1595_poker

Dataset statistics

Number of variables	11
Number of observations	1025010
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	2239
Duplicate rows (%)	0.2%
Total size in memory	86.0 MiB
Average record size in memory	88.0 B

Variable types

NUM	6
CAT	5

Reproduction

Analysis started	2020-08-24 23:49:49.446172
Analysis finished	2020-08-24 23:50:43.382737
Duration	53.94 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

Dataset has 2239 (0.2%) duplicate rows	Duplicates
`target` has 513702 (50.1%) zeros	Zeros

att_1
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.8 MiB

3	257150
1	256087
4	256077
2	255696

Value	Count	Frequency (%)
3	257150	25.1%
1	256087	25.0%
4	256077	25.0%
2	255696	24.9%

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories (?)	2
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 (%)
.	1025010	33.3%
0	1025010	33.3%
3	257150	8.4%
1	256087	8.3%
4	256077	8.3%
2	255696	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2050020	66.7%
Other Punctuation	1025010	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1025010	50.0%
3	257150	12.5%
1	256087	12.5%
4	256077	12.5%
2	255696	12.5%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1025010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3075030	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
3	257150	8.4%
1	256087	8.3%
4	256077	8.3%
2	255696	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3075030	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
3	257150	8.4%
1	256087	8.3%
4	256077	8.3%
2	255696	8.3%

att_2
Real number (ℝ_≥0)

Distinct count	13
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.997861484278202
Minimum	1.0
Maximum	13.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	13
Maximum	13
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.743529466
Coefficient of variation (CV)	0.5349533532
Kurtosis	-1.21531586
Mean	6.997861484
Median Absolute Deviation (MAD)	3
Skewness	0.0005632497179
Sum	7172878
Variance	14.01401286

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	79234	7.7%
11	79158	7.7%
6	79142	7.7%
4	79017	7.7%
12	78858	7.7%
13	78833	7.7%
2	78818	7.7%
8	78786	7.7%
5	78769	7.7%
10	78761	7.7%
3	78690	7.7%
7	78542	7.7%
9	78402	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	79234	7.7%
2	78818	7.7%
3	78690	7.7%
4	79017	7.7%
5	78769	7.7%
6	79142	7.7%
7	78542	7.7%
8	78786	7.7%
9	78402	7.6%
10	78761	7.7%

Value	Count	Frequency (%)
13	78833	7.7%
12	78858	7.7%
11	79158	7.7%
10	78761	7.7%
9	78402	7.6%
8	78786	7.7%
7	78542	7.7%
6	79142	7.7%
5	78769	7.7%
4	79017	7.7%

att_3
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.8 MiB

1	256671
4	256535
3	255943
2	255861

Value	Count	Frequency (%)
1	256671	25.0%
4	256535	25.0%
3	255943	25.0%
2	255861	25.0%

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories (?)	2
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 (%)
.	1025010	33.3%
0	1025010	33.3%
1	256671	8.3%
4	256535	8.3%
3	255943	8.3%
2	255861	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2050020	66.7%
Other Punctuation	1025010	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1025010	50.0%
1	256671	12.5%
4	256535	12.5%
3	255943	12.5%
2	255861	12.5%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1025010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3075030	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
1	256671	8.3%
4	256535	8.3%
3	255943	8.3%
2	255861	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3075030	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
1	256671	8.3%
4	256535	8.3%
3	255943	8.3%
2	255861	8.3%

att_4
Real number (ℝ_≥0)

Distinct count	13
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.006294572735876
Minimum	1.0
Maximum	13.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	13
Maximum	13
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.744054308
Coefficient of variation (CV)	0.5343843695
Kurtosis	-1.215713979
Mean	7.006294573
Median Absolute Deviation (MAD)	3
Skewness	-0.001749992216
Sum	7181522
Variance	14.01794266

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
11	79304	7.7%
12	79237	7.7%
13	79206	7.7%
7	79038	7.7%
3	79020	7.7%
6	78968	7.7%
8	78914	7.7%
2	78793	7.7%
1	78738	7.7%
10	78596	7.7%
4	78522	7.7%
9	78367	7.6%
5	78307	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	78738	7.7%
2	78793	7.7%
3	79020	7.7%
4	78522	7.7%
5	78307	7.6%
6	78968	7.7%
7	79038	7.7%
8	78914	7.7%
9	78367	7.6%
10	78596	7.7%

Value	Count	Frequency (%)
13	79206	7.7%
12	79237	7.7%
11	79304	7.7%
10	78596	7.7%
9	78367	7.6%
8	78914	7.7%
7	79038	7.7%
6	78968	7.7%
5	78307	7.6%
4	78522	7.7%

att_5
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.8 MiB

3	256901
4	256531
1	256331
2	255247

Value	Count	Frequency (%)
3	256901	25.1%
4	256531	25.0%
1	256331	25.0%
2	255247	24.9%

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories (?)	2
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 (%)
.	1025010	33.3%
0	1025010	33.3%
3	256901	8.4%
4	256531	8.3%
1	256331	8.3%
2	255247	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2050020	66.7%
Other Punctuation	1025010	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1025010	50.0%
3	256901	12.5%
4	256531	12.5%
1	256331	12.5%
2	255247	12.5%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1025010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3075030	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
3	256901	8.4%
4	256531	8.3%
1	256331	8.3%
2	255247	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3075030	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
3	256901	8.4%
4	256531	8.3%
1	256331	8.3%
2	255247	8.3%

att_6
Real number (ℝ_≥0)

Distinct count	13
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.99924586101599
Minimum	1.0
Maximum	13.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	13
Maximum	13
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.74196432
Coefficient of variation (CV)	0.5346239287
Kurtosis	-1.213944154
Mean	6.999245861
Median Absolute Deviation (MAD)	3
Skewness	-0.0003795025901
Sum	7174297
Variance	14.00229697

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	79444	7.8%
10	79073	7.7%
1	79069	7.7%
2	78969	7.7%
8	78905	7.7%
5	78871	7.7%
11	78865	7.7%
12	78855	7.7%
13	78765	7.7%
4	78748	7.7%
6	78587	7.7%
3	78518	7.7%
9	78341	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	79069	7.7%
2	78969	7.7%
3	78518	7.7%
4	78748	7.7%
5	78871	7.7%
6	78587	7.7%
7	79444	7.8%
8	78905	7.7%
9	78341	7.6%
10	79073	7.7%

Value	Count	Frequency (%)
13	78765	7.7%
12	78855	7.7%
11	78865	7.7%
10	79073	7.7%
9	78341	7.6%
8	78905	7.7%
7	79444	7.8%
6	78587	7.7%
5	78871	7.7%
4	78748	7.7%

att_7
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.8 MiB

3	256914
2	256530
4	255816
1	255750

Value	Count	Frequency (%)
3	256914	25.1%
2	256530	25.0%
4	255816	25.0%
1	255750	25.0%

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories (?)	2
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 (%)
.	1025010	33.3%
0	1025010	33.3%
3	256914	8.4%
2	256530	8.3%
4	255816	8.3%
1	255750	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2050020	66.7%
Other Punctuation	1025010	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1025010	50.0%
3	256914	12.5%
2	256530	12.5%
4	255816	12.5%
1	255750	12.5%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1025010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3075030	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
3	256914	8.4%
2	256530	8.3%
4	255816	8.3%
1	255750	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3075030	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
3	256914	8.4%
2	256530	8.3%
4	255816	8.3%
1	255750	8.3%

att_8
Real number (ℝ_≥0)

Distinct count	13
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.000838040604482
Minimum	1.0
Maximum	13.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	13
Maximum	13
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.74142301
Coefficient of variation (CV)	0.5344250201
Kurtosis	-1.214147951
Mean	7.000838041
Median Absolute Deviation (MAD)	3
Skewness	-0.0005056426607
Sum	7175929
Variance	13.99824614

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	79524	7.8%
2	79075	7.7%
9	79036	7.7%
11	78895	7.7%
12	78853	7.7%
13	78834	7.7%
4	78790	7.7%
10	78763	7.7%
3	78749	7.7%
1	78717	7.7%
5	78698	7.7%
8	78582	7.7%
6	78494	7.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	78717	7.7%
2	79075	7.7%
3	78749	7.7%
4	78790	7.7%
5	78698	7.7%
6	78494	7.7%
7	79524	7.8%
8	78582	7.7%
9	79036	7.7%
10	78763	7.7%

Value	Count	Frequency (%)
13	78834	7.7%
12	78853	7.7%
11	78895	7.7%
10	78763	7.7%
9	79036	7.7%
8	78582	7.7%
7	79524	7.8%
6	78494	7.7%
5	78698	7.7%
4	78790	7.7%

att_9
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.8 MiB

1	257063
4	256483
3	255986
2	255478

Value	Count	Frequency (%)
1	257063	25.1%
4	256483	25.0%
3	255986	25.0%
2	255478	24.9%

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories (?)	2
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 (%)
.	1025010	33.3%
0	1025010	33.3%
1	257063	8.4%
4	256483	8.3%
3	255986	8.3%
2	255478	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2050020	66.7%
Other Punctuation	1025010	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1025010	50.0%
1	257063	12.5%
4	256483	12.5%
3	255986	12.5%
2	255478	12.5%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1025010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3075030	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
1	257063	8.4%
4	256483	8.3%
3	255986	8.3%
2	255478	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3075030	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1025010	33.3%
0	1025010	33.3%
1	257063	8.4%
4	256483	8.3%
3	255986	8.3%
2	255478	8.3%

att_10
Real number (ℝ_≥0)

Distinct count	13
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.98882840167413
Minimum	1.0
Maximum	13.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	13
Maximum	13
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.739935723
Coefficient of variation (CV)	0.5351305695
Kurtosis	-1.214092216
Mean	6.988828402
Median Absolute Deviation (MAD)	3
Skewness	0.003976262213
Sum	7163619
Variance	13.98711921

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	79480	7.8%
2	79379	7.7%
4	79200	7.7%
9	79200	7.7%
8	79040	7.7%
10	78924	7.7%
5	78787	7.7%
6	78761	7.7%
1	78707	7.7%
7	78515	7.7%
13	78479	7.7%
12	78303	7.6%
11	78235	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	78707	7.7%
2	79379	7.7%
3	79480	7.8%
4	79200	7.7%
5	78787	7.7%
6	78761	7.7%
7	78515	7.7%
8	79040	7.7%
9	79200	7.7%
10	78924	7.7%

Value	Count	Frequency (%)
13	78479	7.7%
12	78303	7.6%
11	78235	7.6%
10	78924	7.7%
9	79200	7.7%
8	79040	7.7%
7	78515	7.7%
6	78761	7.7%
5	78787	7.7%
4	79200	7.7%

target
Real number (ℝ_≥0)

ZEROS

Distinct count	10
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6170056877493878
Minimum	0.0
Maximum	9.0
Zeros	513702
Zeros (%)	50.1%
Memory size	7.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7737462783
Coefficient of variation (CV)	1.254034272
Kurtosis	7.738836538
Mean	0.6170056877
Median Absolute Deviation (MAD)	0
Skewness	2.006835438
Sum	632437
Variance	0.5986833031

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	513702	50.1%
1	433097	42.3%
2	48828	4.8%
3	21634	2.1%
4	3978	0.4%
5	2050	0.2%
6	1460	0.1%
7	236	< 0.1%
8	17	< 0.1%
9	8	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	513702	50.1%
1	433097	42.3%
2	48828	4.8%
3	21634	2.1%
4	3978	0.4%
5	2050	0.2%
6	1460	0.1%
7	236	< 0.1%
8	17	< 0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
9	8	< 0.1%
8	17	< 0.1%
7	236	< 0.1%
6	1460	0.1%
5	2050	0.2%
4	3978	0.4%
3	21634	2.1%
2	48828	4.8%
1	433097	42.3%
0	513702	50.1%

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

	att_1	att_2	att_3	att_4	att_5	att_6	att_7	att_8	att_9	att_10	target
0	1.0	10.0	1.0	11.0	1.0	13.0	1.0	12.0	1.0	1.0	9.0
1	2.0	11.0	2.0	13.0	2.0	10.0	2.0	12.0	2.0	1.0	9.0
2	3.0	12.0	3.0	11.0	3.0	13.0	3.0	10.0	3.0	1.0	9.0
3	4.0	10.0	4.0	11.0	4.0	1.0	4.0	13.0	4.0	12.0	9.0
4	4.0	1.0	4.0	13.0	4.0	12.0	4.0	11.0	4.0	10.0	9.0
5	1.0	2.0	1.0	4.0	1.0	5.0	1.0	3.0	1.0	6.0	8.0
6	1.0	9.0	1.0	12.0	1.0	10.0	1.0	11.0	1.0	13.0	8.0
7	2.0	1.0	2.0	2.0	2.0	3.0	2.0	4.0	2.0	5.0	8.0
8	3.0	5.0	3.0	6.0	3.0	9.0	3.0	7.0	3.0	8.0	8.0
9	4.0	1.0	4.0	4.0	4.0	2.0	4.0	3.0	4.0	5.0	8.0

Last rows

	att_1	att_2	att_3	att_4	att_5	att_6	att_7	att_8	att_9	att_10	target
1025000	2.0	12.0	4.0	3.0	1.0	3.0	3.0	5.0	3.0	2.0	1.0
1025001	1.0	4.0	4.0	8.0	4.0	5.0	3.0	9.0	2.0	1.0	0.0
1025002	1.0	9.0	3.0	6.0	2.0	8.0	3.0	5.0	2.0	9.0	1.0
1025003	1.0	12.0	3.0	9.0	3.0	6.0	1.0	3.0	1.0	9.0	1.0
1025004	3.0	7.0	1.0	6.0	4.0	12.0	2.0	1.0	1.0	4.0	0.0
1025005	3.0	1.0	1.0	12.0	2.0	9.0	4.0	9.0	2.0	6.0	1.0
1025006	3.0	3.0	4.0	5.0	2.0	7.0	1.0	4.0	4.0	3.0	1.0
1025007	1.0	11.0	4.0	7.0	3.0	9.0	1.0	13.0	2.0	7.0	1.0
1025008	3.0	11.0	1.0	8.0	1.0	1.0	3.0	13.0	2.0	8.0	1.0
1025009	2.0	5.0	2.0	9.0	4.0	9.0	2.0	3.0	3.0	3.0	2.0

Most frequent

	att_1	att_2	att_3	att_4	att_5	att_6	att_7	att_8	att_9	att_10	target	count
410	1.0	10.0	2.0	3.0	3.0	6.0	3.0	12.0	2.0	4.0	0.0	3
911	2.0	9.0	1.0	1.0	2.0	10.0	3.0	4.0	4.0	13.0	0.0	3
2027	4.0	8.0	3.0	8.0	2.0	2.0	4.0	1.0	2.0	7.0	1.0	3
0	1.0	1.0	1.0	3.0	1.0	6.0	2.0	7.0	4.0	12.0	0.0	2
1	1.0	1.0	1.0	3.0	3.0	4.0	4.0	2.0	3.0	10.0	0.0	2
2	1.0	1.0	1.0	10.0	2.0	11.0	2.0	10.0	3.0	2.0	1.0	2
3	1.0	1.0	1.0	12.0	3.0	12.0	4.0	13.0	1.0	11.0	1.0	2
4	1.0	1.0	2.0	1.0	1.0	8.0	4.0	2.0	2.0	8.0	2.0	2
5	1.0	1.0	2.0	1.0	3.0	3.0	3.0	5.0	4.0	9.0	1.0	2
6	1.0	1.0	2.0	2.0	4.0	7.0	3.0	11.0	2.0	8.0	0.0	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most frequent Other Punctuation 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 frequent Other Punctuation 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 frequent Other Punctuation 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 frequent Other Punctuation 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 frequent Other Punctuation 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

Duplicate rows

Most frequent