Overview

Dataset statistics

Number of variables23
Number of observations500
Missing cells293
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.9 KiB
Average record size in memory188.3 B

Variable types

Categorical12
Numeric2
Text3
Boolean6

Dataset

Description해당 파일 데이터는 신용보증기금의 보증심사 감액특기사항 정보를 확인하실 수 있는 자료이니 데이터 활용에 참고하여 주시기 바랍니다.
Author신용보증기금
URLhttps://www.data.go.kr/data/15093271/fileData.do

Alerts

업무구분코드 has constant value ""Constant
매출금액증가비율 has constant value ""Constant
최근K-Score평점등급코드 has constant value ""Constant
최근SESS등급코드 has constant value ""Constant
최근평가일자 has constant value ""Constant
최근이전신용등급코드 has constant value ""Constant
최근이전평가일자 has constant value ""Constant
삭제여부 has constant value ""Constant
심사서ID is highly imbalanced (82.5%)Imbalance
보증제한업종여부 is highly imbalanced (97.9%)Imbalance
보증취급유의업종여부 is highly imbalanced (97.9%)Imbalance
본건장기분할해지보증여부 is highly imbalanced (91.9%)Imbalance
장기분할해지전환충족여부 is highly imbalanced (97.9%)Imbalance
최종수정수 is highly imbalanced (91.2%)Imbalance
조사서ID has 293 (58.6%) missing valuesMissing
전기매출금액 has 358 (71.6%) zerosZeros
당기매출금액 has 368 (73.6%) zerosZeros

Reproduction

Analysis started2023-12-12 05:58:28.041643
Analysis finished2023-12-12 05:58:28.446352
Duration0.4 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

2023-12-12T14:58:28.511542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:28.602276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 500
100.0%

심사서ID
Categorical

IMBALANCE 

Distinct45
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
453 
9dlOW5R6u9
 
2
9dnS2AXpwl
 
2
9dnOruIoUc
 
2
9dnSUg7FZi
 
1
Other values (40)
 
40

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique41 ?
Unique (%)8.2%

Sample

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

Common Values

ValueCountFrequency (%)
453
90.6%
9dlOW5R6u9 2
 
0.4%
9dnS2AXpwl 2
 
0.4%
9dnOruIoUc 2
 
0.4%
9dnSUg7FZi 1
 
0.2%
9dnUdsIkj0 1
 
0.2%
9dnUcpxfDx 1
 
0.2%
9dnUcetLLT 1
 
0.2%
9dnS5Tg5cg 1
 
0.2%
9dnAC6C7XA 1
 
0.2%
Other values (35) 35
 
7.0%

Length

2023-12-12T14:58:28.695179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9dlow5r6u9 2
 
4.3%
9dnoruiouc 2
 
4.3%
9dns2axpwl 2
 
4.3%
9dns4m1dnw 1
 
2.1%
9dns9ifd7k 1
 
2.1%
9dns1cw8lp 1
 
2.1%
9dntcedf3d 1
 
2.1%
9dns606ssc 1
 
2.1%
9dns9hhzjg 1
 
2.1%
9dns6bvwra 1
 
2.1%
Other values (34) 34
72.3%

전기매출금액
Real number (ℝ)

ZEROS 

Distinct127
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2092.734
Minimum0
Maximum101412
Zeros358
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T14:58:28.873543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3421.75
95-th percentile12224
Maximum101412
Range101412
Interquartile range (IQR)421.75

Descriptive statistics

Standard deviation7082.2102
Coefficient of variation (CV)3.3841904
Kurtosis87.103343
Mean2092.734
Median Absolute Deviation (MAD)0
Skewness7.7709769
Sum1046367
Variance50157702
MonotonicityNot monotonic
2023-12-12T14:58:29.038471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 358
71.6%
18393 3
 
0.6%
2174 3
 
0.6%
4838 2
 
0.4%
506 2
 
0.4%
16941 2
 
0.4%
386 2
 
0.4%
8277 2
 
0.4%
177 2
 
0.4%
1254 2
 
0.4%
Other values (117) 122
 
24.4%
ValueCountFrequency (%)
0 358
71.6%
19 1
 
0.2%
61 1
 
0.2%
101 1
 
0.2%
144 1
 
0.2%
155 1
 
0.2%
177 2
 
0.4%
178 1
 
0.2%
180 1
 
0.2%
218 1
 
0.2%
ValueCountFrequency (%)
101412 1
0.2%
48186 1
0.2%
47032 1
0.2%
44133 1
0.2%
31612 1
0.2%
30711 1
0.2%
23263 1
0.2%
22996 1
0.2%
21571 1
0.2%
18670 1
0.2%

당기매출금액
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2565.7
Minimum0
Maximum304562
Zeros368
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T14:58:29.178904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3245
95-th percentile11806.8
Maximum304562
Range304562
Interquartile range (IQR)245

Descriptive statistics

Standard deviation15199.169
Coefficient of variation (CV)5.9239853
Kurtosis317.58276
Mean2565.7
Median Absolute Deviation (MAD)0
Skewness16.550918
Sum1282850
Variance2.3101474 × 108
MonotonicityNot monotonic
2023-12-12T14:58:29.620342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 368
73.6%
2042 4
 
0.8%
23100 3
 
0.6%
14389 2
 
0.4%
832 2
 
0.4%
509 2
 
0.4%
37 2
 
0.4%
8859 2
 
0.4%
7377 2
 
0.4%
8036 2
 
0.4%
Other values (105) 111
 
22.2%
ValueCountFrequency (%)
0 368
73.6%
16 1
 
0.2%
37 2
 
0.4%
213 1
 
0.2%
225 2
 
0.4%
233 1
 
0.2%
281 1
 
0.2%
326 1
 
0.2%
372 1
 
0.2%
394 1
 
0.2%
ValueCountFrequency (%)
304562 1
0.2%
104902 1
0.2%
45964 1
0.2%
36446 1
0.2%
34028 1
0.2%
28256 1
0.2%
25460 1
0.2%
25231 1
0.2%
24241 1
0.2%
24089 1
0.2%

매출금액증가비율
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

2023-12-12T14:58:29.778127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:29.890898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

신용등급구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
293 
1
111 
4
76 
5
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
293
58.6%
1 111
 
22.2%
4 76
 
15.2%
5 20
 
4.0%

Length

2023-12-12T14:58:29.977486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:30.086305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 111
53.6%
4 76
36.7%
5 20
 
9.7%

최근신용등급코드
Categorical

Distinct17
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
310 
7
36 
9
 
24
AAAA
 
23
8
 
21
Other values (12)
86 

Length

Max length4
Median length1
Mean length1.232
Min length1

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row5
2nd row6
3rd row7
4th row6
5th row11

Common Values

ValueCountFrequency (%)
310
62.0%
7 36
 
7.2%
9 24
 
4.8%
AAAA 23
 
4.6%
8 21
 
4.2%
6 18
 
3.6%
10 18
 
3.6%
11 12
 
2.4%
5 11
 
2.2%
12 8
 
1.6%
Other values (7) 19
 
3.8%

Length

2023-12-12T14:58:30.215570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7 36
18.9%
9 24
12.6%
aaaa 23
12.1%
8 21
11.1%
6 18
9.5%
10 18
9.5%
11 12
 
6.3%
5 11
 
5.8%
12 8
 
4.2%
14 5
 
2.6%
Other values (6) 14
 
7.4%

최근K-Score평점등급코드
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

2023-12-12T14:58:30.327876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:30.424783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

최근SESS등급코드
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

2023-12-12T14:58:30.527678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:30.624890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

조사서ID
Text

MISSING 

Distinct185
Distinct (%)89.4%
Missing293
Missing (%)58.6%
Memory size4.0 KiB
2023-12-12T14:58:30.888662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2070
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)79.7%

Sample

1st row9cXKKb0ldb
2nd row9djY8mfSmF
3rd row9djryf89mv
4th row9cStWw4T14
5th row9cniEr2Y60
ValueCountFrequency (%)
9djy5x5viw 3
 
1.4%
9djryf89mv 3
 
1.4%
9djmk5jsbj 2
 
1.0%
9de9ge7zbr 2
 
1.0%
9de3pmnvn5 2
 
1.0%
9djot203tk 2
 
1.0%
9djxezvxcf 2
 
1.0%
9deywnfvqq 2
 
1.0%
9cwejtytst 2
 
1.0%
9c152bypim 2
 
1.0%
Other values (175) 185
89.4%
2023-12-12T14:58:31.314711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 235
 
11.4%
d 138
 
6.7%
c 87
 
4.2%
j 73
 
3.5%
l 55
 
2.7%
b 45
 
2.2%
5 43
 
2.1%
e 42
 
2.0%
y 39
 
1.9%
N 35
 
1.7%
Other values (52) 1278
61.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 966
46.7%
Uppercase Letter 628
30.3%
Decimal Number 476
23.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 138
 
14.3%
c 87
 
9.0%
j 73
 
7.6%
l 55
 
5.7%
b 45
 
4.7%
e 42
 
4.3%
y 39
 
4.0%
k 33
 
3.4%
h 33
 
3.4%
m 32
 
3.3%
Other values (16) 389
40.3%
Uppercase Letter
ValueCountFrequency (%)
N 35
 
5.6%
E 32
 
5.1%
W 32
 
5.1%
B 30
 
4.8%
S 30
 
4.8%
V 28
 
4.5%
X 27
 
4.3%
F 26
 
4.1%
K 26
 
4.1%
R 26
 
4.1%
Other values (16) 336
53.5%
Decimal Number
ValueCountFrequency (%)
9 235
49.4%
5 43
 
9.0%
2 33
 
6.9%
0 29
 
6.1%
1 27
 
5.7%
6 25
 
5.3%
7 24
 
5.0%
3 21
 
4.4%
4 20
 
4.2%
8 19
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1594
77.0%
Common 476
 
23.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 138
 
8.7%
c 87
 
5.5%
j 73
 
4.6%
l 55
 
3.5%
b 45
 
2.8%
e 42
 
2.6%
y 39
 
2.4%
N 35
 
2.2%
k 33
 
2.1%
h 33
 
2.1%
Other values (42) 1014
63.6%
Common
ValueCountFrequency (%)
9 235
49.4%
5 43
 
9.0%
2 33
 
6.9%
0 29
 
6.1%
1 27
 
5.7%
6 25
 
5.3%
7 24
 
5.0%
3 21
 
4.4%
4 20
 
4.2%
8 19
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 235
 
11.4%
d 138
 
6.7%
c 87
 
4.2%
j 73
 
3.5%
l 55
 
2.7%
b 45
 
2.2%
5 43
 
2.1%
e 42
 
2.0%
y 39
 
1.9%
N 35
 
1.7%
Other values (52) 1278
61.7%

최근평가일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0001-01-01 00:00:00.000000
500 

Length

Max length26
Median length26
Mean length26
Min length26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0001-01-01 00:00:00.000000
2nd row0001-01-01 00:00:00.000000
3rd row0001-01-01 00:00:00.000000
4th row0001-01-01 00:00:00.000000
5th row0001-01-01 00:00:00.000000

Common Values

ValueCountFrequency (%)
0001-01-01 00:00:00.000000 500
100.0%

Length

2023-12-12T14:58:31.486256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:31.579421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0001-01-01 500
50.0%
00:00:00.000000 500
50.0%

최근이전신용등급코드
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

2023-12-12T14:58:31.697621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:31.783224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

최근이전평가일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0001-01-01 00:00:00.000000
500 

Length

Max length26
Median length26
Mean length26
Min length26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0001-01-01 00:00:00.000000
2nd row0001-01-01 00:00:00.000000
3rd row0001-01-01 00:00:00.000000
4th row0001-01-01 00:00:00.000000
5th row0001-01-01 00:00:00.000000

Common Values

ValueCountFrequency (%)
0001-01-01 00:00:00.000000 500
100.0%

Length

2023-12-12T14:58:31.873235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:31.965322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0001-01-01 500
50.0%
00:00:00.000000 500
50.0%

연대입보기준저촉여부
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
N
396 
104 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 396
79.2%
104
 
20.8%

Length

2023-12-12T14:58:32.085258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:32.178220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 396
100.0%

보증제한업종여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
499 
True
 
1
ValueCountFrequency (%)
False 499
99.8%
True 1
 
0.2%
2023-12-12T14:58:32.253637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보증취급유의업종여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
499 
True
 
1
ValueCountFrequency (%)
False 499
99.8%
True 1
 
0.2%
2023-12-12T14:58:32.333325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장기분할해지전환대상자금여부
Boolean

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
407 
False
93 
ValueCountFrequency (%)
True 407
81.4%
False 93
 
18.6%
2023-12-12T14:58:32.439994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

본건장기분할해지보증여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
495 
True
 
5
ValueCountFrequency (%)
False 495
99.0%
True 5
 
1.0%
2023-12-12T14:58:32.548033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장기분할해지전환충족여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
True
499 
False
 
1
ValueCountFrequency (%)
True 499
99.8%
False 1
 
0.2%
2023-12-12T14:58:32.640216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
False
500 
ValueCountFrequency (%)
False 500
100.0%
2023-12-12T14:58:32.736395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최종수정수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
491 
2
 
8
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 491
98.2%
2 8
 
1.6%
3 1
 
0.2%

Length

2023-12-12T14:58:32.837978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:32.933462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 491
98.2%
2 8
 
1.6%
3 1
 
0.2%

처리시각
Text

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T14:58:33.291375image/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 row48:37.4
4th row48:32.4
5th row48:31.0
ValueCountFrequency (%)
14:56.3 3
 
0.6%
16:20.3 3
 
0.6%
21:36.9 2
 
0.4%
16:53.5 2
 
0.4%
19:58.3 2
 
0.4%
04:04.1 2
 
0.4%
21:10.6 2
 
0.4%
03:20.6 2
 
0.4%
09:06.1 1
 
0.2%
09:22.3 1
 
0.2%
Other values (480) 480
96.0%
2023-12-12T14:58:33.822267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 500
14.3%
. 500
14.3%
2 372
10.6%
1 355
10.1%
0 320
9.1%
4 297
8.5%
3 286
8.2%
5 261
7.5%
6 158
 
4.5%
8 155
 
4.4%
Other values (2) 296
8.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 372
14.9%
1 355
14.2%
0 320
12.8%
4 297
11.9%
3 286
11.4%
5 261
10.4%
6 158
6.3%
8 155
6.2%
7 150
6.0%
9 146
 
5.8%
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%
2 372
10.6%
1 355
10.1%
0 320
9.1%
4 297
8.5%
3 286
8.2%
5 261
7.5%
6 158
 
4.5%
8 155
 
4.4%
Other values (2) 296
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 500
14.3%
. 500
14.3%
2 372
10.6%
1 355
10.1%
0 320
9.1%
4 297
8.5%
3 286
8.2%
5 261
7.5%
6 158
 
4.5%
8 155
 
4.4%
Other values (2) 296
8.5%

처리직원번호
Text

Distinct340
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T14:58:34.213818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.254
Min length4

Characters and Unicode

Total characters2127
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

Unique223 ?
Unique (%)44.6%

Sample

1st row9C683
2nd row5382
3rd row9C640
4th row4498
5th row9C778
ValueCountFrequency (%)
4841 6
 
1.2%
9c706 4
 
0.8%
5456 4
 
0.8%
9c635 4
 
0.8%
6013 4
 
0.8%
9c661 4
 
0.8%
6179 4
 
0.8%
5877 4
 
0.8%
9c627 4
 
0.8%
9c667 4
 
0.8%
Other values (330) 458
91.6%
2023-12-12T14:58:34.780302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 304
14.3%
5 277
13.0%
9 248
11.7%
4 223
10.5%
7 200
9.4%
0 180
8.5%
1 159
7.5%
3 158
7.4%
8 141
6.6%
C 127
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
94.0%
Uppercase Letter 127
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 304
15.2%
5 277
13.9%
9 248
12.4%
4 223
11.2%
7 200
10.0%
0 180
9.0%
1 159
8.0%
3 158
7.9%
8 141
7.0%
2 110
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
C 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
94.0%
Latin 127
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 304
15.2%
5 277
13.9%
9 248
12.4%
4 223
11.2%
7 200
10.0%
0 180
9.0%
1 159
8.0%
3 158
7.9%
8 141
7.0%
2 110
 
5.5%
Latin
ValueCountFrequency (%)
C 127
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 304
14.3%
5 277
13.0%
9 248
11.7%
4 223
10.5%
7 200
9.4%
0 180
8.5%
1 159
7.5%
3 158
7.4%
8 141
6.6%
C 127
6.0%

Sample

업무구분코드심사서ID전기매출금액당기매출금액매출금액증가비율신용등급구분코드최근신용등급코드최근K-Score평점등급코드최근SESS등급코드조사서ID최근평가일자최근이전신용등급코드최근이전평가일자연대입보기준저촉여부보증제한업종여부보증취급유의업종여부장기분할해지전환대상자금여부본건장기분할해지보증여부장기분할해지전환충족여부삭제여부최종수정수처리시각처리직원번호
0G000459cXKKb0ldb0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNYN149:37.09C683
1G410040530169djY8mfSmF0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN149:28.55382
2G18393231000179djryf89mv0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN248:37.49C640
3G296427560169cStWw4T140001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN148:32.44498
4G0001119cniEr2Y600001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN148:31.09C778
5G95310540199bLorcOPMq0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN148:20.59C744
6G12185162260149djXtQWPk90001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN148:19.95877
7G251743701AAAA9c6XApQ21I0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN148:09.55965
8G9dnS1CW8lp000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNYNYN148:06.04175
9G915199370159diH0ls0ZL0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNNNYN147:58.69C632
업무구분코드심사서ID전기매출금액당기매출금액매출금액증가비율신용등급구분코드최근신용등급코드최근K-Score평점등급코드최근SESS등급코드조사서ID최근평가일자최근이전신용등급코드최근이전평가일자연대입보기준저촉여부보증제한업종여부보증취급유의업종여부장기분할해지전환대상자금여부본건장기분할해지보증여부장기분할해지전환충족여부삭제여부최종수정수처리시각처리직원번호
490G4113001AAAA9deYzrGlha0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN242:20.09C627
491G000199ceHZY4aet0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN141:29.69C678
492G344336610499cN2lyN0sv0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN140:06.39C728
493G9dnS4M1DnW000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNYNYN139:28.89C689
494G000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN139:15.15079
495G000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN138:52.95079
496G000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN138:24.65079
497G000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNNYNYN137:58.54691
498G9dnS4Iu7jW000<NA>0001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNYNYN137:28.96082
499G944995270169deESbHke90001-01-01 00:00:00.0000000001-01-01 00:00:00.000000NNYNYN135:18.59C752