Overview

Dataset statistics

Number of variables7
Number of observations414
Missing cells53
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.8 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 (88.9%)Imbalance
상호 has 53 (12.8%) missing valuesMissing
허가번호 has unique valuesUnique
발전소명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:50:47.271848
Analysis finished2024-03-13 11:50:47.960322
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-13T20:50:48.324892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.031401
Min length1

Characters and Unicode

Total characters2083
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

Unique414 ?
Unique (%)100.0%

Sample

1st row1
2nd row4
3rd row29
4th row132
5th row421
ValueCountFrequency (%)
1 1
 
0.2%
2021-76 1
 
0.2%
2021-86 1
 
0.2%
2021-85 1
 
0.2%
2021-84 1
 
0.2%
2021-83 1
 
0.2%
2021-82 1
 
0.2%
2021-81 1
 
0.2%
2021-80 1
 
0.2%
2021-79 1
 
0.2%
Other values (404) 404
97.6%
2024-03-13T20:50:48.977473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 596
28.6%
1 282
13.5%
0 273
13.1%
3 176
 
8.4%
- 168
 
8.1%
4 113
 
5.4%
9 106
 
5.1%
5 104
 
5.0%
8 94
 
4.5%
6 91
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1915
91.9%
Dash Punctuation 168
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 596
31.1%
1 282
14.7%
0 273
14.3%
3 176
 
9.2%
4 113
 
5.9%
9 106
 
5.5%
5 104
 
5.4%
8 94
 
4.9%
6 91
 
4.8%
7 80
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2083
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 596
28.6%
1 282
13.5%
0 273
13.1%
3 176
 
8.4%
- 168
 
8.1%
4 113
 
5.4%
9 106
 
5.1%
5 104
 
5.0%
8 94
 
4.5%
6 91
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 596
28.6%
1 282
13.5%
0 273
13.1%
3 176
 
8.4%
- 168
 
8.1%
4 113
 
5.4%
9 106
 
5.1%
5 104
 
5.0%
8 94
 
4.5%
6 91
 
4.4%

발전소명
Text

UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-13T20:50:49.468327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length12.644928
Min length2

Characters and Unicode

Total characters5235
Distinct characters290
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

Unique414 ?
Unique (%)100.0%

Sample

1st row(주)청풍에너지 소수력발전소
2nd row태안발전본부 소수력 발전소
3rd row서천화력 태양광
4th row태안솔라팜
5th row백제보 소수력
ValueCountFrequency (%)
태양광발전소 214
24.8%
당진 68
 
7.9%
태양광 32
 
3.7%
발전소 20
 
2.3%
수상태양광발전소 14
 
1.6%
대호지솔라파크 8
 
0.9%
1호 7
 
0.8%
2호 6
 
0.7%
신두리 6
 
0.7%
티엠솔라 5
 
0.6%
Other values (446) 482
55.9%
2024-03-13T20:50:50.116312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
593
 
11.3%
356
 
6.8%
342
 
6.5%
342
 
6.5%
307
 
5.9%
298
 
5.7%
296
 
5.7%
183
 
3.5%
136
 
2.6%
134
 
2.6%
Other values (280) 2248
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4208
80.4%
Space Separator 593
 
11.3%
Decimal Number 279
 
5.3%
Other Symbol 67
 
1.3%
Uppercase Letter 38
 
0.7%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Lowercase Letter 13
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
356
 
8.5%
342
 
8.1%
342
 
8.1%
307
 
7.3%
298
 
7.1%
296
 
7.0%
183
 
4.3%
136
 
3.2%
134
 
3.2%
119
 
2.8%
Other values (241) 1695
40.3%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.8%
S 5
13.2%
E 4
10.5%
J 4
10.5%
K 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 77
27.6%
2 52
18.6%
3 33
11.8%
5 26
 
9.3%
6 25
 
9.0%
4 25
 
9.0%
8 11
 
3.9%
7 11
 
3.9%
0 10
 
3.6%
9 9
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
t 2
15.4%
p 1
 
7.7%
f 1
 
7.7%
w 1
 
7.7%
a 1
 
7.7%
k 1
 
7.7%
h 1
 
7.7%
e 1
 
7.7%
r 1
 
7.7%
Space Separator
ValueCountFrequency (%)
593
100.0%
Other Symbol
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4275
81.7%
Common 909
 
17.4%
Latin 51
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
356
 
8.3%
342
 
8.0%
342
 
8.0%
307
 
7.2%
298
 
7.0%
296
 
6.9%
183
 
4.3%
136
 
3.2%
134
 
3.1%
119
 
2.8%
Other values (242) 1762
41.2%
Latin
ValueCountFrequency (%)
C 6
 
11.8%
S 5
 
9.8%
E 4
 
7.8%
J 4
 
7.8%
K 4
 
7.8%
R 3
 
5.9%
H 3
 
5.9%
o 3
 
5.9%
Y 2
 
3.9%
N 2
 
3.9%
Other values (13) 15
29.4%
Common
ValueCountFrequency (%)
593
65.2%
1 77
 
8.5%
2 52
 
5.7%
3 33
 
3.6%
5 26
 
2.9%
6 25
 
2.8%
4 25
 
2.8%
( 17
 
1.9%
) 17
 
1.9%
8 11
 
1.2%
Other values (5) 33
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4208
80.4%
ASCII 960
 
18.3%
None 67
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
593
61.8%
1 77
 
8.0%
2 52
 
5.4%
3 33
 
3.4%
5 26
 
2.7%
6 25
 
2.6%
4 25
 
2.6%
( 17
 
1.8%
) 17
 
1.8%
8 11
 
1.1%
Other values (28) 84
 
8.8%
Hangul
ValueCountFrequency (%)
356
 
8.5%
342
 
8.1%
342
 
8.1%
307
 
7.3%
298
 
7.1%
296
 
7.0%
183
 
4.3%
136
 
3.2%
134
 
3.2%
119
 
2.8%
Other values (241) 1695
40.3%
None
ValueCountFrequency (%)
67
100.0%

상호
Text

MISSING 

Distinct238
Distinct (%)65.9%
Missing53
Missing (%)12.8%
Memory size3.4 KiB
2024-03-13T20:50:50.383878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.9778393
Min length3

Characters and Unicode

Total characters2880
Distinct characters221
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

Unique204 ?
Unique (%)56.5%

Sample

1st row(주)청풍에너지
2nd row한국서부발전㈜
3rd row한국중부발전㈜
4th row태안솔라팜㈜
5th row한국수자원공사
ValueCountFrequency (%)
주)해봄에너지 45
 
11.7%
㈜해봄에너지 22
 
5.7%
한국농어촌공사 15
 
3.9%
대호지솔라파크㈜ 8
 
2.1%
아산지사 6
 
1.6%
㈜비가코리아태안 5
 
1.3%
티엠솔라원㈜ 5
 
1.3%
당진태양광개발송산㈜ 4
 
1.0%
㈜엠케이솔라 3
 
0.8%
㈜케이씨씨 3
 
0.8%
Other values (232) 267
69.7%
2024-03-13T20:50:50.814055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
8.8%
173
 
6.0%
172
 
6.0%
164
 
5.7%
142
 
4.9%
( 85
 
3.0%
) 85
 
3.0%
83
 
2.9%
73
 
2.5%
72
 
2.5%
Other values (211) 1577
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2230
77.4%
Other Symbol 254
 
8.8%
Space Separator 164
 
5.7%
Open Punctuation 85
 
3.0%
Close Punctuation 85
 
3.0%
Decimal Number 59
 
2.0%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
173
 
7.8%
172
 
7.7%
142
 
6.4%
83
 
3.7%
73
 
3.3%
72
 
3.2%
67
 
3.0%
62
 
2.8%
56
 
2.5%
53
 
2.4%
Other values (194) 1277
57.3%
Decimal Number
ValueCountFrequency (%)
1 24
40.7%
3 6
 
10.2%
2 5
 
8.5%
6 5
 
8.5%
5 4
 
6.8%
0 4
 
6.8%
8 3
 
5.1%
7 3
 
5.1%
9 3
 
5.1%
4 2
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
O 1
33.3%
C 1
33.3%
I 1
33.3%
Other Symbol
ValueCountFrequency (%)
254
100.0%
Space Separator
ValueCountFrequency (%)
164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2484
86.2%
Common 393
 
13.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
254
 
10.2%
173
 
7.0%
172
 
6.9%
142
 
5.7%
83
 
3.3%
73
 
2.9%
72
 
2.9%
67
 
2.7%
62
 
2.5%
56
 
2.3%
Other values (195) 1330
53.5%
Common
ValueCountFrequency (%)
164
41.7%
( 85
21.6%
) 85
21.6%
1 24
 
6.1%
3 6
 
1.5%
2 5
 
1.3%
6 5
 
1.3%
5 4
 
1.0%
0 4
 
1.0%
8 3
 
0.8%
Other values (3) 8
 
2.0%
Latin
ValueCountFrequency (%)
O 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2230
77.4%
ASCII 396
 
13.8%
None 254
 
8.8%

Most frequent character per block

None
ValueCountFrequency (%)
254
100.0%
Hangul
ValueCountFrequency (%)
173
 
7.8%
172
 
7.7%
142
 
6.4%
83
 
3.7%
73
 
3.3%
72
 
3.2%
67
 
3.0%
62
 
2.8%
56
 
2.5%
53
 
2.4%
Other values (194) 1277
57.3%
ASCII
ValueCountFrequency (%)
164
41.4%
( 85
21.5%
) 85
21.5%
1 24
 
6.1%
3 6
 
1.5%
2 5
 
1.3%
6 5
 
1.3%
5 4
 
1.0%
0 4
 
1.0%
8 3
 
0.8%
Other values (6) 11
 
2.8%
Distinct386
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-13T20:50:51.199746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length154
Median length86
Mean length35.869565
Min length14

Characters and Unicode

Total characters14850
Distinct characters185
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

Unique369 ?
Unique (%)89.1%

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 147
 
4.9%
119
 
4.0%
118
 
3.9%
부지 93
 
3.1%
대호지면 76
 
2.5%
적서리 75
 
2.5%
태안군 69
 
2.3%
서산시 60
 
2.0%
1필지 47
 
1.6%
2필지 39
 
1.3%
Other values (1359) 2147
71.8%
2024-03-13T20:50:51.795100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2728
18.4%
1 1213
 
8.2%
, 788
 
5.3%
2 767
 
5.2%
- 666
 
4.5%
518
 
3.5%
3 479
 
3.2%
4 418
 
2.8%
416
 
2.8%
6 391
 
2.6%
Other values (175) 6466
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5021
33.8%
Decimal Number 4954
33.4%
Space Separator 2728
18.4%
Other Punctuation 907
 
6.1%
Dash Punctuation 666
 
4.5%
Open Punctuation 287
 
1.9%
Close Punctuation 287
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
518
 
10.3%
416
 
8.3%
350
 
7.0%
328
 
6.5%
300
 
6.0%
263
 
5.2%
158
 
3.1%
157
 
3.1%
153
 
3.0%
125
 
2.5%
Other values (159) 2253
44.9%
Decimal Number
ValueCountFrequency (%)
1 1213
24.5%
2 767
15.5%
3 479
 
9.7%
4 418
 
8.4%
6 391
 
7.9%
7 367
 
7.4%
0 366
 
7.4%
5 350
 
7.1%
8 312
 
6.3%
9 291
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 788
86.9%
/ 119
 
13.1%
Space Separator
ValueCountFrequency (%)
2728
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 666
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9829
66.2%
Hangul 5021
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
518
 
10.3%
416
 
8.3%
350
 
7.0%
328
 
6.5%
300
 
6.0%
263
 
5.2%
158
 
3.1%
157
 
3.1%
153
 
3.0%
125
 
2.5%
Other values (159) 2253
44.9%
Common
ValueCountFrequency (%)
2728
27.8%
1 1213
12.3%
, 788
 
8.0%
2 767
 
7.8%
- 666
 
6.8%
3 479
 
4.9%
4 418
 
4.3%
6 391
 
4.0%
7 367
 
3.7%
0 366
 
3.7%
Other values (6) 1646
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9829
66.2%
Hangul 5021
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2728
27.8%
1 1213
12.3%
, 788
 
8.0%
2 767
 
7.8%
- 666
 
6.8%
3 479
 
4.9%
4 418
 
4.3%
6 391
 
4.0%
7 367
 
3.7%
0 366
 
3.7%
Other values (6) 1646
16.7%
Hangul
ValueCountFrequency (%)
518
 
10.3%
416
 
8.3%
350
 
7.0%
328
 
6.5%
300
 
6.0%
263
 
5.2%
158
 
3.1%
157
 
3.1%
153
 
3.0%
125
 
2.5%
Other values (159) 2253
44.9%
Distinct196
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1986-08-05 00:00:00
Maximum2023-06-16 00:00:00
2024-03-13T20:50:51.974925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:50:52.177568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct256
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-03-13T20:50:52.554753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.678744
Min length4

Characters and Unicode

Total characters2765
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)50.2%

Sample

1st row2120
2nd row2200
3rd row1200
4th row1614
5th row2640
ValueCountFrequency (%)
1016.16 26
 
6.3%
1,016.16 19
 
4.6%
1809.6 13
 
3.1%
2954.8 7
 
1.7%
1500 7
 
1.7%
2,992.80 6
 
1.4%
2004 6
 
1.4%
2006.4 6
 
1.4%
2547.36 6
 
1.4%
1998 5
 
1.2%
Other values (246) 313
75.6%
2024-03-13T20:50:53.076479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 375
13.6%
. 328
11.9%
2 318
11.5%
0 306
11.1%
9 284
10.3%
6 258
9.3%
8 155
5.6%
4 152
5.5%
144
 
5.2%
5 137
 
5.0%
Other values (3) 308
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2221
80.3%
Other Punctuation 400
 
14.5%
Space Separator 144
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 375
16.9%
2 318
14.3%
0 306
13.8%
9 284
12.8%
6 258
11.6%
8 155
7.0%
4 152
6.8%
5 137
 
6.2%
7 128
 
5.8%
3 108
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 328
82.0%
, 72
 
18.0%
Space Separator
ValueCountFrequency (%)
144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2765
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 375
13.6%
. 328
11.9%
2 318
11.5%
0 306
11.1%
9 284
10.3%
6 258
9.3%
8 155
5.6%
4 152
5.5%
144
 
5.2%
5 137
 
5.0%
Other values (3) 308
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 375
13.6%
. 328
11.9%
2 318
11.5%
0 306
11.1%
9 284
10.3%
6 258
9.3%
8 155
5.6%
4 152
5.5%
144
 
5.2%
5 137
 
5.0%
Other values (3) 308
11.1%

원동력
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
태양광
399 
폐기물
 
4
바이오
 
4
소수력
 
3
연료전지
 
2
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.0072464
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 399
96.4%
폐기물 4
 
1.0%
바이오 4
 
1.0%
소수력 3
 
0.7%
연료전지 2
 
0.5%
풍력 1
 
0.2%
열분해가스 1
 
0.2%

Length

2024-03-13T20:50:53.296049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:53.432393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 399
96.4%
폐기물 4
 
1.0%
바이오 4
 
1.0%
소수력 3
 
0.7%
연료전지 2
 
0.5%
풍력 1
 
0.2%
열분해가스 1
 
0.2%

Missing values

2024-03-13T20:50:47.771328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:50:47.912517image/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
6452한국남동발전㈜<NA>아산시 탕정면 명암리 36-1외 252010-12-031200태양광
7485한국동서발전㈜당진군매립시설한국동서발전㈜당진시 송산면 가곡리 4992011-04-211311태양광
8496㈜케이씨씨대죽2공장㈜케이씨씨 본부영업소서산시 대산읍 대죽리 11-62011-12-221590태양광
9502동부당진솔라㈜동부당진솔라㈜당진시 송악읍 고대리 333-22012-02-083004태양광
허가번호발전소명상호설치장소사업허가일자허가용량(키로와트)원동력
4042023-41송산태양광18호발전소(주)송산태양광18호발전소당진시 송산면 동곡리 2-269, 2-270, 2-271, 2-272(4필지) / 부지 위2023-06-161,704.12태양광
4052023-42송산태양광19호발전소(주)송산태양광19호발전소당진시 송산면 동곡리 2-443, 2-444, 2-445, 유곡리 1-30, 1-31(5필지) / 부지 위2023-06-162,109.36태양광
4062023-43대호지솔라파크 적서1호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1380, 1381, 1382, 1382-1, 1383, 1384-1 (6필지) / 부지 위2023-06-162,477.76태양광
4072023-44대호지솔라파크 적서2호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1377, 1378, 1379, 1379-1, 1416-1, 1417, 1418 (7필지) / 부지 위2023-06-162,338.56태양광
4082023-45대호지솔라파크 적서3호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1411-1, 1412, 1413, 1414, 1431, 1432-1 (6필지) / 부지 위2023-06-162,992.80태양광
4092023-46대호지솔라파크 적서4호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1458, 1459, 1459-1, 1460, 1461, 1461-1, 1462, 1463 (8필지) / 부지 위2023-06-162,992.80태양광
4102023-47대호지솔라파크 적서5호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1475, 1476, 1476-1, 1477, 1478-1, 1504-1, 1505 (7필지) / 부지 위2023-06-162,992.80태양광
4112023-48대호지솔라파크 적서6호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1501, 1502, 1514, 1515, 1539, 1540, 1551-1 (7필지) / 부지 위2023-06-162,171.52태양광
4122023-49대호지솔라파크 적서7호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1495-1, 1496, 1497, 1497-1, 1498, 1499 (6필지) / 부지 위2023-06-161,990.60태양광
4132023-50대호지솔라파크 적서8호 태양광발전소대호지솔라파크㈜당진시 대호지면 적서리 1441, 1442, 1443-1, 1447-1, 1448, 1449 (6필지) / 부지 위2023-06-162,115.80태양광