Overview

Dataset statistics

Number of variables8
Number of observations2189
Missing cells26
Missing cells (%)0.1%
Duplicate rows309
Duplicate rows (%)14.1%
Total size in memory141.2 KiB
Average record size in memory66.1 B

Variable types

Numeric2
Categorical1
Text2
DateTime3

Dataset

Description광주광역시 광산구 내 태양광발전 설치 현황(발전소 명, 설비 용량, 소재지 주소, 최초 허가일, 개시일 등) 자료를 제공합니다.
Author광주광역시 광산구
URLhttps://www.data.go.kr/data/15034101/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 309 (14.1%) duplicate rowsDuplicates
종류 is highly imbalanced (98.0%)Imbalance

Reproduction

Analysis started2023-12-12 11:06:39.163604
Analysis finished2023-12-12 11:06:41.302144
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct737
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.97944
Minimum1
Maximum737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-12T20:06:41.423424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28
Q1137
median274
Q3432
95-th percentile627.6
Maximum737
Range736
Interquartile range (IQR)295

Descriptive statistics

Standard deviation186.46233
Coefficient of variation (CV)0.63643486
Kurtosis-0.77154051
Mean292.97944
Median Absolute Deviation (MAD)146
Skewness0.37990193
Sum641332
Variance34768.201
MonotonicityNot monotonic
2023-12-12T20:06:41.649992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
0.2%
231 4
 
0.2%
239 4
 
0.2%
238 4
 
0.2%
237 4
 
0.2%
236 4
 
0.2%
235 4
 
0.2%
234 4
 
0.2%
233 4
 
0.2%
232 4
 
0.2%
Other values (727) 2149
98.2%
ValueCountFrequency (%)
1 4
0.2%
2 4
0.2%
3 4
0.2%
4 4
0.2%
5 4
0.2%
6 4
0.2%
7 4
0.2%
8 4
0.2%
9 4
0.2%
10 4
0.2%
ValueCountFrequency (%)
737 1
< 0.1%
736 1
< 0.1%
735 1
< 0.1%
734 1
< 0.1%
733 1
< 0.1%
732 1
< 0.1%
731 1
< 0.1%
730 1
< 0.1%
729 1
< 0.1%
728 1
< 0.1%

종류
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
태양광
2181 
증기터빈
 
4
바이오가스
 
3
바이오 가스
 
1

Length

Max length6
Median length3
Mean length3.0059388
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 2181
99.6%
증기터빈 4
 
0.2%
바이오가스 3
 
0.1%
바이오 가스 1
 
< 0.1%

Length

2023-12-12T20:06:41.910637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:06:42.093586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 2181
99.6%
증기터빈 4
 
0.2%
바이오가스 3
 
0.1%
바이오 1
 
< 0.1%
가스 1
 
< 0.1%

법인명(발전소명)
Text

Distinct749
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2023-12-12T20:06:42.434347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length9.7555962
Min length2

Characters and Unicode

Total characters21355
Distinct characters379
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

Unique147 ?
Unique (%)6.7%

Sample

1st row빛모리태양광발전소
2nd row장수태양광발전소
3rd row금빛산이엔지태양광발전소
4th row㈜하이코리아
5th row동곡동주민복지회태양광발전소
ValueCountFrequency (%)
태양광발전소 59
 
2.6%
광주태양광발전소 11
 
0.5%
아진태양광발전소 8
 
0.4%
그린태양광발전소 8
 
0.4%
백광이엔지태양광발전소 8
 
0.4%
진곡태양광발전소 8
 
0.4%
첨단태양광발전소 7
 
0.3%
세아태양광발전소 7
 
0.3%
대진태양광발전소 7
 
0.3%
진양태양광발전소 7
 
0.3%
Other values (745) 2128
94.2%
2023-12-12T20:06:42.998902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 2164
 
10.1%
태 2084
 
9.8%
양 2050
 
9.6%
전 2007
 
9.4%
소 2001
 
9.4%
발 1996
 
9.3%
호 419
 
2.0%
이 406
 
1.9%
에 300
 
1.4%
㈜ 292
 
1.4%
Other values (369) 7636
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20201
94.6%
Decimal Number 449
 
2.1%
Other Symbol 292
 
1.4%
Uppercase Letter 160
 
0.7%
Open Punctuation 70
 
0.3%
Close Punctuation 70
 
0.3%
Space Separator 69
 
0.3%
Dash Punctuation 19
 
0.1%
Other Punctuation 15
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 2164
 
10.7%
태 2084
 
10.3%
양 2050
 
10.1%
전 2007
 
9.9%
소 2001
 
9.9%
발 1996
 
9.9%
호 419
 
2.1%
이 406
 
2.0%
에 300
 
1.5%
지 231
 
1.1%
Other values (328) 6543
32.4%
Uppercase Letter
ValueCountFrequency (%)
S 19
11.9%
N 16
10.0%
E 16
10.0%
K 14
 
8.8%
H 12
 
7.5%
G 12
 
7.5%
C 10
 
6.2%
Y 8
 
5.0%
T 7
 
4.4%
R 7
 
4.4%
Other values (9) 39
24.4%
Decimal Number
ValueCountFrequency (%)
1 164
36.5%
2 152
33.9%
3 48
 
10.7%
4 28
 
6.2%
5 20
 
4.5%
7 14
 
3.1%
0 11
 
2.4%
9 8
 
1.8%
6 3
 
0.7%
8 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
20.0%
o 2
20.0%
p 2
20.0%
e 2
20.0%
k 2
20.0%
Other Punctuation
ValueCountFrequency (%)
. 11
73.3%
& 4
 
26.7%
Other Symbol
ValueCountFrequency (%)
㈜ 292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20493
96.0%
Common 692
 
3.2%
Latin 170
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 2164
 
10.6%
태 2084
 
10.2%
양 2050
 
10.0%
전 2007
 
9.8%
소 2001
 
9.8%
발 1996
 
9.7%
호 419
 
2.0%
이 406
 
2.0%
에 300
 
1.5%
㈜ 292
 
1.4%
Other values (329) 6774
33.1%
Latin
ValueCountFrequency (%)
S 19
 
11.2%
N 16
 
9.4%
E 16
 
9.4%
K 14
 
8.2%
H 12
 
7.1%
G 12
 
7.1%
C 10
 
5.9%
Y 8
 
4.7%
T 7
 
4.1%
R 7
 
4.1%
Other values (14) 49
28.8%
Common
ValueCountFrequency (%)
1 164
23.7%
2 152
22.0%
( 70
10.1%
) 70
10.1%
69
10.0%
3 48
 
6.9%
4 28
 
4.0%
5 20
 
2.9%
- 19
 
2.7%
7 14
 
2.0%
Other values (6) 38
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20201
94.6%
ASCII 862
 
4.0%
None 292
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 2164
 
10.7%
태 2084
 
10.3%
양 2050
 
10.1%
전 2007
 
9.9%
소 2001
 
9.9%
발 1996
 
9.9%
호 419
 
2.1%
이 406
 
2.0%
에 300
 
1.5%
지 231
 
1.1%
Other values (328) 6543
32.4%
None
ValueCountFrequency (%)
㈜ 292
100.0%
ASCII
ValueCountFrequency (%)
1 164
19.0%
2 152
17.6%
( 70
 
8.1%
) 70
 
8.1%
69
 
8.0%
3 48
 
5.6%
4 28
 
3.2%
5 20
 
2.3%
- 19
 
2.2%
S 19
 
2.2%
Other values (30) 203
23.5%

설비용량(KW)
Real number (ℝ)

Distinct669
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.47063
Minimum5.04
Maximum2895.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-12T20:06:43.260011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.04
5-th percentile19.116
Q157.6
median99
Q3289.5
95-th percentile750
Maximum2895.17
Range2890.13
Interquartile range (IQR)231.9

Descriptive statistics

Standard deviation280.32147
Coefficient of variation (CV)1.2890084
Kurtosis17.249861
Mean217.47063
Median Absolute Deviation (MAD)69.075
Skewness3.3547944
Sum476043.21
Variance78580.125
MonotonicityNot monotonic
2023-12-12T20:06:43.503215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 130
 
5.9%
98.8 32
 
1.5%
97.2 31
 
1.4%
50.0 26
 
1.2%
99.2 24
 
1.1%
99.4 24
 
1.1%
99.28 22
 
1.0%
350.0 20
 
0.9%
97.92 19
 
0.9%
29.25 18
 
0.8%
Other values (659) 1843
84.2%
ValueCountFrequency (%)
5.04 4
0.2%
5.67 4
0.2%
9.0 4
0.2%
10.2 4
0.2%
11.76 4
0.2%
12.41 1
 
< 0.1%
12.75 2
0.1%
14.04 4
0.2%
14.175 4
0.2%
14.43 1
 
< 0.1%
ValueCountFrequency (%)
2895.17 1
 
< 0.1%
2629.26 3
0.1%
1999.58 4
0.2%
1702.98 2
0.1%
1573.83 1
 
< 0.1%
1500.0 1
 
< 0.1%
1496.88 3
0.1%
1457.64 3
0.1%
1385.56 1
 
< 0.1%
1300.0 4
0.2%

주소
Text

Distinct849
Distinct (%)38.8%
Missing3
Missing (%)0.1%
Memory size17.2 KiB
2023-12-12T20:06:43.893997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length21.982159
Min length15

Characters and Unicode

Total characters48053
Distinct characters161
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

Unique239 ?
Unique (%)10.9%

Sample

1st row광주광역시 광산구 대산동 172
2nd row광주광역시 광산구 수남안길 20
3rd row광주광역시 광산구 사암로106번길 77
4th row광주광역시 광산구 평동산단1번로 121
5th row광주광역시 광산구 동곡로 161-1
ValueCountFrequency (%)
광주광역시 2186
24.1%
광산구 2186
24.1%
평동산단2번로 75
 
0.8%
진곡산단3번로 67
 
0.7%
평동산단로 61
 
0.7%
평동로803번길 58
 
0.6%
진곡산단중앙로 56
 
0.6%
평동산단1번로 53
 
0.6%
하남산단9번로 52
 
0.6%
하남산단8번로 50
 
0.6%
Other values (929) 4232
46.6%
2023-12-12T20:06:44.516910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6890
 
14.3%
광 6569
 
13.7%
산 3218
 
6.7%
주 2255
 
4.7%
구 2189
 
4.6%
시 2186
 
4.5%
역 2186
 
4.5%
1 1940
 
4.0%
로 1823
 
3.8%
동 1331
 
2.8%
Other values (151) 17466
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30009
62.4%
Decimal Number 9029
 
18.8%
Space Separator 6890
 
14.3%
Dash Punctuation 987
 
2.1%
Open Punctuation 384
 
0.8%
Close Punctuation 384
 
0.8%
Other Punctuation 234
 
0.5%
Uppercase Letter 135
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 6569
21.9%
산 3218
10.7%
주 2255
 
7.5%
구 2189
 
7.3%
시 2186
 
7.3%
역 2186
 
7.3%
로 1823
 
6.1%
동 1331
 
4.4%
번 1143
 
3.8%
단 1004
 
3.3%
Other values (126) 6105
20.3%
Decimal Number
ValueCountFrequency (%)
1 1940
21.5%
2 1238
13.7%
3 1098
12.2%
5 782
8.7%
4 745
 
8.3%
6 740
 
8.2%
8 665
 
7.4%
0 610
 
6.8%
9 607
 
6.7%
7 604
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 54
40.0%
B 49
36.3%
C 16
 
11.9%
E 6
 
4.4%
D 4
 
3.0%
H 4
 
3.0%
K 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 230
98.3%
: 2
 
0.9%
/ 2
 
0.9%
Space Separator
ValueCountFrequency (%)
6890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 987
100.0%
Open Punctuation
ValueCountFrequency (%)
( 384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 384
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30009
62.4%
Common 17909
37.3%
Latin 135
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 6569
21.9%
산 3218
10.7%
주 2255
 
7.5%
구 2189
 
7.3%
시 2186
 
7.3%
역 2186
 
7.3%
로 1823
 
6.1%
동 1331
 
4.4%
번 1143
 
3.8%
단 1004
 
3.3%
Other values (126) 6105
20.3%
Common
ValueCountFrequency (%)
6890
38.5%
1 1940
 
10.8%
2 1238
 
6.9%
3 1098
 
6.1%
- 987
 
5.5%
5 782
 
4.4%
4 745
 
4.2%
6 740
 
4.1%
8 665
 
3.7%
0 610
 
3.4%
Other values (8) 2214
 
12.4%
Latin
ValueCountFrequency (%)
A 54
40.0%
B 49
36.3%
C 16
 
11.9%
E 6
 
4.4%
D 4
 
3.0%
H 4
 
3.0%
K 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30009
62.4%
ASCII 18044
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6890
38.2%
1 1940
 
10.8%
2 1238
 
6.9%
3 1098
 
6.1%
- 987
 
5.5%
5 782
 
4.3%
4 745
 
4.1%
6 740
 
4.1%
8 665
 
3.7%
0 610
 
3.4%
Other values (15) 2349
 
13.0%
Hangul
ValueCountFrequency (%)
광 6569
21.9%
산 3218
10.7%
주 2255
 
7.5%
구 2189
 
7.3%
시 2186
 
7.3%
역 2186
 
7.3%
로 1823
 
6.1%
동 1331
 
4.4%
번 1143
 
3.8%
단 1004
 
3.3%
Other values (126) 6105
20.3%

최초허가일
Date

Distinct228
Distinct (%)10.5%
Missing12
Missing (%)0.5%
Memory size17.2 KiB
Minimum2006-05-31 00:00:00
Maximum2021-09-30 00:00:00
2023-12-12T20:06:44.744304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:44.953058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개시일
Date

Distinct285
Distinct (%)13.1%
Missing11
Missing (%)0.5%
Memory size17.2 KiB
Minimum2006-06-28 00:00:00
Maximum2021-11-30 00:00:00
2023-12-12T20:06:45.152886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:45.366268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
Minimum2021-12-31 00:00:00
Maximum2021-12-31 00:00:00
2023-12-12T20:06:45.546727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:45.690337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:06:40.339488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:39.962794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:40.527677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:06:40.155762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:06:45.790775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류설비용량(KW)
연번1.0000.1020.140
종류0.1021.0000.329
설비용량(KW)0.1400.3291.000
2023-12-12T20:06:45.935905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량(KW)종류
연번1.0000.0260.061
설비용량(KW)0.0261.0000.152
종류0.0610.1521.000

Missing values

2023-12-12T20:06:40.752553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:06:41.003497image/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.
2023-12-12T20:06:41.197183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번종류법인명(발전소명)설비용량(KW)주소최초허가일개시일데이터기준일자
01태양광빛모리태양광발전소28.0광주광역시 광산구 대산동 1722007-06-302008-04-302021-12-31
12태양광장수태양광발전소5.67광주광역시 광산구 수남안길 202008-11-302009-04-302021-12-31
23태양광금빛산이엔지태양광발전소29.925광주광역시 광산구 사암로106번길 77<NA>2011-12-312021-12-31
34태양광㈜하이코리아29.925광주광역시 광산구 평동산단1번로 1212010-09-302012-01-312021-12-31
45태양광동곡동주민복지회태양광발전소47.6광주광역시 광산구 동곡로 161-1<NA>2010-08-312021-12-31
56증기터빈초당환경(유)1100.0광주광역시 광산구 금동학동길 306-23<NA>2012-01-312021-12-31
67태양광이글스에너지㈜1999.58광주광역시 광산구 송치동 180-232011-03-312012-04-302021-12-31
78태양광오선동태양광발전소59.8광주광역시 광산구 하남산단6번로 802011-08-312012-07-312021-12-31
89태양광디케이솔라파워태양광발전소1000.0광주광역시 광산구 평동산단로 3602011-11-302014-08-312021-12-31
910태양광㈜지용금속태양광발전소2호99.75광주광역시 광산구 하남산단천변우로126-82011-12-312012-03-312021-12-31
연번종류법인명(발전소명)설비용량(KW)주소최초허가일개시일데이터기준일자
2179338태양광다솜태양광발전소14.835광주광역시 광산구 신가삼효로 22-142018-05-292018-10-292021-12-31
2180339태양광한스정밀태양광발전소248.2광주광역시 광산구 진곡산단3번로 59-182018-05-292018-10-312021-12-31
2181340태양광아진정공태양광발전소148.92광주광역시 광산구 진곡산단4번로 51-122018-05-292018-10-312021-12-31
2182341태양광제이티태양광발전소97.2광주광역시 광산구 풍영정길 297-632018-06-302018-11-292021-12-31
2183342태양광건우기업449.68광주광역시 광산구 상무대로 972018-06-292018-11-302021-12-31
2184343태양광국영태양광발전소43.125광주광역시 광산구 상무대로 529-262018-06-292018-11-302021-12-31
2185344태양광아진태양광발전소19.72광주광역시 광산구 송도로 2602018-06-292018-09-282021-12-31
2186345태양광해오름그린파워태양광발전소248.64광주광역시 광산구 비아중앙로 792018-06-292018-10-292021-12-31
2187346태양광조은태양광발전소99.36광주광역시 광산구 평동산단로 182-12018-06-292018-08-292021-12-31
2188347태양광주현197.1광주광역시 광산구 진곡산단3번로 41-362018-09-302018-11-292021-12-31

Duplicate rows

Most frequently occurring

연번종류법인명(발전소명)설비용량(KW)주소최초허가일개시일데이터기준일자# duplicates
56증기터빈초당환경(유)1100.0광주광역시 광산구 금동학동길 306-23<NA>2012-01-312021-12-314
4244태양광대산태양광발전소29.88광주광역시 광산구 대산동 543-12013-09-302014-07-312021-12-314
5962태양광케이에스솔라신성12호태양광발전소215.0광주광역시 광산구 평동로 803번길 1512013-09-302013-12-312021-12-314
01태양광빛모리태양광발전소28.0광주광역시 광산구 대산동 1722007-06-302008-04-302021-12-313
12태양광장수태양광발전소5.67광주광역시 광산구 수남안길 202008-11-302009-04-302021-12-313
23태양광금빛산이엔지태양광발전소29.925광주광역시 광산구 사암로106번길 77<NA>2011-12-312021-12-313
34태양광㈜하이코리아29.925광주광역시 광산구 평동산단1번로 1212010-09-302012-01-312021-12-313
45태양광동곡동주민복지회태양광발전소47.6광주광역시 광산구 동곡로 161-1<NA>2010-08-312021-12-313
67태양광이글스에너지㈜1999.58광주광역시 광산구 송치동 180-232011-03-312012-04-302021-12-313
78태양광오선동태양광발전소59.8광주광역시 광산구 하남산단6번로 802011-08-312012-07-312021-12-313