Overview

Dataset statistics

Number of variables4
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory33.2 B

Variable types

Categorical2
Text2

Dataset

Description정부 보조금, 소비자의 초기투자비 부담없이 대여사업자가 설치·운영·관리까지 책임지는 민간주도 신재생에너지설비 보급 및 신재생에너지산업 육성을 위한 사업인 태양광 대여사업에 참여하는 민간기업의 정보
Author한국에너지공단
URLhttps://www.data.go.kr/data/15015029/fileData.do

Reproduction

Analysis started2024-04-06 08:07:00.518658
Analysis finished2024-04-06 08:07:01.298396
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여사업자명
Categorical

Distinct7
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1012.0 B
청호나이스(주)
19 
에너리스(주)
18 
인피니티에너지 주식회사
18 
태웅이엔에스㈜
17 
엔라이튼 주식회사
17 
Other values (2)
21 

Length

Max length12
Median length9
Mean length8.2818182
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row에너리스(주)
2nd row에너리스(주)
3rd row에너리스(주)
4th row에너리스(주)
5th row에너리스(주)

Common Values

ValueCountFrequency (%)
청호나이스(주) 19
17.3%
에너리스(주) 18
16.4%
인피니티에너지 주식회사 18
16.4%
태웅이엔에스㈜ 17
15.5%
엔라이튼 주식회사 17
15.5%
(주)해줌 11
10.0%
(주)세아네트웍스 10
9.1%

Length

2024-04-06T17:07:01.441331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:07:01.753484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주식회사 35
24.1%
청호나이스(주 19
13.1%
에너리스(주 18
12.4%
인피니티에너지 18
12.4%
태웅이엔에스㈜ 17
11.7%
엔라이튼 17
11.7%
주)해줌 11
 
7.6%
주)세아네트웍스 10
 
6.9%

협력사명
Text

Distinct76
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-06T17:07:02.232492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.7545455
Min length2

Characters and Unicode

Total characters853
Distinct characters125
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)49.1%

Sample

1st row대원전설(주)
2nd row(주)한국나이스기술단
3rd row화신전력
4th row㈜티디에스전력
5th row㈜정우엔지니어링
ValueCountFrequency (%)
주식회사 25
 
18.1%
㈜하나전기 5
 
3.6%
주)태양전기 4
 
2.9%
대원전설(주 3
 
2.2%
㈜다쓰테크이엔씨 3
 
2.2%
주식회사한국그린전력 3
 
2.2%
㈜해담이엔지 3
 
2.2%
주)포앤텍 3
 
2.2%
㈜정우엔지니어링 3
 
2.2%
유한회사늘푸른에너지 3
 
2.2%
Other values (70) 83
60.1%
2024-04-06T17:07:02.972576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 61
 
7.2%
지 38
 
4.5%
㈜ 37
 
4.3%
에 36
 
4.2%
사 35
 
4.1%
회 34
 
4.0%
( 32
 
3.8%
) 32
 
3.8%
식 30
 
3.5%
이 28
 
3.3%
Other values (115) 490
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
84.8%
Other Symbol 37
 
4.3%
Open Punctuation 32
 
3.8%
Close Punctuation 32
 
3.8%
Space Separator 28
 
3.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 61
 
8.4%
지 38
 
5.3%
에 36
 
5.0%
사 35
 
4.8%
회 34
 
4.7%
식 30
 
4.1%
이 28
 
3.9%
전 27
 
3.7%
너 24
 
3.3%
기 21
 
2.9%
Other values (110) 389
53.8%
Other Symbol
ValueCountFrequency (%)
㈜ 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
89.1%
Common 93
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 61
 
8.0%
지 38
 
5.0%
㈜ 37
 
4.9%
에 36
 
4.7%
사 35
 
4.6%
회 34
 
4.5%
식 30
 
3.9%
이 28
 
3.7%
전 27
 
3.6%
너 24
 
3.2%
Other values (111) 410
53.9%
Common
ValueCountFrequency (%)
( 32
34.4%
) 32
34.4%
28
30.1%
: 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
84.8%
ASCII 93
 
10.9%
None 37
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 61
 
8.4%
지 38
 
5.3%
에 36
 
5.0%
사 35
 
4.8%
회 34
 
4.7%
식 30
 
4.1%
이 28
 
3.9%
전 27
 
3.7%
너 24
 
3.3%
기 21
 
2.9%
Other values (110) 389
53.8%
None
ValueCountFrequency (%)
㈜ 37
100.0%
ASCII
ValueCountFrequency (%)
( 32
34.4%
) 32
34.4%
28
30.1%
: 1
 
1.1%

전화번호
Text

Distinct74
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-06T17:07:03.462181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.836364
Min length9

Characters and Unicode

Total characters1302
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

Unique50 ?
Unique (%)45.5%

Sample

1st row031-948-1600
2nd row1800-5133
3rd row032-429-6726
4th row053-382-8644
5th row061-383-5110
ValueCountFrequency (%)
054-434-0495 5
 
4.5%
043-231-9779 4
 
3.6%
031-948-1600 3
 
2.7%
070-8864-4132 3
 
2.7%
063-262-0991 3
 
2.7%
055-294-3456 3
 
2.7%
061-383-5110 3
 
2.7%
063-263-1939 3
 
2.7%
070-7302-0125 3
 
2.7%
02-6933-8323 2
 
1.8%
Other values (64) 78
70.9%
2024-04-06T17:07:04.223696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 211
16.2%
0 203
15.6%
3 147
11.3%
4 115
8.8%
2 111
8.5%
5 106
8.1%
1 94
7.2%
6 89
6.8%
9 76
 
5.8%
8 76
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1091
83.8%
Dash Punctuation 211
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
18.6%
3 147
13.5%
4 115
10.5%
2 111
10.2%
5 106
9.7%
1 94
8.6%
6 89
8.2%
9 76
 
7.0%
8 76
 
7.0%
7 74
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 211
16.2%
0 203
15.6%
3 147
11.3%
4 115
8.8%
2 111
8.5%
5 106
8.1%
1 94
7.2%
6 89
6.8%
9 76
 
5.8%
8 76
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 211
16.2%
0 203
15.6%
3 147
11.3%
4 115
8.8%
2 111
8.5%
5 106
8.1%
1 94
7.2%
6 89
6.8%
9 76
 
5.8%
8 76
 
5.8%

지역
Categorical

Distinct17
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
경기
10 
충북
 
7
제주
 
7
경남
 
7
경북
 
7
Other values (12)
72 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row인천
4th row대구
5th row광주

Common Values

ValueCountFrequency (%)
경기 10
 
9.1%
충북 7
 
6.4%
제주 7
 
6.4%
경남 7
 
6.4%
경북 7
 
6.4%
전남 7
 
6.4%
전북 7
 
6.4%
서울 7
 
6.4%
대전 6
 
5.5%
인천 6
 
5.5%
Other values (7) 39
35.5%

Length

2024-04-06T17:07:04.500975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 10
 
9.1%
제주 7
 
6.4%
경남 7
 
6.4%
경북 7
 
6.4%
전남 7
 
6.4%
전북 7
 
6.4%
서울 7
 
6.4%
충북 7
 
6.4%
충남 6
 
5.5%
강원 6
 
5.5%
Other values (7) 39
35.5%

Correlations

2024-04-06T17:07:04.653524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여사업자명협력사명전화번호지역
대여사업자명1.0000.9990.9990.000
협력사명0.9991.0001.0000.000
전화번호0.9991.0001.0000.000
지역0.0000.0000.0001.000
2024-04-06T17:07:04.834510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여사업자명지역
대여사업자명1.0000.000
지역0.0001.000
2024-04-06T17:07:04.985151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여사업자명지역
대여사업자명1.0000.000
지역0.0001.000

Missing values

2024-04-06T17:07:00.967964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:07:01.239099image/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

대여사업자명협력사명전화번호지역
0에너리스(주)대원전설(주)031-948-1600서울
1에너리스(주)(주)한국나이스기술단1800-5133부산
2에너리스(주)화신전력032-429-6726인천
3에너리스(주)㈜티디에스전력053-382-8644대구
4에너리스(주)㈜정우엔지니어링061-383-5110광주
5에너리스(주)(주)태양전기043-231-9779대전
6에너리스(주)(주)한국나이스기술단1800-5133울산
7에너리스(주)대원전설(주)031-948-1600경기
8에너리스(주)대원전설(주)031-948-1600강원
9에너리스(주)(주)태양전기043-231-9779충북
대여사업자명협력사명전화번호지역
100엔라이튼 주식회사현대에코쏠라031-487-3000경기
101엔라이튼 주식회사에타솔라033-748-8501강원
102엔라이튼 주식회사유한회사늘푸른에너지063-263-1939충북
103엔라이튼 주식회사유한회사늘푸른에너지063-263-1939충남
104엔라이튼 주식회사미래이엔지 주식회사053-254-4521전북
105엔라이튼 주식회사미래이엔지 주식회사053-254-4521전남
106엔라이튼 주식회사㈜다쓰테크이엔씨055-294-3456경북
107엔라이튼 주식회사대성쏠라055-633-1009경남
108엔라이튼 주식회사나눔에너지064-745-0420제주
109엔라이튼 주식회사유한회사늘푸른에너지063-263-1939세종