Overview

Dataset statistics

Number of variables5
Number of observations168
Missing cells207
Missing cells (%)24.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory44.8 B

Variable types

Numeric4
Categorical1

Dataset

Description1. 데이터 개요 : 금융권별 부보금융회사 수, 예금보험료 수입액, 예금보험금 지급액에 대한 정보 (통계청 승인 국가승인통계)2. 데이터 단위 : 부보금융회사(개), 보험료 수입 및 보험금 지급액 (억원)3. 부보금융회사 통계- 금융업권은 은행, 보험(생명보험, 손해보험), 금융투자업권(증권회사, 자산운용사, 선물사), 상호저축은행(중앙회 포함), 종합금융회사로 구분- 업권별 예시· 은행 : 국민은행 등 시중은행, 부산은행 등 지방은행 및 케이뱅크은행 등 인터넷 전문은행 포함, 수출입은행 등 특수은행 제외· 생명보험 및 손해보험 : 교보생명 등 생명보험회사 및 삼성화재 등 손해보험회사 포함, 코리안리 등 재보험사 제외· 금융투자회사 : 증권사, 자산운용사, 선물사 및 한국증권금융 포함· 종합금융회사 : 우리종합금융· 저축은행 : 참저축은행 등 저축은행 및 상호저축은행중앙회 포함4. 예금보험료 수입 현황 통계- 예금보험료 : 보험사고 발생시 예금보험금 지급이나 자금지원을 위해 부보금융회사로부터 수납하는 금전- 각 업권별 보험료 수납시기· 은행 : 매 분기 종료 후 1개월 이내 (1년 4회)· 은행 외 업권 : 매 사업연도 종료 후 6개월 이내 (1년 1회)5. 예금보험금 지급 현황 통계- 예금보험금 : 부보금융회사가 예금의 지급정지, 인·허가의 취소, 해산·파산 등 예보법상 보험사고로 인하여 고객의 예금을 지급할 수 없는 경우 예금보험공사가 해당 금융회사를 대신하여 지급하는 금전- 보험금 지급 방법 : 예금보험공사는 예금자 편의를 위해 온·오프라인 채널을 통해 지급· 오프라인 신청 : 지급대행점(농협은행 외 시중은행 5개사) 방문→실명확인 등 서류 확인→지급대행기관 직원이 공사 시스템에 신청내역 입력→지급대행기관 책임자 확인 및 이체승인→신청계좌로 보험금이체· 온라인 신청 : 공사 홈페이지 접속→보험금 조회 및 신청→본인인증절차 진행→공사 확인 및 이체승인→신청계좌로 보험금이체
Author예금보험공사
URLhttps://www.data.go.kr/data/15042167/fileData.do

Alerts

연도 is highly overall correlated with 지급 예금보험금High correlation
부보금융회사 수 is highly overall correlated with 지급 예금보험금 and 1 other fieldsHigh correlation
수입 예금보험료 is highly overall correlated with 구분High correlation
지급 예금보험금 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 부보금융회사 수 and 1 other fieldsHigh correlation
부보금융회사 수 has 42 (25.0%) missing valuesMissing
수입 예금보험료 has 35 (20.8%) missing valuesMissing
지급 예금보험금 has 130 (77.4%) missing valuesMissing
지급 예금보험금 has 4 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-06 08:38:05.210349
Analysis finished2024-04-06 08:38:13.421383
Duration8.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013
Minimum2003
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T17:38:13.629657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2004
Q12008
median2013
Q32018
95-th percentile2022
Maximum2023
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.0734033
Coefficient of variation (CV)0.0030170906
Kurtosis-1.2055328
Mean2013
Median Absolute Deviation (MAD)5
Skewness0
Sum338184
Variance36.886228
MonotonicityIncreasing
2024-04-06T17:38:14.052180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2003 8
 
4.8%
2004 8
 
4.8%
2023 8
 
4.8%
2022 8
 
4.8%
2021 8
 
4.8%
2020 8
 
4.8%
2019 8
 
4.8%
2018 8
 
4.8%
2017 8
 
4.8%
2016 8
 
4.8%
Other values (11) 88
52.4%
ValueCountFrequency (%)
2003 8
4.8%
2004 8
4.8%
2005 8
4.8%
2006 8
4.8%
2007 8
4.8%
2008 8
4.8%
2009 8
4.8%
2010 8
4.8%
2011 8
4.8%
2012 8
4.8%
ValueCountFrequency (%)
2023 8
4.8%
2022 8
4.8%
2021 8
4.8%
2020 8
4.8%
2019 8
4.8%
2018 8
4.8%
2017 8
4.8%
2016 8
4.8%
2015 8
4.8%
2014 8
4.8%

구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
은행
21 
금융투자회사
21 
생명보험
21 
손해보험
21 
종합금융회사
21 
Other values (3)
63 

Length

Max length12
Median length9
Mean length5.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row은행
2nd row금융투자회사
3rd row생명보험
4th row손해보험
5th row종합금융회사

Common Values

ValueCountFrequency (%)
은행 21
12.5%
금융투자회사 21
12.5%
생명보험 21
12.5%
손해보험 21
12.5%
종합금융회사 21
12.5%
상호저축은행 21
12.5%
상호저축은행(특별계정) 21
12.5%
신용협동조합 21
12.5%

Length

2024-04-06T17:38:14.508749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:38:14.903551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은행 21
12.5%
금융투자회사 21
12.5%
생명보험 21
12.5%
손해보험 21
12.5%
종합금융회사 21
12.5%
상호저축은행 21
12.5%
상호저축은행(특별계정 21
12.5%
신용협동조합 21
12.5%

부보금융회사 수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct35
Distinct (%)27.8%
Missing42
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean48.809524
Minimum1
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T17:38:15.530403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q121
median39
Q380
95-th percentile115
Maximum141
Range140
Interquartile range (IQR)59

Descriptive statistics

Standard deviation39.080576
Coefficient of variation (CV)0.80067522
Kurtosis-0.97696393
Mean48.809524
Median Absolute Deviation (MAD)19
Skewness0.54097494
Sum6150
Variance1527.2914
MonotonicityNot monotonic
2024-04-06T17:38:16.023835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 14
 
8.3%
22 13
 
7.7%
80 9
 
5.4%
23 8
 
4.8%
2 7
 
4.2%
21 7
 
4.2%
56 6
 
3.6%
53 6
 
3.6%
54 6
 
3.6%
20 5
 
3.0%
Other values (25) 45
26.8%
(Missing) 42
25.0%
ValueCountFrequency (%)
1 14
8.3%
2 7
4.2%
20 5
 
3.0%
21 7
4.2%
22 13
7.7%
23 8
4.8%
24 4
 
2.4%
25 5
 
3.0%
53 6
3.6%
54 6
3.6%
ValueCountFrequency (%)
141 1
0.6%
124 1
0.6%
118 1
0.6%
117 2
1.2%
116 1
0.6%
115 2
1.2%
114 2
1.2%
113 1
0.6%
111 1
0.6%
110 2
1.2%

수입 예금보험료
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct128
Distinct (%)96.2%
Missing35
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean2248.6241
Minimum-14
Maximum13739
Zeros1
Zeros (%)0.6%
Negative1
Negative (%)0.6%
Memory size1.6 KiB
2024-04-06T17:38:16.596122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-14
5-th percentile8
Q1253
median885
Q33934
95-th percentile7640.2
Maximum13739
Range13753
Interquartile range (IQR)3681

Descriptive statistics

Standard deviation2882.9755
Coefficient of variation (CV)1.2821065
Kurtosis2.7384577
Mean2248.6241
Median Absolute Deviation (MAD)866
Skewness1.6873986
Sum299067
Variance8311547.5
MonotonicityNot monotonic
2024-04-06T17:38:17.084704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256 2
 
1.2%
8 2
 
1.2%
18 2
 
1.2%
9 2
 
1.2%
253 2
 
1.2%
885 1
 
0.6%
428 1
 
0.6%
973 1
 
0.6%
2466 1
 
0.6%
5250 1
 
0.6%
Other values (118) 118
70.2%
(Missing) 35
 
20.8%
ValueCountFrequency (%)
-14 1
0.6%
0 1
0.6%
2 1
0.6%
4 1
0.6%
6 1
0.6%
7 1
0.6%
8 2
1.2%
9 2
1.2%
10 1
0.6%
11 1
0.6%
ValueCountFrequency (%)
13739 1
0.6%
12473 1
0.6%
11267 1
0.6%
10259 1
0.6%
9360 1
0.6%
9102 1
0.6%
8242 1
0.6%
7239 1
0.6%
7120 1
0.6%
6946 1
0.6%

지급 예금보험금
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing130
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean2345.8158
Minimum-29390
Maximum65450
Zeros4
Zeros (%)2.4%
Negative9
Negative (%)5.4%
Memory size1.6 KiB
2024-04-06T17:38:17.573977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-29390
5-th percentile-4419.55
Q10
median9.5
Q3734.25
95-th percentile13665.85
Maximum65450
Range94840
Interquartile range (IQR)734.25

Descriptive statistics

Standard deviation16544.292
Coefficient of variation (CV)7.0526818
Kurtosis11.057265
Mean2345.8158
Median Absolute Deviation (MAD)20
Skewness2.7612697
Sum89141
Variance2.737136 × 108
MonotonicityNot monotonic
2024-04-06T17:38:17.988580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
2.4%
-1 4
 
2.4%
1 2
 
1.2%
5 2
 
1.2%
7 2
 
1.2%
34 2
 
1.2%
154 2
 
1.2%
-29390 2
 
1.2%
65447 1
 
0.6%
18 1
 
0.6%
Other values (16) 16
 
9.5%
(Missing) 130
77.4%
ValueCountFrequency (%)
-29390 2
1.2%
-13 1
 
0.6%
-8 1
 
0.6%
-3 1
 
0.6%
-1 4
2.4%
0 4
2.4%
1 2
1.2%
5 2
1.2%
7 2
1.2%
12 1
 
0.6%
ValueCountFrequency (%)
65450 1
0.6%
65447 1
0.6%
4528 1
0.6%
3002 1
0.6%
1774 1
0.6%
1769 1
0.6%
1542 1
0.6%
1343 1
0.6%
909 1
0.6%
764 1
0.6%

Interactions

2024-04-06T17:38:10.179454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:05.772326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:07.271152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:08.637607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:10.673728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:06.200108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:07.619267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:09.047247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:11.067312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:06.632722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:07.966384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:09.423927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:11.403414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:06.955009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:08.317147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:09.796758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:38:18.454932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도구분부보금융회사 수수입 예금보험료지급 예금보험금
연도1.0000.0000.0000.4750.885
구분0.0001.0000.9310.7720.000
부보금융회사 수0.0000.9311.0000.6050.000
수입 예금보험료0.4750.7720.6051.0000.414
지급 예금보험금0.8850.0000.0000.4141.000
2024-04-06T17:38:18.828023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도부보금융회사 수수입 예금보험료지급 예금보험금구분
연도1.0000.0240.040-0.5390.000
부보금융회사 수0.0241.0000.2830.7600.767
수입 예금보험료0.0400.2831.000-0.0740.530
지급 예금보험금-0.5390.760-0.0741.0000.000
구분0.0000.7670.5300.0001.000

Missing values

2024-04-06T17:38:11.777366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:38:12.861799image/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.
2024-04-06T17:38:13.215331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연도구분부보금융회사 수수입 예금보험료지급 예금보험금
02003은행584775<NA>
12003금융투자회사58312<NA>
22003생명보험232580<NA>
32003손해보험20535<NA>
42003종합금융회사273<NA>
52003상호저축은행114668764
62003상호저축은행(특별계정)<NA><NA><NA>
72003신용협동조합<NA><NA>1542
82004은행554960<NA>
92004금융투자회사56336<NA>
연도구분부보금융회사 수수입 예금보험료지급 예금보험금
1582022상호저축은행(특별계정)<NA>12473-1
1592022신용협동조합<NA><NA><NA>
1602023은행537239<NA>
1612023금융투자회사108428<NA>
1622023생명보험22885<NA>
1632023손해보험221194<NA>
1642023종합금융회사125<NA>
1652023상호저축은행802730
1662023상호저축은행(특별계정)<NA>137390
1672023신용협동조합<NA><NA><NA>