Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	15000
Missing cells	13500
Missing cells (%)	4.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.3 MiB
Average record size in memory	722.0 B

Variable types

Numeric	7
Categorical	10
Text	3

Alerts

`Income` has 2250 (15.0%) missing values	Missing
`Credit Score` has 2250 (15.0%) missing values	Missing
`Loan Amount` has 2250 (15.0%) missing values	Missing
`Assets Value` has 2250 (15.0%) missing values	Missing
`Number of Dependents` has 2250 (15.0%) missing values	Missing
`Previous Defaults` has 2250 (15.0%) missing values	Missing
`Debt-to-Income Ratio` has unique values	Unique
`Years at Current Job` has 727 (4.8%) zeros	Zeros

Reproduction

Analysis started	2025-02-21 22:05:15.953216
Analysis finished	2025-02-21 22:05:29.856394
Duration	13.9 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Age
Real number (ℝ)

Distinct	52
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.452667

Minimum	18
Maximum	69
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	31
median	43
Q3	56
95-th percentile	67
Maximum	69
Range	51
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.910732
Coefficient of variation (CV)	0.34314883
Kurtosis	-1.1850984
Mean	43.452667
Median Absolute Deviation (MAD)	13
Skewness	0.013530622
Sum	651790
Variance	222.32991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43	331	2.2%
34	323	2.2%
30	323	2.2%
40	319	2.1%
64	311	2.1%
45	311	2.1%
46	311	2.1%
62	304	2.0%
66	303	2.0%
33	302	2.0%
Other values (42)	11862	79.1%

Value	Count	Frequency (%)
18	273	1.8%
19	285	1.9%
20	287	1.9%
21	291	1.9%
22	275	1.8%
23	285	1.9%
24	261	1.7%
25	291	1.9%
26	281	1.9%
27	284	1.9%

Value	Count	Frequency (%)
69	282	1.9%
68	284	1.9%
67	265	1.8%
66	303	2.0%
65	285	1.9%
64	311	2.1%
63	255	1.7%
62	304	2.0%
61	299	2.0%
60	267	1.8%

Gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	933.1 KiB

Non-binary	5059
Female	4990
Male	4951

Length

Max length	10
Median length	6
Mean length	6.6889333
Min length	4

Characters and Unicode

Total characters	100334
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Non-binary
4th row	Male
5th row	Non-binary

Common Values

Value	Count	Frequency (%)
Non-binary	5059	33.7%
Female	4990	33.3%
Male	4951	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
non-binary	5059	33.7%
female	4990	33.3%
male	4951	33.0%

Most occurring characters

Value	Count	Frequency (%)
a	15000	15.0%
e	14931	14.9%
n	10118	10.1%
l	9941	9.9%
N	5059	5.0%
o	5059	5.0%
-	5059	5.0%
b	5059	5.0%
i	5059	5.0%
r	5059	5.0%
Other values (4)	19990	19.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100334	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	15000	15.0%
e	14931	14.9%
n	10118	10.1%
l	9941	9.9%
N	5059	5.0%
o	5059	5.0%
-	5059	5.0%
b	5059	5.0%
i	5059	5.0%
r	5059	5.0%
Other values (4)	19990	19.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100334	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	15000	15.0%
e	14931	14.9%
n	10118	10.1%
l	9941	9.9%
N	5059	5.0%
o	5059	5.0%
-	5059	5.0%
b	5059	5.0%
i	5059	5.0%
r	5059	5.0%
Other values (4)	19990	19.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100334	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	15000	15.0%
e	14931	14.9%
n	10118	10.1%
l	9941	9.9%
N	5059	5.0%
o	5059	5.0%
-	5059	5.0%
b	5059	5.0%
i	5059	5.0%
r	5059	5.0%
Other values (4)	19990	19.9%

Education Level
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	952.5 KiB

Bachelor's	3829
High School	3774
PhD	3760
Master's	3637

Length

Max length	11
Median length	10
Mean length	8.012
Min length	3

Characters and Unicode

Total characters	120180
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PhD
2nd row	Bachelor's
3rd row	Master's
4th row	Bachelor's
5th row	Bachelor's

Common Values

Value	Count	Frequency (%)
Bachelor's	3829	25.5%
High School	3774	25.2%
PhD	3760	25.1%
Master's	3637	24.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bachelor's	3829	20.4%
high	3774	20.1%
school	3774	20.1%
phd	3760	20.0%
master's	3637	19.4%

Most occurring characters

Value	Count	Frequency (%)
h	15137	12.6%
o	11377	9.5%
s	11103	9.2%
c	7603	6.3%
l	7603	6.3%
a	7466	6.2%
e	7466	6.2%
r	7466	6.2%
'	7466	6.2%
B	3829	3.2%
Other values (9)	33664	28.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	120180	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	15137	12.6%
o	11377	9.5%
s	11103	9.2%
c	7603	6.3%
l	7603	6.3%
a	7466	6.2%
e	7466	6.2%
r	7466	6.2%
'	7466	6.2%
B	3829	3.2%
Other values (9)	33664	28.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	120180	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	15137	12.6%
o	11377	9.5%
s	11103	9.2%
c	7603	6.3%
l	7603	6.3%
a	7466	6.2%
e	7466	6.2%
r	7466	6.2%
'	7466	6.2%
B	3829	3.2%
Other values (9)	33664	28.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	120180	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	15137	12.6%
o	11377	9.5%
s	11103	9.2%
c	7603	6.3%
l	7603	6.3%
a	7466	6.2%
e	7466	6.2%
r	7466	6.2%
'	7466	6.2%
B	3829	3.2%
Other values (9)	33664	28.0%

Marital Status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	937.7 KiB

Widowed	3893
Divorced	3787
Single	3697
Married	3623

Length

Max length	8
Median length	7
Mean length	7.006
Min length	6

Characters and Unicode

Total characters	105090
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Divorced
2nd row	Widowed
3rd row	Single
4th row	Single
5th row	Widowed

Common Values

Value	Count	Frequency (%)
Widowed	3893	26.0%
Divorced	3787	25.2%
Single	3697	24.6%
Married	3623	24.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
widowed	3893	26.0%
divorced	3787	25.2%
single	3697	24.6%
married	3623	24.2%

Most occurring characters

Value	Count	Frequency (%)
d	15196	14.5%
i	15000	14.3%
e	15000	14.3%
r	11033	10.5%
o	7680	7.3%
W	3893	3.7%
w	3893	3.7%
D	3787	3.6%
v	3787	3.6%
c	3787	3.6%
Other values (6)	22034	21.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	105090	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	15196	14.5%
i	15000	14.3%
e	15000	14.3%
r	11033	10.5%
o	7680	7.3%
W	3893	3.7%
w	3893	3.7%
D	3787	3.6%
v	3787	3.6%
c	3787	3.6%
Other values (6)	22034	21.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	105090	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	15196	14.5%
i	15000	14.3%
e	15000	14.3%
r	11033	10.5%
o	7680	7.3%
W	3893	3.7%
w	3893	3.7%
D	3787	3.6%
v	3787	3.6%
c	3787	3.6%
Other values (6)	22034	21.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	105090	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	15196	14.5%
i	15000	14.3%
e	15000	14.3%
r	11033	10.5%
o	7680	7.3%
W	3893	3.7%
w	3893	3.7%
D	3787	3.6%
v	3787	3.6%
c	3787	3.6%
Other values (6)	22034	21.0%

Income
Real number (ℝ)

Missing

Distinct	11957
Distinct (%)	93.8%
Missing	2250
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	69933.399

Minimum	20005
Maximum	119997
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	20005
5-th percentile	25149
Q1	44281.5
median	69773
Q3	95922.75
95-th percentile	115156.1
Maximum	119997
Range	99992
Interquartile range (IQR)	51641.25

Descriptive statistics

Standard deviation	29163.626
Coefficient of variation (CV)	0.41702001
Kurtosis	-1.2370618
Mean	69933.399
Median Absolute Deviation (MAD)	25792
Skewness	0.010370211
Sum	8.9165083 × 10⁸
Variance	8.5051709 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51174	3	< 0.1%
93511	3	< 0.1%
48390	3	< 0.1%
60888	3	< 0.1%
54890	3	< 0.1%
60533	3	< 0.1%
116185	3	< 0.1%
28301	3	< 0.1%
110027	3	< 0.1%
97195	3	< 0.1%
Other values (11947)	12720	84.8%
(Missing)	2250	15.0%

Value	Count	Frequency (%)
20005	1	< 0.1%
20014	1	< 0.1%
20015	1	< 0.1%
20016	1	< 0.1%
20018	1	< 0.1%
20020	1	< 0.1%
20022	1	< 0.1%
20029	1	< 0.1%
20036	1	< 0.1%
20037	1	< 0.1%

Value	Count	Frequency (%)
119997	1	< 0.1%
119992	1	< 0.1%
119987	1	< 0.1%
119978	1	< 0.1%
119969	1	< 0.1%
119961	1	< 0.1%
119958	1	< 0.1%
119937	1	< 0.1%
119926	1	< 0.1%
119919	1	< 0.1%

Credit Score
Real number (ℝ)

Missing

Distinct	200
Distinct (%)	1.6%
Missing	2250
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	699.1091

Minimum	600
Maximum	799
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	600
5-th percentile	610
Q1	650
median	699
Q3	748
95-th percentile	789
Maximum	799
Range	199
Interquartile range (IQR)	98

Descriptive statistics

Standard deviation	57.229465
Coefficient of variation (CV)	0.081860564
Kurtosis	-1.1821024
Mean	699.1091
Median Absolute Deviation (MAD)	49
Skewness	0.0064413389
Sum	8913641
Variance	3275.2116
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
686	90	0.6%
742	86	0.6%
779	84	0.6%
682	83	0.6%
756	83	0.6%
681	83	0.6%
643	81	0.5%
636	80	0.5%
705	80	0.5%
694	79	0.5%
Other values (190)	11921	79.5%
(Missing)	2250	15.0%

Value	Count	Frequency (%)
600	47	0.3%
601	54	0.4%
602	62	0.4%
603	62	0.4%
604	75	0.5%
605	67	0.4%
606	68	0.5%
607	50	0.3%
608	59	0.4%
609	63	0.4%

Value	Count	Frequency (%)
799	67	0.4%
798	54	0.4%
797	51	0.3%
796	77	0.5%
795	60	0.4%
794	64	0.4%
793	61	0.4%
792	55	0.4%
791	50	0.3%
790	76	0.5%

Loan Amount
Real number (ℝ)

Missing

Distinct	11088
Distinct (%)	87.0%
Missing	2250
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	27450.011

Minimum	5000
Maximum	49998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	5000
5-th percentile	7215
Q1	16352.5
median	27544
Q3	38547.5
95-th percentile	47657.1
Maximum	49998
Range	44998
Interquartile range (IQR)	22195

Descriptive statistics

Standard deviation	12949.94
Coefficient of variation (CV)	0.47176448
Kurtosis	-1.1875131
Mean	27450.011
Median Absolute Deviation (MAD)	11110
Skewness	-0.0014239163
Sum	3.4998764 × 10⁸
Variance	1.6770095 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21659	5	< 0.1%
29107	5	< 0.1%
23083	5	< 0.1%
12375	4	< 0.1%
20698	4	< 0.1%
22031	4	< 0.1%
5207	4	< 0.1%
34317	4	< 0.1%
5785	4	< 0.1%
39421	4	< 0.1%
Other values (11078)	12707	84.7%
(Missing)	2250	15.0%

Value	Count	Frequency (%)
5000	1	< 0.1%
5001	1	< 0.1%
5002	1	< 0.1%
5003	1	< 0.1%
5005	1	< 0.1%
5009	1	< 0.1%
5011	2	< 0.1%
5013	2	< 0.1%
5014	1	< 0.1%
5015	1	< 0.1%

Value	Count	Frequency (%)
49998	1	< 0.1%
49995	1	< 0.1%
49994	1	< 0.1%
49978	1	< 0.1%
49974	1	< 0.1%
49962	2	< 0.1%
49955	1	< 0.1%
49953	1	< 0.1%
49946	1	< 0.1%
49944	1	< 0.1%

Loan Purpose
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	923.0 KiB

Personal	3771
Home	3766
Business	3738
Auto	3725

Length

Max length	8
Median length	8
Mean length	6.0024
Min length	4

Characters and Unicode

Total characters	90036
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Business
2nd row	Auto
3rd row	Home
4th row	Personal
5th row	Personal

Common Values

Value	Count	Frequency (%)
Personal	3771	25.1%
Home	3766	25.1%
Business	3738	24.9%
Auto	3725	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
personal	3771	25.1%
home	3766	25.1%
business	3738	24.9%
auto	3725	24.8%

Most occurring characters

Value	Count	Frequency (%)
s	14985	16.6%
e	11275	12.5%
o	11262	12.5%
n	7509	8.3%
u	7463	8.3%
P	3771	4.2%
r	3771	4.2%
a	3771	4.2%
l	3771	4.2%
H	3766	4.2%
Other values (5)	18692	20.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	90036	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	14985	16.6%
e	11275	12.5%
o	11262	12.5%
n	7509	8.3%
u	7463	8.3%
P	3771	4.2%
r	3771	4.2%
a	3771	4.2%
l	3771	4.2%
H	3766	4.2%
Other values (5)	18692	20.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	90036	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	14985	16.6%
e	11275	12.5%
o	11262	12.5%
n	7509	8.3%
u	7463	8.3%
P	3771	4.2%
r	3771	4.2%
a	3771	4.2%
l	3771	4.2%
H	3766	4.2%
Other values (5)	18692	20.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	90036	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	14985	16.6%
e	11275	12.5%
o	11262	12.5%
n	7509	8.3%
u	7463	8.3%
P	3771	4.2%
r	3771	4.2%
a	3771	4.2%
l	3771	4.2%
H	3766	4.2%
Other values (5)	18692	20.8%

Employment Status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	986.4 KiB

Employed	5026
Self-employed	4991
Unemployed	4983

Length

Max length	13
Median length	10
Mean length	10.328067
Min length	8

Characters and Unicode

Total characters	154921
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unemployed
2nd row	Employed
3rd row	Employed
4th row	Unemployed
5th row	Unemployed

Common Values

Value	Count	Frequency (%)
Employed	5026	33.5%
Self-employed	4991	33.3%
Unemployed	4983	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
employed	5026	33.5%
self-employed	4991	33.3%
unemployed	4983	33.2%

Most occurring characters

Value	Count	Frequency (%)
e	29965	19.3%
l	19991	12.9%
m	15000	9.7%
p	15000	9.7%
o	15000	9.7%
y	15000	9.7%
d	15000	9.7%
E	5026	3.2%
S	4991	3.2%
f	4991	3.2%
Other values (3)	14957	9.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	154921	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	29965	19.3%
l	19991	12.9%
m	15000	9.7%
p	15000	9.7%
o	15000	9.7%
y	15000	9.7%
d	15000	9.7%
E	5026	3.2%
S	4991	3.2%
f	4991	3.2%
Other values (3)	14957	9.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	154921	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	29965	19.3%
l	19991	12.9%
m	15000	9.7%
p	15000	9.7%
o	15000	9.7%
y	15000	9.7%
d	15000	9.7%
E	5026	3.2%
S	4991	3.2%
f	4991	3.2%
Other values (3)	14957	9.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	154921	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	29965	19.3%
l	19991	12.9%
m	15000	9.7%
p	15000	9.7%
o	15000	9.7%
y	15000	9.7%
d	15000	9.7%
E	5026	3.2%
S	4991	3.2%
f	4991	3.2%
Other values (3)	14957	9.7%

Years at Current Job
Real number (ℝ)

Zeros

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.4762667

Minimum	0
Maximum	19
Zeros	727
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	9
Q3	15
95-th percentile	18
Maximum	19
Range	19
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	5.7697073
Coefficient of variation (CV)	0.60885869
Kurtosis	-1.2143885
Mean	9.4762667
Median Absolute Deviation (MAD)	5
Skewness	0.0091804098
Sum	142144
Variance	33.289523
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
18	791	5.3%
5	776	5.2%
12	772	5.1%
1	768	5.1%
3	765	5.1%
4	762	5.1%
2	760	5.1%
16	755	5.0%
6	754	5.0%
8	753	5.0%
Other values (10)	7344	49.0%

Value	Count	Frequency (%)
0	727	4.8%
1	768	5.1%
2	760	5.1%
3	765	5.1%
4	762	5.1%
5	776	5.2%
6	754	5.0%
7	724	4.8%
8	753	5.0%
9	743	5.0%

Value	Count	Frequency (%)
19	717	4.8%
18	791	5.3%
17	753	5.0%
16	755	5.0%
15	744	5.0%
14	707	4.7%
13	745	5.0%
12	772	5.1%
11	741	4.9%
10	743	5.0%

Payment History
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	912.2 KiB

Good	3822
Excellent	3789
Poor	3716
Fair	3673

Length

Max length	9
Median length	4
Mean length	5.263
Min length	4

Characters and Unicode

Total characters	78945
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Poor
2nd row	Fair
3rd row	Fair
4th row	Excellent
5th row	Fair

Common Values

Value	Count	Frequency (%)
Good	3822	25.5%
Excellent	3789	25.3%
Poor	3716	24.8%
Fair	3673	24.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	3822	25.5%
excellent	3789	25.3%
poor	3716	24.8%
fair	3673	24.5%

Most occurring characters

Value	Count	Frequency (%)
o	15076	19.1%
e	7578	9.6%
l	7578	9.6%
r	7389	9.4%
G	3822	4.8%
d	3822	4.8%
E	3789	4.8%
x	3789	4.8%
c	3789	4.8%
n	3789	4.8%
Other values (5)	18524	23.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	78945	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	15076	19.1%
e	7578	9.6%
l	7578	9.6%
r	7389	9.4%
G	3822	4.8%
d	3822	4.8%
E	3789	4.8%
x	3789	4.8%
c	3789	4.8%
n	3789	4.8%
Other values (5)	18524	23.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	78945	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	15076	19.1%
e	7578	9.6%
l	7578	9.6%
r	7389	9.4%
G	3822	4.8%
d	3822	4.8%
E	3789	4.8%
x	3789	4.8%
c	3789	4.8%
n	3789	4.8%
Other values (5)	18524	23.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	78945	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	15076	19.1%
e	7578	9.6%
l	7578	9.6%
r	7389	9.4%
G	3822	4.8%
d	3822	4.8%
E	3789	4.8%
x	3789	4.8%
c	3789	4.8%
n	3789	4.8%
Other values (5)	18524	23.5%

Debt-to-Income Ratio
Real number (ℝ)

Unique

Distinct	15000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.35043806

Minimum	0.10000422
Maximum	0.59996985
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	0.10000422
5-th percentile	0.12537067
Q1	0.22738648
median	0.35075352
Q3	0.47609522
95-th percentile	0.57428033
Maximum	0.59996985
Range	0.49996563
Interquartile range (IQR)	0.24870874

Descriptive statistics

Standard deviation	0.14391929
Coefficient of variation (CV)	0.41068395
Kurtosis	-1.1978789
Mean	0.35043806
Median Absolute Deviation (MAD)	0.12427928
Skewness	-0.011435115
Sum	5256.5709
Variance	0.020712761
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1543132963	1	< 0.1%
0.5328086865	1	< 0.1%
0.2406470849	1	< 0.1%
0.4163195588	1	< 0.1%
0.2759763504	1	< 0.1%
0.1562104852	1	< 0.1%
0.2850615978	1	< 0.1%
0.1941009127	1	< 0.1%
0.5072159853	1	< 0.1%
0.2640882466	1	< 0.1%
Other values (14990)	14990	99.9%

Value	Count	Frequency (%)
0.1000042161	1	< 0.1%
0.1000234349	1	< 0.1%
0.1001350612	1	< 0.1%
0.1001616158	1	< 0.1%
0.1002870058	1	< 0.1%
0.1003148752	1	< 0.1%
0.1003470894	1	< 0.1%
0.1003823832	1	< 0.1%
0.1004792799	1	< 0.1%
0.1005107495	1	< 0.1%

Value	Count	Frequency (%)
0.599969848	1	< 0.1%
0.5998844824	1	< 0.1%
0.5998795932	1	< 0.1%
0.5998588615	1	< 0.1%
0.5998449387	1	< 0.1%
0.5998247672	1	< 0.1%
0.5998094475	1	< 0.1%
0.5997805408	1	< 0.1%
0.5997803307	1	< 0.1%
0.5997275398	1	< 0.1%

Assets Value
Real number (ℝ)

Missing

Distinct	12470
Distinct (%)	97.8%
Missing	2250
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	159741.5

Minimum	20055
Maximum	299999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	20055
5-th percentile	33818.1
Q1	90635.25
median	159362
Q3	228707
95-th percentile	285427.55
Maximum	299999
Range	279944
Interquartile range (IQR)	138071.75

Descriptive statistics

Standard deviation	80298.116
Coefficient of variation (CV)	0.50267537
Kurtosis	-1.1844727
Mean	159741.5
Median Absolute Deviation (MAD)	69001.5
Skewness	0.0016292646
Sum	2.0367041 × 10⁹
Variance	6.4477874 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69109	3	< 0.1%
139190	3	< 0.1%
128601	3	< 0.1%
264709	3	< 0.1%
176811	3	< 0.1%
172134	2	< 0.1%
48902	2	< 0.1%
203383	2	< 0.1%
253123	2	< 0.1%
253074	2	< 0.1%
Other values (12460)	12725	84.8%
(Missing)	2250	15.0%

Value	Count	Frequency (%)
20055	1	< 0.1%
20104	1	< 0.1%
20125	1	< 0.1%
20163	1	< 0.1%
20169	1	< 0.1%
20179	1	< 0.1%
20193	1	< 0.1%
20199	2	< 0.1%
20203	1	< 0.1%
20233	1	< 0.1%

Value	Count	Frequency (%)
299999	1	< 0.1%
299945	1	< 0.1%
299908	1	< 0.1%
299907	1	< 0.1%
299895	1	< 0.1%
299886	1	< 0.1%
299870	1	< 0.1%
299842	1	< 0.1%
299838	1	< 0.1%
299826	1	< 0.1%

Number of Dependents
Categorical

Missing

Distinct	5
Distinct (%)	< 0.1%
Missing	2250
Missing (%)	15.0%
Memory size	887.8 KiB

4.0	2613
1.0	2590
3.0	2588
2.0	2516
0.0	2443

Length

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

Characters and Unicode

Total characters	38250
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	3.0
4th row	3.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
4.0	2613	17.4%
1.0	2590	17.3%
3.0	2588	17.3%
2.0	2516	16.8%
0.0	2443	16.3%
(Missing)	2250	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	2613	20.5%
1.0	2590	20.3%
3.0	2588	20.3%
2.0	2516	19.7%
0.0	2443	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	15193	39.7%
.	12750	33.3%
4	2613	6.8%
1	2590	6.8%
3	2588	6.8%
2	2516	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38250	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15193	39.7%
.	12750	33.3%
4	2613	6.8%
1	2590	6.8%
3	2588	6.8%
2	2516	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38250	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15193	39.7%
.	12750	33.3%
4	2613	6.8%
1	2590	6.8%
3	2588	6.8%
2	2516	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38250	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15193	39.7%
.	12750	33.3%
4	2613	6.8%
1	2590	6.8%
3	2588	6.8%
2	2516	6.6%

City
Text

Distinct	10614
Distinct (%)	70.8%
Missing	0
Missing (%)	0.0%
Memory size	1011.2 KiB

Length

Max length	23
Median length	20
Mean length	12.020333
Min length	6

Characters and Unicode

Total characters	180305
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8249 ?
Unique (%)	55.0%

Sample

1st row	Port Elizabeth
2nd row	North Catherine
3rd row	South Scott
4th row	Robinhaven
5th row	New Heather

Value	Count	Frequency (%)
new	1127	5.0%
west	1070	4.8%
port	1062	4.7%
north	1056	4.7%
south	1050	4.7%
east	1038	4.6%
lake	1036	4.6%
michael	93	0.4%
christopher	61	0.3%
jennifer	57	0.3%
Other values (7339)	14789	65.9%

Most occurring characters

Value	Count	Frequency (%)
e	17515	9.7%
t	14150	7.8%
r	14038	7.8%
a	13864	7.7%
o	12290	6.8%
h	10123	5.6%
n	9830	5.5%
i	8843	4.9%
s	8557	4.7%
	7439	4.1%
Other values (43)	63656	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	180305	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	17515	9.7%
t	14150	7.8%
r	14038	7.8%
a	13864	7.7%
o	12290	6.8%
h	10123	5.6%
n	9830	5.5%
i	8843	4.9%
s	8557	4.7%
	7439	4.1%
Other values (43)	63656	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	180305	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	17515	9.7%
t	14150	7.8%
r	14038	7.8%
a	13864	7.7%
o	12290	6.8%
h	10123	5.6%
n	9830	5.5%
i	8843	4.9%
s	8557	4.7%
	7439	4.1%
Other values (43)	63656	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	180305	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	17515	9.7%
t	14150	7.8%
r	14038	7.8%
a	13864	7.7%
o	12290	6.8%
h	10123	5.6%
n	9830	5.5%
i	8843	4.9%
s	8557	4.7%
	7439	4.1%
Other values (43)	63656	35.3%

State
Text

Distinct	59
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	864.4 KiB

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	30000
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AS
2nd row	OH
3rd row	OK
4th row	PR
5th row	IL

Value	Count	Frequency (%)
co	282	1.9%
ky	279	1.9%
pw	279	1.9%
de	277	1.8%
mp	277	1.8%
wy	276	1.8%
mo	275	1.8%
ct	275	1.8%
vi	275	1.8%
tx	273	1.8%
Other values (49)	12232	81.5%

Most occurring characters

Value	Count	Frequency (%)
A	3215	10.7%
M	3057	10.2%
N	2764	9.2%
I	2248	7.5%
C	1586	5.3%
T	1582	5.3%
D	1503	5.0%
O	1303	4.3%
V	1298	4.3%
S	1281	4.3%
Other values (14)	10163	33.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	3215	10.7%
M	3057	10.2%
N	2764	9.2%
I	2248	7.5%
C	1586	5.3%
T	1582	5.3%
D	1503	5.0%
O	1303	4.3%
V	1298	4.3%
S	1281	4.3%
Other values (14)	10163	33.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	3215	10.7%
M	3057	10.2%
N	2764	9.2%
I	2248	7.5%
C	1586	5.3%
T	1582	5.3%
D	1503	5.0%
O	1303	4.3%
V	1298	4.3%
S	1281	4.3%
Other values (14)	10163	33.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	3215	10.7%
M	3057	10.2%
N	2764	9.2%
I	2248	7.5%
C	1586	5.3%
T	1582	5.3%
D	1503	5.0%
O	1303	4.3%
V	1298	4.3%
S	1281	4.3%
Other values (14)	10163	33.9%

Country
Text

Distinct	243
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	992.0 KiB

Length

Max length	51
Median length	33
Mean length	10.710533
Min length	4

Characters and Unicode

Total characters	160658
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Cyprus
2nd row	Turkmenistan
3rd row	Luxembourg
4th row	Uganda
5th row	Namibia

Value	Count	Frequency (%)
islands	912	3.9%
and	699	3.0%
republic	434	1.9%
saint	431	1.8%
united	314	1.3%
south	266	1.1%
island	248	1.1%
arab	202	0.9%
french	197	0.8%
territory	194	0.8%
Other values (298)	19428	83.3%

Most occurring characters

Value	Count	Frequency (%)
a	22018	13.7%
n	12856	8.0%
i	12793	8.0%
e	11368	7.1%
r	9326	5.8%
	8325	5.2%
o	8129	5.1%
t	6738	4.2%
l	6568	4.1%
s	6235	3.9%
Other values (49)	56302	35.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	160658	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	22018	13.7%
n	12856	8.0%
i	12793	8.0%
e	11368	7.1%
r	9326	5.8%
	8325	5.2%
o	8129	5.1%
t	6738	4.2%
l	6568	4.1%
s	6235	3.9%
Other values (49)	56302	35.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	160658	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	22018	13.7%
n	12856	8.0%
i	12793	8.0%
e	11368	7.1%
r	9326	5.8%
	8325	5.2%
o	8129	5.1%
t	6738	4.2%
l	6568	4.1%
s	6235	3.9%
Other values (49)	56302	35.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	160658	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	22018	13.7%
n	12856	8.0%
i	12793	8.0%
e	11368	7.1%
r	9326	5.8%
	8325	5.2%
o	8129	5.1%
t	6738	4.2%
l	6568	4.1%
s	6235	3.9%
Other values (49)	56302	35.0%

Previous Defaults
Categorical

Missing

Distinct	5
Distinct (%)	< 0.1%
Missing	2250
Missing (%)	15.0%
Memory size	887.8 KiB

0.0	2571
1.0	2569
4.0	2564
2.0	2559
3.0	2487

Length

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

Characters and Unicode

Total characters	38250
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
0.0	2571	17.1%
1.0	2569	17.1%
4.0	2564	17.1%
2.0	2559	17.1%
3.0	2487	16.6%
(Missing)	2250	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	2571	20.2%
1.0	2569	20.1%
4.0	2564	20.1%
2.0	2559	20.1%
3.0	2487	19.5%

Most occurring characters

Value	Count	Frequency (%)
0	15321	40.1%
.	12750	33.3%
1	2569	6.7%
4	2564	6.7%
2	2559	6.7%
3	2487	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38250	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15321	40.1%
.	12750	33.3%
1	2569	6.7%
4	2564	6.7%
2	2559	6.7%
3	2487	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38250	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15321	40.1%
.	12750	33.3%
1	2569	6.7%
4	2564	6.7%
2	2559	6.7%
3	2487	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38250	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15321	40.1%
.	12750	33.3%
1	2569	6.7%
4	2564	6.7%
2	2559	6.7%
3	2487	6.5%

Marital Status Change
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	849.7 KiB

1	5067
0	4978
2	4955

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	5067	33.8%
0	4978	33.2%
2	4955	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5067	33.8%
0	4978	33.2%
2	4955	33.0%

Most occurring characters

Value	Count	Frequency (%)
1	5067	33.8%
0	4978	33.2%
2	4955	33.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5067	33.8%
0	4978	33.2%
2	4955	33.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5067	33.8%
0	4978	33.2%
2	4955	33.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5067	33.8%
0	4978	33.2%
2	4955	33.0%

Risk Rating
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	893.7 KiB

Low	9000
Medium	4500
High	1500

Length

Max length	6
Median length	3
Mean length	4
Min length	3

Characters and Unicode

Total characters	60000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Medium
3rd row	Medium
4th row	Medium
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	9000	60.0%
Medium	4500	30.0%
High	1500	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	9000	60.0%
medium	4500	30.0%
high	1500	10.0%

Most occurring characters

Value	Count	Frequency (%)
L	9000	15.0%
o	9000	15.0%
w	9000	15.0%
i	6000	10.0%
M	4500	7.5%
e	4500	7.5%
d	4500	7.5%
u	4500	7.5%
m	4500	7.5%
H	1500	2.5%
Other values (2)	3000	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	60000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	9000	15.0%
o	9000	15.0%
w	9000	15.0%
i	6000	10.0%
M	4500	7.5%
e	4500	7.5%
d	4500	7.5%
u	4500	7.5%
m	4500	7.5%
H	1500	2.5%
Other values (2)	3000	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	60000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	9000	15.0%
o	9000	15.0%
w	9000	15.0%
i	6000	10.0%
M	4500	7.5%
e	4500	7.5%
d	4500	7.5%
u	4500	7.5%
m	4500	7.5%
H	1500	2.5%
Other values (2)	3000	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	60000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	9000	15.0%
o	9000	15.0%
w	9000	15.0%
i	6000	10.0%
M	4500	7.5%
e	4500	7.5%
d	4500	7.5%
u	4500	7.5%
m	4500	7.5%
H	1500	2.5%
Other values (2)	3000	5.0%

	Age	Assets Value	Credit Score	Debt-to-Income Ratio	Education Level	Employment Status	Gender	Income	Loan Amount	Loan Purpose	Marital Status	Marital Status Change	Number of Dependents	Payment History	Previous Defaults	Risk Rating	Years at Current Job
Age	1.000	-0.008	-0.000	-0.002	0.005	0.004	0.000	-0.001	-0.005	0.000	0.002	0.029	0.000	0.000	0.011	0.000	-0.008
Assets Value	-0.008	1.000	0.014	0.018	0.007	0.018	0.013	-0.009	-0.012	0.003	0.010	0.019	0.000	0.006	0.000	0.000	-0.007
Credit Score	-0.000	0.014	1.000	0.009	0.017	0.003	0.000	0.013	-0.014	0.000	0.000	0.000	0.000	0.015	0.018	0.020	-0.002
Debt-to-Income Ratio	-0.002	0.018	0.009	1.000	0.000	0.000	0.000	-0.001	0.028	0.000	0.000	0.005	0.015	0.018	0.000	0.008	0.009
Education Level	0.005	0.007	0.017	0.000	1.000	0.000	0.010	0.000	0.000	0.006	0.000	0.007	0.007	0.000	0.020	0.000	0.000
Employment Status	0.004	0.018	0.003	0.000	0.000	1.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.006	0.006
Gender	0.000	0.013	0.000	0.000	0.010	0.000	1.000	0.011	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.011	0.021
Income	-0.001	-0.009	0.013	-0.001	0.000	0.009	0.011	1.000	-0.008	0.009	0.000	0.000	0.000	0.000	0.000	0.021	0.008
Loan Amount	-0.005	-0.012	-0.014	0.028	0.000	0.000	0.000	-0.008	1.000	0.017	0.000	0.025	0.012	0.000	0.010	0.000	-0.006
Loan Purpose	0.000	0.003	0.000	0.000	0.006	0.000	0.000	0.009	0.017	1.000	0.000	0.000	0.019	0.007	0.007	0.009	0.000
Marital Status	0.002	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.006	0.000	0.000	0.006
Marital Status Change	0.029	0.019	0.000	0.005	0.007	0.000	0.000	0.000	0.025	0.000	0.000	1.000	0.009	0.000	0.000	0.018	0.015
Number of Dependents	0.000	0.000	0.000	0.015	0.007	0.000	0.000	0.000	0.012	0.019	0.000	0.009	1.000	0.009	0.000	0.000	0.000
Payment History	0.000	0.006	0.015	0.018	0.000	0.000	0.000	0.000	0.000	0.007	0.006	0.000	0.009	1.000	0.007	0.000	0.000
Previous Defaults	0.011	0.000	0.018	0.000	0.020	0.000	0.009	0.000	0.010	0.007	0.000	0.000	0.000	0.007	1.000	0.013	0.000
Risk Rating	0.000	0.000	0.020	0.008	0.000	0.006	0.011	0.021	0.000	0.009	0.000	0.018	0.000	0.000	0.013	1.000	0.005
Years at Current Job	-0.008	-0.007	-0.002	0.009	0.000	0.006	0.021	0.008	-0.006	0.000	0.006	0.015	0.000	0.000	0.000	0.005	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Age	Gender	Education Level	Marital Status	Income	Credit Score	Loan Amount	Loan Purpose	Employment Status	Years at Current Job	Payment History	Debt-to-Income Ratio	Assets Value	Number of Dependents	City	State	Country	Previous Defaults	Marital Status Change	Risk Rating
0	49	Male	PhD	Divorced	72799.0	688.0	45713.0	Business	Unemployed	19	Poor	0.154313	120228.0	0.0	Port Elizabeth	AS	Cyprus	2.0	2	Low
1	57	Female	Bachelor's	Widowed	NaN	690.0	33835.0	Auto	Employed	6	Fair	0.148920	55849.0	0.0	North Catherine	OH	Turkmenistan	3.0	2	Medium
2	21	Non-binary	Master's	Single	55687.0	600.0	36623.0	Home	Employed	8	Fair	0.362398	180700.0	3.0	South Scott	OK	Luxembourg	3.0	2	Medium
3	59	Male	Bachelor's	Single	26508.0	622.0	26541.0	Personal	Unemployed	2	Excellent	0.454964	157319.0	3.0	Robinhaven	PR	Uganda	4.0	2	Medium
4	25	Non-binary	Bachelor's	Widowed	49427.0	766.0	36528.0	Personal	Unemployed	10	Fair	0.143242	287140.0	NaN	New Heather	IL	Namibia	3.0	1	Low
5	30	Non-binary	PhD	Divorced	NaN	717.0	15613.0	Business	Unemployed	5	Fair	0.295984	NaN	4.0	Brianland	TN	Iceland	3.0	1	Medium
6	31	Non-binary	Master's	Widowed	45280.0	672.0	6553.0	Personal	Self-employed	1	Good	0.378890	NaN	NaN	West Lindaview	MD	Bouvet Island (Bouvetoya)	0.0	1	Low
7	18	Male	Bachelor's	Widowed	93678.0	NaN	NaN	Business	Unemployed	10	Poor	0.396636	246597.0	1.0	Melissahaven	MA	Honduras	1.0	1	Low
8	32	Non-binary	Bachelor's	Widowed	20205.0	710.0	NaN	Auto	Unemployed	4	Fair	0.335965	227599.0	0.0	North Beverly	DC	Pitcairn Islands	4.0	2	Low
9	55	Male	Bachelor's	Married	32190.0	600.0	29918.0	Personal	Self-employed	5	Excellent	0.484333	130507.0	4.0	Davidstad	VT	Thailand	NaN	2	Low

	Age	Gender	Education Level	Marital Status	Income	Credit Score	Loan Amount	Loan Purpose	Employment Status	Years at Current Job	Payment History	Debt-to-Income Ratio	Assets Value	Number of Dependents	City	State	Country	Previous Defaults	Marital Status Change	Risk Rating
14990	43	Non-binary	Bachelor's	Widowed	NaN	NaN	18138.0	Personal	Self-employed	12	Fair	0.285903	137146.0	2.0	Roytown	MI	Falkland Islands (Malvinas)	0.0	0	Medium
14991	43	Male	Bachelor's	Married	110352.0	662.0	36790.0	Business	Self-employed	13	Good	0.474802	203890.0	2.0	New Catherine	RI	Cambodia	2.0	1	Low
14992	42	Female	PhD	Single	86480.0	676.0	35735.0	Home	Employed	12	Excellent	0.528514	52746.0	NaN	Debrahaven	IL	Oman	3.0	2	Low
14993	32	Female	PhD	Married	108293.0	649.0	27013.0	Business	Self-employed	8	Excellent	0.362077	157700.0	2.0	Jenniferside	OR	Comoros	NaN	2	Low
14994	40	Male	High School	Married	43655.0	614.0	34565.0	Home	Unemployed	11	Poor	0.399901	32179.0	4.0	Curtismouth	IA	Uzbekistan	1.0	1	Low
14995	23	Non-binary	Bachelor's	Widowed	48088.0	609.0	26187.0	Home	Self-employed	2	Fair	0.317633	NaN	4.0	Susanstad	TN	Djibouti	2.0	0	Low
14996	56	Male	PhD	Single	107193.0	700.0	35111.0	Auto	Self-employed	10	Fair	0.155126	79102.0	NaN	Port Heather	WA	Congo	0.0	0	Medium
14997	29	Non-binary	PhD	Married	46250.0	642.0	44369.0	Home	Unemployed	19	Excellent	0.593999	196930.0	4.0	South Morganchester	LA	Palau	2.0	1	High
14998	53	Non-binary	PhD	Divorced	40180.0	638.0	32752.0	Home	Self-employed	12	Excellent	0.478035	276060.0	NaN	Port Wayne	AK	Rwanda	0.0	2	High
14999	24	Non-binary	Bachelor's	Widowed	NaN	765.0	NaN	Personal	Self-employed	18	Excellent	0.116083	71699.0	3.0	South Stacy	WA	Saint Pierre and Miquelon	3.0	2	Low

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)