Overview

Dataset statistics

Number of variables17
Number of observations25
Missing cells209
Missing cells (%)49.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory157.3 B

Variable types

Text1
Numeric16

Dataset

Description주택도시보증공사가 보유한 보증 및 자산의 익스포져 현황* 익스포져 : 리스크에 노출되어 있는 금액- 데이터 항목명 : 신용등급별 기업보증상품의 보유 익스포져- 데이터 기간 : 24.02.29. 기준
Author주택도시보증공사
URLhttps://www.data.go.kr/data/15011863/fileData.do

Alerts

1등급 is highly overall correlated with 2등급 and 10 other fieldsHigh correlation
2등급 is highly overall correlated with 1등급 and 7 other fieldsHigh correlation
3등급 is highly overall correlated with 1등급 and 9 other fieldsHigh correlation
4등급 is highly overall correlated with 1등급 and 5 other fieldsHigh correlation
5등급 is highly overall correlated with 6등급 and 5 other fieldsHigh correlation
6등급 is highly overall correlated with 1등급 and 8 other fieldsHigh correlation
7등급 is highly overall correlated with 1등급 and 12 other fieldsHigh correlation
8등급 is highly overall correlated with 1등급 and 11 other fieldsHigh correlation
9등급 is highly overall correlated with 1등급 and 9 other fieldsHigh correlation
10등급 is highly overall correlated with 1등급 and 9 other fieldsHigh correlation
11등급 is highly overall correlated with 5등급 and 5 other fieldsHigh correlation
12등급 is highly overall correlated with 1등급 and 10 other fieldsHigh correlation
13등급 is highly overall correlated with 5등급 and 3 other fieldsHigh correlation
14등급 is highly overall correlated with 5등급 and 1 other fieldsHigh correlation
15등급 is highly overall correlated with 1등급 and 8 other fieldsHigh correlation
무등급 is highly overall correlated with 1등급 and 6 other fieldsHigh correlation
1등급 has 14 (56.0%) missing valuesMissing
2등급 has 13 (52.0%) missing valuesMissing
3등급 has 12 (48.0%) missing valuesMissing
4등급 has 14 (56.0%) missing valuesMissing
5등급 has 14 (56.0%) missing valuesMissing
6등급 has 12 (48.0%) missing valuesMissing
7등급 has 15 (60.0%) missing valuesMissing
8등급 has 7 (28.0%) missing valuesMissing
9등급 has 10 (40.0%) missing valuesMissing
10등급 has 12 (48.0%) missing valuesMissing
11등급 has 19 (76.0%) missing valuesMissing
12등급 has 14 (56.0%) missing valuesMissing
13등급 has 15 (60.0%) missing valuesMissing
14등급 has 15 (60.0%) missing valuesMissing
15등급 has 12 (48.0%) missing valuesMissing
무등급 has 11 (44.0%) missing valuesMissing
상품명 has unique valuesUnique
15등급 has 1 (4.0%) zerosZeros

Reproduction

Analysis started2024-04-06 09:08:23.483162
Analysis finished2024-04-06 09:09:04.928856
Duration41.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T18:09:05.176615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.24
Min length4

Characters and Unicode

Total characters231
Distinct characters68
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowPF보증
2nd row기금건설자금대출보증(주택,준주택)
3rd row도시재생PF
4th row도심주택 특약보증
5th row리모델링사업비보증
ValueCountFrequency (%)
pf보증 1
 
3.8%
기금건설자금대출보증(주택,준주택 1
 
3.8%
하자보수보증 1
 
3.8%
하도급대금지급보증 1
 
3.8%
주택임대보증 1
 
3.8%
주택분양보증 1
 
3.8%
주상복합주택분양보증 1
 
3.8%
조합주택시공보증 1
 
3.8%
조합사업비대출보증 1
 
3.8%
임대주택매입자금보증 1
 
3.8%
Other values (16) 16
61.5%
2024-04-06T18:09:05.826914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
11.7%
26
 
11.3%
13
 
5.6%
9
 
3.9%
9
 
3.9%
9
 
3.9%
8
 
3.5%
7
 
3.0%
7
 
3.0%
5
 
2.2%
Other values (58) 111
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
93.5%
Uppercase Letter 6
 
2.6%
Close Punctuation 3
 
1.3%
Open Punctuation 3
 
1.3%
Other Punctuation 2
 
0.9%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
 
12.5%
26
 
12.0%
13
 
6.0%
9
 
4.2%
9
 
4.2%
9
 
4.2%
8
 
3.7%
7
 
3.2%
7
 
3.2%
5
 
2.3%
Other values (51) 96
44.4%
Uppercase Letter
ValueCountFrequency (%)
P 3
50.0%
F 3
50.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
93.5%
Common 9
 
3.9%
Latin 6
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
 
12.5%
26
 
12.0%
13
 
6.0%
9
 
4.2%
9
 
4.2%
9
 
4.2%
8
 
3.7%
7
 
3.2%
7
 
3.2%
5
 
2.3%
Other values (51) 96
44.4%
Common
ValueCountFrequency (%)
) 3
33.3%
( 3
33.3%
, 1
 
11.1%
1
 
11.1%
. 1
 
11.1%
Latin
ValueCountFrequency (%)
P 3
50.0%
F 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
93.5%
ASCII 15
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
27
 
12.5%
26
 
12.0%
13
 
6.0%
9
 
4.2%
9
 
4.2%
9
 
4.2%
8
 
3.7%
7
 
3.2%
7
 
3.2%
5
 
2.3%
Other values (51) 96
44.4%
ASCII
ValueCountFrequency (%)
P 3
20.0%
) 3
20.0%
( 3
20.0%
F 3
20.0%
, 1
 
6.7%
1
 
6.7%
. 1
 
6.7%

1등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)100.0%
Missing14
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean6.8957084 × 1011
Minimum1.3629263 × 1010
Maximum4.37 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:06.042799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3629263 × 1010
5-th percentile1.5139632 × 1010
Q19.05 × 1010
median2.22 × 1011
Q33.915 × 1011
95-th percentile2.97 × 1012
Maximum4.37 × 1012
Range4.3563707 × 1012
Interquartile range (IQR)3.01 × 1011

Descriptive statistics

Standard deviation1.2965568 × 1012
Coefficient of variation (CV)1.8802372
Kurtosis7.8308356
Mean6.8957084 × 1011
Median Absolute Deviation (MAD)1.73 × 1011
Skewness2.7536837
Sum7.5852793 × 1012
Variance1.6810595 × 1024
MonotonicityNot monotonic
2024-04-06T18:09:06.615130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
49000000000 1
 
4.0%
16650000000 1
 
4.0%
13629263236 1
 
4.0%
132000000000 1
 
4.0%
1570000000000 1
 
4.0%
223000000000 1
 
4.0%
222000000000 1
 
4.0%
466000000000 1
 
4.0%
4370000000000 1
 
4.0%
206000000000 1
 
4.0%
(Missing) 14
56.0%
ValueCountFrequency (%)
13629263236 1
4.0%
16650000000 1
4.0%
49000000000 1
4.0%
132000000000 1
4.0%
206000000000 1
4.0%
222000000000 1
4.0%
223000000000 1
4.0%
317000000000 1
4.0%
466000000000 1
4.0%
1570000000000 1
4.0%
ValueCountFrequency (%)
4370000000000 1
4.0%
1570000000000 1
4.0%
466000000000 1
4.0%
317000000000 1
4.0%
223000000000 1
4.0%
222000000000 1
4.0%
206000000000 1
4.0%
132000000000 1
4.0%
49000000000 1
4.0%
16650000000 1
4.0%

2등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)100.0%
Missing13
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean1.1672633 × 1012
Minimum1.3221605 × 109
Maximum9.3 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:06.798890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3221605 × 109
5-th percentile1.1505322 × 1010
Q19.075 × 1010
median2.12 × 1011
Q38.415 × 1011
95-th percentile5.2135 × 1012
Maximum9.3 × 1012
Range9.2986778 × 1012
Interquartile range (IQR)7.5075 × 1011

Descriptive statistics

Standard deviation2.617624 × 1012
Coefficient of variation (CV)2.2425309
Kurtosis10.682482
Mean1.1672633 × 1012
Median Absolute Deviation (MAD)1.975815 × 1011
Skewness3.2187207
Sum1.4007159 × 1013
Variance6.8519554 × 1024
MonotonicityNot monotonic
2024-04-06T18:09:06.962392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
834000000000 1
 
4.0%
1322160482 1
 
4.0%
103000000000 1
 
4.0%
1870000000000 1
 
4.0%
19837000000 1
 
4.0%
122000000000 1
 
4.0%
183000000000 1
 
4.0%
864000000000 1
 
4.0%
9300000000000 1
 
4.0%
241000000000 1
 
4.0%
Other values (2) 2
 
8.0%
(Missing) 13
52.0%
ValueCountFrequency (%)
1322160482 1
4.0%
19837000000 1
4.0%
54000000000 1
4.0%
103000000000 1
4.0%
122000000000 1
4.0%
183000000000 1
4.0%
241000000000 1
4.0%
415000000000 1
4.0%
834000000000 1
4.0%
864000000000 1
4.0%
ValueCountFrequency (%)
9300000000000 1
4.0%
1870000000000 1
4.0%
864000000000 1
4.0%
834000000000 1
4.0%
415000000000 1
4.0%
241000000000 1
4.0%
183000000000 1
4.0%
122000000000 1
4.0%
103000000000 1
4.0%
54000000000 1
4.0%

3등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)100.0%
Missing12
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean1.7531642 × 1012
Minimum7.3551629 × 108
Maximum1.29 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:07.095465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3551629 × 108
5-th percentile1.8276909 × 1010
Q13.504 × 1010
median1.95 × 1011
Q31.19 × 1012
95-th percentile7.932 × 1012
Maximum1.29 × 1013
Range1.2899264 × 1013
Interquartile range (IQR)1.15496 × 1012

Descriptive statistics

Standard deviation3.587359 × 1012
Coefficient of variation (CV)2.0462196
Kurtosis9.0303081
Mean1.7531642 × 1012
Median Absolute Deviation (MAD)1.9426448 × 1011
Skewness2.9296559
Sum2.2791135 × 1013
Variance1.2869145 × 1025
MonotonicityNot monotonic
2024-04-06T18:09:07.286291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
35040000000 1
 
4.0%
160000000000 1
 
4.0%
31377356439 1
 
4.0%
735516288 1
 
4.0%
29971170000 1
 
4.0%
195000000000 1
 
4.0%
4620000000000 1
 
4.0%
1960000000000 1
 
4.0%
1190000000000 1
 
4.0%
730000000000 1
 
4.0%
Other values (3) 3
 
12.0%
(Missing) 12
48.0%
ValueCountFrequency (%)
735516288 1
4.0%
29971170000 1
4.0%
31377356439 1
4.0%
35040000000 1
4.0%
61011122840 1
4.0%
160000000000 1
4.0%
195000000000 1
4.0%
730000000000 1
4.0%
878000000000 1
4.0%
1190000000000 1
4.0%
ValueCountFrequency (%)
12900000000000 1
4.0%
4620000000000 1
4.0%
1960000000000 1
4.0%
1190000000000 1
4.0%
878000000000 1
4.0%
730000000000 1
4.0%
195000000000 1
4.0%
160000000000 1
4.0%
61011122840 1
4.0%
35040000000 1
4.0%

4등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)100.0%
Missing14
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean1.460367 × 1013
Minimum1.0371041 × 1010
Maximum1.26 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:07.530676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0371041 × 1010
5-th percentile3.7568552 × 1011
Q18.995 × 1011
median2.72 × 1012
Q36.15 × 1012
95-th percentile6.915 × 1013
Maximum1.26 × 1014
Range1.2598963 × 1014
Interquartile range (IQR)5.2505 × 1012

Descriptive statistics

Standard deviation3.7120206 × 1013
Coefficient of variation (CV)2.5418409
Kurtosis10.724468
Mean1.460367 × 1013
Median Absolute Deviation (MAD)1.979 × 1012
Skewness3.2613372
Sum1.6064037 × 1014
Variance1.3779097 × 1027
MonotonicityNot monotonic
2024-04-06T18:09:07.718252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2720000000000 1
 
4.0%
741000000000 1
 
4.0%
10371040990 1
 
4.0%
824000000000 1
 
4.0%
1630000000000 1
 
4.0%
12300000000000 1
 
4.0%
6210000000000 1
 
4.0%
6090000000000 1
 
4.0%
126000000000000 1
 
4.0%
975000000000 1
 
4.0%
(Missing) 14
56.0%
ValueCountFrequency (%)
10371040990 1
4.0%
741000000000 1
4.0%
824000000000 1
4.0%
975000000000 1
4.0%
1630000000000 1
4.0%
2720000000000 1
4.0%
3140000000000 1
4.0%
6090000000000 1
4.0%
6210000000000 1
4.0%
12300000000000 1
4.0%
ValueCountFrequency (%)
126000000000000 1
4.0%
12300000000000 1
4.0%
6210000000000 1
4.0%
6090000000000 1
4.0%
3140000000000 1
4.0%
2720000000000 1
4.0%
1630000000000 1
4.0%
975000000000 1
4.0%
824000000000 1
4.0%
741000000000 1
4.0%

5등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)100.0%
Missing14
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean1.3046183 × 1011
Minimum3.620043 × 109
Maximum6.43 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:07.926518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.620043 × 109
5-th percentile4.2923215 × 109
Q17.8461698 × 109
median1.823285 × 1010
Q31.6728292 × 1011
95-th percentile5.105 × 1011
Maximum6.43 × 1011
Range6.3937996 × 1011
Interquartile range (IQR)1.5943675 × 1011

Descriptive statistics

Standard deviation2.1507349 × 1011
Coefficient of variation (CV)1.6485549
Kurtosis2.2727688
Mean1.3046183 × 1011
Median Absolute Deviation (MAD)1.326825 × 1010
Skewness1.7443937
Sum1.4350801 × 1012
Variance4.6256604 × 1022
MonotonicityNot monotonic
2024-04-06T18:09:08.151822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3620043000 1
 
4.0%
18868000000 1
 
4.0%
5253739543 1
 
4.0%
302000000000 1
 
4.0%
643000000000 1
 
4.0%
378000000000 1
 
4.0%
4964600000 1
 
4.0%
18232850438 1
 
4.0%
32565847200 1
 
4.0%
10438600000 1
 
4.0%
(Missing) 14
56.0%
ValueCountFrequency (%)
3620043000 1
4.0%
4964600000 1
4.0%
5253739543 1
4.0%
10438600000 1
4.0%
18136448997 1
4.0%
18232850438 1
4.0%
18868000000 1
4.0%
32565847200 1
4.0%
302000000000 1
4.0%
378000000000 1
4.0%
ValueCountFrequency (%)
643000000000 1
4.0%
378000000000 1
4.0%
302000000000 1
4.0%
32565847200 1
4.0%
18868000000 1
4.0%
18232850438 1
4.0%
18136448997 1
4.0%
10438600000 1
4.0%
5253739543 1
4.0%
4964600000 1
4.0%

6등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)100.0%
Missing12
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean7.6162567 × 1010
Minimum14250000
Maximum5.34 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:08.351907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14250000
5-th percentile1.4157 × 109
Q11.0129542 × 1010
median1.3569379 × 1010
Q38.593718 × 1010
95-th percentile3.06 × 1011
Maximum5.34 × 1011
Range5.3398575 × 1011
Interquartile range (IQR)7.5807638 × 1010

Descriptive statistics

Standard deviation1.4626625 × 1011
Coefficient of variation (CV)1.920448
Kurtosis9.374477
Mean7.6162567 × 1010
Median Absolute Deviation (MAD)9.6002321 × 109
Skewness2.9556897
Sum9.9011337 × 1011
Variance2.1393816 × 1022
MonotonicityNot monotonic
2024-04-06T18:09:08.534927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
11987000000 1
 
4.0%
10129542318 1
 
4.0%
23169611065 1
 
4.0%
19000000000 1
 
4.0%
5055308000 1
 
4.0%
14250000 1
 
4.0%
154000000000 1
 
4.0%
534000000000 1
 
4.0%
2350000000 1
 
4.0%
10901100000 1
 
4.0%
Other values (3) 3
 
12.0%
(Missing) 12
48.0%
ValueCountFrequency (%)
14250000 1
4.0%
2350000000 1
4.0%
5055308000 1
4.0%
10129542318 1
4.0%
10901100000 1
4.0%
11987000000 1
4.0%
13569378972 1
4.0%
19000000000 1
4.0%
23169611065 1
4.0%
85937180000 1
4.0%
ValueCountFrequency (%)
534000000000 1
4.0%
154000000000 1
4.0%
120000000000 1
4.0%
85937180000 1
4.0%
23169611065 1
4.0%
19000000000 1
4.0%
13569378972 1
4.0%
11987000000 1
4.0%
10901100000 1
4.0%
10129542318 1
4.0%

7등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing15
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean4.2097471 × 1011
Minimum7.25 × 108
Maximum2.42 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:08.710574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.25 × 108
5-th percentile1.7097585 × 109
Q11.31327 × 1010
median6.2616492 × 1010
Q35.8975 × 1011
95-th percentile1.6757 × 1012
Maximum2.42 × 1012
Range2.419275 × 1012
Interquartile range (IQR)5.766173 × 1011

Descriptive statistics

Standard deviation7.6431401 × 1011
Coefficient of variation (CV)1.8155818
Kurtosis5.9910462
Mean4.2097471 × 1011
Median Absolute Deviation (MAD)5.849606 × 1010
Skewness2.3841743
Sum4.2097471 × 1012
Variance5.841759 × 1023
MonotonicityNot monotonic
2024-04-06T18:09:08.886820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
725000000 1
 
4.0%
2913352200 1
 
4.0%
100000000000 1
 
4.0%
5327511334 1
 
4.0%
753000000000 1
 
4.0%
2420000000000 1
 
4.0%
48468254288 1
 
4.0%
76764729900 1
 
4.0%
766000000000 1
 
4.0%
36548264357 1
 
4.0%
(Missing) 15
60.0%
ValueCountFrequency (%)
725000000 1
4.0%
2913352200 1
4.0%
5327511334 1
4.0%
36548264357 1
4.0%
48468254288 1
4.0%
76764729900 1
4.0%
100000000000 1
4.0%
753000000000 1
4.0%
766000000000 1
4.0%
2420000000000 1
4.0%
ValueCountFrequency (%)
2420000000000 1
4.0%
766000000000 1
4.0%
753000000000 1
4.0%
100000000000 1
4.0%
76764729900 1
4.0%
48468254288 1
4.0%
36548264357 1
4.0%
5327511334 1
4.0%
2913352200 1
4.0%
725000000 1
4.0%

8등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)94.4%
Missing7
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.1027251 × 1012
Minimum1.3943933 × 109
Maximum7.46 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:09.084339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3943933 × 109
5-th percentile1.2831438 × 1010
Q15.8265891 × 1010
median2.5 × 1011
Q31.1095 × 1012
95-th percentile5.8875 × 1012
Maximum7.46 × 1012
Range7.4586056 × 1012
Interquartile range (IQR)1.0512341 × 1012

Descriptive statistics

Standard deviation2.0644124 × 1012
Coefficient of variation (CV)1.8721008
Kurtosis5.8813136
Mean1.1027251 × 1012
Median Absolute Deviation (MAD)2.34773 × 1011
Skewness2.5402189
Sum1.9849051 × 1013
Variance4.2617987 × 1024
MonotonicityNot monotonic
2024-04-06T18:09:09.297566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
250000000000 2
 
8.0%
15604261000 1
 
4.0%
183000000000 1
 
4.0%
1394393310 1
 
4.0%
48757397530 1
 
4.0%
20653826730 1
 
4.0%
1670000000000 1
 
4.0%
7460000000000 1
 
4.0%
14849740080 1
 
4.0%
1310000000000 1
 
4.0%
Other values (7) 7
28.0%
(Missing) 7
28.0%
ValueCountFrequency (%)
1394393310 1
4.0%
14849740080 1
4.0%
15604261000 1
4.0%
20653826730 1
4.0%
48757397530 1
4.0%
86791372948 1
4.0%
183000000000 1
4.0%
228000000000 1
4.0%
250000000000 2
8.0%
322000000000 1
4.0%
ValueCountFrequency (%)
7460000000000 1
4.0%
5610000000000 1
4.0%
1670000000000 1
4.0%
1370000000000 1
4.0%
1310000000000 1
4.0%
508000000000 1
4.0%
500000000000 1
4.0%
322000000000 1
4.0%
250000000000 2
8.0%
228000000000 1
4.0%

9등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)100.0%
Missing10
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean4.6927717 × 1012
Minimum1.9375515 × 109
Maximum4.73 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:09.521820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9375515 × 109
5-th percentile1.0182376 × 1010
Q11.32 × 1011
median6.97 × 1011
Q33.525 × 1012
95-th percentile1.9349 × 1013
Maximum4.73 × 1013
Range4.7298062 × 1013
Interquartile range (IQR)3.393 × 1012

Descriptive statistics

Standard deviation1.1986405 × 1013
Coefficient of variation (CV)2.5542271
Kurtosis13.794276
Mean4.6927717 × 1012
Median Absolute Deviation (MAD)6.33 × 1011
Skewness3.6636765
Sum7.0391576 × 1013
Variance1.436739 × 1026
MonotonicityNot monotonic
2024-04-06T18:09:09.728148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
552000000000 1
 
4.0%
1937551500 1
 
4.0%
390000000000 1
 
4.0%
95922341000 1
 
4.0%
13715872403 1
 
4.0%
134000000000 1
 
4.0%
4120000000000 1
 
4.0%
697000000000 1
 
4.0%
7370000000000 1
 
4.0%
4620000000000 1
 
4.0%
Other values (5) 5
20.0%
(Missing) 10
40.0%
ValueCountFrequency (%)
1937551500 1
4.0%
13715872403 1
4.0%
95922341000 1
4.0%
130000000000 1
4.0%
134000000000 1
4.0%
390000000000 1
4.0%
552000000000 1
4.0%
697000000000 1
4.0%
707000000000 1
4.0%
1330000000000 1
4.0%
ValueCountFrequency (%)
47300000000000 1
4.0%
7370000000000 1
4.0%
4620000000000 1
4.0%
4120000000000 1
4.0%
2930000000000 1
4.0%
1330000000000 1
4.0%
707000000000 1
4.0%
697000000000 1
4.0%
552000000000 1
4.0%
390000000000 1
4.0%

10등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)100.0%
Missing12
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean8.846623 × 1011
Minimum4.723 × 108
Maximum6.42 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:09.928672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.723 × 108
5-th percentile2.9438019 × 109
Q11.49 × 1011
median3.76 × 1011
Q36.2 × 1011
95-th percentile3.708 × 1012
Maximum6.42 × 1012
Range6.4195277 × 1012
Interquartile range (IQR)4.71 × 1011

Descriptive statistics

Standard deviation1.7358673 × 1012
Coefficient of variation (CV)1.9621808
Kurtosis10.384921
Mean8.846623 × 1011
Median Absolute Deviation (MAD)2.44 × 1011
Skewness3.1501746
Sum1.150061 × 1013
Variance3.0132354 × 1024
MonotonicityNot monotonic
2024-04-06T18:09:10.154375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
287000000000 1
 
4.0%
17546152860 1
 
4.0%
472300000 1
 
4.0%
4591469831 1
 
4.0%
376000000000 1
 
4.0%
1900000000000 1
 
4.0%
497000000000 1
 
4.0%
620000000000 1
 
4.0%
668000000000 1
 
4.0%
6420000000000 1
 
4.0%
Other values (3) 3
 
12.0%
(Missing) 12
48.0%
ValueCountFrequency (%)
472300000 1
4.0%
4591469831 1
4.0%
17546152860 1
4.0%
149000000000 1
4.0%
168000000000 1
4.0%
287000000000 1
4.0%
376000000000 1
4.0%
393000000000 1
4.0%
497000000000 1
4.0%
620000000000 1
4.0%
ValueCountFrequency (%)
6420000000000 1
4.0%
1900000000000 1
4.0%
668000000000 1
4.0%
620000000000 1
4.0%
497000000000 1
4.0%
393000000000 1
4.0%
376000000000 1
4.0%
287000000000 1
4.0%
168000000000 1
4.0%
149000000000 1
4.0%

11등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)100.0%
Missing19
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1.9110389 × 1011
Minimum6.0028059 × 109
Maximum7.05 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:10.385552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.0028059 × 109
5-th percentile7.1921044 × 109
Q11.4035132 × 1010
median9.5930263 × 1010
Q32.1675 × 1011
95-th percentile5.87 × 1011
Maximum7.05 × 1011
Range6.9899719 × 1011
Interquartile range (IQR)2.0271487 × 1011

Descriptive statistics

Standard deviation2.687508 × 1011
Coefficient of variation (CV)1.4063073
Kurtosis3.5132606
Mean1.9110389 × 1011
Median Absolute Deviation (MAD)8.754886 × 1010
Skewness1.8374617
Sum1.1466233 × 1012
Variance7.2226992 × 1022
MonotonicityNot monotonic
2024-04-06T18:09:10.609721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6002805854 1
 
4.0%
705000000000 1
 
4.0%
168000000000 1
 
4.0%
10760000000 1
 
4.0%
233000000000 1
 
4.0%
23860526853 1
 
4.0%
(Missing) 19
76.0%
ValueCountFrequency (%)
6002805854 1
4.0%
10760000000 1
4.0%
23860526853 1
4.0%
168000000000 1
4.0%
233000000000 1
4.0%
705000000000 1
4.0%
ValueCountFrequency (%)
705000000000 1
4.0%
233000000000 1
4.0%
168000000000 1
4.0%
23860526853 1
4.0%
10760000000 1
4.0%
6002805854 1
4.0%

12등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)100.0%
Missing14
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean3.1799783 × 1011
Minimum1350000
Maximum1.24 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:10.795315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1350000
5-th percentile12331800
Q13.5943855 × 109
median8 × 1010
Q34.065 × 1011
95-th percentile1.21 × 1012
Maximum1.24 × 1012
Range1.2399986 × 1012
Interquartile range (IQR)4.0290561 × 1011

Descriptive statistics

Standard deviation4.6877176 × 1011
Coefficient of variation (CV)1.4741351
Kurtosis0.87279965
Mean3.1799783 × 1011
Median Absolute Deviation (MAD)7.9976686 × 1010
Skewness1.4959233
Sum3.4979762 × 1012
Variance2.1974696 × 1023
MonotonicityNot monotonic
2024-04-06T18:09:11.056494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
80000000000 1
 
4.0%
23313600 1
 
4.0%
4809720000 1
 
4.0%
2379050942 1
 
4.0%
1350000 1
 
4.0%
503000000000 1
 
4.0%
1180000000000 1
 
4.0%
154000000000 1
 
4.0%
310000000000 1
 
4.0%
1240000000000 1
 
4.0%
(Missing) 14
56.0%
ValueCountFrequency (%)
1350000 1
4.0%
23313600 1
4.0%
2379050942 1
4.0%
4809720000 1
4.0%
23762718312 1
4.0%
80000000000 1
4.0%
154000000000 1
4.0%
310000000000 1
4.0%
503000000000 1
4.0%
1180000000000 1
4.0%
ValueCountFrequency (%)
1240000000000 1
4.0%
1180000000000 1
4.0%
503000000000 1
4.0%
310000000000 1
4.0%
154000000000 1
4.0%
80000000000 1
4.0%
23762718312 1
4.0%
4809720000 1
4.0%
2379050942 1
4.0%
23313600 1
4.0%

13등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing15
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.0727901 × 1012
Minimum5.874 × 108
Maximum7.6 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:11.276587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.874 × 108
5-th percentile1.7095144 × 109
Q11.0993324 × 1010
median4.1839535 × 1010
Q32.625 × 1011
95-th percentile5.35 × 1012
Maximum7.6 × 1012
Range7.5994126 × 1012
Interquartile range (IQR)2.5150668 × 1011

Descriptive statistics

Standard deviation2.429569 × 1012
Coefficient of variation (CV)2.26472
Kurtosis7.1188173
Mean1.0727901 × 1012
Median Absolute Deviation (MAD)4.0005341 × 1010
Skewness2.6464169
Sum1.0727901 × 1013
Variance5.9028057 × 1024
MonotonicityNot monotonic
2024-04-06T18:09:11.462959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
44148150000 1
 
4.0%
10710099724 1
 
4.0%
316000000000 1
 
4.0%
3080987593 1
 
4.0%
2600000000000 1
 
4.0%
7600000000000 1
 
4.0%
587400000 1
 
4.0%
102000000000 1
 
4.0%
39530920000 1
 
4.0%
11842995707 1
 
4.0%
(Missing) 15
60.0%
ValueCountFrequency (%)
587400000 1
4.0%
3080987593 1
4.0%
10710099724 1
4.0%
11842995707 1
4.0%
39530920000 1
4.0%
44148150000 1
4.0%
102000000000 1
4.0%
316000000000 1
4.0%
2600000000000 1
4.0%
7600000000000 1
4.0%
ValueCountFrequency (%)
7600000000000 1
4.0%
2600000000000 1
4.0%
316000000000 1
4.0%
102000000000 1
4.0%
44148150000 1
4.0%
39530920000 1
4.0%
11842995707 1
4.0%
10710099724 1
4.0%
3080987593 1
4.0%
587400000 1
4.0%

14등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing15
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean9.253996 × 1010
Minimum56672630
Maximum4.77 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:11.664500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56672630
5-th percentile73663127
Q11.6749129 × 109
median1.3502715 × 1010
Q31.4655684 × 1011
95-th percentile3.546 × 1011
Maximum4.77 × 1011
Range4.7694333 × 1011
Interquartile range (IQR)1.4488193 × 1011

Descriptive statistics

Standard deviation1.5637825 × 1011
Coefficient of variation (CV)1.6898457
Kurtosis3.862881
Mean9.253996 × 1010
Median Absolute Deviation (MAD)1.2784515 × 1010
Skewness1.9862691
Sum9.253996 × 1011
Variance2.4454157 × 1022
MonotonicityNot monotonic
2024-04-06T18:09:11.869771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1341971518 1
 
4.0%
2673737119 1
 
4.0%
187000000000 1
 
4.0%
477000000000 1
 
4.0%
205000000000 1
 
4.0%
25227355746 1
 
4.0%
23270763326 1
 
4.0%
94429290 1
 
4.0%
56672630 1
 
4.0%
3734666664 1
 
4.0%
(Missing) 15
60.0%
ValueCountFrequency (%)
56672630 1
4.0%
94429290 1
4.0%
1341971518 1
4.0%
2673737119 1
4.0%
3734666664 1
4.0%
23270763326 1
4.0%
25227355746 1
4.0%
187000000000 1
4.0%
205000000000 1
4.0%
477000000000 1
4.0%
ValueCountFrequency (%)
477000000000 1
4.0%
205000000000 1
4.0%
187000000000 1
4.0%
25227355746 1
4.0%
23270763326 1
4.0%
3734666664 1
4.0%
2673737119 1
4.0%
1341971518 1
4.0%
94429290 1
4.0%
56672630 1
4.0%

15등급
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct13
Distinct (%)100.0%
Missing12
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean2.1523078 × 1011
Minimum0
Maximum1.06 × 1012
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:12.056452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47359350
Q12.3441714 × 109
median4.49656 × 1010
Q32 × 1011
95-th percentile9.904 × 1011
Maximum1.06 × 1012
Range1.06 × 1012
Interquartile range (IQR)1.9765583 × 1011

Descriptive statistics

Standard deviation3.5954929 × 1011
Coefficient of variation (CV)1.6705291
Kurtosis2.7100717
Mean2.1523078 × 1011
Median Absolute Deviation (MAD)4.49656 × 1010
Skewness1.9638109
Sum2.7980002 × 1012
Variance1.2927569 × 1023
MonotonicityNot monotonic
2024-04-06T18:09:12.253518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 1
 
4.0%
78932250 1
 
4.0%
44965600000 1
 
4.0%
4816127210 1
 
4.0%
149000000000 1
 
4.0%
944000000000 1
 
4.0%
2344171427 1
 
4.0%
200000000000 1
 
4.0%
206000000000 1
 
4.0%
1060000000000 1
 
4.0%
Other values (3) 3
 
12.0%
(Missing) 12
48.0%
ValueCountFrequency (%)
0 1
4.0%
78932250 1
4.0%
82872000 1
4.0%
2344171427 1
4.0%
4816127210 1
4.0%
7712468016 1
4.0%
44965600000 1
4.0%
149000000000 1
4.0%
179000000000 1
4.0%
200000000000 1
4.0%
ValueCountFrequency (%)
1060000000000 1
4.0%
944000000000 1
4.0%
206000000000 1
4.0%
200000000000 1
4.0%
179000000000 1
4.0%
149000000000 1
4.0%
44965600000 1
4.0%
7712468016 1
4.0%
4816127210 1
4.0%
2344171427 1
4.0%

무등급
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)100.0%
Missing11
Missing (%)44.0%
Infinite0
Infinite (%)0.0%
Mean1.6434611 × 1011
Minimum1.5321902 × 109
Maximum1.03 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T18:09:12.458852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5321902 × 109
5-th percentile3.1971461 × 109
Q17.6946125 × 109
median3.6962323 × 1010
Q31.6375 × 1011
95-th percentile6.946 × 1011
Maximum1.03 × 1012
Range1.0284678 × 1012
Interquartile range (IQR)1.5605539 × 1011

Descriptive statistics

Standard deviation2.846022 × 1011
Coefficient of variation (CV)1.7317246
Kurtosis6.9895066
Mean1.6434611 × 1011
Median Absolute Deviation (MAD)3.4149398 × 1010
Skewness2.5860655
Sum2.3008455 × 1012
Variance8.0998413 × 1022
MonotonicityNot monotonic
2024-04-06T18:09:12.634520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4093660800 1
 
4.0%
173000000000 1
 
4.0%
10000000000 1
 
4.0%
136000000000 1
 
4.0%
22148831277 1
 
4.0%
1532190200 1
 
4.0%
6926150000 1
 
4.0%
514000000000 1
 
4.0%
1030000000000 1
 
4.0%
133000000000 1
 
4.0%
Other values (4) 4
 
16.0%
(Missing) 11
44.0%
ValueCountFrequency (%)
1532190200 1
4.0%
4093660800 1
4.0%
6220067500 1
4.0%
6926150000 1
4.0%
10000000000 1
4.0%
22148831277 1
4.0%
23257838191 1
4.0%
50666808607 1
4.0%
133000000000 1
4.0%
136000000000 1
4.0%
ValueCountFrequency (%)
1030000000000 1
4.0%
514000000000 1
4.0%
190000000000 1
4.0%
173000000000 1
4.0%
136000000000 1
4.0%
133000000000 1
4.0%
50666808607 1
4.0%
23257838191 1
4.0%
22148831277 1
4.0%
10000000000 1
4.0%

Interactions

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2024-04-06T18:08:37.869062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:40.564995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:43.016724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:45.441435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:48.294160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:50.654719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:53.166143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:55.593447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:58.427096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:00.959497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:03.364213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:25.918450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:28.189806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:30.866869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:33.327109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:35.676595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:38.002654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:40.737113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:43.177193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:45.599877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:48.442739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:50.819129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:53.312527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:55.769496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:58.579968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:01.136380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:03.503088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:26.041381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:28.330965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:31.029024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:33.467665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:35.802684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:38.515474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:40.872955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:43.311386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:45.737124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:48.583994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:51.008024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:53.449353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:55.928453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:58.744051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:01.254519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:03.631446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:26.173014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:28.466564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:31.183010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:33.606073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:35.950472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:38.649902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:41.016427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:43.446263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:45.886921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:48.735872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:51.175161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:53.596094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:56.094361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:08:58.907707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:09:01.398168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:09:12.785549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상품명1등급2등급3등급4등급5등급6등급7등급8등급9등급10등급11등급12등급13등급14등급15등급무등급
상품명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
1등급1.0001.0001.0000.9561.0000.4650.9870.6810.7420.5311.0001.0000.0000.4650.8580.9710.841
2등급1.0001.0001.0001.0001.0000.5041.0000.9511.0000.9081.0001.0000.0000.8580.4651.0000.695
3등급1.0000.9561.0001.0001.0000.5040.9600.9621.0001.0000.9600.9130.6470.8760.4650.9740.983
4등급1.0001.0001.0001.0001.0000.0001.0000.1931.0001.0001.0001.0000.0000.0000.0001.0000.435
5등급1.0000.4650.5040.5040.0001.0000.7150.9620.8480.0000.5041.0000.6721.0001.0000.5430.543
6등급1.0000.9871.0000.9601.0000.7151.0000.7890.8660.5660.9881.0000.7260.7151.0000.9840.866
7등급1.0000.6810.9510.9620.1930.9620.7891.0001.0000.3020.7051.0000.5760.9620.9510.6810.884
8등급1.0000.7421.0001.0001.0000.8480.8661.0001.0000.7770.7671.0000.9731.0000.8340.8090.852
9등급1.0000.5310.9081.0001.0000.0000.5660.3020.7771.0000.5670.4160.7110.0000.0000.6130.715
10등급1.0001.0001.0000.9601.0000.5040.9880.7050.7670.5671.0001.0000.3850.5040.8760.9710.841
11등급1.0001.0001.0000.9131.0001.0001.0001.0001.0000.4161.0001.0000.7711.0001.0000.9130.913
12등급1.0000.0000.0000.6470.0000.6720.7260.5760.9730.7110.3850.7711.0000.9690.5960.4380.759
13등급1.0000.4650.8580.8760.0001.0000.7150.9621.0000.0000.5041.0000.9691.0001.0000.6000.876
14등급1.0000.8580.4650.4650.0001.0001.0000.9510.8340.0000.8761.0000.5961.0001.0000.4160.598
15등급1.0000.9711.0000.9741.0000.5430.9840.6810.8090.6130.9710.9130.4380.6000.4161.0000.845
무등급1.0000.8410.6950.9830.4350.5430.8660.8840.8520.7150.8410.9130.7590.8760.5980.8451.000
2024-04-06T18:09:13.031698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1등급2등급3등급4등급5등급6등급7등급8등급9등급10등급11등급12등급13등급14등급15등급무등급
1등급1.0000.7700.8790.6610.2140.5880.8000.6910.8450.9360.4290.7500.4670.0950.8790.648
2등급0.7701.0000.5390.4790.1330.5330.5480.2520.6570.7450.4290.5710.429-0.2000.6330.383
3등급0.8790.5391.0000.745-0.0240.4300.7380.8270.9150.9030.3710.8500.0950.3100.7000.817
4등급0.6610.4790.7451.000-0.357-0.2330.2140.5450.9030.7210.2000.381-0.286-0.0480.3170.633
5등급0.2140.133-0.024-0.3571.0000.6970.6430.545-0.2120.2620.6570.3570.8100.7670.238-0.150
6등급0.5880.5330.430-0.2330.6971.0000.8000.4200.1640.5390.7710.7090.8790.2380.6360.115
7등급0.8000.5480.7380.2140.6430.8001.0000.7210.5270.8170.6000.8330.5500.4290.8330.786
8등급0.6910.2520.8270.5450.5450.4200.7211.0000.5970.8130.7140.9540.4440.5880.5850.545
9등급0.8450.6570.9150.903-0.2120.1640.5270.5971.0000.8810.2570.7940.079-0.0830.6000.836
10등급0.9360.7450.9030.7210.2620.5390.8170.8130.8811.0000.3710.8500.4170.2860.8180.482
11등급0.4290.4290.3710.2000.6570.7710.6000.7140.2570.3711.0000.7710.7000.2570.4000.029
12등급0.7500.5710.8500.3810.3570.7090.8330.9540.7940.8500.7711.0000.4670.2140.7330.667
13등급0.4670.4290.095-0.2860.8100.8790.5500.4440.0790.4170.7000.4671.0000.4860.1330.333
14등급0.095-0.2000.310-0.0480.7670.2380.4290.588-0.0830.2860.2570.2140.4861.0000.0360.286
15등급0.8790.6330.7000.3170.2380.6360.8330.5850.6000.8180.4000.7330.1330.0361.0000.191
무등급0.6480.3830.8170.633-0.1500.1150.7860.5450.8360.4820.0290.6670.3330.2860.1911.000

Missing values

2024-04-06T18:09:03.829520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:09:04.243610image/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.
2024-04-06T18:09:04.581336image/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

상품명1등급2등급3등급4등급5등급6등급7등급8등급9등급10등급11등급12등급13등급14등급15등급무등급
0PF보증49000000000834000000000350400000002720000000000<NA>11987000000725000000250000000000552000000000287000000000<NA>8000000000044148150000<NA>0<NA>
1기금건설자금대출보증(주택,준주택)16650000000<NA><NA><NA><NA>10129542318291335220014849740080193755150017546152860<NA>2331360010710099724<NA>789322504093660800
2도시재생PF<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3도심주택 특약보증<NA><NA><NA><NA>362004300023169611065<NA>15604261000<NA><NA><NA><NA><NA>1341971518<NA><NA>
4리모델링사업비보증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>173000000000
5리츠회사채보증<NA><NA><NA><NA><NA><NA>100000000000183000000000390000000000<NA><NA><NA><NA><NA><NA><NA>
6모기지보증<NA><NA><NA><NA>1886800000019000000000<NA>25000000000095922341000<NA><NA>4809720000316000000000<NA>4496560000010000000000
7수요자중심형도시재생지원자금보증<NA><NA><NA><NA><NA><NA><NA>1394393310<NA>472300000<NA><NA><NA><NA>4816127210136000000000
8수요자중심형도시재생지원자금특례보증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22148831277
9오피스텔분양보증<NA><NA>160000000000741000000000<NA><NA><NA>48757397530<NA><NA><NA><NA><NA><NA><NA><NA>
상품명1등급2등급3등급4등급5등급6등급7등급8등급9등급10등급11등급12등급13등급14등급15등급무등급
15임대보증금보증(사용검사후)1570000000000187000000000046200000000001630000000000643000000000534000000000242000000000074600000000004120000000000190000000000016800000000011800000000007600000000000477000000000944000000000514000000000
16임대주택매입자금보증<NA>19837000000<NA><NA>378000000000<NA><NA>1370000000000697000000000<NA><NA><NA><NA>205000000000<NA><NA>
17조합사업비대출보증22300000000012200000000019600000000001230000000000049646000002350000000<NA>1310000000000737000000000049700000000010760000000154000000000<NA>2522735574623441714271030000000000
18조합주택시공보증222000000000183000000000119000000000062100000000001823285043810901100000484682542885080000000004620000000000620000000000<NA>31000000000058740000023270763326200000000000133000000000
19주상복합주택분양보증466000000000864000000000730000000000609000000000032565847200120000000000767647299002280000000002930000000000668000000000<NA><NA>102000000000<NA>2060000000006220067500
20주택분양보증437000000000093000000000001290000000000012600000000000010438600000859371800007660000000005610000000000473000000000006420000000000233000000000124000000000039530920000944292901060000000000190000000000
21주택임대보증<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>82872000<NA>
22하도급대금지급보증20600000000024100000000061011122840975000000000<NA><NA><NA>86791372948707000000000149000000000<NA><NA><NA>56672630771246801650666808607
23하자보수보증31700000000041500000000087800000000031400000000001813644899713569378972365482643573220000000001330000000000393000000000238605268532376271831211842995707373466666417900000000023257838191
24후분양대출보증<NA>54000000000<NA><NA><NA><NA><NA>500000000000130000000000168000000000<NA><NA><NA><NA><NA><NA>