cleveland

Dataset statistics

Number of variables	14
Number of observations	303
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	33.3 KiB
Average record size in memory	112.4 B

Variable types

NUM	7
CAT	4
BOOL	3

Reproduction

Analysis started	2020-08-25 01:16:57.131299
Analysis finished	2020-08-25 01:17:04.907579
Duration	7.78 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`oldpeak` has 99 (32.7%) zeros	Zeros
`ca` has 176 (58.1%) zeros	Zeros
`target` has 164 (54.1%) zeros	Zeros

age
Real number (ℝ_≥0)

Distinct count	41
Unique (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	54.43894389438944
Minimum	29.0
Maximum	77.0
Zeros	0
Zeros (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	29
5-th percentile	40
Q1	48
median	56
Q3	61
95-th percentile	68
Maximum	77
Range	48
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.038662442
Coefficient of variation (CV)	0.1660330233
Kurtosis	-0.5233827452
Mean	54.43894389
Median Absolute Deviation (MAD)	6
Skewness	-0.2090604688
Sum	16495
Variance	81.69741875

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
58	19	6.3%
57	17	5.6%
54	16	5.3%
59	14	4.6%
52	13	4.3%
60	12	4.0%
51	12	4.0%
56	11	3.6%
62	11	3.6%
44	11	3.6%
41	10	3.3%
64	10	3.3%
67	9	3.0%
63	9	3.0%
42	8	2.6%
43	8	2.6%
53	8	2.6%
65	8	2.6%
55	8	2.6%
61	8	2.6%
45	8	2.6%
46	7	2.3%
66	7	2.3%
50	7	2.3%
48	7	2.3%
Other values (16)	45	14.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
29	1	0.3%
34	2	0.7%
35	4	1.3%
37	2	0.7%
38	2	0.7%
39	4	1.3%
40	3	1.0%
41	10	3.3%
42	8	2.6%
43	8	2.6%

Value	Count	Frequency (%)
77	1	0.3%
76	1	0.3%
74	1	0.3%
71	3	1.0%
70	4	1.3%
69	3	1.0%
68	4	1.3%
67	9	3.0%
66	7	2.3%
65	8	2.6%

sex
Boolean

Distinct count	2
Unique (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

1	206
0	97

Frequency Table

Value	Count	Frequency (%)
1	206	68.0%
0	97	32.0%

cp
Categorical

Distinct count	4
Unique (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

4	144
3	86
2	50
1	23

Value	Count	Frequency (%)
4	144	47.5%
3	86	28.4%
2	50	16.5%
1	23	7.6%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
4	144	47.5%
3	86	28.4%
2	50	16.5%
1	23	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	303	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
4	144	47.5%
3	86	28.4%
2	50	16.5%
1	23	7.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	303	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
4	144	47.5%
3	86	28.4%
2	50	16.5%
1	23	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	303	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
4	144	47.5%
3	86	28.4%
2	50	16.5%
1	23	7.6%

trestbps
Real number (ℝ_≥0)

Distinct count	50
Unique (%)	16.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	131.68976897689768
Minimum	94.0
Maximum	200.0
Zeros	0
Zeros (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	94
5-th percentile	108
Q1	120
median	130
Q3	140
95-th percentile	160
Maximum	200
Range	106
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	17.59974773
Coefficient of variation (CV)	0.1336455206
Kurtosis	0.8800738686
Mean	131.689769
Median Absolute Deviation (MAD)	10
Skewness	0.7060346498
Sum	39902
Variance	309.7511201

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
120	37	12.2%
130	36	11.9%
140	32	10.6%
110	19	6.3%
150	17	5.6%
138	12	4.0%
128	12	4.0%
125	11	3.6%
160	11	3.6%
112	9	3.0%
132	8	2.6%
118	7	2.3%
124	6	2.0%
135	6	2.0%
108	6	2.0%
152	5	1.7%
134	5	1.7%
145	5	1.7%
100	4	1.3%
170	4	1.3%
122	4	1.3%
136	3	1.0%
105	3	1.0%
115	3	1.0%
142	3	1.0%
Other values (25)	35	11.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
94	2	0.7%
100	4	1.3%
101	1	0.3%
102	2	0.7%
104	1	0.3%
105	3	1.0%
106	1	0.3%
108	6	2.0%
110	19	6.3%
112	9	3.0%

Value	Count	Frequency (%)
200	1	0.3%
192	1	0.3%
180	3	1.0%
178	2	0.7%
174	1	0.3%
172	1	0.3%
170	4	1.3%
165	1	0.3%
164	1	0.3%
160	11	3.6%

chol
Real number (ℝ_≥0)

Distinct count	152
Unique (%)	50.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	246.69306930693068
Minimum	126.0
Maximum	564.0
Zeros	0
Zeros (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	126
5-th percentile	175.1
Q1	211
median	241
Q3	275
95-th percentile	326.9
Maximum	564
Range	438
Interquartile range (IQR)	64

Descriptive statistics

Standard deviation	51.77691754
Coefficient of variation (CV)	0.209883957
Kurtosis	4.491724287
Mean	246.6930693
Median Absolute Deviation (MAD)	32
Skewness	1.135503153
Sum	74748
Variance	2680.84919

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
234	6	2.0%
204	6	2.0%
197	6	2.0%
269	5	1.7%
212	5	1.7%
254	5	1.7%
177	4	1.3%
243	4	1.3%
226	4	1.3%
282	4	1.3%
211	4	1.3%
239	4	1.3%
233	4	1.3%
240	4	1.3%
245	3	1.0%
274	3	1.0%
231	3	1.0%
201	3	1.0%
249	3	1.0%
244	3	1.0%
263	3	1.0%
283	3	1.0%
288	3	1.0%
220	3	1.0%
223	3	1.0%
Other values (127)	205	67.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
126	1	0.3%
131	1	0.3%
141	1	0.3%
149	2	0.7%
157	1	0.3%
160	1	0.3%
164	1	0.3%
166	1	0.3%
167	1	0.3%
168	1	0.3%

Value	Count	Frequency (%)
564	1	0.3%
417	1	0.3%
409	1	0.3%
407	1	0.3%
394	1	0.3%
360	1	0.3%
354	1	0.3%
353	1	0.3%
342	1	0.3%
341	1	0.3%

fbs
Boolean

Distinct count	2
Unique (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

0	258
1	45

Frequency Table

Value	Count	Frequency (%)
0	258	85.1%
1	45	14.9%

restecg
Categorical

Distinct count	3
Unique (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

0	151
2	148
1	4

Value	Count	Frequency (%)
0	151	49.8%
2	148	48.8%
1	4	1.3%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	151	49.8%
2	148	48.8%
1	4	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	303	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	151	49.8%
2	148	48.8%
1	4	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	303	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	151	49.8%
2	148	48.8%
1	4	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	303	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	151	49.8%
2	148	48.8%
1	4	1.3%

thalach
Real number (ℝ_≥0)

Distinct count	91
Unique (%)	30.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	149.6072607260726
Minimum	71.0
Maximum	202.0
Zeros	0
Zeros (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	71
5-th percentile	108.1
Q1	133.5
median	153
Q3	166
95-th percentile	181.9
Maximum	202
Range	131
Interquartile range (IQR)	32.5

Descriptive statistics

Standard deviation	22.87500328
Coefficient of variation (CV)	0.152900355
Kurtosis	-0.05354095895
Mean	149.6072607
Median Absolute Deviation (MAD)	15
Skewness	-0.5374486699
Sum	45331
Variance	523.2657749

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
162	11	3.6%
160	9	3.0%
163	9	3.0%
152	8	2.6%
150	7	2.3%
173	7	2.3%
143	7	2.3%
132	7	2.3%
144	7	2.3%
125	7	2.3%
172	7	2.3%
140	6	2.0%
161	6	2.0%
156	6	2.0%
158	6	2.0%
142	6	2.0%
169	6	2.0%
168	5	1.7%
182	5	1.7%
157	5	1.7%
174	5	1.7%
147	5	1.7%
165	5	1.7%
178	5	1.7%
170	5	1.7%
Other values (66)	141	46.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
71	1	0.3%
88	1	0.3%
90	1	0.3%
95	1	0.3%
96	2	0.7%
97	1	0.3%
99	1	0.3%
103	2	0.7%
105	3	1.0%
106	1	0.3%

Value	Count	Frequency (%)
202	1	0.3%
195	1	0.3%
194	1	0.3%
192	1	0.3%
190	1	0.3%
188	1	0.3%
187	1	0.3%
186	2	0.7%
185	1	0.3%
184	1	0.3%

exang
Boolean

Distinct count	2
Unique (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

0	204
1	99

Frequency Table

Value	Count	Frequency (%)
0	204	67.3%
1	99	32.7%

oldpeak
Real number (ℝ_≥0)

ZEROS

Distinct count	40
Unique (%)	13.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.0396039603960396
Minimum	0.0
Maximum	6.2
Zeros	99
Zeros (%)	32.7%
Memory size	2.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.8
Q3	1.6
95-th percentile	3.4
Maximum	6.2
Range	6.2
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	1.161075022
Coefficient of variation (CV)	1.116843593
Kurtosis	1.575813073
Mean	1.03960396
Median Absolute Deviation (MAD)	0.8
Skewness	1.269719931
Sum	315
Variance	1.348095207

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	99	32.7%
1.2	17	5.6%
1	14	4.6%
0.6	14	4.6%
0.8	13	4.3%
1.4	13	4.3%
0.2	12	4.0%
1.6	11	3.6%
1.8	10	3.3%
2	9	3.0%
0.4	9	3.0%
0.1	7	2.3%
2.8	6	2.0%
2.6	6	2.0%
0.5	5	1.7%
3	5	1.7%
1.5	5	1.7%
1.9	5	1.7%
2.2	4	1.3%
3.6	4	1.3%
3.4	3	1.0%
0.3	3	1.0%
2.4	3	1.0%
0.9	3	1.0%
4	3	1.0%
Other values (15)	20	6.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	99	32.7%
0.1	7	2.3%
0.2	12	4.0%
0.3	3	1.0%
0.4	9	3.0%
0.5	5	1.7%
0.6	14	4.6%
0.7	1	0.3%
0.8	13	4.3%
0.9	3	1.0%

Value	Count	Frequency (%)
6.2	1	0.3%
5.6	1	0.3%
4.4	1	0.3%
4.2	2	0.7%
4	3	1.0%
3.8	1	0.3%
3.6	4	1.3%
3.5	1	0.3%
3.4	3	1.0%
3.2	2	0.7%

slope
Categorical

Distinct count	3
Unique (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

1	142
2	140
3	21

Value	Count	Frequency (%)
1	142	46.9%
2	140	46.2%
3	21	6.9%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	142	46.9%
2	140	46.2%
3	21	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	303	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	142	46.9%
2	140	46.2%
3	21	6.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	303	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	142	46.9%
2	140	46.2%
3	21	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	303	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	142	46.9%
2	140	46.2%
3	21	6.9%

ca
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.7161716171617162
Minimum	0
Maximum	4
Zeros	176
Zeros (%)	58.1%
Memory size	2.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.005927398
Coefficient of variation (CV)	1.40458987
Kurtosis	0.793918781
Mean	0.7161716172
Median Absolute Deviation (MAD)	0
Skewness	1.300488091
Sum	217
Variance	1.011889931

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	176	58.1%
1	65	21.5%
2	38	12.5%
3	20	6.6%
4	4	1.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	176	58.1%
1	65	21.5%
2	38	12.5%
3	20	6.6%
4	4	1.3%

Value	Count	Frequency (%)
4	4	1.3%
3	20	6.6%
2	38	12.5%
1	65	21.5%
0	176	58.1%

thal
Categorical

Distinct count	4
Unique (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

0	166
2	117
1	18
3	2

Value	Count	Frequency (%)
0	166	54.8%
2	117	38.6%
1	18	5.9%
3	2	0.7%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	166	54.8%
2	117	38.6%
1	18	5.9%
3	2	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	303	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	166	54.8%
2	117	38.6%
1	18	5.9%
3	2	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	303	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	166	54.8%
2	117	38.6%
1	18	5.9%
3	2	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	303	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	166	54.8%
2	117	38.6%
1	18	5.9%
3	2	0.7%

target
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.9372937293729373
Minimum	0
Maximum	4
Zeros	164
Zeros (%)	54.1%
Memory size	2.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	3
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.228535688
Coefficient of variation (CV)	1.310726456
Kurtosis	-0.1387539879
Mean	0.9372937294
Median Absolute Deviation (MAD)	0
Skewness	1.058495607
Sum	284
Variance	1.509299937

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	164	54.1%
1	55	18.2%
2	36	11.9%
3	35	11.6%
4	13	4.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	164	54.1%
1	55	18.2%
2	36	11.9%
3	35	11.6%
4	13	4.3%

Value	Count	Frequency (%)
4	13	4.3%
3	35	11.6%
2	36	11.9%
1	55	18.2%
0	164	54.1%

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.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	age	sex	cp	trestbps	chol	fbs	restecg	thalach	exang	oldpeak	slope	ca	thal	target
0	63.0	1	1	145.0	233.0	1	2	150.0	0	2.3	3	0	1	0
1	67.0	1	4	160.0	286.0	0	2	108.0	1	1.5	2	3	0	2
2	67.0	1	4	120.0	229.0	0	2	129.0	1	2.6	2	2	2	1
3	37.0	1	3	130.0	250.0	0	0	187.0	0	3.5	3	0	0	0
4	41.0	0	2	130.0	204.0	0	2	172.0	0	1.4	1	0	0	0
5	56.0	1	2	120.0	236.0	0	0	178.0	0	0.8	1	0	0	0
6	62.0	0	4	140.0	268.0	0	2	160.0	0	3.6	3	2	0	3
7	57.0	0	4	120.0	354.0	0	0	163.0	1	0.6	1	0	0	0
8	63.0	1	4	130.0	254.0	0	2	147.0	0	1.4	2	1	2	2
9	53.0	1	4	140.0	203.0	1	2	155.0	1	3.1	3	0	2	1

Last rows

	age	sex	cp	trestbps	chol	fbs	restecg	thalach	exang	oldpeak	slope	ca	thal	target
293	63.0	1	4	140.0	187.0	0	2	144.0	1	4.0	1	2	2	2
294	63.0	0	4	124.0	197.0	0	0	136.0	1	0.0	2	0	0	1
295	41.0	1	2	120.0	157.0	0	0	182.0	0	0.0	1	0	0	0
296	59.0	1	4	164.0	176.0	1	2	90.0	0	1.0	2	2	1	3
297	57.0	0	4	140.0	241.0	0	0	123.0	1	0.2	2	0	2	1
298	45.0	1	1	110.0	264.0	0	0	132.0	0	1.2	2	0	2	1
299	68.0	1	4	144.0	193.0	1	0	141.0	0	3.4	2	2	2	2
300	57.0	1	4	130.0	131.0	0	0	115.0	1	1.2	2	1	2	3
301	57.0	0	2	130.0	236.0	0	2	174.0	0	0.0	2	1	0	1
302	38.0	1	3	138.0	175.0	0	0	173.0	0	0.0	1	4	0	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows