Overview

Dataset statistics

Number of variables20
Number of observations6435
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1005.6 KiB
Average record size in memory160.0 B

Variable types

NUM20

Reproduction

Analysis started2020-08-24 23:56:41.446714
Analysis finished2020-08-24 23:57:42.843592
Duration1 minute and 1.4 second
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

attr31 is highly correlated with attr27 and 1 other fieldsHigh correlation
attr27 is highly correlated with attr31High correlation
attr32 is highly correlated with attr36 and 2 other fieldsHigh correlation
attr36 is highly correlated with attr32 and 1 other fieldsHigh correlation
attr13 is highly correlated with attr17 and 2 other fieldsHigh correlation
attr17 is highly correlated with attr13 and 3 other fieldsHigh correlation
attr9 is highly correlated with attr17 and 1 other fieldsHigh correlation
attr18 is highly correlated with attr14 and 4 other fieldsHigh correlation
attr14 is highly correlated with attr18 and 2 other fieldsHigh correlation
attr22 is highly correlated with attr18 and 3 other fieldsHigh correlation
attr10 is highly correlated with attr22 and 2 other fieldsHigh correlation
attr35 is highly correlated with attr31High correlation
attr1 is highly correlated with attr17 and 2 other fieldsHigh correlation
attr5 is highly correlated with attr17 and 3 other fieldsHigh correlation
attr30 is highly correlated with attr14 and 2 other fieldsHigh correlation
attr16 is highly correlated with attr32 and 1 other fieldsHigh correlation
attr20 is highly correlated with attr36 and 2 other fieldsHigh correlation
attr6 is highly correlated with attr14 and 3 other fieldsHigh correlation

Variables

attr36
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count104
Unique (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.5053613053613
Minimum29.0
Maximum157.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:42.895213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile57
Q168
median81
Q392
95-th percentile125
Maximum157
Range128
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.05427422
Coefficient of variation (CV)0.2309458915
Kurtosis1.235652518
Mean82.50536131
Median Absolute Deviation (MAD)11
Skewness0.8972012558
Sum530922
Variance363.065366
2020-08-24T23:57:43.005437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
833665.7%
 
873285.1%
 
792784.3%
 
922694.2%
 
962624.1%
 
942313.6%
 
851913.0%
 
781712.7%
 
811682.6%
 
901672.6%
 
761582.5%
 
751492.3%
 
671482.3%
 
581392.2%
 
741382.1%
 
721382.1%
 
621372.1%
 
591372.1%
 
701362.1%
 
681272.0%
 
631241.9%
 
981191.8%
 
651171.8%
 
881101.7%
 
571101.7%
 
Other values (79)201731.3%
 
ValueCountFrequency (%) 
291< 0.1%
 
331< 0.1%
 
342< 0.1%
 
371< 0.1%
 
381< 0.1%
 
391< 0.1%
 
413< 0.1%
 
4240.1%
 
44100.2%
 
4560.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1541< 0.1%
 
15150.1%
 
15060.1%
 
1472< 0.1%
 
146100.2%
 
14450.1%
 
143160.2%
 
142100.2%
 
14150.1%
 

attr14
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count83
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.47676767676768
Minimum27.0
Maximum137.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:43.126075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q171
median85
Q3103
95-th percentile112
Maximum137
Range110
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.84989495
Coefficient of variation (CV)0.2737275961
Kurtosis-0.2145872041
Mean83.47676768
Median Absolute Deviation (MAD)15
Skewness-0.6673999446
Sum537173
Variance522.1176992
2020-08-24T23:57:43.228616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
793395.3%
 
753335.2%
 
1112744.3%
 
1032714.2%
 
1072283.5%
 
912213.4%
 
992183.4%
 
952103.3%
 
711943.0%
 
871903.0%
 
831882.9%
 
1061842.9%
 
731672.6%
 
1121542.4%
 
771462.3%
 
1021362.1%
 
341362.1%
 
841302.0%
 
811251.9%
 
881161.8%
 
31931.4%
 
115921.4%
 
32891.4%
 
104891.4%
 
100861.3%
 
Other values (58)202631.5%
 
ValueCountFrequency (%) 
27110.2%
 
281< 0.1%
 
29560.9%
 
30160.2%
 
31931.4%
 
32891.4%
 
341362.1%
 
36160.2%
 
37721.1%
 
3950.1%
 
ValueCountFrequency (%) 
1371< 0.1%
 
1311< 0.1%
 
1301< 0.1%
 
1282< 0.1%
 
1271< 0.1%
 
12660.1%
 
12570.1%
 
1233< 0.1%
 
1223< 0.1%
 
12180.1%
 

attr27
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count75
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.21476301476301
Minimum50.0
Maximum140.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:43.341770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile73
Q185
median100
Q3113
95-th percentile124
Maximum140
Range90
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.61251423
Coefficient of variation (CV)0.1674399427
Kurtosis-0.8798282135
Mean99.21476301
Median Absolute Deviation (MAD)13
Skewness-0.1173090218
Sum638447
Variance275.9756291
2020-08-24T23:57:43.450160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1042934.6%
 
1002413.7%
 
1142403.7%
 
962213.4%
 
1132073.2%
 
1052063.2%
 
822043.2%
 
1181892.9%
 
931872.9%
 
1081812.8%
 
1101742.7%
 
1221662.6%
 
1191652.6%
 
741632.5%
 
971502.3%
 
851492.3%
 
1011462.3%
 
1121442.2%
 
901322.1%
 
891312.0%
 
781272.0%
 
1091231.9%
 
1151201.9%
 
861201.9%
 
751191.8%
 
Other values (50)213733.2%
 
ValueCountFrequency (%) 
501< 0.1%
 
532< 0.1%
 
551< 0.1%
 
563< 0.1%
 
6050.1%
 
6270.1%
 
6380.1%
 
6460.1%
 
6570.1%
 
66170.3%
 
ValueCountFrequency (%) 
1401< 0.1%
 
139140.2%
 
13880.1%
 
13660.1%
 
13580.1%
 
134130.2%
 
133250.4%
 
131190.3%
 
130220.3%
 
129150.2%
 

attr31
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count77
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.1118881118881
Minimum50.0
Maximum145.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:43.557879image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile72
Q185
median100
Q3113
95-th percentile124
Maximum145
Range95
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.7043047
Coefficient of variation (CV)0.1685398696
Kurtosis-0.9064466906
Mean99.11188811
Median Absolute Deviation (MAD)14
Skewness-0.120959352
Sum637785
Variance279.0337955
2020-08-24T23:57:43.659084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1042844.4%
 
1142393.7%
 
1002283.5%
 
962223.4%
 
1132123.3%
 
822063.2%
 
1052003.1%
 
1181903.0%
 
1101832.8%
 
1081822.8%
 
931792.8%
 
1221752.7%
 
741652.6%
 
1191562.4%
 
851512.3%
 
1011512.3%
 
971492.3%
 
1121442.2%
 
901382.1%
 
781282.0%
 
751262.0%
 
891251.9%
 
1151231.9%
 
1091211.9%
 
861151.8%
 
Other values (52)214333.3%
 
ValueCountFrequency (%) 
501< 0.1%
 
532< 0.1%
 
551< 0.1%
 
563< 0.1%
 
571< 0.1%
 
581< 0.1%
 
6050.1%
 
6260.1%
 
6380.1%
 
6440.1%
 
ValueCountFrequency (%) 
1451< 0.1%
 
139120.2%
 
13860.1%
 
13660.1%
 
13570.1%
 
134110.2%
 
133260.4%
 
131180.3%
 
130250.4%
 
129160.2%
 

attr17
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count50
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.04568764568765
Minimum40.0
Maximum104.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:43.769328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile46
Q160
median68
Q379
95-th percentile92
Maximum104
Range64
Interquartile range (IQR)19

Descriptive statistics

Standard deviation13.53761823
Coefficient of variation (CV)0.1960675415
Kurtosis-0.7026898806
Mean69.04568765
Median Absolute Deviation (MAD)10
Skewness0.03825822866
Sum444309
Variance183.2671072
2020-08-24T23:57:44.064869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
675087.9%
 
634476.9%
 
713585.6%
 
683024.7%
 
642964.6%
 
882894.5%
 
842413.7%
 
602023.1%
 
701903.0%
 
591862.9%
 
531842.9%
 
661842.9%
 
751772.8%
 
561732.7%
 
921592.5%
 
761582.5%
 
441532.4%
 
801432.2%
 
461382.1%
 
791372.1%
 
821342.1%
 
781292.0%
 
741262.0%
 
571131.8%
 
501111.7%
 
Other values (25)119718.6%
 
ValueCountFrequency (%) 
4080.1%
 
41140.2%
 
42330.5%
 
43500.8%
 
441532.4%
 
461382.1%
 
47651.0%
 
48420.7%
 
49651.0%
 
501111.7%
 
ValueCountFrequency (%) 
1041< 0.1%
 
1021< 0.1%
 
101100.2%
 
9980.1%
 
97530.8%
 
96290.5%
 
95230.4%
 
93951.5%
 
921592.5%
 
90671.0%
 

attr32
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count103
Unique (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.61802641802642
Minimum29.0
Maximum157.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:44.190998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile57
Q169
median81
Q392
95-th percentile125
Maximum157
Range128
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.04366132
Coefficient of variation (CV)0.2305024962
Kurtosis1.206349203
Mean82.61802642
Median Absolute Deviation (MAD)11
Skewness0.8829188477
Sum531647
Variance362.6610365
2020-08-24T23:57:44.302925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
833705.7%
 
873184.9%
 
922794.3%
 
792784.3%
 
962654.1%
 
942323.6%
 
851862.9%
 
811782.8%
 
901742.7%
 
781702.6%
 
761602.5%
 
751522.4%
 
671462.3%
 
721432.2%
 
591412.2%
 
701392.2%
 
741362.1%
 
581342.1%
 
621312.0%
 
981241.9%
 
631211.9%
 
681201.9%
 
571141.8%
 
651091.7%
 
881061.6%
 
Other values (78)200931.2%
 
ValueCountFrequency (%) 
291< 0.1%
 
331< 0.1%
 
342< 0.1%
 
371< 0.1%
 
381< 0.1%
 
391< 0.1%
 
413< 0.1%
 
4250.1%
 
44100.2%
 
4560.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1541< 0.1%
 
15150.1%
 
15040.1%
 
1471< 0.1%
 
146120.2%
 
14450.1%
 
143170.3%
 
14290.1%
 
14140.1%
 

attr22
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count80
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.86091686091686
Minimum27.0
Maximum130.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:44.420484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q171
median84
Q3103
95-th percentile112
Maximum130
Range103
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.88437955
Coefficient of variation (CV)0.2761782083
Kurtosis-0.2787639815
Mean82.86091686
Median Absolute Deviation (MAD)16
Skewness-0.649578215
Sum533210
Variance523.6948276
2020-08-24T23:57:44.519027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
793485.4%
 
753305.1%
 
1112674.1%
 
1032644.1%
 
1072283.5%
 
992233.5%
 
912133.3%
 
952023.1%
 
832003.1%
 
711953.0%
 
1061872.9%
 
871672.6%
 
731592.5%
 
771522.4%
 
1121502.3%
 
341412.2%
 
811312.0%
 
1021251.9%
 
881201.9%
 
841181.8%
 
31941.5%
 
104891.4%
 
32881.4%
 
100831.3%
 
109811.3%
 
Other values (55)208032.3%
 
ValueCountFrequency (%) 
27110.2%
 
281< 0.1%
 
29600.9%
 
30160.2%
 
31941.5%
 
32881.4%
 
341412.2%
 
36170.3%
 
37771.2%
 
3950.1%
 
ValueCountFrequency (%) 
1301< 0.1%
 
1281< 0.1%
 
1271< 0.1%
 
12550.1%
 
1232< 0.1%
 
1222< 0.1%
 
12180.1%
 
120220.3%
 
118150.2%
 
117130.2%
 

attr13
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count51
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.28966588966588
Minimum39.0
Maximum104.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:44.631886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile46
Q160
median68
Q380
95-th percentile92
Maximum104
Range65
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.6026935
Coefficient of variation (CV)0.1963163385
Kurtosis-0.7098347483
Mean69.28966589
Median Absolute Deviation (MAD)10
Skewness0.03439454901
Sum445879
Variance185.0332706
2020-08-24T23:57:44.750747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
674987.7%
 
634537.0%
 
713585.6%
 
642964.6%
 
682964.6%
 
882894.5%
 
842413.7%
 
601882.9%
 
591852.9%
 
701832.8%
 
661772.8%
 
751762.7%
 
531762.7%
 
561692.6%
 
921682.6%
 
761612.5%
 
791482.3%
 
801472.3%
 
441432.2%
 
821392.2%
 
461372.1%
 
741332.1%
 
781262.0%
 
571191.8%
 
501161.8%
 
Other values (26)121318.9%
 
ValueCountFrequency (%) 
391< 0.1%
 
4070.1%
 
41140.2%
 
42330.5%
 
43460.7%
 
441432.2%
 
461372.1%
 
47661.0%
 
48430.7%
 
49661.0%
 
ValueCountFrequency (%) 
1041< 0.1%
 
1022< 0.1%
 
101120.2%
 
9990.1%
 
97621.0%
 
96320.5%
 
95220.3%
 
93951.5%
 
921682.6%
 
90761.2%
 

attr9
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count50
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.91235431235431
Minimum40.0
Maximum104.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:44.870445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile46
Q160
median67
Q379
95-th percentile92
Maximum104
Range64
Interquartile range (IQR)19

Descriptive statistics

Standard deviation13.47059894
Coefficient of variation (CV)0.1954743684
Kurtosis-0.7003081195
Mean68.91235431
Median Absolute Deviation (MAD)9
Skewness0.04441226057
Sum443451
Variance181.4570357
2020-08-24T23:57:44.986010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
675047.8%
 
634807.5%
 
713335.2%
 
683124.8%
 
643104.8%
 
883044.7%
 
842473.8%
 
601983.1%
 
701862.9%
 
591852.9%
 
531852.9%
 
561802.8%
 
661772.8%
 
751702.6%
 
761642.5%
 
921572.4%
 
441522.4%
 
801462.3%
 
461372.1%
 
791352.1%
 
821322.1%
 
781241.9%
 
741191.8%
 
501181.8%
 
571161.8%
 
Other values (25)116418.1%
 
ValueCountFrequency (%) 
4090.1%
 
41140.2%
 
42350.5%
 
43480.7%
 
441522.4%
 
461372.1%
 
47661.0%
 
48380.6%
 
49651.0%
 
501181.8%
 
ValueCountFrequency (%) 
1041< 0.1%
 
1021< 0.1%
 
101110.2%
 
9960.1%
 
97470.7%
 
96270.4%
 
95210.3%
 
93821.3%
 
921572.4%
 
90651.0%
 

attr18
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count80
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.17109557109558
Minimum27.0
Maximum130.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:45.103643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q171
median85
Q3103
95-th percentile112
Maximum130
Range103
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.90506493
Coefficient of variation (CV)0.2753969365
Kurtosis-0.2593268305
Mean83.17109557
Median Absolute Deviation (MAD)16
Skewness-0.6595107293
Sum535206
Variance524.6419993
2020-08-24T23:57:45.204638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
793345.2%
 
753305.1%
 
1032764.3%
 
1112694.2%
 
1072283.5%
 
992253.5%
 
912063.2%
 
952013.1%
 
831943.0%
 
711903.0%
 
1061862.9%
 
871742.7%
 
731612.5%
 
1121542.4%
 
771492.3%
 
341412.2%
 
1021362.1%
 
841282.0%
 
881201.9%
 
811191.8%
 
31951.5%
 
32931.4%
 
104891.4%
 
115861.3%
 
100841.3%
 
Other values (55)206732.1%
 
ValueCountFrequency (%) 
27120.2%
 
29550.9%
 
30150.2%
 
31951.5%
 
32931.4%
 
341412.2%
 
36170.3%
 
37721.1%
 
3940.1%
 
40320.5%
 
ValueCountFrequency (%) 
1301< 0.1%
 
1282< 0.1%
 
1272< 0.1%
 
1263< 0.1%
 
12550.1%
 
1232< 0.1%
 
1221< 0.1%
 
12180.1%
 
120240.4%
 
118150.2%
 

attr10
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count81
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.89308469308469
Minimum27.0
Maximum130.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:45.314337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q171
median85
Q3102
95-th percentile112
Maximum130
Range103
Interquartile range (IQR)31

Descriptive statistics

Standard deviation22.86225475
Coefficient of variation (CV)0.2758041257
Kurtosis-0.2860314297
Mean82.89308469
Median Absolute Deviation (MAD)15
Skewness-0.6494845232
Sum533417
Variance522.6826923
2020-08-24T23:57:45.412081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
793325.2%
 
753114.8%
 
1112684.2%
 
1032463.8%
 
1072263.5%
 
992173.4%
 
912153.3%
 
952013.1%
 
1062013.1%
 
711923.0%
 
831903.0%
 
871732.7%
 
731652.6%
 
1121542.4%
 
771532.4%
 
341442.2%
 
1021362.1%
 
811312.0%
 
841292.0%
 
881272.0%
 
31911.4%
 
32881.4%
 
100861.3%
 
104811.3%
 
115801.2%
 
Other values (56)209832.6%
 
ValueCountFrequency (%) 
27100.2%
 
281< 0.1%
 
29560.9%
 
30150.2%
 
31911.4%
 
32881.4%
 
341442.2%
 
36170.3%
 
37761.2%
 
3950.1%
 
ValueCountFrequency (%) 
1301< 0.1%
 
1281< 0.1%
 
1271< 0.1%
 
1261< 0.1%
 
12540.1%
 
1232< 0.1%
 
1222< 0.1%
 
12190.1%
 
120230.4%
 
118120.2%
 

attr35
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count77
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.92602952602952
Minimum50.0
Maximum145.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:45.520291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile72
Q185
median100
Q3113
95-th percentile124
Maximum145
Range95
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.69548804
Coefficient of variation (CV)0.1687673923
Kurtosis-0.9179709624
Mean98.92602953
Median Absolute Deviation (MAD)14
Skewness-0.1076417396
Sum636589
Variance278.7393208
2020-08-24T23:57:45.620047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1042814.4%
 
1142433.8%
 
962263.5%
 
822233.5%
 
1002193.4%
 
1132113.3%
 
1052023.1%
 
1081872.9%
 
931872.9%
 
1181822.8%
 
1221772.8%
 
1101702.6%
 
741622.5%
 
1191542.4%
 
1011482.3%
 
851442.2%
 
1121392.2%
 
971372.1%
 
901342.1%
 
781312.0%
 
891292.0%
 
751292.0%
 
1091251.9%
 
861181.8%
 
1151171.8%
 
Other values (52)216033.6%
 
ValueCountFrequency (%) 
501< 0.1%
 
532< 0.1%
 
563< 0.1%
 
571< 0.1%
 
581< 0.1%
 
6050.1%
 
6270.1%
 
6390.1%
 
6440.1%
 
6570.1%
 
ValueCountFrequency (%) 
1451< 0.1%
 
1401< 0.1%
 
139110.2%
 
13870.1%
 
13660.1%
 
13570.1%
 
13490.1%
 
133240.4%
 
131180.3%
 
130210.3%
 

attr1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count51
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.4
Minimum39.0
Maximum104.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:45.733701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile46
Q160
median68
Q380
95-th percentile92
Maximum104
Range65
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.60587149
Coefficient of variation (CV)0.1960500214
Kurtosis-0.7170802666
Mean69.4
Median Absolute Deviation (MAD)10
Skewness0.02239958093
Sum446589
Variance185.1197389
2020-08-24T23:57:45.856120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
674957.7%
 
634517.0%
 
713355.2%
 
883124.8%
 
683094.8%
 
642974.6%
 
842503.9%
 
591892.9%
 
531862.9%
 
701852.9%
 
601832.8%
 
751762.7%
 
661732.7%
 
921722.7%
 
761712.7%
 
561672.6%
 
801562.4%
 
441462.3%
 
821382.1%
 
461382.1%
 
791342.1%
 
741312.0%
 
781292.0%
 
571241.9%
 
501141.8%
 
Other values (26)117418.2%
 
ValueCountFrequency (%) 
391< 0.1%
 
4080.1%
 
41130.2%
 
42320.5%
 
43470.7%
 
441462.3%
 
461382.1%
 
47631.0%
 
48360.6%
 
49621.0%
 
ValueCountFrequency (%) 
1041< 0.1%
 
1022< 0.1%
 
101130.2%
 
9980.1%
 
97600.9%
 
96300.5%
 
95230.4%
 
93911.4%
 
921722.7%
 
90731.1%
 

attr5
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count51
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.15027195027196
Minimum39.0
Maximum104.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:45.975206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile46
Q160
median68
Q380
95-th percentile92
Maximum104
Range65
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.56119741
Coefficient of variation (CV)0.1961119895
Kurtosis-0.7111452927
Mean69.15027195
Median Absolute Deviation (MAD)10
Skewness0.03617348552
Sum444982
Variance183.9060751
2020-08-24T23:57:46.089774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
675037.8%
 
634577.1%
 
713315.1%
 
683104.8%
 
883094.8%
 
643034.7%
 
842423.8%
 
602013.1%
 
531862.9%
 
591852.9%
 
661782.8%
 
701772.8%
 
561742.7%
 
761732.7%
 
751712.7%
 
921702.6%
 
441552.4%
 
801482.3%
 
791392.2%
 
821362.1%
 
461312.0%
 
741282.0%
 
781251.9%
 
501181.8%
 
571181.8%
 
Other values (26)116718.1%
 
ValueCountFrequency (%) 
391< 0.1%
 
4080.1%
 
41120.2%
 
42360.6%
 
43470.7%
 
441552.4%
 
461312.0%
 
47621.0%
 
48370.6%
 
49661.0%
 
ValueCountFrequency (%) 
1041< 0.1%
 
1022< 0.1%
 
101130.2%
 
9970.1%
 
97530.8%
 
96290.5%
 
95210.3%
 
93831.3%
 
921702.6%
 
90681.1%
 

attr30
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count81
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.14560994560995
Minimum27.0
Maximum130.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:46.208256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q171
median85
Q3103
95-th percentile112
Maximum130
Range103
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.84719878
Coefficient of variation (CV)0.2747853891
Kurtosis-0.2389844723
Mean83.14560995
Median Absolute Deviation (MAD)15
Skewness-0.6601707059
Sum535042
Variance521.9944923
2020-08-24T23:57:46.306223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
793415.3%
 
753405.3%
 
1112714.2%
 
1032594.0%
 
992233.5%
 
1072123.3%
 
912123.3%
 
712003.1%
 
951953.0%
 
871943.0%
 
831862.9%
 
1061832.8%
 
731582.5%
 
771512.3%
 
341412.2%
 
1121402.2%
 
841332.1%
 
1021302.0%
 
811241.9%
 
881141.8%
 
1041041.6%
 
32941.5%
 
31921.4%
 
100891.4%
 
109891.4%
 
Other values (56)206032.0%
 
ValueCountFrequency (%) 
27120.2%
 
281< 0.1%
 
29560.9%
 
30170.3%
 
31921.4%
 
32941.5%
 
341412.2%
 
36160.2%
 
37681.1%
 
3950.1%
 
ValueCountFrequency (%) 
1301< 0.1%
 
1282< 0.1%
 
1272< 0.1%
 
1262< 0.1%
 
12560.1%
 
1232< 0.1%
 
1222< 0.1%
 
12180.1%
 
120220.3%
 
118200.3%
 

attr16
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count101
Unique (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.64491064491064
Minimum29.0
Maximum154.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:46.419707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile57
Q169
median81
Q392
95-th percentile125
Maximum154
Range125
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.93198902
Coefficient of variation (CV)0.229076284
Kurtosis1.207426687
Mean82.64491064
Median Absolute Deviation (MAD)11
Skewness0.8797306474
Sum531820
Variance358.4202084
2020-08-24T23:57:46.529627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
833625.6%
 
873225.0%
 
792784.3%
 
922674.1%
 
962574.0%
 
942323.6%
 
851993.1%
 
811963.0%
 
901752.7%
 
781672.6%
 
761602.5%
 
741472.3%
 
671452.3%
 
751452.3%
 
721452.3%
 
591422.2%
 
701392.2%
 
581302.0%
 
631251.9%
 
621241.9%
 
981231.9%
 
681191.8%
 
881151.8%
 
651121.7%
 
571101.7%
 
Other values (76)199931.1%
 
ValueCountFrequency (%) 
291< 0.1%
 
331< 0.1%
 
342< 0.1%
 
371< 0.1%
 
413< 0.1%
 
4260.1%
 
4490.1%
 
4550.1%
 
4660.1%
 
4880.1%
 
ValueCountFrequency (%) 
1541< 0.1%
 
15140.1%
 
15060.1%
 
1472< 0.1%
 
14690.1%
 
14460.1%
 
143150.2%
 
14290.1%
 
1413< 0.1%
 
140110.2%
 

attr20
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count104
Unique (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.6032634032634
Minimum29.0
Maximum157.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:46.653176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile57
Q169
median81
Q392
95-th percentile125
Maximum157
Range128
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.0355431
Coefficient of variation (CV)0.2304454124
Kurtosis1.199657368
Mean82.6032634
Median Absolute Deviation (MAD)11
Skewness0.885559682
Sum531552
Variance362.3519011
2020-08-24T23:57:46.764171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
833635.6%
 
873245.0%
 
792734.2%
 
922684.2%
 
962554.0%
 
942283.5%
 
851963.0%
 
811832.8%
 
901732.7%
 
781692.6%
 
761602.5%
 
671522.4%
 
751462.3%
 
741412.2%
 
591402.2%
 
701402.2%
 
721392.2%
 
581332.1%
 
631272.0%
 
981272.0%
 
621221.9%
 
681201.9%
 
651191.8%
 
571171.8%
 
881151.8%
 
Other values (79)200531.2%
 
ValueCountFrequency (%) 
291< 0.1%
 
331< 0.1%
 
341< 0.1%
 
371< 0.1%
 
381< 0.1%
 
391< 0.1%
 
413< 0.1%
 
4260.1%
 
44100.2%
 
4560.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1541< 0.1%
 
15140.1%
 
15040.1%
 
1472< 0.1%
 
146110.2%
 
14460.1%
 
143150.2%
 
142100.2%
 
14140.1%
 

attr6
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count82
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.24351204351204
Minimum27.0
Maximum137.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:47.048827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile34
Q171
median85
Q3103
95-th percentile112
Maximum137
Range110
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.88649472
Coefficient of variation (CV)0.2749342761
Kurtosis-0.2665759428
Mean83.24351204
Median Absolute Deviation (MAD)16
Skewness-0.6559537175
Sum535672
Variance523.7916408
2020-08-24T23:57:47.147011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
753184.9%
 
793174.9%
 
1112654.1%
 
1032473.8%
 
992283.5%
 
1072253.5%
 
912123.3%
 
1062043.2%
 
952013.1%
 
711872.9%
 
831852.9%
 
871712.7%
 
731632.5%
 
1121552.4%
 
771492.3%
 
1021452.3%
 
341422.2%
 
841392.2%
 
811231.9%
 
881191.8%
 
31911.4%
 
32891.4%
 
115871.4%
 
104851.3%
 
108801.2%
 
Other values (57)210832.8%
 
ValueCountFrequency (%) 
27110.2%
 
281< 0.1%
 
29510.8%
 
30150.2%
 
31911.4%
 
32891.4%
 
341422.2%
 
36160.2%
 
37741.1%
 
3950.1%
 
ValueCountFrequency (%) 
1371< 0.1%
 
1301< 0.1%
 
1282< 0.1%
 
1272< 0.1%
 
12640.1%
 
12550.1%
 
1231< 0.1%
 
1221< 0.1%
 
12190.1%
 
120240.4%
 

attr12
Real number (ℝ≥0)

Distinct count104
Unique (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.38818958818959
Minimum29.0
Maximum157.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:47.268770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile57
Q168
median81
Q392
95-th percentile125
Maximum157
Range128
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.98111189
Coefficient of variation (CV)0.2303863209
Kurtosis1.277343254
Mean82.38818959
Median Absolute Deviation (MAD)11
Skewness0.9187090837
Sum530168
Variance360.2826084
2020-08-24T23:57:47.378843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
833675.7%
 
873455.4%
 
792864.4%
 
922403.7%
 
962243.5%
 
942223.4%
 
851953.0%
 
811842.9%
 
901742.7%
 
781712.7%
 
761662.6%
 
671552.4%
 
721462.3%
 
681402.2%
 
581392.2%
 
751372.1%
 
591362.1%
 
621352.1%
 
701352.1%
 
741342.1%
 
651302.0%
 
881201.9%
 
981201.9%
 
631181.8%
 
571151.8%
 
Other values (79)200131.1%
 
ValueCountFrequency (%) 
291< 0.1%
 
331< 0.1%
 
342< 0.1%
 
371< 0.1%
 
381< 0.1%
 
391< 0.1%
 
413< 0.1%
 
4240.1%
 
4480.1%
 
4560.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1541< 0.1%
 
1513< 0.1%
 
15060.1%
 
1472< 0.1%
 
146110.2%
 
14460.1%
 
143160.2%
 
142100.2%
 
14150.1%
 

target
Real number (ℝ≥0)

Distinct count6
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6686868686868688
Minimum1.0
Maximum7.0
Zeros0
Zeros (%)0.0%
Memory size50.4 KiB
2020-08-24T23:57:47.495167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.214052121
Coefficient of variation (CV)0.6034998899
Kurtosis-1.24417209
Mean3.668686869
Median Absolute Deviation (MAD)2
Skewness0.3528573905
Sum23608
Variance4.902026796
2020-08-24T23:57:47.613734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1153323.8%
 
7150823.4%
 
3135821.1%
 
570711.0%
 
270310.9%
 
46269.7%
 
ValueCountFrequency (%) 
1153323.8%
 
270310.9%
 
3135821.1%
 
46269.7%
 
570711.0%
 
7150823.4%
 
ValueCountFrequency (%) 
7150823.4%
 
570711.0%
 
46269.7%
 
3135821.1%
 
270310.9%
 
1153323.8%
 

Interactions

2020-08-24T23:56:43.138531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:43.288011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:43.429484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:43.570267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:43.871998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.017269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.163923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.302692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.448687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.593865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.737791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:44.873996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:45.011285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:45.157313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:45.300972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:45.438102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:45.582609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:56:45.735064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-24T23:57:15.804874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:15.944622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.081613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.211852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.354644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.490250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.619548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.754446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:16.882595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.019390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.158156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.290301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.426288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.562411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.699228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.837347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:17.973985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:18.300465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:18.441392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:18.584628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:18.725914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:18.871136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.017006image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.158711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.306218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.452457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.594761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.736963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:19.878033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.029962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.177840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.318243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.465294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.612160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.757508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:20.904319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.050397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.198269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.346581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.485995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.625221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.775397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:21.926515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:22.065321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:22.214711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:22.363732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:22.687061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:22.828216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:22.966964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:23.111484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:23.258495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:23.398112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:23.549336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:23.704319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:23.855158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.007658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.163698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.300458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.431296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.558926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.686840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.823242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:24.959989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.087122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.221660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.358420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.484982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.610769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.738266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:25.877808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.011876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.139584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.274639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.411474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.542572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.684610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:26.999342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:27.144345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:27.286606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:27.429789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:27.569161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:27.714265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:27.870096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.015432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.161780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.309355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.454009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.593670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.732354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:28.882474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.029789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.173160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.322844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.474154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.616592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.766783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:29.917703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.066369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.213738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.352518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.493973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.642831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.789964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:30.932348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:31.081218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:31.396914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:31.552323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:31.691014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:31.829863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:31.977446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:32.123822image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:32.263775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:32.412478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:32.561141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:32.705717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:32.851388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.001387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.157584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.295774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.438143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.575207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.716789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:33.861053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.002634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.142937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.284949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.419656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.555669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.689672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.832283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:34.974970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:35.114695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:35.258762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:35.399207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:35.705945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:35.846075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:35.987072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:36.140220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:36.282221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:36.429441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:36.576165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:36.723780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:36.871570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.012074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.160435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.307534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.446860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.588436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.728686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:37.876106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.024628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.164213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.311773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.460849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.607262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.758357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:38.905485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:39.050969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:39.198463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:39.345375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:39.483738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:39.635626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:39.782038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.103365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.249615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.395529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.555714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.698934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.846567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:40.992471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:41.144105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:41.282664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:41.429447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:41.577904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:41.724102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:41.869082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-24T23:57:47.772406image/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.
2020-08-24T23:57:48.092354image/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.
2020-08-24T23:57:48.418648image/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.
2020-08-24T23:57:48.758085image/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

2020-08-24T23:57:42.180957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T23:57:42.676443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

attr36attr14attr27attr31attr17attr32attr22attr13attr9attr18attr10attr35attr1attr5attr30attr16attr20attr6attr12target
087.0126.0134.0128.092.0100.0103.0101.084.0112.0102.0113.092.084.0121.0103.085.0102.083.03.0
179.0112.0128.0113.084.087.099.092.080.0103.0102.0104.084.084.0107.085.081.0102.079.03.0
279.0103.0113.0104.084.079.099.084.084.099.094.0104.084.080.099.081.078.0102.079.03.0
379.099.0104.0104.084.079.099.084.080.099.094.0104.080.084.099.078.081.094.076.03.0
487.099.0104.0104.076.079.099.084.080.099.0102.0109.084.080.0103.081.081.094.079.03.0
587.099.0104.0109.076.087.0103.076.076.099.0102.0109.080.080.0107.081.085.0102.079.03.0
679.0107.0113.0104.080.083.0107.080.080.0112.098.0104.076.076.0103.088.088.0102.079.03.0
779.0112.0104.0104.080.079.095.080.076.0107.094.0100.076.080.0103.088.085.098.076.03.0
871.095.096.096.076.071.095.080.076.091.098.093.076.076.091.074.074.094.072.04.0
967.091.096.093.076.071.091.076.076.095.094.093.076.076.087.074.078.098.076.04.0

Last rows

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