Overview

Dataset statistics

Number of variables7
Number of observations407
Missing cells38
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.4 KiB
Average record size in memory56.3 B

Variable types

Text5
DateTime1
Categorical1

Dataset

Description충청남도 전기(발전)사업 현황으로 허가번호, 발전소명, 상호, 설치장소, 허가일자, 설비용량, 원동력 종류 등을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=385&beforeMenuCd=DOM_000000201001001000&publicdatapk=15032204

Alerts

원동력 is highly imbalanced (88.1%)Imbalance
상호 has 38 (9.3%) missing valuesMissing
허가번호 has unique valuesUnique
발전소명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:50:54.822372
Analysis finished2024-03-13 11:50:55.578144
Duration0.76 seconds
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
2024-03-13T20:50:55.932171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
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%
2022-17 1
 
0.2%
2022-39 1
 
0.2%
2022-38 1
 
0.2%
2022-37 1
 
0.2%
2022-36 1
 
0.2%
2022-35 1
 
0.2%
2022-34 1
 
0.2%
2022-33 1
 
0.2%
2022-32 1
 
0.2%
Other values (397) 397
97.5%
2024-03-13T20:50:56.506996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 651
30.0%
0 288
13.3%
1 242
 
11.2%
3 207
 
9.5%
- 205
 
9.5%
4 106
 
4.9%
5 105
 
4.8%
8 97
 
4.5%
9 92
 
4.2%
6 90
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1963
90.5%
Dash Punctuation 205
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 651
33.2%
0 288
14.7%
1 242
 
12.3%
3 207
 
10.5%
4 106
 
5.4%
5 105
 
5.3%
8 97
 
4.9%
9 92
 
4.7%
6 90
 
4.6%
7 85
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 651
30.0%
0 288
13.3%
1 242
 
11.2%
3 207
 
9.5%
- 205
 
9.5%
4 106
 
4.9%
5 105
 
4.8%
8 97
 
4.5%
9 92
 
4.2%
6 90
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 651
30.0%
0 288
13.3%
1 242
 
11.2%
3 207
 
9.5%
- 205
 
9.5%
4 106
 
4.9%
5 105
 
4.8%
8 97
 
4.5%
9 92
 
4.2%
6 90
 
4.2%

발전소명
Text

UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-13T20:50:57.104197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length12.845209
Min length2

Characters and Unicode

Total characters5228
Distinct characters288
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 222
25.9%
당진 71
 
8.3%
태양광 24
 
2.8%
발전소 20
 
2.3%
1호 10
 
1.2%
수상태양광발전소 8
 
0.9%
2호 8
 
0.9%
대호지솔라파크 8
 
0.9%
신두리 6
 
0.7%
티엠솔라 5
 
0.6%
Other values (436) 475
55.4%
2024-03-13T20:50:57.816992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
593
 
11.3%
350
 
6.7%
337
 
6.4%
337
 
6.4%
314
 
6.0%
302
 
5.8%
301
 
5.8%
190
 
3.6%
137
 
2.6%
134
 
2.6%
Other values (278) 2233
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4175
79.9%
Space Separator 593
 
11.3%
Decimal Number 312
 
6.0%
Other Symbol 63
 
1.2%
Uppercase Letter 38
 
0.7%
Open Punctuation 16
 
0.3%
Close Punctuation 16
 
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 (%)
350
 
8.4%
337
 
8.1%
337
 
8.1%
314
 
7.5%
302
 
7.2%
301
 
7.2%
190
 
4.6%
137
 
3.3%
134
 
3.2%
116
 
2.8%
Other values (241) 1657
39.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.8%
S 5
13.2%
J 4
10.5%
E 4
10.5%
K 4
10.5%
R 3
7.9%
H 3
7.9%
G 2
 
5.3%
Y 2
 
5.3%
N 2
 
5.3%
Other values (3) 3
7.9%
Decimal Number
ValueCountFrequency (%)
1 87
27.9%
2 57
18.3%
3 37
11.9%
5 28
 
9.0%
6 28
 
9.0%
4 26
 
8.3%
0 16
 
5.1%
7 12
 
3.8%
8 11
 
3.5%
9 10
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
t 2
18.2%
p 1
 
9.1%
f 1
 
9.1%
w 1
 
9.1%
a 1
 
9.1%
e 1
 
9.1%
r 1
 
9.1%
Space Separator
ValueCountFrequency (%)
593
100.0%
Other Symbol
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4238
81.1%
Common 941
 
18.0%
Latin 49
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
350
 
8.3%
337
 
8.0%
337
 
8.0%
314
 
7.4%
302
 
7.1%
301
 
7.1%
190
 
4.5%
137
 
3.2%
134
 
3.2%
116
 
2.7%
Other values (242) 1720
40.6%
Latin
ValueCountFrequency (%)
C 6
12.2%
S 5
 
10.2%
J 4
 
8.2%
E 4
 
8.2%
K 4
 
8.2%
R 3
 
6.1%
H 3
 
6.1%
o 3
 
6.1%
G 2
 
4.1%
Y 2
 
4.1%
Other values (11) 13
26.5%
Common
ValueCountFrequency (%)
593
63.0%
1 87
 
9.2%
2 57
 
6.1%
3 37
 
3.9%
5 28
 
3.0%
6 28
 
3.0%
4 26
 
2.8%
0 16
 
1.7%
( 16
 
1.7%
) 16
 
1.7%
Other values (5) 37
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4175
79.9%
ASCII 990
 
18.9%
None 63
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
593
59.9%
1 87
 
8.8%
2 57
 
5.8%
3 37
 
3.7%
5 28
 
2.8%
6 28
 
2.8%
4 26
 
2.6%
0 16
 
1.6%
( 16
 
1.6%
) 16
 
1.6%
Other values (26) 86
 
8.7%
Hangul
ValueCountFrequency (%)
350
 
8.4%
337
 
8.1%
337
 
8.1%
314
 
7.5%
302
 
7.2%
301
 
7.2%
190
 
4.6%
137
 
3.3%
134
 
3.2%
116
 
2.8%
Other values (241) 1657
39.7%
None
ValueCountFrequency (%)
63
100.0%

상호
Text

MISSING 

Distinct240
Distinct (%)65.0%
Missing38
Missing (%)9.3%
Memory size3.3 KiB
2024-03-13T20:50:58.128621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.0650407
Min length3

Characters and Unicode

Total characters2976
Distinct characters220
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

Unique205 ?
Unique (%)55.6%

Sample

1st row(주)청풍에너지
2nd row한국서부발전㈜
3rd row한국중부발전㈜
4th row태안솔라팜㈜
5th row한국수자원공사
ValueCountFrequency (%)
주)해봄에너지 45
 
11.6%
㈜해봄에너지 25
 
6.4%
한국농어촌공사 9
 
2.3%
대호지솔라파크㈜ 8
 
2.1%
주)비가코리아충남 6
 
1.5%
아산지사 6
 
1.5%
㈜비가코리아태안 5
 
1.3%
티엠솔라원㈜ 5
 
1.3%
주식회사 5
 
1.3%
당진태양광개발송산㈜ 4
 
1.0%
Other values (233) 271
69.7%
2024-03-13T20:50:58.752976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
8.7%
176
 
5.9%
171
 
5.7%
160
 
5.4%
147
 
4.9%
( 92
 
3.1%
) 92
 
3.1%
92
 
3.1%
74
 
2.5%
73
 
2.5%
Other values (210) 1641
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2288
76.9%
Other Symbol 258
 
8.7%
Space Separator 160
 
5.4%
Open Punctuation 92
 
3.1%
Close Punctuation 92
 
3.1%
Decimal Number 83
 
2.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
176
 
7.7%
171
 
7.5%
147
 
6.4%
92
 
4.0%
74
 
3.2%
73
 
3.2%
70
 
3.1%
67
 
2.9%
66
 
2.9%
58
 
2.5%
Other values (193) 1294
56.6%
Decimal Number
ValueCountFrequency (%)
1 33
39.8%
2 11
 
13.3%
0 9
 
10.8%
3 8
 
9.6%
6 6
 
7.2%
5 4
 
4.8%
8 3
 
3.6%
4 3
 
3.6%
7 3
 
3.6%
9 3
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
O 1
33.3%
Other Symbol
ValueCountFrequency (%)
258
100.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2546
85.6%
Common 427
 
14.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
258
 
10.1%
176
 
6.9%
171
 
6.7%
147
 
5.8%
92
 
3.6%
74
 
2.9%
73
 
2.9%
70
 
2.7%
67
 
2.6%
66
 
2.6%
Other values (194) 1352
53.1%
Common
ValueCountFrequency (%)
160
37.5%
( 92
21.5%
) 92
21.5%
1 33
 
7.7%
2 11
 
2.6%
0 9
 
2.1%
3 8
 
1.9%
6 6
 
1.4%
5 4
 
0.9%
8 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 2288
76.9%
ASCII 430
 
14.4%
None 258
 
8.7%

Most frequent character per block

None
ValueCountFrequency (%)
258
100.0%
Hangul
ValueCountFrequency (%)
176
 
7.7%
171
 
7.5%
147
 
6.4%
92
 
4.0%
74
 
3.2%
73
 
3.2%
70
 
3.1%
67
 
2.9%
66
 
2.9%
58
 
2.5%
Other values (193) 1294
56.6%
ASCII
ValueCountFrequency (%)
160
37.2%
( 92
21.4%
) 92
21.4%
1 33
 
7.7%
2 11
 
2.6%
0 9
 
2.1%
3 8
 
1.9%
6 6
 
1.4%
5 4
 
0.9%
8 3
 
0.7%
Other values (6) 12
 
2.8%
Distinct380
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-13T20:50:59.311726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length84
Mean length37.90172
Min length14

Characters and Unicode

Total characters15426
Distinct characters180
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

Unique363 ?
Unique (%)89.2%

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 158
 
5.1%
154
 
5.0%
153
 
4.9%
부지 120
 
3.9%
대호지면 79
 
2.5%
적서리 78
 
2.5%
태안군 77
 
2.5%
서산시 64
 
2.1%
1필지 45
 
1.4%
2필지 40
 
1.3%
Other values (1355) 2142
68.9%
2024-03-13T20:50:59.907461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2853
18.5%
1 1338
 
8.7%
, 836
 
5.4%
2 798
 
5.2%
- 708
 
4.6%
572
 
3.7%
3 499
 
3.2%
4 446
 
2.9%
406
 
2.6%
7 403
 
2.6%
Other values (170) 6567
42.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5217
33.8%
Other Letter 5046
32.7%
Space Separator 2853
18.5%
Other Punctuation 990
 
6.4%
Dash Punctuation 708
 
4.6%
Open Punctuation 306
 
2.0%
Close Punctuation 306
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
572
 
11.3%
406
 
8.0%
342
 
6.8%
340
 
6.7%
299
 
5.9%
222
 
4.4%
168
 
3.3%
167
 
3.3%
160
 
3.2%
154
 
3.1%
Other values (154) 2216
43.9%
Decimal Number
ValueCountFrequency (%)
1 1338
25.6%
2 798
15.3%
3 499
 
9.6%
4 446
 
8.5%
7 403
 
7.7%
0 377
 
7.2%
5 352
 
6.7%
6 348
 
6.7%
9 331
 
6.3%
8 325
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 836
84.4%
/ 154
 
15.6%
Space Separator
ValueCountFrequency (%)
2853
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 708
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10380
67.3%
Hangul 5046
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
572
 
11.3%
406
 
8.0%
342
 
6.8%
340
 
6.7%
299
 
5.9%
222
 
4.4%
168
 
3.3%
167
 
3.3%
160
 
3.2%
154
 
3.1%
Other values (154) 2216
43.9%
Common
ValueCountFrequency (%)
2853
27.5%
1 1338
12.9%
, 836
 
8.1%
2 798
 
7.7%
- 708
 
6.8%
3 499
 
4.8%
4 446
 
4.3%
7 403
 
3.9%
0 377
 
3.6%
5 352
 
3.4%
Other values (6) 1770
17.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10380
67.3%
Hangul 5046
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2853
27.5%
1 1338
12.9%
, 836
 
8.1%
2 798
 
7.7%
- 708
 
6.8%
3 499
 
4.8%
4 446
 
4.3%
7 403
 
3.9%
0 377
 
3.6%
5 352
 
3.4%
Other values (6) 1770
17.1%
Hangul
ValueCountFrequency (%)
572
 
11.3%
406
 
8.0%
342
 
6.8%
340
 
6.7%
299
 
5.9%
222
 
4.4%
168
 
3.3%
167
 
3.3%
160
 
3.2%
154
 
3.1%
Other values (154) 2216
43.9%
Distinct187
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1986-08-05 00:00:00
Maximum2023-12-26 00:00:00
2024-03-13T20:51:00.153926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:00.294251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct249
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-13T20:51:00.637532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.5307125
Min length4

Characters and Unicode

Total characters2658
Distinct characters12
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

Unique202 ?
Unique (%)49.6%

Sample

1st row2120
2nd row2200
3rd row1200
4th row1614
5th row2640
ValueCountFrequency (%)
1016.16 26
 
6.4%
1,016.16 22
 
5.4%
1809.6 13
 
3.2%
2954.8 7
 
1.7%
1500 7
 
1.7%
2004 6
 
1.5%
2,992.80 6
 
1.5%
2,449.92 6
 
1.5%
2547.36 6
 
1.5%
2999.76 5
 
1.2%
Other values (239) 303
74.4%
2024-03-13T20:51:01.135657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 360
13.5%
. 333
12.5%
0 328
12.3%
2 327
12.3%
9 281
10.6%
6 255
9.6%
8 157
5.9%
4 157
5.9%
5 126
 
4.7%
7 121
 
4.6%
Other values (2) 213
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2215
83.3%
Other Punctuation 443
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 360
16.3%
0 328
14.8%
2 327
14.8%
9 281
12.7%
6 255
11.5%
8 157
7.1%
4 157
7.1%
5 126
 
5.7%
7 121
 
5.5%
3 103
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 333
75.2%
, 110
 
24.8%

Most occurring scripts

ValueCountFrequency (%)
Common 2658
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 360
13.5%
. 333
12.5%
0 328
12.3%
2 327
12.3%
9 281
10.6%
6 255
9.6%
8 157
5.9%
4 157
5.9%
5 126
 
4.7%
7 121
 
4.6%
Other values (2) 213
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 360
13.5%
. 333
12.5%
0 328
12.3%
2 327
12.3%
9 281
10.6%
6 255
9.6%
8 157
5.9%
4 157
5.9%
5 126
 
4.7%
7 121
 
4.6%
Other values (2) 213
8.0%

원동력
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
태양광
391 
폐기물
 
4
바이오
 
4
소수력
 
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 391
96.1%
폐기물 4
 
1.0%
바이오 4
 
1.0%
소수력 3
 
0.7%
연료전지 3
 
0.7%
풍력 1
 
0.2%
열분해가스 1
 
0.2%

Length

2024-03-13T20:51:01.316738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:51:01.433055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 391
96.1%
폐기물 4
 
1.0%
바이오 4
 
1.0%
소수력 3
 
0.7%
연료전지 3
 
0.7%
풍력 1
 
0.2%
열분해가스 1
 
0.2%

Missing values

2024-03-13T20:50:55.312626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:50:55.495272image/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
3972023-81신동1호 태양광발전소㈜신동리일구마을회아산시 선장면 신동리 28, 28-12, 29, 29-1, 29-2, 29-3, 30-1, 30-2, 30-4, 30-6, 31, 59 (12필지) / 부지 위2023-11-222,998.32태양광
3982023-82당진 솔라빌리지68호 태양광발전소㈜해봄에너지당진시 대호지면 적서리 1235, 1236 (2필지) / 부지 위2023-11-281,016.16태양광
3992023-83당진 솔라빌리지69호 태양광발전소㈜해봄에너지당진시 대호지면 적서리 1457(1필지) / 부지 위2023-11-281,016.16태양광
4002023-84당진 솔라빌리지70호 태양광발전소㈜해봄에너지당진시 대호지면 적서리 1478, 1479(2필지) / 부지 위2023-11-281,016.16태양광
4012023-85한전쏠라100-1 태양광발전소한전쏠라100 주식회사당진시 석문면 교로리 1204,1213,1214 (3필지) / 부지 위2023-12-122,526.48태양광
4022023-86한전쏠라101 태양광발전소한전쏠라101 주식회사당진시 석문면 교로리 1210,1211,1212 (3필지) / 부지 위2023-12-122,637.84태양광
4032023-87한전쏠라102 태양광발전소한전쏠라102 주식회사당진시 석문면 교로리 1205,1206,1207 (3필지) / 부지 위2023-12-122,651.76태양광
4042023-88한전쏠라103 태양광발전소한전쏠라103 주식회사당진시 석문면 교로리 1200,1201,1202 (3필지) / 부지 위2023-12-122,651.76태양광
4052023-89아산시 회룡리 연료전지발전소㈜제이에스이엔지아산시 배방읍 회룡리 324, 325번지 / 부지 위2023-12-132,970.00연료전지
4062023-90㈜삼신 1공장 태양광발전소한국동서발전㈜천안시 서북구 입장면 도림리 122, 124-4, 129, 131, 134-1, 136-1, 136-7, 136-8, 358-6 (9필지) / 건물 위2023-12-261,100.00태양광