Overview

Dataset statistics

Number of variables22
Number of observations78
Missing cells23
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory198.7 B

Variable types

Text1
Numeric21

Dataset

Description신용보증기금의 연도별 보증취급 및 보증잔액, 사고 금액 및 사고율, 대위변제 금액 및 대위변제율, 구상권 회수금액 등에 관한 정보를 나타냅니다 1.1976년부터 2012년까지는 연간 기준, 2013년부터 분기 기준 데이터를 제공 2. 사고율 및 대위변제율은 연간 환산 기준 3. 보증공급은 매 분기말 기준 당해연도 누적 공급액, 보증잔액은 매 분기말 현재 총 보증잔액 기준 4. 총 사고는 채권자(금융회사 등, 이하 동일)가 사고통지한 매 분기말 현재 당해연도 누적 사고액 기준 5. 순사고는 사고통지후 거래 정상화·자진상환 등의 사유로 정상화가 된 업체를 제외한 최종적으로 사고처리 된 기업의 매 분기말 현재 당해연도 누적 사고액 기준
URLhttps://www.data.go.kr/data/15084344/fileData.do

Alerts

구분 has 1 (1.3%) missing valuesMissing
보증공급 has 1 (1.3%) missing valuesMissing
보증잔액 has 1 (1.3%) missing valuesMissing
총사고(금액_억원) has 1 (1.3%) missing valuesMissing
총사고(부실발생률) has 1 (1.3%) missing valuesMissing
순사고(금액_억원) has 1 (1.3%) missing valuesMissing
순사고(부실순증률) has 1 (1.3%) missing valuesMissing
총대위변제(금액_억원) has 1 (1.3%) missing valuesMissing
총대위변제(사고율) has 1 (1.3%) missing valuesMissing
순대위변제(금액_억원) has 1 (1.3%) missing valuesMissing
순대위변제(사고율) has 1 (1.3%) missing valuesMissing
구상채권발생(금액_억원) has 1 (1.3%) missing valuesMissing
구상채권(발생율) has 1 (1.3%) missing valuesMissing
구상채권 회수(금액_억원) has 2 (2.6%) missing valuesMissing
구상채권(회수율) has 1 (1.3%) missing valuesMissing
구상채권잔액 has 1 (1.3%) missing valuesMissing
보증재원출연(정부) has 1 (1.3%) missing valuesMissing
보증재원출연(은행) has 1 (1.3%) missing valuesMissing
보증재원출연(기타) has 1 (1.3%) missing valuesMissing
보증재원출연(계) has 1 (1.3%) missing valuesMissing
기본재산 has 1 (1.3%) missing valuesMissing
보증운용배수 has 1 (1.3%) missing valuesMissing
구상채권 회수(금액_억원) has 1 (1.3%) zerosZeros
구상채권(회수율) has 1 (1.3%) zerosZeros
보증재원출연(정부) has 18 (23.1%) zerosZeros
보증재원출연(기타) has 34 (43.6%) zerosZeros

Reproduction

Analysis started2023-12-12 09:12:46.263124
Analysis finished2023-12-12 09:12:46.494072
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Memory size756.0 B
2023-12-12T18:12:46.741048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6.0779221
Min length4

Characters and Unicode

Total characters468
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row1976
2nd row1977
3rd row1978
4th row1979
5th row1980
ValueCountFrequency (%)
1976 1
 
1.3%
2015년4분기 1
 
1.3%
2017년3분기 1
 
1.3%
2017년2분기 1
 
1.3%
2017년1분기 1
 
1.3%
2016년4분기 1
 
1.3%
2016년3분기 1
 
1.3%
2016년2분기 1
 
1.3%
2019년1분기 1
 
1.3%
2015년3분기 1
 
1.3%
Other values (67) 67
87.0%
2023-12-12T18:12:47.265421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 83
17.7%
1 73
15.6%
0 71
15.2%
9 42
9.0%
년 40
8.5%
분 40
8.5%
기 40
8.5%
8 18
 
3.8%
3 17
 
3.6%
4 17
 
3.6%
Other values (3) 27
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
74.4%
Other Letter 120
 
25.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 83
23.9%
1 73
21.0%
0 71
20.4%
9 42
12.1%
8 18
 
5.2%
3 17
 
4.9%
4 17
 
4.9%
7 12
 
3.4%
6 8
 
2.3%
5 7
 
2.0%
Other Letter
ValueCountFrequency (%)
년 40
33.3%
분 40
33.3%
기 40
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 348
74.4%
Hangul 120
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 83
23.9%
1 73
21.0%
0 71
20.4%
9 42
12.1%
8 18
 
5.2%
3 17
 
4.9%
4 17
 
4.9%
7 12
 
3.4%
6 8
 
2.3%
5 7
 
2.0%
Hangul
ValueCountFrequency (%)
년 40
33.3%
분 40
33.3%
기 40
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
74.4%
Hangul 120
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 83
23.9%
1 73
21.0%
0 71
20.4%
9 42
12.1%
8 18
 
5.2%
3 17
 
4.9%
4 17
 
4.9%
7 12
 
3.4%
6 8
 
2.3%
5 7
 
2.0%
Hangul
ValueCountFrequency (%)
년 40
33.3%
분 40
33.3%
기 40
33.3%

보증공급
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean220267.99
Minimum1116
Maximum592107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:47.460718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1116
5-th percentile12445.6
Q163867
median247247
Q3332304
95-th percentile465808.6
Maximum592107
Range590991
Interquartile range (IQR)268437

Descriptive statistics

Standard deviation162069.51
Coefficient of variation (CV)0.73578331
Kurtosis-1.007703
Mean220267.99
Median Absolute Deviation (MAD)156137
Skewness0.24523029
Sum16960635
Variance2.6266525 × 1010
MonotonicityNot monotonic
2023-12-12T18:12:47.647364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1116 1
 
1.3%
89232 1
 
1.3%
268553 1
 
1.3%
354732 1
 
1.3%
260994 1
 
1.3%
97440 1
 
1.3%
264690 1
 
1.3%
338423 1
 
1.3%
247247 1
 
1.3%
425141 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
1116 1
1.3%
2729 1
1.3%
3689 1
1.3%
6788 1
1.3%
13860 1
1.3%
15490 1
1.3%
16491 1
1.3%
17610 1
1.3%
18416 1
1.3%
18707 1
1.3%
ValueCountFrequency (%)
592107 1
1.3%
560506 1
1.3%
553933 1
1.3%
470395 1
1.3%
464662 1
1.3%
450841 1
1.3%
430839 1
1.3%
425141 1
1.3%
424448 1
1.3%
418415 1
1.3%

보증잔액
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean313039.79
Minimum1579
Maximum613961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:47.816293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1579
5-th percentile11443.2
Q185441
median404906
Q3445113
95-th percentile592545.6
Maximum613961
Range612382
Interquartile range (IQR)359672

Descriptive statistics

Standard deviation196215.06
Coefficient of variation (CV)0.62680548
Kurtosis-1.2251268
Mean313039.79
Median Absolute Deviation (MAD)119663
Skewness-0.38423722
Sum24104064
Variance3.8500349 × 1010
MonotonicityNot monotonic
2023-12-12T18:12:47.999951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1579 1
 
1.3%
411458 1
 
1.3%
443903 1
 
1.3%
445113 1
 
1.3%
445090 1
 
1.3%
428159 1
 
1.3%
421535 1
 
1.3%
418275 1
 
1.3%
415539 1
 
1.3%
411010 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
1579 1
1.3%
2654 1
1.3%
4081 1
1.3%
7008 1
1.3%
12552 1
1.3%
13102 1
1.3%
13576 1
1.3%
15442 1
1.3%
15500 1
1.3%
18955 1
1.3%
ValueCountFrequency (%)
613961 1
1.3%
613956 1
1.3%
605162 1
1.3%
596884 1
1.3%
591461 1
1.3%
580175 1
1.3%
570384 1
1.3%
557412 1
1.3%
549536 1
1.3%
531975 1
1.3%

총사고(금액_억원)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8129.013
Minimum24
Maximum38658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:48.156911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile813
Q14080
median5022
Q312675
95-th percentile20951.2
Maximum38658
Range38634
Interquartile range (IQR)8595

Descriptive statistics

Standard deviation7000.0417
Coefficient of variation (CV)0.86111829
Kurtosis3.5199812
Mean8129.013
Median Absolute Deviation (MAD)3186
Skewness1.5841342
Sum625934
Variance49000584
MonotonicityNot monotonic
2023-12-12T18:12:48.365645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 1
 
1.3%
4460 1
 
1.3%
4267 1
 
1.3%
3869 1
 
1.3%
4261 1
 
1.3%
4285 1
 
1.3%
4646 1
 
1.3%
4865 1
 
1.3%
4700 1
 
1.3%
4497 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
24 1
1.3%
57 1
1.3%
95 1
1.3%
265 1
1.3%
950 1
1.3%
1526 1
1.3%
1570 1
1.3%
1605 1
1.3%
1686 1
1.3%
1777 1
1.3%
ValueCountFrequency (%)
38658 1
1.3%
21604 1
1.3%
21367 1
1.3%
21036 1
1.3%
20930 1
1.3%
20914 1
1.3%
20422 1
1.3%
18984 1
1.3%
17163 1
1.3%
17159 1
1.3%

총사고(부실발생률)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)63.6%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean5.5701299
Minimum1.5
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:48.554666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2.2
Q13.7
median4.6
Q36.4
95-th percentile12.74
Maximum18
Range16.5
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation3.2968512
Coefficient of variation (CV)0.59188048
Kurtosis3.4044979
Mean5.5701299
Median Absolute Deviation (MAD)1.1
Skewness1.7852248
Sum428.9
Variance10.869228
MonotonicityNot monotonic
2023-12-12T18:12:48.720611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4.8 4
 
5.1%
4.6 3
 
3.8%
2.3 3
 
3.8%
3.8 3
 
3.8%
4.4 3
 
3.8%
2.2 3
 
3.8%
5.6 3
 
3.8%
6.2 3
 
3.8%
4.0 3
 
3.8%
7.4 2
 
2.6%
Other values (39) 47
60.3%
ValueCountFrequency (%)
1.5 1
 
1.3%
1.9 1
 
1.3%
2.1 1
 
1.3%
2.2 3
3.8%
2.3 3
3.8%
2.4 1
 
1.3%
2.5 1
 
1.3%
2.7 1
 
1.3%
2.8 1
 
1.3%
3.1 1
 
1.3%
ValueCountFrequency (%)
18.0 1
1.3%
16.3 1
1.3%
14.0 1
1.3%
12.9 1
1.3%
12.7 1
1.3%
12.0 1
1.3%
11.9 1
1.3%
10.9 1
1.3%
9.9 1
1.3%
8.3 1
1.3%

순사고(금액_억원)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean6777.1299
Minimum18
Maximum31278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:48.907808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile422.6
Q13587
median4232
Q310168
95-th percentile18169.4
Maximum31278
Range31260
Interquartile range (IQR)6581

Descriptive statistics

Standard deviation6004.6129
Coefficient of variation (CV)0.88601118
Kurtosis2.5805268
Mean6777.1299
Median Absolute Deviation (MAD)3099
Skewness1.4668664
Sum521839
Variance36055376
MonotonicityNot monotonic
2023-12-12T18:12:49.086440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 1
 
1.3%
3976 1
 
1.3%
3967 1
 
1.3%
3587 1
 
1.3%
3884 1
 
1.3%
3940 1
 
1.3%
4035 1
 
1.3%
4423 1
 
1.3%
4032 1
 
1.3%
4025 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
18 1
1.3%
52 1
1.3%
55 1
1.3%
189 1
1.3%
481 1
1.3%
543 1
1.3%
664 1
1.3%
988 1
1.3%
994 1
1.3%
1003 1
1.3%
ValueCountFrequency (%)
31278 1
1.3%
18996 1
1.3%
18924 1
1.3%
18255 1
1.3%
18148 1
1.3%
18088 1
1.3%
17183 1
1.3%
17175 1
1.3%
15561 1
1.3%
15336 1
1.3%

순사고(부실순증률)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)54.5%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.2220779
Minimum1.1
Maximum14.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:49.269335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.9
Q13.2
median3.8
Q34.7
95-th percentile9.02
Maximum14.6
Range13.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.174894
Coefficient of variation (CV)0.51512409
Kurtosis6.9984614
Mean4.2220779
Median Absolute Deviation (MAD)0.9
Skewness2.1833072
Sum325.1
Variance4.730164
MonotonicityNot monotonic
2023-12-12T18:12:49.448625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3.9 5
 
6.4%
3.6 5
 
6.4%
2.0 4
 
5.1%
4.4 3
 
3.8%
3.4 3
 
3.8%
3.2 3
 
3.8%
3.3 3
 
3.8%
3.8 3
 
3.8%
3.7 2
 
2.6%
4.9 2
 
2.6%
Other values (32) 44
56.4%
ValueCountFrequency (%)
1.1 1
 
1.3%
1.4 1
 
1.3%
1.7 1
 
1.3%
1.9 2
2.6%
2.0 4
5.1%
2.2 2
2.6%
2.3 1
 
1.3%
2.4 1
 
1.3%
2.6 2
2.6%
2.7 1
 
1.3%
ValueCountFrequency (%)
14.6 1
1.3%
10.8 1
1.3%
9.1 2
2.6%
9.0 1
1.3%
7.7 1
1.3%
7.5 1
1.3%
6.4 2
2.6%
6.0 1
1.3%
5.9 1
1.3%
5.6 1
1.3%

총대위변제(금액_억원)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8642.7662
Minimum6
Maximum23505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:49.647905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile209.4
Q12984
median8207
Q313222
95-th percentile19147.8
Maximum23505
Range23499
Interquartile range (IQR)10238

Descriptive statistics

Standard deviation6316.5255
Coefficient of variation (CV)0.73084535
Kurtosis-1.0239216
Mean8642.7662
Median Absolute Deviation (MAD)5223
Skewness0.29832107
Sum665493
Variance39898495
MonotonicityNot monotonic
2023-12-12T18:12:49.839518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1
 
1.3%
3437 1
 
1.3%
15191 1
 
1.3%
11037 1
 
1.3%
7606 1
 
1.3%
3335 1
 
1.3%
17228 1
 
1.3%
12341 1
 
1.3%
8352 1
 
1.3%
15979 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
6 1
1.3%
11 1
1.3%
21 1
1.3%
79 1
1.3%
242 1
1.3%
623 1
1.3%
741 1
1.3%
790 1
1.3%
875 1
1.3%
910 1
1.3%
ValueCountFrequency (%)
23505 1
1.3%
19550 1
1.3%
19452 1
1.3%
19355 1
1.3%
19096 1
1.3%
18541 1
1.3%
18100 1
1.3%
17938 1
1.3%
17594 1
1.3%
17502 1
1.3%

총대위변제(사고율)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)55.8%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.0701299
Minimum0.4
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:50.033126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1.34
Q12.8
median4
Q34.8
95-th percentile7.8
Maximum11
Range10.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0554206
Coefficient of variation (CV)0.50500124
Kurtosis1.5341437
Mean4.0701299
Median Absolute Deviation (MAD)1
Skewness0.96537092
Sum313.4
Variance4.2247539
MonotonicityNot monotonic
2023-12-12T18:12:50.253741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4.0 5
 
6.4%
5.7 4
 
5.1%
4.2 4
 
5.1%
3.4 4
 
5.1%
3.2 4
 
5.1%
2.8 3
 
3.8%
4.1 3
 
3.8%
2.1 3
 
3.8%
0.4 2
 
2.6%
4.7 2
 
2.6%
Other values (33) 43
55.1%
ValueCountFrequency (%)
0.4 2
2.6%
0.5 1
 
1.3%
1.1 1
 
1.3%
1.4 1
 
1.3%
1.7 2
2.6%
1.9 2
2.6%
2.0 1
 
1.3%
2.1 3
3.8%
2.2 1
 
1.3%
2.3 1
 
1.3%
ValueCountFrequency (%)
11.0 1
1.3%
10.0 1
1.3%
8.9 1
1.3%
8.2 1
1.3%
7.7 1
1.3%
7.2 2
2.6%
7.0 1
1.3%
6.7 1
1.3%
6.4 1
1.3%
6.2 1
1.3%

순대위변제(금액_억원)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)98.7%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean6589.2468
Minimum6
Maximum20149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:50.429083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile200.2
Q12353
median6603
Q39939
95-th percentile14199.8
Maximum20149
Range20143
Interquartile range (IQR)7586

Descriptive statistics

Standard deviation4799.2483
Coefficient of variation (CV)0.72834552
Kurtosis-0.63605316
Mean6589.2468
Median Absolute Deviation (MAD)4000
Skewness0.38948579
Sum507372
Variance23032785
MonotonicityNot monotonic
2023-12-12T18:12:50.639152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1034 2
 
2.6%
6 1
 
1.3%
6603 1
 
1.3%
2198 1
 
1.3%
11480 1
 
1.3%
8324 1
 
1.3%
5823 1
 
1.3%
2671 1
 
1.3%
13533 1
 
1.3%
9844 1
 
1.3%
Other values (66) 66
84.6%
ValueCountFrequency (%)
6 1
1.3%
11 1
1.3%
19 1
1.3%
77 1
1.3%
231 1
1.3%
566 1
1.3%
577 1
1.3%
617 1
1.3%
671 1
1.3%
711 1
1.3%
ValueCountFrequency (%)
20149 1
1.3%
15078 1
1.3%
14670 1
1.3%
14227 1
1.3%
14193 1
1.3%
13780 1
1.3%
13669 1
1.3%
13533 1
1.3%
13396 1
1.3%
13235 1
1.3%

순대위변제(사고율)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)51.9%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3.1753247
Minimum0.4
Maximum9.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:50.829561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1.1
Q12.2
median2.9
Q33.7
95-th percentile6.42
Maximum9.4
Range9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.685164
Coefficient of variation (CV)0.53070606
Kurtosis2.7167525
Mean3.1753247
Median Absolute Deviation (MAD)0.8
Skewness1.3330862
Sum244.5
Variance2.8397779
MonotonicityNot monotonic
2023-12-12T18:12:51.319044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2.6 6
 
7.7%
3.2 6
 
7.7%
3.3 4
 
5.1%
4.0 3
 
3.8%
2.0 3
 
3.8%
3.5 3
 
3.8%
2.5 3
 
3.8%
2.8 2
 
2.6%
1.3 2
 
2.6%
1.7 2
 
2.6%
Other values (30) 43
55.1%
ValueCountFrequency (%)
0.4 2
2.6%
0.5 1
1.3%
1.1 2
2.6%
1.3 2
2.6%
1.4 2
2.6%
1.5 1
1.3%
1.6 2
2.6%
1.7 2
2.6%
1.8 1
1.3%
1.9 1
1.3%
ValueCountFrequency (%)
9.4 1
1.3%
8.4 1
1.3%
7.6 1
1.3%
6.5 1
1.3%
6.4 1
1.3%
5.7 2
2.6%
5.5 1
1.3%
5.0 1
1.3%
4.9 1
1.3%
4.8 1
1.3%

구상채권발생(금액_억원)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8642.7662
Minimum6
Maximum23505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:51.485819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile209.4
Q12984
median8207
Q313222
95-th percentile19147.8
Maximum23505
Range23499
Interquartile range (IQR)10238

Descriptive statistics

Standard deviation6316.5255
Coefficient of variation (CV)0.73084535
Kurtosis-1.0239216
Mean8642.7662
Median Absolute Deviation (MAD)5223
Skewness0.29832107
Sum665493
Variance39898495
MonotonicityNot monotonic
2023-12-12T18:12:51.648801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1
 
1.3%
3437 1
 
1.3%
15191 1
 
1.3%
11037 1
 
1.3%
7606 1
 
1.3%
3335 1
 
1.3%
17228 1
 
1.3%
12341 1
 
1.3%
8352 1
 
1.3%
15979 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
6 1
1.3%
11 1
1.3%
21 1
1.3%
79 1
1.3%
242 1
1.3%
623 1
1.3%
741 1
1.3%
790 1
1.3%
875 1
1.3%
910 1
1.3%
ValueCountFrequency (%)
23505 1
1.3%
19550 1
1.3%
19452 1
1.3%
19355 1
1.3%
19096 1
1.3%
18541 1
1.3%
18100 1
1.3%
17938 1
1.3%
17594 1
1.3%
17502 1
1.3%

구상채권(발생율)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)55.8%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4.0701299
Minimum0.4
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:51.816514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1.34
Q12.8
median4
Q34.8
95-th percentile7.8
Maximum11
Range10.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0554206
Coefficient of variation (CV)0.50500124
Kurtosis1.5341437
Mean4.0701299
Median Absolute Deviation (MAD)1
Skewness0.96537092
Sum313.4
Variance4.2247539
MonotonicityNot monotonic
2023-12-12T18:12:51.961517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4.0 5
 
6.4%
5.7 4
 
5.1%
4.2 4
 
5.1%
3.4 4
 
5.1%
3.2 4
 
5.1%
2.8 3
 
3.8%
4.1 3
 
3.8%
2.1 3
 
3.8%
0.4 2
 
2.6%
4.7 2
 
2.6%
Other values (33) 43
55.1%
ValueCountFrequency (%)
0.4 2
2.6%
0.5 1
 
1.3%
1.1 1
 
1.3%
1.4 1
 
1.3%
1.7 2
2.6%
1.9 2
2.6%
2.0 1
 
1.3%
2.1 3
3.8%
2.2 1
 
1.3%
2.3 1
 
1.3%
ValueCountFrequency (%)
11.0 1
1.3%
10.0 1
1.3%
8.9 1
1.3%
8.2 1
1.3%
7.7 1
1.3%
7.2 2
2.6%
7.0 1
1.3%
6.7 1
1.3%
6.4 1
1.3%
6.2 1
1.3%

구상채권 회수(금액_억원)
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)97.4%
Missing2
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean2241.8026
Minimum0
Maximum5940
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:52.116886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.75
Q1684
median1968
Q33681.75
95-th percentile5425.5
Maximum5940
Range5940
Interquartile range (IQR)2997.75

Descriptive statistics

Standard deviation1739.956
Coefficient of variation (CV)0.77614148
Kurtosis-0.98169451
Mean2241.8026
Median Absolute Deviation (MAD)1382.5
Skewness0.4557801
Sum170377
Variance3027446.9
MonotonicityNot monotonic
2023-12-12T18:12:52.287537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208 2
 
2.6%
2 2
 
2.6%
2023 1
 
1.3%
1858 1
 
1.3%
3903 1
 
1.3%
2856 1
 
1.3%
1877 1
 
1.3%
707 1
 
1.3%
3930 1
 
1.3%
2664 1
 
1.3%
Other values (64) 64
82.1%
(Missing) 2
 
2.6%
ValueCountFrequency (%)
0 1
1.3%
2 2
2.6%
14 1
1.3%
51 1
1.3%
208 2
2.6%
216 1
1.3%
233 1
1.3%
237 1
1.3%
239 1
1.3%
292 1
1.3%
ValueCountFrequency (%)
5940 1
1.3%
5654 1
1.3%
5619 1
1.3%
5430 1
1.3%
5424 1
1.3%
5201 1
1.3%
4940 1
1.3%
4890 1
1.3%
4564 1
1.3%
4537 1
1.3%

구상채권(회수율)
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)59.7%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.6558442
Minimum0
Maximum12.2
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:52.489387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.8
Q16.6
median7.8
Q38.6
95-th percentile10.68
Maximum12.2
Range12.2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9917919
Coefficient of variation (CV)0.26016621
Kurtosis2.838418
Mean7.6558442
Median Absolute Deviation (MAD)0.9
Skewness-0.90679956
Sum589.5
Variance3.9672351
MonotonicityNot monotonic
2023-12-12T18:12:52.709947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8.5 5
 
6.4%
7.8 5
 
6.4%
7.2 3
 
3.8%
7.5 3
 
3.8%
8.2 3
 
3.8%
8.1 3
 
3.8%
6.6 3
 
3.8%
9.1 2
 
2.6%
8.6 2
 
2.6%
9.3 2
 
2.6%
Other values (36) 46
59.0%
ValueCountFrequency (%)
0.0 1
1.3%
2.0 1
1.3%
2.9 1
1.3%
4.0 1
1.3%
5.0 2
2.6%
5.5 1
1.3%
5.6 1
1.3%
5.7 2
2.6%
5.8 1
1.3%
5.9 2
2.6%
ValueCountFrequency (%)
12.2 1
1.3%
11.6 1
1.3%
11.2 1
1.3%
11.0 1
1.3%
10.6 1
1.3%
10.4 1
1.3%
10.2 1
1.3%
9.9 1
1.3%
9.7 1
1.3%
9.6 1
1.3%

구상채권잔액
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)97.4%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean24766.649
Minimum6
Maximum44274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:52.938129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile248
Q119662
median30122
Q332444
95-th percentile41305.6
Maximum44274
Range44268
Interquartile range (IQR)12782

Descriptive statistics

Standard deviation12989.712
Coefficient of variation (CV)0.52448402
Kurtosis-0.57262516
Mean24766.649
Median Absolute Deviation (MAD)3648
Skewness-0.85859428
Sum1907032
Variance1.6873261 × 108
MonotonicityNot monotonic
2023-12-12T18:12:53.115119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30122 2
 
2.6%
31918 2
 
2.6%
6 1
 
1.3%
32444 1
 
1.3%
31013 1
 
1.3%
29680 1
 
1.3%
31621 1
 
1.3%
32646 1
 
1.3%
34777 1
 
1.3%
31125 1
 
1.3%
Other values (65) 65
83.3%
ValueCountFrequency (%)
6 1
1.3%
16 1
1.3%
35 1
1.3%
112 1
1.3%
282 1
1.3%
789 1
1.3%
1800 1
1.3%
2262 1
1.3%
2869 1
1.3%
3295 1
1.3%
ValueCountFrequency (%)
44274 1
1.3%
43971 1
1.3%
42254 1
1.3%
41804 1
1.3%
41181 1
1.3%
40314 1
1.3%
39445 1
1.3%
37022 1
1.3%
35541 1
1.3%
34839 1
1.3%

보증재원출연(정부)
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)55.8%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean2059.7273
Minimum0
Maximum28810
Zeros18
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:53.326825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median800
Q32400
95-th percentile9376
Maximum28810
Range28810
Interquartile range (IQR)2350

Descriptive statistics

Standard deviation4139.1867
Coefficient of variation (CV)2.00958
Kurtosis24.519985
Mean2059.7273
Median Absolute Deviation (MAD)800
Skewness4.4663823
Sum158599
Variance17132867
MonotonicityNot monotonic
2023-12-12T18:12:53.536714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 18
23.1%
2200 4
 
5.1%
500 4
 
5.1%
3000 2
 
2.6%
1041 2
 
2.6%
2800 2
 
2.6%
150 2
 
2.6%
9376 2
 
2.6%
3318 2
 
2.6%
860 2
 
2.6%
Other values (33) 37
47.4%
ValueCountFrequency (%)
0 18
23.1%
24 1
 
1.3%
50 1
 
1.3%
80 1
 
1.3%
83 1
 
1.3%
100 1
 
1.3%
150 2
 
2.6%
200 1
 
1.3%
220 1
 
1.3%
250 1
 
1.3%
ValueCountFrequency (%)
28810 1
1.3%
16800 1
1.3%
10011 1
1.3%
9376 2
2.6%
5210 1
1.3%
5100 1
1.3%
5060 1
1.3%
4000 1
1.3%
3500 2
2.6%
3318 2
2.6%

보증재원출연(은행)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean4498.5195
Minimum141
Maximum11863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:53.743481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile268.2
Q12102
median4184
Q36940
95-th percentile10221.6
Maximum11863
Range11722
Interquartile range (IQR)4838

Descriptive statistics

Standard deviation3214.7125
Coefficient of variation (CV)0.71461567
Kurtosis-0.93272098
Mean4498.5195
Median Absolute Deviation (MAD)2599
Skewness0.45037909
Sum346386
Variance10334377
MonotonicityNot monotonic
2023-12-12T18:12:53.947695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330 1
 
1.3%
2306 1
 
1.3%
9051 1
 
1.3%
6828 1
 
1.3%
4536 1
 
1.3%
2200 1
 
1.3%
8954 1
 
1.3%
6749 1
 
1.3%
4583 1
 
1.3%
8576 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
141 1
1.3%
177 1
1.3%
208 1
1.3%
237 1
1.3%
276 1
1.3%
330 1
1.3%
422 1
1.3%
543 1
1.3%
638 1
1.3%
778 1
1.3%
ValueCountFrequency (%)
11863 1
1.3%
11087 1
1.3%
10419 1
1.3%
10224 1
1.3%
10221 1
1.3%
9561 1
1.3%
9051 1
1.3%
8954 1
1.3%
8864 1
1.3%
8805 1
1.3%

보증재원출연(기타)
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)45.5%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean29.974026
Minimum0
Maximum409
Zeros34
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:54.139253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q332
95-th percentile117.4
Maximum409
Range409
Interquartile range (IQR)32

Descriptive statistics

Standard deviation59.293865
Coefficient of variation (CV)1.9781749
Kurtosis22.23235
Mean29.974026
Median Absolute Deviation (MAD)6
Skewness4.112897
Sum2308
Variance3515.7625
MonotonicityNot monotonic
2023-12-12T18:12:54.314890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 34
43.6%
26 3
 
3.8%
34 2
 
2.6%
90 2
 
2.6%
17 2
 
2.6%
19 2
 
2.6%
2 2
 
2.6%
70 2
 
2.6%
69 2
 
2.6%
36 1
 
1.3%
Other values (25) 25
32.1%
ValueCountFrequency (%)
0 34
43.6%
2 2
 
2.6%
3 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
7 1
 
1.3%
11 1
 
1.3%
12 1
 
1.3%
13 1
 
1.3%
14 1
 
1.3%
ValueCountFrequency (%)
409 1
1.3%
193 1
1.3%
170 1
1.3%
139 1
1.3%
112 1
1.3%
96 1
1.3%
90 2
2.6%
83 1
1.3%
70 2
2.6%
69 2
2.6%

보증재원출연(계)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)98.7%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean6542.7662
Minimum141
Maximum32325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:54.531707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile268.2
Q12306
median6022
Q38645
95-th percentile14620.4
Maximum32325
Range32184
Interquartile range (IQR)6339

Descriptive statistics

Standard deviation5771.5812
Coefficient of variation (CV)0.88213166
Kurtosis6.6683534
Mean6542.7662
Median Absolute Deviation (MAD)3450
Skewness2.061013
Sum503793
Variance33311150
MonotonicityNot monotonic
2023-12-12T18:12:54.719155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2115 2
 
2.6%
354 1
 
1.3%
4611 1
 
1.3%
2433 1
 
1.3%
10128 1
 
1.3%
7894 1
 
1.3%
4558 1
 
1.3%
2202 1
 
1.3%
10610 1
 
1.3%
8383 1
 
1.3%
Other values (66) 66
84.6%
ValueCountFrequency (%)
141 1
1.3%
177 1
1.3%
208 1
1.3%
237 1
1.3%
276 1
1.3%
354 1
1.3%
422 1
1.3%
788 1
1.3%
793 1
1.3%
861 1
1.3%
ValueCountFrequency (%)
32325 1
1.3%
28775 1
1.3%
19965 1
1.3%
17450 1
1.3%
13913 1
1.3%
12940 1
1.3%
12614 1
1.3%
10940 1
1.3%
10633 1
1.3%
10610 1
1.3%

기본재산
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean32775.247
Minimum427
Maximum71351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:54.909890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum427
5-th percentile1122.4
Q16805
median43431
Q346402
95-th percentile63384
Maximum71351
Range70924
Interquartile range (IQR)39597

Descriptive statistics

Standard deviation21324.411
Coefficient of variation (CV)0.6506255
Kurtosis-1.2387622
Mean32775.247
Median Absolute Deviation (MAD)15596
Skewness-0.26901641
Sum2523694
Variance4.5473052 × 108
MonotonicityNot monotonic
2023-12-12T18:12:55.082752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
427 1
 
1.3%
44062 1
 
1.3%
43852 1
 
1.3%
44080 1
 
1.3%
42699 1
 
1.3%
42593 1
 
1.3%
42871 1
 
1.3%
44790 1
 
1.3%
44309 1
 
1.3%
43503 1
 
1.3%
Other values (67) 67
85.9%
ValueCountFrequency (%)
427 1
1.3%
610 1
1.3%
836 1
1.3%
1120 1
1.3%
1123 1
1.3%
1346 1
1.3%
1376 1
1.3%
1616 1
1.3%
1989 1
1.3%
2552 1
1.3%
ValueCountFrequency (%)
71351 1
1.3%
69428 1
1.3%
67756 1
1.3%
64904 1
1.3%
63004 1
1.3%
61606 1
1.3%
59690 1
1.3%
58486 1
1.3%
55580 1
1.3%
54859 1
1.3%

보증운용배수
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)62.3%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean9.6402597
Minimum3.7
Maximum16.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T18:12:55.276147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile6.62
Q18.4
median9.4
Q310.4
95-th percentile14.2
Maximum16.9
Range13.2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3451102
Coefficient of variation (CV)0.24326214
Kurtosis1.8162542
Mean9.6402597
Median Absolute Deviation (MAD)1
Skewness0.65203775
Sum742.3
Variance5.499542
MonotonicityNot monotonic
2023-12-12T18:12:55.491197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
9.4 5
 
6.4%
9.3 4
 
5.1%
10.4 4
 
5.1%
10.1 4
 
5.1%
9.6 3
 
3.8%
9.7 3
 
3.8%
9.2 3
 
3.8%
7.2 2
 
2.6%
13.4 2
 
2.6%
12.4 2
 
2.6%
Other values (38) 45
57.7%
ValueCountFrequency (%)
3.7 1
1.3%
4.4 1
1.3%
4.9 1
1.3%
6.3 1
1.3%
6.7 1
1.3%
6.9 1
1.3%
7.0 1
1.3%
7.2 2
2.6%
7.4 1
1.3%
7.5 2
2.6%
ValueCountFrequency (%)
16.9 1
1.3%
16.1 1
1.3%
15.5 1
1.3%
15.0 1
1.3%
14.0 1
1.3%
13.4 2
2.6%
12.4 2
2.6%
12.1 1
1.3%
11.8 1
1.3%
11.4 1
1.3%

Sample

구분보증공급보증잔액총사고(금액_억원)총사고(부실발생률)순사고(금액_억원)순사고(부실순증률)총대위변제(금액_억원)총대위변제(사고율)순대위변제(금액_억원)순대위변제(사고율)구상채권발생(금액_억원)구상채권(발생율)구상채권 회수(금액_억원)구상채권(회수율)구상채권잔액보증재원출연(정부)보증재원출연(은행)보증재원출연(기타)보증재원출연(계)기본재산보증운용배수
0197611161579241.5181.160.460.460.4<NA>0.062433003544273.7
1197727292654572.2522.0110.4110.4110.402.916014101416104.4
2197836894081952.3551.4210.5190.5210.525.035017701778364.9
31979678870082653.81892.7791.1771.1791.122.01120237023711206.3
4198017610125529507.64813.82421.92311.82421.9144.02820208020813469.3
51981184161544215269.99886.46234.05773.76234.0515.678902760276137611.2
619821549013576221016.310117.512088.910347.612088.920810.4180004220422112312.1
719831386013102183614.010037.77415.75664.37415.72088.22262250543079316168.1
819841649115500168610.96644.39105.97164.69105.92337.42869150638078819897.8
91985187071895515708.35432.97904.26173.37904.22165.9329583778086125527.4
구분보증공급보증잔액총사고(금액_억원)총사고(부실발생률)순사고(금액_억원)순사고(부실순증률)총대위변제(금액_억원)총대위변제(사고율)순대위변제(금액_억원)순대위변제(사고율)구상채권발생(금액_억원)구상채권(발생율)구상채권 회수(금액_억원)구상채권(회수율)구상채권잔액보증재원출연(정부)보증재원출연(은행)보증재원출연(기타)보증재원출연(계)기본재산보증운용배수
682020년4분기553933549536146502.7133402.4135942.5106311.9135942.531387.227905937610419170199655485910.0
692021년1분기11568655741233672.530582.229142.123531.729142.15976.1301922200240904609584869.5
702021년2분기29791657038468842.461552.263122.249091.763122.214967.42593922005069907359596909.6
712021년3분기43083958017598072.386692.089522.167741.689522.123187.82778822007627909917616069.4
722021년4분기560506591461130302.2116042.0121112.088311.5121112.034628.72543922001022119312614630049.4
732022년1분기12488159688428401.925051.721271.415531.121271.46157.326946344250802852649049.2
742022년2분기31835260516265202.258021.951851.737821.351851.714978.42301727695258268053677568.9
752022년3분기46466261395696782.186291.980301.761361.380301.720237.525354280081142610940694288.8
762022년4분기592107613961139912.3125562.0115091.988121.4115091.928647.8233612800110872613913713518.6
77<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>