Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory45.4 B

Variable types

Categorical5

Dataset

Description2018~2022년 한국수력원자력(주)의 국내, 국외 신용등급 현황입니다. * 향후전망은 Positive(긍정적 : 향후 신용등급의 상승 가능성이 있음), Stable(안정적 : 향후 현 등급의 유지 가능성이 있음), Negative(부정적 : 향후 신용등급의 하락 가능성이 있음) 3단계가 있음
URLhttps://www.data.go.kr/data/15115719/fileData.do

Alerts

향후전망 has constant value ""Constant
평가기관 is highly overall correlated with 구분별 and 1 other fieldsHigh correlation
구분별 is highly overall correlated with 평가기관 and 1 other fieldsHigh correlation
평가등급 is highly overall correlated with 구분별 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 23:07:52.079944
Analysis finished2023-12-12 23:07:52.361854
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도별
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022
6 
2021
6 
2020
6 
2019
6 
2018
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 6
20.0%
2021 6
20.0%
2020 6
20.0%
2019 6
20.0%
2018 6
20.0%

Length

2023-12-13T08:07:52.411319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:52.497055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 6
20.0%
2021 6
20.0%
2020 6
20.0%
2019 6
20.0%
2018 6
20.0%

구분별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
해외
15 
국내
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해외
2nd row해외
3rd row해외
4th row국내
5th row국내

Common Values

ValueCountFrequency (%)
해외 15
50.0%
국내 15
50.0%

Length

2023-12-13T08:07:52.624847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:52.729216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해외 15
50.0%
국내 15
50.0%

평가기관
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Moody's
5 
S&P
5 
Fitch
5 
한국신용평가㈜
5 
한국기업평가㈜
5 

Length

Max length9
Median length8
Mean length6.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMoody's
2nd rowS&P
3rd rowFitch
4th row한국신용평가㈜
5th row한국기업평가㈜

Common Values

ValueCountFrequency (%)
Moody's 5
16.7%
S&P 5
16.7%
Fitch 5
16.7%
한국신용평가㈜ 5
16.7%
한국기업평가㈜ 5
16.7%
NICE신용평가㈜ 5
16.7%

Length

2023-12-13T08:07:52.851345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:52.972113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
moody's 5
16.7%
s&p 5
16.7%
fitch 5
16.7%
한국신용평가㈜ 5
16.7%
한국기업평가㈜ 5
16.7%
nice신용평가㈜ 5
16.7%

평가등급
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
AAA
15 
Aa2
5 
AA
5 
AA-
5 

Length

Max length3
Median length3
Mean length2.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAa2
2nd rowAA
3rd rowAA-
4th rowAAA
5th rowAAA

Common Values

ValueCountFrequency (%)
AAA 15
50.0%
Aa2 5
 
16.7%
AA 5
 
16.7%
AA- 5
 
16.7%

Length

2023-12-13T08:07:53.111177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:53.209097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
aaa 15
50.0%
aa 10
33.3%
aa2 5
 
16.7%

향후전망
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Stable
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Stable 30
100.0%

Length

2023-12-13T08:07:53.327098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:53.415735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
stable 30
100.0%

Correlations

2023-12-13T08:07:53.463448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도별구분별평가기관평가등급
년도별1.0000.0000.0000.000
구분별0.0001.0001.0001.000
평가기관0.0001.0001.0001.000
평가등급0.0001.0001.0001.000
2023-12-13T08:07:53.568561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가기관구분별평가등급년도별
평가기관1.0000.9260.9610.000
구분별0.9261.0000.9640.000
평가등급0.9610.9641.0000.000
년도별0.0000.0000.0001.000
2023-12-13T08:07:53.652154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도별구분별평가기관평가등급
년도별1.0000.0000.0000.000
구분별0.0001.0000.9260.964
평가기관0.0000.9261.0000.961
평가등급0.0000.9640.9611.000

Missing values

2023-12-13T08:07:52.237393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:07:52.322263image/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

년도별구분별평가기관평가등급향후전망
02022해외Moody'sAa2Stable
12022해외S&PAAStable
22022해외FitchAA-Stable
32022국내한국신용평가㈜AAAStable
42022국내한국기업평가㈜AAAStable
52022국내NICE신용평가㈜AAAStable
62021해외Moody'sAa2Stable
72021해외S&PAAStable
82021해외FitchAA-Stable
92021국내한국신용평가㈜AAAStable
년도별구분별평가기관평가등급향후전망
202019해외FitchAA-Stable
212019국내한국신용평가㈜AAAStable
222019국내한국기업평가㈜AAAStable
232019국내NICE신용평가㈜AAAStable
242018해외Moody'sAa2Stable
252018해외S&PAAStable
262018해외FitchAA-Stable
272018국내한국신용평가㈜AAAStable
282018국내한국기업평가㈜AAAStable
292018국내NICE신용평가㈜AAAStable