Overview

Dataset statistics

Number of variables18
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.9 KiB
Average record size in memory151.3 B

Variable types

Numeric1
Categorical10
Text1
Boolean6

Dataset

Description해당 파일 데이터는 신용보증기금의 공통전자문서관리서식코드에 대한 정보를 확인하실 수 있는 자료이니 데이터 활용에 참고하여 주시기 바랍니다.
Author신용보증기금
URLhttps://www.data.go.kr/data/15093150/fileData.do

Alerts

서식코드버전값 has constant value ""Constant
색상코드 has constant value ""Constant
내부서식여부 is highly overall correlated with 서식코드 and 6 other fieldsHigh correlation
오즈여부 is highly overall correlated with 서식코드 and 6 other fieldsHigh correlation
처리직원번호 is highly overall correlated with 서식코드 and 5 other fieldsHigh correlation
외부서식여부 is highly overall correlated with 서식코드 and 6 other fieldsHigh correlation
제2전자문서업무구분코드 is highly overall correlated with 서식코드 and 4 other fieldsHigh correlation
출력여부 is highly overall correlated with 서식코드 and 6 other fieldsHigh correlation
서식코드 is highly overall correlated with 제2전자문서업무구분코드 and 5 other fieldsHigh correlation
단면양면구분코드 is highly overall correlated with 장수값 and 1 other fieldsHigh correlation
장수값 is highly overall correlated with 단면양면구분코드 and 6 other fieldsHigh correlation
제조여부 is highly overall correlated with 단면양면구분코드 and 2 other fieldsHigh correlation
중요서식여부 is highly overall correlated with 장수값High correlation
이력일련번호 is highly imbalanced (85.1%)Imbalance
문서크기값 is highly imbalanced (97.4%)Imbalance
단면양면구분코드 is highly imbalanced (93.3%)Imbalance
장수값 is highly imbalanced (55.2%)Imbalance
제조여부 is highly imbalanced (96.2%)Imbalance
종횡구분코드 is highly imbalanced (89.4%)Imbalance
중요서식여부 is highly imbalanced (96.2%)Imbalance
최종수정수 is highly imbalanced (74.3%)Imbalance

Reproduction

Analysis started2023-12-12 16:24:02.992948
Analysis finished2023-12-12 16:24:04.537008
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서식코드
Real number (ℝ)

HIGH CORRELATION 

Distinct484
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172048.63
Minimum110001
Maximum320016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:24:04.616864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110001
5-th percentile110311.95
Q1110411.75
median210625.5
Q3220709.25
95-th percentile230302
Maximum320016
Range210015
Interquartile range (IQR)110297.5

Descriptive statistics

Standard deviation57016.579
Coefficient of variation (CV)0.33139804
Kurtosis-1.3923317
Mean172048.63
Median Absolute Deviation (MAD)19675.5
Skewness0.039145941
Sum86024314
Variance3.2508903 × 109
MonotonicityNot monotonic
2023-12-13T01:24:04.755171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230307 3
 
0.6%
230301 3
 
0.6%
230300 3
 
0.6%
230305 3
 
0.6%
230303 3
 
0.6%
230302 3
 
0.6%
230304 3
 
0.6%
230306 3
 
0.6%
110350 1
 
0.2%
110343 1
 
0.2%
Other values (474) 474
94.8%
ValueCountFrequency (%)
110001 1
0.2%
110288 1
0.2%
110289 1
0.2%
110290 1
0.2%
110291 1
0.2%
110292 1
0.2%
110293 1
0.2%
110294 1
0.2%
110295 1
0.2%
110296 1
0.2%
ValueCountFrequency (%)
320016 1
 
0.2%
320015 1
 
0.2%
320014 1
 
0.2%
320013 1
 
0.2%
320012 1
 
0.2%
320011 1
 
0.2%
320010 1
 
0.2%
310027 1
 
0.2%
230307 3
0.6%
230306 3
0.6%

서식코드버전값
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

2023-12-13T01:24:04.870600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:04.952968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

이력일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
484 
3
 
8
2
 
8

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 (%)
1 484
96.8%
3 8
 
1.6%
2 8
 
1.6%

Length

2023-12-13T01:24:05.038645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:05.121109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 484
96.8%
3 8
 
1.6%
2 8
 
1.6%

제2전자문서업무구분코드
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
222 
1
129 
3
84 
2
45 
6
 
8
Other values (5)
 
12

Length

Max length2
Median length1
Mean length1.016
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row1
2nd row6
3rd row6
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 222
44.4%
1 129
25.8%
3 84
 
16.8%
2 45
 
9.0%
6 8
 
1.6%
12 5
 
1.0%
4 3
 
0.6%
13 2
 
0.4%
ZZ 1
 
0.2%
5 1
 
0.2%

Length

2023-12-13T01:24:05.224007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:05.328379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 222
44.4%
1 129
25.8%
3 84
 
16.8%
2 45
 
9.0%
6 8
 
1.6%
12 5
 
1.0%
4 3
 
0.6%
13 2
 
0.4%
zz 1
 
0.2%
5 1
 
0.2%

서식명
Text

Distinct486
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T01:24:05.579288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length13.118
Min length2

Characters and Unicode

Total characters6559
Distinct characters317
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)95.0%

Sample

1st row팩토링이용기업등록심사서
2nd row기술역량평가사전협의요청서
3rd row기술역량평가사전협의요청서
4th row팩토링접수
5th row팩토링송금계좌등록(변경)
ValueCountFrequency (%)
매출채권보험 24
 
2.7%
활용 21
 
2.4%
및 19
 
2.1%
동의서 14
 
1.6%
정보 13
 
1.5%
고객 9
 
1.0%
고객정보 9
 
1.0%
사업계획서 9
 
1.0%
어음보험 7
 
0.8%
신청서 7
 
0.8%
Other values (593) 761
85.2%
2023-12-13T01:24:05.972979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
400
 
6.1%
서 335
 
5.1%
보 276
 
4.2%
용 174
 
2.7%
( 138
 
2.1%
) 137
 
2.1%
정 130
 
2.0%
사 129
 
2.0%
증 128
 
2.0%
신 127
 
1.9%
Other values (307) 4585
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5583
85.1%
Space Separator 400
 
6.1%
Open Punctuation 144
 
2.2%
Close Punctuation 143
 
2.2%
Lowercase Letter 121
 
1.8%
Uppercase Letter 69
 
1.1%
Other Punctuation 47
 
0.7%
Decimal Number 28
 
0.4%
Dash Punctuation 15
 
0.2%
Math Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 335
 
6.0%
보 276
 
4.9%
용 174
 
3.1%
정 130
 
2.3%
사 129
 
2.3%
증 128
 
2.3%
신 127
 
2.3%
험 108
 
1.9%
업 103
 
1.8%
자 102
 
1.8%
Other values (258) 3971
71.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
16.5%
t 16
13.2%
i 15
12.4%
u 13
10.7%
r 12
9.9%
l 10
8.3%
s 9
7.4%
n 8
 
6.6%
d 7
 
5.8%
p 4
 
3.3%
Other values (4) 7
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 12
17.4%
L 8
11.6%
P 8
11.6%
B 7
10.1%
A 6
8.7%
S 6
8.7%
M 5
7.2%
O 3
 
4.3%
T 3
 
4.3%
I 3
 
4.3%
Other values (4) 8
11.6%
Decimal Number
ValueCountFrequency (%)
3 11
39.3%
0 6
21.4%
2 5
17.9%
4 3
 
10.7%
1 2
 
7.1%
5 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 22
46.8%
· 8
 
17.0%
, 6
 
12.8%
& 6
 
12.8%
. 5
 
10.6%
Open Punctuation
ValueCountFrequency (%)
( 138
95.8%
[ 5
 
3.5%
「 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 137
95.8%
] 5
 
3.5%
」 1
 
0.7%
Space Separator
ValueCountFrequency (%)
400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5583
85.1%
Common 786
 
12.0%
Latin 190
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 335
 
6.0%
보 276
 
4.9%
용 174
 
3.1%
정 130
 
2.3%
사 129
 
2.3%
증 128
 
2.3%
신 127
 
2.3%
험 108
 
1.9%
업 103
 
1.8%
자 102
 
1.8%
Other values (258) 3971
71.1%
Latin
ValueCountFrequency (%)
e 20
 
10.5%
t 16
 
8.4%
i 15
 
7.9%
u 13
 
6.8%
r 12
 
6.3%
C 12
 
6.3%
l 10
 
5.3%
s 9
 
4.7%
L 8
 
4.2%
P 8
 
4.2%
Other values (18) 67
35.3%
Common
ValueCountFrequency (%)
400
50.9%
( 138
 
17.6%
) 137
 
17.4%
/ 22
 
2.8%
- 15
 
1.9%
3 11
 
1.4%
+ 8
 
1.0%
· 8
 
1.0%
, 6
 
0.8%
& 6
 
0.8%
Other values (11) 35
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5576
85.0%
ASCII 966
 
14.7%
None 10
 
0.2%
Compat Jamo 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
400
41.4%
( 138
 
14.3%
) 137
 
14.2%
/ 22
 
2.3%
e 20
 
2.1%
t 16
 
1.7%
i 15
 
1.6%
- 15
 
1.6%
u 13
 
1.3%
r 12
 
1.2%
Other values (36) 178
18.4%
Hangul
ValueCountFrequency (%)
서 335
 
6.0%
보 276
 
4.9%
용 174
 
3.1%
정 130
 
2.3%
사 129
 
2.3%
증 128
 
2.3%
신 127
 
2.3%
험 108
 
1.9%
업 103
 
1.8%
자 102
 
1.8%
Other values (257) 3964
71.1%
None
ValueCountFrequency (%)
· 8
80.0%
「 1
 
10.0%
」 1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%

문서크기값
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
A4
498 
A5
 
1
A3
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st rowA4
2nd rowA4
3rd rowA4
4th rowA4
5th rowA4

Common Values

ValueCountFrequency (%)
A4 498
99.6%
A5 1
 
0.2%
A3 1
 
0.2%

Length

2023-12-13T01:24:06.102753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:06.194242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a4 498
99.6%
a5 1
 
0.2%
a3 1
 
0.2%

단면양면구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
496 
2
 
4

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 (%)
1 496
99.2%
2 4
 
0.8%

Length

2023-12-13T01:24:06.301281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:06.399121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 496
99.2%
2 4
 
0.8%

외부서식여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
299 
True
201 
ValueCountFrequency (%)
False 299
59.8%
True 201
40.2%
2023-12-13T01:24:06.481467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

내부서식여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
297 
False
203 
ValueCountFrequency (%)
True 297
59.4%
False 203
40.6%
2023-12-13T01:24:06.570765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장수값
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
N
370 
1
125 
2
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
N 370
74.0%
1 125
 
25.0%
2 4
 
0.8%
3 1
 
0.2%

Length

2023-12-13T01:24:06.662925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:06.767221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 370
74.0%
1 125
 
25.0%
2 4
 
0.8%
3 1
 
0.2%

제조여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
498 
True
 
2
ValueCountFrequency (%)
False 498
99.6%
True 2
 
0.4%
2023-12-13T01:24:06.864228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

출력여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
282 
False
218 
ValueCountFrequency (%)
True 282
56.4%
False 218
43.6%
2023-12-13T01:24:06.960343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

오즈여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
289 
False
211 
ValueCountFrequency (%)
True 289
57.8%
False 211
42.2%
2023-12-13T01:24:07.055341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

색상코드
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

2023-12-13T01:24:07.152124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:07.234148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

종횡구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
493 
2
 
7

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 (%)
1 493
98.6%
2 7
 
1.4%

Length

2023-12-13T01:24:07.329970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:07.422915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 493
98.6%
2 7
 
1.4%

중요서식여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
498 
True
 
2
ValueCountFrequency (%)
False 498
99.6%
True 2
 
0.4%
2023-12-13T01:24:07.497081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최종수정수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
467 
2
 
24
3
 
9

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 (%)
1 467
93.4%
2 24
 
4.8%
3 9
 
1.8%

Length

2023-12-13T01:24:07.576306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:07.652056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 467
93.4%
2 24
 
4.8%
3 9
 
1.8%

처리직원번호
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
BATCH
214 
4920
68 
5093
56 
5536
54 
4970
54 
Other values (4)
54 

Length

Max length5
Median length4
Mean length4.428
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5536
2nd row5536
3rd row5536
4th row5536
5th row5536

Common Values

ValueCountFrequency (%)
BATCH 214
42.8%
4920 68
 
13.6%
5093 56
 
11.2%
5536 54
 
10.8%
4970 54
 
10.8%
3513 19
 
3.8%
5222 19
 
3.8%
5176 9
 
1.8%
4917 7
 
1.4%

Length

2023-12-13T01:24:07.735438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:07.829984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
batch 214
42.8%
4920 68
 
13.6%
5093 56
 
11.2%
5536 54
 
10.8%
4970 54
 
10.8%
3513 19
 
3.8%
5222 19
 
3.8%
5176 9
 
1.8%
4917 7
 
1.4%

Interactions

2023-12-13T01:24:04.145065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:24:07.915819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서식코드이력일련번호제2전자문서업무구분코드문서크기값단면양면구분코드외부서식여부내부서식여부장수값제조여부출력여부오즈여부종횡구분코드중요서식여부최종수정수처리직원번호
서식코드1.0000.2111.0000.0000.1870.9910.9890.6840.1030.9970.9920.1640.1030.2260.747
이력일련번호0.2111.0000.3900.0000.0000.0820.0820.0000.0000.0890.0860.0000.0000.7410.631
제2전자문서업무구분코드1.0000.3901.0000.0000.0950.9910.9890.4900.0000.9970.9920.0000.0000.3990.733
문서크기값0.0000.0000.0001.0000.0000.0110.0100.0000.0000.0210.0090.2270.0000.0000.000
단면양면구분코드0.1870.0000.0950.0001.0000.0380.0400.8920.7360.0000.0000.0000.2580.0350.419
외부서식여부0.9910.0820.9910.0110.0381.0001.0000.7680.0000.9940.9970.1870.0000.1260.908
내부서식여부0.9890.0820.9890.0100.0401.0001.0000.7810.0000.9950.9980.1850.0000.1070.900
장수값0.6840.0000.4900.0000.8920.7680.7811.0000.8930.8200.7940.1540.8950.1340.587
제조여부0.1030.0000.0000.0000.7360.0000.0000.8931.0000.0000.0000.0000.0000.0000.519
출력여부0.9970.0890.9970.0210.0000.9940.9950.8200.0001.0000.9990.1710.0000.1160.949
오즈여부0.9920.0860.9920.0090.0000.9970.9980.7940.0000.9991.0000.1780.0000.1120.917
종횡구분코드0.1640.0000.0000.2270.0000.1870.1850.1540.0000.1710.1781.0000.0000.0000.055
중요서식여부0.1030.0000.0000.0000.2580.0000.0000.8950.0000.0000.0000.0001.0000.0710.295
최종수정수0.2260.7410.3990.0000.0350.1260.1070.1340.0000.1160.1120.0000.0711.0000.543
처리직원번호0.7470.6310.7330.0000.4190.9080.9000.5870.5190.9490.9170.0550.2950.5431.000
2023-12-13T01:24:08.295479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단면양면구분코드종횡구분코드내부서식여부오즈여부문서크기값제조여부중요서식여부처리직원번호외부서식여부장수값제2전자문서업무구분코드출력여부최종수정수이력일련번호
단면양면구분코드1.0000.0000.0250.0000.0000.5260.1660.4160.0240.7010.0720.0000.0570.000
종횡구분코드0.0001.0000.1190.1140.3710.0000.0000.0540.1200.1020.0000.1100.0000.000
내부서식여부0.0250.1191.0000.9550.0170.0000.0000.9320.9880.5720.9000.9360.1770.136
오즈여부0.0000.1140.9551.0000.0140.0000.0000.9500.9470.5850.9150.9680.1850.142
문서크기값0.0000.3710.0170.0141.0000.0000.0000.0000.0180.0000.0000.0340.0000.000
제조여부0.5260.0000.0000.0000.0001.0000.0000.5170.0000.7020.0000.0000.0000.000
중요서식여부0.1660.0000.0000.0000.0000.0001.0000.2930.0000.7050.0000.0000.1180.000
처리직원번호0.4160.0540.9320.9500.0000.5170.2931.0000.9400.4170.4460.9790.2820.348
외부서식여부0.0240.1200.9880.9470.0180.0000.0000.9401.0000.5580.9090.9280.2090.135
장수값0.7010.1020.5720.5850.0000.7020.7050.4170.5581.0000.3130.6130.1260.000
제2전자문서업무구분코드0.0720.0000.9000.9150.0000.0000.0000.4460.9090.3131.0000.9430.2600.253
출력여부0.0000.1100.9360.9680.0340.0000.0000.9790.9280.6130.9431.0000.1920.147
최종수정수0.0570.0000.1770.1850.0000.0000.1180.2820.2090.1260.2600.1921.0000.398
이력일련번호0.0000.0000.1360.1420.0000.0000.0000.3480.1350.0000.2530.1470.3981.000
2023-12-13T01:24:08.412362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서식코드이력일련번호제2전자문서업무구분코드문서크기값단면양면구분코드외부서식여부내부서식여부장수값제조여부출력여부오즈여부종횡구분코드중요서식여부최종수정수처리직원번호
서식코드1.0000.2010.9940.0000.1240.9110.9030.3290.0680.9450.9170.1080.0680.2150.588
이력일련번호0.2011.0000.2530.0000.0000.1350.1360.0000.0000.1470.1420.0000.0000.3980.348
제2전자문서업무구분코드0.9940.2531.0000.0000.0720.9090.9000.3130.0000.9430.9150.0000.0000.2600.446
문서크기값0.0000.0000.0001.0000.0000.0180.0170.0000.0000.0340.0140.3710.0000.0000.000
단면양면구분코드0.1240.0000.0720.0001.0000.0240.0250.7010.5260.0000.0000.0000.1660.0570.416
외부서식여부0.9110.1350.9090.0180.0241.0000.9880.5580.0000.9280.9470.1200.0000.2090.940
내부서식여부0.9030.1360.9000.0170.0250.9881.0000.5720.0000.9360.9550.1190.0000.1770.932
장수값0.3290.0000.3130.0000.7010.5580.5721.0000.7020.6130.5850.1020.7050.1260.417
제조여부0.0680.0000.0000.0000.5260.0000.0000.7021.0000.0000.0000.0000.0000.0000.517
출력여부0.9450.1470.9430.0340.0000.9280.9360.6130.0001.0000.9680.1100.0000.1920.979
오즈여부0.9170.1420.9150.0140.0000.9470.9550.5850.0000.9681.0000.1140.0000.1850.950
종횡구분코드0.1080.0000.0000.3710.0000.1200.1190.1020.0000.1100.1141.0000.0000.0000.054
중요서식여부0.0680.0000.0000.0000.1660.0000.0000.7050.0000.0000.0000.0001.0000.1180.293
최종수정수0.2150.3980.2600.0000.0570.2090.1770.1260.0000.1920.1850.0000.1181.0000.282
처리직원번호0.5880.3480.4460.0000.4160.9400.9320.4170.5170.9790.9500.0540.2930.2821.000

Missing values

2023-12-13T01:24:04.277364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:24:04.459445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

서식코드서식코드버전값이력일련번호제2전자문서업무구분코드서식명문서크기값단면양면구분코드외부서식여부내부서식여부장수값제조여부출력여부오즈여부색상코드종횡구분코드중요서식여부최종수정수처리직원번호
0210735111팩토링이용기업등록심사서A41NYNNYY11N15536
1210734116기술역량평가사전협의요청서A41NYNNYY11N15536
2210733116기술역량평가사전협의요청서A41NYNNYY11N15536
3210732111팩토링접수A41NYNNYY11N15536
4113745110팩토링송금계좌등록(변경)A41NYNNYY11N15536
5220739112신용회복지원채무재조정심사서(통합)A41NYNNYY11N15536
6210731116기업가치평가A41NYNNYY11N15536
7210730116보증심사등급산출A41NYNNYY11N15536
8210729116성장역량평가A41NYNNYY11N15536
9210728116미래경영평점산출표A41NYNNYY11N15536
서식코드서식코드버전값이력일련번호제2전자문서업무구분코드서식명문서크기값단면양면구분코드외부서식여부내부서식여부장수값제조여부출력여부오즈여부색상코드종횡구분코드중요서식여부최종수정수처리직원번호
490110491110종합고객정보조회표A41YNNNNN11N1BATCH
491110492110주계약서(입찰유의서)A41YNNNNN11N1BATCH
492110493110주계약서사본(이행보증)A41YNNNNN11N1BATCH
493110494110주권A41YN1NNN11N1BATCH
494110495110주권미발행확인서A41YN1NNN11N1BATCH
495110496110주민등록등본A41YNNNNN11N1BATCH
496110497110주민등록초본A41YNNNNN11N1BATCH
497110498110주소보정명령A41YN1NNN11N1BATCH
498110499110주소보정서A41YN1NNN11N1BATCH
499110500110주식등변동상황명세서A41YNNNNY11N1BATCH