Overview

Dataset statistics

Number of variables11
Number of observations511
Missing cells381
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.5 KiB
Average record size in memory91.3 B

Variable types

Numeric2
Text2
Categorical4
DateTime3

Dataset

Description강원도 고성군 태양광 발전소 설치 허가 현황
Author강원도 고성군
URLhttps://www.data.go.kr/data/15034120/fileData.do

Alerts

기준일자 has constant value ""Constant
원동력의종류 is highly imbalanced (98.0%)Imbalance
공급전압V is highly imbalanced (57.5%)Imbalance
주파수Hz is highly imbalanced (98.0%)Imbalance
사업개시일 has 381 (74.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:14:30.994565
Analysis finished2023-12-12 08:14:32.296461
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256
Minimum1
Maximum511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T17:14:32.389920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.5
Q1128.5
median256
Q3383.5
95-th percentile485.5
Maximum511
Range510
Interquartile range (IQR)255

Descriptive statistics

Standard deviation147.65726
Coefficient of variation (CV)0.57678617
Kurtosis-1.2
Mean256
Median Absolute Deviation (MAD)128
Skewness0
Sum130816
Variance21802.667
MonotonicityStrictly increasing
2023-12-12T17:14:32.544153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
Other values (501) 501
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%
504 1
0.2%
503 1
0.2%
502 1
0.2%

상호
Text

Distinct498
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T17:14:32.993426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length11.213307
Min length3

Characters and Unicode

Total characters5730
Distinct characters285
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

Unique485 ?
Unique (%)94.9%

Sample

1st row주강3호 태양광발전소
2nd row주강2호 태양광발전소
3rd row효림에너지
4th row(주)강원학교태양광
5th row대평 태양광발전소
ValueCountFrequency (%)
태양광발전소 347
35.3%
1호 13
 
1.3%
주)혜원솔라 13
 
1.3%
발전소 9
 
0.9%
2호 9
 
0.9%
지에스피브이앤이 8
 
0.8%
고성1호 6
 
0.6%
고성2호 6
 
0.6%
성현 5
 
0.5%
고성 5
 
0.5%
Other values (500) 561
57.1%
2023-12-12T17:14:33.558150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
 
8.2%
435
 
7.6%
432
 
7.5%
424
 
7.4%
412
 
7.2%
411
 
7.2%
405
 
7.1%
183
 
3.2%
154
 
2.7%
( 150
 
2.6%
Other values (275) 2253
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4615
80.5%
Space Separator 471
 
8.2%
Decimal Number 278
 
4.9%
Open Punctuation 150
 
2.6%
Close Punctuation 149
 
2.6%
Uppercase Letter 45
 
0.8%
Dash Punctuation 13
 
0.2%
Other Symbol 6
 
0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
435
 
9.4%
432
 
9.4%
424
 
9.2%
412
 
8.9%
411
 
8.9%
405
 
8.8%
183
 
4.0%
154
 
3.3%
93
 
2.0%
82
 
1.8%
Other values (243) 1584
34.3%
Uppercase Letter
ValueCountFrequency (%)
H 7
15.6%
S 7
15.6%
Y 4
8.9%
K 4
8.9%
E 4
8.9%
D 3
6.7%
C 3
6.7%
P 3
6.7%
J 3
6.7%
T 2
 
4.4%
Other values (5) 5
11.1%
Decimal Number
ValueCountFrequency (%)
1 95
34.2%
2 80
28.8%
3 44
15.8%
4 16
 
5.8%
7 13
 
4.7%
5 12
 
4.3%
0 7
 
2.5%
8 5
 
1.8%
6 4
 
1.4%
9 2
 
0.7%
Space Separator
ValueCountFrequency (%)
471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4621
80.6%
Common 1062
 
18.5%
Latin 47
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
435
 
9.4%
432
 
9.3%
424
 
9.2%
412
 
8.9%
411
 
8.9%
405
 
8.8%
183
 
4.0%
154
 
3.3%
93
 
2.0%
82
 
1.8%
Other values (244) 1590
34.4%
Latin
ValueCountFrequency (%)
H 7
14.9%
S 7
14.9%
Y 4
8.5%
K 4
8.5%
E 4
8.5%
D 3
6.4%
C 3
6.4%
P 3
6.4%
J 3
6.4%
T 2
 
4.3%
Other values (6) 7
14.9%
Common
ValueCountFrequency (%)
471
44.4%
( 150
 
14.1%
) 149
 
14.0%
1 95
 
8.9%
2 80
 
7.5%
3 44
 
4.1%
4 16
 
1.5%
7 13
 
1.2%
- 13
 
1.2%
5 12
 
1.1%
Other values (5) 19
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4615
80.5%
ASCII 1109
 
19.4%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
42.5%
( 150
 
13.5%
) 149
 
13.4%
1 95
 
8.6%
2 80
 
7.2%
3 44
 
4.0%
4 16
 
1.4%
7 13
 
1.2%
- 13
 
1.2%
5 12
 
1.1%
Other values (21) 66
 
6.0%
Hangul
ValueCountFrequency (%)
435
 
9.4%
432
 
9.4%
424
 
9.2%
412
 
8.9%
411
 
8.9%
405
 
8.8%
183
 
4.0%
154
 
3.3%
93
 
2.0%
82
 
1.8%
Other values (243) 1584
34.3%
None
ValueCountFrequency (%)
6
100.0%
Distinct324
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T17:14:33.834491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length54
Mean length25.254403
Min length18

Characters and Unicode

Total characters12905
Distinct characters121
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

Unique242 ?
Unique (%)47.4%

Sample

1st row강원도 고성군 현내면 산학리 산 57번지 6호
2nd row강원도 고성군 현내면 산학리 산 57번지 6호
3rd row강원도 고성군 토성면 용촌리 555번지
4th row강원도 고성군 거진읍 자산길 19
5th row강원도 고성군 거진읍 봉평리 596-1
ValueCountFrequency (%)
강원도 511
 
16.1%
고성군 510
 
16.1%
218
 
6.9%
거진읍 163
 
5.1%
간성읍 152
 
4.8%
죽왕면 77
 
2.4%
1호 74
 
2.3%
토성면 68
 
2.1%
송강리 65
 
2.1%
현내면 50
 
1.6%
Other values (429) 1279
40.4%
2023-12-12T17:14:34.260364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2660
20.6%
769
 
6.0%
577
 
4.5%
529
 
4.1%
518
 
4.0%
516
 
4.0%
510
 
4.0%
510
 
4.0%
476
 
3.7%
470
 
3.6%
Other values (111) 5370
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7743
60.0%
Space Separator 2660
 
20.6%
Decimal Number 2160
 
16.7%
Dash Punctuation 138
 
1.1%
Other Punctuation 75
 
0.6%
Open Punctuation 53
 
0.4%
Close Punctuation 53
 
0.4%
Other Symbol 14
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
769
 
9.9%
577
 
7.5%
529
 
6.8%
518
 
6.7%
516
 
6.7%
510
 
6.6%
510
 
6.6%
476
 
6.1%
470
 
6.1%
315
 
4.1%
Other values (91) 2553
33.0%
Decimal Number
ValueCountFrequency (%)
1 427
19.8%
3 254
11.8%
2 252
11.7%
4 247
11.4%
5 227
10.5%
7 191
8.8%
0 153
 
7.1%
9 144
 
6.7%
6 140
 
6.5%
8 125
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 65
86.7%
. 7
 
9.3%
/ 3
 
4.0%
Space Separator
ValueCountFrequency (%)
2660
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Other Symbol
ValueCountFrequency (%)
14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7743
60.0%
Common 5158
40.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
769
 
9.9%
577
 
7.5%
529
 
6.8%
518
 
6.7%
516
 
6.7%
510
 
6.6%
510
 
6.6%
476
 
6.1%
470
 
6.1%
315
 
4.1%
Other values (91) 2553
33.0%
Common
ValueCountFrequency (%)
2660
51.6%
1 427
 
8.3%
3 254
 
4.9%
2 252
 
4.9%
4 247
 
4.8%
5 227
 
4.4%
7 191
 
3.7%
0 153
 
3.0%
9 144
 
2.8%
6 140
 
2.7%
Other values (9) 463
 
9.0%
Latin
ValueCountFrequency (%)
m 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7743
60.0%
ASCII 5148
39.9%
CJK Compat 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2660
51.7%
1 427
 
8.3%
3 254
 
4.9%
2 252
 
4.9%
4 247
 
4.8%
5 227
 
4.4%
7 191
 
3.7%
0 153
 
3.0%
9 144
 
2.8%
6 140
 
2.7%
Other values (9) 453
 
8.8%
Hangul
ValueCountFrequency (%)
769
 
9.9%
577
 
7.5%
529
 
6.8%
518
 
6.7%
516
 
6.7%
510
 
6.6%
510
 
6.6%
476
 
6.1%
470
 
6.1%
315
 
4.1%
Other values (91) 2553
33.0%
CJK Compat
ValueCountFrequency (%)
14
100.0%

영업구분
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
인허가
333 
사업개시
128 
공사진행
50 

Length

Max length4
Median length3
Mean length3.3483366
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 333
65.2%
사업개시 128
 
25.0%
공사진행 50
 
9.8%

Length

2023-12-12T17:14:34.408013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:14:34.512259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 333
65.2%
사업개시 128
 
25.0%
공사진행 50
 
9.8%

원동력의종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
태양광
510 
소수력
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 510
99.8%
소수력 1
 
0.2%

Length

2023-12-12T17:14:34.630761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:14:34.748464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 510
99.8%
소수력 1
 
0.2%

설비용량KW
Real number (ℝ)

Distinct179
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460.7645
Minimum9.75
Maximum9993.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T17:14:34.884341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.75
5-th percentile77.455
Q199.08
median201.6
Q3989.46
95-th percentile999.12
Maximum9993.6
Range9983.85
Interquartile range (IQR)890.38

Descriptive statistics

Standard deviation697.44137
Coefficient of variation (CV)1.5136612
Kurtosis124.2476
Mean460.7645
Median Absolute Deviation (MAD)128.56
Skewness9.4728107
Sum235450.66
Variance486424.46
MonotonicityNot monotonic
2023-12-12T17:14:35.032236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.2 25
 
4.9%
997.92 22
 
4.3%
97.92 18
 
3.5%
997.56 18
 
3.5%
999.6 17
 
3.3%
498.96 16
 
3.1%
99.9 16
 
3.1%
99.45 14
 
2.7%
99.0 10
 
2.0%
97.2 10
 
2.0%
Other values (169) 345
67.5%
ValueCountFrequency (%)
9.75 1
 
0.2%
19.88 1
 
0.2%
29.52 1
 
0.2%
29.64 2
0.4%
29.92 1
 
0.2%
29.97 3
0.6%
38.16 1
 
0.2%
40.8 1
 
0.2%
49.2 1
 
0.2%
49.5 1
 
0.2%
ValueCountFrequency (%)
9993.6 1
 
0.2%
9576.0 1
 
0.2%
999.9 3
 
0.6%
999.8 1
 
0.2%
999.6 17
3.3%
999.12 6
 
1.2%
999.0 5
 
1.0%
998.64 2
 
0.4%
998.4 6
 
1.2%
997.92 22
4.3%

공급전압V
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
380
356 
22,900
137 
380-220
 
11
22900
 
3
220/380
 
2

Length

Max length7
Median length3
Mean length3.9178082
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row380
2nd row380
3rd row380
4th row380
5th row380

Common Values

ValueCountFrequency (%)
380 356
69.7%
22,900 137
 
26.8%
380-220 11
 
2.2%
22900 3
 
0.6%
220/380 2
 
0.4%
220 2
 
0.4%

Length

2023-12-12T17:14:35.199694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:14:35.344553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 356
69.7%
22,900 137
 
26.8%
380-220 11
 
2.2%
22900 3
 
0.6%
220/380 2
 
0.4%
220 2
 
0.4%

주파수Hz
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
60
510 
380
 
1

Length

Max length3
Median length2
Mean length2.0019569
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 510
99.8%
380 1
 
0.2%

Length

2023-12-12T17:14:35.493793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:14:35.610024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 510
99.8%
380 1
 
0.2%
Distinct146
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2015-09-04 00:00:00
Maximum2020-04-03 00:00:00
2023-12-12T17:14:35.743727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:14:35.895682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct29
Distinct (%)22.3%
Missing381
Missing (%)74.6%
Memory size4.1 KiB
Minimum2016-01-14 00:00:00
Maximum2020-04-07 00:00:00
2023-12-12T17:14:36.069524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:14:36.496459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2020-04-14 00:00:00
Maximum2020-04-14 00:00:00
2023-12-12T17:14:36.633923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:14:36.734278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:14:31.799356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:14:31.593501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:14:31.904735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:14:31.699606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:14:36.822517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업구분원동력의종류설비용량KW공급전압V주파수Hz사업개시일
순번1.0000.5310.0110.0000.4750.0110.895
영업구분0.5311.0000.0720.0000.5110.0000.000
원동력의종류0.0110.0721.0000.0000.0000.000NaN
설비용량KW0.0000.0000.0001.0000.0000.000NaN
공급전압V0.4750.5110.0000.0001.0000.0000.921
주파수Hz0.0110.0000.0000.0000.0001.000NaN
사업개시일0.8950.000NaNNaN0.921NaN1.000
2023-12-12T17:14:36.955982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급전압V영업구분원동력의종류주파수Hz
공급전압V1.0000.2440.0000.000
영업구분0.2441.0000.1190.000
원동력의종류0.0000.1191.0000.000
주파수Hz0.0000.0000.0001.000
2023-12-12T17:14:37.048031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량KW영업구분원동력의종류공급전압V주파수Hz
순번1.000-0.0810.3720.0000.2710.006
설비용량KW-0.0811.0000.0000.0000.0000.000
영업구분0.3720.0001.0000.1190.2440.000
원동력의종류0.0000.0000.1191.0000.0000.000
공급전압V0.2710.0000.2440.0001.0000.000
주파수Hz0.0060.0000.0000.0000.0001.000

Missing values

2023-12-12T17:14:32.049639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:14:32.230946image/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

순번상호설치장소소재지영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자사업개시일기준일자
01주강3호 태양광발전소강원도 고성군 현내면 산학리 산 57번지 6호공사진행태양광197.64380602015-09-04<NA>2020-04-14
12주강2호 태양광발전소강원도 고성군 현내면 산학리 산 57번지 6호공사진행태양광99.0380602015-09-04<NA>2020-04-14
23효림에너지강원도 고성군 토성면 용촌리 555번지사업개시태양광393.6380602015-10-082016-05-262020-04-14
34(주)강원학교태양광강원도 고성군 거진읍 자산길 19사업개시태양광83.2380602015-10-082017-04-042020-04-14
45대평 태양광발전소강원도 고성군 거진읍 봉평리 596-1사업개시태양광97.2380602015-10-272016-01-142020-04-14
56해광 태양광발전소강원도 고성군 거진읍 초계리 산 110-1번지공사진행태양광97.2380602015-11-25<NA>2020-04-14
67경재 태양광발전소강원도 고성군 거진읍 초계리 산 110-1번지공사진행태양광97.2380602015-11-25<NA>2020-04-14
78현성 태양광발전소강원도 고성군 거진읍 초계리 산 110, 110-1번지공사진행태양광97.2380602015-11-25<NA>2020-04-14
89효빈 태양광발전소강원도 고성군 거진읍 초계리 산 110-1번지공사진행태양광97.2380602015-11-25<NA>2020-04-14
910유정 태양광발전소강원도 고성군 거진읍 초계리 산 110-1번지공사진행태양광97.2380602015-11-25<NA>2020-04-14
순번상호설치장소소재지영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자사업개시일기준일자
501502성현 태양광4호 발전소강원도 고성군 간성읍 해상리 114번지 1호 115-1(건물위)513.58m2인허가태양광9576.0380602020-03-23<NA>2020-04-14
502503성현 태양광3호 발전소강원도 고성군 간성읍 해상리 114번지 1호 115-1(건물위)인허가태양광95.76380602020-03-23<NA>2020-04-14
503504성현 태양광2호 발전소강원도 고성군 간성읍 해상리 114번지 1호 115-1(건물위)513.58m2인허가태양광95.76380602020-03-23<NA>2020-04-14
504505재선 태양광발전소강원도 고성군 간성읍 교동리 446번지 4호 446-5(513㎡)인허가태양광99.9380602020-04-03<NA>2020-04-14
505506송강발전소 2호강원도 고성군 거진읍 송강리 291번지 건물위, 50㎡인허가태양광9.75380602020-04-03<NA>2020-04-14
506507KH에너지 고성태양광발전소강원도 고성군 거진읍 송강리 457번지 (455㎡)답인허가태양광29.97380602020-04-03<NA>2020-04-14
507508윤우 태양광발전소강원도 고성군 거진읍 송강리 457번지 (485㎡)답인허가태양광29.97380602020-04-03<NA>2020-04-14
508509제제 태양광발전소강원도 고성군 거진읍 송강리 457번지 (465㎡)답인허가태양광29.97380602020-04-03<NA>2020-04-14
509510탑골 태양광발전소강원도 고성군 간성읍 탑동리 135번지 (465㎡)전인허가태양광96.0380602020-04-03<NA>2020-04-14
510511수영 태양광발전소강원도 고성군 간성읍 교동리 753번지 9호 753-13(건물위)(472㎡)인허가태양광91.7380602020-04-03<NA>2020-04-14