Overview

Dataset statistics

Number of variables7
Number of observations407
Missing cells30
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.8 KiB
Average record size in memory57.3 B

Variable types

Text4
DateTime1
Numeric1
Categorical1

Dataset

Description충청남도 전기(발전)사업 현황으로 허가번호, 발전소명, 상호, 설치장소, 허가일자, 설비용량, 원동력 종류 등을 제공합니다.
Author충청남도
URLhttps://www.data.go.kr/data/15032204/fileData.do

Alerts

원동력 is highly imbalanced (88.7%)Imbalance
상호 has 30 (7.4%) missing valuesMissing
허가번호 has unique valuesUnique
발전소명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:04:12.649779
Analysis finished2024-04-21 01:04:14.255265
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T10:04:14.496115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length5.3267813
Min length1

Characters and Unicode

Total characters2168
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

Unique407 ?
Unique (%)100.0%

Sample

1st row1
2nd row4
3rd row29
4th row132
5th row421
ValueCountFrequency (%)
1 1
 
0.2%
2022-13 1
 
0.2%
2022-35 1
 
0.2%
2022-34 1
 
0.2%
2022-33 1
 
0.2%
2022-32 1
 
0.2%
2022-31 1
 
0.2%
2022-30 1
 
0.2%
2022-29 1
 
0.2%
2022-28 1
 
0.2%
Other values (397) 397
97.5%
2024-04-21T10:04:14.896394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 630
29.1%
0 308
14.2%
1 251
 
11.6%
3 206
 
9.5%
- 199
 
9.2%
4 108
 
5.0%
5 103
 
4.8%
8 100
 
4.6%
9 91
 
4.2%
6 87
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1969
90.8%
Dash Punctuation 199
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 630
32.0%
0 308
15.6%
1 251
 
12.7%
3 206
 
10.5%
4 108
 
5.5%
5 103
 
5.2%
8 100
 
5.1%
9 91
 
4.6%
6 87
 
4.4%
7 85
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 630
29.1%
0 308
14.2%
1 251
 
11.6%
3 206
 
9.5%
- 199
 
9.2%
4 108
 
5.0%
5 103
 
4.8%
8 100
 
4.6%
9 91
 
4.2%
6 87
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 630
29.1%
0 308
14.2%
1 251
 
11.6%
3 206
 
9.5%
- 199
 
9.2%
4 108
 
5.0%
5 103
 
4.8%
8 100
 
4.6%
9 91
 
4.2%
6 87
 
4.0%

발전소명
Text

UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T10:04:15.272979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length12.808354
Min length2

Characters and Unicode

Total characters5213
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)100.0%

Sample

1st row(주)청풍에너지 소수력발전소
2nd row태안발전본부 소수력 발전소
3rd row서천화력 태양광
4th row태안솔라팜
5th row백제보 소수력
ValueCountFrequency (%)
태양광발전소 219
25.6%
당진 71
 
8.3%
태양광 28
 
3.3%
발전소 21
 
2.5%
1호 9
 
1.1%
2호 8
 
0.9%
대호지솔라파크 8
 
0.9%
수상태양광발전소 7
 
0.8%
신두리 6
 
0.7%
티엠솔라 5
 
0.6%
Other values (436) 474
55.4%
2024-04-21T10:04:15.734883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
 
11.1%
태 350
 
6.7%
양 338
 
6.5%
광 338
 
6.5%
전 311
 
6.0%
발 299
 
5.7%
소 298
 
5.7%
호 190
 
3.6%
라 141
 
2.7%
지 133
 
2.6%
Other values (272) 2238
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4178
80.1%
Space Separator 577
 
11.1%
Decimal Number 308
 
5.9%
Other Symbol 63
 
1.2%
Uppercase Letter 38
 
0.7%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Lowercase Letter 11
 
0.2%
Dash Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
태 350
 
8.4%
양 338
 
8.1%
광 338
 
8.1%
전 311
 
7.4%
발 299
 
7.2%
소 298
 
7.1%
호 190
 
4.5%
라 141
 
3.4%
지 133
 
3.2%
솔 119
 
2.8%
Other values (235) 1661
39.8%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.8%
S 5
13.2%
K 4
10.5%
E 4
10.5%
J 4
10.5%
R 3
7.9%
H 3
7.9%
Y 2
 
5.3%
N 2
 
5.3%
G 2
 
5.3%
Other values (3) 3
7.9%
Decimal Number
ValueCountFrequency (%)
1 82
26.6%
2 57
18.5%
3 37
12.0%
5 28
 
9.1%
6 28
 
9.1%
4 27
 
8.8%
0 16
 
5.2%
7 12
 
3.9%
8 11
 
3.6%
9 10
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
t 2
18.2%
f 1
 
9.1%
p 1
 
9.1%
a 1
 
9.1%
r 1
 
9.1%
e 1
 
9.1%
w 1
 
9.1%
Space Separator
ValueCountFrequency (%)
577
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4241
81.4%
Common 923
 
17.7%
Latin 49
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
태 350
 
8.3%
양 338
 
8.0%
광 338
 
8.0%
전 311
 
7.3%
발 299
 
7.1%
소 298
 
7.0%
호 190
 
4.5%
라 141
 
3.3%
지 133
 
3.1%
솔 119
 
2.8%
Other values (236) 1724
40.7%
Latin
ValueCountFrequency (%)
C 6
12.2%
S 5
 
10.2%
K 4
 
8.2%
E 4
 
8.2%
J 4
 
8.2%
R 3
 
6.1%
o 3
 
6.1%
H 3
 
6.1%
Y 2
 
4.1%
N 2
 
4.1%
Other values (11) 13
26.5%
Common
ValueCountFrequency (%)
577
62.5%
1 82
 
8.9%
2 57
 
6.2%
3 37
 
4.0%
5 28
 
3.0%
6 28
 
3.0%
4 27
 
2.9%
( 17
 
1.8%
) 17
 
1.8%
0 16
 
1.7%
Other values (5) 37
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4178
80.1%
ASCII 972
 
18.6%
None 63
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
59.4%
1 82
 
8.4%
2 57
 
5.9%
3 37
 
3.8%
5 28
 
2.9%
6 28
 
2.9%
4 27
 
2.8%
( 17
 
1.7%
) 17
 
1.7%
0 16
 
1.6%
Other values (26) 86
 
8.8%
Hangul
ValueCountFrequency (%)
태 350
 
8.4%
양 338
 
8.1%
광 338
 
8.1%
전 311
 
7.4%
발 299
 
7.2%
소 298
 
7.1%
호 190
 
4.5%
라 141
 
3.4%
지 133
 
3.2%
솔 119
 
2.8%
Other values (235) 1661
39.8%
None
ValueCountFrequency (%)
㈜ 63
100.0%

상호
Text

MISSING 

Distinct250
Distinct (%)66.3%
Missing30
Missing (%)7.4%
Memory size3.3 KiB
2024-04-21T10:04:15.949855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length8.198939
Min length3

Characters and Unicode

Total characters3091
Distinct characters227
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)57.3%

Sample

1st row(주)청풍에너지
2nd row한국서부발전㈜
3rd row한국중부발전㈜
4th row태안솔라팜㈜
5th row한국수자원공사
ValueCountFrequency (%)
주)해봄에너지 45
 
11.4%
㈜해봄에너지 25
 
6.3%
대호지솔라파크㈜ 8
 
2.0%
한국농어촌공사 8
 
2.0%
아산지사 6
 
1.5%
주)비가코리아충남 6
 
1.5%
주식회사 6
 
1.5%
티엠솔라원㈜ 5
 
1.3%
㈜비가코리아태안 5
 
1.3%
당진태양광개발송산㈜ 4
 
1.0%
Other values (240) 278
70.2%
2024-04-21T10:04:16.274375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 260
 
8.4%
에 180
 
5.8%
지 174
 
5.6%
너 150
 
4.9%
146
 
4.7%
( 97
 
3.1%
주 97
 
3.1%
) 97
 
3.1%
라 80
 
2.6%
해 74
 
2.4%
Other values (217) 1736
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2404
77.8%
Other Symbol 260
 
8.4%
Space Separator 146
 
4.7%
Open Punctuation 97
 
3.1%
Close Punctuation 97
 
3.1%
Decimal Number 84
 
2.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 180
 
7.5%
지 174
 
7.2%
너 150
 
6.2%
주 97
 
4.0%
라 80
 
3.3%
해 74
 
3.1%
전 74
 
3.1%
태 72
 
3.0%
봄 70
 
2.9%
양 65
 
2.7%
Other values (200) 1368
56.9%
Decimal Number
ValueCountFrequency (%)
1 31
36.9%
2 11
 
13.1%
0 9
 
10.7%
3 8
 
9.5%
6 7
 
8.3%
5 6
 
7.1%
4 3
 
3.6%
8 3
 
3.6%
9 3
 
3.6%
7 3
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
O 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 260
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2664
86.2%
Common 424
 
13.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 260
 
9.8%
에 180
 
6.8%
지 174
 
6.5%
너 150
 
5.6%
주 97
 
3.6%
라 80
 
3.0%
해 74
 
2.8%
전 74
 
2.8%
태 72
 
2.7%
봄 70
 
2.6%
Other values (201) 1433
53.8%
Common
ValueCountFrequency (%)
146
34.4%
( 97
22.9%
) 97
22.9%
1 31
 
7.3%
2 11
 
2.6%
0 9
 
2.1%
3 8
 
1.9%
6 7
 
1.7%
5 6
 
1.4%
4 3
 
0.7%
Other values (3) 9
 
2.1%
Latin
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2404
77.8%
ASCII 427
 
13.8%
None 260
 
8.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 260
100.0%
Hangul
ValueCountFrequency (%)
에 180
 
7.5%
지 174
 
7.2%
너 150
 
6.2%
주 97
 
4.0%
라 80
 
3.3%
해 74
 
3.1%
전 74
 
3.1%
태 72
 
3.0%
봄 70
 
2.9%
양 65
 
2.7%
Other values (200) 1368
56.9%
ASCII
ValueCountFrequency (%)
146
34.2%
( 97
22.7%
) 97
22.7%
1 31
 
7.3%
2 11
 
2.6%
0 9
 
2.1%
3 8
 
1.9%
6 7
 
1.6%
5 6
 
1.4%
4 3
 
0.7%
Other values (6) 12
 
2.8%

설치장소
Text

Distinct382
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-21T10:04:16.513525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length84
Mean length37.484029
Min length14

Characters and Unicode

Total characters15256
Distinct characters186
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique365 ?
Unique (%)89.7%

Sample

1st row금산군 부리면 방우리 258-90
2nd row태안군 원북면 방갈리 831
3rd row서천군 서면 마량리 313-2
4th row태안군 소원면 소근리 산29-1
5th row부여군 부여읍 자왕리 601
ValueCountFrequency (%)
당진시 155
 
5.0%
147
 
4.8%
위 147
 
4.8%
부지 113
 
3.7%
대호지면 79
 
2.6%
적서리 78
 
2.5%
태안군 73
 
2.4%
서산시 65
 
2.1%
1필지 42
 
1.4%
2필지 41
 
1.3%
Other values (1350) 2135
69.4%
2024-04-21T10:04:16.909558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2804
18.4%
1 1303
 
8.5%
, 817
 
5.4%
2 751
 
4.9%
- 681
 
4.5%
지 570
 
3.7%
3 506
 
3.3%
4 446
 
2.9%
7 406
 
2.7%
리 406
 
2.7%
Other values (176) 6566
43.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5131
33.6%
Other Letter 5061
33.2%
Space Separator 2804
18.4%
Other Punctuation 965
 
6.3%
Dash Punctuation 681
 
4.5%
Close Punctuation 307
 
2.0%
Open Punctuation 307
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 570
 
11.3%
리 406
 
8.0%
필 342
 
6.8%
면 341
 
6.7%
시 300
 
5.9%
산 227
 
4.5%
당 166
 
3.3%
진 163
 
3.2%
서 159
 
3.1%
위 154
 
3.0%
Other values (160) 2233
44.1%
Decimal Number
ValueCountFrequency (%)
1 1303
25.4%
2 751
14.6%
3 506
 
9.9%
4 446
 
8.7%
7 406
 
7.9%
0 368
 
7.2%
5 353
 
6.9%
6 340
 
6.6%
9 335
 
6.5%
8 323
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 817
84.7%
/ 148
 
15.3%
Space Separator
ValueCountFrequency (%)
2804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 681
100.0%
Close Punctuation
ValueCountFrequency (%)
) 307
100.0%
Open Punctuation
ValueCountFrequency (%)
( 307
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10195
66.8%
Hangul 5061
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 570
 
11.3%
리 406
 
8.0%
필 342
 
6.8%
면 341
 
6.7%
시 300
 
5.9%
산 227
 
4.5%
당 166
 
3.3%
진 163
 
3.2%
서 159
 
3.1%
위 154
 
3.0%
Other values (160) 2233
44.1%
Common
ValueCountFrequency (%)
2804
27.5%
1 1303
12.8%
, 817
 
8.0%
2 751
 
7.4%
- 681
 
6.7%
3 506
 
5.0%
4 446
 
4.4%
7 406
 
4.0%
0 368
 
3.6%
5 353
 
3.5%
Other values (6) 1760
17.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10195
66.8%
Hangul 5061
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2804
27.5%
1 1303
12.8%
, 817
 
8.0%
2 751
 
7.4%
- 681
 
6.7%
3 506
 
5.0%
4 446
 
4.4%
7 406
 
4.0%
0 368
 
3.6%
5 353
 
3.5%
Other values (6) 1760
17.3%
Hangul
ValueCountFrequency (%)
지 570
 
11.3%
리 406
 
8.0%
필 342
 
6.8%
면 341
 
6.7%
시 300
 
5.9%
산 227
 
4.5%
당 166
 
3.3%
진 163
 
3.2%
서 159
 
3.1%
위 154
 
3.0%
Other values (160) 2233
44.1%

사업허가일자
Date

Distinct189
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1986-08-05 00:00:00
Maximum2024-03-25 00:00:00
2024-04-21T10:04:17.045369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:04:17.163573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가용량(키로와트)
Real number (ℝ)

Distinct208
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2062.8943
Minimum1005
Maximum3004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T10:04:17.276808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1005
5-th percentile1016
Q11500
median2005
Q32646
95-th percentile2999
Maximum3004
Range1999
Interquartile range (IQR)1146

Descriptive statistics

Standard deviation665.82021
Coefficient of variation (CV)0.32276021
Kurtosis-1.1912068
Mean2062.8943
Median Absolute Deviation (MAD)542
Skewness-0.10834581
Sum839598
Variance443316.55
MonotonicityNot monotonic
2024-04-21T10:04:17.427168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1016 48
 
11.8%
1810 15
 
3.7%
3000 13
 
3.2%
2999 9
 
2.2%
2000 9
 
2.2%
1500 8
 
2.0%
2450 8
 
2.0%
2547 7
 
1.7%
2955 7
 
1.7%
2004 7
 
1.7%
Other values (198) 276
67.8%
ValueCountFrequency (%)
1005 1
 
0.2%
1016 48
11.8%
1035 1
 
0.2%
1037 1
 
0.2%
1044 1
 
0.2%
1064 1
 
0.2%
1096 1
 
0.2%
1100 1
 
0.2%
1135 2
 
0.5%
1152 1
 
0.2%
ValueCountFrequency (%)
3004 1
 
0.2%
3000 13
3.2%
2999 9
2.2%
2998 1
 
0.2%
2997 5
 
1.2%
2996 2
 
0.5%
2995 6
1.5%
2994 4
 
1.0%
2993 6
1.5%
2990 2
 
0.5%

원동력
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
태양광
392 
폐기물
 
4
소수력
 
3
바이오
 
3
연료전지
 
3
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.009828
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row소수력
2nd row소수력
3rd row태양광
4th row태양광
5th row태양광

Common Values

ValueCountFrequency (%)
태양광 392
96.3%
폐기물 4
 
1.0%
소수력 3
 
0.7%
바이오 3
 
0.7%
연료전지 3
 
0.7%
풍력 1
 
0.2%
열분해가스 1
 
0.2%

Length

2024-04-21T10:04:17.555248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:04:17.654551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 392
96.3%
폐기물 4
 
1.0%
소수력 3
 
0.7%
바이오 3
 
0.7%
연료전지 3
 
0.7%
풍력 1
 
0.2%
열분해가스 1
 
0.2%

Interactions

2024-04-21T10:04:13.948412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:04:17.740790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가용량(키로와트)원동력
허가용량(키로와트)1.0000.054
원동력0.0541.000
2024-04-21T10:04:17.827174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가용량(키로와트)원동력
허가용량(키로와트)1.0000.027
원동력0.0271.000

Missing values

2024-04-21T10:04:14.113713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:04:14.211248image/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

허가번호발전소명상호설치장소사업허가일자허가용량(키로와트)원동력
01(주)청풍에너지 소수력발전소(주)청풍에너지금산군 부리면 방우리 258-901986-08-052120소수력
14태안발전본부 소수력 발전소한국서부발전㈜태안군 원북면 방갈리 8312005-03-052200소수력
229서천화력 태양광한국중부발전㈜서천군 서면 마량리 313-22007-02-211200태양광
3132태안솔라팜태안솔라팜㈜태안군 소원면 소근리 산29-12008-03-121614태양광
4421백제보 소수력한국수자원공사부여군 부여읍 자왕리 6012010-03-292640태양광
5439공주보 소수력한국수자원공사공주시 우성면 평목리 872010-09-173000소수력
6485한국동서발전㈜당진군매립시설한국동서발전㈜당진시 송산면 가곡리 4992011-04-211311태양광
7496㈜케이씨씨대죽2공장㈜케이씨씨 본부영업소서산시 대산읍 대죽리 11-62011-12-221590태양광
8502동부당진솔라㈜동부당진솔라㈜당진시 송악읍 고대리 333-22012-02-083004태양광
9524안면도태양광발전소㈜안면도태양광발전소㈜태안군 안면읍 정당리 1130-302012-04-102100태양광
허가번호발전소명상호설치장소사업허가일자허가용량(키로와트)원동력
3972023-84당진 솔라빌리지70호 태양광발전소㈜해봄에너지당진시 대호지면 적서리 1478, 1479(2필지) / 부지 위2023-11-281016태양광
3982023-85한전쏠라100-1 태양광발전소한전쏠라100 주식회사당진시 석문면 교로리 1204,1213,1214 (3필지) / 부지 위2023-12-122526태양광
3992023-86한전쏠라101 태양광발전소한전쏠라101 주식회사당진시 석문면 교로리 1210,1211,1212 (3필지) / 부지 위2023-12-122638태양광
4002023-87한전쏠라102 태양광발전소한전쏠라102 주식회사당진시 석문면 교로리 1205,1206,1207 (3필지) / 부지 위2023-12-122652태양광
4012023-88한전쏠라103 태양광발전소한전쏠라103 주식회사당진시 석문면 교로리 1200,1201,1202 (3필지) / 부지 위2023-12-122652태양광
4022023-89아산시 회룡리 연료전지발전소㈜제이에스이엔지아산시 배방읍 회룡리 324, 325번지 / 부지 위2023-12-132970연료전지
4032023-90㈜삼신 1공장 태양광발전소한국동서발전㈜천안시 서북구 입장면 도림리 122, 124-4, 129, 131, 134-1, 136-1, 136-7, 136-8, 358-6 (9필지) / 건물 위2023-12-261100태양광
4042024-01서천공주3호 태양광 발전소㈜중부하이웨이솔라원청양군 목면 안심리 799-13, 799-4, 831-5, 798-3, 798-4, 799-14, 798-5, 836-1, 831-4, 797-4, 797-5, 797-6 (12필지) / 토지 위2024-01-301096태양광
4052024-02아산동성 태양광발전소지아이티솔라㈜아산시 둔포면 관대안길 45(도로명)/ 토지 및 건물 위2024-03-121199태양광
4062024-03에이치그린솔라 태양광발전소㈜에이치그린솔라서산시 지곡면 화천리 1456, 무장리 1838 / (현대트랜시스 지곡 1,3공장 건물 위)2024-03-252728태양광