australian

Dataset statistics

Number of variables	15
Number of observations	690
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	81.0 KiB
Average record size in memory	120.2 B

Variable types

NUM	8
BOOL	5
CAT	2

Reproduction

Analysis started	2020-08-25 01:07:41.417867
Analysis finished	2020-08-25 01:07:52.342618
Duration	10.92 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`A3` has 19 (2.8%) zeros	Zeros
`A7` has 70 (10.1%) zeros	Zeros
`A10` has 395 (57.2%) zeros	Zeros
`A13` has 132 (19.1%) zeros	Zeros

A1
Boolean

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

1	468
0	222

Frequency Table

Value	Count	Frequency (%)
1	468	67.8%
0	222	32.2%

A2
Real number (ℝ_≥0)

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

Mean	31.568202898550727
Minimum	13.75
Maximum	80.25
Zeros	0
Zeros (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	13.75
5-th percentile	17.956
Q1	22.67
median	28.625
Q3	37.7075
95-th percentile	56.231
Maximum	80.25
Range	66.5
Interquartile range (IQR)	15.0375

Descriptive statistics

Standard deviation	11.85327277
Coefficient of variation (CV)	0.3754813922
Kurtosis	1.192058599
Mean	31.5682029
Median Absolute Deviation (MAD)	6.795
Skewness	1.155935008
Sum	21782.06
Variance	140.5000754

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
31.57	12	1.7%
22.67	9	1.3%
20.42	7	1.0%
24.5	6	0.9%
22.5	6	0.9%
20.67	6	0.9%
23.58	6	0.9%
18.83	6	0.9%
19.17	6	0.9%
25	6	0.9%
23	5	0.7%
23.08	5	0.7%
23.25	5	0.7%
33.17	5	0.7%
27.83	5	0.7%
27.67	5	0.7%
32.33	4	0.6%
28.58	4	0.6%
41.17	4	0.6%
25.67	4	0.6%
25.17	4	0.6%
24.58	4	0.6%
24.75	4	0.6%
26.67	4	0.6%
20.75	4	0.6%
Other values (325)	554	80.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13.75	1	0.1%
15.17	1	0.1%
15.75	1	0.1%
15.83	2	0.3%
15.92	1	0.1%
16	2	0.3%
16.08	2	0.3%
16.17	1	0.1%
16.25	2	0.3%
16.33	3	0.4%

Value	Count	Frequency (%)
80.25	1	0.1%
76.75	1	0.1%
74.83	1	0.1%
73.42	1	0.1%
71.58	1	0.1%
69.5	1	0.1%
69.17	1	0.1%
68.67	1	0.1%
67.75	1	0.1%
65.42	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%
0.75	16	2.3%
1.25	16	2.3%
0.5	15	2.2%
5	14	2.0%
6.5	12	1.7%
1.75	12	1.7%
4	12	1.7%
1	10	1.4%
10	10	1.4%
0.585	10	1.4%
2	10	1.4%
0.375	9	1.3%
11	9	1.3%
0.835	8	1.2%
0.165	8	1.2%
12.5	8	1.2%
3.5	8	1.2%
5.5	8	1.2%
11.5	8	1.2%
0.54	8	1.2%
7	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

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

2	525
1	163
3	2

Value	Count	Frequency (%)
2	525	76.1%
1	163	23.6%
3	2	0.3%

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 (%)
2	525	76.1%
1	163	23.6%
3	2	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	690	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	525	76.1%
1	163	23.6%
3	2	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	525	76.1%
1	163	23.6%
3	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	525	76.1%
1	163	23.6%
3	2	0.3%

A5
Real number (ℝ_≥0)

Distinct count	14
Unique (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.372463768115942
Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	10
95-th percentile	14
Maximum	14
Range	13
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.683264787
Coefficient of variation (CV)	0.4995975434
Kurtosis	-0.8490425801
Mean	7.372463768
Median Absolute Deviation (MAD)	3
Skewness	-0.06919047486
Sum	5087
Variance	13.56643949

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	146	21.2%
11	78	11.3%
9	64	9.3%
3	59	8.6%
6	54	7.8%
1	53	7.7%
4	51	7.4%
13	41	5.9%
14	38	5.5%
7	38	5.5%
2	30	4.3%
10	25	3.6%
5	10	1.4%
12	3	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	53	7.7%
2	30	4.3%
3	59	8.6%
4	51	7.4%
5	10	1.4%
6	54	7.8%
7	38	5.5%
8	146	21.2%
9	64	9.3%
10	25	3.6%

Value	Count	Frequency (%)
14	38	5.5%
13	41	5.9%
12	3	0.4%
11	78	11.3%
10	25	3.6%
9	64	9.3%
8	146	21.2%
7	38	5.5%
6	54	7.8%
5	10	1.4%

A6
Real number (ℝ_≥0)

Distinct count	8
Unique (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.6927536231884055
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

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

Descriptive statistics

Standard deviation	1.99231607
Coefficient of variation (CV)	0.4245516022
Kurtosis	-0.1781323337
Mean	4.692753623
Median Absolute Deviation (MAD)	0
Skewness	0.4684118266
Sum	3238
Variance	3.969323321

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	408	59.1%
8	138	20.0%
5	59	8.6%
1	57	8.3%
9	8	1.2%
3	8	1.2%
7	6	0.9%
2	6	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	57	8.3%
2	6	0.9%
3	8	1.2%
4	408	59.1%
5	59	8.6%
7	6	0.9%
8	138	20.0%
9	8	1.2%

Value	Count	Frequency (%)
9	8	1.2%
8	138	20.0%
7	6	0.9%
5	59	8.6%
4	408	59.1%
3	8	1.2%
2	6	0.9%
1	57	8.3%

A7
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%
3.5	12	1.7%
0.29	12	1.7%
0.75	12	1.7%
3	11	1.6%
1.25	10	1.4%
2.25	10	1.4%
4	8	1.2%
0.415	8	1.2%
0.375	7	1.0%
5.5	7	1.0%
6.5	6	0.9%
0.21	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%

A8
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%

A9
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%

A10
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%
8	10	1.4%
9	10	1.4%
12	8	1.2%
14	8	1.2%
10	8	1.2%
15	4	0.6%
16	3	0.4%
17	2	0.3%
20	2	0.3%
23	1	0.1%
40	1	0.1%
67	1	0.1%
13	1	0.1%
19	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%

A11
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%

A12
Categorical

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

2	625
1	57
3	8

Value	Count	Frequency (%)
2	625	90.6%
1	57	8.3%
3	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 (%)
2	625	90.6%
1	57	8.3%
3	8	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	690	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	625	90.6%
1	57	8.3%
3	8	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	690	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	625	90.6%
1	57	8.3%
3	8	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	625	90.6%
1	57	8.3%
3	8	1.2%

A13
Real number (ℝ_≥0)

ZEROS

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

Mean	184.0144927536232
Minimum	0.0
Maximum	2000.0
Zeros	132
Zeros (%)	19.1%
Memory size	5.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	80
median	160
Q3	272
95-th percentile	460
Maximum	2000
Range	2000
Interquartile range (IQR)	192

Descriptive statistics

Standard deviation	172.1592735
Coefficient of variation (CV)	0.9355745352
Kurtosis	19.92669755
Mean	184.0144928
Median Absolute Deviation (MAD)	100
Skewness	2.749911749
Sum	126970
Variance	29638.81546

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	132	19.1%
120	35	5.1%
200	35	5.1%
160	34	4.9%
80	30	4.3%
100	30	4.3%
280	22	3.2%
180	18	2.6%
140	16	2.3%
320	14	2.0%
240	14	2.0%
300	13	1.9%
184	13	1.9%
260	11	1.6%
220	9	1.3%
60	9	1.3%
400	9	1.3%
360	7	1.0%
340	7	1.0%
380	5	0.7%
108	4	0.6%
40	4	0.6%
144	4	0.6%
420	4	0.6%
132	4	0.6%
Other values (146)	207	30.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	132	19.1%
17	1	0.1%
20	2	0.3%
21	1	0.1%
22	1	0.1%
24	1	0.1%
28	1	0.1%
29	1	0.1%
30	1	0.1%
32	1	0.1%

Value	Count	Frequency (%)
2000	1	0.1%
1160	1	0.1%
980	1	0.1%
928	1	0.1%
840	1	0.1%
760	1	0.1%
720	2	0.3%
711	1	0.1%
680	1	0.1%
640	1	0.1%

A14
Real number (ℝ_≥0)

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

Mean	1018.3855072463768
Minimum	1.0
Maximum	100001.0
Zeros	0
Zeros (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	6
Q3	396.5
95-th percentile	4120.4
Maximum	100001
Range	100000
Interquartile range (IQR)	395.5

Descriptive statistics

Standard deviation	5210.102598
Coefficient of variation (CV)	5.116041579
Kurtosis	214.6699724
Mean	1018.385507
Median Absolute Deviation (MAD)	5
Skewness	13.14065501
Sum	702686
Variance	27145169.08

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	295	42.8%
2	29	4.2%
1001	10	1.4%
501	10	1.4%
3	9	1.3%
301	8	1.2%
6	8	1.2%
7	8	1.2%
201	6	0.9%
4	6	0.9%
101	6	0.9%
51	5	0.7%
5	5	0.7%
8	4	0.6%
3001	4	0.6%
11	4	0.6%
21	4	0.6%
151	4	0.6%
5001	3	0.4%
401	3	0.4%
4001	3	0.4%
601	3	0.4%
2001	3	0.4%
19	3	0.4%
561	3	0.4%
Other values (215)	244	35.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	295	42.8%
2	29	4.2%
3	9	1.3%
4	6	0.9%
5	5	0.7%
6	8	1.2%
7	8	1.2%
8	4	0.6%
9	2	0.3%
10	1	0.1%

Value	Count	Frequency (%)
100001	1	0.1%
51101	1	0.1%
50001	1	0.1%
31286	1	0.1%
26727	1	0.1%
18028	1	0.1%
15109	1	0.1%
15001	1	0.1%
13213	1	0.1%
11203	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	A9	A10	A11	A12	A13	A14	target
0	1	27.58	2.040	1	6	4	2.000	1	1	3.0	1	2	370.0	561.0	1
1	1	47.33	6.500	2	8	4	1.000	0	0	0.0	1	2	0.0	229.0	0
2	0	68.67	15.000	2	10	9	0.000	1	1	14.0	0	2	0.0	3377.0	1
3	1	22.67	0.750	2	3	4	1.585	0	1	1.0	1	2	400.0	10.0	0
4	1	69.17	9.000	2	1	1	4.000	0	1	1.0	0	2	70.0	7.0	0
5	1	28.58	3.625	2	6	4	0.250	0	0	0.0	1	2	100.0	1.0	0
6	0	23.58	11.500	1	4	8	3.000	0	0	0.0	1	2	20.0	17.0	0
7	1	28.92	15.000	2	8	8	5.335	1	1	11.0	0	2	0.0	2284.0	1
8	1	31.42	15.500	2	8	4	0.500	1	0	0.0	0	2	120.0	1.0	0
9	1	17.25	3.000	2	4	4	0.040	0	0	0.0	1	2	160.0	41.0	0

Last rows

	A1	A2	A3	A4	A5	A6	A7	A8	A9	A10	A11	A12	A13	A14	target
680	1	51.33	10.000	2	3	5	0.000	1	1	11.0	0	2	0.0	1250.0	1
681	0	36.00	1.000	2	8	4	2.000	1	1	11.0	0	2	0.0	457.0	1
682	1	19.42	7.250	2	7	4	0.040	0	1	1.0	0	2	100.0	2.0	0
683	1	35.58	0.750	2	4	4	1.500	0	0	0.0	1	2	231.0	1.0	0
684	0	24.75	3.000	2	11	8	1.835	1	1	19.0	0	2	0.0	501.0	1
685	0	58.33	10.000	2	11	4	4.000	1	1	14.0	0	2	0.0	1603.0	1
686	1	26.67	4.250	2	13	4	4.290	1	1	1.0	1	2	120.0	1.0	1
687	1	29.67	0.750	1	8	4	0.040	0	0	0.0	0	2	240.0	1.0	0
688	1	26.00	1.000	2	11	4	1.750	1	0	0.0	1	2	280.0	1.0	1
689	0	28.17	0.585	2	6	4	0.040	0	0	0.0	0	2	260.0	1005.0	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

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows