Overview

Dataset statistics

Number of variables23
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory93.4 KiB
Average record size in memory191.3 B

Variable types

Categorical13
Numeric2
Boolean5
DateTime1
Text2

Dataset

Description해당 파일 데이터는 신용보증기금의 보증심사 감액검토표 정보를 확인하실 수 있는 자료이니 데이터 활용에 참고하여 주시기 바랍니다.
Author신용보증기금
URLhttps://www.data.go.kr/data/15093269/fileData.do

Alerts

업무구분코드 has constant value ""Constant
당초보증금액통화코드 has constant value ""Constant
금차보증금액통화코드 has constant value ""Constant
감액비율 has constant value ""Constant
감액비율충족여부 has constant value ""Constant
분할상환전환여부 has constant value ""Constant
질권설정여부 has constant value ""Constant
상환계획제출여부 has constant value ""Constant
기한6개월이내운용여부 has constant value ""Constant
검토일자 has constant value ""Constant
감액충족여부 has constant value ""Constant
기존해지적립차감통화별금액 has constant value ""Constant
관련구원장적립차감통화별금액 has constant value ""Constant
가산보증료율적용여부 has constant value ""Constant
감액비율계산금액통화동일여부 has constant value ""Constant
감액비율계산방법선택구분코드 has constant value ""Constant
삭제여부 has constant value ""Constant
최종수정수 has constant value ""Constant
심사서ID is highly imbalanced (93.3%)Imbalance

Reproduction

Analysis started2023-12-12 21:45:55.232472
Analysis finished2023-12-12 21:45:55.484092
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
G
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
G 500
100.0%

Length

2023-12-13T06:45:55.542528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:55.628005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 500
100.0%

심사서ID
Categorical

IMBALANCE 

Distinct13
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
488 
9dnS1CW8lp
 
1
9dnUdOEOu1
 
1
9dnUdsIkj0
 
1
9dnUcpxfDx
 
1
Other values (8)
 
8

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique12 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
488
97.6%
9dnS1CW8lp 1
 
0.2%
9dnUdOEOu1 1
 
0.2%
9dnUdsIkj0 1
 
0.2%
9dnUcpxfDx 1
 
0.2%
9dnUcetLLT 1
 
0.2%
9dnS5Tg5cg 1
 
0.2%
9dnAC6C7XA 1
 
0.2%
9dnOppOXzT 1
 
0.2%
9dnUb92T9K 1
 
0.2%
Other values (3) 3
 
0.6%

Length

2023-12-13T06:45:55.740691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9dns1cw8lp 1
8.3%
9dnudoeou1 1
8.3%
9dnudsikj0 1
8.3%
9dnucpxfdx 1
8.3%
9dnucetllt 1
8.3%
9dns5tg5cg 1
8.3%
9dnac6c7xa 1
8.3%
9dnoppoxzt 1
8.3%
9dnub92t9k 1
8.3%
9dnoemmpxd 1
8.3%
Other values (2) 2
16.7%

당초보증금액통화코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
KRW
500 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KRW 500
100.0%

Length

2023-12-13T06:45:55.866933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:55.959632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krw 500
100.0%

당초보증통화별금액
Real number (ℝ)

Distinct246
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.449862 × 108
Minimum4800000
Maximum1.48 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T06:45:56.068975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4800000
5-th percentile16142500
Q150000000
median85500000
Q31.9 × 108
95-th percentile4.5125 × 108
Maximum1.48 × 109
Range1.4752 × 109
Interquartile range (IQR)1.4 × 108

Descriptive statistics

Standard deviation1.7529255 × 108
Coefficient of variation (CV)1.2090292
Kurtosis16.733745
Mean1.449862 × 108
Median Absolute Deviation (MAD)49225000
Skewness3.39412
Sum7.2493102 × 1010
Variance3.0727479 × 1016
MonotonicityNot monotonic
2023-12-13T06:45:56.205468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 49
 
9.8%
90000000 21
 
4.2%
285000000 15
 
3.0%
190000000 11
 
2.2%
85000000 11
 
2.2%
100000000 10
 
2.0%
95000000 9
 
1.8%
297000000 9
 
1.8%
180000000 7
 
1.4%
243000000 6
 
1.2%
Other values (236) 352
70.4%
ValueCountFrequency (%)
4800000 1
0.2%
5000000 1
0.2%
5100000 1
0.2%
7533000 1
0.2%
7650000 2
0.4%
8500000 1
0.2%
8800000 1
0.2%
9350000 1
0.2%
9600000 1
0.2%
10000000 2
0.4%
ValueCountFrequency (%)
1480000000 1
0.2%
1440000000 1
0.2%
1134000000 1
0.2%
990000000 1
0.2%
900000000 1
0.2%
807500000 1
0.2%
782000000 1
0.2%
739500000 1
0.2%
731000000 1
0.2%
720000000 2
0.4%

금차보증금액통화코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
KRW
500 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KRW 500
100.0%

Length

2023-12-13T06:45:56.339288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:56.469996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krw 500
100.0%

금차보증통화별금액
Real number (ℝ)

Distinct254
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4292302 × 108
Minimum4800000
Maximum1.48 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T06:45:56.575654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4800000
5-th percentile15969250
Q149668750
median85000000
Q31.8775 × 108
95-th percentile4.45725 × 108
Maximum1.48 × 109
Range1.4752 × 109
Interquartile range (IQR)1.3808125 × 108

Descriptive statistics

Standard deviation1.7262362 × 108
Coefficient of variation (CV)1.2078083
Kurtosis17.482079
Mean1.4292302 × 108
Median Absolute Deviation (MAD)48525000
Skewness3.4422495
Sum7.1461512 × 1010
Variance2.9798914 × 1016
MonotonicityNot monotonic
2023-12-13T06:45:56.847543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 49
 
9.8%
90000000 21
 
4.2%
285000000 15
 
3.0%
85000000 10
 
2.0%
100000000 10
 
2.0%
190000000 10
 
2.0%
95000000 8
 
1.6%
297000000 8
 
1.6%
180000000 7
 
1.4%
127500000 6
 
1.2%
Other values (244) 356
71.2%
ValueCountFrequency (%)
4800000 1
 
0.2%
5000000 1
 
0.2%
5100000 1
 
0.2%
7410000 1
 
0.2%
7533000 1
 
0.2%
7650000 3
0.6%
8000000 1
 
0.2%
8500000 1
 
0.2%
8800000 1
 
0.2%
9350000 1
 
0.2%
ValueCountFrequency (%)
1480000000 1
 
0.2%
1440000000 1
 
0.2%
1134000000 1
 
0.2%
990000000 1
 
0.2%
782000000 1
 
0.2%
765000000 1
 
0.2%
739500000 1
 
0.2%
731000000 1
 
0.2%
720000000 3
0.6%
700000000 1
 
0.2%

감액비율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 500
100.0%

Length

2023-12-13T06:45:56.973219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:57.360425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

감액비율충족여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
500 
ValueCountFrequency (%)
True 500
100.0%
2023-12-13T06:45:57.437462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

분할상환전환여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-13T06:45:57.512526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

질권설정여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
500
100.0%

Length

2023-12-13T06:45:57.628633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:57.740444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

상환계획제출여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
500
100.0%

Length

2023-12-13T06:45:57.862496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:57.975857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

기한6개월이내운용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
500
100.0%

Length

2023-12-13T06:45:58.101091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:58.217296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

검토일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2023-12-13T06:45:58.305323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:45:58.427666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

감액충족여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
500 
ValueCountFrequency (%)
True 500
100.0%
2023-12-13T06:45:58.537661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기존해지적립차감통화별금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 500
100.0%

Length

2023-12-13T06:45:58.633250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:58.747195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

관련구원장적립차감통화별금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 500
100.0%

Length

2023-12-13T06:45:58.852850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:58.961603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

가산보증료율적용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
500
100.0%

Length

2023-12-13T06:45:59.074038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:59.162108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

감액비율계산금액통화동일여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
500 
ValueCountFrequency (%)
True 500
100.0%
2023-12-13T06:45:59.237525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

감액비율계산방법선택구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 500
100.0%

Length

2023-12-13T06:45:59.349747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:59.460504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-13T06:45:59.541166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최종수정수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 500
100.0%

Length

2023-12-13T06:45:59.647090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:59.732691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

처리시각
Text

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T06:46:00.102254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters3500
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique482 ?
Unique (%)96.4%

Sample

1st row49:37.0
2nd row49:28.5
3rd row49:10.3
4th row48:37.4
5th row48:32.4
ValueCountFrequency (%)
16:20.3 3
 
0.6%
14:56.3 3
 
0.6%
21:36.9 2
 
0.4%
03:20.6 2
 
0.4%
06:57.9 2
 
0.4%
04:04.1 2
 
0.4%
21:19.5 2
 
0.4%
04:40.7 2
 
0.4%
14:02.3 1
 
0.2%
14:37.6 1
 
0.2%
Other values (480) 480
96.0%
2023-12-13T06:46:00.706223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 500
14.3%
. 500
14.3%
1 390
11.1%
2 362
10.3%
0 337
9.6%
3 300
8.6%
4 288
8.2%
5 236
6.7%
6 162
 
4.6%
7 142
 
4.1%
Other values (2) 283
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2500
71.4%
Other Punctuation 1000
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 390
15.6%
2 362
14.5%
0 337
13.5%
3 300
12.0%
4 288
11.5%
5 236
9.4%
6 162
6.5%
7 142
 
5.7%
8 142
 
5.7%
9 141
 
5.6%
Other Punctuation
ValueCountFrequency (%)
: 500
50.0%
. 500
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3500
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
: 500
14.3%
. 500
14.3%
1 390
11.1%
2 362
10.3%
0 337
9.6%
3 300
8.6%
4 288
8.2%
5 236
6.7%
6 162
 
4.6%
7 142
 
4.1%
Other values (2) 283
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 500
14.3%
. 500
14.3%
1 390
11.1%
2 362
10.3%
0 337
9.6%
3 300
8.6%
4 288
8.2%
5 236
6.7%
6 162
 
4.6%
7 142
 
4.1%
Other values (2) 283
8.1%

처리직원번호
Text

Distinct335
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T06:46:01.116237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.17
Min length4

Characters and Unicode

Total characters2085
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)42.6%

Sample

1st row9C683
2nd row5382
3rd row6020
4th row9C640
5th row4498
ValueCountFrequency (%)
4498 6
 
1.2%
4841 6
 
1.2%
5931 4
 
0.8%
5348 4
 
0.8%
5456 4
 
0.8%
6179 4
 
0.8%
5877 4
 
0.8%
6171 4
 
0.8%
9c667 4
 
0.8%
9c635 4
 
0.8%
Other values (325) 456
91.2%
2023-12-13T06:46:01.628892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 295
14.1%
6 282
13.5%
4 253
12.1%
9 215
10.3%
0 189
9.1%
7 178
8.5%
3 171
8.2%
1 170
8.2%
8 146
7.0%
2 101
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
95.9%
Uppercase Letter 85
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 295
14.8%
6 282
14.1%
4 253
12.7%
9 215
10.8%
0 189
9.4%
7 178
8.9%
3 171
8.6%
1 170
8.5%
8 146
7.3%
2 101
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
95.9%
Latin 85
 
4.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 295
14.8%
6 282
14.1%
4 253
12.7%
9 215
10.8%
0 189
9.4%
7 178
8.9%
3 171
8.6%
1 170
8.5%
8 146
7.3%
2 101
 
5.1%
Latin
ValueCountFrequency (%)
C 85
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 295
14.1%
6 282
13.5%
4 253
12.1%
9 215
10.3%
0 189
9.1%
7 178
8.5%
3 171
8.2%
1 170
8.2%
8 146
7.0%
2 101
 
4.8%

Sample

업무구분코드심사서ID당초보증금액통화코드당초보증통화별금액금차보증금액통화코드금차보증통화별금액감액비율감액비율충족여부분할상환전환여부질권설정여부상환계획제출여부기한6개월이내운용여부검토일자감액충족여부기존해지적립차감통화별금액관련구원장적립차감통화별금액가산보증료율적용여부감액비율계산금액통화동일여부감액비율계산방법선택구분코드삭제여부최종수정수처리시각처리직원번호
0GKRW127500000KRW1275000000YN00:00.0Y00Y1N149:37.09C683
1GKRW283050000KRW2830500000YN00:00.0Y00Y1N149:28.55382
2GKRW88000000KRW880000000YN00:00.0Y00Y1N149:10.36020
3GKRW285000000KRW2850000000YN00:00.0Y00Y1N148:37.49C640
4GKRW230000000KRW2300000000YN00:00.0Y00Y1N148:32.44498
5GKRW80000000KRW700000000YN00:00.0Y00Y1N148:31.09C778
6GKRW16150000KRW76500000YN00:00.0Y00Y1N148:20.59C744
7GKRW425000000KRW4250000000YN00:00.0Y00Y1N148:19.95877
8GKRW102000000KRW892500000YN00:00.0Y00Y1N148:09.55965
9G9dnS1CW8lpKRW368800000KRW3688000000YN00:00.0Y00Y1N148:06.04175
업무구분코드심사서ID당초보증금액통화코드당초보증통화별금액금차보증금액통화코드금차보증통화별금액감액비율감액비율충족여부분할상환전환여부질권설정여부상환계획제출여부기한6개월이내운용여부검토일자감액충족여부기존해지적립차감통화별금액관련구원장적립차감통화별금액가산보증료율적용여부감액비율계산금액통화동일여부감액비율계산방법선택구분코드삭제여부최종수정수처리시각처리직원번호
490GKRW32000000KRW320000000YN00:00.0Y00Y1N103:14.45620
491GKRW35200000KRW352000000YN00:00.0Y00Y1N103:06.05216
492GKRW540000000KRW5400000000YN00:00.0Y00Y1N103:04.36166
493GKRW190000000KRW1900000000YN00:00.0Y00Y1N103:00.56027
494GKRW20655000KRW206550000YN00:00.0Y00Y1N103:00.04290
495GKRW81000000KRW810000000YN00:00.0Y00Y1N102:55.54913
496GKRW14400000KRW144000000YN00:00.0Y00Y1N102:55.25620
497G9dnOx0q1xmKRW33250000KRW297500000YN00:00.0Y00Y1N102:48.85851
498GKRW297000000KRW2970000000YN00:00.0Y00Y1N102:47.19C700
499GKRW990000000KRW9900000000YN00:00.0Y00Y1N102:40.05325