Overview

Dataset statistics

Number of variables17
Number of observations22784
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory3.0 MiB
Average record size in memory136.0 B

Variable types

NUM17

Reproduction

Analysis started2020-08-25 00:07:29.178701
Analysis finished2020-08-25 00:08:16.355286
Duration47.18 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 1 (< 0.1%) duplicate rows Duplicates
H8p2 is highly correlated with P6p2High correlation
P6p2 is highly correlated with H8p2High correlation
P1 is highly skewed (γ1 = 72.74990425) Skewed
P6p2 has 7396 (32.5%) zeros Zeros
P15p3 has 12845 (56.4%) zeros Zeros
P18p2 has 7465 (32.8%) zeros Zeros
P27p4 has 1646 (7.2%) zeros Zeros
H8p2 has 9203 (40.4%) zeros Zeros
H18pA has 1690 (7.4%) zeros Zeros
H40p4 has 4159 (18.3%) zeros Zeros

Variables

P1
Real number (ℝ≥0)

SKEWED

Distinct count8832
Unique (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7808.669197682584
Minimum2.0
Maximum7322564.0
Zeros0
Zeros (%)0.0%
Memory size178.1 KiB
2020-08-25T00:08:16.403623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile105.15
Q1427
median1345.5
Q34518.25
95-th percentile27355.5
Maximum7322564
Range7322562
Interquartile range (IQR)4091.25

Descriptive statistics

Standard deviation65872.42358
Coefficient of variation (CV)8.435806654
Kurtosis7201.555806
Mean7808.669198
Median Absolute Deviation (MAD)1124.5
Skewness72.74990425
Sum177912719
Variance4339176188
2020-08-25T00:08:16.521769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
257280.1%
 
148260.1%
 
170250.1%
 
88240.1%
 
160240.1%
 
132240.1%
 
192240.1%
 
201240.1%
 
161240.1%
 
211240.1%
 
171240.1%
 
103230.1%
 
277230.1%
 
106230.1%
 
167230.1%
 
135230.1%
 
69220.1%
 
177220.1%
 
261220.1%
 
128220.1%
 
250220.1%
 
388220.1%
 
152220.1%
 
252210.1%
 
181210.1%
 
Other values (8807)2220297.4%
 
ValueCountFrequency (%) 
21< 0.1%
 
43< 0.1%
 
52< 0.1%
 
61< 0.1%
 
77< 0.1%
 
86< 0.1%
 
95< 0.1%
 
105< 0.1%
 
116< 0.1%
 
125< 0.1%
 
ValueCountFrequency (%) 
73225641< 0.1%
 
34853981< 0.1%
 
27837261< 0.1%
 
16305531< 0.1%
 
15855771< 0.1%
 
11105491< 0.1%
 
10279741< 0.1%
 
10068771< 0.1%
 
9834031< 0.1%
 
9359331< 0.1%
 

P5p1
Real number (ℝ≥0)

Distinct count17504
Unique (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4822970738096864
Minimum0.125
Maximum0.9230769276618958
Zeros0
Zeros (%)0.0%
Memory size178.1 KiB
2020-08-25T00:08:16.646060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.125
5-th percentile0.4412661374
Q10.4646464884
median0.4803964496
Q30.496039778
95-th percentile0.5277843267
Maximum0.9230769277
Range0.7980769277
Interquartile range (IQR)0.03139328957

Descriptive statistics

Standard deviation0.03187648397
Coefficient of variation (CV)0.06609304866
Kurtosis18.88334107
Mean0.4822970738
Median Absolute Deviation (MAD)0.01569356024
Skewness2.129056379
Sum10988.65653
Variance0.00101611023
2020-08-25T00:08:16.764323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.52691.2%
 
0.4615384936430.2%
 
0.4545454979390.2%
 
0.4705882072290.1%
 
0.4666666985290.1%
 
0.4736841917290.1%
 
0.4761905074280.1%
 
0.4444443882280.1%
 
0.4782609046270.1%
 
0.5384615064260.1%
 
0.4799999893260.1%
 
0.4827586114250.1%
 
0.4864864945240.1%
 
0.4814814925240.1%
 
0.4848484993210.1%
 
0.5454545021200.1%
 
0.5263158083190.1%
 
0.4878048897170.1%
 
0.4893617034170.1%
 
0.5217391253170.1%
 
0.4745762944160.1%
 
0.4927535951160.1%
 
0.571428597160.1%
 
0.4791666865160.1%
 
0.5116279125160.1%
 
Other values (17479)2194796.3%
 
ValueCountFrequency (%) 
0.1251< 0.1%
 
0.23289670051< 0.1%
 
0.28571429851< 0.1%
 
0.30000001191< 0.1%
 
0.30434781311< 0.1%
 
0.31251< 0.1%
 
0.31578949091< 0.1%
 
0.3214285971< 0.1%
 
0.32172280551< 0.1%
 
0.32432430981< 0.1%
 
ValueCountFrequency (%) 
0.92307692771< 0.1%
 
0.89570492511< 0.1%
 
0.85954380041< 0.1%
 
0.85538458821< 0.1%
 
0.84374177461< 0.1%
 
0.84019982811< 0.1%
 
0.83951610331< 0.1%
 
0.82028847931< 0.1%
 
0.8106343151< 0.1%
 
0.80772447591< 0.1%
 

P6p2
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count13683
Unique (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06398179686538481
Minimum0.0
Maximum1.0
Zeros7396
Zeros (%)32.5%
Memory size178.1 KiB
2020-08-25T00:08:16.897606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003412999911
Q30.03337647673
95-th percentile0.4076047897
Maximum1
Range1
Interquartile range (IQR)0.03337647673

Descriptive statistics

Standard deviation0.1509207313
Coefficient of variation (CV)2.358807329
Kurtosis12.17111977
Mean0.06398179687
Median Absolute Deviation (MAD)0.003412999911
Skewness3.341307395
Sum1457.76126
Variance0.02277706715
2020-08-25T00:08:17.003223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0739632.5%
 
0.0058824000888< 0.1%
 
0.01492539987< 0.1%
 
0.0025772999517< 0.1%
 
0.0024937998977< 0.1%
 
0.0055865999317< 0.1%
 
0.0072992998187< 0.1%
 
0.0017762000216< 0.1%
 
0.0057803001256< 0.1%
 
0.0039526000626< 0.1%
 
0.0036363999826< 0.1%
 
0.0022026000086< 0.1%
 
0.0065358998256< 0.1%
 
0.0013227999446< 0.1%
 
0.0037452999976< 0.1%
 
0.0055555999286< 0.1%
 
0.018181800846< 0.1%
 
0.0058479998266< 0.1%
 
0.0067114001146< 0.1%
 
0.0021142000336< 0.1%
 
0.0057143000896< 0.1%
 
0.0037879000886< 0.1%
 
0.0024999999446< 0.1%
 
0.0022271999626< 0.1%
 
0.0032468000435< 0.1%
 
Other values (13658)1523866.9%
 
ValueCountFrequency (%) 
0739632.5%
 
8.869999874e-051< 0.1%
 
0.00011290000111< 0.1%
 
0.00011490000181< 0.1%
 
0.0001236999961< 0.1%
 
0.00014099999681< 0.1%
 
0.00015249999711< 0.1%
 
0.0001721< 0.1%
 
0.00017250000381< 0.1%
 
0.00017339999611< 0.1%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.99888020751< 0.1%
 
0.9981343151< 0.1%
 
0.99808430671< 0.1%
 
0.99683541061< 0.1%
 
0.99610757831< 0.1%
 
0.99609380961< 0.1%
 
0.9959496261< 0.1%
 
0.99550360441< 0.1%
 
0.99431818721< 0.1%
 

P11p4
Real number (ℝ≥0)

Distinct count19220
Unique (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16390027116572742
Minimum0.0
Maximum0.9172546267509459
Zeros52
Zeros (%)0.2%
Memory size178.1 KiB
2020-08-25T00:08:17.129572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05307673067
Q10.1120690033
median0.1554845497
Q30.203595981
95-th percentile0.2995924905
Maximum0.9172546268
Range0.9172546268
Interquartile range (IQR)0.09152697772

Descriptive statistics

Standard deviation0.08046110529
Coefficient of variation (CV)0.4909150224
Kurtosis7.675715032
Mean0.1639002712
Median Absolute Deviation (MAD)0.04567230493
Skewness1.57150182
Sum3734.303778
Variance0.006473989465
2020-08-25T00:08:17.224998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0520.2%
 
0.1666667014480.2%
 
0.200000003400.2%
 
0.1428571045360.2%
 
0.1875280.1%
 
0.25280.1%
 
0.125250.1%
 
0.1818182021230.1%
 
0.1538462043220.1%
 
0.111111097210.1%
 
0.2222221941180.1%
 
0.1000000015180.1%
 
0.2142857015180.1%
 
0.1333332956170.1%
 
0.1578947008160.1%
 
0.2272727042160.1%
 
0.1176470965160.1%
 
0.3333333135160.1%
 
0.173913002150.1%
 
0.09090910107150.1%
 
0.2105263025140.1%
 
0.2857142985140.1%
 
0.1764705926130.1%
 
0.1363635957130.1%
 
0.1052632034130.1%
 
Other values (19195)2222997.6%
 
ValueCountFrequency (%) 
0520.2%
 
0.00030409998731< 0.1%
 
0.0003812999931< 0.1%
 
0.00041830001281< 0.1%
 
0.00047140000971< 0.1%
 
0.00050839997131< 0.1%
 
0.00057819997891< 0.1%
 
0.00058230001011< 0.1%
 
0.00059060001511< 0.1%
 
0.00060391< 0.1%
 
ValueCountFrequency (%) 
0.91725462681< 0.1%
 
0.90709841251< 0.1%
 
0.90006208421< 0.1%
 
0.88470071551< 0.1%
 
0.8818501831< 0.1%
 
0.86169701811< 0.1%
 
0.85852372651< 0.1%
 
0.8575041891< 0.1%
 
0.84842658041< 0.1%
 
0.84569591281< 0.1%
 

P14p9
Real number (ℝ≥0)

Distinct count16168
Unique (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1215380034732334
Minimum0.0
Maximum0.511871874332428
Zeros166
Zeros (%)0.7%
Memory size178.1 KiB
2020-08-25T00:08:17.339226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03846149892
Q10.08123607747
median0.1171268523
Q30.1567568034
95-th percentile0.217948705
Maximum0.5118718743
Range0.5118718743
Interquartile range (IQR)0.07552072592

Descriptive statistics

Standard deviation0.05668667532
Coefficient of variation (CV)0.4664111117
Kurtosis1.46557418
Mean0.1215380035
Median Absolute Deviation (MAD)0.03766135126
Skewness0.6612348052
Sum2769.121871
Variance0.003213379159
2020-08-25T00:08:17.445573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01660.7%
 
0.1666667014840.4%
 
0.1428571045750.3%
 
0.111111097740.3%
 
0.125670.3%
 
0.1000000015660.3%
 
0.08333329856650.3%
 
0.200000003580.3%
 
0.09090910107550.2%
 
0.1818182021460.2%
 
0.07692310214430.2%
 
0.1538462043430.2%
 
0.07142859697410.2%
 
0.1176470965400.2%
 
0.1333332956380.2%
 
0.1363635957340.1%
 
0.1481481045310.1%
 
0.1199999973280.1%
 
0.1034483016280.1%
 
0.06666669995280.1%
 
0.1052632034270.1%
 
0.1578947008270.1%
 
0.08695650101270.1%
 
0.0625260.1%
 
0.150000006240.1%
 
Other values (16143)2154394.6%
 
ValueCountFrequency (%) 
01660.7%
 
0.00067769997991< 0.1%
 
0.00071430002571< 0.1%
 
0.00072519999231< 0.1%
 
0.00078350002881< 0.1%
 
0.00081900000811< 0.1%
 
0.00085620000031< 0.1%
 
0.00088299997151< 0.1%
 
0.00098669994621< 0.1%
 
0.0011472000041< 0.1%
 
ValueCountFrequency (%) 
0.51187187431< 0.1%
 
0.50279229881< 0.1%
 
0.5019608141< 0.1%
 
0.52< 0.1%
 
0.46978560091< 0.1%
 
0.46963870531< 0.1%
 
0.45434620981< 0.1%
 
0.45188280941< 0.1%
 
0.44961240891< 0.1%
 
0.44117650391< 0.1%
 

P15p1
Real number (ℝ≥0)

Distinct count18753
Unique (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8510756941876515
Minimum0.05415619909763336
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size178.1 KiB
2020-08-25T00:08:17.567863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0541561991
5-th percentile0.7267086327
Q10.8196857423
median0.863645196
Q30.8996568769
95-th percentile0.9431818128
Maximum1
Range0.9458438009
Interquartile range (IQR)0.07997113466

Descriptive statistics

Standard deviation0.07945483462
Coefficient of variation (CV)0.0933581292
Kurtosis13.43940247
Mean0.8510756942
Median Absolute Deviation (MAD)0.03924578428
Skewness-2.598855058
Sum19390.90862
Variance0.006313070745
2020-08-25T00:08:17.669001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.8571429253550.2%
 
0.875490.2%
 
0.9090908766460.2%
 
0.8333333135410.2%
 
0.8888888955410.2%
 
0.8999999762380.2%
 
1370.2%
 
0.8823528886290.1%
 
0.8947368264280.1%
 
0.8000000119270.1%
 
0.8666666746250.1%
 
0.9166666865240.1%
 
0.9230769277210.1%
 
0.8461537957200.1%
 
0.913043499200.1%
 
0.8181818128200.1%
 
0.8846154213200.1%
 
0.842105329170.1%
 
0.9200000167170.1%
 
0.75170.1%
 
0.8500000238170.1%
 
0.8125160.1%
 
0.9259259105150.1%
 
0.9375150.1%
 
0.928571403130.1%
 
Other values (18728)2211697.1%
 
ValueCountFrequency (%) 
0.05415619911< 0.1%
 
0.076923102141< 0.1%
 
0.12064050141< 0.1%
 
0.12224110221< 0.1%
 
0.12487609681< 0.1%
 
0.13111029571< 0.1%
 
0.14234879611< 0.1%
 
0.14927540721< 0.1%
 
0.15113349261< 0.1%
 
0.15839380031< 0.1%
 
ValueCountFrequency (%) 
1370.2%
 
0.99694401031< 0.1%
 
0.99592667821< 0.1%
 
0.99403059481< 0.1%
 
0.99320751431< 0.1%
 
0.99285197261< 0.1%
 
0.9926030041< 0.1%
 
0.99221789841< 0.1%
 
0.99204242231< 0.1%
 
0.99200177191< 0.1%
 

P15p3
Real number (ℝ≥0)

ZEROS

Distinct count9655
Unique (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020486980948239118
Minimum0.0
Maximum0.9433249235153198
Zeros12845
Zeros (%)56.4%
Memory size178.1 KiB
2020-08-25T00:08:17.781386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01919567492
95-th percentile0.08904488012
Maximum0.9433249235
Range0.9433249235
Interquartile range (IQR)0.01919567492

Descriptive statistics

Standard deviation0.05766605886
Coefficient of variation (CV)2.814766071
Kurtosis61.68812318
Mean0.02048698095
Median Absolute Deviation (MAD)0
Skewness6.730058227
Sum466.7753739
Variance0.003325374345
2020-08-25T00:08:17.874827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01284556.4%
 
0.045454498385< 0.1%
 
0.010100999854< 0.1%
 
0.0156254< 0.1%
 
0.079999998214< 0.1%
 
0.016736399383< 0.1%
 
0.0021552001133< 0.1%
 
0.01239740013< 0.1%
 
0.068965502083< 0.1%
 
0.0085469996563< 0.1%
 
0.01470590013< 0.1%
 
0.012986999943< 0.1%
 
0.026143800473< 0.1%
 
0.027173899113< 0.1%
 
0.012345699593< 0.1%
 
0.026666700843< 0.1%
 
0.062162201853< 0.1%
 
0.041666701443< 0.1%
 
0.018181800843< 0.1%
 
0.055555600673< 0.1%
 
0.050583701583< 0.1%
 
0.027026999743< 0.1%
 
0.026315800853< 0.1%
 
0.032258100813< 0.1%
 
0.024390200153< 0.1%
 
Other values (9630)986243.3%
 
ValueCountFrequency (%) 
01284556.4%
 
3.12000011e-051< 0.1%
 
3.569999899e-051< 0.1%
 
3.740000102e-051< 0.1%
 
4.999999874e-051< 0.1%
 
5.249999958e-051< 0.1%
 
5.819999933e-051< 0.1%
 
6.250000297e-051< 0.1%
 
7.349999942e-051< 0.1%
 
7.819999882e-051< 0.1%
 
ValueCountFrequency (%) 
0.94332492351< 0.1%
 
0.85133802891< 0.1%
 
0.85059422251< 0.1%
 
0.84615379571< 0.1%
 
0.84035140281< 0.1%
 
0.83175450561< 0.1%
 
0.83035349851< 0.1%
 
0.82918149231< 0.1%
 
0.77388399841< 0.1%
 
0.77290898561< 0.1%
 

P16p2
Real number (ℝ≥0)

Distinct count15570
Unique (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.716130718410936
Minimum0.2337023019790649
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size178.1 KiB
2020-08-25T00:08:18.158286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.233702302
5-th percentile0.5800441563
Q10.6622828692
median0.7142856717
Q30.7710386366
95-th percentile0.8604651093
Maximum1
Range0.766297698
Interquartile range (IQR)0.1087557673

Descriptive statistics

Standard deviation0.08726447653
Coefficient of variation (CV)0.1218555137
Kurtosis1.085519526
Mean0.7161307184
Median Absolute Deviation (MAD)0.05420303345
Skewness-0.1347583095
Sum16316.32229
Variance0.007615088865
2020-08-25T00:08:18.284429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.751590.7%
 
0.66666668651470.6%
 
0.8000000119970.4%
 
0.7142856717810.4%
 
0.6999999881650.3%
 
0.777777791600.3%
 
0.7272726893560.2%
 
0.6000000238470.2%
 
0.8333333135460.2%
 
1400.2%
 
0.7333332896400.2%
 
0.6923077106380.2%
 
0.769230783370.2%
 
0.5360.2%
 
0.6875340.1%
 
0.7619047761340.1%
 
0.625340.1%
 
0.6363636255330.1%
 
0.7857143283330.1%
 
0.647058785320.1%
 
0.7058823705310.1%
 
0.722222209310.1%
 
0.8181818128290.1%
 
0.7083333135270.1%
 
0.6842104793270.1%
 
Other values (15545)2149094.3%
 
ValueCountFrequency (%) 
0.2337023021< 0.1%
 
0.23690770571< 0.1%
 
0.24554879961< 0.1%
 
0.251< 0.1%
 
0.25779870151< 0.1%
 
0.2598376871< 0.1%
 
0.28050848841< 0.1%
 
0.29032260181< 0.1%
 
0.30000001191< 0.1%
 
0.30844160911< 0.1%
 
ValueCountFrequency (%) 
1400.2%
 
0.99598932271< 0.1%
 
0.99590998891< 0.1%
 
0.99581587311< 0.1%
 
0.99497491121< 0.1%
 
0.9930555821< 0.1%
 
0.99277460581< 0.1%
 
0.99251681571< 0.1%
 
0.99250942471< 0.1%
 
0.99239128831< 0.1%
 

P18p2
Real number (ℝ≥0)

ZEROS

Distinct count8070
Unique (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0035891179591230407
Minimum0.0
Maximum0.125
Zeros7465
Zeros (%)32.8%
Memory size178.1 KiB
2020-08-25T00:08:18.415346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.002590700053
Q30.00500742509
95-th percentile0.01119400002
Maximum0.125
Range0.125
Interquartile range (IQR)0.00500742509

Descriptive statistics

Standard deviation0.005100382716
Coefficient of variation (CV)1.421068567
Kurtosis59.2553331
Mean0.003589117959
Median Absolute Deviation (MAD)0.002590700053
Skewness5.377760542
Sum81.77446358
Variance2.601390385e-05
2020-08-25T00:08:18.520946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0746532.8%
 
0.006211199798250.1%
 
0.005987999961250.1%
 
0.00847459957250.1%
 
0.005747099873240.1%
 
0.004464299884240.1%
 
0.005714300089220.1%
 
0.005882400088220.1%
 
0.007873999886220.1%
 
0.01315790042210.1%
 
0.004975100048200.1%
 
0.00438599987200.1%
 
0.007633599918200.1%
 
0.01149430033200.1%
 
0.009523799643200.1%
 
0.003703699913200.1%
 
0.008771900088200.1%
 
0.005102000199190.1%
 
0.003773600096190.1%
 
0.004651200026190.1%
 
0.01020410005190.1%
 
0.006535899825190.1%
 
0.0064102998190.1%
 
0.006172799971190.1%
 
0.004950500093190.1%
 
Other values (8045)1481765.0%
 
ValueCountFrequency (%) 
0746532.8%
 
0.00012009999771< 0.1%
 
0.00012709999281< 0.1%
 
0.00017299999311< 0.1%
 
0.00018109999661< 0.1%
 
0.00021129999371< 0.1%
 
0.00021559999731< 0.1%
 
0.00022839999291< 0.1%
 
0.00027160000171< 0.1%
 
0.0002780999931< 0.1%
 
ValueCountFrequency (%) 
0.1251< 0.1%
 
0.090909101071< 0.1%
 
0.086956501011< 0.1%
 
0.083333298561< 0.1%
 
0.076923102142< 0.1%
 
0.071428596976< 0.1%
 
0.068181797861< 0.1%
 
0.066666699956< 0.1%
 
0.06253< 0.1%
 
0.061538498851< 0.1%
 

P27p4
Real number (ℝ≥0)

ZEROS

Distinct count12052
Unique (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03326251108898959
Minimum0.0
Maximum0.7057356834411621
Zeros1646
Zeros (%)7.2%
Memory size178.1 KiB
2020-08-25T00:08:18.649360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01626019925
median0.02752289921
Q30.04282660037
95-th percentile0.07933909968
Maximum0.7057356834
Range0.7057356834
Interquartile range (IQR)0.02656640112

Descriptive statistics

Standard deviation0.02956721658
Coefficient of variation (CV)0.8889051251
Kurtosis39.79832113
Mean0.03326251109
Median Absolute Deviation (MAD)0.01281699911
Skewness4.063705153
Sum757.8530527
Variance0.0008742202963
2020-08-25T00:08:18.771165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
016467.2%
 
0.02857140079590.3%
 
0.03030299954590.3%
 
0.03846149892580.3%
 
0.02272729948580.3%
 
0.03571429849560.2%
 
0.0204082001550.2%
 
0.02631580085520.2%
 
0.03225810081520.2%
 
0.04166670144510.2%
 
0.02325580083510.2%
 
0.02439020015500.2%
 
0.02777780034500.2%
 
0.01999999955490.2%
 
0.03703700006490.2%
 
0.02380950004490.2%
 
0.02500000037480.2%
 
0.0256409999480.2%
 
0.02127660066470.2%
 
0.04761900008470.2%
 
0.02941180021470.2%
 
0.02702699974460.2%
 
0.01639340073450.2%
 
0.01960779913450.2%
 
0.03125440.2%
 
Other values (12027)1992387.4%
 
ValueCountFrequency (%) 
016467.2%
 
0.00048469999461< 0.1%
 
0.00049890001541< 0.1%
 
0.00065659999381< 0.1%
 
0.00069160002751< 0.1%
 
0.00071920000481< 0.1%
 
0.00072070001621< 0.1%
 
0.00073959998551< 0.1%
 
0.00082989997461< 0.1%
 
0.00084529997551< 0.1%
 
ValueCountFrequency (%) 
0.70573568341< 0.1%
 
0.56720799211< 0.1%
 
0.52< 0.1%
 
0.40053030851< 0.1%
 
0.39051920181< 0.1%
 
0.36363640431< 0.1%
 
0.36283189061< 0.1%
 
0.35714289551< 0.1%
 
0.35303691031< 0.1%
 
0.34219270941< 0.1%
 

H2p2
Real number (ℝ≥0)

Distinct count15662
Unique (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11052673970146551
Minimum0.0
Maximum0.97517728805542
Zeros115
Zeros (%)0.5%
Memory size178.1 KiB
2020-08-25T00:08:18.912867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02314910581
Q10.04930317588
median0.08117934689
Q30.1314298995
95-th percentile0.2999416471
Maximum0.9751772881
Range0.9751772881
Interquartile range (IQR)0.0821267236

Descriptive statistics

Standard deviation0.1059248315
Coefficient of variation (CV)0.9583638475
Kurtosis14.16592441
Mean0.1105267397
Median Absolute Deviation (MAD)0.03747584671
Skewness3.190150268
Sum2518.241237
Variance0.01122006993
2020-08-25T00:08:19.018001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01150.5%
 
0.125650.3%
 
0.1000000015630.3%
 
0.111111097580.3%
 
0.1666667014540.2%
 
0.1428571045540.2%
 
0.07692310214530.2%
 
0.200000003470.2%
 
0.09090910107450.2%
 
0.08333329856400.2%
 
0.25400.2%
 
0.06666669995370.2%
 
0.07142859697370.2%
 
0.0625360.2%
 
0.05882349983350.2%
 
0.05263160169340.1%
 
0.05000000075300.1%
 
0.04347829893290.1%
 
0.1052632034290.1%
 
0.1333332956270.1%
 
0.1176470965260.1%
 
0.05555560067260.1%
 
0.06896550208250.1%
 
0.04545449838250.1%
 
0.07407409698240.1%
 
Other values (15637)2173095.4%
 
ValueCountFrequency (%) 
01150.5%
 
0.0028409000951< 0.1%
 
0.0036363999821< 0.1%
 
0.0040107001551< 0.1%
 
0.004385999871< 0.1%
 
0.0044053001331< 0.1%
 
0.0044944002291< 0.1%
 
0.0046295998621< 0.1%
 
0.0048334999011< 0.1%
 
0.0049999998881< 0.1%
 
ValueCountFrequency (%) 
0.97517728812< 0.1%
 
0.96013289691< 0.1%
 
0.9597855211< 0.1%
 
0.95224171881< 0.1%
 
0.9444444181< 0.1%
 
0.94036698341< 0.1%
 
0.93344157931< 0.1%
 
0.92763662341< 0.1%
 
0.92620182041< 0.1%
 
0.9206196071< 0.1%
 

H8p2
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count10941
Unique (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.057436858867208555
Minimum0.0
Maximum1.0
Zeros9203
Zeros (%)40.4%
Memory size178.1 KiB
2020-08-25T00:08:19.136741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.002538099885
Q30.02992774919
95-th percentile0.3594396457
Maximum1
Range1
Interquartile range (IQR)0.02992774919

Descriptive statistics

Standard deviation0.1398113667
Coefficient of variation (CV)2.434175013
Kurtosis14.83941661
Mean0.05743685887
Median Absolute Deviation (MAD)0.002538099885
Skewness3.605640596
Sum1308.641392
Variance0.01954721825
2020-08-25T00:08:19.244017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0920340.4%
 
0.5120.1%
 
0.0103093003911< 0.1%
 
0.0052355998211< 0.1%
 
0.2510< 0.1%
 
0.014285700410< 0.1%
 
110< 0.1%
 
0.0199999995510< 0.1%
 
0.00588240008810< 0.1%
 
0.0040815998810< 0.1%
 
0.0285714007910< 0.1%
 
0.0454544983810< 0.1%
 
0.024390200159< 0.1%
 
0.015151499779< 0.1%
 
0.014084500269< 0.1%
 
0.0020367000259< 0.1%
 
0.032258100819< 0.1%
 
0.0033223000369< 0.1%
 
0.02564099999< 0.1%
 
0.030302999549< 0.1%
 
0.0033332998868< 0.1%
 
0.0089285997678< 0.1%
 
0.012195100088< 0.1%
 
0.010638300338< 0.1%
 
0.0037175000188< 0.1%
 
Other values (10916)1335558.6%
 
ValueCountFrequency (%) 
0920340.4%
 
0.00010900000051< 0.1%
 
0.00020559999391< 0.1%
 
0.00020809999841< 0.1%
 
0.00020939999381< 0.1%
 
0.00022719999831< 0.1%
 
0.00022909999831< 0.1%
 
0.00023069999591< 0.1%
 
0.00023269999661< 0.1%
 
0.00023859999781< 0.1%
 
ValueCountFrequency (%) 
110< 0.1%
 
0.99928617481< 0.1%
 
0.99720668791< 0.1%
 
0.9971181751< 0.1%
 
0.99698799851< 0.1%
 
0.99661022421< 0.1%
 
0.99633699661< 0.1%
 
0.99503719811< 0.1%
 
0.99429219961< 0.1%
 
0.99402987961< 0.1%
 

H10p1
Real number (ℝ≥0)

Distinct count10855
Unique (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9670449511162117
Minimum0.003257300006225705
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size178.1 KiB
2020-08-25T00:08:19.367498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.003257300006
5-th percentile0.8544050813
Q10.9814099371
median0.9941002727
Q31
95-th percentile1
Maximum1
Range0.9967427
Interquartile range (IQR)0.01859006286

Descriptive statistics

Standard deviation0.09995253026
Coefficient of variation (CV)0.103358722
Kurtosis39.88856481
Mean0.9670449511
Median Absolute Deviation (MAD)0.005899727345
Skewness-5.87302657
Sum22033.15217
Variance0.009990508306
2020-08-25T00:08:19.473694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1620927.3%
 
0.9821429253280.1%
 
0.9818181992270.1%
 
0.9932885766210.1%
 
0.9922481179200.1%
 
0.9863014221200.1%
 
0.9918032885200.1%
 
0.9912281036200.1%
 
0.9885057211200.1%
 
0.989690721200.1%
 
0.9852941036200.1%
 
0.9876543283190.1%
 
0.9926471114190.1%
 
0.9939393997190.1%
 
0.9918699265190.1%
 
0.9898989797190.1%
 
0.992125988190.1%
 
0.9861111045190.1%
 
0.9857143164180.1%
 
0.9873418212180.1%
 
0.9841269851180.1%
 
0.9924811721180.1%
 
0.9944443703170.1%
 
0.9880952239170.1%
 
0.9900990129170.1%
 
Other values (10830)1610370.7%
 
ValueCountFrequency (%) 
0.0032573000061< 0.1%
 
0.0054644998161< 0.1%
 
0.006578899921< 0.1%
 
0.0097324000671< 0.1%
 
0.015444000251< 0.1%
 
0.015968099241< 0.1%
 
0.01666669921< 0.1%
 
0.02016130091< 0.1%
 
0.021276600661< 0.1%
 
0.022364199161< 0.1%
 
ValueCountFrequency (%) 
1620927.3%
 
0.99964487551< 0.1%
 
0.9995489121< 0.1%
 
0.99953639511< 0.1%
 
0.99953448771< 0.1%
 
0.99952697751< 0.1%
 
0.9995095731< 0.1%
 
0.99949699641< 0.1%
 
0.99949371811< 0.1%
 
0.99946612121< 0.1%
 

H13p1
Real number (ℝ≥0)

Distinct count17097
Unique (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3049927985171666
Minimum0.0
Maximum1.0
Zeros64
Zeros (%)0.3%
Memory size178.1 KiB
2020-08-25T00:08:19.599442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09931724742
Q10.2216733545
median0.2997999489
Q30.375
95-th percentile0.5292501569
Maximum1
Range1
Interquartile range (IQR)0.1533266455

Descriptive statistics

Standard deviation0.1339977874
Coefficient of variation (CV)0.4393473816
Kurtosis2.303983759
Mean0.3049927985
Median Absolute Deviation (MAD)0.07646214962
Skewness0.8013778743
Sum6948.955921
Variance0.01795540704
2020-08-25T00:08:19.703866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.33333331351040.5%
 
0.25790.3%
 
0640.3%
 
0.200000003530.2%
 
0.2857142985500.2%
 
0.400000006440.2%
 
0.1666667014360.2%
 
0.2727273107330.1%
 
0.5330.1%
 
0.2222221941290.1%
 
0.3076922894280.1%
 
0.3571428955270.1%
 
0.375260.1%
 
0.1818182021260.1%
 
0.2142857015250.1%
 
0.277777791250.1%
 
0.125240.1%
 
0.2666667104230.1%
 
0.3000000119230.1%
 
0.2307692021210.1%
 
0.428571403200.1%
 
0.2380951941200.1%
 
0.3529411852200.1%
 
0.2800000012190.1%
 
0.1875190.1%
 
Other values (17072)2191396.2%
 
ValueCountFrequency (%) 
0640.3%
 
0.0013986000561< 0.1%
 
0.0026809999251< 0.1%
 
0.0032895000191< 0.1%
 
0.0034129999111< 0.1%
 
0.0034443000331< 0.1%
 
0.0037736000961< 0.1%
 
0.0038610000631< 0.1%
 
0.0038910999431< 0.1%
 
0.0042614000851< 0.1%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.9904761911< 0.1%
 
0.9896907211< 0.1%
 
0.9859154821< 0.1%
 
0.98113209011< 0.1%
 
0.9807692171< 0.1%
 
0.97872340681< 0.1%
 
0.97560977941< 0.1%
 
0.97468352321< 0.1%
 
0.9722222092< 0.1%
 

H18pA
Real number (ℝ≥0)

ZEROS

Distinct count9063
Unique (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10737667608737722
Minimum0.0
Maximum1.0
Zeros1690
Zeros (%)7.4%
Memory size178.1 KiB
2020-08-25T00:08:19.824412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05277039856
median0.08695650101
Q30.1379310042
95-th percentile0.2727273107
Maximum1
Range1
Interquartile range (IQR)0.08516060561

Descriptive statistics

Standard deviation0.09006532502
Coefficient of variation (CV)0.8387792238
Kurtosis14.01317319
Mean0.1073766761
Median Absolute Deviation (MAD)0.03981849924
Skewness2.614052862
Sum2446.470188
Variance0.008111762771
2020-08-25T00:08:19.927203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
016907.4%
 
0.16666670142451.1%
 
0.14285710452431.1%
 
0.1111110972301.0%
 
0.1252201.0%
 
0.2000000032090.9%
 
0.252000.9%
 
0.10000000151850.8%
 
0.090909101071820.8%
 
0.083333298561740.8%
 
0.076923102141660.7%
 
0.33333331351640.7%
 
0.071428596971420.6%
 
0.066666699951400.6%
 
0.06251210.5%
 
0.18181820211010.4%
 
0.058823499831010.4%
 
0.1333332956990.4%
 
0.1176470965900.4%
 
0.05263160169900.4%
 
0.1538462043880.4%
 
0.05555560067860.4%
 
0.5850.4%
 
0.04347829893840.4%
 
0.09523809701810.4%
 
Other values (9038)1756877.1%
 
ValueCountFrequency (%) 
016907.4%
 
0.00086059997561< 0.1%
 
0.001155399951< 0.1%
 
0.0017794000451< 0.1%
 
0.0019493000581< 0.1%
 
0.00236971< 0.1%
 
0.0025047000961< 0.1%
 
0.0025063001091< 0.1%
 
0.0029674000111< 0.1%
 
0.0033360999081< 0.1%
 
ValueCountFrequency (%) 
1230.1%
 
0.8751< 0.1%
 
0.753< 0.1%
 
0.71428567171< 0.1%
 
0.69999998811< 0.1%
 
0.68800002341< 0.1%
 
0.68421047931< 0.1%
 
0.67741942411< 0.1%
 
0.66666668657< 0.1%
 
0.652000011< 0.1%
 

H40p4
Real number (ℝ≥0)

ZEROS

Distinct count2421
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4916256467710881
Minimum0.0
Maximum1.0
Zeros4159
Zeros (%)18.3%
Memory size178.1 KiB
2020-08-25T00:08:20.041568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2432432026
median0.5
Q30.75
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.5067567974

Descriptive statistics

Standard deviation0.3316551073
Coefficient of variation (CV)0.6746090435
Kurtosis-1.095900308
Mean0.4916256468
Median Absolute Deviation (MAD)0.25
Skewness-0.02660254313
Sum11201.19874
Variance0.1099951102
2020-08-25T00:08:20.140067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0415918.3%
 
1333214.6%
 
0.515536.8%
 
0.66666668659904.3%
 
0.33333331356582.9%
 
0.755712.5%
 
0.60000002384251.9%
 
0.80000001193591.6%
 
0.253501.5%
 
0.4000000062681.2%
 
0.83333331352451.1%
 
0.71428567172351.0%
 
0.2000000032301.0%
 
0.5714285971970.9%
 
0.4285714031860.8%
 
0.6251750.8%
 
0.85714292531600.7%
 
0.3751440.6%
 
0.28571429851430.6%
 
0.44444438821370.6%
 
0.5555555821300.6%
 
0.7777777911190.5%
 
0.16666670141090.5%
 
0.4545454979920.4%
 
0.5454545021900.4%
 
Other values (2396)772733.9%
 
ValueCountFrequency (%) 
0415918.3%
 
0.019230799751< 0.1%
 
0.023255800832< 0.1%
 
0.023809500041< 0.1%
 
0.025000000371< 0.1%
 
0.027026999741< 0.1%
 
0.028571400791< 0.1%
 
0.030302999541< 0.1%
 
0.031496100131< 0.1%
 
0.032258100812< 0.1%
 
ValueCountFrequency (%) 
1333214.6%
 
0.98575502631< 0.1%
 
0.98113209011< 0.1%
 
0.97777777911< 0.1%
 
0.97727268931< 0.1%
 
0.97500002381< 0.1%
 
0.97058820721< 0.1%
 
0.96666669851< 0.1%
 
0.96551722291< 0.1%
 
0.96153849361< 0.1%
 

target
Real number (ℝ≥0)

Distinct count2045
Unique (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50074.43978230337
Minimum0.0
Maximum500001.0
Zeros52
Zeros (%)0.2%
Memory size178.1 KiB
2020-08-25T00:08:20.249892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14999
Q121000
median33200
Q356100
95-th percentile150000
Maximum500001
Range500001
Interquartile range (IQR)35100

Descriptive statistics

Standard deviation52843.47555
Coefficient of variation (CV)1.055298387
Kurtosis20.326923
Mean50074.43978
Median Absolute Deviation (MAD)15300
Skewness3.755120054
Sum1140896036
Variance2792432908
2020-08-25T00:08:20.356175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14999311113.7%
 
21300980.4%
 
17500940.4%
 
31300890.4%
 
16300890.4%
 
26300870.4%
 
23800860.4%
 
18800800.4%
 
22500780.3%
 
20000700.3%
 
36300690.3%
 
20300670.3%
 
32500660.3%
 
15000650.3%
 
27500650.3%
 
24100630.3%
 
27300630.3%
 
33800620.3%
 
25600620.3%
 
28800610.3%
 
23300610.3%
 
28300610.3%
 
38800610.3%
 
20600600.3%
 
30300600.3%
 
Other values (2020)1795678.8%
 
ValueCountFrequency (%) 
0520.2%
 
14999311113.7%
 
15000650.3%
 
15100230.1%
 
15200380.2%
 
15300310.1%
 
15400330.1%
 
15500290.1%
 
15600500.2%
 
15700360.2%
 
ValueCountFrequency (%) 
500001470.2%
 
4942001< 0.1%
 
4926001< 0.1%
 
4811001< 0.1%
 
4786001< 0.1%
 
4712001< 0.1%
 
4693001< 0.1%
 
4684001< 0.1%
 
4669001< 0.1%
 
4625001< 0.1%
 

Interactions

2020-08-25T00:07:31.490148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:31.648815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:31.809674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:31.961348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:32.107974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:32.258684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:32.406591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:32.555263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:32.716344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:32.876634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:33.040155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:33.192097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:33.344392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:33.498044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:33.651240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:33.801469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:34.113344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:34.264911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:34.428866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:34.597311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:34.752372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:34.906667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:35.066654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:35.221104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:35.374450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:35.545336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:35.701457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:35.864685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.019190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.175140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.333749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.491284image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.647749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.804774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:36.960875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.109560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.260807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.405349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.546839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.688271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.823460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:37.960203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:38.113047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:38.261300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:38.569148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:38.708155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:38.847450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:38.989407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.131256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.271425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.411028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.552646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.696589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.842104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:39.977832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.110457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.251519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.382923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.520316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.668692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.807033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:40.948629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.084362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.225865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.363589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.506145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.641721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.774584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:41.907666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:42.063415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:42.214034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:42.354509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:42.490609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:42.632388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:42.931591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.073539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.226851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.372099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.521042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.663880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.805588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:43.954005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.094491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.236788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.377651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.522272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.670374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.824183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:44.961682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.093332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.230157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.363039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.497468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.645149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.783818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:45.925892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.066526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.204145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.339535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.474185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.609075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.751160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:46.887189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:47.028647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:47.337262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:47.471273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:47.608653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:47.749050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:47.880577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.011469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.167578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.311409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.453647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.595193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.732776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:48.867715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.004191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.139518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.277137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.412451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.574418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.741808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:49.899588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:50.051084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:50.207370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:50.368008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:50.520989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:50.688534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:50.854921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:51.019243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:51.180735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:51.337436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:51.497457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:51.816248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:51.981426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:52.136269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:52.298666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:52.452939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:52.609847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:52.757880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:52.912595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.061493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.205053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.350024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.509469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.660731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.821602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:53.968264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:54.112278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:54.256850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:54.408138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:54.553715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:54.706953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:54.857534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.015753image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.177624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.331194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.479012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.629936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.776490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:55.924733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:56.087960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:56.430885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:56.646866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:56.797488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:56.951357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:57.102365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:57.253451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:57.406896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:57.572838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:57.723347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:57.876796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.052041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.194842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.329837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.478017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.616308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.752782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:58.912513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.057859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.208159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.346990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.488648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.628803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.770439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:07:59.914173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:00.057277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:00.196013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:00.341087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:00.497225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:00.638151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:00.937038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.078145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.218861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.358359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.518419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.666617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.823384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:01.970987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.116325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.258985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.398714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.542051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.683830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.825406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:02.978954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.131898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.273146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.410313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.555111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.691478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.830951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:03.982833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:04.129931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:04.281689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:04.422724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:04.566441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:04.713264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:04.857918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:05.001660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:05.141091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:05.446641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:05.596357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:05.745788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:05.886624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.033100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.172760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.306733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.443599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.606301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.753920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:06.902928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.044172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.185391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.325220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.464499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.620394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.759497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:07.916252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.065164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.216656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.357189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.495705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.640153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.777315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:08.915428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:09.067491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:09.215811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:09.361784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:09.502614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:09.641651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:09.945503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.094450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.248002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.393137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.541952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.694954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.845462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:10.985877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.123764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.262757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.398784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.541448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.696802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.844069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:11.994051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.135753image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.275878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.423353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.567509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.710039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.851701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:12.994405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:13.143373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:13.297777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:13.438526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:13.587197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:13.730011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:13.875877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:14.018766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:14.172221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:14.481051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:14.631406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:14.774014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:14.912508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:15.056992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:15.199048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:15.340390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:15.481213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:08:20.500089image/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.
2020-08-25T00:08:20.778912image/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.
2020-08-25T00:08:21.064786image/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.
2020-08-25T00:08:21.497816image/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

2020-08-25T00:08:15.776901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:08:16.164688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

P1P5p1P6p2P11p4P14p9P15p1P15p3P16p2P18p2P27p4H2p2H8p2H10p1H13p1H18pAH40p4target
015512.00.4608690.0492520.2264700.1498270.7528370.0100570.5797290.0032510.0759120.6253180.0366130.9913770.2601160.0522460.774059130600.0
11550.00.4709680.0025810.1374190.0963410.8625810.0000000.6951420.0050250.0435510.0642630.0033500.9949750.2852660.0606060.14285740500.0
24741.00.4853410.0002110.1894120.1356560.8569920.0000000.6835840.0041430.0279650.0657960.0000000.9974110.3154330.0651160.68750028700.0
3467.00.4989290.0000000.1006420.0854700.9079230.0000000.7804880.0060980.0182930.0574710.0000001.0000000.1494250.1395351.00000028500.0
4310.00.4741940.6806450.2258070.1288340.8967740.0000000.7563020.0084030.0168070.0775190.6722690.9915970.1472870.0000000.00000024100.0
5461.00.4750540.0867680.1301520.0950410.9240780.0000000.7926830.0000000.0060980.0888890.0548780.9939020.2722220.2941180.50000014999.0
6723.00.5062240.0000000.1217150.1092440.8658370.0000000.7241380.0114940.0727970.1000000.0000001.0000000.1896550.1463420.00000033200.0
775728.00.4683340.2912130.1696860.1239130.7952540.0097190.6148480.0023980.0621260.0839280.2639820.9870770.3815260.0246690.24878166300.0
82949.00.4679550.0044080.1804000.1357550.8284160.0128860.6749380.0024810.0479730.1972110.0041360.9950370.2350600.0428570.571429138000.0
94490.00.5098000.0073500.0518930.0354380.9507790.0031180.8859860.0015830.0372130.0269650.0095010.7775140.1902930.2453700.000000140600.0

Last rows

P1P5p1P6p2P11p4P14p9P15p1P15p3P16p2P18p2P27p4H2p2H8p2H10p1H13p1H18pAH40p4target
227742091.00.4768050.0028690.1936870.1343690.8962220.0033480.7559750.0012580.0188680.0340220.0012580.9974840.0826250.0983610.57142961200.0
227753009.00.4602860.0003320.1335990.1182270.8454640.0249250.7042870.0069990.0341210.0459100.0000000.9650040.2637730.0845920.33333329000.0
227765698.00.4454190.0000000.8025620.2322780.8237980.0000000.7064420.0000000.0144170.2327610.0000000.9966260.6773360.0000000.47524854500.0
22777265.00.4528300.0000000.1735850.1448280.8792450.0000000.7142860.0000000.0190480.0948280.0000001.0000000.1810350.2352940.00000020000.0
22778458.00.3973800.4672490.2729260.2318840.7663750.1310040.7383720.0000000.0116280.0947370.4244191.0000000.3000000.0909090.00000032500.0
227799579.00.4659150.0005220.1815430.1376070.8221110.0371650.6749450.0008190.0332970.0304310.0005460.9967250.2770570.0499080.21428638900.0
2278066467.00.4716630.1213840.1565440.1149020.8243640.0137210.6631650.0044750.0481930.0684290.1024150.9941930.3447610.0690910.59833827900.0
22781977.00.4820880.1248720.1095190.0849800.8444220.0000000.6888300.0132980.0585110.0456850.1090430.9787230.1878170.1145040.33333351100.0
22782306.00.5098040.0000000.1503270.1133330.9052290.0000000.7787610.0088500.0265490.0887100.0000001.0000000.2822580.0909090.00000017200.0
227836198.00.5088740.0135530.1329460.0795010.8644720.0053240.7041830.0008620.0487280.0966110.0159550.9711080.3747560.0303030.600000117700.0

Duplicate rows

Most frequent

P1P5p1P6p2P11p4P14p9P15p1P15p3P16p2P18p2P27p4H2p2H8p2H10p1H13p1H18pAH40p4targetcount
022.00.4545450.00.2272730.0833330.6818180.00.50.00.00.9751770.01.00.7464540.01.065600.02