Overview

Dataset statistics

Number of variables6
Number of observations311
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory48.4 B

Variable types

DateTime1
Text5

Dataset

Description경상남도 하동군 태양광발전소 거래 현황으로서, 양도양수한 태양광발전소 날짜, 용량, 양수인, 양도인, 주소 등의 데이터를 제공합니다.
Author경상남도 하동군
URLhttps://www.data.go.kr/data/15107319/fileData.do

Reproduction

Analysis started2024-03-14 09:00:16.612566
Analysis finished2024-03-14 09:00:17.769792
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct140
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2014-10-22 00:00:00
Maximum2023-12-22 00:00:00
2024-03-14T18:00:18.169280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:00:18.599540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct182
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T18:00:20.044057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length19.131833
Min length13

Characters and Unicode

Total characters5950
Distinct characters109
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

Unique142 ?
Unique (%)45.7%

Sample

1st row경남 하동군 금남면 소송양달길 22
2nd row경남 하동군 고전면 성평리 산2-1
3rd row경남 하동군 고전면 성평리 산2-1
4th row경남 하동군 화정리 산163-6
5th row경남 하동군 화정리660, 661, 산117
ValueCountFrequency (%)
하동군 310
21.6%
경남 145
 
10.1%
양보면 86
 
6.0%
지례리 66
 
4.6%
진교면 53
 
3.7%
고전면 41
 
2.9%
적량면 39
 
2.7%
우계리 35
 
2.4%
산136 29
 
2.0%
백련리 28
 
2.0%
Other values (252) 602
42.0%
2024-03-14T18:00:21.910278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1123
18.9%
1 349
 
5.9%
338
 
5.7%
324
 
5.4%
310
 
5.2%
295
 
5.0%
295
 
5.0%
208
 
3.5%
- 201
 
3.4%
3 155
 
2.6%
Other values (99) 2352
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3312
55.7%
Decimal Number 1231
 
20.7%
Space Separator 1123
 
18.9%
Dash Punctuation 201
 
3.4%
Other Punctuation 49
 
0.8%
Close Punctuation 17
 
0.3%
Open Punctuation 17
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
338
 
10.2%
324
 
9.8%
310
 
9.4%
295
 
8.9%
295
 
8.9%
208
 
6.3%
150
 
4.5%
148
 
4.5%
89
 
2.7%
86
 
2.6%
Other values (84) 1069
32.3%
Decimal Number
ValueCountFrequency (%)
1 349
28.4%
3 155
12.6%
0 138
 
11.2%
9 126
 
10.2%
5 111
 
9.0%
6 96
 
7.8%
4 85
 
6.9%
2 71
 
5.8%
8 50
 
4.1%
7 50
 
4.1%
Space Separator
ValueCountFrequency (%)
1123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3312
55.7%
Common 2638
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
338
 
10.2%
324
 
9.8%
310
 
9.4%
295
 
8.9%
295
 
8.9%
208
 
6.3%
150
 
4.5%
148
 
4.5%
89
 
2.7%
86
 
2.6%
Other values (84) 1069
32.3%
Common
ValueCountFrequency (%)
1123
42.6%
1 349
 
13.2%
- 201
 
7.6%
3 155
 
5.9%
0 138
 
5.2%
9 126
 
4.8%
5 111
 
4.2%
6 96
 
3.6%
4 85
 
3.2%
2 71
 
2.7%
Other values (5) 183
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3312
55.7%
ASCII 2638
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1123
42.6%
1 349
 
13.2%
- 201
 
7.6%
3 155
 
5.9%
0 138
 
5.2%
9 126
 
4.8%
5 111
 
4.2%
6 96
 
3.6%
4 85
 
3.2%
2 71
 
2.7%
Other values (5) 183
 
6.9%
Hangul
ValueCountFrequency (%)
338
 
10.2%
324
 
9.8%
310
 
9.4%
295
 
8.9%
295
 
8.9%
208
 
6.3%
150
 
4.5%
148
 
4.5%
89
 
2.7%
86
 
2.6%
Other values (84) 1069
32.3%
Distinct119
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T18:00:23.000543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.6881029
Min length3

Characters and Unicode

Total characters1769
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)26.4%

Sample

1st row14.88KW
2nd row99KW
3rd row99KW
4th row99KW
5th row99KW
ValueCountFrequency (%)
99kw 63
20.3%
99.4kw 16
 
5.1%
100kw 15
 
4.8%
99.5kw 12
 
3.9%
296.96kw 12
 
3.9%
99㎾ 11
 
3.5%
99.36kw 9
 
2.9%
97.28kw 8
 
2.6%
997.56kw 7
 
2.3%
100㎾ 5
 
1.6%
Other values (104) 153
49.2%
2024-03-14T18:00:24.508230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 427
24.1%
W 243
13.7%
K 233
13.2%
. 183
10.3%
6 99
 
5.6%
2 91
 
5.1%
0 83
 
4.7%
68
 
3.8%
1 66
 
3.7%
5 60
 
3.4%
Other values (7) 216
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1029
58.2%
Uppercase Letter 476
26.9%
Other Punctuation 186
 
10.5%
Other Symbol 68
 
3.8%
Lowercase Letter 10
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 427
41.5%
6 99
 
9.6%
2 91
 
8.8%
0 83
 
8.1%
1 66
 
6.4%
5 60
 
5.8%
8 59
 
5.7%
4 58
 
5.6%
7 54
 
5.2%
3 32
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 183
98.4%
, 2
 
1.1%
\ 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
W 243
51.1%
K 233
48.9%
Other Symbol
ValueCountFrequency (%)
68
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1283
72.5%
Latin 486
 
27.5%

Most frequent character per script

Common
ValueCountFrequency (%)
9 427
33.3%
. 183
14.3%
6 99
 
7.7%
2 91
 
7.1%
0 83
 
6.5%
68
 
5.3%
1 66
 
5.1%
5 60
 
4.7%
8 59
 
4.6%
4 58
 
4.5%
Other values (4) 89
 
6.9%
Latin
ValueCountFrequency (%)
W 243
50.0%
K 233
47.9%
k 10
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1701
96.2%
CJK Compat 68
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 427
25.1%
W 243
14.3%
K 233
13.7%
. 183
10.8%
6 99
 
5.8%
2 91
 
5.3%
0 83
 
4.9%
1 66
 
3.9%
5 60
 
3.5%
8 59
 
3.5%
Other values (6) 157
 
9.2%
CJK Compat
ValueCountFrequency (%)
68
100.0%
Distinct286
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T18:00:25.555553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10.151125
Min length5

Characters and Unicode

Total characters3157
Distinct characters229
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

Unique263 ?
Unique (%)84.6%

Sample

1st row조PD태양광발전소(조재식)
2nd row미래 태양광발전소(박정화)
3rd row불산 태양광발전소
4th row화정1호태양광발전소
5th row화정2호태양광발전소
ValueCountFrequency (%)
태양광발전소 100
 
22.2%
태양광 5
 
1.1%
주식회사 4
 
0.9%
양보39 4
 
0.9%
발전소 3
 
0.7%
모햇1차태양광발전소18호 2
 
0.4%
모햇1차태양광발전소20호 2
 
0.4%
일성태양광발전소 2
 
0.4%
황금알태양광발전소 2
 
0.4%
양보35 2
 
0.4%
Other values (301) 325
72.1%
2024-03-14T18:00:27.040550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
10.1%
294
 
9.3%
293
 
9.3%
275
 
8.7%
275
 
8.7%
272
 
8.6%
140
 
4.4%
73
 
2.3%
1 46
 
1.5%
2 45
 
1.4%
Other values (219) 1126
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2750
87.1%
Decimal Number 167
 
5.3%
Space Separator 140
 
4.4%
Close Punctuation 43
 
1.4%
Open Punctuation 43
 
1.4%
Uppercase Letter 11
 
0.3%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
318
 
11.6%
294
 
10.7%
293
 
10.7%
275
 
10.0%
275
 
10.0%
272
 
9.9%
73
 
2.7%
35
 
1.3%
32
 
1.2%
30
 
1.1%
Other values (197) 853
31.0%
Decimal Number
ValueCountFrequency (%)
1 46
27.5%
2 45
26.9%
3 23
13.8%
4 10
 
6.0%
9 9
 
5.4%
8 8
 
4.8%
5 8
 
4.8%
6 7
 
4.2%
7 6
 
3.6%
0 5
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
18.2%
J 2
18.2%
K 2
18.2%
L 1
9.1%
S 1
9.1%
T 1
9.1%
D 1
9.1%
P 1
9.1%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2753
87.2%
Common 393
 
12.4%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
318
 
11.6%
294
 
10.7%
293
 
10.6%
275
 
10.0%
275
 
10.0%
272
 
9.9%
73
 
2.7%
35
 
1.3%
32
 
1.2%
30
 
1.1%
Other values (198) 856
31.1%
Common
ValueCountFrequency (%)
140
35.6%
1 46
 
11.7%
2 45
 
11.5%
) 43
 
10.9%
( 43
 
10.9%
3 23
 
5.9%
4 10
 
2.5%
9 9
 
2.3%
8 8
 
2.0%
5 8
 
2.0%
Other values (3) 18
 
4.6%
Latin
ValueCountFrequency (%)
H 2
18.2%
J 2
18.2%
K 2
18.2%
L 1
9.1%
S 1
9.1%
T 1
9.1%
D 1
9.1%
P 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2750
87.1%
ASCII 404
 
12.8%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
318
 
11.6%
294
 
10.7%
293
 
10.7%
275
 
10.0%
275
 
10.0%
272
 
9.9%
73
 
2.7%
35
 
1.3%
32
 
1.2%
30
 
1.1%
Other values (197) 853
31.0%
ASCII
ValueCountFrequency (%)
140
34.7%
1 46
 
11.4%
2 45
 
11.1%
) 43
 
10.6%
( 43
 
10.6%
3 23
 
5.7%
4 10
 
2.5%
9 9
 
2.2%
8 8
 
2.0%
5 8
 
2.0%
Other values (11) 29
 
7.2%
None
ValueCountFrequency (%)
3
100.0%
Distinct288
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T18:00:28.254864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length10.475884
Min length5

Characters and Unicode

Total characters3258
Distinct characters233
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)85.9%

Sample

1st row조PD태양광발전소(정점남)
2nd row미래 태양광발전소(심도자)
3rd row월드 태양광발전소
4th rowJK태양광발전소
5th rowMS태양광발전소
ValueCountFrequency (%)
태양광발전소 117
 
24.8%
주식회사 7
 
1.5%
태양광 5
 
1.1%
양보39 4
 
0.8%
발전소 4
 
0.8%
골드에너지6호 2
 
0.4%
골드에너지9호 2
 
0.4%
원중솔라 2
 
0.4%
정애 2
 
0.4%
정훈 2
 
0.4%
Other values (300) 324
68.8%
2024-03-14T18:00:29.908541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
 
9.5%
282
 
8.7%
281
 
8.6%
271
 
8.3%
265
 
8.1%
265
 
8.1%
160
 
4.9%
80
 
2.5%
58
 
1.8%
( 50
 
1.5%
Other values (223) 1236
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2796
85.8%
Decimal Number 179
 
5.5%
Space Separator 160
 
4.9%
Open Punctuation 50
 
1.5%
Close Punctuation 50
 
1.5%
Uppercase Letter 17
 
0.5%
Other Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
310
 
11.1%
282
 
10.1%
281
 
10.1%
271
 
9.7%
265
 
9.5%
265
 
9.5%
80
 
2.9%
58
 
2.1%
49
 
1.8%
44
 
1.6%
Other values (196) 891
31.9%
Decimal Number
ValueCountFrequency (%)
1 45
25.1%
2 42
23.5%
3 27
15.1%
4 13
 
7.3%
9 11
 
6.1%
5 9
 
5.0%
8 9
 
5.0%
7 8
 
4.5%
6 8
 
4.5%
0 7
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
K 3
17.6%
H 3
17.6%
J 2
11.8%
S 2
11.8%
M 2
11.8%
D 1
 
5.9%
P 1
 
5.9%
T 1
 
5.9%
L 1
 
5.9%
C 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
i 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2799
85.9%
Common 439
 
13.5%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
310
 
11.1%
282
 
10.1%
281
 
10.0%
271
 
9.7%
265
 
9.5%
265
 
9.5%
80
 
2.9%
58
 
2.1%
49
 
1.8%
44
 
1.6%
Other values (197) 894
31.9%
Common
ValueCountFrequency (%)
160
36.4%
( 50
 
11.4%
) 50
 
11.4%
1 45
 
10.3%
2 42
 
9.6%
3 27
 
6.2%
4 13
 
3.0%
9 11
 
2.5%
5 9
 
2.1%
8 9
 
2.1%
Other values (3) 23
 
5.2%
Latin
ValueCountFrequency (%)
K 3
15.0%
H 3
15.0%
J 2
10.0%
S 2
10.0%
M 2
10.0%
D 1
 
5.0%
P 1
 
5.0%
T 1
 
5.0%
L 1
 
5.0%
C 1
 
5.0%
Other values (3) 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2796
85.8%
ASCII 459
 
14.1%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
310
 
11.1%
282
 
10.1%
281
 
10.1%
271
 
9.7%
265
 
9.5%
265
 
9.5%
80
 
2.9%
58
 
2.1%
49
 
1.8%
44
 
1.6%
Other values (196) 891
31.9%
ASCII
ValueCountFrequency (%)
160
34.9%
( 50
 
10.9%
) 50
 
10.9%
1 45
 
9.8%
2 42
 
9.2%
3 27
 
5.9%
4 13
 
2.8%
9 11
 
2.4%
5 9
 
2.0%
8 9
 
2.0%
Other values (16) 43
 
9.4%
None
ValueCountFrequency (%)
3
100.0%
Distinct185
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T18:00:30.744862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length10.527331
Min length4

Characters and Unicode

Total characters3274
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)52.1%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 100
32.2%
2018-경남하동-00252 4
 
1.3%
2018-경남하동-00219 3
 
1.0%
2018-경남하동-00217 3
 
1.0%
2017-경남하동-00327 3
 
1.0%
하동2021-30 2
 
0.6%
하동2021-32 2
 
0.6%
하동2017-230 2
 
0.6%
2018-경남하동-00142 2
 
0.6%
2018-경남하동-00138 2
 
0.6%
Other values (175) 188
60.5%
2024-03-14T18:00:32.010966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 629
19.2%
- 372
11.4%
2 347
10.6%
1 309
9.4%
210
 
6.4%
210
 
6.4%
158
 
4.8%
158
 
4.8%
7 131
 
4.0%
100
 
3.1%
Other values (9) 650
19.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1766
53.9%
Other Letter 1136
34.7%
Dash Punctuation 372
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 629
35.6%
2 347
19.6%
1 309
17.5%
7 131
 
7.4%
8 100
 
5.7%
3 65
 
3.7%
6 59
 
3.3%
5 47
 
2.7%
9 40
 
2.3%
4 39
 
2.2%
Other Letter
ValueCountFrequency (%)
210
18.5%
210
18.5%
158
13.9%
158
13.9%
100
8.8%
100
8.8%
100
8.8%
100
8.8%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2138
65.3%
Hangul 1136
34.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 629
29.4%
- 372
17.4%
2 347
16.2%
1 309
14.5%
7 131
 
6.1%
8 100
 
4.7%
3 65
 
3.0%
6 59
 
2.8%
5 47
 
2.2%
9 40
 
1.9%
Hangul
ValueCountFrequency (%)
210
18.5%
210
18.5%
158
13.9%
158
13.9%
100
8.8%
100
8.8%
100
8.8%
100
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2138
65.3%
Hangul 1136
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 629
29.4%
- 372
17.4%
2 347
16.2%
1 309
14.5%
7 131
 
6.1%
8 100
 
4.7%
3 65
 
3.0%
6 59
 
2.8%
5 47
 
2.2%
9 40
 
1.9%
Hangul
ValueCountFrequency (%)
210
18.5%
210
18.5%
158
13.9%
158
13.9%
100
8.8%
100
8.8%
100
8.8%
100
8.8%

Missing values

2024-03-14T18:00:17.263533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:00:17.627558image/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

양수인가 연-월-일설치장소설비용량양도인 발전소양수인 발전소허가번호
02014-10-22경남 하동군 금남면 소송양달길 2214.88KW조PD태양광발전소(조재식)조PD태양광발전소(정점남)정보없음
12014-12-08경남 하동군 고전면 성평리 산2-199KW미래 태양광발전소(박정화)미래 태양광발전소(심도자)정보없음
22014-12-08경남 하동군 고전면 성평리 산2-199KW불산 태양광발전소월드 태양광발전소정보없음
32015-03-03경남 하동군 화정리 산163-699KW화정1호태양광발전소JK태양광발전소정보없음
42015-03-03경남 하동군 화정리660, 661, 산11799KW화정2호태양광발전소MS태양광발전소정보없음
52015-03-18경남 하동군 화정리 산117, 657, 65699KW화정4호태양광발전소CH태양광발전소정보없음
62015-03-18경남 하동군 화정리66599KW화정5호태양광발전소HK태양광발전소정보없음
72015-03-20경남 하동군 진교면 백련리 산100(100-17)99KW진교 태양광발전소안동태양광발전소정보없음
82015-03-20경남 하동군 진교면 백련리 산100(100-2)99KW백련2호태양광발전소옥동태양광발전소정보없음
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양수인가 연-월-일설치장소설비용량양도인 발전소양수인 발전소허가번호
3012023-08-14하동군 진교면 관곡리 820-11496.8㎾태광발전소 주식회사주식회사 에스엔에너지하동2016-43
3022023-08-21하동군 양보면 지례리 52-11100㎾샤인 태양광발전소소영 태양광발전소하동2017-63
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3042023-11-10하동군 화개면 탑리 674-525㎾화개 태양광발전소화개 태양광발전소하동2017-111
3052023-11-10하동군 북천면 옥정리 788-199.82㎾우리 태양광발전소우리 태양광발전소하동2020-63
3062023-11-21하동군 고전면 범아리 540, 540-199.6㎾두루미1호 태양광발전소두루미1호 태양광발전소하동2020-91
3072023-11-28하동군 양보면 지례리 219-22296.96㎾양보39 태양광발전소양보39 태양광발전소하동2017-230
3082023-12-22하동군 하동읍 화심리 303-599㎾모햇1차태양광발전소18호모햇1차태양광발전소18호하동2021-30
3092023-12-22하동군 하동읍 화심리 303-598.1㎾모햇1차태양광발전소19호모햇1차태양광발전소19호하동2021-31
3102023-12-22하동군 하동읍 화심리 303-563.9㎾모햇1차태양광발전소20호모햇1차태양광발전소20호하동2021-32