Overview

Dataset statistics

Number of variables20
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory166.6 B

Variable types

Categorical13
Text2
Numeric1
DateTime4

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/7c2fc6dd-2d5f-44de-8926-88e8fc98eb00

Alerts

기준년도 has constant value ""Constant
2022재무기준일자 has constant value ""Constant
2021재무기준일자 has constant value ""Constant
2020재무기준일자 has constant value ""Constant
2019재무기준일자 has constant value ""Constant
2018재무기준일자 has constant value ""Constant
정보기준일자 has constant value ""Constant
2022평가일자 is highly overall correlated with 2022신용등급High correlation
2022신용등급 is highly overall correlated with 2022평가일자 and 1 other fieldsHigh correlation
2021신용등급 is highly overall correlated with 2022신용등급 and 2 other fieldsHigh correlation
2020신용등급 is highly overall correlated with 2021신용등급 and 1 other fieldsHigh correlation
2019신용등급 is highly overall correlated with 2021신용등급 and 1 other fieldsHigh correlation
2022평가일자 is highly imbalanced (54.7%)Imbalance
기업명 has unique valuesUnique
기업코드 has unique valuesUnique
사업자번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:04:51.878462
Analysis finished2023-12-10 14:04:53.644132
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 29
100.0%

Length

2023-12-10T23:04:53.756514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:54.247783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 29
100.0%

기업명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:04:54.570845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.137931
Min length4

Characters and Unicode

Total characters149
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row가나환경건설
2nd row가나환경개발
3rd row가나드림
4th row가나차이나
5th row가나쵸이스
ValueCountFrequency (%)
가나환경건설 1
 
3.4%
가나장작구이 1
 
3.4%
가나색연필 1
 
3.4%
가나프론티어 1
 
3.4%
가나프런티어 1
 
3.4%
가나커피숍 1
 
3.4%
가나특송 1
 
3.4%
가나클리닉 1
 
3.4%
가나식품유통 1
 
3.4%
가나민속주점 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T23:04:55.159224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

기업코드
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.06897
Minimum174
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T23:04:55.621782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile175.8
Q1185
median193
Q3200
95-th percentile205.6
Maximum207
Range33
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.8195542
Coefficient of variation (CV)0.051125148
Kurtosis-1.0021842
Mean192.06897
Median Absolute Deviation (MAD)8
Skewness-0.27559791
Sum5570
Variance96.423645
MonotonicityStrictly increasing
2023-12-10T23:04:55.830775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
174 1
 
3.4%
175 1
 
3.4%
207 1
 
3.4%
206 1
 
3.4%
205 1
 
3.4%
204 1
 
3.4%
203 1
 
3.4%
202 1
 
3.4%
201 1
 
3.4%
200 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
174 1
3.4%
175 1
3.4%
177 1
3.4%
178 1
3.4%
181 1
3.4%
182 1
3.4%
183 1
3.4%
185 1
3.4%
186 1
3.4%
187 1
3.4%
ValueCountFrequency (%)
207 1
3.4%
206 1
3.4%
205 1
3.4%
204 1
3.4%
203 1
3.4%
202 1
3.4%
201 1
3.4%
200 1
3.4%
199 1
3.4%
198 1
3.4%

사업자번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:04:56.169479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
Distinct characters11
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

Unique29 ?
Unique (%)100.0%

Sample

1st row999-86-99902
2nd row999-86-99903
3rd row999-87-99905
4th row999-87-99906
5th row999-86-99909
ValueCountFrequency (%)
999-86-99902 1
 
3.4%
999-81-99922 1
 
3.4%
999-81-99934 1
 
3.4%
999-81-99933 1
 
3.4%
999-81-99932 1
 
3.4%
999-81-99931 1
 
3.4%
999-81-99930 1
 
3.4%
999-81-99929 1
 
3.4%
999-81-99928 1
 
3.4%
999-81-99927 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T23:04:56.744499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 177
50.9%
- 58
 
16.7%
8 31
 
8.9%
1 29
 
8.3%
2 13
 
3.7%
6 10
 
2.9%
3 10
 
2.9%
0 8
 
2.3%
7 5
 
1.4%
5 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 177
61.0%
8 31
 
10.7%
1 29
 
10.0%
2 13
 
4.5%
6 10
 
3.4%
3 10
 
3.4%
0 8
 
2.8%
7 5
 
1.7%
5 4
 
1.4%
4 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 177
50.9%
- 58
 
16.7%
8 31
 
8.9%
1 29
 
8.3%
2 13
 
3.7%
6 10
 
2.9%
3 10
 
2.9%
0 8
 
2.3%
7 5
 
1.4%
5 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 177
50.9%
- 58
 
16.7%
8 31
 
8.9%
1 29
 
8.3%
2 13
 
3.7%
6 10
 
2.9%
3 10
 
2.9%
0 8
 
2.3%
7 5
 
1.4%
5 4
 
1.1%

2022평가일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-07-06
23 
2023-06-01
 
1
2023-04-22
 
1
2023-07-22
 
1
2023-06-04
 
1
Other values (2)
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)20.7%

Sample

1st row2023-06-01
2nd row2023-07-06
3rd row2023-07-06
4th row2023-07-06
5th row2023-07-06

Common Values

ValueCountFrequency (%)
2023-07-06 23
79.3%
2023-06-01 1
 
3.4%
2023-04-22 1
 
3.4%
2023-07-22 1
 
3.4%
2023-06-04 1
 
3.4%
2023-06-17 1
 
3.4%
2023-07-16 1
 
3.4%

Length

2023-12-10T23:04:56.973285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:57.150298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-06 23
79.3%
2023-06-01 1
 
3.4%
2023-04-22 1
 
3.4%
2023-07-22 1
 
3.4%
2023-06-04 1
 
3.4%
2023-06-17 1
 
3.4%
2023-07-16 1
 
3.4%

2021평가일자
Date

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2022-04-23 00:00:00
Maximum2023-04-09 00:00:00
2023-12-10T23:04:57.406735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:04:57.614791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

2020평가일자
Date

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2021-04-24 00:00:00
Maximum2022-04-18 00:00:00
2023-12-10T23:04:57.803712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:04:57.988046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

2019평가일자
Date

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2020-04-25 00:00:00
Maximum2021-04-18 00:00:00
2023-12-10T23:04:58.165830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:04:58.363216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

2018평가일자
Date

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2019-04-13 00:00:00
Maximum2020-04-16 00:00:00
2023-12-10T23:04:58.565967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:04:58.799707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

2022재무기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2022-12-31
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 29
100.0%

Length

2023-12-10T23:04:59.033629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:59.184699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 29
100.0%

2021재무기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2021-12-31
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-31
2nd row2021-12-31
3rd row2021-12-31
4th row2021-12-31
5th row2021-12-31

Common Values

ValueCountFrequency (%)
2021-12-31 29
100.0%

Length

2023-12-10T23:04:59.344515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:59.497170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-31 29
100.0%

2020재무기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2020-12-31
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-31
2nd row2020-12-31
3rd row2020-12-31
4th row2020-12-31
5th row2020-12-31

Common Values

ValueCountFrequency (%)
2020-12-31 29
100.0%

Length

2023-12-10T23:04:59.657609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:59.804649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-31 29
100.0%

2019재무기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2019-12-31
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-31
2nd row2019-12-31
3rd row2019-12-31
4th row2019-12-31
5th row2019-12-31

Common Values

ValueCountFrequency (%)
2019-12-31 29
100.0%

Length

2023-12-10T23:04:59.973475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:00.141551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-31 29
100.0%

2018재무기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2018-12-31
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-12-31
2nd row2018-12-31
3rd row2018-12-31
4th row2018-12-31
5th row2018-12-31

Common Values

ValueCountFrequency (%)
2018-12-31 29
100.0%

Length

2023-12-10T23:05:00.323403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:00.470045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-12-31 29
100.0%

2022신용등급
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
A+
5 
CCC+
4 
BBB
4 
BB-
3 
BB+
3 
Other values (7)
10 

Length

Max length4
Median length3
Mean length2.7931034
Min length2

Unique

Unique5 ?
Unique (%)17.2%

Sample

1st rowBBB-
2nd rowCCC+
3rd rowBB-
4th rowA+
5th rowBB+

Common Values

ValueCountFrequency (%)
A+ 5
17.2%
CCC+ 4
13.8%
BBB 4
13.8%
BB- 3
10.3%
BB+ 3
10.3%
AA 3
10.3%
AA- 2
 
6.9%
BBB- 1
 
3.4%
BB 1
 
3.4%
B+ 1
 
3.4%
Other values (2) 2
 
6.9%

Length

2023-12-10T23:05:00.651859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bb 7
24.1%
a 6
20.7%
aa 6
20.7%
bbb 5
17.2%
ccc 4
13.8%
b 1
 
3.4%

2021신용등급
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
BBB
6 
AA-
5 
BB+
4 
CCC+
4 
BB
2 
Other values (6)
8 

Length

Max length4
Median length3
Mean length2.9310345
Min length1

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st rowBB+
2nd rowCCC+
3rd rowBB-
4th rowBBB-
5th rowBB

Common Values

ValueCountFrequency (%)
BBB 6
20.7%
AA- 5
17.2%
BB+ 4
13.8%
CCC+ 4
13.8%
BB 2
 
6.9%
AA+ 2
 
6.9%
B+ 2
 
6.9%
BB- 1
 
3.4%
BBB- 1
 
3.4%
A 1
 
3.4%

Length

2023-12-10T23:05:00.913928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bbb 7
24.1%
aa 7
24.1%
bb 7
24.1%
ccc 4
13.8%
b 2
 
6.9%
a 2
 
6.9%

2020신용등급
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
A+
4 
BB+
3 
CCC+
3 
AA-
3 
AA
3 
Other values (9)
13 

Length

Max length4
Median length3
Mean length2.7241379
Min length1

Unique

Unique6 ?
Unique (%)20.7%

Sample

1st rowBB+
2nd rowCCC+
3rd rowBB-
4th rowBBB+
5th rowBB-

Common Values

ValueCountFrequency (%)
A+ 4
13.8%
BB+ 3
10.3%
CCC+ 3
10.3%
AA- 3
10.3%
AA 3
10.3%
BB 3
10.3%
BB- 2
6.9%
BBB- 2
6.9%
BBB+ 1
 
3.4%
CCC- 1
 
3.4%
Other values (4) 4
13.8%

Length

2023-12-10T23:05:01.167058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bb 8
27.6%
a 6
20.7%
aa 6
20.7%
ccc 4
13.8%
bbb 4
13.8%
b 1
 
3.4%

2019신용등급
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
CCC+
5 
AA-
4 
A+
3 
BB+
2 
BB-
2 
Other values (7)
13 

Length

Max length4
Median length3
Mean length2.7931034
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st rowBB+
2nd rowCCC+
3rd rowBB-
4th rowA-
5th rowBB-

Common Values

ValueCountFrequency (%)
CCC+ 5
17.2%
AA- 4
13.8%
A+ 3
10.3%
BB+ 2
 
6.9%
BB- 2
 
6.9%
A- 2
 
6.9%
BB 2
 
6.9%
BBB+ 2
 
6.9%
AA 2
 
6.9%
BBB- 2
 
6.9%
Other values (2) 3
10.3%

Length

2023-12-10T23:05:01.452943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
aa 6
20.7%
a 6
20.7%
bb 6
20.7%
ccc 5
17.2%
bbb 4
13.8%
b 2
 
6.9%

2018신용등급
Categorical

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
BB+
4 
A-
4 
AA-
4 
CCC+
3 
AA
3 
Other values (7)
11 

Length

Max length4
Median length3
Mean length2.7586207
Min length1

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st rowBB+
2nd rowCCC+
3rd rowBB+
4th rowBBB-
5th rowBB

Common Values

ValueCountFrequency (%)
BB+ 4
13.8%
A- 4
13.8%
AA- 4
13.8%
CCC+ 3
10.3%
AA 3
10.3%
BB- 3
10.3%
BBB- 2
6.9%
BB 2
6.9%
CCC 1
 
3.4%
B+ 1
 
3.4%
Other values (2) 2
6.9%

Length

2023-12-10T23:05:01.686399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bb 9
31.0%
aa 8
27.6%
a 5
17.2%
ccc 4
13.8%
bbb 2
 
6.9%
b 1
 
3.4%

정보기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-06-03
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-03
2nd row2023-06-03
3rd row2023-06-03
4th row2023-06-03
5th row2023-06-03

Common Values

ValueCountFrequency (%)
2023-06-03 29
100.0%

Length

2023-12-10T23:05:01.898529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:02.040412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-03 29
100.0%

Interactions

2023-12-10T23:04:52.858658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:05:02.154161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업명기업코드사업자번호2022평가일자2021평가일자2020평가일자2019평가일자2018평가일자2022신용등급2021신용등급2020신용등급2019신용등급2018신용등급
기업명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기업코드1.0001.0001.0000.0000.8210.0000.0000.7330.0000.6360.5900.5920.509
사업자번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2022평가일자1.0000.0001.0001.0000.7190.9490.0000.8690.8410.0000.0000.6090.000
2021평가일자1.0000.8211.0000.7191.0000.9430.9740.9640.9810.0000.2880.0000.927
2020평가일자1.0000.0001.0000.9490.9431.0000.9040.7990.8660.1350.0000.0000.000
2019평가일자1.0000.0001.0000.0000.9740.9041.0000.9240.9160.8130.4890.7100.809
2018평가일자1.0000.7331.0000.8690.9640.7990.9241.0000.8280.0000.0000.0000.000
2022신용등급1.0000.0001.0000.8410.9810.8660.9160.8281.0000.8660.7070.8890.771
2021신용등급1.0000.6361.0000.0000.0000.1350.8130.0000.8661.0000.9210.9180.786
2020신용등급1.0000.5901.0000.0000.2880.0000.4890.0000.7070.9211.0000.8900.824
2019신용등급1.0000.5921.0000.6090.0000.0000.7100.0000.8890.9180.8901.0000.742
2018신용등급1.0000.5091.0000.0000.9270.0000.8090.0000.7710.7860.8240.7421.000
2023-12-10T23:05:02.403455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2020신용등급2021신용등급2022신용등급2019신용등급2018신용등급2022평가일자
2020신용등급1.0000.6290.3000.5570.4400.000
2021신용등급0.6291.0000.5560.6670.4310.000
2022신용등급0.3000.5561.0000.4380.2860.537
2019신용등급0.5570.6670.4381.0000.2590.285
2018신용등급0.4400.4310.2860.2591.0000.000
2022평가일자0.0000.0000.5370.2850.0001.000
2023-12-10T23:05:02.590461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업코드2022평가일자2022신용등급2021신용등급2020신용등급2019신용등급2018신용등급
기업코드1.0000.0000.0000.2630.2030.2440.247
2022평가일자0.0001.0000.5370.0000.0000.2850.000
2022신용등급0.0000.5371.0000.5560.3000.4380.286
2021신용등급0.2630.0000.5561.0000.6290.6670.431
2020신용등급0.2030.0000.3000.6291.0000.5570.440
2019신용등급0.2440.2850.4380.6670.5571.0000.259
2018신용등급0.2470.0000.2860.4310.4400.2591.000

Missing values

2023-12-10T23:04:53.112680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:04:53.491498image/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

기준년도기업명기업코드사업자번호2022평가일자2021평가일자2020평가일자2019평가일자2018평가일자2022재무기준일자2021재무기준일자2020재무기준일자2019재무기준일자2018재무기준일자2022신용등급2021신용등급2020신용등급2019신용등급2018신용등급정보기준일자
02023가나환경건설174999-86-999022023-06-012023-01-072021-11-022020-07-242019-06-022022-12-312021-12-312020-12-312019-12-312018-12-31BBB-BB+BB+BB+BB+2023-06-03
12023가나환경개발175999-86-999032023-07-062023-01-162021-12-132020-07-242019-08-072022-12-312021-12-312020-12-312019-12-312018-12-31CCC+CCC+CCC+CCC+CCC+2023-06-03
22023가나드림177999-87-999052023-07-062023-01-302022-01-012021-02-142020-03-022022-12-312021-12-312020-12-312019-12-312018-12-31BB-BB-BB-BB-BB+2023-06-03
32023가나차이나178999-87-999062023-07-062023-03-032022-02-032021-02-012019-07-232022-12-312021-12-312020-12-312019-12-312018-12-31A+BBB-BBB+A-BBB-2023-06-03
42023가나쵸이스181999-86-999092023-07-062023-03-262022-02-172020-12-102020-02-282022-12-312021-12-312020-12-312019-12-312018-12-31BB+BBBB-BB-BB2023-06-03
52023가나이화182999-86-999102023-07-062023-01-132021-10-032021-01-092020-02-042022-12-312021-12-312020-12-312019-12-312018-12-31BB-BB+BB+BBBB+2023-06-03
62023가나최가네183999-81-999112023-07-062023-02-282022-03-172021-04-022020-03-082022-12-312021-12-312020-12-312019-12-312018-12-31BBBBBBAA-BBB+A-2023-06-03
72023가나유라시아185999-86-999132023-07-062022-08-142021-08-282020-07-242019-07-232022-12-312021-12-312020-12-312019-12-312018-12-31A+AA-A+AA-AA-2023-06-03
82023가나기독교186999-86-999142023-07-062023-02-252022-01-302021-03-082019-06-022022-12-312021-12-312020-12-312019-12-312018-12-31CCC+CCC+CCC-CCC+CCC+2023-06-03
92023가나정공187999-81-999152023-07-062023-01-122021-10-032020-12-282019-07-232022-12-312021-12-312020-12-312019-12-312018-12-31AAAA+AAAAAA2023-06-03
기준년도기업명기업코드사업자번호2022평가일자2021평가일자2020평가일자2019평가일자2018평가일자2022재무기준일자2021재무기준일자2020재무기준일자2019재무기준일자2018재무기준일자2022신용등급2021신용등급2020신용등급2019신용등급2018신용등급정보기준일자
192023가나깨끗한198999-81-999262023-07-062023-03-092022-03-152021-03-012020-03-082022-12-312021-12-312020-12-312019-12-312018-12-31B+B+BBBBB-2023-06-03
202023가나민속주점199999-81-999272023-06-042022-04-302021-05-012021-01-082020-04-042022-12-312021-12-312020-12-312019-12-312018-12-31BBBBBBBBB-BBBB2023-06-03
212023가나식품유통200999-81-999282023-07-062023-03-052021-12-122020-12-282019-09-282022-12-312021-12-312020-12-312019-12-312018-12-31CCC+CCC+CCC+CCC+BB-2023-06-03
222023가나클리닉201999-81-999292023-07-062023-01-192022-04-172021-02-052019-07-222022-12-312021-12-312020-12-312019-12-312018-12-31AAAA+AAAAAA+2023-06-03
232023가나특송202999-81-999302023-06-172023-01-262022-04-132021-03-132020-02-172022-12-312021-12-312020-12-312019-12-312018-12-31AA+AA-A+A+AA-2023-06-03
242023가나커피숍203999-81-999312023-07-062023-03-132022-02-082021-01-102020-03-032022-12-312021-12-312020-12-312019-12-312018-12-31AA-AA-AA-A+AA-2023-06-03
252023가나프런티어204999-81-999322023-07-062023-04-092022-04-182021-04-182020-04-162022-12-312021-12-312020-12-312019-12-312018-12-31A-A-A-A-A-2023-06-03
262023가나프론티어205999-81-999332023-07-062022-12-152021-10-162021-01-292019-12-162022-12-312021-12-312020-12-312019-12-312018-12-31AABBBA+A+AA2023-06-03
272023가나색연필206999-81-999342023-07-162022-07-172021-12-122021-04-022020-03-232022-12-312021-12-312020-12-312019-12-312018-12-31BBBBBBBBBBBB-A-2023-06-03
282023가나사료207999-81-999352023-07-062023-03-022021-11-282021-01-082019-07-222022-12-312021-12-312020-12-312019-12-312018-12-31CCC+CCC+CCC+CCC+CCC+2023-06-03