Overview

Dataset statistics

Number of variables6
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory50.8 B

Variable types

Numeric2
Categorical4

Dataset

Description1. 데이터 개요본 데이터는 예금보험공사의 부보금융회사 중 저축은행업권의 차등평가 재무지표 항목 및 배점의 연도별 현황임2. 데이터 단위(항목) : 기준연도, 구분, 재무평가지표, 배점(연도) : 기준연도3. 데이터 주석1) BIS기준자기자본비율 : 자기자본 / 위험가중자산2) 단순자기자본비율 : 자기자본 / 총자산3) 유동성위험노출비율 : 순인출위험액 / (총대출금 - 할인어음 - 고정이하여신의대손충당금)4) 연체대출비율 : 연체대출금 / 총대출금5) 순고정이하여신비율 : (고정이하분류여신 - 대손충당금) / (총여신 - 대손충당금)6) 대손충당금적립률 : 총 대손충당금 잔액 / 고정이하여신7) 총자산순이익률 : 당기순이익/ 총자산(평잔)8) 위험가중자산순이익률 : 당기순이익 / 위험가중자산(평잔)4. 특이사항1) 사업연도말 기준으로 지표값 산정2) 유동성위험노출비율은 FY"21 차등평가부터 지표의 산식 변경* (이전 산식) 순인출위험액 / (총대출금 - 할인어음)
Author예금보험공사
URLhttps://www.data.go.kr/data/15112732/fileData.do

Alerts

구분 is highly overall correlated with 기본지표명 and 1 other fieldsHigh correlation
감점지표_여부 is highly overall correlated with 기준연도 and 4 other fieldsHigh correlation
기본지표명 is highly overall correlated with 배점 and 3 other fieldsHigh correlation
재무_비재무지표_구분 is highly overall correlated with 배점 and 2 other fieldsHigh correlation
기준연도 is highly overall correlated with 감점지표_여부High correlation
배점 is highly overall correlated with 재무_비재무지표_구분 and 2 other fieldsHigh correlation
배점 has 3 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-12 20:21:44.473256
Analysis finished2023-12-12 20:21:45.784357
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.2222
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T05:21:45.853649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12016
median2018
Q32021
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1445506
Coefficient of variation (CV)0.0015580795
Kurtosis-1.1903991
Mean2018.2222
Median Absolute Deviation (MAD)3
Skewness-0.083957159
Sum326952
Variance9.8881988
MonotonicityIncreasing
2023-12-13T05:21:45.998905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2021 16
9.9%
2022 16
9.9%
2023 16
9.9%
2016 15
9.3%
2017 15
9.3%
2018 15
9.3%
2019 15
9.3%
2020 15
9.3%
2013 13
8.0%
2014 13
8.0%
ValueCountFrequency (%)
2013 13
8.0%
2014 13
8.0%
2015 13
8.0%
2016 15
9.3%
2017 15
9.3%
2018 15
9.3%
2019 15
9.3%
2020 15
9.3%
2021 16
9.9%
2022 16
9.9%
ValueCountFrequency (%)
2023 16
9.9%
2022 16
9.9%
2021 16
9.9%
2020 15
9.3%
2019 15
9.3%
2018 15
9.3%
2017 15
9.3%
2016 15
9.3%
2015 13
8.0%
2014 13
8.0%

재무_비재무지표_구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
비재무기본지표
85 
재무기본지표
77 

Length

Max length7
Median length7
Mean length6.5246914
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비재무기본지표 85
52.5%
재무기본지표 77
47.5%

Length

2023-12-13T05:21:46.151016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:21:46.292036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비재무기본지표 85
52.5%
재무기본지표 77
47.5%

구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
지표1
22 
지표2
22 
지표3
22 
지표4
22 
지표5
22 
Other values (4)
52 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지표1
2nd row지표2
3rd row지표3
4th row지표4
5th row지표5

Common Values

ValueCountFrequency (%)
지표1 22
13.6%
지표2 22
13.6%
지표3 22
13.6%
지표4 22
13.6%
지표5 22
13.6%
지표6 22
13.6%
지표7 19
11.7%
지표8 8
 
4.9%
지표9 3
 
1.9%

Length

2023-12-13T05:21:46.440300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:21:46.582956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지표1 22
13.6%
지표2 22
13.6%
지표3 22
13.6%
지표4 22
13.6%
지표5 22
13.6%
지표6 22
13.6%
지표7 19
11.7%
지표8 8
 
4.9%
지표9 3
 
1.9%

기본지표명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
BIS기준자기자본비율
11 
연체대출비율
11 
총자산순이익률
11 
위험가중자산순이익률
11 
단순자기자본비율
11 
Other values (20)
107 

Length

Max length38
Median length23
Mean length13.660494
Min length6

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st rowBIS기준자기자본비율
2nd row단순자기자본비율
3rd row유동성위험노출비율
4th row연체대출비율
5th row순고정이하여신비율

Common Values

ValueCountFrequency (%)
BIS기준자기자본비율 11
 
6.8%
연체대출비율 11
 
6.8%
총자산순이익률 11
 
6.8%
위험가중자산순이익률 11
 
6.8%
단순자기자본비율 11
 
6.8%
회계업무의 투명성 11
 
6.8%
금융당국의 제대 현황(일반제재) 8
 
4.9%
유동성위험노출비율 8
 
4.9%
기타 비재무적사항 8
 
4.9%
순고정이하여신비율 8
 
4.9%
Other values (15) 64
39.5%

Length

2023-12-13T05:21:46.796628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
현황 20
 
5.2%
금융당국의 19
 
4.9%
처분 16
 
4.1%
이행 16
 
4.1%
등 16
 
4.1%
bis기준자기자본비율 11
 
2.8%
총자산순이익률 11
 
2.8%
위험가중자산순이익률 11
 
2.8%
단순자기자본비율 11
 
2.8%
회계업무의 11
 
2.8%
Other values (40) 244
63.2%

감점지표_여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
감점지표
85 
<NA>
77 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
감점지표 85
52.5%
<NA> 77
47.5%

Length

2023-12-13T05:21:46.966282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:21:47.098396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
감점지표 85
52.5%
na 77
47.5%

배점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6790123
Minimum0
Maximum20
Zeros3
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T05:21:47.223084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q310
95-th percentile15
Maximum20
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.0045375
Coefficient of variation (CV)0.74929304
Kurtosis0.24215643
Mean6.6790123
Median Absolute Deviation (MAD)3
Skewness0.79742894
Sum1082
Variance25.045395
MonotonicityNot monotonic
2023-12-13T05:21:47.380999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10.0 54
33.3%
4.0 37
22.8%
2.0 24
14.8%
1.0 21
 
13.0%
20.0 8
 
4.9%
12.5 6
 
3.7%
7.5 6
 
3.7%
0.0 3
 
1.9%
15.0 3
 
1.9%
ValueCountFrequency (%)
0.0 3
 
1.9%
1.0 21
 
13.0%
2.0 24
14.8%
4.0 37
22.8%
7.5 6
 
3.7%
10.0 54
33.3%
12.5 6
 
3.7%
15.0 3
 
1.9%
20.0 8
 
4.9%
ValueCountFrequency (%)
20.0 8
 
4.9%
15.0 3
 
1.9%
12.5 6
 
3.7%
10.0 54
33.3%
7.5 6
 
3.7%
4.0 37
22.8%
2.0 24
14.8%
1.0 21
 
13.0%
0.0 3
 
1.9%

Interactions

2023-12-13T05:21:44.964849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:21:44.764348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:21:45.083023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:21:44.864420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:21:47.509455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도재무_비재무지표_구분구분기본지표명배점
기준연도1.0000.0000.0000.0000.262
재무_비재무지표_구분0.0001.0000.1421.0001.000
구분0.0000.1421.0000.9860.651
기본지표명0.0001.0000.9861.0000.941
배점0.2621.0000.6510.9411.000
2023-12-13T05:21:47.645891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분감점지표_여부기본지표명재무_비재무지표_구분
구분1.0001.0000.8720.138
감점지표_여부1.0001.0001.0001.000
기본지표명0.8721.0001.0000.925
재무_비재무지표_구분0.1381.0000.9251.000
2023-12-13T05:21:47.791025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도배점재무_비재무지표_구분구분기본지표명감점지표_여부
기준연도1.000-0.0160.0000.0000.0001.000
배점-0.0161.0000.9840.3580.6841.000
재무_비재무지표_구분0.0000.9841.0000.1380.9251.000
구분0.0000.3580.1381.0000.8721.000
기본지표명0.0000.6840.9250.8721.0001.000
감점지표_여부1.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T05:21:45.582028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:21:45.726687image/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

기준연도재무_비재무지표_구분구분기본지표명감점지표_여부배점
02013재무기본지표지표1BIS기준자기자본비율<NA>20.0
12013재무기본지표지표2단순자기자본비율<NA>10.0
22013재무기본지표지표3유동성위험노출비율<NA>10.0
32013재무기본지표지표4연체대출비율<NA>10.0
42013재무기본지표지표5순고정이하여신비율<NA>10.0
52013재무기본지표지표6총자산순이익률<NA>10.0
62013재무기본지표지표7위험가중자산순이익률<NA>10.0
72013비재무기본지표지표1금융당국의 제재 현황감점지표2.0
82013비재무기본지표지표2금융사고의 발생 현황감점지표2.0
92013비재무기본지표지표3금융분쟁 현황감점지표2.0
기준연도재무_비재무지표_구분구분기본지표명감점지표_여부배점
1522023재무기본지표지표7위험가중자산순이익률<NA>7.5
1532023비재무기본지표지표1금융당국의 제대 현황(일반제재)감점지표4.0
1542023비재무기본지표지표2금융당국의 처분 등 현황(금융소비자보호법에 따른 처분 등)감점지표4.0
1552023비재무기본지표지표3금융사고의 발생현황감점지표4.0
1562023비재무기본지표지표4회계업무의 투명성감점지표4.0
1572023비재무기본지표지표5적기시정조치 부과 여부감점지표2.0
1582023비재무기본지표지표6보험사고 위험여부감점지표2.0
1592023비재무기본지표지표7공사의 조사<U+FF65>검사 결과 시정조치 요청사항 이행 현황감점지표2.0
1602023비재무기본지표지표8예금보험관계 표시<U+FF65>설명<U+FF65>확인 의무 이행 여부감점지표1.0
1612023비재무기본지표지표9자료제출 정확도감점지표1.0