Overview

Dataset statistics

Number of variables8
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory66.7 B

Variable types

Numeric2
Text3
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 (69.4%)Imbalance
연번 has unique valuesUnique
허가번호 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:51:14.449769
Analysis finished2023-12-11 00:51:15.441215
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.5
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T09:51:15.517577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.75
Q149.75
median98.5
Q3147.25
95-th percentile186.25
Maximum196
Range195
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation56.72448
Coefficient of variation (CV)0.57588305
Kurtosis-1.2
Mean98.5
Median Absolute Deviation (MAD)49
Skewness0
Sum19306
Variance3217.6667
MonotonicityStrictly increasing
2023-12-11T09:51:15.706048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (186) 186
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%

허가번호
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T09:51:15.968523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters4116
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

Unique196 ?
Unique (%)100.0%

Sample

1st row2022-6480000-81-00014
2nd row2022-6480000-81-00013
3rd row2022-6480000-81-00012
4th row2022-6480000-81-00011
5th row2022-6480000-81-00010
ValueCountFrequency (%)
2022-6480000-81-00014 1
 
0.5%
2016-6480000-81-00112 1
 
0.5%
2016-6480000-81-00041 1
 
0.5%
2016-6480000-81-00109 1
 
0.5%
2016-6480000-81-00105 1
 
0.5%
2016-6480000-81-00092 1
 
0.5%
2016-6480000-81-00090 1
 
0.5%
2016-6480000-81-00089 1
 
0.5%
2016-6480000-81-00080 1
 
0.5%
2016-6480000-81-00073 1
 
0.5%
Other values (186) 186
94.9%
2023-12-11T09:51:16.300143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1576
38.3%
- 588
 
14.3%
1 498
 
12.1%
8 447
 
10.9%
2 309
 
7.5%
4 249
 
6.0%
6 247
 
6.0%
7 70
 
1.7%
3 49
 
1.2%
9 45
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3528
85.7%
Dash Punctuation 588
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1576
44.7%
1 498
 
14.1%
8 447
 
12.7%
2 309
 
8.8%
4 249
 
7.1%
6 247
 
7.0%
7 70
 
2.0%
3 49
 
1.4%
9 45
 
1.3%
5 38
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1576
38.3%
- 588
 
14.3%
1 498
 
12.1%
8 447
 
10.9%
2 309
 
7.5%
4 249
 
6.0%
6 247
 
6.0%
7 70
 
1.7%
3 49
 
1.2%
9 45
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1576
38.3%
- 588
 
14.3%
1 498
 
12.1%
8 447
 
10.9%
2 309
 
7.5%
4 249
 
6.0%
6 247
 
6.0%
7 70
 
1.7%
3 49
 
1.2%
9 45
 
1.1%

허가일자
Date

Distinct135
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1998-05-01 00:00:00
Maximum2022-12-14 00:00:00
2023-12-11T09:51:16.458864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:51:16.609355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T09:51:16.841508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length19.704082
Min length5

Characters and Unicode

Total characters3862
Distinct characters274
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

Unique196 ?
Unique (%)100.0%

Sample

1st row해바라기발전3호 주식회사
2nd row주식회사 우리에너지(우리에너지 우드팰릿 바이오매스 발전소)
3rd row태영산업(주)(태영산업(주) 2호 태양광발전소)
4th row주식회사 상상11호(상상11호 옥산1호 태양광발전소)
5th row진양금속(주)(진양1호발전소)
ValueCountFrequency (%)
태양광발전소 64
 
13.9%
주식회사 36
 
7.8%
부산신항 19
 
4.1%
한국남부발전(주 18
 
3.9%
발전소 10
 
2.2%
웅동단지 8
 
1.7%
주)창원그린에너지 8
 
1.7%
한국농어촌공사 8
 
1.7%
유한회사 5
 
1.1%
연료전지발전소 4
 
0.9%
Other values (269) 281
61.0%
2023-12-11T09:51:17.342570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
265
 
6.9%
전 202
 
5.2%
발 193
 
5.0%
) 166
 
4.3%
( 166
 
4.3%
소 163
 
4.2%
양 156
 
4.0%
태 152
 
3.9%
주 151
 
3.9%
광 149
 
3.9%
Other values (264) 2099
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3035
78.6%
Space Separator 265
 
6.9%
Close Punctuation 189
 
4.9%
Open Punctuation 189
 
4.9%
Decimal Number 100
 
2.6%
Uppercase Letter 71
 
1.8%
Dash Punctuation 10
 
0.3%
Other Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 202
 
6.7%
발 193
 
6.4%
소 163
 
5.4%
양 156
 
5.1%
태 152
 
5.0%
주 151
 
5.0%
광 149
 
4.9%
지 102
 
3.4%
사 100
 
3.3%
에 88
 
2.9%
Other values (228) 1579
52.0%
Uppercase Letter
ValueCountFrequency (%)
K 12
16.9%
C 11
15.5%
S 6
8.5%
G 6
8.5%
L 5
7.0%
E 5
7.0%
O 5
7.0%
I 4
 
5.6%
H 3
 
4.2%
P 3
 
4.2%
Other values (8) 11
15.5%
Decimal Number
ValueCountFrequency (%)
1 35
35.0%
2 24
24.0%
3 14
 
14.0%
4 7
 
7.0%
5 6
 
6.0%
7 6
 
6.0%
6 4
 
4.0%
8 3
 
3.0%
9 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 166
87.8%
] 23
 
12.2%
Open Punctuation
ValueCountFrequency (%)
( 166
87.8%
[ 23
 
12.2%
Space Separator
ValueCountFrequency (%)
265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3036
78.6%
Common 755
 
19.5%
Latin 71
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 202
 
6.7%
발 193
 
6.4%
소 163
 
5.4%
양 156
 
5.1%
태 152
 
5.0%
주 151
 
5.0%
광 149
 
4.9%
지 102
 
3.4%
사 100
 
3.3%
에 88
 
2.9%
Other values (229) 1580
52.0%
Latin
ValueCountFrequency (%)
K 12
16.9%
C 11
15.5%
S 6
8.5%
G 6
8.5%
L 5
7.0%
E 5
7.0%
O 5
7.0%
I 4
 
5.6%
H 3
 
4.2%
P 3
 
4.2%
Other values (8) 11
15.5%
Common
ValueCountFrequency (%)
265
35.1%
) 166
22.0%
( 166
22.0%
1 35
 
4.6%
2 24
 
3.2%
] 23
 
3.0%
[ 23
 
3.0%
3 14
 
1.9%
- 10
 
1.3%
4 7
 
0.9%
Other values (7) 22
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3035
78.6%
ASCII 826
 
21.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
265
32.1%
) 166
20.1%
( 166
20.1%
1 35
 
4.2%
2 24
 
2.9%
] 23
 
2.8%
[ 23
 
2.8%
3 14
 
1.7%
K 12
 
1.5%
C 11
 
1.3%
Other values (25) 87
 
10.5%
Hangul
ValueCountFrequency (%)
전 202
 
6.7%
발 193
 
6.4%
소 163
 
5.4%
양 156
 
5.1%
태 152
 
5.0%
주 151
 
5.0%
광 149
 
4.9%
지 102
 
3.4%
사 100
 
3.3%
에 88
 
2.9%
Other values (228) 1579
52.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설비용량(킬로와트)
Real number (ℝ)

Distinct144
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1916.7723
Minimum1024
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T09:51:17.540234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1024
5-th percentile1098.6375
Q11430.4
median1995.12
Q32400
95-th percentile2997.3825
Maximum3000
Range1976
Interquartile range (IQR)969.6

Descriptive statistics

Standard deviation591.0628
Coefficient of variation (CV)0.30836359
Kurtosis-0.93323342
Mean1916.7723
Median Absolute Deviation (MAD)497.88
Skewness0.37712399
Sum375687.38
Variance349355.23
MonotonicityNot monotonic
2023-12-11T09:51:17.725972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400.0 11
 
5.6%
3000.0 9
 
4.6%
2000.0 6
 
3.1%
1500.0 6
 
3.1%
2016.0 5
 
2.6%
1200.0 5
 
2.6%
2002.32 4
 
2.0%
1998.0 2
 
1.0%
2500.0 2
 
1.0%
1485.0 2
 
1.0%
Other values (134) 144
73.5%
ValueCountFrequency (%)
1024.0 1
0.5%
1025.1 1
0.5%
1037.5 1
0.5%
1043.2 2
1.0%
1058.4 1
0.5%
1068.8 2
1.0%
1084.0 1
0.5%
1094.4 1
0.5%
1100.05 1
0.5%
1144.64 1
0.5%
ValueCountFrequency (%)
3000.0 9
4.6%
2998.8 1
 
0.5%
2996.91 1
 
0.5%
2996.62 1
 
0.5%
2993.96 1
 
0.5%
2993.76 1
 
0.5%
2989.35 1
 
0.5%
2975.4 1
 
0.5%
2966.25 1
 
0.5%
2953.8 1
 
0.5%

설치장소
Text

Distinct183
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T09:51:18.027347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length41
Mean length24.770408
Min length14

Characters and Unicode

Total characters4855
Distinct characters243
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

Unique174 ?
Unique (%)88.8%

Sample

1st row진주시 정촌면 예하리 1241-2
2nd row사천시 곤양면 대진리 16-13
3rd row밀양시 삼랑진읍 용전리 573, 580
4th row함안군 가야읍 사내리 25-3 옥산IMT 본관동
5th row김해시 주촌면 농소리 625-4
ValueCountFrequency (%)
산 59
 
5.6%
창원시 54
 
5.2%
진해구 29
 
2.8%
고성군 20
 
1.9%
남문동 19
 
1.8%
사천시 16
 
1.5%
성산구 15
 
1.4%
1호 13
 
1.2%
창녕군 12
 
1.1%
김해시 11
 
1.0%
Other values (537) 800
76.3%
2023-12-11T09:51:18.579791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
852
 
17.5%
1 241
 
5.0%
산 151
 
3.1%
, 137
 
2.8%
지 127
 
2.6%
2 121
 
2.5%
리 120
 
2.5%
면 118
 
2.4%
3 106
 
2.2%
시 105
 
2.2%
Other values (233) 2777
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2581
53.2%
Decimal Number 1047
21.6%
Space Separator 852
 
17.5%
Other Punctuation 137
 
2.8%
Dash Punctuation 99
 
2.0%
Close Punctuation 59
 
1.2%
Open Punctuation 59
 
1.2%
Uppercase Letter 21
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 151
 
5.9%
지 127
 
4.9%
리 120
 
4.6%
면 118
 
4.6%
시 105
 
4.1%
번 102
 
4.0%
군 96
 
3.7%
동 85
 
3.3%
창 82
 
3.2%
로 79
 
3.1%
Other values (203) 1516
58.7%
Uppercase Letter
ValueCountFrequency (%)
G 3
14.3%
S 3
14.3%
K 2
 
9.5%
O 2
 
9.5%
L 1
 
4.8%
C 1
 
4.8%
D 1
 
4.8%
A 1
 
4.8%
E 1
 
4.8%
H 1
 
4.8%
Other values (5) 5
23.8%
Decimal Number
ValueCountFrequency (%)
1 241
23.0%
2 121
11.6%
3 106
10.1%
0 97
9.3%
4 96
 
9.2%
6 90
 
8.6%
5 90
 
8.6%
8 81
 
7.7%
9 65
 
6.2%
7 60
 
5.7%
Space Separator
ValueCountFrequency (%)
852
100.0%
Other Punctuation
ValueCountFrequency (%)
, 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2581
53.2%
Common 2253
46.4%
Latin 21
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 151
 
5.9%
지 127
 
4.9%
리 120
 
4.6%
면 118
 
4.6%
시 105
 
4.1%
번 102
 
4.0%
군 96
 
3.7%
동 85
 
3.3%
창 82
 
3.2%
로 79
 
3.1%
Other values (203) 1516
58.7%
Common
ValueCountFrequency (%)
852
37.8%
1 241
 
10.7%
, 137
 
6.1%
2 121
 
5.4%
3 106
 
4.7%
- 99
 
4.4%
0 97
 
4.3%
4 96
 
4.3%
6 90
 
4.0%
5 90
 
4.0%
Other values (5) 324
 
14.4%
Latin
ValueCountFrequency (%)
G 3
14.3%
S 3
14.3%
K 2
 
9.5%
O 2
 
9.5%
L 1
 
4.8%
C 1
 
4.8%
D 1
 
4.8%
A 1
 
4.8%
E 1
 
4.8%
H 1
 
4.8%
Other values (5) 5
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2581
53.2%
ASCII 2274
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
852
37.5%
1 241
 
10.6%
, 137
 
6.0%
2 121
 
5.3%
3 106
 
4.7%
- 99
 
4.4%
0 97
 
4.3%
4 96
 
4.2%
6 90
 
4.0%
5 90
 
4.0%
Other values (20) 345
15.2%
Hangul
ValueCountFrequency (%)
산 151
 
5.9%
지 127
 
4.9%
리 120
 
4.6%
면 118
 
4.6%
시 105
 
4.1%
번 102
 
4.0%
군 96
 
3.7%
동 85
 
3.3%
창 82
 
3.2%
로 79
 
3.1%
Other values (203) 1516
58.7%

원동력종류
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
태양광
170 
연료전지
 
16
바이오
 
4
폐기물
 
2
소수력
 
2

Length

Max length4
Median length3
Mean length3.0714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 170
86.7%
연료전지 16
 
8.2%
바이오 4
 
2.0%
폐기물 2
 
1.0%
소수력 2
 
1.0%
풍력 2
 
1.0%

Length

2023-12-11T09:51:18.775518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:51:18.929489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 170
86.7%
연료전지 16
 
8.2%
바이오 4
 
2.0%
폐기물 2
 
1.0%
소수력 2
 
1.0%
풍력 2
 
1.0%

상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
사업개시
98 
사업허가
80 
공사진행
18 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업허가
2nd row사업허가
3rd row공사진행
4th row사업허가
5th row사업허가

Common Values

ValueCountFrequency (%)
사업개시 98
50.0%
사업허가 80
40.8%
공사진행 18
 
9.2%

Length

2023-12-11T09:51:19.066529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:51:19.196801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 98
50.0%
사업허가 80
40.8%
공사진행 18
 
9.2%

Interactions

2023-12-11T09:51:14.981538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:51:14.797943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:51:15.097728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:51:14.881462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:51:19.286185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량(킬로와트)원동력종류상태
연번1.0000.5470.3430.741
설비용량(킬로와트)0.5471.0000.5150.528
원동력종류0.3430.5151.0000.723
상태0.7410.5280.7231.000
2023-12-11T09:51:19.398421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원동력종류상태
원동력종류1.0000.400
상태0.4001.000
2023-12-11T09:51:19.515757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량(킬로와트)원동력종류상태
연번1.000-0.0300.1820.600
설비용량(킬로와트)-0.0301.0000.2990.366
원동력종류0.1820.2991.0000.400
상태0.6000.3660.4001.000

Missing values

2023-12-11T09:51:15.261981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:51:15.390527image/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(킬로와트)설치장소원동력종류상태
012022-6480000-81-000142022-12-14해바라기발전3호 주식회사1148.48진주시 정촌면 예하리 1241-2태양광사업허가
122022-6480000-81-000132022-11-22주식회사 우리에너지(우리에너지 우드팰릿 바이오매스 발전소)2900.0사천시 곤양면 대진리 16-13바이오사업허가
232022-6480000-81-000122022-10-04태영산업(주)(태영산업(주) 2호 태양광발전소)1248.39밀양시 삼랑진읍 용전리 573, 580태양광공사진행
342022-6480000-81-000112022-09-16주식회사 상상11호(상상11호 옥산1호 태양광발전소)1380.12함안군 가야읍 사내리 25-3 옥산IMT 본관동태양광사업허가
452022-6480000-81-000102022-08-17진양금속(주)(진양1호발전소)1959.98김해시 주촌면 농소리 625-4태양광사업허가
562022-6480000-81-000092022-06-23(주)한국카본(한국카본솔렉트 초동 발전소)1144.64밀양시 초동면 신연로 262, 가,나,다동태양광사업개시
672022-6480000-81-000082022-06-02지에스이피에스(주)(LG전자 스마트파크1 태양광발전소)2517.2창원시 성산구 성산패총로 170, LG전자창원1공장(가음정동)태양광사업개시
782022-6480000-81-000072022-05-19(주)금아스틸(금아스틸2 태양광발전소)1224.3김해시 진영읍 하계로240번길 209-8태양광사업허가
892022-6480000-81-000062022-05-10유한회사 시너지에너지(아이티판넬 태양광발전소)1940.1진주시 지수면 지수로 349-20태양광공사진행
9102022-6480000-81-000052022-05-06한국동서발전(주) 하이닥트1공장 태양광발전소1058.4김해시 한림면 병동리 574번지태양광사업허가
연번허가번호허가일자상호설비용량(킬로와트)설치장소원동력종류상태
1861872011-6480000-81-000312011-07-13이글스에너지(주)2249.28창원시 성산구 성산패총로 9 (성산동,한화테크엠(주) 건물옥상)태양광사업개시
1871882010-6480000-81-000142010-07-19대명지이씨풍력발전(주)3000.0양산시 어실로 910 (어곡동,, 산489-16)풍력사업개시
1881892008-6480000-81-000412008-06-20마산시생활폐기물(소각장)처리시설2900.0창원시 마산합포구 진동면 공원묘원로 89폐기물사업개시
1891902007-6480000-81-000952007-12-20백운세일에너지(주)1500.0함양군 백전면 운산리 811번지 일원태양광사업개시
1901912007-6480000-81-000762007-11-28김해명동태양광발전 주식회사1538.6김해시 한림면 김해대로 1347태양광사업개시
1911922007-6480000-81-000722007-11-28합천솔라파크(주)1500.0합천군 가회면 월계리 산 112번지 외 3필지태양광사업개시
1921932007-6480000-81-000522007-09-03진수전력태양광발전소 (법인명 :(주)진수전력)2500.0진주시 수곡면 효자리 263-1태양광사업개시
1931942007-6480000-81-000242007-03-19(주)고암태양광발전1500.0창녕군 고암면 대암리 산 20번지 1호 외 8필지태양광사업개시
1941952007-6480000-81-000012007-01-10한국서부발전(주)2000.0밀양시 삼랑진읍 안태리 208번지 1호 일원태양광사업개시
1951961998-6480000-81-000011998-05-01한국수자원공사 밀양댐 소수력발전소1300.0밀양시 산외면 다원길 93소수력사업개시