1028_SWD

Dataset statistics

Number of variables	11
Number of observations	1000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	720
Duplicate rows (%)	72.0%
Total size in memory	86.1 KiB
Average record size in memory	88.1 B

Variable types

CAT	11

Reproduction

Analysis started	2020-08-24 23:43:44.417970
Analysis finished	2020-08-24 23:43:46.033439
Duration	1.62 second
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

Dataset has 720 (72.0%) duplicate rows

Duplicates

In1
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	438
1	284
3	278

Value	Count	Frequency (%)
2	438	43.8%
1	284	28.4%
3	278	27.8%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
2	438	14.6%
1	284	9.5%
3	278	9.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
2	438	21.9%
1	284	14.2%
3	278	13.9%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	438	14.6%
1	284	9.5%
3	278	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	438	14.6%
1	284	9.5%
3	278	9.3%

In2
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

3	416
2	357
1	227

Value	Count	Frequency (%)
3	416	41.6%
2	357	35.7%
1	227	22.7%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
3	416	13.9%
2	357	11.9%
1	227	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
3	416	20.8%
2	357	17.8%
1	227	11.3%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
3	416	13.9%
2	357	11.9%
1	227	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
3	416	13.9%
2	357	11.9%
1	227	7.6%

In3
Categorical

Distinct count	4
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	306
1	306
3	242
4	146

Value	Count	Frequency (%)
2	306	30.6%
1	306	30.6%
3	242	24.2%
4	146	14.6%

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 (%)
.	1000	33.3%
0	1000	33.3%
1	306	10.2%
2	306	10.2%
3	242	8.1%
4	146	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
1	306	15.3%
2	306	15.3%
3	242	12.1%
4	146	7.3%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
1	306	10.2%
2	306	10.2%
3	242	8.1%
4	146	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
1	306	10.2%
2	306	10.2%
3	242	8.1%
4	146	4.9%

In4
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

1	349
3	327
2	324

Value	Count	Frequency (%)
1	349	34.9%
3	327	32.7%
2	324	32.4%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
1	349	11.6%
3	327	10.9%
2	324	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
1	349	17.4%
3	327	16.4%
2	324	16.2%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
1	349	11.6%
3	327	10.9%
2	324	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
1	349	11.6%
3	327	10.9%
2	324	10.8%

In5
Categorical

Distinct count	4
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	342
3	246
1	241
4	171

Value	Count	Frequency (%)
2	342	34.2%
3	246	24.6%
1	241	24.1%
4	171	17.1%

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 (%)
.	1000	33.3%
0	1000	33.3%
2	342	11.4%
3	246	8.2%
1	241	8.0%
4	171	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
2	342	17.1%
3	246	12.3%
1	241	12.0%
4	171	8.6%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	342	11.4%
3	246	8.2%
1	241	8.0%
4	171	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	342	11.4%
3	246	8.2%
1	241	8.0%
4	171	5.7%

In6
Categorical

Distinct count	2
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

1	545
2	455

Value	Count	Frequency (%)
1	545	54.5%
2	455	45.5%

Length

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

Overview of Unicode Properties

Unique unicode characters	4
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 (%)
.	1000	33.3%
0	1000	33.3%
1	545	18.2%
2	455	15.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
1	545	27.3%
2	455	22.8%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
1	545	18.2%
2	455	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
1	545	18.2%
2	455	15.2%

In7
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	448
1	304
3	248

Value	Count	Frequency (%)
2	448	44.8%
1	304	30.4%
3	248	24.8%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
2	448	14.9%
1	304	10.1%
3	248	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
2	448	22.4%
1	304	15.2%
3	248	12.4%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	448	14.9%
1	304	10.1%
3	248	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	448	14.9%
1	304	10.1%
3	248	8.3%

In8
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	454
3	290
1	256

Value	Count	Frequency (%)
2	454	45.4%
3	290	29.0%
1	256	25.6%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
2	454	15.1%
3	290	9.7%
1	256	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
2	454	22.7%
3	290	14.5%
1	256	12.8%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	454	15.1%
3	290	9.7%
1	256	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	454	15.1%
3	290	9.7%
1	256	8.5%

In9
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	365
3	349
1	286

Value	Count	Frequency (%)
2	365	36.5%
3	349	34.9%
1	286	28.6%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
2	365	12.2%
3	349	11.6%
1	286	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
2	365	18.2%
3	349	17.4%
1	286	14.3%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	365	12.2%
3	349	11.6%
1	286	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
2	365	12.2%
3	349	11.6%
1	286	9.5%

In10
Categorical

Distinct count	3
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

3	396
2	336
1	268

Value	Count	Frequency (%)
3	396	39.6%
2	336	33.6%
1	268	26.8%

Length

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

Overview of Unicode Properties

Unique unicode characters	5
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 (%)
.	1000	33.3%
0	1000	33.3%
3	396	13.2%
2	336	11.2%
1	268	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
3	396	19.8%
2	336	16.8%
1	268	13.4%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
3	396	13.2%
2	336	11.2%
1	268	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
3	396	13.2%
2	336	11.2%
1	268	8.9%

target
Categorical

Distinct count	4
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

4	399
3	352
5	217
2	32

Value	Count	Frequency (%)
4	399	39.9%
3	352	35.2%
5	217	21.7%
2	32	3.2%

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 (%)
.	1000	33.3%
0	1000	33.3%
4	399	13.3%
3	352	11.7%
5	217	7.2%
2	32	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	66.7%
Other Punctuation	1000	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1000	50.0%
4	399	20.0%
3	352	17.6%
5	217	10.8%
2	32	1.6%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
4	399	13.3%
3	352	11.7%
5	217	7.2%
2	32	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
4	399	13.3%
3	352	11.7%
5	217	7.2%
2	32	1.1%

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

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
0	2.0	1.0	1.0	2.0	1.0	1.0	2.0	2.0	1.0	1.0	2.0
1	1.0	2.0	3.0	3.0	2.0	1.0	3.0	1.0	3.0	3.0	5.0
2	3.0	3.0	2.0	1.0	2.0	2.0	3.0	3.0	3.0	3.0	5.0
3	2.0	3.0	4.0	2.0	4.0	2.0	2.0	2.0	1.0	2.0	5.0
4	1.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	3.0
5	2.0	2.0	3.0	2.0	4.0	2.0	2.0	2.0	2.0	1.0	4.0
6	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	4.0
7	1.0	3.0	3.0	1.0	4.0	2.0	1.0	1.0	2.0	3.0	4.0
8	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0
9	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0

Last rows

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
990	2.0	2.0	4.0	2.0	2.0	2.0	2.0	2.0	3.0	3.0	5.0
991	3.0	3.0	3.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	4.0
992	2.0	1.0	3.0	2.0	3.0	1.0	2.0	1.0	3.0	2.0	4.0
993	1.0	3.0	3.0	2.0	2.0	2.0	2.0	1.0	3.0	1.0	4.0
994	2.0	3.0	2.0	3.0	3.0	2.0	1.0	1.0	2.0	1.0	3.0
995	3.0	2.0	1.0	3.0	3.0	1.0	1.0	3.0	3.0	2.0	3.0
996	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0
997	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	4.0
998	2.0	3.0	3.0	2.0	3.0	1.0	3.0	2.0	2.0	3.0	5.0
999	2.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	3.0	3.0	5.0

Most frequent

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target	count
6	1.0	1.0	2.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	3.0	11
87	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0	11
1	1.0	1.0	1.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	3.0	10
129	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0	10
132	2.0	3.0	3.0	1.0	1.0	2.0	1.0	3.0	2.0	2.0	4.0	10
203	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0	10
17	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	3.0	9
19	1.0	2.0	2.0	1.0	1.0	2.0	1.0	2.0	1.0	2.0	3.0	9
34	1.0	3.0	1.0	3.0	1.0	1.0	1.0	3.0	2.0	2.0	3.0	9
116	2.0	2.0	4.0	3.0	3.0	2.0	3.0	2.0	3.0	3.0	5.0	9

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
0	2.0	1.0	1.0	2.0	1.0	1.0	2.0	2.0	1.0	1.0	2.0
1	1.0	2.0	3.0	3.0	2.0	1.0	3.0	1.0	3.0	3.0	5.0
2	3.0	3.0	2.0	1.0	2.0	2.0	3.0	3.0	3.0	3.0	5.0
3	2.0	3.0	4.0	2.0	4.0	2.0	2.0	2.0	1.0	2.0	5.0
4	1.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	3.0
5	2.0	2.0	3.0	2.0	4.0	2.0	2.0	2.0	2.0	1.0	4.0
6	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	4.0
7	1.0	3.0	3.0	1.0	4.0	2.0	1.0	1.0	2.0	3.0	4.0
8	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0
9	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
990	2.0	2.0	4.0	2.0	2.0	2.0	2.0	2.0	3.0	3.0	5.0
991	3.0	3.0	3.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	4.0
992	2.0	1.0	3.0	2.0	3.0	1.0	2.0	1.0	3.0	2.0	4.0
993	1.0	3.0	3.0	2.0	2.0	2.0	2.0	1.0	3.0	1.0	4.0
994	2.0	3.0	2.0	3.0	3.0	2.0	1.0	1.0	2.0	1.0	3.0
995	3.0	2.0	1.0	3.0	3.0	1.0	1.0	3.0	3.0	2.0	3.0
996	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0
997	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	4.0
998	2.0	3.0	3.0	2.0	3.0	1.0	3.0	2.0	2.0	3.0	5.0
999	2.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	3.0	3.0	5.0

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target	count
6	1.0	1.0	2.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	3.0	11
87	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0	11
1	1.0	1.0	1.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	3.0	10
129	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0	10
132	2.0	3.0	3.0	1.0	1.0	2.0	1.0	3.0	2.0	2.0	4.0	10
203	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0	10
17	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	3.0	9
19	1.0	2.0	2.0	1.0	1.0	2.0	1.0	2.0	1.0	2.0	3.0	9
34	1.0	3.0	1.0	3.0	1.0	1.0	1.0	3.0	2.0	2.0	3.0	9
116	2.0	2.0	4.0	3.0	3.0	2.0	3.0	2.0	3.0	3.0	5.0	9

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
0	2.0	1.0	1.0	2.0	1.0	1.0	2.0	2.0	1.0	1.0	2.0
1	1.0	2.0	3.0	3.0	2.0	1.0	3.0	1.0	3.0	3.0	5.0
2	3.0	3.0	2.0	1.0	2.0	2.0	3.0	3.0	3.0	3.0	5.0
3	2.0	3.0	4.0	2.0	4.0	2.0	2.0	2.0	1.0	2.0	5.0
4	1.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	3.0
5	2.0	2.0	3.0	2.0	4.0	2.0	2.0	2.0	2.0	1.0	4.0
6	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	4.0
7	1.0	3.0	3.0	1.0	4.0	2.0	1.0	1.0	2.0	3.0	4.0
8	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0
9	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
990	2.0	2.0	4.0	2.0	2.0	2.0	2.0	2.0	3.0	3.0	5.0
991	3.0	3.0	3.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	4.0
992	2.0	1.0	3.0	2.0	3.0	1.0	2.0	1.0	3.0	2.0	4.0
993	1.0	3.0	3.0	2.0	2.0	2.0	2.0	1.0	3.0	1.0	4.0
994	2.0	3.0	2.0	3.0	3.0	2.0	1.0	1.0	2.0	1.0	3.0
995	3.0	2.0	1.0	3.0	3.0	1.0	1.0	3.0	3.0	2.0	3.0
996	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0
997	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	4.0
998	2.0	3.0	3.0	2.0	3.0	1.0	3.0	2.0	2.0	3.0	5.0
999	2.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	3.0	3.0	5.0

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target	count
6	1.0	1.0	2.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	3.0	11
87	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0	11
1	1.0	1.0	1.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	3.0	10
129	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0	10
132	2.0	3.0	3.0	1.0	1.0	2.0	1.0	3.0	2.0	2.0	4.0	10
203	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0	10
17	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	3.0	9
19	1.0	2.0	2.0	1.0	1.0	2.0	1.0	2.0	1.0	2.0	3.0	9
34	1.0	3.0	1.0	3.0	1.0	1.0	1.0	3.0	2.0	2.0	3.0	9
116	2.0	2.0	4.0	3.0	3.0	2.0	3.0	2.0	3.0	3.0	5.0	9

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

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

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
0	2.0	1.0	1.0	2.0	1.0	1.0	2.0	2.0	1.0	1.0	2.0
1	1.0	2.0	3.0	3.0	2.0	1.0	3.0	1.0	3.0	3.0	5.0
2	3.0	3.0	2.0	1.0	2.0	2.0	3.0	3.0	3.0	3.0	5.0
3	2.0	3.0	4.0	2.0	4.0	2.0	2.0	2.0	1.0	2.0	5.0
4	1.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	3.0
5	2.0	2.0	3.0	2.0	4.0	2.0	2.0	2.0	2.0	1.0	4.0
6	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	4.0
7	1.0	3.0	3.0	1.0	4.0	2.0	1.0	1.0	2.0	3.0	4.0
8	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0
9	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target
990	2.0	2.0	4.0	2.0	2.0	2.0	2.0	2.0	3.0	3.0	5.0
991	3.0	3.0	3.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	4.0
992	2.0	1.0	3.0	2.0	3.0	1.0	2.0	1.0	3.0	2.0	4.0
993	1.0	3.0	3.0	2.0	2.0	2.0	2.0	1.0	3.0	1.0	4.0
994	2.0	3.0	2.0	3.0	3.0	2.0	1.0	1.0	2.0	1.0	3.0
995	3.0	2.0	1.0	3.0	3.0	1.0	1.0	3.0	3.0	2.0	3.0
996	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0
997	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	4.0
998	2.0	3.0	3.0	2.0	3.0	1.0	3.0	2.0	2.0	3.0	5.0
999	2.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	3.0	3.0	5.0

	In1	In2	In3	In4	In5	In6	In7	In8	In9	In10	target	count
6	1.0	1.0	2.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	3.0	11
87	2.0	2.0	1.0	1.0	3.0	1.0	1.0	3.0	1.0	1.0	3.0	11
1	1.0	1.0	1.0	2.0	1.0	1.0	3.0	3.0	1.0	1.0	3.0	10
129	2.0	3.0	2.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	4.0	10
132	2.0	3.0	3.0	1.0	1.0	2.0	1.0	3.0	2.0	2.0	4.0	10
203	3.0	3.0	3.0	2.0	1.0	1.0	2.0	2.0	3.0	2.0	4.0	10
17	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	3.0	2.0	3.0	9
19	1.0	2.0	2.0	1.0	1.0	2.0	1.0	2.0	1.0	2.0	3.0	9
34	1.0	3.0	1.0	3.0	1.0	1.0	1.0	3.0	2.0	2.0	3.0	9
116	2.0	2.0	4.0	3.0	3.0	2.0	3.0	2.0	3.0	3.0	5.0	9