crx

Dataset statistics

Number of variables	16
Number of observations	690
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	86.4 KiB
Average record size in memory	128.2 B

Variable types

NUM	8
BOOL	4
CAT	4

Reproduction

Analysis started	2020-08-25 01:21:07.016273
Analysis finished	2020-08-25 01:21:18.378021
Duration	11.36 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`A5` is highly correlated with `A4`	High correlation
`A4` is highly correlated with `A5`	High correlation
`A5` is highly correlated with `A4`	High correlation
`A4` is highly correlated with `A5`	High correlation
`A3` has 19 (2.8%) zeros	Zeros
`A6` has 9 (1.3%) zeros	Zeros
`A7` has 9 (1.3%) zeros	Zeros
`A8` has 70 (10.1%) zeros	Zeros
`A11` has 395 (57.2%) zeros	Zeros
`A14` has 132 (19.1%) zeros	Zeros
`A15` has 295 (42.8%) zeros	Zeros

A1
Categorical

Distinct count	3
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

2	468
1	210
0	12

Value	Count	Frequency (%)
2	468	67.8%
1	210	30.4%
0	12	1.7%

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 (%)
2	468	67.8%
1	210	30.4%
0	12	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	690	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	468	67.8%
1	210	30.4%
0	12	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	468	67.8%
1	210	30.4%
0	12	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	468	67.8%
1	210	30.4%
0	12	1.7%

A2
Real number (ℝ_≥0)

Distinct count	350
Unique (%)	50.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	150.52898550724638
Minimum	0
Maximum	349
Zeros	1
Zeros (%)	0.1%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	20.45
Q1	71
median	133.5
Q3	226
95-th percentile	326.55
Maximum	349
Range	349
Interquartile range (IQR)	155

Descriptive statistics

Standard deviation	96.18894626
Coefficient of variation (CV)	0.6390061418
Kurtosis	-0.9452219534
Mean	150.5289855
Median Absolute Deviation (MAD)	73
Skewness	0.4088069518
Sum	103865
Variance	9252.313382

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
349	12	1.7%
71	9	1.3%
46	7	1.0%
31	6	0.9%
89	6	0.9%
82	6	0.9%
69	6	0.9%
48	6	0.9%
34	6	0.9%
94	6	0.9%
78	5	0.7%
75	5	0.7%
125	5	0.7%
123	5	0.7%
76	5	0.7%
179	5	0.7%
171	4	0.6%
64	4	0.6%
74	4	0.6%
81	4	0.6%
90	4	0.6%
91	4	0.6%
96	4	0.6%
49	4	0.6%
102	4	0.6%
Other values (325)	554	80.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	2	0.3%
4	1	0.1%
5	2	0.3%
6	2	0.3%
7	1	0.1%
8	2	0.3%
9	3	0.4%

Value	Count	Frequency (%)
349	12	1.7%
348	1	0.1%
347	1	0.1%
346	1	0.1%
345	1	0.1%
344	1	0.1%
343	1	0.1%
342	1	0.1%
341	1	0.1%
340	1	0.1%

A3
Real number (ℝ_≥0)

ZEROS

Distinct count	215
Unique (%)	31.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.758724637681159
Minimum	0.0
Maximum	28.0
Zeros	19
Zeros (%)	2.8%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.165
Q1	1
median	2.75
Q3	7.2075
95-th percentile	14
Maximum	28
Range	28
Interquartile range (IQR)	6.2075

Descriptive statistics

Standard deviation	4.978163249
Coefficient of variation (CV)	1.046112904
Kurtosis	2.274021887
Mean	4.758724638
Median Absolute Deviation (MAD)	2.21
Skewness	1.488813125
Sum	3283.52
Variance	24.78210933

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.5	21	3.0%
3	19	2.8%
0	19	2.8%
2.5	19	2.8%
1.25	16	2.3%
0.75	16	2.3%
0.5	15	2.2%
5	14	2.0%
4	12	1.7%
1.75	12	1.7%
6.5	12	1.7%
0.585	10	1.4%
2	10	1.4%
1	10	1.4%
10	10	1.4%
0.375	9	1.3%
11	9	1.3%
11.5	8	1.2%
7	8	1.2%
0.54	8	1.2%
0.165	8	1.2%
0.835	8	1.2%
12.5	8	1.2%
3.5	8	1.2%
5.5	8	1.2%
Other values (190)	393	57.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19	2.8%
0.04	5	0.7%
0.08	1	0.1%
0.085	1	0.1%
0.125	5	0.7%
0.165	8	1.2%
0.17	1	0.1%
0.205	3	0.4%
0.21	3	0.4%
0.25	6	0.9%

Value	Count	Frequency (%)
28	1	0.1%
26.335	1	0.1%
25.21	1	0.1%
25.125	1	0.1%
25.085	1	0.1%
22.29	1	0.1%
22	1	0.1%
21.5	1	0.1%
21	1	0.1%
20	1	0.1%

A4
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct count	4
Unique (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

2	519
3	163
0	6
1	2

Value	Count	Frequency (%)
2	519	75.2%
3	163	23.6%
0	6	0.9%
1	2	0.3%

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 (%)
2	519	75.2%
3	163	23.6%
0	6	0.9%
1	2	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	690	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	519	75.2%
3	163	23.6%
0	6	0.9%
1	2	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	519	75.2%
3	163	23.6%
0	6	0.9%
1	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	519	75.2%
3	163	23.6%
0	6	0.9%
1	2	0.3%

A5
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct count	4
Unique (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

1	519
3	163
0	6
2	2

Value	Count	Frequency (%)
1	519	75.2%
3	163	23.6%
0	6	0.9%
2	2	0.3%

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 (%)
1	519	75.2%
3	163	23.6%
0	6	0.9%
2	2	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	690	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	519	75.2%
3	163	23.6%
0	6	0.9%
2	2	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	519	75.2%
3	163	23.6%
0	6	0.9%
2	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	519	75.2%
3	163	23.6%
0	6	0.9%
2	2	0.3%

A6
Real number (ℝ_≥0)

ZEROS

Distinct count	15
Unique (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.398550724637682
Minimum	0
Maximum	14
Zeros	9
Zeros (%)	1.3%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	10
95-th percentile	14
Maximum	14
Range	14
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.109777811
Coefficient of variation (CV)	0.642298231
Kurtosis	-1.241341393
Mean	6.398550725
Median Absolute Deviation (MAD)	3
Skewness	0.3088174203
Sum	4415
Variance	16.89027366

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	137	19.9%
12	78	11.3%
1	64	9.3%
8	59	8.6%
2	54	7.8%
7	53	7.7%
10	51	7.4%
4	41	5.9%
14	38	5.5%
11	38	5.5%
5	30	4.3%
6	25	3.6%
9	10	1.4%
0	9	1.3%
13	3	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	1.3%
1	64	9.3%
2	54	7.8%
3	137	19.9%
4	41	5.9%
5	30	4.3%
6	25	3.6%
7	53	7.7%
8	59	8.6%
9	10	1.4%

Value	Count	Frequency (%)
14	38	5.5%
13	3	0.4%
12	78	11.3%
11	38	5.5%
10	51	7.4%
9	10	1.4%
8	59	8.6%
7	53	7.7%
6	25	3.6%
5	30	4.3%

A7
Real number (ℝ_≥0)

ZEROS

Distinct count	10
Unique (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.994202898550725
Minimum	0
Maximum	9
Zeros	9
Zeros (%)	1.3%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.594505977
Coefficient of variation (CV)	0.4328358617
Kurtosis	-0.9537779728
Mean	5.994202899
Median Absolute Deviation (MAD)	0
Skewness	-0.7387113704
Sum	4136
Variance	6.731461265

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	399	57.8%
4	138	20.0%
1	59	8.6%
3	57	8.3%
0	9	1.3%
9	8	1.2%
5	8	1.2%
2	6	0.9%
6	4	0.6%
7	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	1.3%
1	59	8.6%
2	6	0.9%
3	57	8.3%
4	138	20.0%
5	8	1.2%
6	4	0.6%
7	2	0.3%
8	399	57.8%
9	8	1.2%

Value	Count	Frequency (%)
9	8	1.2%
8	399	57.8%
7	2	0.3%
6	4	0.6%
5	8	1.2%
4	138	20.0%
3	57	8.3%
2	6	0.9%
1	59	8.6%
0	9	1.3%

A8
Real number (ℝ_≥0)

ZEROS

Distinct count	132
Unique (%)	19.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.2234057971014494
Minimum	0.0
Maximum	28.5
Zeros	70
Zeros (%)	10.1%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.165
median	1
Q3	2.625
95-th percentile	8.56875
Maximum	28.5
Range	28.5
Interquartile range (IQR)	2.46

Descriptive statistics

Standard deviation	3.346513359
Coefficient of variation (CV)	1.505129367
Kurtosis	11.20019166
Mean	2.223405797
Median Absolute Deviation (MAD)	0.915
Skewness	2.891330424
Sum	1534.15
Variance	11.19915166

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	70	10.1%
0.25	35	5.1%
0.04	33	4.8%
1	31	4.5%
0.125	30	4.3%
0.5	28	4.1%
0.085	26	3.8%
1.5	25	3.6%
0.165	22	3.2%
2.5	17	2.5%
2	16	2.3%
1.75	15	2.2%
5	13	1.9%
0.29	12	1.7%
0.75	12	1.7%
3.5	12	1.7%
3	11	1.6%
2.25	10	1.4%
1.25	10	1.4%
4	8	1.2%
0.415	8	1.2%
5.5	7	1.0%
0.375	7	1.0%
1.085	6	0.9%
6.5	6	0.9%
Other values (107)	220	31.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	70	10.1%
0.04	33	4.8%
0.085	26	3.8%
0.125	30	4.3%
0.165	22	3.2%
0.21	6	0.9%
0.25	35	5.1%
0.29	12	1.7%
0.335	5	0.7%
0.375	7	1.0%

Value	Count	Frequency (%)
28.5	1	0.1%
20	2	0.3%
18	1	0.1%
17.5	1	0.1%
16	1	0.1%
15.5	1	0.1%
15	3	0.4%
14.415	1	0.1%
14	3	0.4%
13.875	2	0.3%

A9
Boolean

Distinct count	2
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

1	361
0	329

Frequency Table

Value	Count	Frequency (%)
1	361	52.3%
0	329	47.7%

A10
Boolean

Distinct count	2
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

0	395
1	295

Frequency Table

Value	Count	Frequency (%)
0	395	57.2%
1	295	42.8%

A11
Real number (ℝ_≥0)

ZEROS

Distinct count	23
Unique (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.4
Minimum	0.0
Maximum	67.0
Zeros	395
Zeros (%)	57.2%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	11
Maximum	67
Range	67
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.862940034
Coefficient of variation (CV)	2.026225014
Kurtosis	50.82943127
Mean	2.4
Median Absolute Deviation (MAD)	0
Skewness	5.152519857
Sum	1656
Variance	23.64818578

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	395	57.2%
1	71	10.3%
2	45	6.5%
3	28	4.1%
6	23	3.3%
11	19	2.8%
5	18	2.6%
7	16	2.3%
4	15	2.2%
9	10	1.4%
8	10	1.4%
14	8	1.2%
10	8	1.2%
12	8	1.2%
15	4	0.6%
16	3	0.4%
20	2	0.3%
17	2	0.3%
40	1	0.1%
19	1	0.1%
23	1	0.1%
13	1	0.1%
67	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	395	57.2%
1	71	10.3%
2	45	6.5%
3	28	4.1%
4	15	2.2%
5	18	2.6%
6	23	3.3%
7	16	2.3%
8	10	1.4%
9	10	1.4%

Value	Count	Frequency (%)
67	1	0.1%
40	1	0.1%
23	1	0.1%
20	2	0.3%
19	1	0.1%
17	2	0.3%
16	3	0.4%
15	4	0.6%
14	8	1.2%
13	1	0.1%

A12
Boolean

Distinct count	2
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

0	374
1	316

Frequency Table

Value	Count	Frequency (%)
0	374	54.2%
1	316	45.8%

A13
Categorical

Distinct count	3
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

0	625
2	57
1	8

Value	Count	Frequency (%)
0	625	90.6%
2	57	8.3%
1	8	1.2%

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	625	90.6%
2	57	8.3%
1	8	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	690	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	625	90.6%
2	57	8.3%
1	8	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	625	90.6%
2	57	8.3%
1	8	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	625	90.6%
2	57	8.3%
1	8	1.2%

A14
Real number (ℝ_≥0)

ZEROS

Distinct count	171
Unique (%)	24.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	56.927536231884055
Minimum	0
Maximum	170
Zeros	132
Zeros (%)	19.1%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7.25
median	40
Q3	95.75
95-th percentile	159
Maximum	170
Range	170
Interquartile range (IQR)	88.5

Descriptive statistics

Standard deviation	54.81326496
Coefficient of variation (CV)	0.9628603061
Kurtosis	-0.8705687147
Mean	56.92753623
Median Absolute Deviation (MAD)	40
Skewness	0.6586872057
Sum	39280
Variance	3004.494016

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	132	19.1%
8	35	5.1%
40	35	5.1%
23	34	4.9%
1	30	4.3%
159	30	4.3%
74	22	3.2%
34	18	2.6%
15	16	2.3%
86	14	2.0%
61	14	2.0%
80	13	1.9%
170	13	1.9%
67	11	1.6%
111	9	1.3%
51	9	1.3%
147	9	1.3%
96	7	1.0%
90	7	1.0%
103	5	0.7%
110	4	0.6%
122	4	0.6%
17	4	0.6%
116	4	0.6%
141	4	0.6%
Other values (146)	207	30.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	132	19.1%
1	30	4.3%
2	1	0.1%
3	4	0.6%
4	2	0.3%
5	2	0.3%
6	1	0.1%
7	1	0.1%
8	35	5.1%
9	1	0.1%

Value	Count	Frequency (%)
170	13	1.9%
169	1	0.1%
168	1	0.1%
167	3	0.4%
166	1	0.1%
165	1	0.1%
164	1	0.1%
163	2	0.3%
162	2	0.3%
161	1	0.1%

A15
Real number (ℝ_≥0)

ZEROS

Distinct count	240
Unique (%)	34.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1017.3855072463768
Minimum	0.0
Maximum	100000.0
Zeros	295
Zeros (%)	42.8%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	5
Q3	395.5
95-th percentile	4119.4
Maximum	100000
Range	100000
Interquartile range (IQR)	395.5

Descriptive statistics

Standard deviation	5210.102598
Coefficient of variation (CV)	5.121070195
Kurtosis	214.6699724
Mean	1017.385507
Median Absolute Deviation (MAD)	5
Skewness	13.14065501
Sum	701996
Variance	27145169.08

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	295	42.8%
1	29	4.2%
500	10	1.4%
1000	10	1.4%
2	9	1.3%
5	8	1.2%
300	8	1.2%
6	8	1.2%
100	6	0.9%
3	6	0.9%
200	6	0.9%
4	5	0.7%
50	5	0.7%
20	4	0.6%
150	4	0.6%
10	4	0.6%
3000	4	0.6%
7	4	0.6%
400	3	0.4%
560	3	0.4%
2000	3	0.4%
600	3	0.4%
18	3	0.4%
4000	3	0.4%
5000	3	0.4%
Other values (215)	244	35.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	295	42.8%
1	29	4.2%
2	9	1.3%
3	6	0.9%
4	5	0.7%
5	8	1.2%
6	8	1.2%
7	4	0.6%
8	2	0.3%
9	1	0.1%

Value	Count	Frequency (%)
100000	1	0.1%
51100	1	0.1%
50000	1	0.1%
31285	1	0.1%
26726	1	0.1%
18027	1	0.1%
15108	1	0.1%
15000	1	0.1%
13212	1	0.1%
11202	1	0.1%

target
Boolean

Distinct count	2
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

0	383
1	307

Frequency Table

Value	Count	Frequency (%)
0	383	55.5%
1	307	44.5%

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

	A1	A2	A3	A4	A5	A6	A7	A8	A10	A11	A12	A13	A14	A15
0	1	20	0.540	2	1	3	8	1.750	1	1.0	1	0	159	5.0
1	2	11	0.335	3	3	10	8	0.290	0	0.0	0	2	40	0.0
2	2	159	1.125	2	1	7	3	0.000	1	1.0	0	0	167	19.0
3	1	283	1.335	2	1	8	7	0.335	0	0.0	0	0	0	120.0
4	2	171	3.500	2	1	10	8	0.500	0	0.0	1	0	58	0.0
5	1	195	1.250	3	3	8	4	0.500	0	0.0	1	0	23	0.0
6	1	108	2.000	2	1	9	5	0.000	0	0.0	1	0	72	1.0
7	2	53	0.875	3	3	3	4	0.250	0	0.0	0	0	74	204.0
8	2	136	0.375	2	1	3	8	0.290	0	0.0	0	0	51	140.0
9	2	23	10.250	2	1	3	4	1.085	0	0.0	0	0	86	13.0

Last rows

	A1	A2	A3	A4	A5	A6	A7	A8	A9	A10	A11	A12	A14	A15	target
680	1	200	12.000	2	1	12	4	14.000	1	1	8.0	0	0	6590.0	1
681	2	55	7.500	2	1	2	8	1.415	1	1	1.0	0	159	9800.0	1
682	2	240	5.000	2	1	3	8	5.000	1	1	7.0	0	0	3065.0	1
683	1	245	1.000	2	1	8	1	2.250	1	0	0.0	1	0	300.0	1
684	2	124	0.585	3	3	4	8	0.250	1	1	2.0	0	67	500.0	1
685	2	76	11.500	2	1	8	8	3.500	1	1	9.0	0	144	742.0	1
686	1	321	19.500	2	1	3	8	5.500	1	1	7.0	0	0	3000.0	1
687	2	156	0.000	2	1	1	8	1.250	1	1	1.0	0	42	0.0	1
688	2	39	0.375	2	1	12	8	2.000	1	1	2.0	1	159	0.0	1
689	2	148	6.500	2	1	4	8	3.125	1	1	8.0	0	88	1200.0	1

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