Overview

Dataset statistics

Number of variables16
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory147.1 B

Variable types

DateTime1
Numeric15

Dataset

Description예금보험공사에서 관리하는 부보금융회사 종합정보 중 부보금융회사의 업권별 부보대상 상품금액이며, 억원 단위의 자료로 제공합니다.예금, 비부보예금은 각각 "22.9월 이전 자료의 보호대상상품 총액, 공공기관 등 예금과 동일합니다.
Author예금보험공사
URLhttps://www.data.go.kr/data/15083322/fileData.do

Alerts

은행_예금 is highly overall correlated with 은행_비부보예금 and 12 other fieldsHigh correlation
은행_비부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
은행_부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
보험_예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
보험_비부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
보험_부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
금융투자_예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
금융투자_비부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
금융투자_부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
종금_예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
종금_부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
저축은행_예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
저축은행_비부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
저축은행_부보예금 is highly overall correlated with 은행_예금 and 12 other fieldsHigh correlation
기준일 has unique valuesUnique
은행_예금 has unique valuesUnique
은행_비부보예금 has unique valuesUnique
은행_부보예금 has unique valuesUnique
보험_예금 has unique valuesUnique
보험_비부보예금 has unique valuesUnique
보험_부보예금 has unique valuesUnique
금융투자_예금 has unique valuesUnique
금융투자_비부보예금 has unique valuesUnique
금융투자_부보예금 has unique valuesUnique
종금_예금 has unique valuesUnique
종금_비부보예금 has unique valuesUnique
종금_부보예금 has unique valuesUnique
저축은행_예금 has unique valuesUnique
저축은행_비부보예금 has unique valuesUnique
저축은행_부보예금 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:05:05.014620
Analysis finished2024-03-14 12:05:56.445533
Duration51.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
Minimum2016-03-31 00:00:00
Maximum2023-09-30 00:00:00
2024-03-14T21:05:56.612122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:57.014882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

은행_예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18270529
Minimum13589332
Maximum23157828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:05:57.392579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13589332
5-th percentile14091652
Q115542532
median17591600
Q321246077
95-th percentile23011766
Maximum23157828
Range9568496
Interquartile range (IQR)5703544.5

Descriptive statistics

Standard deviation3224865.1
Coefficient of variation (CV)0.17650639
Kurtosis-1.4342789
Mean18270529
Median Absolute Deviation (MAD)2617305
Skewness0.22313356
Sum5.6638639 × 108
Variance1.0399755 × 1013
MonotonicityNot monotonic
2024-03-14T21:05:57.804957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
13589332 1
 
3.2%
13803448 1
 
3.2%
23054323 1
 
3.2%
23157828 1
 
3.2%
22723050 1
 
3.2%
22969210 1
 
3.2%
22714308 1
 
3.2%
22666395 1
 
3.2%
21901642 1
 
3.2%
21477898 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
13589332 1
3.2%
13803448 1
3.2%
14379856 1
3.2%
14446660 1
3.2%
14646859 1
3.2%
14974295 1
3.2%
15245205 1
3.2%
15445745 1
3.2%
15639320 1
3.2%
15896808 1
3.2%
ValueCountFrequency (%)
23157828 1
3.2%
23054323 1
3.2%
22969210 1
3.2%
22723050 1
3.2%
22714308 1
3.2%
22666395 1
3.2%
21901642 1
3.2%
21477898 1
3.2%
21014256 1
3.2%
20577606 1
3.2%

은행_비부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3884206.5
Minimum2763681
Maximum4793894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:05:58.185815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2763681
5-th percentile2856375
Q13276283.5
median4056788
Q34297533.5
95-th percentile4682341.5
Maximum4793894
Range2030213
Interquartile range (IQR)1021250

Descriptive statistics

Standard deviation610332.01
Coefficient of variation (CV)0.15713171
Kurtosis-1.0235887
Mean3884206.5
Median Absolute Deviation (MAD)454807
Skewness-0.3855716
Sum1.204104 × 108
Variance3.7250517 × 1011
MonotonicityNot monotonic
2024-03-14T21:05:58.604199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2787048 1
 
3.2%
2763681 1
 
3.2%
4609398 1
 
3.2%
4608101 1
 
3.2%
4434858 1
 
3.2%
4618310 1
 
3.2%
4746373 1
 
3.2%
4793894 1
 
3.2%
4281984 1
 
3.2%
4313083 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
2763681 1
3.2%
2787048 1
3.2%
2925702 1
3.2%
2961384 1
3.2%
3204090 1
3.2%
3260541 1
3.2%
3264112 1
3.2%
3272358 1
3.2%
3280209 1
3.2%
3479036 1
3.2%
ValueCountFrequency (%)
4793894 1
3.2%
4746373 1
3.2%
4618310 1
3.2%
4609398 1
3.2%
4608101 1
3.2%
4511595 1
3.2%
4434858 1
3.2%
4313083 1
3.2%
4281984 1
3.2%
4279201 1
3.2%

은행_부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14386322
Minimum10802284
Maximum18549727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:05:58.999186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10802284
5-th percentile11229120
Q112162910
median13534812
Q316833738
95-th percentile18397912
Maximum18549727
Range7747443
Interquartile range (IQR)4670827.5

Descriptive statistics

Standard deviation2662578.5
Coefficient of variation (CV)0.18507708
Kurtosis-1.475415
Mean14386322
Median Absolute Deviation (MAD)2013854
Skewness0.33524712
Sum4.4597598 × 108
Variance7.089324 × 1012
MonotonicityNot monotonic
2024-03-14T21:05:59.418380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10802284 1
 
3.2%
11039768 1
 
3.2%
18444925 1
 
3.2%
18549727 1
 
3.2%
18288192 1
 
3.2%
18350900 1
 
3.2%
17967935 1
 
3.2%
17872501 1
 
3.2%
17619657 1
 
3.2%
17164814 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
10802284 1
3.2%
11039768 1
3.2%
11418472 1
3.2%
11442769 1
3.2%
11520958 1
3.2%
11713754 1
3.2%
11981092 1
3.2%
12160284 1
3.2%
12165536 1
3.2%
12208538 1
3.2%
ValueCountFrequency (%)
18549727 1
3.2%
18444925 1
3.2%
18350900 1
3.2%
18288192 1
3.2%
17967935 1
3.2%
17872501 1
3.2%
17619657 1
3.2%
17164814 1
3.2%
16502661 1
3.2%
16298405 1
3.2%

보험_예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8976608.9
Minimum7070132
Maximum10185156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:05:59.815871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7070132
5-th percentile7299518.5
Q18242597
median9116791
Q39927889
95-th percentile10148511
Maximum10185156
Range3115024
Interquartile range (IQR)1685292

Descriptive statistics

Standard deviation989070.43
Coefficient of variation (CV)0.11018308
Kurtosis-1.0969871
Mean8976608.9
Median Absolute Deviation (MAD)900196
Skewness-0.38275982
Sum2.7827488 × 108
Variance9.7826032 × 1011
MonotonicityNot monotonic
2024-03-14T21:06:00.135824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7070132 1
 
3.2%
7213923 1
 
3.2%
10185156 1
 
3.2%
10129656 1
 
3.2%
10072963 1
 
3.2%
10166106 1
 
3.2%
10130916 1
 
3.2%
10111630 1
 
3.2%
10057461 1
 
3.2%
10029329 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
7070132 1
3.2%
7213923 1
3.2%
7385114 1
3.2%
7628772 1
3.2%
7762034 1
3.2%
7906232 1
3.2%
8025663 1
3.2%
8216595 1
3.2%
8268599 1
3.2%
8411795 1
3.2%
ValueCountFrequency (%)
10185156 1
3.2%
10166106 1
3.2%
10130916 1
3.2%
10129656 1
3.2%
10111630 1
3.2%
10072963 1
3.2%
10057461 1
3.2%
10029329 1
3.2%
9826449 1
3.2%
9770161 1
3.2%

보험_비부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1045939.5
Minimum631605
Maximum1387016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:00.460898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum631605
5-th percentile650660
Q1821015.5
median1075745
Q31297131.5
95-th percentile1373163
Maximum1387016
Range755411
Interquartile range (IQR)476116

Descriptive statistics

Standard deviation256345.25
Coefficient of variation (CV)0.24508611
Kurtosis-1.4721771
Mean1045939.5
Median Absolute Deviation (MAD)253334
Skewness-0.082625918
Sum32424126
Variance6.5712888 × 1010
MonotonicityNot monotonic
2024-03-14T21:06:00.885994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
639448 1
 
3.2%
631605 1
 
3.2%
1337126 1
 
3.2%
1340042 1
 
3.2%
1329079 1
 
3.2%
1387016 1
 
3.2%
1361022 1
 
3.2%
1366630 1
 
3.2%
1370098 1
 
3.2%
1376228 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
631605 1
3.2%
639448 1
3.2%
661872 1
3.2%
756938 1
3.2%
757778 1
3.2%
775341 1
3.2%
777905 1
3.2%
817558 1
3.2%
824473 1
3.2%
856292 1
3.2%
ValueCountFrequency (%)
1387016 1
3.2%
1376228 1
3.2%
1370098 1
3.2%
1366630 1
3.2%
1361022 1
3.2%
1340042 1
3.2%
1337126 1
3.2%
1329079 1
3.2%
1265184 1
3.2%
1264458 1
3.2%

보험_부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7930669.2
Minimum6430684
Maximum8848030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:01.283139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6430684
5-th percentile6652779.5
Q17405672
median8041046
Q38619362.5
95-th percentile8784352
Maximum8848030
Range2417346
Interquartile range (IQR)1213690.5

Descriptive statistics

Standard deviation737140.82
Coefficient of variation (CV)0.092948123
Kurtosis-0.91912216
Mean7930669.2
Median Absolute Deviation (MAD)612055
Skewness-0.49490152
Sum2.4585074 × 108
Variance5.4337658 × 1011
MonotonicityNot monotonic
2024-03-14T21:06:01.863742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6430684 1
 
3.2%
6582317 1
 
3.2%
8848030 1
 
3.2%
8789614 1
 
3.2%
8743884 1
 
3.2%
8779090 1
 
3.2%
8769894 1
 
3.2%
8745000 1
 
3.2%
8687362 1
 
3.2%
8653101 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
6430684 1
3.2%
6582317 1
3.2%
6723242 1
3.2%
6870994 1
3.2%
7005095 1
3.2%
7130891 1
3.2%
7247758 1
3.2%
7360303 1
3.2%
7451041 1
3.2%
7553007 1
3.2%
ValueCountFrequency (%)
8848030 1
3.2%
8789614 1
3.2%
8779090 1
3.2%
8769894 1
3.2%
8745000 1
3.2%
8743884 1
3.2%
8687362 1
3.2%
8653101 1
3.2%
8585624 1
3.2%
8504978 1
3.2%

금융투자_예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean904431.48
Minimum576348
Maximum1361244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:02.252537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum576348
5-th percentile579337
Q1652054.5
median719496
Q31202000
95-th percentile1295517.5
Maximum1361244
Range784896
Interquartile range (IQR)549945.5

Descriptive statistics

Standard deviation286850.16
Coefficient of variation (CV)0.31716074
Kurtosis-1.7725355
Mean904431.48
Median Absolute Deviation (MAD)142296
Skewness0.28616231
Sum28037376
Variance8.2283013 × 1010
MonotonicityNot monotonic
2024-03-14T21:06:02.692626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
629194 1
 
3.2%
638118 1
 
3.2%
1249087 1
 
3.2%
1279872 1
 
3.2%
1173600 1
 
3.2%
1114737 1
 
3.2%
1167341 1
 
3.2%
1199092 1
 
3.2%
1273804 1
 
3.2%
1311163 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
576348 1
3.2%
577200 1
3.2%
581474 1
3.2%
617340 1
3.2%
629194 1
3.2%
638118 1
3.2%
638289 1
3.2%
648478 1
3.2%
655631 1
3.2%
656244 1
3.2%
ValueCountFrequency (%)
1361244 1
3.2%
1311163 1
3.2%
1279872 1
3.2%
1273804 1
3.2%
1249087 1
3.2%
1247229 1
3.2%
1226110 1
3.2%
1204908 1
3.2%
1199092 1
3.2%
1173600 1
3.2%

금융투자_비부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429587.58
Minimum307244
Maximum647788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:03.079328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum307244
5-th percentile311572
Q1350817
median397286
Q3509283.5
95-th percentile599054.5
Maximum647788
Range340544
Interquartile range (IQR)158466.5

Descriptive statistics

Standard deviation97947.578
Coefficient of variation (CV)0.22800375
Kurtosis-0.54243256
Mean429587.58
Median Absolute Deviation (MAD)57121
Skewness0.70686802
Sum13317215
Variance9.5937281 × 109
MonotonicityNot monotonic
2024-03-14T21:06:03.480351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
365998 1
 
3.2%
343429 1
 
3.2%
647788 1
 
3.2%
640988 1
 
3.2%
557121 1
 
3.2%
550777 1
 
3.2%
537287 1
 
3.2%
517371 1
 
3.2%
519031 1
 
3.2%
496952 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
307244 1
3.2%
308894 1
3.2%
314250 1
3.2%
340165 1
3.2%
340868 1
3.2%
342286 1
3.2%
343429 1
3.2%
344948 1
3.2%
356686 1
3.2%
359751 1
3.2%
ValueCountFrequency (%)
647788 1
3.2%
640988 1
3.2%
557121 1
3.2%
551050 1
3.2%
550777 1
3.2%
537287 1
3.2%
519031 1
3.2%
517371 1
3.2%
501196 1
3.2%
496952 1
3.2%

금융투자_부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474843.77
Minimum263195
Maximum814211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:03.853548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum263195
5-th percentile267339
Q1292566
median326133
Q3634469
95-th percentile793403.5
Maximum814211
Range551016
Interquartile range (IQR)341903

Descriptive statistics

Standard deviation202180.06
Coefficient of variation (CV)0.42578228
Kurtosis-1.5622167
Mean474843.77
Median Absolute Deviation (MAD)62938
Skewness0.38637332
Sum14720157
Variance4.0876779 × 1010
MonotonicityNot monotonic
2024-03-14T21:06:04.232377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
263195 1
 
3.2%
294689 1
 
3.2%
601299 1
 
3.2%
638884 1
 
3.2%
616479 1
 
3.2%
563960 1
 
3.2%
630054 1
 
3.2%
681721 1
 
3.2%
754773 1
 
3.2%
814211 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
263195 1
3.2%
267224 1
3.2%
267454 1
3.2%
269956 1
3.2%
277175 1
3.2%
288734 1
3.2%
289579 1
3.2%
291792 1
3.2%
293340 1
3.2%
294689 1
3.2%
ValueCountFrequency (%)
814211 1
3.2%
810193 1
3.2%
776614 1
3.2%
754773 1
3.2%
744650 1
3.2%
724914 1
3.2%
681721 1
3.2%
638884 1
3.2%
630054 1
3.2%
625034 1
3.2%

종금_예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46490.226
Minimum30479
Maximum63828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:04.604427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30479
5-th percentile36144
Q138807.5
median42690
Q353973.5
95-th percentile59899.5
Maximum63828
Range33349
Interquartile range (IQR)15166

Descriptive statistics

Standard deviation8864.3656
Coefficient of variation (CV)0.1906716
Kurtosis-1.2025522
Mean46490.226
Median Absolute Deviation (MAD)7018
Skewness0.19857762
Sum1441197
Variance78576978
MonotonicityNot monotonic
2024-03-14T21:06:05.010660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
39837 1
 
3.2%
38074 1
 
3.2%
60788 1
 
3.2%
59011 1
 
3.2%
63828 1
 
3.2%
53144 1
 
3.2%
54192 1
 
3.2%
53737 1
 
3.2%
56161 1
 
3.2%
48370 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
30479 1
3.2%
34738 1
3.2%
37550 1
3.2%
37636 1
3.2%
38074 1
3.2%
38298 1
3.2%
38499 1
3.2%
38517 1
3.2%
39098 1
3.2%
39623 1
3.2%
ValueCountFrequency (%)
63828 1
3.2%
60788 1
3.2%
59011 1
3.2%
56209 1
3.2%
56161 1
3.2%
54611 1
3.2%
54192 1
3.2%
54011 1
3.2%
53936 1
3.2%
53737 1
3.2%

종금_비부보예금
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27815.774
Minimum18900
Maximum38778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:05.393481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18900
5-th percentile22084
Q125614.5
median26963
Q329860.5
95-th percentile36849
Maximum38778
Range19878
Interquartile range (IQR)4246

Descriptive statistics

Standard deviation4369.2804
Coefficient of variation (CV)0.15707923
Kurtosis1.1628787
Mean27815.774
Median Absolute Deviation (MAD)2477
Skewness0.70291103
Sum862289
Variance19090611
MonotonicityNot monotonic
2024-03-14T21:06:05.798089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
30369 1
 
3.2%
27560 1
 
3.2%
26106 1
 
3.2%
27764 1
 
3.2%
29440 1
 
3.2%
18900 1
 
3.2%
23815 1
 
3.2%
25123 1
 
3.2%
26363 1
 
3.2%
23779 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
18900 1
3.2%
20389 1
3.2%
23779 1
3.2%
23815 1
3.2%
23855 1
3.2%
24398 1
3.2%
24665 1
3.2%
25123 1
3.2%
26106 1
3.2%
26252 1
3.2%
ValueCountFrequency (%)
38778 1
3.2%
37944 1
3.2%
35754 1
3.2%
32447 1
3.2%
31423 1
3.2%
30716 1
3.2%
30369 1
3.2%
30060 1
3.2%
29661 1
3.2%
29440 1
3.2%

종금_부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18674.484
Minimum9468
Maximum34682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:06.193956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9468
5-th percentile10301.5
Q111544
median14531
Q324012
95-th percentile34316.5
Maximum34682
Range25214
Interquartile range (IQR)12468

Descriptive statistics

Standard deviation8363.8998
Coefficient of variation (CV)0.4478785
Kurtosis-0.85068858
Mean18674.484
Median Absolute Deviation (MAD)4018
Skewness0.7695717
Sum578909
Variance69954819
MonotonicityNot monotonic
2024-03-14T21:06:06.596867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9468 1
 
3.2%
10513 1
 
3.2%
34682 1
 
3.2%
31247 1
 
3.2%
34388 1
 
3.2%
34245 1
 
3.2%
30377 1
 
3.2%
28614 1
 
3.2%
29798 1
 
3.2%
24592 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
9468 1
3.2%
10090 1
3.2%
10513 1
3.2%
10883 1
3.2%
11070 1
3.2%
11298 1
3.2%
11335 1
3.2%
11526 1
3.2%
11562 1
3.2%
11725 1
3.2%
ValueCountFrequency (%)
34682 1
3.2%
34388 1
3.2%
34245 1
3.2%
31247 1
3.2%
30377 1
3.2%
29798 1
3.2%
28614 1
3.2%
24592 1
3.2%
23432 1
3.2%
22513 1
3.2%

저축은행_예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean745915.42
Minimum393895
Maximum1204007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:06.986449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum393895
5-th percentile417469
Q1524242
median660541
Q3993877.5
95-th percentile1183893
Maximum1204007
Range810112
Interquartile range (IQR)469635.5

Descriptive statistics

Standard deviation275400.54
Coefficient of variation (CV)0.36921148
Kurtosis-1.2195007
Mean745915.42
Median Absolute Deviation (MAD)190970
Skewness0.51724904
Sum23123378
Variance7.5845456 × 1010
MonotonicityNot monotonic
2024-03-14T21:06:07.422528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
393895 1
 
3.2%
406933 1
 
3.2%
1179500 1
 
3.2%
1149996 1
 
3.2%
1161700 1
 
3.2%
1204007 1
 
3.2%
1188286 1
 
3.2%
1165388 1
 
3.2%
1079835 1
 
3.2%
1025807 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
393895 1
3.2%
406933 1
3.2%
428005 1
3.2%
451922 1
3.2%
463324 1
3.2%
473266 1
3.2%
494546 1
3.2%
512883 1
3.2%
535601 1
3.2%
548816 1
3.2%
ValueCountFrequency (%)
1204007 1
3.2%
1188286 1
3.2%
1179500 1
3.2%
1165388 1
3.2%
1161700 1
3.2%
1149996 1
3.2%
1079835 1
3.2%
1025807 1
3.2%
961948 1
3.2%
878497 1
3.2%

저축은행_비부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55156.387
Minimum6526
Maximum164313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:07.745285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6526
5-th percentile6931
Q18658
median44791
Q382905.5
95-th percentile147216
Maximum164313
Range157787
Interquartile range (IQR)74247.5

Descriptive statistics

Standard deviation49736.925
Coefficient of variation (CV)0.9017437
Kurtosis-0.56066596
Mean55156.387
Median Absolute Deviation (MAD)36475
Skewness0.78889663
Sum1709848
Variance2.4737617 × 109
MonotonicityNot monotonic
2024-03-14T21:06:07.975023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6681 1
 
3.2%
7181 1
 
3.2%
79757 1
 
3.2%
69081 1
 
3.2%
72003 1
 
3.2%
95597 1
 
3.2%
153965 1
 
3.2%
164313 1
 
3.2%
125800 1
 
3.2%
140467 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
6526 1
3.2%
6681 1
3.2%
7181 1
3.2%
7201 1
3.2%
7823 1
3.2%
8154 1
3.2%
8213 1
3.2%
8316 1
3.2%
9000 1
3.2%
11110 1
3.2%
ValueCountFrequency (%)
164313 1
3.2%
153965 1
3.2%
140467 1
3.2%
130045 1
3.2%
125800 1
3.2%
109225 1
3.2%
95597 1
3.2%
86054 1
3.2%
79757 1
3.2%
79480 1
3.2%

저축은행_부보예금
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean690758.97
Minimum387214
Maximum1108410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:06:08.208602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387214
5-th percentile410278
Q1513907
median615750
Q3858621.5
95-th percentile1094720
Maximum1108410
Range721196
Interquartile range (IQR)344714.5

Descriptive statistics

Standard deviation232936.72
Coefficient of variation (CV)0.33721852
Kurtosis-0.94124564
Mean690758.97
Median Absolute Deviation (MAD)150638
Skewness0.62199164
Sum21413528
Variance5.4259515 × 1010
MonotonicityNot monotonic
2024-03-14T21:06:08.438622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
387214 1
 
3.2%
399752 1
 
3.2%
1099743 1
 
3.2%
1080915 1
 
3.2%
1089697 1
 
3.2%
1108410 1
 
3.2%
1034320 1
 
3.2%
1001075 1
 
3.2%
954035 1
 
3.2%
885340 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
387214 1
3.2%
399752 1
3.2%
420804 1
3.2%
444098 1
3.2%
455110 1
3.2%
465112 1
3.2%
486230 1
3.2%
506357 1
3.2%
521457 1
3.2%
539816 1
3.2%
ValueCountFrequency (%)
1108410 1
3.2%
1099743 1
3.2%
1089697 1
3.2%
1080915 1
3.2%
1034320 1
3.2%
1001075 1
3.2%
954035 1
3.2%
885340 1
3.2%
831903 1
3.2%
769272 1
3.2%

Interactions

2024-03-14T21:05:51.979767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:05.700909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:08.865468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:12.280715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:16.226553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:20.152636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:23.567254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:26.013102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:28.798663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:31.702909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:34.720187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:37.334476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:40.325179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:44.268398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:48.058017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:52.228575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:05.934444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:09.014462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:12.524593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:16.471020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:20.405235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:23.701093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:26.181988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:28.947151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:31.943198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:34.863993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:37.479435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:40.700702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:44.516597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:48.208263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:52.500766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:06.213423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:09.192140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:12.797901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:16.743673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:20.685041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:23.949077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:26.425667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:29.119762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:32.209743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:35.037648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:37.652729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:40.964813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:44.790640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:48.383387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:52.767313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:06.467710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:09.377252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:13.060460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:17.006799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:20.954464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:24.102950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:26.598410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:29.287863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:32.471490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:35.202609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:37.836535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:41.221077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:45.061155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:48.592490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:53.028970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:06.716418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:09.540648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:13.324559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:17.258817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:21.226714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:24.251894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:26.761523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:29.446276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:32.724832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:35.369365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:37.997705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:41.472156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:45.324568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:48.857919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:53.304891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:06.976583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:09.771568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:13.598593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:17.528740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:21.516345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:24.411037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:26.939021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:29.620018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:32.907696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:35.553520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:38.244032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:41.737415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:45.597720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:49.136464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:53.555179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:07.212015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:10.020219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:13.844622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:17.773090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:21.738399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:24.545929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:27.090459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:29.792953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:33.119526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:35.725560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:38.489750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:41.974112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:45.844215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:49.386816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:53.825990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:07.475993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:10.256102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:14.119051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:18.049319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:21.912258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:24.706455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:27.263865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:30.025916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:33.300446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:35.959705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:38.760315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:42.236228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:46.118096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:49.660876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:54.092453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:07.728004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:10.425234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:14.388522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:18.311264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:22.114496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:24.861596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:27.506103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:30.186573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:33.536510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:36.123647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:39.027356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:42.491386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:46.387358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:49.931707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:54.343497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:07.868239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:10.583008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:14.638165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:18.563376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:22.272710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:25.041800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:27.671937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:30.336292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:33.679031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:36.276886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:39.280457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:42.735428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:46.640084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:50.184816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:54.605813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:08.023614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:10.750320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:14.901077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:18.823955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:22.438821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:25.242466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:27.862599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:30.500049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:33.833316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:36.434769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:39.499191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:42.991082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:46.909657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:50.454178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:54.776388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:08.175633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:10.997675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:15.163467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:19.090836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:22.663275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:25.394080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:28.028313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:30.664209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:33.990434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:36.598422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:39.657571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:43.242941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:47.177393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:50.723986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:54.946516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:08.314438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:11.250736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:15.412360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:19.343538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:22.862768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:25.536130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:28.184815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:30.816027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:34.131962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:36.745498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:39.808607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:43.482364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:47.441251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:50.981995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:55.127959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:08.496939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:11.737533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:15.687443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:19.617635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:23.227179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:25.697750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:28.367997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:31.049402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:34.302214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:36.959897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:39.978309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:43.746338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:47.720293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:51.255995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:55.298025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:08.709038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:12.012134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:15.959375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:19.884705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:23.398798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:25.858037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:28.549033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:31.432245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:34.472340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:37.167849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:40.156420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:44.011110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:47.892749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:05:51.712260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:06:08.672313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일은행_예금은행_비부보예금은행_부보예금보험_예금보험_비부보예금보험_부보예금금융투자_예금금융투자_비부보예금금융투자_부보예금종금_예금종금_비부보예금종금_부보예금저축은행_예금저축은행_비부보예금저축은행_부보예금
기준일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
은행_예금1.0001.0000.8680.9930.9830.9370.8980.7390.7800.7680.5370.0000.8850.8880.8930.968
은행_비부보예금1.0000.8681.0000.7090.8750.8390.8610.0620.7950.4340.0000.0000.8000.8810.5080.765
은행_부보예금1.0000.9930.7091.0000.9620.9120.9230.8050.7350.8350.4960.3850.8720.9010.8420.934
보험_예금1.0000.9830.8750.9621.0000.9930.9840.6390.7200.4730.5390.5220.8090.8520.4500.921
보험_비부보예금1.0000.9370.8390.9120.9931.0000.9350.7160.8480.5690.4080.4510.9120.9120.5490.790
보험_부보예금1.0000.8980.8610.9230.9840.9351.0000.0000.5570.5790.3570.6570.7660.8680.0000.891
금융투자_예금1.0000.7390.0620.8050.6390.7160.0001.0000.7120.9430.7870.8370.7090.7740.7070.800
금융투자_비부보예금1.0000.7800.7950.7350.7200.8480.5570.7121.0000.6730.5170.5500.9030.8150.7480.832
금융투자_부보예금1.0000.7680.4340.8350.4730.5690.5790.9430.6731.0000.8070.5380.8450.7820.7910.801
종금_예금1.0000.5370.0000.4960.5390.4080.3570.7870.5170.8071.0000.0000.7060.5780.6740.713
종금_비부보예금1.0000.0000.0000.3850.5220.4510.6570.8370.5500.5380.0001.0000.0000.6730.6940.593
종금_부보예금1.0000.8850.8000.8720.8090.9120.7660.7090.9030.8450.7060.0001.0000.9670.8130.896
저축은행_예금1.0000.8880.8810.9010.8520.9120.8680.7740.8150.7820.5780.6730.9671.0000.8220.965
저축은행_비부보예금1.0000.8930.5080.8420.4500.5490.0000.7070.7480.7910.6740.6940.8130.8221.0000.933
저축은행_부보예금1.0000.9680.7650.9340.9210.7900.8910.8000.8320.8010.7130.5930.8960.9650.9331.000
2024-03-14T21:06:09.061764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
은행_예금은행_비부보예금은행_부보예금보험_예금보험_비부보예금보험_부보예금금융투자_예금금융투자_비부보예금금융투자_부보예금종금_예금종금_비부보예금종금_부보예금저축은행_예금저축은행_비부보예금저축은행_부보예금
은행_예금1.0000.9620.9980.9810.9550.9830.8620.8870.8160.824-0.0920.9670.9760.9050.981
은행_비부보예금0.9621.0000.9570.9660.9380.9640.8120.8390.7750.762-0.1660.9290.9660.9220.956
은행_부보예금0.9980.9571.0000.9720.9460.9750.8490.8670.8100.823-0.0870.9620.9670.8990.971
보험_예금0.9810.9660.9721.0000.9740.9990.8770.9040.8300.828-0.1160.9710.9970.9310.995
보험_비부보예금0.9550.9380.9460.9741.0000.9720.8820.8670.8590.781-0.1480.9420.9780.9410.972
보험_부보예금0.9830.9640.9750.9990.9721.0000.8840.9060.8330.833-0.1020.9710.9940.9250.994
금융투자_예금0.8620.8120.8490.8770.8820.8841.0000.9100.9590.7760.0680.8420.8690.8730.877
금융투자_비부보예금0.8870.8390.8670.9040.8670.9060.9101.0000.8130.803-0.0250.8900.9000.8330.910
금융투자_부보예금0.8160.7750.8100.8300.8590.8330.9590.8131.0000.7270.1040.7890.8310.8790.826
종금_예금0.8240.7620.8230.8280.7810.8330.7760.8030.7271.0000.3660.8700.8230.7810.831
종금_비부보예금-0.092-0.166-0.087-0.116-0.148-0.1020.068-0.0250.1040.3661.000-0.037-0.119-0.046-0.100
종금_부보예금0.9670.9290.9620.9710.9420.9710.8420.8900.7890.870-0.0371.0000.9700.9160.976
저축은행_예금0.9760.9660.9670.9970.9780.9940.8690.9000.8310.823-0.1190.9701.0000.9390.994
저축은행_비부보예금0.9050.9220.8990.9310.9410.9250.8730.8330.8790.781-0.0460.9160.9391.0000.919
저축은행_부보예금0.9810.9560.9710.9950.9720.9940.8770.9100.8260.831-0.1000.9760.9940.9191.000

Missing values

2024-03-14T21:05:55.541850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:05:56.193124image/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

기준일은행_예금은행_비부보예금은행_부보예금보험_예금보험_비부보예금보험_부보예금금융투자_예금금융투자_비부보예금금융투자_부보예금종금_예금종금_비부보예금종금_부보예금저축은행_예금저축은행_비부보예금저축은행_부보예금
02016-03-311358933227870481080228470701326394486430684629194365998263195398373036994683938956681387214
12016-06-3013803448276368111039768721392363160565823176381183434292946893807427560105134069337181399752
22016-09-3015929163327235812656805738511466187267232425772003072442699563763626566110704280057201420804
32016-12-3114446660292570211520958762877275777868709945763483088942674543851726791117254519227823444098
42017-03-3114379856296138411418472776203475693870050955814743142502672244122329661115624633248213455110
52017-06-3014646859320409011442769790623277534171308916556313668972887343473823855108834732668154465112
62017-09-3014974295326054111713754802566377790572477586173403401652771753755026252112984945468316486230
72017-12-3115245205326411211981092821659585629273603036562443408683153763047920389100905128836526506357
82018-03-31154457453280209121655368268599817558745104166240834228632012241395300601133553560114144521457
92018-06-3015639320347903612160284841179585878875530077194963972863222103909827572115265488169000539816
기준일은행_예금은행_비부보예금은행_부보예금보험_예금보험_비부보예금보험_부보예금금융투자_예금금융투자_비부보예금금융투자_부보예금종금_예금종금_비부보예금종금_부보예금저축은행_예금저축은행_비부보예금저축은행_부보예금
212021-06-30205776064279201162984059770161126518485049781247229470614776614539363142322513878497109225769272
222021-09-30210142564511595165026619826449124082485856241361244551050810193503962696323432961948130045831903
232021-12-3121477898431308317164814100293291376228865310113111634969528142114837023779245921025807140467885340
242022-03-3121901642428198417619657100574611370098868736212738045190317547735616126363297981079835125800954035
252022-06-30226663954793894178725011011163013666308745000119909251737168172153737251232861411653881643131001075
262022-09-30227143084746373179679351013091613610228769894116734153728763005454192238153037711882861539651034320
272022-12-3122969210461831018350900101661061387016877909011147375507775639605314418900342451204007955971108410
282023-03-3122723050443485818288192100729631329079874388411736005571216164796382829440343881161700720031089697
292023-06-3023157828460810118549727101296561340042878961412798726409886388845901127764312471149996690811080915
302023-09-3023054323460939818444925101851561337126884803012490876477886012996078826106346821179500797571099743