Overview

Dataset statistics

Number of variables3
Number of observations478
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory26.3 B

Variable types

Text1
Categorical1
Numeric1

Dataset

Description한국자산관리공사의 채권 기관별 무담보 채무조정 현황 데이터입니다. 데이터는 금융기관, 년도, 건수로 이루어져 있습니다.
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15088166/fileData.do

Reproduction

Analysis started2023-12-12 08:44:08.118837
Analysis finished2023-12-12 08:44:08.516483
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

금융기관
Text

Distinct138
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T17:44:08.718911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.7719665
Min length4

Characters and Unicode

Total characters2759
Distinct characters160
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)6.9%

Sample

1st row기초수급
2nd row케이에이취유동화
3rd row하나(외환)은행
4th row대우캐피탈
5th row신용보증재단중앙회
ValueCountFrequency (%)
기초수급 5
 
1.0%
한중상호 5
 
1.0%
현대캐피탈 5
 
1.0%
전일상호 5
 
1.0%
서울보증보험 5
 
1.0%
경기은행 5
 
1.0%
모아저축은행 5
 
1.0%
신용보증기금 5
 
1.0%
삼성캐피탈 5
 
1.0%
삼환상호 5
 
1.0%
Other values (128) 428
89.5%
2023-12-12T17:44:09.172832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
은 197
 
7.1%
행 196
 
7.1%
상 120
 
4.3%
호 116
 
4.2%
) 73
 
2.6%
( 73
 
2.6%
축 71
 
2.6%
저 66
 
2.4%
보 60
 
2.2%
한 54
 
2.0%
Other values (150) 1733
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2574
93.3%
Close Punctuation 73
 
2.6%
Open Punctuation 73
 
2.6%
Uppercase Letter 36
 
1.3%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 197
 
7.7%
행 196
 
7.6%
상 120
 
4.7%
호 116
 
4.5%
축 71
 
2.8%
저 66
 
2.6%
보 60
 
2.3%
한 54
 
2.1%
기 51
 
2.0%
대 48
 
1.9%
Other values (141) 1595
62.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
25.0%
K 8
22.2%
S 6
16.7%
E 5
13.9%
C 5
13.9%
I 3
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2574
93.3%
Common 149
 
5.4%
Latin 36
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 197
 
7.7%
행 196
 
7.6%
상 120
 
4.7%
호 116
 
4.5%
축 71
 
2.8%
저 66
 
2.6%
보 60
 
2.3%
한 54
 
2.1%
기 51
 
2.0%
대 48
 
1.9%
Other values (141) 1595
62.0%
Latin
ValueCountFrequency (%)
B 9
25.0%
K 8
22.2%
S 6
16.7%
E 5
13.9%
C 5
13.9%
I 3
 
8.3%
Common
ValueCountFrequency (%)
) 73
49.0%
( 73
49.0%
2 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2574
93.3%
ASCII 185
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
은 197
 
7.7%
행 196
 
7.6%
상 120
 
4.7%
호 116
 
4.5%
축 71
 
2.8%
저 66
 
2.6%
보 60
 
2.3%
한 54
 
2.1%
기 51
 
2.0%
대 48
 
1.9%
Other values (141) 1595
62.0%
ASCII
ValueCountFrequency (%)
) 73
39.5%
( 73
39.5%
B 9
 
4.9%
K 8
 
4.3%
S 6
 
3.2%
E 5
 
2.7%
C 5
 
2.7%
2 3
 
1.6%
I 3
 
1.6%

년도
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2018
102 
2019
102 
2017
94 
2016
93 
2015
87 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2018 102
21.3%
2019 102
21.3%
2017 94
19.7%
2016 93
19.5%
2015 87
18.2%

Length

2023-12-12T17:44:09.388063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:44:09.507089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 102
21.3%
2019 102
21.3%
2017 94
19.7%
2016 93
19.5%
2015 87
18.2%

건수
Real number (ℝ)

Distinct143
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.85565
Minimum1
Maximum136466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T17:44:09.672376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median9
Q355.75
95-th percentile959.85
Maximum136466
Range136465
Interquartile range (IQR)53.75

Descriptive statistics

Standard deviation6466.6367
Coefficient of variation (CV)11.550543
Kurtosis412.10683
Mean559.85565
Median Absolute Deviation (MAD)8
Skewness19.77648
Sum267611
Variance41817391
MonotonicityNot monotonic
2023-12-12T17:44:09.935802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 87
 
18.2%
2 40
 
8.4%
6 25
 
5.2%
5 19
 
4.0%
7 17
 
3.6%
3 17
 
3.6%
8 15
 
3.1%
4 14
 
2.9%
9 11
 
2.3%
10 10
 
2.1%
Other values (133) 223
46.7%
ValueCountFrequency (%)
1 87
18.2%
2 40
8.4%
3 17
 
3.6%
4 14
 
2.9%
5 19
 
4.0%
6 25
 
5.2%
7 17
 
3.6%
8 15
 
3.1%
9 11
 
2.3%
10 10
 
2.1%
ValueCountFrequency (%)
136466 1
0.2%
29622 1
0.2%
14715 1
0.2%
12012 1
0.2%
10177 1
0.2%
6170 1
0.2%
4336 1
0.2%
3885 1
0.2%
3245 1
0.2%
3002 1
0.2%

Interactions

2023-12-12T17:44:08.257625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:44:10.350641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도건수
년도1.0000.000
건수0.0001.000
2023-12-12T17:44:10.432235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수년도
건수1.0000.000
년도0.0001.000

Missing values

2023-12-12T17:44:08.392418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:44:08.484114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

금융기관년도건수
0기초수급20151081
1케이에이취유동화20151
2하나(외환)은행20155
3대우캐피탈201514
4신용보증재단중앙회2015277
5한국무역보험공사20157
6소액대부(한마음금융)20155
7기업은행201512
8동화은행201575
9한마음금융2015187
금융기관년도건수
468강구수협20191
469한국상호20196
470케이씨유동화20192
471동화은행201992
472삼성생명보험20191
473축협중앙20195
474우리은행(한일)201914
475동남은행201931
476충청은행201923
477기초수급2019193