Overview

Dataset statistics

Number of variables23
Number of observations160
Missing cells2020
Missing cells (%)54.9%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory30.9 KiB
Average record size in memory197.8 B

Variable types

Categorical1
Numeric1
Text9
Unsupported12

Dataset

Description한국주택금융공사에서 발행한 지급방식별 주택담보노후연금보증 잔액 현황에 대한 설명입니다. 공공데이터 개방정책에 따라 등록되었습니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15073701/fileData.do

Alerts

Dataset has 1 (0.6%) duplicate rowsDuplicates
has 10 (6.2%) missing valuesMissing
종신지급방식2)건수 has 10 (6.2%) missing valuesMissing
종신지급방식3)연금지급액5) has 10 (6.2%) missing valuesMissing
종신지급방식4)보증공급액6) has 10 (6.2%) missing valuesMissing
종신혼합방식3)건수 has 10 (6.2%) missing valuesMissing
종신혼합방식4)연금지급액5) has 10 (6.2%) missing valuesMissing
종신혼합방식5)보증공급액6) has 10 (6.2%) missing valuesMissing
기타4)건수 has 10 (6.2%) missing valuesMissing
기타5)연금지급액5) has 10 (6.2%) missing valuesMissing
기타6)보증공급액6) has 10 (6.2%) missing valuesMissing
Unnamed: 11 has 160 (100.0%) missing valuesMissing
Unnamed: 12 has 160 (100.0%) missing valuesMissing
Unnamed: 13 has 160 (100.0%) missing valuesMissing
Unnamed: 14 has 160 (100.0%) missing valuesMissing
Unnamed: 15 has 160 (100.0%) missing valuesMissing
Unnamed: 16 has 160 (100.0%) missing valuesMissing
Unnamed: 17 has 160 (100.0%) missing valuesMissing
Unnamed: 18 has 160 (100.0%) missing valuesMissing
Unnamed: 19 has 160 (100.0%) missing valuesMissing
Unnamed: 20 has 160 (100.0%) missing valuesMissing
Unnamed: 21 has 160 (100.0%) missing valuesMissing
Unnamed: 22 has 160 (100.0%) missing valuesMissing
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 03:55:07.179238
Analysis finished2023-12-12 03:55:07.654684
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

Distinct14
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2008
12 
2009
12 
2010
12 
2011
12 
2012
12 
Other values (9)
100 

Length

Max length6
Median length4
Mean length4.15
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2008
2nd row2008
3rd row2008
4th row2008
5th row2008

Common Values

ValueCountFrequency (%)
2008 12
 
7.5%
2009 12
 
7.5%
2010 12
 
7.5%
2011 12
 
7.5%
2012 12
 
7.5%
2013 12
 
7.5%
2014 12
 
7.5%
2015 12
 
7.5%
2016 12
 
7.5%
20177) 12
 
7.5%
Other values (4) 40
25.0%

Length

2023-12-12T12:55:07.775697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008 12
 
7.5%
2009 12
 
7.5%
2010 12
 
7.5%
2011 12
 
7.5%
2012 12
 
7.5%
2013 12
 
7.5%
2014 12
 
7.5%
2015 12
 
7.5%
2016 12
 
7.5%
20177 12
 
7.5%
Other values (4) 40
25.0%


Real number (ℝ)

MISSING 

Distinct12
Distinct (%)8.0%
Missing10
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean6.38
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T12:55:07.966739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4615239
Coefficient of variation (CV)0.5425586
Kurtosis-1.2127331
Mean6.38
Median Absolute Deviation (MAD)3
Skewness0.053050668
Sum957
Variance11.982148
MonotonicityNot monotonic
2023-12-12T12:55:08.133440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 13
8.1%
2 13
8.1%
3 13
8.1%
4 13
8.1%
5 13
8.1%
6 13
8.1%
7 12
7.5%
8 12
7.5%
9 12
7.5%
10 12
7.5%
Other values (2) 24
15.0%
ValueCountFrequency (%)
1 13
8.1%
2 13
8.1%
3 13
8.1%
4 13
8.1%
5 13
8.1%
6 13
8.1%
7 12
7.5%
8 12
7.5%
9 12
7.5%
10 12
7.5%
ValueCountFrequency (%)
12 12
7.5%
11 12
7.5%
10 12
7.5%
9 12
7.5%
8 12
7.5%
7 12
7.5%
6 13
8.1%
5 13
8.1%
4 13
8.1%
3 13
8.1%
Distinct150
Distinct (%)100.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:08.609470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.5333333
Min length4

Characters and Unicode

Total characters980
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row448
2nd row464
3rd row491
4th row509
5th row535
ValueCountFrequency (%)
2,478 1
 
0.7%
26,341 1
 
0.7%
18,516 1
 
0.7%
19,088 1
 
0.7%
19,555 1
 
0.7%
20,057 1
 
0.7%
20,460 1
 
0.7%
21,021 1
 
0.7%
21,444 1
 
0.7%
21,783 1
 
0.7%
Other values (140) 140
93.3%
2023-12-12T12:55:09.351972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
19.0%
, 132
13.5%
1 92
9.4%
3 86
8.8%
2 84
8.6%
5 63
 
6.4%
4 62
 
6.3%
8 61
 
6.2%
0 60
 
6.1%
9 54
 
5.5%
Other values (2) 100
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 662
67.6%
Space Separator 186
 
19.0%
Other Punctuation 132
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 92
13.9%
3 86
13.0%
2 84
12.7%
5 63
9.5%
4 62
9.4%
8 61
9.2%
0 60
9.1%
9 54
8.2%
6 54
8.2%
7 46
6.9%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
186
19.0%
, 132
13.5%
1 92
9.4%
3 86
8.8%
2 84
8.6%
5 63
 
6.4%
4 62
 
6.3%
8 61
 
6.2%
0 60
 
6.1%
9 54
 
5.5%
Other values (2) 100
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
19.0%
, 132
13.5%
1 92
9.4%
3 86
8.8%
2 84
8.6%
5 63
 
6.4%
4 62
 
6.3%
8 61
 
6.2%
0 60
 
6.1%
9 54
 
5.5%
Other values (2) 100
10.2%
Distinct150
Distinct (%)100.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:09.888856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.8333333
Min length3

Characters and Unicode

Total characters875
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row41
2nd row47
3rd row52
4th row58
5th row65
ValueCountFrequency (%)
604 1
 
0.7%
11,878 1
 
0.7%
7,522 1
 
0.7%
7,736 1
 
0.7%
7,966 1
 
0.7%
8,190 1
 
0.7%
8,423 1
 
0.7%
8,666 1
 
0.7%
8,908 1
 
0.7%
9,173 1
 
0.7%
Other values (140) 140
93.3%
2023-12-12T12:55:10.646868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
21.3%
1 104
11.9%
, 103
11.8%
2 71
 
8.1%
3 67
 
7.7%
7 54
 
6.2%
8 52
 
5.9%
6 51
 
5.8%
0 48
 
5.5%
5 47
 
5.4%
Other values (2) 92
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 586
67.0%
Space Separator 186
 
21.3%
Other Punctuation 103
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 104
17.7%
2 71
12.1%
3 67
11.4%
7 54
9.2%
8 52
8.9%
6 51
8.7%
0 48
8.2%
5 47
8.0%
9 47
8.0%
4 45
7.7%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 875
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
186
21.3%
1 104
11.9%
, 103
11.8%
2 71
 
8.1%
3 67
 
7.7%
7 54
 
6.2%
8 52
 
5.9%
6 51
 
5.8%
0 48
 
5.5%
5 47
 
5.4%
Other values (2) 92
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
21.3%
1 104
11.9%
, 103
11.8%
2 71
 
8.1%
3 67
 
7.7%
7 54
 
6.2%
8 52
 
5.9%
6 51
 
5.8%
0 48
 
5.5%
5 47
 
5.4%
Other values (2) 92
10.5%
Distinct150
Distinct (%)100.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:11.213743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.7533333
Min length6

Characters and Unicode

Total characters1163
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row5,230
2nd row5,448
3rd row5,661
4th row5,851
5th row6,140
ValueCountFrequency (%)
36,428 1
 
0.7%
326,255 1
 
0.7%
235,551 1
 
0.7%
241,949 1
 
0.7%
247,244 1
 
0.7%
253,062 1
 
0.7%
257,518 1
 
0.7%
263,778 1
 
0.7%
268,432 1
 
0.7%
272,312 1
 
0.7%
Other values (140) 140
93.3%
2023-12-12T12:55:11.987796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
16.0%
, 150
12.9%
4 107
9.2%
1 107
9.2%
3 98
8.4%
2 96
8.3%
5 85
7.3%
8 72
 
6.2%
7 71
 
6.1%
6 68
 
5.8%
Other values (2) 123
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 827
71.1%
Space Separator 186
 
16.0%
Other Punctuation 150
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 107
12.9%
1 107
12.9%
3 98
11.9%
2 96
11.6%
5 85
10.3%
8 72
8.7%
7 71
8.6%
6 68
8.2%
9 65
7.9%
0 58
7.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
186
16.0%
, 150
12.9%
4 107
9.2%
1 107
9.2%
3 98
8.4%
2 96
8.3%
5 85
7.3%
8 72
 
6.2%
7 71
 
6.1%
6 68
 
5.8%
Other values (2) 123
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
16.0%
, 150
12.9%
4 107
9.2%
1 107
9.2%
3 98
8.4%
2 96
8.3%
5 85
7.3%
8 72
 
6.2%
7 71
 
6.1%
6 68
 
5.8%
Other values (2) 123
10.6%
Distinct150
Distinct (%)100.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:12.627994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.18
Min length3

Characters and Unicode

Total characters927
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row99
2nd row103
3rd row123
4th row152
5th row189
ValueCountFrequency (%)
1,865 1
 
0.7%
10,016 1
 
0.7%
7,616 1
 
0.7%
7,781 1
 
0.7%
7,904 1
 
0.7%
8,092 1
 
0.7%
8,265 1
 
0.7%
8,422 1
 
0.7%
8,579 1
 
0.7%
8,699 1
 
0.7%
Other values (140) 140
93.3%
2023-12-12T12:55:13.389095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
20.1%
, 128
13.8%
1 104
11.2%
3 78
8.4%
4 67
 
7.2%
0 60
 
6.5%
8 56
 
6.0%
6 55
 
5.9%
2 54
 
5.8%
5 52
 
5.6%
Other values (2) 87
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 613
66.1%
Space Separator 186
 
20.1%
Other Punctuation 128
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 104
17.0%
3 78
12.7%
4 67
10.9%
0 60
9.8%
8 56
9.1%
6 55
9.0%
2 54
8.8%
5 52
8.5%
7 44
7.2%
9 43
7.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
186
20.1%
, 128
13.8%
1 104
11.2%
3 78
8.4%
4 67
 
7.2%
0 60
 
6.5%
8 56
 
6.0%
6 55
 
5.9%
2 54
 
5.8%
5 52
 
5.6%
Other values (2) 87
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
20.1%
, 128
13.8%
1 104
11.2%
3 78
8.4%
4 67
 
7.2%
0 60
 
6.5%
8 56
 
6.0%
6 55
 
5.9%
2 54
 
5.8%
5 52
 
5.6%
Other values (2) 87
9.4%
Distinct150
Distinct (%)100.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:13.899804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.98
Min length3

Characters and Unicode

Total characters897
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row11
2nd row12
3rd row15
4th row28
5th row41
ValueCountFrequency (%)
1,176 1
 
0.7%
10,450 1
 
0.7%
7,523 1
 
0.7%
7,693 1
 
0.7%
7,860 1
 
0.7%
8,052 1
 
0.7%
8,244 1
 
0.7%
8,405 1
 
0.7%
8,570 1
 
0.7%
8,737 1
 
0.7%
Other values (140) 140
93.3%
2023-12-12T12:55:14.629889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
20.7%
, 116
12.9%
1 105
11.7%
9 63
 
7.0%
2 57
 
6.4%
3 57
 
6.4%
5 56
 
6.2%
0 56
 
6.2%
7 52
 
5.8%
6 50
 
5.6%
Other values (2) 99
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 595
66.3%
Space Separator 186
 
20.7%
Other Punctuation 116
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 105
17.6%
9 63
10.6%
2 57
9.6%
3 57
9.6%
5 56
9.4%
0 56
9.4%
7 52
8.7%
6 50
8.4%
8 50
8.4%
4 49
8.2%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 897
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
186
20.7%
, 116
12.9%
1 105
11.7%
9 63
 
7.0%
2 57
 
6.4%
3 57
 
6.4%
5 56
 
6.2%
0 56
 
6.2%
7 52
 
5.8%
6 50
 
5.6%
Other values (2) 99
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
20.7%
, 116
12.9%
1 105
11.7%
9 63
 
7.0%
2 57
 
6.4%
3 57
 
6.4%
5 56
 
6.2%
0 56
 
6.2%
7 52
 
5.8%
6 50
 
5.6%
Other values (2) 99
11.0%
Distinct150
Distinct (%)100.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:15.118225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.46
Min length6

Characters and Unicode

Total characters1119
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row1,118
2nd row1,143
3rd row1,376
4th row1,695
5th row2,193
ValueCountFrequency (%)
26,752 1
 
0.7%
122,105 1
 
0.7%
95,647 1
 
0.7%
97,326 1
 
0.7%
98,720 1
 
0.7%
100,919 1
 
0.7%
102,650 1
 
0.7%
104,287 1
 
0.7%
105,856 1
 
0.7%
107,151 1
 
0.7%
Other values (140) 140
93.3%
2023-12-12T12:55:15.771625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
16.6%
, 150
13.4%
1 138
12.3%
6 82
7.3%
7 82
7.3%
2 80
7.1%
5 73
 
6.5%
3 72
 
6.4%
4 72
 
6.4%
0 65
 
5.8%
Other values (2) 119
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 783
70.0%
Space Separator 186
 
16.6%
Other Punctuation 150
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 138
17.6%
6 82
10.5%
7 82
10.5%
2 80
10.2%
5 73
9.3%
3 72
9.2%
4 72
9.2%
0 65
8.3%
8 61
7.8%
9 58
7.4%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
186
16.6%
, 150
13.4%
1 138
12.3%
6 82
7.3%
7 82
7.3%
2 80
7.1%
5 73
 
6.5%
3 72
 
6.4%
4 72
 
6.4%
0 65
 
5.8%
Other values (2) 119
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
16.6%
, 150
13.4%
1 138
12.3%
6 82
7.3%
7 82
7.3%
2 80
7.1%
5 73
 
6.5%
3 72
 
6.4%
4 72
 
6.4%
0 65
 
5.8%
Other values (2) 119
10.6%

기타4)건수
Text

MISSING 

Distinct86
Distinct (%)57.3%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:16.095006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4666667
Min length3

Characters and Unicode

Total characters670
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)56.7%

Sample

1st row -
2nd row -
3rd row -
4th row -
5th row -
ValueCountFrequency (%)
65
43.3%
4,656 1
 
0.7%
4,430 1
 
0.7%
5,675 1
 
0.7%
5,555 1
 
0.7%
5,376 1
 
0.7%
5,219 1
 
0.7%
5,006 1
 
0.7%
4,820 1
 
0.7%
6,807 1
 
0.7%
Other values (76) 76
50.7%
2023-12-12T12:55:16.675164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
37.5%
- 65
 
9.7%
, 50
 
7.5%
7 42
 
6.3%
4 40
 
6.0%
6 33
 
4.9%
8 30
 
4.5%
5 29
 
4.3%
2 27
 
4.0%
1 27
 
4.0%
Other values (3) 76
 
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
45.4%
Space Separator 251
37.5%
Dash Punctuation 65
 
9.7%
Other Punctuation 50
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 42
13.8%
4 40
13.2%
6 33
10.9%
8 30
9.9%
5 29
9.5%
2 27
8.9%
1 27
8.9%
9 26
8.6%
0 26
8.6%
3 24
7.9%
Space Separator
ValueCountFrequency (%)
251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
251
37.5%
- 65
 
9.7%
, 50
 
7.5%
7 42
 
6.3%
4 40
 
6.0%
6 33
 
4.9%
8 30
 
4.5%
5 29
 
4.3%
2 27
 
4.0%
1 27
 
4.0%
Other values (3) 76
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
37.5%
- 65
 
9.7%
, 50
 
7.5%
7 42
 
6.3%
4 40
 
6.0%
6 33
 
4.9%
8 30
 
4.5%
5 29
 
4.3%
2 27
 
4.0%
1 27
 
4.0%
Other values (3) 76
 
11.3%
Distinct84
Distinct (%)56.0%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:16.994310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4666667
Min length3

Characters and Unicode

Total characters670
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)54.0%

Sample

1st row -
2nd row -
3rd row -
4th row -
5th row -
ValueCountFrequency (%)
65
43.3%
858 2
 
1.3%
839 2
 
1.3%
3,073 1
 
0.7%
4,992 1
 
0.7%
2,779 1
 
0.7%
2,719 1
 
0.7%
2,640 1
 
0.7%
2,570 1
 
0.7%
2,496 1
 
0.7%
Other values (74) 74
49.3%
2023-12-12T12:55:17.552400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
37.5%
- 65
 
9.7%
, 50
 
7.5%
8 44
 
6.6%
1 41
 
6.1%
3 38
 
5.7%
9 34
 
5.1%
2 34
 
5.1%
4 33
 
4.9%
6 22
 
3.3%
Other values (3) 58
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
45.4%
Space Separator 251
37.5%
Dash Punctuation 65
 
9.7%
Other Punctuation 50
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 44
14.5%
1 41
13.5%
3 38
12.5%
9 34
11.2%
2 34
11.2%
4 33
10.9%
6 22
7.2%
5 20
6.6%
7 20
6.6%
0 18
5.9%
Space Separator
ValueCountFrequency (%)
251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
251
37.5%
- 65
 
9.7%
, 50
 
7.5%
8 44
 
6.6%
1 41
 
6.1%
3 38
 
5.7%
9 34
 
5.1%
2 34
 
5.1%
4 33
 
4.9%
6 22
 
3.3%
Other values (3) 58
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
37.5%
- 65
 
9.7%
, 50
 
7.5%
8 44
 
6.6%
1 41
 
6.1%
3 38
 
5.7%
9 34
 
5.1%
2 34
 
5.1%
4 33
 
4.9%
6 22
 
3.3%
Other values (3) 58
 
8.7%
Distinct86
Distinct (%)57.3%
Missing10
Missing (%)6.2%
Memory size1.4 KiB
2023-12-12T12:55:17.916016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.2666667
Min length3

Characters and Unicode

Total characters790
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)56.7%

Sample

1st row -
2nd row -
3rd row -
4th row -
5th row -
ValueCountFrequency (%)
65
43.3%
32,012 1
 
0.7%
30,912 1
 
0.7%
37,070 1
 
0.7%
36,515 1
 
0.7%
35,603 1
 
0.7%
34,833 1
 
0.7%
33,824 1
 
0.7%
32,767 1
 
0.7%
43,444 1
 
0.7%
Other values (76) 76
50.7%
2023-12-12T12:55:18.447934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
31.8%
, 84
 
10.6%
- 65
 
8.2%
4 47
 
5.9%
2 45
 
5.7%
9 41
 
5.2%
1 41
 
5.2%
3 39
 
4.9%
8 39
 
4.9%
5 39
 
4.9%
Other values (3) 99
 
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
49.4%
Space Separator 251
31.8%
Other Punctuation 84
 
10.6%
Dash Punctuation 65
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 47
12.1%
2 45
11.5%
9 41
10.5%
1 41
10.5%
3 39
10.0%
8 39
10.0%
5 39
10.0%
7 33
8.5%
6 33
8.5%
0 33
8.5%
Space Separator
ValueCountFrequency (%)
251
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
251
31.8%
, 84
 
10.6%
- 65
 
8.2%
4 47
 
5.9%
2 45
 
5.7%
9 41
 
5.2%
1 41
 
5.2%
3 39
 
4.9%
8 39
 
4.9%
5 39
 
4.9%
Other values (3) 99
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
31.8%
, 84
 
10.6%
- 65
 
8.2%
4 47
 
5.9%
2 45
 
5.7%
9 41
 
5.2%
1 41
 
5.2%
3 39
 
4.9%
8 39
 
4.9%
5 39
 
4.9%
Other values (3) 99
 
12.5%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing160
Missing (%)100.0%
Memory size1.5 KiB

Sample

년도종신지급방식2)건수종신지급방식3)연금지급액5)종신지급방식4)보증공급액6)종신혼합방식3)건수종신혼합방식4)연금지급액5)종신혼합방식5)보증공급액6)기타4)건수기타5)연금지급액5)기타6)보증공급액6)Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22
020081448415,23099111,118---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
120082464475,448103121,143---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
220083491525,661123151,376---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
320084509585,851152281,695---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
420085535656,140189412,193---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
520086558716,420236592,791---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
620087592796,966273733,222---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
720088609877,198301853,561---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
820089635947,506330963,941---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92008106701027,9263731124,573---<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
년도종신지급방식2)건수종신지급방식3)연금지급액5)종신지급방식4)보증공급액6)종신혼합방식3)건수종신혼합방식4)연금지급액5)종신혼합방식5)보증공급액6)기타4)건수기타5)연금지급액5)기타6)보증공급액6)Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22
150<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
152<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
158<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

년도종신지급방식2)건수종신지급방식3)연금지급액5)종신지급방식4)보증공급액6)종신혼합방식3)건수종신혼합방식4)연금지급액5)종신혼합방식5)보증공급액6)기타4)건수기타5)연금지급액5)기타6)보증공급액6)# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10