Overview

Dataset statistics

Number of variables7
Number of observations289
Missing cells53
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory57.5 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://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 (86.9%)Imbalance
상호 has 53 (18.3%) missing valuesMissing
허가번호 has unique valuesUnique
발전소명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:50:40.113180
Analysis finished2024-03-13 11:50:40.921666
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-13T20:50:41.344390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.2214533
Min length1

Characters and Unicode

Total characters1220
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

Unique289 ?
Unique (%)100.0%

Sample

1st row1
2nd row4
3rd row29
4th row132
5th row421
ValueCountFrequency (%)
1 1
 
0.3%
1419 1
 
0.3%
2126 1
 
0.3%
2125 1
 
0.3%
2124 1
 
0.3%
2123 1
 
0.3%
2121 1
 
0.3%
2119 1
 
0.3%
2147 1
 
0.3%
2106 1
 
0.3%
Other values (279) 279
96.5%
2024-03-13T20:50:42.158949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 252
20.7%
2 237
19.4%
0 135
11.1%
3 94
 
7.7%
9 93
 
7.6%
8 81
 
6.6%
4 80
 
6.6%
5 80
 
6.6%
6 69
 
5.7%
7 57
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1178
96.6%
Dash Punctuation 42
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 252
21.4%
2 237
20.1%
0 135
11.5%
3 94
 
8.0%
9 93
 
7.9%
8 81
 
6.9%
4 80
 
6.8%
5 80
 
6.8%
6 69
 
5.9%
7 57
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 252
20.7%
2 237
19.4%
0 135
11.1%
3 94
 
7.7%
9 93
 
7.6%
8 81
 
6.6%
4 80
 
6.6%
5 80
 
6.6%
6 69
 
5.7%
7 57
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 252
20.7%
2 237
19.4%
0 135
11.1%
3 94
 
7.7%
9 93
 
7.6%
8 81
 
6.6%
4 80
 
6.6%
5 80
 
6.6%
6 69
 
5.7%
7 57
 
4.7%

발전소명
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-13T20:50:42.647325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length12.179931
Min length4

Characters and Unicode

Total characters3520
Distinct characters271
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

Unique289 ?
Unique (%)100.0%

Sample

1st row(주)청풍에너지 소수력발전소
2nd row태안발전본부 소수력 발전소
3rd row 서천화력 태양광
4th row 태안솔라팜
5th row 백제보 소수력
ValueCountFrequency (%)
태양광발전소 108
 
20.8%
태양광 31
 
6.0%
수상태양광발전소 14
 
2.7%
발전소 13
 
2.5%
신두리 6
 
1.2%
티엠솔라 5
 
1.0%
금산 4
 
0.8%
에스플래닛 4
 
0.8%
신창 3
 
0.6%
소수력 3
 
0.6%
Other values (316) 328
63.2%
2024-03-13T20:50:43.254715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
680
19.3%
태 231
 
6.6%
양 222
 
6.3%
광 222
 
6.3%
전 186
 
5.3%
소 175
 
5.0%
발 173
 
4.9%
호 75
 
2.1%
㈜ 67
 
1.9%
라 58
 
1.6%
Other values (261) 1431
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2585
73.4%
Space Separator 680
 
19.3%
Decimal Number 112
 
3.2%
Other Symbol 67
 
1.9%
Uppercase Letter 38
 
1.1%
Lowercase Letter 13
 
0.4%
Open Punctuation 11
 
0.3%
Close Punctuation 11
 
0.3%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
태 231
 
8.9%
양 222
 
8.6%
광 222
 
8.6%
전 186
 
7.2%
소 175
 
6.8%
발 173
 
6.7%
호 75
 
2.9%
라 58
 
2.2%
에 56
 
2.2%
지 53
 
2.1%
Other values (222) 1134
43.9%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.8%
S 5
13.2%
E 4
10.5%
K 4
10.5%
J 4
10.5%
H 3
7.9%
R 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 43
38.4%
2 26
23.2%
3 10
 
8.9%
6 9
 
8.0%
5 8
 
7.1%
4 6
 
5.4%
0 4
 
3.6%
8 3
 
2.7%
7 2
 
1.8%
9 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
t 2
15.4%
p 1
 
7.7%
f 1
 
7.7%
k 1
 
7.7%
h 1
 
7.7%
w 1
 
7.7%
a 1
 
7.7%
e 1
 
7.7%
r 1
 
7.7%
Space Separator
ValueCountFrequency (%)
680
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2652
75.3%
Common 817
 
23.2%
Latin 51
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
태 231
 
8.7%
양 222
 
8.4%
광 222
 
8.4%
전 186
 
7.0%
소 175
 
6.6%
발 173
 
6.5%
호 75
 
2.8%
㈜ 67
 
2.5%
라 58
 
2.2%
에 56
 
2.1%
Other values (223) 1187
44.8%
Latin
ValueCountFrequency (%)
C 6
 
11.8%
S 5
 
9.8%
E 4
 
7.8%
K 4
 
7.8%
J 4
 
7.8%
H 3
 
5.9%
R 3
 
5.9%
o 3
 
5.9%
Y 2
 
3.9%
N 2
 
3.9%
Other values (13) 15
29.4%
Common
ValueCountFrequency (%)
680
83.2%
1 43
 
5.3%
2 26
 
3.2%
( 11
 
1.3%
) 11
 
1.3%
3 10
 
1.2%
6 9
 
1.1%
5 8
 
1.0%
4 6
 
0.7%
0 4
 
0.5%
Other values (5) 9
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2585
73.4%
ASCII 868
 
24.7%
None 67
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
680
78.3%
1 43
 
5.0%
2 26
 
3.0%
( 11
 
1.3%
) 11
 
1.3%
3 10
 
1.2%
6 9
 
1.0%
5 8
 
0.9%
4 6
 
0.7%
C 6
 
0.7%
Other values (28) 58
 
6.7%
Hangul
ValueCountFrequency (%)
태 231
 
8.9%
양 222
 
8.6%
광 222
 
8.6%
전 186
 
7.2%
소 175
 
6.8%
발 173
 
6.7%
호 75
 
2.9%
라 58
 
2.2%
에 56
 
2.2%
지 53
 
2.1%
Other values (222) 1134
43.9%
None
ValueCountFrequency (%)
㈜ 67
100.0%

상호
Text

MISSING 

Distinct199
Distinct (%)84.3%
Missing53
Missing (%)18.3%
Memory size2.4 KiB
2024-03-13T20:50:43.578531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.9618644
Min length5

Characters and Unicode

Total characters2115
Distinct characters207
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

Unique177 ?
Unique (%)75.0%

Sample

1st row(주)청풍에너지
2nd row한국서부발전㈜
3rd row 한국중부발전㈜
4th row 태안솔라팜㈜
5th row 한국수자원공사
ValueCountFrequency (%)
한국농어촌공사 15
 
5.8%
아산지사 6
 
2.3%
㈜비가코리아태안 5
 
1.9%
티엠솔라원㈜ 5
 
1.9%
당진지사 3
 
1.2%
㈜케이씨씨 3
 
1.2%
한국수자원공사 3
 
1.2%
제이와이피브이㈜ 3
 
1.2%
㈜엠케이솔라 3
 
1.2%
㈜솔라테크 3
 
1.2%
Other values (192) 208
80.9%
2024-03-13T20:50:44.088630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
353
 
16.7%
㈜ 196
 
9.3%
지 91
 
4.3%
에 90
 
4.3%
너 69
 
3.3%
라 60
 
2.8%
전 47
 
2.2%
태 44
 
2.1%
솔 42
 
2.0%
이 40
 
1.9%
Other values (197) 1083
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1473
69.6%
Space Separator 353
 
16.7%
Other Symbol 196
 
9.3%
Decimal Number 48
 
2.3%
Close Punctuation 21
 
1.0%
Open Punctuation 21
 
1.0%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 91
 
6.2%
에 90
 
6.1%
너 69
 
4.7%
라 60
 
4.1%
전 47
 
3.2%
태 44
 
3.0%
솔 42
 
2.9%
이 40
 
2.7%
광 39
 
2.6%
한 39
 
2.6%
Other values (180) 912
61.9%
Decimal Number
ValueCountFrequency (%)
1 19
39.6%
6 5
 
10.4%
2 5
 
10.4%
0 4
 
8.3%
3 4
 
8.3%
5 4
 
8.3%
8 2
 
4.2%
4 2
 
4.2%
7 2
 
4.2%
9 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
353
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1669
78.9%
Common 443
 
20.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 196
 
11.7%
지 91
 
5.5%
에 90
 
5.4%
너 69
 
4.1%
라 60
 
3.6%
전 47
 
2.8%
태 44
 
2.6%
솔 42
 
2.5%
이 40
 
2.4%
광 39
 
2.3%
Other values (181) 951
57.0%
Common
ValueCountFrequency (%)
353
79.7%
) 21
 
4.7%
( 21
 
4.7%
1 19
 
4.3%
6 5
 
1.1%
2 5
 
1.1%
0 4
 
0.9%
3 4
 
0.9%
5 4
 
0.9%
8 2
 
0.5%
Other values (3) 5
 
1.1%
Latin
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1473
69.6%
ASCII 446
 
21.1%
None 196
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
353
79.1%
) 21
 
4.7%
( 21
 
4.7%
1 19
 
4.3%
6 5
 
1.1%
2 5
 
1.1%
0 4
 
0.9%
3 4
 
0.9%
5 4
 
0.9%
8 2
 
0.4%
Other values (6) 8
 
1.8%
None
ValueCountFrequency (%)
㈜ 196
100.0%
Hangul
ValueCountFrequency (%)
지 91
 
6.2%
에 90
 
6.1%
너 69
 
4.7%
라 60
 
4.1%
전 47
 
3.2%
태 44
 
3.0%
솔 42
 
2.9%
이 40
 
2.7%
광 39
 
2.6%
한 39
 
2.6%
Other values (180) 912
61.9%

설치장소
Text

Distinct271
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-13T20:50:44.427500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length154
Median length88
Mean length32.186851
Min length14

Characters and Unicode

Total characters9302
Distinct characters179
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

Unique259 ?
Unique (%)89.6%

Sample

1st row금산군 부리면 방우리 258-90
2nd row태안군 원북면 방갈리 831
3rd row 서천군 서면 마량리 313-2
4th row 태안군 소원면 소근리 산29-1
5th row 부여군 부여읍 자왕리 601
ValueCountFrequency (%)
당진시 57
 
3.2%
서산시 56
 
3.2%
태안군 55
 
3.1%
아산시 25
 
1.4%
1필지 21
 
1.2%
안면읍 18
 
1.0%
위 18
 
1.0%
18
 
1.0%
공주시 17
 
1.0%
천안시 17
 
1.0%
Other values (944) 1459
82.9%
2024-03-13T20:50:44.901000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1789
19.2%
1 610
 
6.6%
2 508
 
5.5%
, 471
 
5.1%
- 456
 
4.9%
리 292
 
3.1%
3 275
 
3.0%
6 259
 
2.8%
4 250
 
2.7%
지 243
 
2.6%
Other values (169) 4149
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3272
35.2%
Decimal Number 2958
31.8%
Space Separator 1789
19.2%
Other Punctuation 489
 
5.3%
Dash Punctuation 456
 
4.9%
Open Punctuation 169
 
1.8%
Close Punctuation 169
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 292
 
8.9%
지 243
 
7.4%
산 234
 
7.2%
면 231
 
7.1%
필 211
 
6.4%
시 197
 
6.0%
군 97
 
3.0%
안 95
 
2.9%
서 74
 
2.3%
당 67
 
2.0%
Other values (153) 1531
46.8%
Decimal Number
ValueCountFrequency (%)
1 610
20.6%
2 508
17.2%
3 275
9.3%
6 259
8.8%
4 250
8.5%
7 235
 
7.9%
0 219
 
7.4%
5 207
 
7.0%
8 201
 
6.8%
9 194
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 471
96.3%
/ 18
 
3.7%
Space Separator
ValueCountFrequency (%)
1789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 456
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6030
64.8%
Hangul 3272
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 292
 
8.9%
지 243
 
7.4%
산 234
 
7.2%
면 231
 
7.1%
필 211
 
6.4%
시 197
 
6.0%
군 97
 
3.0%
안 95
 
2.9%
서 74
 
2.3%
당 67
 
2.0%
Other values (153) 1531
46.8%
Common
ValueCountFrequency (%)
1789
29.7%
1 610
 
10.1%
2 508
 
8.4%
, 471
 
7.8%
- 456
 
7.6%
3 275
 
4.6%
6 259
 
4.3%
4 250
 
4.1%
7 235
 
3.9%
0 219
 
3.6%
Other values (6) 958
15.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6030
64.8%
Hangul 3272
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1789
29.7%
1 610
 
10.1%
2 508
 
8.4%
, 471
 
7.8%
- 456
 
7.6%
3 275
 
4.6%
6 259
 
4.3%
4 250
 
4.1%
7 235
 
3.9%
0 219
 
3.6%
Other values (6) 958
15.9%
Hangul
ValueCountFrequency (%)
리 292
 
8.9%
지 243
 
7.4%
산 234
 
7.2%
면 231
 
7.1%
필 211
 
6.4%
시 197
 
6.0%
군 97
 
3.0%
안 95
 
2.9%
서 74
 
2.3%
당 67
 
2.0%
Other values (153) 1531
46.8%

사업허가일자
Date

Distinct169
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1986-08-05 00:00:00
Maximum2022-03-02 00:00:00
2024-03-13T20:50:45.086036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:50:45.275180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가용량(키로와트)
Real number (ℝ)

Distinct212
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2152.8184
Minimum1004.85
Maximum3004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-03-13T20:50:45.453717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004.85
5-th percentile1199.928
Q11716.75
median2008.8
Q32700.48
95-th percentile2997
Maximum3004
Range1999.15
Interquartile range (IQR)983.73

Descriptive statistics

Standard deviation581.64273
Coefficient of variation (CV)0.27017733
Kurtosis-1.0789132
Mean2152.8184
Median Absolute Deviation (MAD)496.5
Skewness0.022151807
Sum622164.53
Variance338308.27
MonotonicityNot monotonic
2024-03-13T20:50:45.601821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2954.8 7
 
2.4%
1500.0 7
 
2.4%
2004.0 6
 
2.1%
2006.4 6
 
2.1%
2999.76 5
 
1.7%
2993.76 5
 
1.7%
2784.6 5
 
1.7%
2005.0 4
 
1.4%
1997.64 4
 
1.4%
2995.2 4
 
1.4%
Other values (202) 236
81.7%
ValueCountFrequency (%)
1004.85 1
0.3%
1034.55 1
0.3%
1044.48 1
0.3%
1064.34 1
0.3%
1080.0 1
0.3%
1134.9 1
0.3%
1135.44 1
0.3%
1151.92 1
0.3%
1162.8 1
0.3%
1187.28 1
0.3%
ValueCountFrequency (%)
3004.0 1
 
0.3%
3000.0 2
 
0.7%
2999.76 5
1.7%
2999.6 1
 
0.3%
2999.2 1
 
0.3%
2999.16 3
1.0%
2998.8 1
 
0.3%
2997.0 4
1.4%
2995.92 2
 
0.7%
2995.47 2
 
0.7%

원동력
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
태양광
277 
바이오
 
4
소수력
 
3
폐기물
 
3
풍력
 
1

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 277
95.8%
바이오 4
 
1.4%
소수력 3
 
1.0%
폐기물 3
 
1.0%
풍력 1
 
0.3%
연료전지 1
 
0.3%

Length

2024-03-13T20:50:45.798142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:45.958722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 277
95.8%
바이오 4
 
1.4%
소수력 3
 
1.0%
폐기물 3
 
1.0%
풍력 1
 
0.3%
연료전지 1
 
0.3%

Interactions

2024-03-13T20:50:40.556632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:50:46.062553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가용량(키로와트)원동력
허가용량(키로와트)1.0000.000
원동력0.0001.000
2024-03-13T20:50:46.206333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가용량(키로와트)원동력
허가용량(키로와트)1.0000.000
원동력0.0001.000

Missing values

2024-03-13T20:50:40.735404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:50:40.870956image/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 258-901986-08-052120.0소수력
14태안발전본부 소수력 발전소한국서부발전㈜태안군 원북면 방갈리 8312005-03-052200.0소수력
229서천화력 태양광한국중부발전㈜서천군 서면 마량리 313-22007-02-211200.0태양광
3132태안솔라팜태안솔라팜㈜태안군 소원면 소근리 산29-12008-03-121614.0태양광
4421백제보 소수력한국수자원공사부여군 부여읍 자왕리 6012010-03-292640.0태양광
5439공주보 소수력한국수자원공사공주시 우성면 평목리 872010-09-173000.0소수력
6452한국남동발전㈜<NA>아산시 탕정면 명암리 36-1외 252010-12-031200.0태양광
7485한국동서발전㈜당진군매립시설한국동서발전㈜당진시 송산면 가곡리 4992011-04-211311.0태양광
8496㈜케이씨씨대죽2공장㈜케이씨씨 본부영업소서산시 대산읍 대죽리 11-62011-12-221590.0태양광
9502동부당진솔라㈜동부당진솔라㈜당진시 송악읍 고대리 333-22012-02-083004.0태양광
허가번호발전소명상호설치장소사업허가일자허가용량(키로와트)원동력
2792021-83한전쏠라13 발전소한전쏠라13㈜당진시 석문면 교로리 2230, 2231, 2231-1, 2232, 2233, 2239, 2240 (7필지)2021-12-092696.76태양광
2802021-84한전쏠라14 발전소한전쏠라14㈜당진시 석문면 교로리 1898-1, 1899, 1900, 1900-1, 1901 (5필지)2021-12-091752.84태양광
2812021-85한전쏠라15 발전소한전쏠라15㈜당진시 석문면 삼봉리 2035-1, 2036, 2037, 2038, 2038-1, 2039, 초락도리 2417 (7필지)2021-12-092949.48태양광
2822021-86한전쏠라16 발전소한전쏠라16㈜당진시 석문면 교로리 1903, 1904, 1905, 1905-1, 1906, 1907, 1907-1, 1908 (8필지)2021-12-092851.2태양광
2832021-87한전쏠라5 발전소한전쏠라5㈜당진시 석문면 교로리 2205, 2206, 2207, 2207-1, 2208, 2209, 2210 (7필지)2021-12-312818.8태양광
2842021-88한전쏠라7 발전소한전쏠라7㈜당진시 석문면 삼봉리 1937-1, 1938, 1939, 1953, 1954 (5필지)2021-12-312949.48태양광
2852021-89한전쏠라8 발전소한전쏠라8㈜당진시 석문면 삼봉리 1969, 1970, 1970-1, 1971, 1972, 1972-1, 1973 (7필지)2021-12-312999.16태양광
2862022-1아산에너지 발전소(주)아산에너지아산시 탕정면 명암리 1305 (1필지)2022-01-132999.6연료전지
2872022-2에스티알에너지대로리주민6호㈜에스티알에너지대로리주민6호㈜서산시 대산읍 대로리 932-27, 932-28 (2필지)2022-02-111044.48태양광
2882022-3(주)서영 서산지점 태양광발전소(주)서영서산시 지곡면 무장리 1692 (1필지) / 건물 위2022-03-021429.7태양광