Overview

Dataset statistics

Number of variables8
Number of observations370
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text4
DateTime1
Categorical2

Dataset

Description경상남도 전기사업체 현황으로, 전기사업체의 연번, 허가번호, 허가일자, 상호, 설비용량(kW), 설치장소, 원동력종류, 상태(사업허가, 사업개시, 공사진행)에 관한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083898

Alerts

연번 is highly overall correlated with 상태High correlation
상태 is highly overall correlated with 연번High correlation
원동력종류 is highly imbalanced (87.1%)Imbalance
연번 has unique valuesUnique
허가번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:51:07.855799
Analysis finished2023-12-11 00:51:08.484026
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.5
Minimum1
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T09:51:08.549797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.45
Q193.25
median185.5
Q3277.75
95-th percentile351.55
Maximum370
Range369
Interquartile range (IQR)184.5

Descriptive statistics

Standard deviation106.95404
Coefficient of variation (CV)0.57657164
Kurtosis-1.2
Mean185.5
Median Absolute Deviation (MAD)92.5
Skewness0
Sum68635
Variance11439.167
MonotonicityStrictly increasing
2023-12-11T09:51:08.673966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
245 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%

허가번호
Text

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T09:51:08.887119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters7770
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

Unique370 ?
Unique (%)100.0%

Sample

1st row2016-6480000-81-00020
2nd row2016-6480000-81-00019
3rd row2016-6480000-81-00018
4th row2016-6480000-81-00017
5th row2016-6480000-81-00016
ValueCountFrequency (%)
2016-6480000-81-00020 1
 
0.3%
2012-6480000-81-00190 1
 
0.3%
2013-6480000-81-00111 1
 
0.3%
2013-6480000-81-00112 1
 
0.3%
2013-6480000-81-00113 1
 
0.3%
2013-6480000-81-00117 1
 
0.3%
2013-6480000-81-00119 1
 
0.3%
2013-6480000-81-00123 1
 
0.3%
2013-6480000-81-00127 1
 
0.3%
2013-6480000-81-00136 1
 
0.3%
Other values (360) 360
97.3%
2023-12-11T09:51:09.185368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2945
37.9%
- 1110
 
14.3%
1 869
 
11.2%
8 818
 
10.5%
4 563
 
7.2%
2 504
 
6.5%
6 459
 
5.9%
5 175
 
2.3%
3 143
 
1.8%
7 92
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6660
85.7%
Dash Punctuation 1110
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2945
44.2%
1 869
 
13.0%
8 818
 
12.3%
4 563
 
8.5%
2 504
 
7.6%
6 459
 
6.9%
5 175
 
2.6%
3 143
 
2.1%
7 92
 
1.4%
9 92
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2945
37.9%
- 1110
 
14.3%
1 869
 
11.2%
8 818
 
10.5%
4 563
 
7.2%
2 504
 
6.5%
6 459
 
5.9%
5 175
 
2.3%
3 143
 
1.8%
7 92
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2945
37.9%
- 1110
 
14.3%
1 869
 
11.2%
8 818
 
10.5%
4 563
 
7.2%
2 504
 
6.5%
6 459
 
5.9%
5 175
 
2.3%
3 143
 
1.8%
7 92
 
1.2%

허가일자
Date

Distinct230
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2004-03-18 00:00:00
Maximum2016-03-17 00:00:00
2023-12-11T09:51:09.356745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:51:09.486795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

Distinct369
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T09:51:09.693378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length14.186486
Min length4

Characters and Unicode

Total characters5249
Distinct characters316
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)99.5%

Sample

1st row주식회사 강천솔라(강천솔라 햇빛발전소)
2nd row주식회사 위천솔라(위천솔라 햇빛발전소)
3rd row주식회사 강천에너지(위천2호 햇빛발전소)
4th row주식회사 비에스케이파워(위천1호 햇빛발전소)
5th row정우태양광발전소
ValueCountFrequency (%)
태양광발전소 45
 
8.6%
주식회사 24
 
4.6%
햇빛발전소 4
 
0.8%
1호 4
 
0.8%
진성태양광발전소 3
 
0.6%
발전소 3
 
0.6%
nep 3
 
0.6%
에스케이이엔에스(주 3
 
0.6%
고속도로태양광발전(주 3
 
0.6%
창원 2
 
0.4%
Other values (418) 428
82.0%
2023-12-11T09:51:10.050709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 347
 
6.6%
발 339
 
6.5%
양 320
 
6.1%
소 319
 
6.1%
광 309
 
5.9%
태 307
 
5.8%
( 273
 
5.2%
) 273
 
5.2%
주 218
 
4.2%
152
 
2.9%
Other values (306) 2392
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4378
83.4%
Open Punctuation 277
 
5.3%
Close Punctuation 277
 
5.3%
Space Separator 152
 
2.9%
Decimal Number 108
 
2.1%
Uppercase Letter 44
 
0.8%
Lowercase Letter 6
 
0.1%
Other Punctuation 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 347
 
7.9%
발 339
 
7.7%
양 320
 
7.3%
소 319
 
7.3%
광 309
 
7.1%
태 307
 
7.0%
주 218
 
5.0%
에 101
 
2.3%
지 92
 
2.1%
사 71
 
1.6%
Other values (267) 1955
44.7%
Uppercase Letter
ValueCountFrequency (%)
E 6
13.6%
P 5
11.4%
K 5
11.4%
M 5
11.4%
S 4
9.1%
C 3
6.8%
H 3
6.8%
N 3
6.8%
G 2
 
4.5%
I 2
 
4.5%
Other values (6) 6
13.6%
Decimal Number
ValueCountFrequency (%)
1 35
32.4%
2 32
29.6%
3 12
 
11.1%
6 9
 
8.3%
4 6
 
5.6%
7 5
 
4.6%
8 4
 
3.7%
0 3
 
2.8%
5 2
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
t 1
16.7%
r 1
16.7%
e 1
16.7%
a 1
16.7%
w 1
16.7%
n 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 273
98.6%
[ 4
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 273
98.6%
] 4
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4378
83.4%
Common 821
 
15.6%
Latin 50
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 347
 
7.9%
발 339
 
7.7%
양 320
 
7.3%
소 319
 
7.3%
광 309
 
7.1%
태 307
 
7.0%
주 218
 
5.0%
에 101
 
2.3%
지 92
 
2.1%
사 71
 
1.6%
Other values (267) 1955
44.7%
Latin
ValueCountFrequency (%)
E 6
12.0%
P 5
10.0%
K 5
10.0%
M 5
10.0%
S 4
 
8.0%
C 3
 
6.0%
H 3
 
6.0%
N 3
 
6.0%
G 2
 
4.0%
I 2
 
4.0%
Other values (12) 12
24.0%
Common
ValueCountFrequency (%)
( 273
33.3%
) 273
33.3%
152
18.5%
1 35
 
4.3%
2 32
 
3.9%
3 12
 
1.5%
6 9
 
1.1%
4 6
 
0.7%
7 5
 
0.6%
8 4
 
0.5%
Other values (7) 20
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4378
83.4%
ASCII 871
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 347
 
7.9%
발 339
 
7.7%
양 320
 
7.3%
소 319
 
7.3%
광 309
 
7.1%
태 307
 
7.0%
주 218
 
5.0%
에 101
 
2.3%
지 92
 
2.1%
사 71
 
1.6%
Other values (267) 1955
44.7%
ASCII
ValueCountFrequency (%)
( 273
31.3%
) 273
31.3%
152
17.5%
1 35
 
4.0%
2 32
 
3.7%
3 12
 
1.4%
6 9
 
1.0%
4 6
 
0.7%
E 6
 
0.7%
7 5
 
0.6%
Other values (29) 68
 
7.8%

설비용량(KW)
Text

Distinct208
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T09:51:10.436096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.627027
Min length3

Characters and Unicode

Total characters1712
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

Unique162 ?
Unique (%)43.8%

Sample

1st row999
2nd row496.8
3rd row496.8
4th row999
5th row726
ValueCountFrequency (%)
1,000 32
 
8.6%
999 19
 
5.1%
400 12
 
3.2%
498 10
 
2.7%
1,500 9
 
2.4%
990 9
 
2.4%
800 7
 
1.9%
2,000 6
 
1.6%
500 6
 
1.6%
997.92 5
 
1.4%
Other values (198) 255
68.9%
2023-12-11T09:51:10.994971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 311
18.2%
0 308
18.0%
. 158
9.2%
4 150
8.8%
5 115
 
6.7%
8 109
 
6.4%
1 108
 
6.3%
, 101
 
5.9%
2 97
 
5.7%
6 91
 
5.3%
Other values (2) 164
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1453
84.9%
Other Punctuation 259
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 311
21.4%
0 308
21.2%
4 150
10.3%
5 115
 
7.9%
8 109
 
7.5%
1 108
 
7.4%
2 97
 
6.7%
6 91
 
6.3%
3 85
 
5.8%
7 79
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 158
61.0%
, 101
39.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1712
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 311
18.2%
0 308
18.0%
. 158
9.2%
4 150
8.8%
5 115
 
6.7%
8 109
 
6.4%
1 108
 
6.3%
, 101
 
5.9%
2 97
 
5.7%
6 91
 
5.3%
Other values (2) 164
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 311
18.2%
0 308
18.0%
. 158
9.2%
4 150
8.8%
5 115
 
6.7%
8 109
 
6.4%
1 108
 
6.3%
, 101
 
5.9%
2 97
 
5.7%
6 91
 
5.3%
Other values (2) 164
9.6%

설치장소
Text

Distinct341
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T09:51:11.372479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length59
Mean length28.481081
Min length18

Characters and Unicode

Total characters10538
Distinct characters240
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)87.0%

Sample

1st row경상남도 거창군 위천면 강천리 산 27번지 1호 산27-3
2nd row경상남도 거창군 위천면 강천리 산 27번지 1호 산27-3
3rd row경상남도 거창군 위천면 강천리 산 27번지 1호 산27-3, 산27-8, 산27-16
4th row경상남도 거창군 위천면 강천리 산 27번지 4호 산27-7, 산27-8, 산27-13, 산27-16
5th row경상남도 고성군 마암면 삼락리 산 35번지
ValueCountFrequency (%)
경상남도 370
 
15.1%
산 161
 
6.6%
1호 60
 
2.4%
53
 
2.2%
함양군 37
 
1.5%
창원시 34
 
1.4%
거창군 32
 
1.3%
합천군 32
 
1.3%
사천시 27
 
1.1%
2호 23
 
0.9%
Other values (852) 1629
66.3%
2023-12-11T09:51:11.906935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2088
19.8%
1 459
 
4.4%
남 406
 
3.9%
상 405
 
3.8%
도 381
 
3.6%
경 371
 
3.5%
산 366
 
3.5%
지 310
 
2.9%
번 284
 
2.7%
면 282
 
2.7%
Other values (230) 5186
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6096
57.8%
Space Separator 2088
 
19.8%
Decimal Number 1920
 
18.2%
Other Punctuation 170
 
1.6%
Dash Punctuation 156
 
1.5%
Close Punctuation 50
 
0.5%
Open Punctuation 50
 
0.5%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 406
 
6.7%
상 405
 
6.6%
도 381
 
6.2%
경 371
 
6.1%
산 366
 
6.0%
지 310
 
5.1%
번 284
 
4.7%
면 282
 
4.6%
리 256
 
4.2%
군 242
 
4.0%
Other values (210) 2793
45.8%
Decimal Number
ValueCountFrequency (%)
1 459
23.9%
2 275
14.3%
3 180
 
9.4%
7 173
 
9.0%
4 172
 
9.0%
5 145
 
7.6%
6 135
 
7.0%
8 133
 
6.9%
9 125
 
6.5%
0 123
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
L 3
37.5%
B 2
25.0%
A 1
 
12.5%
O 1
 
12.5%
T 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2088
100.0%
Other Punctuation
ValueCountFrequency (%)
, 170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6096
57.8%
Common 4434
42.1%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 406
 
6.7%
상 405
 
6.6%
도 381
 
6.2%
경 371
 
6.1%
산 366
 
6.0%
지 310
 
5.1%
번 284
 
4.7%
면 282
 
4.6%
리 256
 
4.2%
군 242
 
4.0%
Other values (210) 2793
45.8%
Common
ValueCountFrequency (%)
2088
47.1%
1 459
 
10.4%
2 275
 
6.2%
3 180
 
4.1%
7 173
 
3.9%
4 172
 
3.9%
, 170
 
3.8%
- 156
 
3.5%
5 145
 
3.3%
6 135
 
3.0%
Other values (5) 481
 
10.8%
Latin
ValueCountFrequency (%)
L 3
37.5%
B 2
25.0%
A 1
 
12.5%
O 1
 
12.5%
T 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6096
57.8%
ASCII 4442
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2088
47.0%
1 459
 
10.3%
2 275
 
6.2%
3 180
 
4.1%
7 173
 
3.9%
4 172
 
3.9%
, 170
 
3.8%
- 156
 
3.5%
5 145
 
3.3%
6 135
 
3.0%
Other values (10) 489
 
11.0%
Hangul
ValueCountFrequency (%)
남 406
 
6.7%
상 405
 
6.6%
도 381
 
6.2%
경 371
 
6.1%
산 366
 
6.0%
지 310
 
5.1%
번 284
 
4.7%
면 282
 
4.6%
리 256
 
4.2%
군 242
 
4.0%
Other values (210) 2793
45.8%

원동력종류
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
태양광
354 
수력
 
4
가스엔진발전기
 
4
소수력
 
3
바이오가스
 
2
Other values (2)
 
3

Length

Max length7
Median length3
Mean length3.0351351
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 354
95.7%
수력 4
 
1.1%
가스엔진발전기 4
 
1.1%
소수력 3
 
0.8%
바이오가스 2
 
0.5%
풍력 2
 
0.5%
화력 1
 
0.3%

Length

2023-12-11T09:51:12.102280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:51:12.225951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 354
95.7%
수력 4
 
1.1%
가스엔진발전기 4
 
1.1%
소수력 3
 
0.8%
바이오가스 2
 
0.5%
풍력 2
 
0.5%
화력 1
 
0.3%

상태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
인허가
208 
사업개시
162 

Length

Max length4
Median length3
Mean length3.4378378
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인허가
2nd row인허가
3rd row인허가
4th row인허가
5th row인허가

Common Values

ValueCountFrequency (%)
인허가 208
56.2%
사업개시 162
43.8%

Length

2023-12-11T09:51:12.340200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:51:12.463628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 208
56.2%
사업개시 162
43.8%

Interactions

2023-12-11T09:51:08.241895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:51:12.943759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번원동력종류상태
연번1.0000.1680.841
원동력종류0.1681.0000.126
상태0.8410.1261.000
2023-12-11T09:51:13.031622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원동력종류상태
원동력종류1.0000.134
상태0.1341.000
2023-12-11T09:51:13.108220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번원동력종류상태
연번1.0000.0850.666
원동력종류0.0851.0000.134
상태0.6660.1341.000

Missing values

2023-12-11T09:51:08.345914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:51:08.443378image/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

연번허가번호허가일자상호설비용량(KW)설치장소원동력종류상태
012016-6480000-81-000202016-03-17주식회사 강천솔라(강천솔라 햇빛발전소)999경상남도 거창군 위천면 강천리 산 27번지 1호 산27-3태양광인허가
122016-6480000-81-000192016-03-17주식회사 위천솔라(위천솔라 햇빛발전소)496.8경상남도 거창군 위천면 강천리 산 27번지 1호 산27-3태양광인허가
232016-6480000-81-000182016-03-17주식회사 강천에너지(위천2호 햇빛발전소)496.8경상남도 거창군 위천면 강천리 산 27번지 1호 산27-3, 산27-8, 산27-16태양광인허가
342016-6480000-81-000172016-03-17주식회사 비에스케이파워(위천1호 햇빛발전소)999경상남도 거창군 위천면 강천리 산 27번지 4호 산27-7, 산27-8, 산27-13, 산27-16태양광인허가
452016-6480000-81-000162016-03-16정우태양광발전소726경상남도 고성군 마암면 삼락리 산 35번지태양광인허가
562016-6480000-81-000152016-03-16미래개발 주식회사1,485경상남도 고성군 하이면 월흥리 산 154번지태양광인허가
672016-6480000-81-000142016-03-14(주)파워맥스2,990경상남도 산청군 신안면 신기리 900번지바이오가스인허가
782016-6480000-81-000132016-03-04신안태양광1,000경상남도 산청군 신안면 신기리 903번지 산129-2태양광인허가
892016-6480000-81-000122016-02-29주식회사 진테크(진보근태양광발전소)565경상남도 밀양시 부북면 위양리 856번지 858태양광인허가
9102016-6480000-81-000112016-02-19주식회사 서광에너지(서광에너지 태양광발전소)499경상남도 의령군 용덕면 교암리 285번지 1호 285-5태양광인허가
연번허가번호허가일자상호설비용량(KW)설치장소원동력종류상태
3603612007-6480000-81-000582007-09-20산청태양광발전소 (법인명 : (주)산청태양발전)1,000경상남도 산청군 단성면 방목리 산 124번지 1호 외 8필지태양광사업개시
3613622007-6480000-81-000522007-09-03진수전력태양광발전소 (법인명 :(주)진수전력)1,000경상남도 진주시 수곡면 효자리 산 26번지 , 산27번지태양광사업개시
3623632007-6480000-81-000342007-07-12뉴라이트에너지(주)1,000경상남도 합천군 율곡면 낙민리 114번지 1호 외1(114-2)태양광사업개시
3633642007-6480000-81-000282007-05-14(주)정포태양광발전소500경상남도 남해군 서면 정포리 986번지 3호 986-4,5 일원 (산71-1, 산53-12)태양광사업개시
3643652007-6480000-81-000242007-03-19(주)고암태양광발전1,500경상남도 창녕군 고암면 대암리 산 20번지 1호 외 8필지태양광사업개시
3653662007-6480000-81-000232007-03-05(주)테크윈 밀양얼음골 태양광발전소400경상남도 밀양시 산내면 원서리 산 89번지태양광사업개시
3663672007-6480000-81-000012007-01-10한국서부발전(주)2,000경상남도 밀양시 삼랑진읍 안태리 208번지 1호 일원태양광사업개시
3673682006-6480000-81-000022006-08-21한국농촌공사(산청율현소수력발전)560경상남도 산청군 신등면 율현리 0번지 일원수력사업개시
3683692005-6480000-81-000022005-07-15한국남동발전(주) 삼천포소수력발전소2,965경상남도 고성군 하이면 하이로 1수력사업개시
3693702004-6480000-81-000012004-03-18하동소수력발전소825경상남도 하동군 청암면 평촌리 1284번지 3호수력사업개시