513110.2%
 
0.0521310.2%
 
0.0523210.2%
 
ValueCountFrequency (%) 
1.05810.2%
 
0.937910.2%
 
0.932710.2%
 
0.868110.2%
 
0.866310.2%
 
0.791710.2%
 
0.772510.2%
 
0.758410.2%
 
0.744410.2%
 
0.739410.2%
 

target
Boolean

Distinct count2
Unique (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
0
357
1
212
ValueCountFrequency (%) 
035762.7%
 
121237.3%
 

Interactions

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2020-08-25T01:10:28.914104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:29.052648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:29.473693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:29.891648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:30.036070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:30.682230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:33.061474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:33.219510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:33.347982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:33.471953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:33.601727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:33.743849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:33.887048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.020338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.146370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.284281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.412821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.544540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.669388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.821089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:34.976939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:35.131379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:35.280291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:35.439671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:35.593414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:35.740511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:36.187941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:36.338996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:37.109581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:37.445261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:37.599246image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:37.746658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:37.893140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:38.035629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:38.323428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:38.480594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:38.616553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:38.750245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:38.912072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.044752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.173969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.312215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.464787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.609635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.745584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:39.879643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.026333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.166623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.306901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.447929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.596693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.745720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:40.902823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:41.055120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:41.210588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:41.350584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:41.499391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:41.654455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:41.988599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:42.127500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:42.272200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:42.432556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:42.580600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:42.728177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:42.869050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:43.027943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:43.176425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:43.328195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:43.619330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:43.760308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:43.910063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:44.047078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:44.193394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:10:44.452995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:44.592653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:44.719932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:44.844938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:44.980575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.125192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.259860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.392180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.518298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.662601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.798401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:45.939255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:10:51.630263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:10:51.927098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:10:52.247427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:10:52.545228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:10:46.428265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:10:46.895250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

291725191011302614261871513243427target
00.26540.049042019.00.015870.24190.078710.46010.16228.58917.990.118400.053730.27760153.400.9053184.6010.38122.800.66561
10.18600.013081956.00.013400.18120.056670.27500.12383.39820.570.084740.018600.0786474.080.7339158.8017.77132.900.18661
20.24300.040061709.00.020580.20690.059990.36130.14444.58519.690.109600.038320.1599094.030.7869152.5021.25130.000.42451
30.25750.07458567.70.018670.25970.097440.66380.20983.44511.420.142500.056610.2839027.231.156098.8720.3877.580.86631
40.16250.024611575.00.018850.18090.058830.23640.13745.43820.290.100300.056880.1328094.440.7813152.2014.34135.100.20501
50.17410.03345741.60.011370.20870.076130.39850.17912.21712.450.127800.036720.1700027.190.8902103.4015.7082.570.52491
60.19320.013821606.00.010390.17940.057420.30630.14423.18018.250.094630.022540.1090053.910.7732153.2019.98119.600.25761
70.15560.03029897.00.014480.21960.074510.31960.16543.85613.710.118900.024880.1645050.961.3770110.6020.8390.200.36821
80.20600.03502739.30.012260.23500.073890.43780.17032.40613.000.127300.035530.1932024.321.0020106.2021.8287.500.54011
90.22100.07217711.40.014320.20300.082430.43660.18532.03912.460.118600.077430.2396023.941.599097.6524.0483.971.05801

Last rows

291725191011302614261871513243427target
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