Overview

Dataset statistics

Number of variables29
Number of observations500
Missing cells1000
Missing cells (%)6.9%
Duplicate rows28
Duplicate rows (%)5.6%
Total size in memory116.8 KiB
Average record size in memory239.3 B

Variable types

Numeric3
Categorical23
Unsupported2
Text1

Dataset

Description해당 파일 데이터는 신용보증기금의 보증 상담 신용보증 상세정보를 확인하실 수 있는 자료이니 데이터 활용에 참고하여 주시기 바랍니다.
Author신용보증기금
URLhttps://www.data.go.kr/data/15093199/fileData.do

Alerts

지식기반구분코드 has constant value ""Constant
지식기반상세코드 has constant value ""Constant
구조조정할인특례대상기업코드 has constant value ""Constant
사이버보증가능금액 has constant value ""Constant
원화외화구분코드 has constant value ""Constant
적용환율구분코드 has constant value ""Constant
마켓플레이스코드 has constant value ""Constant
Dataset has 28 (5.6%) duplicate rowsDuplicates
주채무과목코드 is highly imbalanced (57.7%)Imbalance
소관정부자금소관부처코드 is highly imbalanced (97.4%)Imbalance
자금소관부처코드 is highly imbalanced (97.4%)Imbalance
중소기업지원사업명 is highly imbalanced (59.4%)Imbalance
정책자금집행기관명 is highly imbalanced (59.4%)Imbalance
기보증포함운용여부 is highly imbalanced (90.8%)Imbalance
지급보증상대처구분코드 is highly imbalanced (88.2%)Imbalance
담보취득조건코드 is highly imbalanced (93.9%)Imbalance
주채무인수구분코드 is highly imbalanced (88.2%)Imbalance
접수금액변경분류코드 is highly imbalanced (85.6%)Imbalance
추천부점코드 is highly imbalanced (96.3%)Imbalance
추천상대부점코드 is highly imbalanced (96.3%)Imbalance
사이버보증통보번호 has 500 (100.0%) missing valuesMissing
주채무미확정신청기한명 has 500 (100.0%) missing valuesMissing
사이버보증통보번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주채무미확정신청기한명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
순보증사용년수 has 289 (57.8%) zerosZeros

Reproduction

Analysis started2023-12-12 23:51:31.596098
Analysis finished2023-12-12 23:51:31.982043
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이력일련번호
Real number (ℝ)

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.72
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T08:51:32.028192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1935028
Coefficient of variation (CV)0.69389697
Kurtosis15.273961
Mean1.72
Median Absolute Deviation (MAD)0
Skewness3.0250936
Sum860
Variance1.4244489
MonotonicityNot monotonic
2023-12-13T08:51:32.136967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 302
60.4%
2 96
 
19.2%
3 72
 
14.4%
4 19
 
3.8%
5 6
 
1.2%
10 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
6 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
1 302
60.4%
2 96
 
19.2%
3 72
 
14.4%
4 19
 
3.8%
5 6
 
1.2%
6 1
 
0.2%
8 1
 
0.2%
9 1
 
0.2%
10 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
10 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
6 1
 
0.2%
5 6
 
1.2%
4 19
 
3.8%
3 72
 
14.4%
2 96
 
19.2%
1 302
60.4%

주채무과목코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
348 
1
136 
9
 
7
D3
 
3
81
 
3

Length

Max length2
Median length1
Mean length1.018
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
348
69.6%
1 136
 
27.2%
9 7
 
1.4%
D3 3
 
0.6%
81 3
 
0.6%
68 3
 
0.6%

Length

2023-12-13T08:51:32.251351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:32.377431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 136
89.5%
9 7
 
4.6%
d3 3
 
2.0%
81 3
 
2.0%
68 3
 
2.0%

지식기반구분코드
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

2023-12-13T08:51:32.499178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:32.593946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

지식기반상세코드
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

2023-12-13T08:51:32.696064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:32.796190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

구조조정할인특례대상기업코드
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

2023-12-13T08:51:32.909473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:32.989729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

사이버보증통보번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing500
Missing (%)100.0%
Memory size4.5 KiB

사이버보증가능금액
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

2023-12-13T08:51:33.073819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:33.175730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

정책자금여부
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
361 
N
137 
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
361
72.2%
N 137
 
27.4%
Y 2
 
0.4%

Length

2023-12-13T08:51:33.267690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:33.364585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 137
98.6%
y 2
 
1.4%

소관정부자금소관부처코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
498 
99
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.002
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
498
99.6%
99 1
 
0.2%
2 1
 
0.2%

Length

2023-12-13T08:51:33.464263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:33.554398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 1
50.0%
2 1
50.0%

자금소관부처코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
498 
99
 
1
89
 
1

Length

Max length2
Median length1
Mean length1.004
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
498
99.6%
99 1
 
0.2%
89 1
 
0.2%

Length

2023-12-13T08:51:33.654961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:33.754910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 1
50.0%
89 1
50.0%

중소기업지원사업명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
385 
<NA>
113 
중소기업 지원자금
 
1
경영안정 지원자금 융자추천
 
1

Length

Max length14
Median length1
Mean length1.72
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row
3rd row
4th row
5th row<NA>

Common Values

ValueCountFrequency (%)
385
77.0%
<NA> 113
 
22.6%
중소기업 지원자금 1
 
0.2%
경영안정 지원자금 융자추천 1
 
0.2%

Length

2023-12-13T08:51:33.849023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:33.950795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
95.8%
지원자금 2
 
1.7%
중소기업 1
 
0.8%
경영안정 1
 
0.8%
융자추천 1
 
0.8%

정책자금집행기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
385 
<NA>
113 
한국은행 강원본부
 
1
제주특별자치도 경제통상진흥원
 
1

Length

Max length15
Median length1
Mean length1.722
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row
3rd row
4th row
5th row<NA>

Common Values

ValueCountFrequency (%)
385
77.0%
<NA> 113
 
22.6%
한국은행 강원본부 1
 
0.2%
제주특별자치도 경제통상진흥원 1
 
0.2%

Length

2023-12-13T08:51:34.056967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:34.175616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
96.6%
한국은행 1
 
0.9%
강원본부 1
 
0.9%
제주특별자치도 1
 
0.9%
경제통상진흥원 1
 
0.9%

주채무미확정신청기한명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing500
Missing (%)100.0%
Memory size4.5 KiB

순보증사용년수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.802
Minimum0
Maximum24
Zeros289
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T08:51:34.274586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile12
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7858756
Coefficient of variation (CV)1.7080213
Kurtosis4.5683384
Mean2.802
Median Absolute Deviation (MAD)0
Skewness2.137593
Sum1401
Variance22.904605
MonotonicityNot monotonic
2023-12-13T08:51:34.382197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 289
57.8%
1 31
 
6.2%
3 25
 
5.0%
4 22
 
4.4%
6 21
 
4.2%
2 18
 
3.6%
5 13
 
2.6%
10 12
 
2.4%
9 10
 
2.0%
12 9
 
1.8%
Other values (13) 50
 
10.0%
ValueCountFrequency (%)
0 289
57.8%
1 31
 
6.2%
2 18
 
3.6%
3 25
 
5.0%
4 22
 
4.4%
5 13
 
2.6%
6 21
 
4.2%
7 9
 
1.8%
8 9
 
1.8%
9 10
 
2.0%
ValueCountFrequency (%)
24 2
0.4%
23 1
 
0.2%
22 2
0.4%
21 3
0.6%
20 2
0.4%
18 2
0.4%
17 4
0.8%
16 4
0.8%
14 1
 
0.2%
13 3
0.6%

기보증포함운용여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
491 
Y
 
6
N
 
3

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 (%)
491
98.2%
Y 6
 
1.2%
N 3
 
0.6%

Length

2023-12-13T08:51:34.488456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:34.569554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 6
66.7%
n 3
33.3%

원화외화구분코드
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

2023-12-13T08:51:34.658603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:34.774758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

적용환율구분코드
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

2023-12-13T08:51:34.865618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:34.942284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

보증서형태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
346 
122 
2
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 346
69.2%
122
 
24.4%
2 32
 
6.4%

Length

2023-12-13T08:51:35.031636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:35.115804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 346
91.5%
2 32
 
8.5%

지급보증상대처구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
492 
1
 
8

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 (%)
492
98.4%
1 8
 
1.6%

Length

2023-12-13T08:51:35.501605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:35.593415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8
100.0%

담보취득조건코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
493 
2
 
5
1
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
493
98.6%
2 5
 
1.0%
1 1
 
0.2%
4 1
 
0.2%

Length

2023-12-13T08:51:35.681678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:35.766790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5
71.4%
1 1
 
14.3%
4 1
 
14.3%

주채무인수구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
492 
2
 
8

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 (%)
492
98.4%
2 8
 
1.6%

Length

2023-12-13T08:51:35.856175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:35.951451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8
100.0%

마켓플레이스코드
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

2023-12-13T08:51:36.032369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:36.113291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

접수금액변경분류코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
481 
1
 
10
2
 
5
3
 
4

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 (%)
481
96.2%
1 10
 
2.0%
2 5
 
1.0%
3 4
 
0.8%

Length

2023-12-13T08:51:36.192288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:36.276074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10
52.6%
2 5
26.3%
3 4
 
21.1%

추천부점코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
497 
THA
 
2
QAC
 
1

Length

Max length3
Median length1
Mean length1.012
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
497
99.4%
THA 2
 
0.4%
QAC 1
 
0.2%

Length

2023-12-13T08:51:36.396081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:36.489627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tha 2
66.7%
qac 1
33.3%

추천상대부점코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
497 
THA
 
2
QAC
 
1

Length

Max length3
Median length1
Mean length1.012
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
497
99.4%
THA 2
 
0.4%
QAC 1
 
0.2%

Length

2023-12-13T08:51:36.588686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:36.692404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tha 2
66.7%
qac 1
33.3%

규제애로사항여부
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
N
272 
228 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 272
54.4%
228
45.6%

Length

2023-12-13T08:51:36.781327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:36.879093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 272
100.0%

보험가입의사코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
234 
4
106 
3
87 
2
69 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row3
3rd row2
4th row
5th row

Common Values

ValueCountFrequency (%)
234
46.8%
4 106
21.2%
3 87
 
17.4%
2 69
 
13.8%
1 4
 
0.8%

Length

2023-12-13T08:51:36.966197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:51:37.048105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 106
39.8%
3 87
32.7%
2 69
25.9%
1 4
 
1.5%

최종수정수
Real number (ℝ)

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.808
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T08:51:37.131717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5646188
Coefficient of variation (CV)0.55720044
Kurtosis4.583211
Mean2.808
Median Absolute Deviation (MAD)1
Skewness1.5502707
Sum1404
Variance2.4480321
MonotonicityNot monotonic
2023-12-13T08:51:37.231044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 164
32.8%
1 109
21.8%
2 106
21.2%
4 70
14.0%
5 28
 
5.6%
6 11
 
2.2%
7 3
 
0.6%
10 3
 
0.6%
9 3
 
0.6%
8 2
 
0.4%
ValueCountFrequency (%)
1 109
21.8%
2 106
21.2%
3 164
32.8%
4 70
14.0%
5 28
 
5.6%
6 11
 
2.2%
7 3
 
0.6%
8 2
 
0.4%
9 3
 
0.6%
10 3
 
0.6%
ValueCountFrequency (%)
11 1
 
0.2%
10 3
 
0.6%
9 3
 
0.6%
8 2
 
0.4%
7 3
 
0.6%
6 11
 
2.2%
5 28
 
5.6%
4 70
14.0%
3 164
32.8%
2 106
21.2%

처리직원번호
Text

Distinct232
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T08:51:37.543322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.026
Min length4

Characters and Unicode

Total characters2013
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

Unique127 ?
Unique (%)25.4%

Sample

1st row2962
2nd row5237
3rd row4736
4th row6070
5th row6070
ValueCountFrequency (%)
3938 14
 
2.8%
4088 10
 
2.0%
4530 10
 
2.0%
4384 9
 
1.8%
9c798 9
 
1.8%
4015 8
 
1.6%
5143 8
 
1.6%
4041 8
 
1.6%
3740 8
 
1.6%
5170 7
 
1.4%
Other values (222) 409
81.8%
2023-12-13T08:51:37.987620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 310
15.4%
5 288
14.3%
3 260
12.9%
0 210
10.4%
6 174
8.6%
1 170
8.4%
9 155
7.7%
7 153
7.6%
8 146
7.3%
2 134
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
99.4%
Uppercase Letter 13
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 310
15.5%
5 288
14.4%
3 260
13.0%
0 210
10.5%
6 174
8.7%
1 170
8.5%
9 155
7.8%
7 153
7.6%
8 146
7.3%
2 134
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
99.4%
Latin 13
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
4 310
15.5%
5 288
14.4%
3 260
13.0%
0 210
10.5%
6 174
8.7%
1 170
8.5%
9 155
7.8%
7 153
7.6%
8 146
7.3%
2 134
6.7%
Latin
ValueCountFrequency (%)
C 13
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 310
15.4%
5 288
14.3%
3 260
12.9%
0 210
10.4%
6 174
8.6%
1 170
8.4%
9 155
7.7%
7 153
7.6%
8 146
7.3%
2 134
6.7%

Sample

이력일련번호주채무과목코드지식기반구분코드지식기반상세코드구조조정할인특례대상기업코드사이버보증통보번호사이버보증가능금액정책자금여부소관정부자금소관부처코드자금소관부처코드중소기업지원사업명정책자금집행기관명주채무미확정신청기한명순보증사용년수기보증포함운용여부원화외화구분코드적용환율구분코드보증서형태코드지급보증상대처구분코드담보취득조건코드주채무인수구분코드마켓플레이스코드접수금액변경분류코드추천부점코드추천상대부점코드규제애로사항여부보험가입의사코드최종수정수처리직원번호
01<NA>0<NA><NA><NA>0112962
111<NA>0N<NA>1811N345237
21<NA>0<NA>011N234736
311<NA>0N<NA>91126070
42<NA>0<NA><NA><NA>0116070
51<NA>0<NA>1Y1N433906
61<NA>0<NA><NA><NA>0114186
71<NA>0<NA><NA><NA>0115472
81<NA>0<NA>0111N333938
91<NA>0<NA>311N333938
이력일련번호주채무과목코드지식기반구분코드지식기반상세코드구조조정할인특례대상기업코드사이버보증통보번호사이버보증가능금액정책자금여부소관정부자금소관부처코드자금소관부처코드중소기업지원사업명정책자금집행기관명주채무미확정신청기한명순보증사용년수기보증포함운용여부원화외화구분코드적용환율구분코드보증서형태코드지급보증상대처구분코드담보취득조건코드주채무인수구분코드마켓플레이스코드접수금액변경분류코드추천부점코드추천상대부점코드규제애로사항여부보험가입의사코드최종수정수처리직원번호
4903<NA>0<NA>01124191
4911<NA>0<NA>011N345599
4921<NA>0<NA>1111N235413
4931<NA>0<NA>111N433607
4942<NA>0<NA><NA><NA>0114191
4951<NA>0<NA>011N444109
49611<NA>0N<NA>011N434598
4973<NA>0<NA>01124129
4983<NA>0<NA>71124015
4991<NA>0<NA>011N355064

Duplicate rows

Most frequently occurring

이력일련번호주채무과목코드지식기반구분코드지식기반상세코드구조조정할인특례대상기업코드사이버보증가능금액정책자금여부소관정부자금소관부처코드자금소관부처코드중소기업지원사업명정책자금집행기관명순보증사용년수기보증포함운용여부원화외화구분코드적용환율구분코드보증서형태코드지급보증상대처구분코드담보취득조건코드주채무인수구분코드마켓플레이스코드접수금액변경분류코드추천부점코드추천상대부점코드규제애로사항여부보험가입의사코드최종수정수처리직원번호# duplicates
1020<NA><NA>01139384
110011N3450163
9110N61239C7983
1320<NA><NA>01140883
1420<NA><NA>01143843
1520<NA><NA>01151433
1920<NA><NA>01160703
2020<NA><NA>0119C7983
2130011239383
23301011240883