Overview

Dataset statistics

Number of variables20
Number of observations1059
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory165.6 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-24 23:58:20.318631
Analysis finished2020-08-24 23:59:18.655093
Duration58.34 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

V27 is highly correlated with V54 and 1 other fieldsHigh correlation
V54 is highly correlated with V27 and 1 other fieldsHigh correlation
V19 is highly correlated with V54 and 1 other fieldsHigh correlation
V114 is highly correlated with V106High correlation
V106 is highly correlated with V114High correlation
V77 is highly correlated with V86High correlation
V86 is highly correlated with V77High correlation
V11 has unique values Unique
V12 has unique values Unique
V41 has unique values Unique
V63 has unique values Unique

Variables

V45
Real number (ℝ)

Distinct count1058
Unique (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0034789810280146946
Minimum-2.5113799571990967
Maximum5.179880142211914
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:18.698853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.511379957
5-th percentile-1.303158176
Q1-0.604341507
median-0.1717039943
Q30.3996820003
95-th percentile2.027093935
Maximum5.179880142
Range7.691260099
Interquartile range (IQR)1.004023507

Descriptive statistics

Standard deviation1.010523011
Coefficient of variation (CV)290.4652262
Kurtosis3.158654604
Mean0.003478981028
Median Absolute Deviation (MAD)0.5005899966
Skewness1.352836806
Sum3.684240909
Variance1.021156756
2020-08-24T23:59:18.824877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0527370013320.2%
 
-1.05078005810.1%
 
1.26118004310.1%
 
0.132569000110.1%
 
-0.031412001710.1%
 
-0.707670986710.1%
 
-0.0923250019610.1%
 
0.0111149996510.1%
 
-0.292171001410.1%
 
0.578781008710.1%
 
-0.298137009110.1%
 
-0.450046002910.1%
 
-0.787177979910.1%
 
-0.171054005610.1%
 
-1.70442795810.1%
 
0.0165470000410.1%
 
0.128575995610.1%
 
-0.416676998110.1%
 
-0.279612004810.1%
 
-1.11584699210.1%
 
-1.09500205510.1%
 
-0.0099280001610.1%
 
-0.940782010610.1%
 
-0.401414006910.1%
 
-0.30696898710.1%
 
Other values (1033)103397.5%
 
ValueCountFrequency (%) 
-2.51137995710.1%
 
-2.08139395710.1%
 
-2.07648491910.1%
 
-1.98331701810.1%
 
-1.97049105210.1%
 
-1.93755102210.1%
 
-1.90067601210.1%
 
-1.89763498310.1%
 
-1.77239799510.1%
 
-1.77087700410.1%
 
ValueCountFrequency (%) 
5.17988014210.1%
 
4.8411011710.1%
 
4.74627304110.1%
 
4.73265790910.1%
 
3.98751306510.1%
 
3.88171696710.1%
 
3.85560202610.1%
 
3.77010607710.1%
 
3.67577791210.1%
 
3.56744003310.1%
 

V5
Real number (ℝ)

Distinct count1058
Unique (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025363653081243224
Minimum-3.3863890171051025
Maximum2.2802300453186035
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:18.951994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.386389017
5-th percentile-1.884827089
Q1-0.5996769965
median0.1573960036
Q30.7358705103
95-th percentile1.469519842
Maximum2.280230045
Range5.666619062
Interquartile range (IQR)1.335547507

Descriptive statistics

Standard deviation0.9993633017
Coefficient of variation (CV)39.40139453
Kurtosis0.1426196983
Mean0.02536365308
Median Absolute Deviation (MAD)0.6386630088
Skewness-0.6116487792
Sum26.86010861
Variance0.9987270088
2020-08-24T23:59:19.055045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0113930003720.2%
 
0.231932997710.1%
 
1.27077400710.1%
 
-0.221840992610.1%
 
0.248374000210.1%
 
1.14191198310.1%
 
-1.38905501410.1%
 
-2.77208590510.1%
 
-0.0724299997110.1%
 
-0.0494779981710.1%
 
0.111005000810.1%
 
-0.69980400810.1%
 
0.96827298410.1%
 
0.746717989410.1%
 
0.0200999993810.1%
 
0.903967022910.1%
 
-1.73951995410.1%
 
1.53440499310.1%
 
-2.53371691710.1%
 
-0.128263995110.1%
 
-1.50904202510.1%
 
1.7395069610.1%
 
0.11042799810.1%
 
1.46997094210.1%
 
-0.247711002810.1%
 
Other values (1033)103397.5%
 
ValueCountFrequency (%) 
-3.38638901710.1%
 
-3.32689189910.1%
 
-3.04736590410.1%
 
-2.96275591910.1%
 
-2.85639691410.1%
 
-2.8539249910.1%
 
-2.77208590510.1%
 
-2.74842810610.1%
 
-2.72798991210.1%
 
-2.71722292910.1%
 
ValueCountFrequency (%) 
2.28023004510.1%
 
2.12645888310.1%
 
2.04555606810.1%
 
1.96812200510.1%
 
1.96640002710.1%
 
1.94944596310.1%
 
1.90495502910.1%
 
1.88788795510.1%
 
1.87496495210.1%
 
1.85589504210.1%
 

V54
Real number (ℝ)

HIGH CORRELATION

Distinct count681
Unique (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010905199575262554
Minimum-0.8308749794960022
Maximum9.76649570465088
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:19.166795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.8308749795
5-th percentile-0.7907828152
Q1-0.6273179948
median-0.3246900141
Q30.2263849974
95-th percentile2.090909052
Maximum9.766495705
Range10.59737068
Interquartile range (IQR)0.8537029922

Descriptive statistics

Standard deviation1.01758214
Coefficient of variation (CV)93.31164764
Kurtosis14.75025216
Mean0.01090519958
Median Absolute Deviation (MAD)0.3560329974
Skewness2.972362558
Sum11.54860635
Variance1.035473412
2020-08-24T23:59:19.450928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.78134000370.7%
 
-0.812300026460.6%
 
-0.713230013850.5%
 
-0.521282017250.5%
 
-0.23800399950.5%
 
-0.782887995250.5%
 
-0.798367977150.5%
 
-0.761216998150.5%
 
-0.770503997850.5%
 
-0.815394997650.5%
 
-0.301470994940.4%
 
-0.686914026740.4%
 
-0.453171998340.4%
 
-0.411377012740.4%
 
-0.101782999940.4%
 
-0.628091990940.4%
 
-0.398992985540.4%
 
-0.79991602940.4%
 
-0.433048009940.4%
 
-0.0104539999740.4%
 
-0.655955016640.4%
 
-0.542954027740.4%
 
-0.51973402540.4%
 
-0.614160001340.4%
 
-0.765860974840.4%
 
Other values (656)94689.3%
 
ValueCountFrequency (%) 
-0.830874979510.1%
 
-0.826231002810.1%
 
-0.823135018320.2%
 
-0.821587026130.3%
 
-0.820038974310.1%
 
-0.818490982120.2%
 
-0.816942989820.2%
 
-0.815394997650.5%
 
-0.813848018610.1%
 
-0.812300026460.6%
 
ValueCountFrequency (%) 
9.76649570510.1%
 
7.7077021610.1%
 
6.048283110.1%
 
4.95541906410.1%
 
4.78049898110.1%
 
4.63963413210.1%
 
4.63344287910.1%
 
4.3424248710.1%
 
4.11642217610.1%
 
4.05140781410.1%
 

V43
Real number (ℝ)

Distinct count1058
Unique (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007005758248040905
Minimum-2.589081048965454
Maximum4.892819881439209
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:19.571043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.589081049
5-th percentile-1.431166017
Q1-0.606038481
median-0.139091
Q30.4636314958
95-th percentile1.812300956
Maximum4.892819881
Range7.48190093
Interquartile range (IQR)1.069669977

Descriptive statistics

Standard deviation1.007847763
Coefficient of variation (CV)143.8599118
Kurtosis2.506259071
Mean0.007005758248
Median Absolute Deviation (MAD)0.523522988
Skewness1.000359047
Sum7.419097985
Variance1.015757114
2020-08-24T23:59:19.690669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.291173994520.2%
 
-1.65234303510.1%
 
0.0394699983310.1%
 
-0.179370999310.1%
 
-0.662793993910.1%
 
-0.695993006210.1%
 
0.542201995810.1%
 
-0.649115979710.1%
 
0.0390320010510.1%
 
-0.416653990710.1%
 
-0.0992050021910.1%
 
-2.44307804110.1%
 
-1.0911810410.1%
 
0.145192995710.1%
 
0.327935010210.1%
 
0.918631970910.1%
 
-1.51143097910.1%
 
0.207691997310.1%
 
-0.53346997510.1%
 
-0.613938987310.1%
 
-0.598856985610.1%
 
0.639326989710.1%
 
0.51823002110.1%
 
1.97493898910.1%
 
1.36848497410.1%
 
Other values (1033)103397.5%
 
ValueCountFrequency (%) 
-2.58908104910.1%
 
-2.54480004310.1%
 
-2.47256898910.1%
 
-2.44307804110.1%
 
-2.35532593710.1%
 
-2.34409904510.1%
 
-2.29479408310.1%
 
-2.15936708510.1%
 
-2.15736699110.1%
 
-2.11435604110.1%
 
ValueCountFrequency (%) 
4.89281988110.1%
 
4.68999481210.1%
 
4.58902597410.1%
 
4.26726102810.1%
 
4.09346485110.1%
 
4.06338977810.1%
 
3.59112691910.1%
 
3.43334603310.1%
 
3.39833688710.1%
 
3.32513904610.1%
 

V11
Real number (ℝ)

UNIQUE

Distinct count1059
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009739462412982595
Minimum-5.6895928382873535
Maximum5.912188053131104
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:19.814530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-5.689592838
5-th percentile-1.655115068
Q1-0.5348394811
median0.05620700121
Q30.5799339712
95-th percentile1.382916164
Maximum5.912188053
Range11.60178089
Interquartile range (IQR)1.114773452

Descriptive statistics

Standard deviation1.021861272
Coefficient of variation (CV)-104.9196792
Kurtosis5.110004594
Mean-0.009739462413
Median Absolute Deviation (MAD)0.5449030101
Skewness-0.2235348409
Sum-10.3140907
Variance1.04420046
2020-08-24T23:59:19.922892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.738279998310.1%
 
1.1418310410.1%
 
-1.89579796810.1%
 
-0.271120995310.1%
 
-0.645147979310.1%
 
-0.32843300710.1%
 
0.498432010410.1%
 
0.703738987410.1%
 
0.0128880003510.1%
 
-0.535767972510.1%
 
-0.204741999510.1%
 
-1.68447399110.1%
 
0.384092986610.1%
 
0.063064001510.1%
 
-1.74339795110.1%
 
0.248198002610.1%
 
0.52147698410.1%
 
0.0491009987910.1%
 
0.224270999410.1%
 
-1.78635299210.1%
 
-0.449425011910.1%
 
0.889266014110.1%
 
1.5691260110.1%
 
-0.0486209988610.1%
 
0.337262004610.1%
 
Other values (1034)103497.6%
 
ValueCountFrequency (%) 
-5.68959283810.1%
 
-5.15442609810.1%
 
-4.98661899610.1%
 
-4.72120904910.1%
 
-4.16683292410.1%
 
-3.54508410.1%
 
-3.41870093310.1%
 
-3.21941709510.1%
 
-3.16375994710.1%
 
-3.08808398210.1%
 
ValueCountFrequency (%) 
5.91218805310.1%
 
5.87496089910.1%
 
4.89783906910.1%
 
4.37283515910.1%
 
3.45188903810.1%
 
3.33076810810.1%
 
2.60891008410.1%
 
2.45611500710.1%
 
2.24318909610.1%
 
2.18583297710.1%
 

V86
Real number (ℝ)

HIGH CORRELATION

Distinct count680
Unique (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01565590216163713
Minimum-0.7507569789886475
Maximum8.999587059020996
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:20.037881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.750756979
5-th percentile-0.7072460055
Q1-0.565158993
median-0.3414900005
Q30.1609160006
95-th percentile1.993235946
Maximum8.999587059
Range9.750344038
Interquartile range (IQR)0.7260749936

Descriptive statistics

Standard deviation1.021475594
Coefficient of variation (CV)65.24539969
Kurtosis17.01048747
Mean0.01565590216
Median Absolute Deviation (MAD)0.2882549986
Skewness3.414825004
Sum16.57960039
Variance1.043412389
2020-08-24T23:59:20.136443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.677332997360.6%
 
-0.635182976760.6%
 
-0.662376999960.6%
 
-0.708606004760.6%
 
-0.661017000760.6%
 
-0.527767002650.5%
 
-0.537284970350.5%
 
-0.612067997550.5%
 
-0.659657001550.5%
 
-0.567197978550.5%
 
-0.666455984150.5%
 
-0.478817999440.4%
 
-0.516889989440.4%
 
-0.499213993540.4%
 
-0.529127001840.4%
 
-0.636542975940.4%
 
-0.711326003140.4%
 
-0.707246005540.4%
 
-0.727641999740.4%
 
-0.735800027840.4%
 
-0.688211023840.4%
 
-0.374121993840.4%
 
-0.259907990740.4%
 
-0.726282000540.4%
 
-0.463862001940.4%
 
Other values (655)94389.0%
 
ValueCountFrequency (%) 
-0.75075697910.1%
 
-0.739879012110.1%
 
-0.738519012920.2%
 
-0.735800027840.4%
 
-0.734440028710.1%
 
-0.733080983210.1%
 
-0.73172098410.1%
 
-0.729000985620.2%
 
-0.727641999740.4%
 
-0.726282000540.4%
 
ValueCountFrequency (%) 
8.99958705910.1%
 
8.19464969610.1%
 
7.34892177610.1%
 
5.84646415710.1%
 
5.73904800410.1%
 
5.48206710810.1%
 
4.79406309110.1%
 
4.65945386910.1%
 
4.62682104110.1%
 
4.58603000610.1%
 

V73
Real number (ℝ)

Distinct count1058
Unique (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.029523265911257413
Minimum-1.3112000226974487
Maximum5.0807318687438965
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:20.251636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.311200023
5-th percentile-0.9841762841
Q1-0.6242035031
median-0.2636229992
Q30.3160720021
95-th percentile2.176464915
Maximum5.080731869
Range6.391931891
Interquartile range (IQR)0.9402755052

Descriptive statistics

Standard deviation1.014314457
Coefficient of variation (CV)34.35644484
Kurtosis4.939229598
Mean0.02952326591
Median Absolute Deviation (MAD)0.4345750213
Skewness2.012679848
Sum31.2651386
Variance1.028833817
2020-08-24T23:59:20.365509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.208317995120.2%
 
0.623073995110.1%
 
-0.535821974310.1%
 
-0.298260003310.1%
 
-0.555346012110.1%
 
-0.551980972310.1%
 
5.00531196610.1%
 
-1.01401305210.1%
 
0.807308018210.1%
 
-0.367514014210.1%
 
-0.539893984810.1%
 
0.154190003910.1%
 
0.723326981110.1%
 
-0.901672005710.1%
 
4.36478090310.1%
 
-0.397650003410.1%
 
-0.126139998410.1%
 
0.250324994310.1%
 
2.79961609810.1%
 
-0.731118023410.1%
 
-0.028947999710.1%
 
-0.427078992110.1%
 
-0.190589994210.1%
 
-0.660708010210.1%
 
1.86915004310.1%
 
Other values (1033)103397.5%
 
ValueCountFrequency (%) 
-1.31120002310.1%
 
-1.28241705910.1%
 
-1.26743400110.1%
 
-1.26599800610.1%
 
-1.25621497610.1%
 
-1.22218096310.1%
 
-1.13538801710.1%
 
-1.13304400410.1%
 
-1.13044905710.1%
 
-1.12403404710.1%
 
ValueCountFrequency (%) 
5.08073186910.1%
 
5.00531196610.1%
 
4.97573614110.1%
 
4.75651407210.1%
 
4.61854219410.1%
 
4.44342899310.1%
 
4.36478090310.1%
 
4.20895910310.1%
 
4.16589212410.1%
 
4.12412214310.1%
 

V95
Real number (ℝ)

Distinct count1055
Unique (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.018174391598581415
Minimum-1.4669439792633057
Maximum5.030543804168701
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:20.484385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.466943979
5-th percentile-1.074967754
Q1-0.7116774917
median-0.2486550063
Q30.4668245018
95-th percentile2.145988965
Maximum5.030543804
Range6.497487783
Interquartile range (IQR)1.178501993

Descriptive statistics

Standard deviation1.006144714
Coefficient of variation (CV)55.36057197
Kurtosis2.034164151
Mean0.0181743916
Median Absolute Deviation (MAD)0.5150829703
Skewness1.38182981
Sum19.2466807
Variance1.012327186
2020-08-24T23:59:20.597281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0268169995420.2%
 
-0.465746998820.2%
 
-0.999185025720.2%
 
-0.844222009220.2%
 
-0.738279998310.1%
 
-0.175945997210.1%
 
-0.20893099910.1%
 
-1.07163596210.1%
 
0.528006017210.1%
 
-1.45563900510.1%
 
0.61589199310.1%
 
-0.703794002510.1%
 
0.0243740007310.1%
 
-1.21228098910.1%
 
-0.11995710.1%
 
-0.219895005210.1%
 
0.541692018510.1%
 
-0.190512999910.1%
 
0.33724099410.1%
 
-0.257176011810.1%
 
-0.227700993410.1%
 
1.85267102710.1%
 
1.85752701810.1%
 
-0.239906996510.1%
 
-1.00128698310.1%
 
Other values (1030)103097.3%
 
ValueCountFrequency (%) 
-1.46694397910.1%
 
-1.4657950410.1%
 
-1.45563900510.1%
 
-1.41690802610.1%
 
-1.41588294510.1%
 
-1.40770399610.1%
 
-1.34290504510.1%
 
-1.3259359610.1%
 
-1.30703198910.1%
 
-1.30700099510.1%
 
ValueCountFrequency (%) 
5.03054380410.1%
 
4.47573709510.1%
 
4.28833723110.1%
 
4.01434516910.1%
 
3.66499400110.1%
 
3.52698898310.1%
 
3.46109199510.1%
 
3.35143303910.1%
 
3.33429908810.1%
 
3.2165639410.1%
 

V37
Real number (ℝ)

Distinct count1057
Unique (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.013942580479005926
Minimum-3.0928781032562256
Maximum4.691177845001222
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:20.714937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.092878103
5-th percentile-1.266635537
Q1-0.6467019916
median-0.1996510029
Q30.4419170022
95-th percentile1.881997168
Maximum4.691177845
Range7.784055948
Interquartile range (IQR)1.088618994

Descriptive statistics

Standard deviation0.9978365684
Coefficient of variation (CV)-71.56756742
Kurtosis1.685105455
Mean-0.01394258048
Median Absolute Deviation (MAD)0.5125219822
Skewness0.9075303842
Sum-14.76519273
Variance0.9956778173
2020-08-24T23:59:20.819632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.343647986720.2%
 
0.616070985820.2%
 
0.450195014510.1%
 
-0.0662449970810.1%
 
2.59079003310.1%
 
-0.0818729996710.1%
 
0.958301007710.1%
 
0.911427974710.1%
 
0.461277008110.1%
 
-0.477878004310.1%
 
0.897156000110.1%
 
-0.860046029110.1%
 
-0.726742982910.1%
 
-0.813166022310.1%
 
0.027383999910.1%
 
0.275723010310.1%
 
-1.36233103310.1%
 
-0.242482006510.1%
 
1.15105402510.1%
 
0.514330983210.1%
 
-1.28647005610.1%
 
-2.59635806110.1%
 
-0.42496201410.1%
 
-0.01067110.1%
 
-0.192673996110.1%
 
Other values (1032)103297.5%
 
ValueCountFrequency (%) 
-3.09287810310.1%
 
-2.79639911710.1%
 
-2.7750039110.1%
 
-2.68448400510.1%
 
-2.59635806110.1%
 
-2.58565092110.1%
 
-2.54922294610.1%
 
-2.39097404510.1%
 
-2.22626209310.1%
 
-2.13739609710.1%
 
ValueCountFrequency (%) 
4.69117784510.1%
 
4.35229778310.1%
 
3.69786906210.1%
 
3.63757491110.1%
 
3.58803796810.1%
 
3.36625599910.1%
 
3.25455594110.1%
 
3.06943106710.1%
 
3.06007289910.1%
 
3.02390098610.1%
 

V12
Real number (ℝ)

UNIQUE

Distinct count1059
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02058421170883799
Minimum-5.088503837585449
Maximum4.1434831619262695
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:20.935283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-5.088503838
5-th percentile-1.826680195
Q1-0.4537834972
median0.05708999932
Q30.5793604851
95-th percentile1.378768504
Maximum4.143483162
Range9.231987
Interquartile range (IQR)1.033143982

Descriptive statistics

Standard deviation1.019823621
Coefficient of variation (CV)-49.5439726
Kurtosis2.734708304
Mean-0.02058421171
Median Absolute Deviation (MAD)0.5169160217
Skewness-0.7509692455
Sum-21.7986802
Variance1.040040218
2020-08-24T23:59:21.030456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.994136989110.1%
 
0.018879000110.1%
 
0.02602110.1%
 
0.969388008110.1%
 
-0.598291993110.1%
 
0.758445024510.1%
 
0.174961999110.1%
 
-0.281563013810.1%
 
-0.0540379993610.1%
 
0.4075390110.1%
 
-0.244188994210.1%
 
-0.992808997610.1%
 
0.744760990110.1%
 
-0.0492330007310.1%
 
0.501137971910.1%
 
-0.725223004810.1%
 
0.643100023310.1%
 
0.317943990210.1%
 
0.501657009110.1%
 
-0.190580993910.1%
 
0.466495990810.1%
 
-0.57241201410.1%
 
0.209784999510.1%
 
1.13400304310.1%
 
2.3691790110.1%
 
Other values (1034)103497.6%
 
ValueCountFrequency (%) 
-5.08850383810.1%
 
-4.57170820210.1%
 
-4.06202983910.1%
 
-4.04788303410.1%
 
-3.86226606410.1%
 
-3.70844101910.1%
 
-3.59088611610.1%
 
-3.58208394110.1%
 
-3.54654288310.1%
 
-3.39091491710.1%
 
ValueCountFrequency (%) 
4.14348316210.1%
 
3.58043408410.1%
 
3.50615000710.1%
 
2.77958488510.1%
 
2.71376490610.1%
 
2.65587592110.1%
 
2.59497189510.1%
 
2.51122188610.1%
 
2.50198888810.1%
 
2.3691790110.1%
 

V41
Real number (ℝ)

UNIQUE

Distinct count1059
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0025355020653659516
Minimum-3.2134010791778564
Maximum7.117362976074219
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:21.131561image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.213401079
5-th percentile-1.412593162
Q1-0.593026489
median-0.06809999794
Q30.4599980116
95-th percentile1.752557611
Maximum7.117362976
Range10.33076406
Interquartile range (IQR)1.053024501

Descriptive statistics

Standard deviation1.003286605
Coefficient of variation (CV)395.6954397
Kurtosis4.238464798
Mean0.002535502065
Median Absolute Deviation (MAD)0.5276650116
Skewness0.9341265637
Sum2.685096687
Variance1.006584011
2020-08-24T23:59:21.231311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.336914986410.1%
 
-0.142413005210.1%
 
-0.719430983110.1%
 
-0.500680029410.1%
 
-0.0400840006810.1%
 
1.41150605710.1%
 
-0.623721003510.1%
 
0.244797006210.1%
 
-0.996765971210.1%
 
1.00278997410.1%
 
0.106772996510.1%
 
-1.13805103310.1%
 
-1.21856200710.1%
 
3.38546490710.1%
 
-0.360682994110.1%
 
-1.06382203110.1%
 
-0.559252023710.1%
 
-2.08386707310.1%
 
-0.627608001210.1%
 
-0.410806000210.1%
 
0.38704499610.1%
 
0.0144450003310.1%
 
1.85026001910.1%
 
-0.80338400610.1%
 
-0.561020970310.1%
 
Other values (1034)103497.6%
 
ValueCountFrequency (%) 
-3.21340107910.1%
 
-3.18769502610.1%
 
-2.95703005810.1%
 
-2.7441880710.1%
 
-2.72772502910.1%
 
-2.72726702710.1%
 
-2.58007311810.1%
 
-2.48770809210.1%
 
-2.39327406910.1%
 
-2.37551093110.1%
 
ValueCountFrequency (%) 
7.11736297610.1%
 
5.05158090610.1%
 
4.67982292210.1%
 
4.43019199410.1%
 
3.76824593510.1%
 
3.64064407310.1%
 
3.38546490710.1%
 
3.37446498910.1%
 
3.3055920610.1%
 
3.30169200910.1%
 

V27
Real number (ℝ)

HIGH CORRELATION

Distinct count746
Unique (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01803990291698455
Minimum-0.7623850107192993
Maximum8.724732398986816
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:21.340821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.7623850107
5-th percentile-0.7326290011
Q1-0.6012910008
median-0.3375889957
Q30.1851979941
95-th percentile1.962160003
Maximum8.724732399
Range9.48711741
Interquartile range (IQR)0.786488995

Descriptive statistics

Standard deviation1.023286826
Coefficient of variation (CV)56.7235218
Kurtosis12.44366573
Mean0.01803990292
Median Absolute Deviation (MAD)0.3139789999
Skewness2.937724857
Sum19.10425719
Variance1.047115929
2020-08-24T23:59:21.440179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.653621017960.6%
 
-0.721342027250.5%
 
-0.625917017550.5%
 
-0.744942009450.5%
 
-0.587952017850.5%
 
-0.717236995740.4%
 
-0.703898012640.4%
 
-0.710054993640.4%
 
-0.704925000740.4%
 
-0.100565001440.4%
 
-0.752124011540.4%
 
-0.72442001140.4%
 
-0.612577021140.4%
 
-0.713132977540.4%
 
-0.611550986840.4%
 
-0.700820028840.4%
 
-0.582821011540.4%
 
-0.574612975140.4%
 
-0.705950975440.4%
 
-0.257555007940.4%
 
-0.453534990540.4%
 
-0.535622000730.3%
 
-0.559221029330.3%
 
-0.671064019230.3%
 
-0.718263983730.3%
 
Other values (721)95790.4%
 
ValueCountFrequency (%) 
-0.762385010710.1%
 
-0.759307026920.2%
 
-0.758280992510.1%
 
-0.757254004510.1%
 
-0.756228029710.1%
 
-0.755201995410.1%
 
-0.754176020620.2%
 
-0.753149986320.2%
 
-0.752124011540.4%
 
-0.751097977210.1%
 
ValueCountFrequency (%) 
8.72473239910.1%
 
7.38467407210.1%
 
5.38279581110.1%
 
5.33867406810.1%
 
5.13038110710.1%
 
4.73841905610.1%
 
4.69635009810.1%
 
4.69019317610.1%
 
4.5906639110.1%
 
4.58963823310.1%
 

V96
Real number (ℝ)

Distinct count1057
Unique (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02482892865138313
Minimum-1.6651149988174438
Maximum4.751889228820801
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:21.553015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.665114999
5-th percentile-1.175657141
Q1-0.7271099985
median-0.2265499979
Q30.5545400083
95-th percentile2.09596324
Maximum4.751889229
Range6.417004228
Interquartile range (IQR)1.281650007

Descriptive statistics

Standard deviation1.018135833
Coefficient of variation (CV)41.00603162
Kurtosis1.661990568
Mean0.02482892865
Median Absolute Deviation (MAD)0.5972440094
Skewness1.231170364
Sum26.29383544
Variance1.036600575
2020-08-24T23:59:21.660458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.916270971320.2%
 
-0.622560977920.2%
 
-0.807339012610.1%
 
-0.363801002510.1%
 
-0.323590010410.1%
 
1.60685896910.1%
 
-1.13418805610.1%
 
-1.05215299110.1%
 
-0.437835991410.1%
 
-1.30847001110.1%
 
-1.11574602110.1%
 
0.481786996110.1%
 
0.366400003410.1%
 
-1.23733401310.1%
 
0.188158005510.1%
 
-0.0738900005810.1%
 
2.69801306710.1%
 
1.1536840210.1%
 
0.0169890001410.1%
 
-0.177413001710.1%
 
-0.947933018210.1%
 
-0.858087003210.1%
 
-0.347010999910.1%
 
-0.840505003910.1%
 
-0.589114010310.1%
 
Other values (1032)103297.5%
 
ValueCountFrequency (%) 
-1.66511499910.1%
 
-1.60318696510.1%
 
-1.5455000410.1%
 
-1.47541105710.1%
 
-1.40972399710.1%
 
-1.4057509910.1%
 
-1.4024900210.1%
 
-1.39258503910.1%
 
-1.37116301110.1%
 
-1.3637139810.1%
 
ValueCountFrequency (%) 
4.75188922910.1%
 
4.75160694110.1%
 
4.1591401110.1%
 
4.12892818510.1%
 
3.59381294310.1%
 
3.49564610.1%
 
3.31200790410.1%
 
3.28117799810.1%
 
3.24892592410.1%
 
3.12933707210.1%
 

V106
Real number (ℝ)

HIGH CORRELATION

Distinct count621
Unique (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013183083335321125
Minimum-0.8502110242843628
Maximum8.222785949707031
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:21.774005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.8502110243
5-th percentile-0.7787380219
Q1-0.6072030067
median-0.3274370134
Q30.2320950031
95-th percentile1.887616575
Maximum8.22278595
Range9.072996974
Interquartile range (IQR)0.8392980099

Descriptive statistics

Standard deviation1.016813952
Coefficient of variation (CV)77.13020743
Kurtosis13.07515431
Mean0.01318308334
Median Absolute Deviation (MAD)0.3430710137
Skewness2.995527985
Sum13.96088525
Variance1.033910613
2020-08-24T23:59:21.884362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.258006006560.6%
 
-0.505098998560.6%
 
-0.541855990960.6%
 
-0.45404601160.6%
 
-0.772611975760.6%
 
-0.45813000260.6%
 
-0.662338972160.6%
 
-0.405036002450.5%
 
-0.660296976650.5%
 
-0.709307014950.5%
 
-0.19878500750.5%
 
-0.552066981850.5%
 
-0.735854029750.5%
 
-0.74402302550.5%
 
-0.623539984250.5%
 
-0.364194005750.5%
 
-0.723601996940.4%
 
-0.6541709940.4%
 
-0.81753802340.4%
 
-0.782823026240.4%
 
-0.490803986840.4%
 
-0.466298997440.4%
 
-0.692970991140.4%
 
-0.670508027140.4%
 
-0.613328993340.4%
 
Other values (596)93688.4%
 
ValueCountFrequency (%) 
-0.850211024310.1%
 
-0.827748000620.2%
 
-0.825706005120.2%
 
-0.823664009640.4%
 
-0.82162201410.1%
 
-0.819580018520.2%
 
-0.81753802340.4%
 
-0.815496027510.1%
 
-0.813453972310.1%
 
-0.811411976810.1%
 
ValueCountFrequency (%) 
8.2227859510.1%
 
7.93893623410.1%
 
5.83558511710.1%
 
5.67630195610.1%
 
5.01875019110.1%
 
4.97586584110.1%
 
4.93706607810.1%
 
4.7185630810.1%
 
4.71039485910.1%
 
4.57153320310.1%
 

V19
Real number (ℝ)

HIGH CORRELATION

Distinct count746
Unique (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01803990291698455
Minimum-0.7623850107192993
Maximum8.724732398986816
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:21.991602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.7623850107
5-th percentile-0.7326290011
Q1-0.6012910008
median-0.3375889957
Q30.1851979941
95-th percentile1.962160003
Maximum8.724732399
Range9.48711741
Interquartile range (IQR)0.786488995

Descriptive statistics

Standard deviation1.023286826
Coefficient of variation (CV)56.7235218
Kurtosis12.44366573
Mean0.01803990292
Median Absolute Deviation (MAD)0.3139789999
Skewness2.937724857
Sum19.10425719
Variance1.047115929
2020-08-24T23:59:22.090690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.653621017960.6%
 
-0.721342027250.5%
 
-0.625917017550.5%
 
-0.744942009450.5%
 
-0.587952017850.5%
 
-0.717236995740.4%
 
-0.703898012640.4%
 
-0.710054993640.4%
 
-0.704925000740.4%
 
-0.100565001440.4%
 
-0.752124011540.4%
 
-0.72442001140.4%
 
-0.612577021140.4%
 
-0.713132977540.4%
 
-0.611550986840.4%
 
-0.700820028840.4%
 
-0.582821011540.4%
 
-0.574612975140.4%
 
-0.705950975440.4%
 
-0.257555007940.4%
 
-0.453534990540.4%
 
-0.535622000730.3%
 
-0.559221029330.3%
 
-0.671064019230.3%
 
-0.718263983730.3%
 
Other values (721)95790.4%
 
ValueCountFrequency (%) 
-0.762385010710.1%
 
-0.759307026920.2%
 
-0.758280992510.1%
 
-0.757254004510.1%
 
-0.756228029710.1%
 
-0.755201995410.1%
 
-0.754176020620.2%
 
-0.753149986320.2%
 
-0.752124011540.4%
 
-0.751097977210.1%
 
ValueCountFrequency (%) 
8.72473239910.1%
 
7.38467407210.1%
 
5.38279581110.1%
 
5.33867406810.1%
 
5.13038110710.1%
 
4.73841905610.1%
 
4.69635009810.1%
 
4.69019317610.1%
 
4.5906639110.1%
 
4.58963823310.1%
 

V1
Real number (ℝ)

Distinct count1054
Unique (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.019311984754945798
Minimum-1.5294630527496338
Maximum9.439498901367188
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:22.356087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.529463053
5-th percentile-1.106002748
Q1-0.6076164842
median-0.1841350049
Q30.3121550083
95-th percentile1.616744351
Maximum9.439498901
Range10.96896195
Interquartile range (IQR)0.9197714925

Descriptive statistics

Standard deviation0.9879107256
Coefficient of variation (CV)-51.15531822
Kurtosis20.43532508
Mean-0.01931198475
Median Absolute Deviation (MAD)0.4572959989
Skewness3.210038747
Sum-20.45139186
Variance0.9759676018
2020-08-24T23:59:22.452893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.189526006620.2%
 
-0.387115001720.2%
 
-0.491118997320.2%
 
-0.084250003120.2%
 
-0.779810011420.2%
 
1.12109303510.1%
 
0.441069990410.1%
 
-0.442721009310.1%
 
1.73269903710.1%
 
-0.77411699310.1%
 
-0.407862007610.1%
 
-0.294286996110.1%
 
-0.549512028710.1%
 
-1.09121596810.1%
 
0.826858997310.1%
 
-0.740922987510.1%
 
-1.46622395510.1%
 
0.534564018210.1%
 
-0.551450014110.1%
 
-0.400925993910.1%
 
-0.719419002510.1%
 
-0.394414007710.1%
 
0.057278998210.1%
 
-1.50014495810.1%
 
0.0116069996710.1%
 
Other values (1029)102997.2%
 
ValueCountFrequency (%) 
-1.52946305310.1%
 
-1.50014495810.1%
 
-1.48418402710.1%
 
-1.46622395510.1%
 
-1.43157601410.1%
 
-1.42394399610.1%
 
-1.36488604510.1%
 
-1.36415898810.1%
 
-1.36288702510.1%
 
-1.3243620410.1%
 
ValueCountFrequency (%) 
9.43949890110.1%
 
8.58717632310.1%
 
7.16128587710.1%
 
6.73894119310.1%
 
6.08023881910.1%
 
5.64644479810.1%
 
4.70156621910.1%
 
4.12899923310.1%
 
3.82795095410.1%
 
3.77564597110.1%
 

V63
Real number (ℝ)

UNIQUE

Distinct count1059
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00800915089130766
Minimum-1.8942830562591555
Maximum4.0099968910217285
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:22.561351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.894283056
5-th percentile-1.361835301
Q1-0.7108399868
median-0.161303997
Q30.4940354973
95-th percentile2.014288425
Maximum4.009996891
Range5.904279947
Interquartile range (IQR)1.204875484

Descriptive statistics

Standard deviation1.001176008
Coefficient of variation (CV)-125.0040137
Kurtosis1.093716574
Mean-0.008009150891
Median Absolute Deviation (MAD)0.5970579982
Skewness0.9690830734
Sum-8.481690794
Variance1.002353398
2020-08-24T23:59:22.672441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.607420980910.1%
 
-0.381175994910.1%
 
-1.14039897910.1%
 
0.514330029510.1%
 
-1.14975297510.1%
 
-0.205240994710.1%
 
-0.961587011810.1%
 
0.273761987710.1%
 
-0.373371005110.1%
 
-1.61545705810.1%
 
0.945954978510.1%
 
0.805962026110.1%
 
-0.0987929999810.1%
 
-1.20095205310.1%
 
-0.167151004110.1%
 
2.34358000810.1%
 
0.100665003110.1%
 
-0.361488997910.1%
 
1.14969599210.1%
 
-1.06659805810.1%
 
-1.19655895210.1%
 
1.95827305310.1%
 
-1.14186501510.1%
 
1.41914796810.1%
 
1.94263994710.1%
 
Other values (1034)103497.6%
 
ValueCountFrequency (%) 
-1.89428305610.1%
 
-1.87405705510.1%
 
-1.82831299310.1%
 
-1.77009904410.1%
 
-1.76930403710.1%
 
-1.76380503210.1%
 
-1.74231803410.1%
 
-1.7274700410.1%
 
-1.68630610.1%
 
-1.66915202110.1%
 
ValueCountFrequency (%) 
4.00999689110.1%
 
3.73808193210.1%
 
3.51712894410.1%
 
3.51647090910.1%
 
3.50021910710.1%
 
3.48119807210.1%
 
3.45309805910.1%
 
3.25495791410.1%
 
3.06148290610.1%
 
2.99211597410.1%
 

V114
Real number (ℝ)

HIGH CORRELATION

Distinct count621
Unique (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013183083335321125
Minimum-0.8502110242843628
Maximum8.222785949707031
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:22.783288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.8502110243
5-th percentile-0.7787380219
Q1-0.6072030067
median-0.3274370134
Q30.2320950031
95-th percentile1.887616575
Maximum8.22278595
Range9.072996974
Interquartile range (IQR)0.8392980099

Descriptive statistics

Standard deviation1.016813952
Coefficient of variation (CV)77.13020743
Kurtosis13.07515431
Mean0.01318308334
Median Absolute Deviation (MAD)0.3430710137
Skewness2.995527985
Sum13.96088525
Variance1.033910613
2020-08-24T23:59:22.900703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.258006006560.6%
 
-0.505098998560.6%
 
-0.541855990960.6%
 
-0.45404601160.6%
 
-0.772611975760.6%
 
-0.45813000260.6%
 
-0.662338972160.6%
 
-0.405036002450.5%
 
-0.660296976650.5%
 
-0.709307014950.5%
 
-0.19878500750.5%
 
-0.552066981850.5%
 
-0.735854029750.5%
 
-0.74402302550.5%
 
-0.623539984250.5%
 
-0.364194005750.5%
 
-0.723601996940.4%
 
-0.6541709940.4%
 
-0.81753802340.4%
 
-0.782823026240.4%
 
-0.490803986840.4%
 
-0.466298997440.4%
 
-0.692970991140.4%
 
-0.670508027140.4%
 
-0.613328993340.4%
 
Other values (596)93688.4%
 
ValueCountFrequency (%) 
-0.850211024310.1%
 
-0.827748000620.2%
 
-0.825706005120.2%
 
-0.823664009640.4%
 
-0.82162201410.1%
 
-0.819580018520.2%
 
-0.81753802340.4%
 
-0.815496027510.1%
 
-0.813453972310.1%
 
-0.811411976810.1%
 
ValueCountFrequency (%) 
8.2227859510.1%
 
7.93893623410.1%
 
5.83558511710.1%
 
5.67630195610.1%
 
5.01875019110.1%
 
4.97586584110.1%
 
4.93706607810.1%
 
4.7185630810.1%
 
4.71039485910.1%
 
4.57153320310.1%
 

V77
Real number (ℝ)

HIGH CORRELATION

Distinct count680
Unique (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01565590216163713
Minimum-0.7507569789886475
Maximum8.999587059020996
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:23.007481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.750756979
5-th percentile-0.7072460055
Q1-0.565158993
median-0.3414900005
Q30.1609160006
95-th percentile1.993235946
Maximum8.999587059
Range9.750344038
Interquartile range (IQR)0.7260749936

Descriptive statistics

Standard deviation1.021475594
Coefficient of variation (CV)65.24539969
Kurtosis17.01048747
Mean0.01565590216
Median Absolute Deviation (MAD)0.2882549986
Skewness3.414825004
Sum16.57960039
Variance1.043412389
2020-08-24T23:59:23.109195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.677332997360.6%
 
-0.635182976760.6%
 
-0.662376999960.6%
 
-0.708606004760.6%
 
-0.661017000760.6%
 
-0.527767002650.5%
 
-0.537284970350.5%
 
-0.612067997550.5%
 
-0.659657001550.5%
 
-0.567197978550.5%
 
-0.666455984150.5%
 
-0.478817999440.4%
 
-0.516889989440.4%
 
-0.499213993540.4%
 
-0.529127001840.4%
 
-0.636542975940.4%
 
-0.711326003140.4%
 
-0.707246005540.4%
 
-0.727641999740.4%
 
-0.735800027840.4%
 
-0.688211023840.4%
 
-0.374121993840.4%
 
-0.259907990740.4%
 
-0.726282000540.4%
 
-0.463862001940.4%
 
Other values (655)94389.0%
 
ValueCountFrequency (%) 
-0.75075697910.1%
 
-0.739879012110.1%
 
-0.738519012920.2%
 
-0.735800027840.4%
 
-0.734440028710.1%
 
-0.733080983210.1%
 
-0.73172098410.1%
 
-0.729000985620.2%
 
-0.727641999740.4%
 
-0.726282000540.4%
 
ValueCountFrequency (%) 
8.99958705910.1%
 
8.19464969610.1%
 
7.34892177610.1%
 
5.84646415710.1%
 
5.73904800410.1%
 
5.48206710810.1%
 
4.79406309110.1%
 
4.65945386910.1%
 
4.62682104110.1%
 
4.58603000610.1%
 

target
Real number (ℝ)

Distinct count1057
Unique (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02106494249873871
Minimum-1.505952000617981
Maximum5.854702949523926
Zeros0
Zeros (%)0.0%
Memory size8.4 KiB
2020-08-24T23:59:23.223893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.505952001
5-th percentile-1.162360716
Q1-0.6601344943
median-0.1911929995
Q30.4760270119
95-th percentile1.948091233
Maximum5.85470295
Range7.36065495
Interquartile range (IQR)1.136161506

Descriptive statistics

Standard deviation1.000415716
Coefficient of variation (CV)47.49197468
Kurtosis4.92637
Mean0.0210649425
Median Absolute Deviation (MAD)0.531760022
Skewness1.704813065
Sum22.30777411
Variance1.000831604
2020-08-24T23:59:23.342637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.209503993420.2%
 
-0.659703016320.2%
 
-0.992179989810.1%
 
0.0740529969310.1%
 
-0.397769004110.1%
 
-0.822797000410.1%
 
9.10000017e-0510.1%
 
-0.92249900110.1%
 
1.21218800510.1%
 
-0.113848000810.1%
 
-0.227010995110.1%
 
1.14969503910.1%
 
1.52079296110.1%
 
0.500630974810.1%
 
1.01523101310.1%
 
-0.00447200005910.1%
 
0.802541017510.1%
 
0.385071992910.1%
 
-0.135413005910.1%
 
-1.28269100210.1%
 
1.74731302310.1%
 
0.64709299810.1%
 
-0.650999009610.1%
 
-0.36004799610.1%
 
-0.291317999410.1%
 
Other values (1032)103297.5%
 
ValueCountFrequency (%) 
-1.50595200110.1%
 
-1.50144195610.1%
 
-1.47418594410.1%
 
-1.45723700510.1%
 
-1.42222905210.1%
 
-1.41884696510.1%
 
-1.40841603310.1%
 
-1.40596699710.1%
 
-1.38699197810.1%
 
-1.37742602810.1%
 
ValueCountFrequency (%) 
5.8547029510.1%
 
5.76590585710.1%
 
5.68609523810.1%
 
5.40257883110.1%
 
4.80598211310.1%
 
4.32707786610.1%
 
3.95326709710.1%
 
3.91926288610.1%
 
3.69998407410.1%
 
3.65912699710.1%
 

Interactions

2020-08-24T23:58:21.642271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:21.793109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:21.936470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:22.233706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:22.381925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:22.534702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:22.672680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:22.815862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:22.962734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.116908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.256269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.394770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.538465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.682107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.819471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:23.965019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.105994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.250096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.386544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.526955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.676538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.816126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:24.947716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.079082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.216040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.350075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.478895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.613144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.747818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:25.888844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.017859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.146222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.440278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.576941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.704344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.832441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:26.965267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.100137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.228365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.355481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.498827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.636594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.768109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:27.898171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.038459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.172583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.301648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.437035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.583494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.726520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.853786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:28.984261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.115578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.249979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.376070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.509183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.644082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.781204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:29.918113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:30.047907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:30.187475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:30.511323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:30.654081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:30.801367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:30.950976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.095740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.235223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.378918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.524703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.675567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.816707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:31.953694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.092358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.236119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.373233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.513266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.654378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.799843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:32.946673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.089571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.236615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.377655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.516052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.660625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.803257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:33.943347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:34.077343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:34.218354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:34.358932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:34.674408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:34.809843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:34.941830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.077852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.216585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.348387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.482027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.625446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.765933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:35.896752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.029164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.173168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.306410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.435281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.575452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.707159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.834713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:36.956469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.087934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.215806image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.354059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.476750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.607713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.729516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.863201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:37.987551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:38.109103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:38.233761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:38.362506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:38.482634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:38.779842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:38.912593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.055951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.196973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.332563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.476682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.620891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.753800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:39.893653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.032531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.180240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.311938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.444407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.575461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.715927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.849705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:40.982556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.119716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.258702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.390152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.521329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.663927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.804858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:41.937605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:42.073617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:42.219627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:42.358387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:42.492583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:42.637192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:42.944996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.089578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.221056image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.353293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.487516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.625785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.758424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:43.894478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.029087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.169138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.302444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.434987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.581309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.737641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:44.881316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.024269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.174694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.323729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.468800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.620125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.767829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:45.920314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:46.058851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:46.198674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:46.342210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:46.497344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:46.640902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:46.785658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.088029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.236264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.377611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.521886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.676152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.809023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:47.934231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.062386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.195164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.326698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.448475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.591262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.720545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.857363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:48.978404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.099598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.221431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.352412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.474542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.598084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.722165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.851509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:49.973566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.094798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.229102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.362924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.488040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.613665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.745330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:50.874259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.156571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.288715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.422719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.558844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.679904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.800315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:51.922258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.055877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.183069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.308708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.437937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.566368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.690262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.815985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:52.950315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.086102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.210460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.335029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.469309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.616985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.745705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:53.876463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.004771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.141059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.261151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.383050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.504159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.639552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.760787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:54.883007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.163243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.290587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.411580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.539727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.670572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.810225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:55.945793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.078707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.220788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.358624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.493001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.642032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.823894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:56.996494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.126111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.254829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.387146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.524824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.656238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.787011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:57.922085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.057143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.187536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.317456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.458651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.596876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.720904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.844760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:58.979062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:59.289675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:59.411463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:59.541939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:59.671491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:59.810870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:58:59.932887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.054912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.176605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.308112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.429031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.550568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.675362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.803112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:00.923958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.046346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.180745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.312140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.440055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.573013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.704914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.833031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:01.955363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.084545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.212897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.348626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.470129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.592500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.715572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.854363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:02.975440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:03.258338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:03.381443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:03.517521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:03.641447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:03.762825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:03.895222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.036276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.168831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.298283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.435168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.570007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.696844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.832425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:04.965678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.108075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.238473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.369876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.497106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.635025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.762997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:05.888693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.018275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.151971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.277643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.403780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.541160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.683868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.819394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:06.954614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:07.258556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:07.395900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:07.527354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:07.669039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:07.806979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:07.952782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.087340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.219578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.349615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.489019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.625217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.758631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:08.895535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.044751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.183121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.316159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.465235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.598161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.727201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.854231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:09.988592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.119598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.245580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.375250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.512883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.664394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.787732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:10.910165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.042849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.341694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.463566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.585238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.712187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.842547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:11.965864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.087587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.230444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.361041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.489838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.616337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.750603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:12.884771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.006396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.135512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.267361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.402861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.524967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.647771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.770371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:13.903183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.024646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.145206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.271713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.400997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.527486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.650222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.790409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:14.937670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:15.079085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:15.385971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:15.537593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:15.681489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:15.820500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:15.963269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.107122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.261380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.408895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.547283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.685225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.837729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:16.977016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:17.115828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:17.265101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:17.422965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:17.566080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:17.709930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-24T23:59:23.506073image/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.
2020-08-24T23:59:23.809779image/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.
2020-08-24T23:59:24.112573image/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.
2020-08-24T23:59:24.417529image/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

2020-08-24T23:59:18.017538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:59:18.507456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

V45V5V54V43V11V86V73V95V37V12V41V27V96V106V19V1V63V114V77target
0-0.571314-1.499546-0.490323-0.734508-0.105672-0.606629-0.072197-0.9445840.2667731.728885-1.288109-0.678246-0.043610-0.364194-0.6782467.1612862.048282-0.364194-0.606629-0.174878
10.5868470.8740361.4755930.4685880.0291050.859117-0.038171-0.082645-0.0882760.4072970.0746171.299006-0.9479330.9366161.2990060.225763-0.2219670.9366160.859117-0.157189
21.743709-0.907214-0.1667980.614040-0.9038930.0664181.060355-0.797954-0.301218-0.7913930.870098-0.363241-0.5561090.603755-0.363241-0.692525-0.3512970.6037550.0664182.718442
3-0.058874-0.0113930.6520760.2929940.0246250.7122711.193691-0.805626-0.7331870.429205-0.5196580.5171340.1666160.1871690.517134-0.7355620.1902600.1871690.712271-1.020687
40.7694461.0493310.8997500.682731-0.2877462.4594740.317070-0.180181-0.6715571.824638-0.4838201.266171-0.5007851.6207151.2661710.570272-0.1866121.6207152.459474-0.190488
5-0.685688-0.2703530.994176-0.0740750.2414931.994459-0.4546031.4046660.854111-0.258381-0.0941550.6772021.4288182.1761630.6772020.0592170.2849402.1761631.9944590.060328
6-0.401309-0.196670-0.142031-0.308099-1.786353-0.482897-0.8271310.0363210.542038-1.6818663.124184-0.2883371.340570-0.447920-0.288337-0.280628-0.264429-0.447920-0.4828971.101685
7-0.7076710.2596080.204714-0.3556731.030814-0.019243-0.4746670.398013-0.0747720.0666380.1067730.055399-0.2975780.2096320.055399-0.5038400.6708350.209632-0.019243-0.136452
8-0.4650540.160657-0.541406-0.343827-1.521909-0.635183-0.771981-0.976285-1.2320461.397751-0.797222-0.559221-1.041671-0.703181-0.5592210.358054-0.465549-0.703181-0.635183-1.043855
9-0.9148410.247513-0.256580-0.8445690.341688-0.085868-0.514969-0.048418-0.585612-0.428769-0.750312-0.2072770.033324-0.198785-0.207277-0.9057720.871609-0.198785-0.085868-0.937458

Last rows

V45V5V54V43V11V86V73V95V37V12V41V27V96V106V19V1V63V114V77target
1049-0.661975-0.723631-0.4686511.709727-0.569101-0.2367930.318841-0.413444-0.311407-0.238590-0.360406-0.3642671.141376-0.270258-0.364267-1.107692-0.467377-0.270258-0.2367932.083491
10500.900312-0.6589100.3858260.5926970.7506150.587179-0.1411982.8461862.768287-0.8349320.2665790.3088401.6317430.5465770.308840-0.4604691.5354030.5465770.5871791.212188
1051-0.075181-0.010677-0.2380040.377386-0.236784-0.0545950.8850641.8722900.916530-3.7084410.010690-0.1754681.582431-0.239627-0.175468-0.343200-0.424225-0.239627-0.054595-0.101286
1052-0.3111480.2937560.1783980.3737111.1262860.161596-0.0689581.2580681.528072-4.0478830.8531290.1939202.754264-0.0823860.193920-0.256823-0.186880-0.0823860.161596-0.445762
1053-0.177948-0.279755-0.7766960.3224170.359880-0.709966-0.926943-1.069265-0.6239580.624364-0.192079-0.719290-0.192848-0.784865-0.719290-0.1081160.028088-0.784865-0.709966-0.853647
10542.9214980.304586-0.4144721.114849-0.594327-0.2381531.869150-0.4069320.144317-0.3995611.441760-0.4176230.425577-0.415247-0.4176230.399577-0.203477-0.415247-0.2381531.526307
10551.085476-1.311906-0.820039-0.827385-0.766201-0.7330811.067250-0.467663-0.640306-0.681298-0.429340-0.7480200.723125-0.817538-0.7480201.6403861.261700-0.817538-0.7330810.182107
1056-1.3871800.277346-0.5011590.5915960.247850-0.548163-0.784084-0.413309-0.7247290.636144-0.231504-0.436092-0.287753-0.515309-0.436092-0.772360-0.993363-0.515309-0.548163-0.804297
1057-1.057314-1.102654-0.258128-1.024367-1.0837110.165675-0.4304404.2883371.070742-0.178807-0.254779-0.2626851.5654930.074855-0.262685-0.9969650.4493770.0748550.1656751.240377
10582.8346090.3324774.3424251.059004-2.0916744.7940634.1241220.5082000.5072840.8811713.7682463.8529144.1591405.8355853.852914-0.150911-0.3881695.8355854.7940630.960420