Overview

Dataset statistics

Number of variables8
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory66.8 B

Variable types

Numeric1
Text1
DateTime1
Categorical5

Dataset

Description한국중부발전(주)의 SPC(특수목적법인) 사업 현황 정보이며, 목록명은 "구분". "출자회사명", "최초출자일", "지배구조_출자", "지배구조_종속관계", "국가", "주요사업", "발전전원 코드", "발전전원 명"으로 이루어져 있음. 지배구조_출자는 "자회사/출자회사/재출자회사" 로, 지배구조_종속관계는 "종속기업/관계기업/공정가치측정금융자산" 으로 분류됨
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15119075/fileData.do

Alerts

지배구조_출자 is highly overall correlated with 지배구조_종속관계 and 1 other fieldsHigh correlation
지배구조_종속관계 is highly overall correlated with 지배구조_출자High correlation
국가 is highly overall correlated with 지배구조_출자 and 1 other fieldsHigh correlation
주요사업 is highly overall correlated with 국가High correlation
구분 has unique valuesUnique
출자회사명 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:37:52.872089
Analysis finished2024-05-04 07:37:55.337958
Duration2.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-05-04T07:37:55.628212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2024-05-04T07:37:56.253707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

출자회사명
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-05-04T07:37:56.749686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length17.287671
Min length5

Characters and Unicode

Total characters1262
Distinct characters142
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st row한국전력거래소
2nd row강원풍력발전㈜
3rd rowKOMIPO Global Pte Ltd.
4th rowPT. Cirebon Electric Power
5th row현대그린파워㈜
ValueCountFrequency (%)
llc 18
 
9.1%
komipo 11
 
5.6%
holdings 9
 
4.6%
pt 9
 
4.6%
elara 7
 
3.6%
power 6
 
3.0%
cvs 6
 
3.0%
energy 6
 
3.0%
ltd 5
 
2.5%
development 4
 
2.0%
Other values (90) 116
58.9%
2024-05-04T07:37:57.747086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
9.8%
e 58
 
4.6%
a 52
 
4.1%
r 52
 
4.1%
o 51
 
4.0%
l 47
 
3.7%
n 46
 
3.6%
L 45
 
3.6%
i 38
 
3.0%
C 37
 
2.9%
Other values (132) 712
56.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 547
43.3%
Uppercase Letter 296
23.5%
Other Letter 235
18.6%
Space Separator 124
 
9.8%
Other Symbol 32
 
2.5%
Other Punctuation 25
 
2.0%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 12
 
5.1%
에 11
 
4.7%
이 11
 
4.7%
발 11
 
4.7%
양 11
 
4.7%
력 8
 
3.4%
지 7
 
3.0%
영 7
 
3.0%
풍 7
 
3.0%
광 7
 
3.0%
Other values (81) 143
60.9%
Lowercase Letter
ValueCountFrequency (%)
e 58
10.6%
a 52
9.5%
r 52
9.5%
o 51
9.3%
l 47
 
8.6%
n 46
 
8.4%
i 38
 
6.9%
s 28
 
5.1%
t 27
 
4.9%
g 26
 
4.8%
Other values (13) 122
22.3%
Uppercase Letter
ValueCountFrequency (%)
L 45
15.2%
C 37
12.5%
P 36
12.2%
E 23
7.8%
O 23
7.8%
I 21
7.1%
S 20
 
6.8%
B 13
 
4.4%
M 13
 
4.4%
K 13
 
4.4%
Other values (11) 52
17.6%
Other Punctuation
ValueCountFrequency (%)
. 21
84.0%
, 4
 
16.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 843
66.8%
Hangul 267
 
21.2%
Common 152
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 32
 
12.0%
전 12
 
4.5%
에 11
 
4.1%
이 11
 
4.1%
발 11
 
4.1%
양 11
 
4.1%
력 8
 
3.0%
지 7
 
2.6%
영 7
 
2.6%
풍 7
 
2.6%
Other values (82) 150
56.2%
Latin
ValueCountFrequency (%)
e 58
 
6.9%
a 52
 
6.2%
r 52
 
6.2%
o 51
 
6.0%
l 47
 
5.6%
n 46
 
5.5%
L 45
 
5.3%
i 38
 
4.5%
C 37
 
4.4%
P 36
 
4.3%
Other values (34) 381
45.2%
Common
ValueCountFrequency (%)
124
81.6%
. 21
 
13.8%
, 4
 
2.6%
( 1
 
0.7%
) 1
 
0.7%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 995
78.8%
Hangul 235
 
18.6%
None 32
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
 
12.5%
e 58
 
5.8%
a 52
 
5.2%
r 52
 
5.2%
o 51
 
5.1%
l 47
 
4.7%
n 46
 
4.6%
L 45
 
4.5%
i 38
 
3.8%
C 37
 
3.7%
Other values (40) 445
44.7%
None
ValueCountFrequency (%)
㈜ 32
100.0%
Hangul
ValueCountFrequency (%)
전 12
 
5.1%
에 11
 
4.7%
이 11
 
4.7%
발 11
 
4.7%
양 11
 
4.7%
력 8
 
3.4%
지 7
 
3.0%
영 7
 
3.0%
풍 7
 
3.0%
광 7
 
3.0%
Other values (81) 143
60.9%

최초출자일
Date

Distinct55
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2001-04-02 00:00:00
Maximum2021-12-28 00:00:00
2024-05-04T07:37:58.293736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:37:58.869423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지배구조_출자
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
재출자회사
36 
출자회사
26 
자회사
11 

Length

Max length5
Median length4
Mean length4.3424658
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row출자회사
2nd row출자회사
3rd row자회사
4th row재출자회사
5th row출자회사

Common Values

ValueCountFrequency (%)
재출자회사 36
49.3%
출자회사 26
35.6%
자회사 11
 
15.1%

Length

2024-05-04T07:37:59.381423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:37:59.788432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재출자회사 36
49.3%
출자회사 26
35.6%
자회사 11
 
15.1%

지배구조_종속관계
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
종속기업
38 
관계기업
25 
공동기업
6 
공정가치측정금융자산
4 

Length

Max length10
Median length4
Mean length4.3287671
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공정가치측정금융자산
2nd row관계기업
3rd row종속기업
4th row관계기업
5th row관계기업

Common Values

ValueCountFrequency (%)
종속기업 38
52.1%
관계기업 25
34.2%
공동기업 6
 
8.2%
공정가치측정금융자산 4
 
5.5%

Length

2024-05-04T07:38:00.172016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:00.495624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종속기업 38
52.1%
관계기업 25
34.2%
공동기업 6
 
8.2%
공정가치측정금융자산 4
 
5.5%

국가
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
대한민국
34 
미국
20 
인도네시아
9 
호주
 
3
스웨덴
 
2
Other values (4)
5 

Length

Max length5
Median length4
Mean length3.4246575
Min length2

Unique

Unique3 ?
Unique (%)4.1%

Sample

1st row대한민국
2nd row대한민국
3rd row싱가포르
4th row인도네시아
5th row대한민국

Common Values

ValueCountFrequency (%)
대한민국 34
46.6%
미국 20
27.4%
인도네시아 9
 
12.3%
호주 3
 
4.1%
스웨덴 2
 
2.7%
스페인 2
 
2.7%
싱가포르 1
 
1.4%
네덜란드 1
 
1.4%
베트남 1
 
1.4%

Length

2024-05-04T07:38:00.927341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:01.378281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 34
46.6%
미국 20
27.4%
인도네시아 9
 
12.3%
호주 3
 
4.1%
스웨덴 2
 
2.7%
스페인 2
 
2.7%
싱가포르 1
 
1.4%
네덜란드 1
 
1.4%
베트남 1
 
1.4%

주요사업
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
발전사업
42 
해외투자사업
20 
발전소 운영사업
 
3
해외자원개발
 
2
전력시장 및 계통운영
 
1
Other values (5)
5 

Length

Max length11
Median length4
Mean length5.0958904
Min length4

Unique

Unique6 ?
Unique (%)8.2%

Sample

1st row전력시장 및 계통운영
2nd row발전사업
3rd row해외투자사업
4th row발전사업
5th row발전사업

Common Values

ValueCountFrequency (%)
발전사업 42
57.5%
해외투자사업 20
27.4%
발전소 운영사업 3
 
4.1%
해외자원개발 2
 
2.7%
전력시장 및 계통운영 1
 
1.4%
해외자원개발사업 1
 
1.4%
에너지효율화사업 1
 
1.4%
유연탄 광산개발 1
 
1.4%
서비스업 1
 
1.4%
발전소운영정비사업 1
 
1.4%

Length

2024-05-04T07:38:01.988675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:02.505288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전사업 42
53.2%
해외투자사업 20
25.3%
발전소 3
 
3.8%
운영사업 3
 
3.8%
해외자원개발 2
 
2.5%
전력시장 1
 
1.3%
및 1
 
1.3%
계통운영 1
 
1.3%
해외자원개발사업 1
 
1.3%
에너지효율화사업 1
 
1.3%
Other values (4) 4
 
5.1%

발전전원 명
Categorical

Distinct4
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
태양광
36 
기타
24 
풍력
11 
수력
 
2

Length

Max length3
Median length2
Mean length2.4931507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row풍력
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
태양광 36
49.3%
기타 24
32.9%
풍력 11
 
15.1%
수력 2
 
2.7%

Length

2024-05-04T07:38:02.996171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:03.312786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 36
49.3%
기타 24
32.9%
풍력 11
 
15.1%
수력 2
 
2.7%

Interactions

2024-05-04T07:37:54.213553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T07:38:03.555489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분출자회사명최초출자일지배구조_출자지배구조_종속관계국가주요사업발전전원 명
구분1.0001.0000.9840.5030.3620.5400.5720.632
출자회사명1.0001.0001.0001.0001.0001.0001.0001.000
최초출자일0.9841.0001.0000.9270.9710.9780.9950.978
지배구조_출자0.5031.0000.9271.0000.5650.8980.6610.446
지배구조_종속관계0.3621.0000.9710.5651.0000.6050.7100.559
국가0.5401.0000.9780.8980.6051.0000.8150.628
주요사업0.5721.0000.9950.6610.7100.8151.0000.277
발전전원 명0.6321.0000.9780.4460.5590.6280.2771.000
2024-05-04T07:38:03.971310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가지배구조_출자지배구조_종속관계발전전원 명주요사업
국가1.0000.6060.4180.4390.544
지배구조_출자0.6061.0000.5690.4370.483
지배구조_종속관계0.4180.5691.0000.2440.489
발전전원 명0.4390.4370.2441.0000.156
주요사업0.5440.4830.4890.1561.000
2024-05-04T07:38:04.243346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지배구조_출자지배구조_종속관계국가주요사업발전전원 명
구분1.0000.3300.2100.2760.2030.413
지배구조_출자0.3301.0000.5690.6060.4830.437
지배구조_종속관계0.2100.5691.0000.4180.4890.244
국가0.2760.6060.4181.0000.5440.439
주요사업0.2030.4830.4890.5441.0000.156
발전전원 명0.4130.4370.2440.4390.1561.000

Missing values

2024-05-04T07:37:54.619240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:37:55.176227image/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

구분출자회사명최초출자일지배구조_출자지배구조_종속관계국가주요사업발전전원 명
01한국전력거래소2001-04-02출자회사공정가치측정금융자산대한민국전력시장 및 계통운영기타
12강원풍력발전㈜2005-06-09출자회사관계기업대한민국발전사업풍력
23KOMIPO Global Pte Ltd.2007-04-17자회사종속기업싱가포르해외투자사업기타
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