credit

Dataset statistics

Number of variables	20
Number of observations	1000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	156.4 KiB
Average record size in memory	160.1 B

Variable types

CAT	11
NUM	6
BOOL	3

Reproduction

Analysis started	2020-08-25 01:20:50.485605
Analysis finished	2020-08-25 01:20:59.316245
Duration	8.83 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`savings_status` has 48 (4.8%) zeros	Zeros
`purpose` has 97 (9.7%) zeros	Zeros
`credit_history` has 49 (4.9%) zeros	Zeros

checking_status
Categorical

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

3	394
1	274
2	269
0	63

Value	Count	Frequency (%)
3	394	39.4%
1	274	27.4%
2	269	26.9%
0	63	6.3%

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 (%)
3	394	39.4%
1	274	27.4%
2	269	26.9%
0	63	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	394	39.4%
1	274	27.4%
2	269	26.9%
0	63	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	394	39.4%
1	274	27.4%
2	269	26.9%
0	63	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	394	39.4%
1	274	27.4%
2	269	26.9%
0	63	6.3%

num_dependents
Categorical

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

1	845
2	155

Value	Count	Frequency (%)
1	845	84.5%
2	155	15.5%

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	845	28.2%
2	155	5.2%

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	845	42.2%
2	155	7.8%

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	845	28.2%
2	155	5.2%

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	845	28.2%
2	155	5.2%

existing_credits
Categorical

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

1	633
2	333
3	28
4	6

Value	Count	Frequency (%)
1	633	63.3%
2	333	33.3%
3	28	2.8%
4	6	0.6%

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	633	21.1%
2	333	11.1%
3	28	0.9%
4	6	0.2%

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	633	31.6%
2	333	16.7%
3	28	1.4%
4	6	0.3%

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	633	21.1%
2	333	11.1%
3	28	0.9%
4	6	0.2%

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	633	21.1%
2	333	11.1%
3	28	0.9%
4	6	0.2%

duration
Real number (ℝ_≥0)

Distinct count	33
Unique (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	20.903
Minimum	4.0
Maximum	72.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	4
5-th percentile	6
Q1	12
median	18
Q3	24
95-th percentile	48
Maximum	72
Range	68
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	12.05881445
Coefficient of variation (CV)	0.5768939603
Kurtosis	0.9197813601
Mean	20.903
Median Absolute Deviation (MAD)	6
Skewness	1.094184172
Sum	20903
Variance	145.415006

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
24	184	18.4%
12	179	17.9%
18	113	11.3%
36	83	8.3%
6	75	7.5%
15	64	6.4%
9	49	4.9%
48	48	4.8%
30	40	4.0%
21	30	3.0%
10	28	2.8%
27	13	1.3%
60	13	1.3%
42	11	1.1%
11	9	0.9%
20	8	0.8%
8	7	0.7%
4	6	0.6%
45	5	0.5%
7	5	0.5%
39	5	0.5%
14	4	0.4%
13	4	0.4%
33	3	0.3%
28	3	0.3%
Other values (8)	11	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	6	0.6%
5	1	0.1%
6	75	7.5%
7	5	0.5%
8	7	0.7%
9	49	4.9%
10	28	2.8%
11	9	0.9%
12	179	17.9%
13	4	0.4%

Value	Count	Frequency (%)
72	1	0.1%
60	13	1.3%
54	2	0.2%
48	48	4.8%
47	1	0.1%
45	5	0.5%
42	11	1.1%
40	1	0.1%
39	5	0.5%
36	83	8.3%

personal_status
Categorical

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

3	548
0	310
2	92
1	50

Value	Count	Frequency (%)
3	548	54.8%
0	310	31.0%
2	92	9.2%
1	50	5.0%

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 (%)
3	548	54.8%
0	310	31.0%
2	92	9.2%
1	50	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	548	54.8%
0	310	31.0%
2	92	9.2%
1	50	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	548	54.8%
0	310	31.0%
2	92	9.2%
1	50	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	548	54.8%
0	310	31.0%
2	92	9.2%
1	50	5.0%

savings_status
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.73
Minimum	0
Maximum	4
Zeros	48
Zeros (%)	4.8%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.232322449
Coefficient of variation (CV)	0.7123251151
Kurtosis	-0.5529271204
Mean	1.73
Median Absolute Deviation (MAD)	0
Skewness	0.958579398
Sum	1730
Variance	1.518618619

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	603	60.3%
4	183	18.3%
2	103	10.3%
3	63	6.3%
0	48	4.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	48	4.8%
1	603	60.3%
2	103	10.3%
3	63	6.3%
4	183	18.3%

Value	Count	Frequency (%)
4	183	18.3%
3	63	6.3%
2	103	10.3%
1	603	60.3%
0	48	4.8%

property_magnitude
Categorical

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

0	332
3	282
1	232
2	154

Value	Count	Frequency (%)
0	332	33.2%
3	282	28.2%
1	232	23.2%
2	154	15.4%

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	332	33.2%
3	282	28.2%
1	232	23.2%
2	154	15.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	332	33.2%
3	282	28.2%
1	232	23.2%
2	154	15.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	332	33.2%
3	282	28.2%
1	232	23.2%
2	154	15.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	332	33.2%
3	282	28.2%
1	232	23.2%
2	154	15.4%

purpose
Real number (ℝ_≥0)

ZEROS

Distinct count	10
Unique (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.484
Minimum	0
Maximum	9
Zeros	97
Zeros (%)	9.7%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	4
Q3	6
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.421075299
Coefficient of variation (CV)	0.5399365075
Kurtosis	-0.3608249899
Mean	4.484
Median Absolute Deviation (MAD)	2
Skewness	0.04015026653
Sum	4484
Variance	5.861605606

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	280	28.0%
4	234	23.4%
3	181	18.1%
9	103	10.3%
0	97	9.7%
2	50	5.0%
7	22	2.2%
5	12	1.2%
1	12	1.2%
8	9	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	97	9.7%
1	12	1.2%
2	50	5.0%
3	181	18.1%
4	234	23.4%
5	12	1.2%
6	280	28.0%
7	22	2.2%
8	9	0.9%
9	103	10.3%

Value	Count	Frequency (%)
9	103	10.3%
8	9	0.9%
7	22	2.2%
6	280	28.0%
5	12	1.2%
4	234	23.4%
3	181	18.1%
2	50	5.0%
1	12	1.2%
0	97	9.7%

own_telephone
Boolean

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

0	596
1	404

Frequency Table

Value	Count	Frequency (%)
0	596	59.6%
1	404	40.4%

job
Categorical

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

1	630
3	200
0	148
2	22

Value	Count	Frequency (%)
1	630	63.0%
3	200	20.0%
0	148	14.8%
2	22	2.2%

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	630	63.0%
3	200	20.0%
0	148	14.8%
2	22	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	630	63.0%
3	200	20.0%
0	148	14.8%
2	22	2.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	630	63.0%
3	200	20.0%
0	148	14.8%
2	22	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	630	63.0%
3	200	20.0%
0	148	14.8%
2	22	2.2%

other_payment_plans
Categorical

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

1	814
0	139
2	47

Value	Count	Frequency (%)
1	814	81.4%
0	139	13.9%
2	47	4.7%

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 (%)
1	814	81.4%
0	139	13.9%
2	47	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	814	81.4%
0	139	13.9%
2	47	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	814	81.4%
0	139	13.9%
2	47	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	814	81.4%
0	139	13.9%
2	47	4.7%

credit_history
Real number (ℝ_≥0)

ZEROS

Distinct count	5
Unique (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.219
Minimum	0
Maximum	4
Zeros	49
Zeros (%)	4.9%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	3
Q3	3
95-th percentile	3
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.064035324
Coefficient of variation (CV)	0.4795111871
Kurtosis	-1.09614756
Mean	2.219
Median Absolute Deviation (MAD)	0
Skewness	-0.4900644499
Sum	2219
Variance	1.132171171

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	530	53.0%
1	293	29.3%
2	88	8.8%
0	49	4.9%
4	40	4.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	49	4.9%
1	293	29.3%
2	88	8.8%
3	530	53.0%
4	40	4.0%

Value	Count	Frequency (%)
4	40	4.0%
3	530	53.0%
2	88	8.8%
1	293	29.3%
0	49	4.9%

other_parties
Categorical

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

2	907
1	52
0	41

Value	Count	Frequency (%)
2	907	90.7%
1	52	5.2%
0	41	4.1%

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	907	90.7%
1	52	5.2%
0	41	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	907	90.7%
1	52	5.2%
0	41	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	907	90.7%
1	52	5.2%
0	41	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	907	90.7%
1	52	5.2%
0	41	4.1%

foreign_worker
Boolean

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

1	963
0	37

Frequency Table

Value	Count	Frequency (%)
1	963	96.3%
0	37	3.7%

credit_amount
Real number (ℝ_≥0)

Distinct count	921
Unique (%)	92.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3271.258
Minimum	250.0
Maximum	18424.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	250
5-th percentile	708.95
Q1	1365.5
median	2319.5
Q3	3972.25
95-th percentile	9162.7
Maximum	18424
Range	18174
Interquartile range (IQR)	2606.75

Descriptive statistics

Standard deviation	2822.736876
Coefficient of variation (CV)	0.8628903241
Kurtosis	4.292590308
Mean	3271.258
Median Absolute Deviation (MAD)	1097.5
Skewness	1.94962768
Sum	3271258
Variance	7967843.471

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1258	3	0.3%
1478	3	0.3%
1393	3	0.3%
1262	3	0.3%
1275	3	0.3%
3017	2	0.2%
701	2	0.2%
1236	2	0.2%
4526	2	0.2%
2333	2	0.2%
1382	2	0.2%
1442	2	0.2%
2978	2	0.2%
2039	2	0.2%
1449	2	0.2%
2578	2	0.2%
1169	2	0.2%
609	2	0.2%
1237	2	0.2%
2171	2	0.2%
2406	2	0.2%
6761	2	0.2%
3349	2	0.2%
1845	2	0.2%
2384	2	0.2%
Other values (896)	945	94.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
250	1	0.1%
276	1	0.1%
338	1	0.1%
339	1	0.1%
343	1	0.1%
362	1	0.1%
368	1	0.1%
385	1	0.1%
392	1	0.1%
409	1	0.1%

Value	Count	Frequency (%)
18424	1	0.1%
15945	1	0.1%
15857	1	0.1%
15672	1	0.1%
15653	1	0.1%
14896	1	0.1%
14782	1	0.1%
14555	1	0.1%
14421	1	0.1%
14318	1	0.1%

age
Real number (ℝ_≥0)

Distinct count	53
Unique (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	35.546
Minimum	19.0
Maximum	75.0
Zeros	0
Zeros (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	19
5-th percentile	22
Q1	27
median	33
Q3	42
95-th percentile	60
Maximum	75
Range	56
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.37546857
Coefficient of variation (CV)	0.3200210593
Kurtosis	0.5957795671
Mean	35.546
Median Absolute Deviation (MAD)	7
Skewness	1.020739269
Sum	35546
Variance	129.4012853

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
27	51	5.1%
26	50	5.0%
23	48	4.8%
24	44	4.4%
28	43	4.3%
25	41	4.1%
35	40	4.0%
30	40	4.0%
36	39	3.9%
31	38	3.8%
29	37	3.7%
32	34	3.4%
33	33	3.3%
34	32	3.2%
37	29	2.9%
22	27	2.7%
40	25	2.5%
38	24	2.4%
42	22	2.2%
39	21	2.1%
46	18	1.8%
47	17	1.7%
41	17	1.7%
44	17	1.7%
43	17	1.7%
Other values (28)	196	19.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	2	0.2%
20	14	1.4%
21	14	1.4%
22	27	2.7%
23	48	4.8%
24	44	4.4%
25	41	4.1%
26	50	5.0%
27	51	5.1%
28	43	4.3%

Value	Count	Frequency (%)
75	2	0.2%
74	4	0.4%
70	1	0.1%
68	3	0.3%
67	3	0.3%
66	5	0.5%
65	5	0.5%
64	5	0.5%
63	8	0.8%
62	2	0.2%

installment_commitment
Categorical

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

4	476
2	231
3	157
1	136

Value	Count	Frequency (%)
4	476	47.6%
2	231	23.1%
3	157	15.7%
1	136	13.6%

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%
4	476	15.9%
2	231	7.7%
3	157	5.2%
1	136	4.5%

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%
4	476	23.8%
2	231	11.6%
3	157	7.8%
1	136	6.8%

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%
4	476	15.9%
2	231	7.7%
3	157	5.2%
1	136	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
4	476	15.9%
2	231	7.7%
3	157	5.2%
1	136	4.5%

residence_since
Categorical

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

4	413
2	308
3	149
1	130

Value	Count	Frequency (%)
4	413	41.3%
2	308	30.8%
3	149	14.9%
1	130	13.0%

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 (%)
.	1000	33.3%
0	1000	33.3%
4	413	13.8%
2	308	10.3%
3	149	5.0%
1	130	4.3%

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%
4	413	20.6%
2	308	15.4%
3	149	7.4%
1	130	6.5%

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	413	13.8%
2	308	10.3%
3	149	5.0%
1	130	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
.	1000	33.3%
0	1000	33.3%
4	413	13.8%
2	308	10.3%
3	149	5.0%
1	130	4.3%

housing
Categorical

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

1	713
2	179
0	108

Value	Count	Frequency (%)
1	713	71.3%
2	179	17.9%
0	108	10.8%

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	713	71.3%
2	179	17.9%
0	108	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	713	71.3%
2	179	17.9%
0	108	10.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	713	71.3%
2	179	17.9%
0	108	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	713	71.3%
2	179	17.9%
0	108	10.8%

target
Boolean

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

1	700
0	300

Frequency Table

Value	Count	Frequency (%)
1	700	70.0%
0	300	30.0%

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

	checking_status	num_dependents	existing_credits	duration	personal_status	savings_status	property_magnitude	purpose	own_telephone	job	other_payment_plans	credit_history	other_parties	foreign_worker	credit_amount	age	installment_commitment	residence_since	housing	target
0	1	1.0	2.0	6.0	3	4	3	6	1	1	1	1	2	1	1169.0	67.0	4.0	4.0	1	1
1	2	1.0	1.0	48.0	0	1	3	6	0	1	1	3	2	1	5951.0	22.0	2.0	2.0	1	0
2	3	2.0	1.0	12.0	3	1	3	2	0	3	1	1	2	1	2096.0	49.0	2.0	3.0	1	1
3	1	2.0	1.0	42.0	3	1	1	3	0	1	1	3	1	1	7882.0	45.0	2.0	4.0	0	1
4	1	2.0	2.0	24.0	3	1	2	4	0	1	1	2	2	1	4870.0	53.0	3.0	4.0	0	0
5	3	2.0	1.0	36.0	3	4	2	2	1	3	1	3	2	1	9055.0	35.0	2.0	4.0	0	1
6	3	1.0	1.0	24.0	3	3	1	3	0	1	1	3	2	1	2835.0	53.0	3.0	4.0	1	1
7	2	1.0	1.0	36.0	3	1	0	9	1	0	1	3	2	1	6948.0	35.0	2.0	2.0	2	1
8	3	1.0	1.0	12.0	1	0	3	6	0	3	1	3	2	1	3059.0	61.0	2.0	4.0	1	1
9	2	1.0	2.0	30.0	2	1	0	4	0	0	1	1	2	1	5234.0	28.0	4.0	2.0	1	0

Last rows

	checking_status	num_dependents	existing_credits	duration	personal_status	savings_status	property_magnitude	purpose	own_telephone	job	other_payment_plans	credit_history	other_parties	foreign_worker	credit_amount	age	installment_commitment	residence_since	housing	target
990	3	2.0	2.0	12.0	3	4	1	2	0	3	1	1	2	1	3565.0	37.0	2.0	1.0	1	1
991	3	2.0	1.0	15.0	3	2	0	6	0	3	0	0	2	1	1569.0	34.0	4.0	4.0	1	1
992	1	1.0	2.0	18.0	2	4	0	6	0	3	1	3	2	1	1936.0	23.0	2.0	4.0	2	1
993	1	1.0	1.0	36.0	3	1	1	3	1	0	1	3	2	1	3959.0	30.0	4.0	3.0	1	1
994	3	1.0	1.0	12.0	3	4	0	4	1	1	1	3	2	1	2390.0	50.0	4.0	3.0	1	1
995	3	1.0	1.0	12.0	0	1	3	3	0	3	1	3	2	1	1736.0	31.0	3.0	4.0	1	1
996	1	1.0	1.0	30.0	1	1	1	9	1	0	1	3	2	1	3857.0	40.0	4.0	4.0	1	1
997	3	1.0	1.0	12.0	3	1	0	6	0	1	1	3	2	1	804.0	38.0	4.0	4.0	1	1
998	1	1.0	1.0	45.0	3	1	2	6	1	1	1	3	2	1	1845.0	23.0	4.0	4.0	0	0
999	2	1.0	1.0	45.0	3	2	0	9	0	1	1	1	2	1	4576.0	27.0	3.0	4.0	1	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 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 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

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 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 occurring scripts