Dataset statistics
Number of variables | 5 |
---|---|
Number of observations | 100 |
Missing cells | 0 |
Missing cells (%) | 0.0% |
Duplicate rows | 0 |
Duplicate rows (%) | 0.0% |
Total size in memory | 4.0 KiB |
Average record size in memory | 41.3 B |
Variable types
Numeric | 5 |
---|
a has unique values | Unique |
b has unique values | Unique |
c has unique values | Unique |
d has unique values | Unique |
e has unique values | Unique |
Reproduction
Analysis started | 2021-03-08 10:28:28.495818 |
---|---|
Analysis finished | 2021-03-08 10:28:37.743131 |
Duration | 9.25 seconds |
Software version | pandas-profiling v2.11.0 |
Download configuration | config.yaml |
Distinct | 100 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 0.503908377 |
---|---|
Minimum | 0.004618840841 |
Maximum | 0.9948559816 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 928.0 B |
Quantile statistics
Minimum | 0.004618840841 |
---|---|
5-th percentile | 0.0573866932 |
Q1 | 0.229849404 |
median | 0.4927939253 |
Q3 | 0.7958781147 |
95-th percentile | 0.9645882588 |
Maximum | 0.9948559816 |
Range | 0.9902371408 |
Interquartile range (IQR) | 0.5660287107 |
Descriptive statistics
Standard deviation | 0.3031917027 |
---|---|
Coefficient of variation (CV) | 0.6016802191 |
Kurtosis | -1.316606168 |
Mean | 0.503908377 |
Median Absolute Deviation (MAD) | 0.2715844108 |
Skewness | -0.03265297869 |
Sum | 50.3908377 |
Variance | 0.09192520858 |
Monotocity | Not monotonic |
Value | Count | Frequency (%) |
0.492222013 | 1 | 1.0% |
0.8259258141 | 1 | 1.0% |
0.6214627447 | 1 | 1.0% |
0.4941692419 | 1 | 1.0% |
0.7997209243 | 1 | 1.0% |
0.6502111542 | 1 | 1.0% |
0.4933658376 | 1 | 1.0% |
0.4558190904 | 1 | 1.0% |
0.3223939325 | 1 | 1.0% |
0.2796189859 | 1 | 1.0% |
Other values (90) | 90 |
Value | Count | Frequency (%) |
0.004618840841 | 1 | |
0.01132563186 | 1 | |
0.01639552057 | 1 | |
0.03096723022 | 1 | |
0.03128953882 | 1 |
Value | Count | Frequency (%) |
0.9948559816 | 1 | |
0.97987841 | 1 | |
0.9793969653 | 1 | |
0.9736460777 | 1 | |
0.9690324864 | 1 |
Distinct | 100 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 0.502991704 |
---|---|
Minimum | 0.008135430083 |
Maximum | 0.9938126032 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 928.0 B |
Quantile statistics
Minimum | 0.008135430083 |
---|---|
5-th percentile | 0.0425373174 |
Q1 | 0.2457610022 |
median | 0.4940385167 |
Q3 | 0.8061123021 |
95-th percentile | 0.9609461044 |
Maximum | 0.9938126032 |
Range | 0.9856771731 |
Interquartile range (IQR) | 0.5603512999 |
Descriptive statistics
Standard deviation | 0.307379033 |
---|---|
Coefficient of variation (CV) | 0.6111015959 |
Kurtosis | -1.268545649 |
Mean | 0.502991704 |
Median Absolute Deviation (MAD) | 0.3028872137 |
Skewness | 0.03064148551 |
Sum | 50.2991704 |
Variance | 0.09448186994 |
Monotocity | Not monotonic |
Value | Count | Frequency (%) |
0.008135430083 | 1 | 1.0% |
0.3017528153 | 1 | 1.0% |
0.7966725452 | 1 | 1.0% |
0.4021483522 | 1 | 1.0% |
0.4971658774 | 1 | 1.0% |
0.1637774292 | 1 | 1.0% |
0.5281517907 | 1 | 1.0% |
0.3976859931 | 1 | 1.0% |
0.04287387763 | 1 | 1.0% |
0.6484906903 | 1 | 1.0% |
Other values (90) | 90 |
Value | Count | Frequency (%) |
0.008135430083 | 1 | |
0.01162152645 | 1 | |
0.02592362188 | 1 | |
0.0355637753 | 1 | |
0.03614267317 | 1 |
Value | Count | Frequency (%) |
0.9938126032 | 1 | |
0.9811476346 | 1 | |
0.9764552522 | 1 | |
0.9638906852 | 1 | |
0.9613993827 | 1 |
Distinct | 100 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 0.533270135 |
---|---|
Minimum | 0.02787588429 |
Maximum | 0.9974024938 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 928.0 B |
Quantile statistics
Minimum | 0.02787588429 |
---|---|
5-th percentile | 0.08734609577 |
Q1 | 0.3244676278 |
median | 0.5388050814 |
Q3 | 0.7367601396 |
95-th percentile | 0.9826822791 |
Maximum | 0.9974024938 |
Range | 0.9695266095 |
Interquartile range (IQR) | 0.4122925118 |
Descriptive statistics
Standard deviation | 0.2752608518 |
---|---|
Coefficient of variation (CV) | 0.5161752622 |
Kurtosis | -0.9748851823 |
Mean | 0.533270135 |
Median Absolute Deviation (MAD) | 0.2018406793 |
Skewness | -0.08754946889 |
Sum | 53.3270135 |
Variance | 0.07576853652 |
Monotocity | Not monotonic |
Value | Count | Frequency (%) |
0.1769272614 | 1 | 1.0% |
0.7464686128 | 1 | 1.0% |
0.9140032823 | 1 | 1.0% |
0.7115744152 | 1 | 1.0% |
0.9262724651 | 1 | 1.0% |
0.3258010631 | 1 | 1.0% |
0.9491191935 | 1 | 1.0% |
0.705763369 | 1 | 1.0% |
0.6341318404 | 1 | 1.0% |
0.1401417588 | 1 | 1.0% |
Other values (90) | 90 |
Value | Count | Frequency (%) |
0.02787588429 | 1 | |
0.03099609769 | 1 | |
0.0595528335 | 1 | |
0.06383880856 | 1 | |
0.07657082545 | 1 |
Value | Count | Frequency (%) |
0.9974024938 | 1 | |
0.9895713607 | 1 | |
0.9877031192 | 1 | |
0.9864703503 | 1 | |
0.9831947511 | 1 |
Distinct | 100 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 0.5226326021 |
---|---|
Minimum | 0.001663493784 |
Maximum | 0.9768211003 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 928.0 B |
Quantile statistics
Minimum | 0.001663493784 |
---|---|
5-th percentile | 0.01665174555 |
Q1 | 0.2609049967 |
median | 0.527300767 |
Q3 | 0.7958739524 |
95-th percentile | 0.949768511 |
Maximum | 0.9768211003 |
Range | 0.9751576065 |
Interquartile range (IQR) | 0.5349689558 |
Descriptive statistics
Standard deviation | 0.3048124497 |
---|---|
Coefficient of variation (CV) | 0.5832250963 |
Kurtosis | -1.175158771 |
Mean | 0.5226326021 |
Median Absolute Deviation (MAD) | 0.2697336556 |
Skewness | -0.170068292 |
Sum | 52.26326021 |
Variance | 0.09291062949 |
Monotocity | Not monotonic |
Value | Count | Frequency (%) |
0.4371440403 | 1 | 1.0% |
0.2493370867 | 1 | 1.0% |
0.8143973725 | 1 | 1.0% |
0.6787783501 | 1 | 1.0% |
0.2401921199 | 1 | 1.0% |
0.7939343709 | 1 | 1.0% |
0.8366201316 | 1 | 1.0% |
0.5401815202 | 1 | 1.0% |
0.0284933881 | 1 | 1.0% |
0.9768211003 | 1 | 1.0% |
Other values (90) | 90 |
Value | Count | Frequency (%) |
0.001663493784 | 1 | |
0.002429415707 | 1 | |
0.0107756085 | 1 | |
0.01275979108 | 1 | |
0.01288492 | 1 |
Value | Count | Frequency (%) |
0.9768211003 | 1 | |
0.9751080753 | 1 | |
0.9745931732 | 1 | |
0.9693160791 | 1 | |
0.9503553761 | 1 |
Distinct | 100 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 0.4746799421 |
---|---|
Minimum | 0.01237932359 |
Maximum | 0.9946648478 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 928.0 B |
Quantile statistics
Minimum | 0.01237932359 |
---|---|
5-th percentile | 0.05180923674 |
Q1 | 0.2213758844 |
median | 0.4563179298 |
Q3 | 0.7060146665 |
95-th percentile | 0.9451546058 |
Maximum | 0.9946648478 |
Range | 0.9822855243 |
Interquartile range (IQR) | 0.4846387821 |
Descriptive statistics
Standard deviation | 0.2930111619 |
---|---|
Coefficient of variation (CV) | 0.617281532 |
Kurtosis | -1.191685664 |
Mean | 0.4746799421 |
Median Absolute Deviation (MAD) | 0.2443353164 |
Skewness | 0.09865670732 |
Sum | 47.46799421 |
Variance | 0.085855541 |
Monotocity | Not monotonic |
Value | Count | Frequency (%) |
0.8954578936 | 1 | 1.0% |
0.9756806151 | 1 | 1.0% |
0.06439842133 | 1 | 1.0% |
0.5382605987 | 1 | 1.0% |
0.3716279243 | 1 | 1.0% |
0.6887430866 | 1 | 1.0% |
0.05226614649 | 1 | 1.0% |
0.3954531055 | 1 | 1.0% |
0.05675691612 | 1 | 1.0% |
0.3079928748 | 1 | 1.0% |
Other values (90) | 90 |
Value | Count | Frequency (%) |
0.01237932359 | 1 | |
0.0194737143 | 1 | |
0.02293926738 | 1 | |
0.02351243916 | 1 | |
0.04312795163 | 1 |
Value | Count | Frequency (%) |
0.9946648478 | 1 | |
0.9756806151 | 1 | |
0.9698074444 | 1 | |
0.9520200467 | 1 | |
0.9504440034 | 1 |
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.
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.
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.
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.First rows
a | b | c | d | e | |
---|---|---|---|---|---|
0 | 0.217478 | 0.055103 | 0.536073 | 0.016850 | 0.059588 |
1 | 0.616448 | 0.140932 | 0.596031 | 0.844206 | 0.459302 |
2 | 0.741943 | 0.248941 | 0.485407 | 0.799355 | 0.723326 |
3 | 0.126302 | 0.148725 | 0.598303 | 0.511774 | 0.112611 |
4 | 0.230895 | 0.122043 | 0.744351 | 0.182043 | 0.950444 |
5 | 0.265413 | 0.086713 | 0.459692 | 0.039601 | 0.788174 |
6 | 0.004619 | 0.097265 | 0.450541 | 0.510044 | 0.944876 |
7 | 0.861936 | 0.674451 | 0.343800 | 0.002429 | 0.285993 |
8 | 0.822483 | 0.568061 | 0.425310 | 0.351730 | 0.702625 |
9 | 0.794597 | 0.048395 | 0.859247 | 0.781511 | 0.895458 |
Last rows
a | b | c | d | e | |
---|---|---|---|---|---|
90 | 0.058760 | 0.225653 | 0.508717 | 0.949738 | 0.149538 |
91 | 0.973646 | 0.912131 | 0.700025 | 0.101490 | 0.270646 |
92 | 0.893534 | 0.271964 | 0.181576 | 0.713691 | 0.392824 |
93 | 0.775806 | 0.051574 | 0.648272 | 0.149495 | 0.395453 |
94 | 0.408722 | 0.480842 | 0.346753 | 0.195286 | 0.591826 |
95 | 0.651399 | 0.378743 | 0.170211 | 0.880250 | 0.673811 |
96 | 0.455819 | 0.833746 | 0.941473 | 0.832700 | 0.077265 |
97 | 0.799957 | 0.875586 | 0.251382 | 0.916071 | 0.744029 |
98 | 0.330841 | 0.673676 | 0.831134 | 0.976821 | 0.530809 |
99 | 0.113169 | 0.961399 | 0.769719 | 0.475008 | 0.643093 |