Pandas Profiling Report

Dataset statistics

Number of variables	10
Number of observations	77096
Missing cells	168060
Missing cells (%)	21.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.9 MiB
Average record size in memory	80.0 B

Variable types

Numeric	10

Alerts

`review_scores_rating` is highly overall correlated with `review_scores_comfort` and 5 other fields	High correlation
`review_scores_comfort` is highly overall correlated with `review_scores_rating` and 5 other fields	High correlation
`review_scores_amenities` is highly overall correlated with `review_scores_rating` and 4 other fields	High correlation
`review_scores_trip` is highly overall correlated with `review_scores_rating` and 4 other fields	High correlation
`review_scores_crew` is highly overall correlated with `review_scores_rating` and 5 other fields	High correlation
`review_scores_price` is highly overall correlated with `review_scores_rating` and 5 other fields	High correlation
`number_of_reviews` is highly overall correlated with `reviews_per_month`	High correlation
`reviews_per_month` is highly overall correlated with `number_of_reviews`	High correlation
`review_scores_location` is highly overall correlated with `review_scores_rating` and 3 other fields	High correlation
`review_scores_rating` has 21140 (27.4%) missing values	Missing
`review_scores_comfort` has 21200 (27.5%) missing values	Missing
`review_scores_amenities` has 21187 (27.5%) missing values	Missing
`review_scores_trip` has 21263 (27.6%) missing values	Missing
`review_scores_crew` has 21194 (27.5%) missing values	Missing
`review_scores_location` has 21265 (27.6%) missing values	Missing
`review_scores_price` has 21268 (27.6%) missing values	Missing
`reviews_per_month` has 19543 (25.3%) missing values	Missing
`shuttle_id` is uniformly distributed	Uniform
`shuttle_id` has unique values	Unique
`number_of_reviews` has 19400 (25.2%) zeros	Zeros

Reproduction

Analysis started	2022-11-24 10:38:24.288959
Analysis finished	2022-11-24 10:38:47.073557
Duration	22.78 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

shuttle_id
Real number (ℝ)

UNIFORM
UNIQUE

Distinct	77096
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38548.5

Minimum	1
Maximum	77096
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3855.75
Q1	19274.75
median	38548.5
Q3	57822.25
95-th percentile	73241.25
Maximum	77096
Range	77095
Interquartile range (IQR)	38547.5

Descriptive statistics

Standard deviation	22255.843
Coefficient of variation (CV)	0.57734652
Kurtosis	-1.2
Mean	38548.5
Median Absolute Deviation (MAD)	19274
Skewness	1.7649979 × 10^-18
Sum	2.9719352 × 10⁹
Variance	4.9532253 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
63561	1	< 0.1%
25124	1	< 0.1%
44449	1	< 0.1%
4748	1	< 0.1%
30795	1	< 0.1%
8614	1	< 0.1%
62491	1	< 0.1%
40429	1	< 0.1%
20507	1	< 0.1%
24295	1	< 0.1%
Other values (77086)	77086	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
77096	1	< 0.1%
77095	1	< 0.1%
77094	1	< 0.1%
77093	1	< 0.1%
77092	1	< 0.1%
77091	1	< 0.1%
77090	1	< 0.1%
77089	1	< 0.1%
77088	1	< 0.1%
77087	1	< 0.1%

review_scores_rating
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	55
Distinct (%)	0.1%
Missing	21140
Missing (%)	27.4%
Infinite	0
Infinite (%)	0.0%
Mean	92.760473

Minimum	20
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	20
5-th percentile	78
Q1	90
median	96
Q3	100
95-th percentile	100
Maximum	100
Range	80
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	9.7597506
Coefficient of variation (CV)	0.10521454
Kurtosis	15.005726
Mean	92.760473
Median Absolute Deviation (MAD)	4
Skewness	-3.0846607
Sum	5190505
Variance	95.252732
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	16274	21.1%
98	3536	4.6%
97	3341	4.3%
93	3291	4.3%
96	3278	4.3%
90	3064	4.0%
95	3042	3.9%
80	2981	3.9%
94	2080	2.7%
99	2034	2.6%
Other values (45)	13035	16.9%
(Missing)	21140	27.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	212	0.3%
27	1	< 0.1%
30	6	< 0.1%
33	1	< 0.1%
40	176	0.2%
45	1	< 0.1%
47	14	< 0.1%
48	2	< 0.1%
50	74	0.1%
52	3	< 0.1%

Value	Count	Frequency (%)
100	16274	21.1%
99	2034	2.6%
98	3536	4.6%
97	3341	4.3%
96	3278	4.3%
95	3042	3.9%
94	2080	2.7%
93	3291	4.3%
92	1702	2.2%
91	1502	1.9%

review_scores_comfort
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	21200
Missing (%)	27.5%
Infinite	0
Infinite (%)	0.0%
Mean	9.517461

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	9
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.95591115
Coefficient of variation (CV)	0.10043762
Kurtosis	19.913285
Mean	9.517461
Median Absolute Deviation (MAD)	0
Skewness	-3.6651314
Sum	531988
Variance	0.91376613
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
10	38081	49.4%
9	12759	16.5%
8	3348	4.3%
7	648	0.8%
6	586	0.8%
2	236	0.3%
4	135	0.2%
5	95	0.1%
3	8	< 0.1%
(Missing)	21200	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	236	0.3%
3	8	< 0.1%
4	135	0.2%
5	95	0.1%
6	586	0.8%
7	648	0.8%
8	3348	4.3%
9	12759	16.5%
10	38081	49.4%

Value	Count	Frequency (%)
10	38081	49.4%
9	12759	16.5%
8	3348	4.3%
7	648	0.8%
6	586	0.8%
5	95	0.1%
4	135	0.2%
3	8	< 0.1%
2	236	0.3%

review_scores_amenities
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	21187
Missing (%)	27.5%
Infinite	0
Infinite (%)	0.0%
Mean	9.2805094

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	2
5-th percentile	7
Q1	9
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1220804
Coefficient of variation (CV)	0.1209072
Kurtosis	10.852266
Mean	9.2805094
Median Absolute Deviation (MAD)	0
Skewness	-2.7028513
Sum	518864
Variance	1.2590644
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
10	31261	40.5%
9	15734	20.4%
8	5785	7.5%
7	1427	1.9%
6	979	1.3%
2	272	0.4%
4	258	0.3%
5	175	0.2%
3	18	< 0.1%
(Missing)	21187	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	272	0.4%
3	18	< 0.1%
4	258	0.3%
5	175	0.2%
6	979	1.3%
7	1427	1.9%
8	5785	7.5%
9	15734	20.4%
10	31261	40.5%

Value	Count	Frequency (%)
10	31261	40.5%
9	15734	20.4%
8	5785	7.5%
7	1427	1.9%
6	979	1.3%
5	175	0.2%
4	258	0.3%
3	18	< 0.1%
2	272	0.4%

review_scores_trip
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	21263
Missing (%)	27.6%
Infinite	0
Infinite (%)	0.0%
Mean	9.6399441

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.86514388
Coefficient of variation (CV)	0.089745736
Kurtosis	26.937725
Mean	9.6399441
Median Absolute Deviation (MAD)	0
Skewness	-4.3361867
Sum	538227
Variance	0.74847393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
10	42622	55.3%
9	9604	12.5%
8	2241	2.9%
7	532	0.7%
6	451	0.6%
2	191	0.2%
4	117	0.2%
5	69	0.1%
3	6	< 0.1%
(Missing)	21263	27.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	191	0.2%
3	6	< 0.1%
4	117	0.2%
5	69	0.1%
6	451	0.6%
7	532	0.7%
8	2241	2.9%
9	9604	12.5%
10	42622	55.3%

Value	Count	Frequency (%)
10	42622	55.3%
9	9604	12.5%
8	2241	2.9%
7	532	0.7%
6	451	0.6%
5	69	0.1%
4	117	0.2%
3	6	< 0.1%
2	191	0.2%

review_scores_crew
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	21194
Missing (%)	27.5%
Infinite	0
Infinite (%)	0.0%
Mean	9.6748775

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.84564741
Coefficient of variation (CV)	0.087406525
Kurtosis	30.450189
Mean	9.6748775
Median Absolute Deviation (MAD)	0
Skewness	-4.6564075
Sum	540845
Variance	0.71511955
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
10	44179	57.3%
9	8405	10.9%
8	2060	2.7%
7	466	0.6%
6	419	0.5%
2	197	0.3%
4	106	0.1%
5	63	0.1%
3	7	< 0.1%
(Missing)	21194	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	197	0.3%
3	7	< 0.1%
4	106	0.1%
5	63	0.1%
6	419	0.5%
7	466	0.6%
8	2060	2.7%
9	8405	10.9%
10	44179	57.3%

Value	Count	Frequency (%)
10	44179	57.3%
9	8405	10.9%
8	2060	2.7%
7	466	0.6%
6	419	0.5%
5	63	0.1%
4	106	0.1%
3	7	< 0.1%
2	197	0.3%

review_scores_location
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	21265
Missing (%)	27.6%
Infinite	0
Infinite (%)	0.0%
Mean	9.4703122

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	9
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.83945496
Coefficient of variation (CV)	0.088640685
Kurtosis	15.713622
Mean	9.4703122
Median Absolute Deviation (MAD)	0
Skewness	-2.911843
Sum	528737
Variance	0.70468462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
10	33853	43.9%
9	16873	21.9%
8	3931	5.1%
6	481	0.6%
7	472	0.6%
2	103	0.1%
4	84	0.1%
5	34	< 0.1%
(Missing)	21265	27.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	103	0.1%
4	84	0.1%
5	34	< 0.1%
6	481	0.6%
7	472	0.6%
8	3931	5.1%
9	16873	21.9%
10	33853	43.9%

Value	Count	Frequency (%)
10	33853	43.9%
9	16873	21.9%
8	3931	5.1%
7	472	0.6%
6	481	0.6%
5	34	< 0.1%
4	84	0.1%
2	103	0.1%

review_scores_price
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	21268
Missing (%)	27.6%
Infinite	0
Infinite (%)	0.0%
Mean	9.2836928

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	9
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0038427
Coefficient of variation (CV)	0.10812967
Kurtosis	13.325731
Mean	9.2836928
Median Absolute Deviation (MAD)	0
Skewness	-2.8084432
Sum	518290
Variance	1.0077001
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
10	28060	36.4%
9	20316	26.4%
8	5305	6.9%
7	880	1.1%
6	751	1.0%
2	211	0.3%
4	183	0.2%
5	110	0.1%
3	12	< 0.1%
(Missing)	21268	27.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	211	0.3%
3	12	< 0.1%
4	183	0.2%
5	110	0.1%
6	751	1.0%
7	880	1.1%
8	5305	6.9%
9	20316	26.4%
10	28060	36.4%

Value	Count	Frequency (%)
10	28060	36.4%
9	20316	26.4%
8	5305	6.9%
7	880	1.1%
6	751	1.0%
5	110	0.1%
4	183	0.2%
3	12	< 0.1%
2	211	0.3%

number_of_reviews
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	369
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.255642

Minimum	0
Maximum	578
Zeros	19400
Zeros (%)	25.2%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	15
95-th percentile	70
Maximum	578
Range	578
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	32.200955
Coefficient of variation (CV)	2.1107571
Kurtosis	37.850035
Mean	15.255642
Median Absolute Deviation (MAD)	4
Skewness	5.0140523
Sum	1176149
Variance	1036.9015
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19400	25.2%
1	8459	11.0%
2	5532	7.2%
3	4113	5.3%
4	3278	4.3%
5	2720	3.5%
6	2288	3.0%
7	1964	2.5%
8	1781	2.3%
9	1588	2.1%
Other values (359)	25973	33.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19400	25.2%
1	8459	11.0%
2	5532	7.2%
3	4113	5.3%
4	3278	4.3%
5	2720	3.5%
6	2288	3.0%
7	1964	2.5%
8	1781	2.3%
9	1588	2.1%

Value	Count	Frequency (%)
578	1	< 0.1%
529	1	< 0.1%
508	1	< 0.1%
507	1	< 0.1%
501	1	< 0.1%
481	1	< 0.1%
471	1	< 0.1%
468	1	< 0.1%
467	1	< 0.1%
461	1	< 0.1%

reviews_per_month
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	949
Distinct (%)	1.6%
Missing	19543
Missing (%)	25.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.2611798

Minimum	0.01
Maximum	16.56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	602.4 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.06
Q1	0.27
median	0.77
Q3	1.71
95-th percentile	4.23
Maximum	16.56
Range	16.55
Interquartile range (IQR)	1.44

Descriptive statistics

Standard deviation	1.461234
Coefficient of variation (CV)	1.1586247
Kurtosis	7.2776849
Mean	1.2611798
Median Absolute Deviation (MAD)	0.58
Skewness	2.3060339
Sum	72584.68
Variance	2.1352049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1527	2.0%
0.03	1024	1.3%
0.07	856	1.1%
0.06	817	1.1%
0.04	709	0.9%
0.05	654	0.8%
0.08	621	0.8%
2	615	0.8%
0.09	609	0.8%
0.17	601	0.8%
Other values (939)	49520	64.2%
(Missing)	19543	25.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	20	< 0.1%
0.02	359	0.5%
0.03	1024	1.3%
0.04	709	0.9%
0.05	654	0.8%
0.06	817	1.1%
0.07	856	1.1%
0.08	621	0.8%
0.09	609	0.8%
0.1	586	0.8%

Value	Count	Frequency (%)
16.56	1	< 0.1%
15.69	1	< 0.1%
15	1	< 0.1%
14.13	1	< 0.1%
13.5	1	< 0.1%
13.26	1	< 0.1%
12.6	1	< 0.1%
12.59	1	< 0.1%
12.5	1	< 0.1%
12.44	1	< 0.1%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

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.

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.

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.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	shuttle_id	review_scores_rating	review_scores_comfort	review_scores_amenities	review_scores_trip	review_scores_crew	review_scores_location	review_scores_price	number_of_reviews	reviews_per_month
0	63561	97.0	10.0	9.0	10.0	10.0	9.0	10.0	133	1.65
1	36260	90.0	8.0	9.0	10.0	9.0	9.0	9.0	3	0.09
2	57015	95.0	9.0	10.0	9.0	10.0	9.0	9.0	14	0.14
3	14035	93.0	10.0	9.0	9.0	9.0	10.0	9.0	39	0.42
4	10036	98.0	10.0	10.0	10.0	10.0	9.0	9.0	92	0.94
5	45163	91.0	10.0	9.0	9.0	9.0	9.0	9.0	26	0.77
6	64643	95.0	9.0	10.0	10.0	10.0	9.0	9.0	118	1.12
7	23389	76.0	8.0	8.0	8.0	8.0	9.0	9.0	5	0.05
8	39934	96.0	10.0	10.0	10.0	10.0	10.0	9.0	38	0.49
9	57063	100.0	10.0	10.0	10.0	10.0	10.0	10.0	1	0.02

	shuttle_id	review_scores_rating	review_scores_comfort	review_scores_amenities	review_scores_trip	review_scores_crew	review_scores_location	review_scores_price	number_of_reviews	reviews_per_month
77086	55187	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1.0
77087	46301	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77088	54977	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77089	51748	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77090	44668	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77091	4368	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77092	2983	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77093	69684	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77094	21738	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN
77095	72645	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN

Overview

Variables

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample