Overview

Dataset statistics

Number of variables9
Number of observations263
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory75.5 B

Variable types

Numeric3
Categorical4
Text2

Dataset

Description광주광역시 지역에 있는 공공기관들의 신재생에너지(태양광) 보급현황 데이터입니다. 기관, 소재지주소, 에너지원, 용량 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15054766/fileData.do

Alerts

에너지원 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
설비용량(kw) is highly overall correlated with 면적(제곱미터)High correlation
면적(제곱미터) is highly overall correlated with 설비용량(kw)High correlation
구분 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
사용처 is highly overall correlated with 구분High correlation
사용처 is highly imbalanced (67.2%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-16 16:01:37.796429
Analysis finished2023-12-16 16:01:43.759355
Duration5.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132
Minimum1
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-16T16:01:43.997836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.1
Q166.5
median132
Q3197.5
95-th percentile249.9
Maximum263
Range262
Interquartile range (IQR)131

Descriptive statistics

Standard deviation76.065761
Coefficient of variation (CV)0.57625577
Kurtosis-1.2
Mean132
Median Absolute Deviation (MAD)66
Skewness0
Sum34716
Variance5786
MonotonicityStrictly increasing
2023-12-16T16:01:44.537276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
182 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
Other values (253) 253
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%

구분
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
광주광역시 교육청
78 
서구
34 
광산구
34 
본청
27 
남구
20 
Other values (14)
70 

Length

Max length14
Median length13
Mean length5.2851711
Min length2

Unique

Unique4 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 교육청 78
29.7%
서구 34
12.9%
광산구 34
12.9%
본청 27
 
10.3%
남구 20
 
7.6%
북구 17
 
6.5%
광주 환경공단 12
 
4.6%
광주광역시 도시공사 12
 
4.6%
동구 9
 
3.4%
대한체육회 5
 
1.9%
Other values (9) 15
 
5.7%

Length

2023-12-16T16:01:45.171175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광주광역시 90
24.7%
교육청 78
21.4%
서구 34
 
9.3%
광산구 34
 
9.3%
본청 27
 
7.4%
남구 20
 
5.5%
북구 17
 
4.7%
광주 12
 
3.3%
환경공단 12
 
3.3%
도시공사 12
 
3.3%
Other values (11) 29
 
7.9%

관리기관(부서)명
Text

Distinct217
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-16T16:01:45.913269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.1178707
Min length3

Characters and Unicode

Total characters2135
Distinct characters204
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

Unique206 ?
Unique (%)78.3%

Sample

1st row회계과
2nd row서부농수산물도매시장관리사무소
3rd row김치타운관리사무소
4th row상수도사업본부
5th row상수도사업본부
ValueCountFrequency (%)
광주광역시 23
 
7.5%
광주환경공단 12
 
3.9%
도시공사 12
 
3.9%
상수도사업본부 10
 
3.2%
행정복지센터 9
 
2.9%
광주광역시체육회 5
 
1.6%
광산소방서 5
 
1.6%
하남3지구 4
 
1.3%
광주교통공사 3
 
1.0%
재)광주정보문화산업진흥원 2
 
0.6%
Other values (219) 223
72.4%
2023-12-16T16:01:47.214912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 123
 
5.8%
주 88
 
4.1%
교 79
 
3.7%
학 76
 
3.6%
지 69
 
3.2%
동 66
 
3.1%
터 62
 
2.9%
센 61
 
2.9%
정 59
 
2.8%
등 57
 
2.7%
Other values (194) 1395
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2029
95.0%
Space Separator 45
 
2.1%
Decimal Number 35
 
1.6%
Close Punctuation 13
 
0.6%
Open Punctuation 13
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 123
 
6.1%
주 88
 
4.3%
교 79
 
3.9%
학 76
 
3.7%
지 69
 
3.4%
동 66
 
3.3%
터 62
 
3.1%
센 61
 
3.0%
정 59
 
2.9%
등 57
 
2.8%
Other values (185) 1289
63.5%
Decimal Number
ValueCountFrequency (%)
1 14
40.0%
2 9
25.7%
3 7
20.0%
5 2
 
5.7%
4 2
 
5.7%
9 1
 
2.9%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2029
95.0%
Common 106
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 123
 
6.1%
주 88
 
4.3%
교 79
 
3.9%
학 76
 
3.7%
지 69
 
3.4%
동 66
 
3.3%
터 62
 
3.1%
센 61
 
3.0%
정 59
 
2.9%
등 57
 
2.8%
Other values (185) 1289
63.5%
Common
ValueCountFrequency (%)
45
42.5%
1 14
 
13.2%
) 13
 
12.3%
( 13
 
12.3%
2 9
 
8.5%
3 7
 
6.6%
5 2
 
1.9%
4 2
 
1.9%
9 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2029
95.0%
ASCII 106
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 123
 
6.1%
주 88
 
4.3%
교 79
 
3.9%
학 76
 
3.7%
지 69
 
3.4%
동 66
 
3.3%
터 62
 
3.1%
센 61
 
3.0%
정 59
 
2.9%
등 57
 
2.8%
Other values (185) 1289
63.5%
ASCII
ValueCountFrequency (%)
45
42.5%
1 14
 
13.2%
) 13
 
12.3%
( 13
 
12.3%
2 9
 
8.5%
3 7
 
6.6%
5 2
 
1.9%
4 2
 
1.9%
9 1
 
0.9%

소재지도로명주소(건물명)
Text

Distinct256
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-16T16:01:48.266422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length22.041825
Min length14

Characters and Unicode

Total characters5797
Distinct characters226
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

Unique249 ?
Unique (%)94.7%

Sample

1st row광주광역시 서구 내방로 111(본청사)
2nd row광주광역시 서구 매월2로 16
3rd row광주광역시 남구 김치로 60
4th row광주광역시 광산구 우산로 81(광산사업소)
5th row광주광역시 동구 선교로 84-10(용연정수장)
ValueCountFrequency (%)
광주광역시 262
23.8%
광산구 82
 
7.4%
서구 62
 
5.6%
남구 50
 
4.5%
북구 48
 
4.4%
동구 21
 
1.9%
외 8
 
0.7%
장덕동 7
 
0.6%
1 7
 
0.6%
신용동 6
 
0.5%
Other values (453) 550
49.9%
2023-12-16T16:01:50.281415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
840
 
14.5%
광 618
 
10.7%
주 282
 
4.9%
시 269
 
4.6%
구 268
 
4.6%
역 266
 
4.6%
1 231
 
4.0%
동 198
 
3.4%
로 143
 
2.5%
2 127
 
2.2%
Other values (216) 2555
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3626
62.5%
Decimal Number 982
 
16.9%
Space Separator 840
 
14.5%
Open Punctuation 122
 
2.1%
Close Punctuation 122
 
2.1%
Dash Punctuation 86
 
1.5%
Control 12
 
0.2%
Other Punctuation 4
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 618
17.0%
주 282
 
7.8%
시 269
 
7.4%
구 268
 
7.4%
역 266
 
7.3%
동 198
 
5.5%
로 143
 
3.9%
산 121
 
3.3%
길 77
 
2.1%
서 71
 
2.0%
Other values (197) 1313
36.2%
Decimal Number
ValueCountFrequency (%)
1 231
23.5%
2 127
12.9%
3 88
 
9.0%
4 85
 
8.7%
5 81
 
8.2%
7 78
 
7.9%
6 76
 
7.7%
0 75
 
7.6%
8 71
 
7.2%
9 70
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
840
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3626
62.5%
Common 2168
37.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 618
17.0%
주 282
 
7.8%
시 269
 
7.4%
구 268
 
7.4%
역 266
 
7.3%
동 198
 
5.5%
로 143
 
3.9%
산 121
 
3.3%
길 77
 
2.1%
서 71
 
2.0%
Other values (197) 1313
36.2%
Common
ValueCountFrequency (%)
840
38.7%
1 231
 
10.7%
2 127
 
5.9%
( 122
 
5.6%
) 122
 
5.6%
3 88
 
4.1%
- 86
 
4.0%
4 85
 
3.9%
5 81
 
3.7%
7 78
 
3.6%
Other values (6) 308
 
14.2%
Latin
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3626
62.5%
ASCII 2171
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
840
38.7%
1 231
 
10.6%
2 127
 
5.8%
( 122
 
5.6%
) 122
 
5.6%
3 88
 
4.1%
- 86
 
4.0%
4 85
 
3.9%
5 81
 
3.7%
7 78
 
3.6%
Other values (9) 311
 
14.3%
Hangul
ValueCountFrequency (%)
광 618
17.0%
주 282
 
7.8%
시 269
 
7.4%
구 268
 
7.4%
역 266
 
7.3%
동 198
 
5.5%
로 143
 
3.9%
산 121
 
3.3%
길 77
 
2.1%
서 71
 
2.0%
Other values (197) 1313
36.2%

에너지원
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
태양광(kw)
263 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row태양광(kw)
2nd row태양광(kw)
3rd row태양광(kw)
4th row태양광(kw)
5th row태양광(kw)

Common Values

ValueCountFrequency (%)
태양광(kw) 263
100.0%

Length

2023-12-16T16:01:50.830331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:01:51.208131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광(kw 263
100.0%

설비용량(kw)
Real number (ℝ)

HIGH CORRELATION 

Distinct119
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.19787
Minimum3
Maximum5524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-16T16:01:51.653160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q110
median30
Q375.72
95-th percentile329.37
Maximum5524
Range5521
Interquartile range (IQR)65.72

Descriptive statistics

Standard deviation462.45181
Coefficient of variation (CV)3.6644977
Kurtosis83.400243
Mean126.19787
Median Absolute Deviation (MAD)25
Skewness8.4077243
Sum33190.04
Variance213861.68
MonotonicityNot monotonic
2023-12-16T16:01:52.235250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 30
 
11.4%
10.0 17
 
6.5%
5.0 17
 
6.5%
20.0 16
 
6.1%
15.0 15
 
5.7%
30.0 11
 
4.2%
60.0 9
 
3.4%
9.0 8
 
3.0%
50.0 6
 
2.3%
35.0 5
 
1.9%
Other values (109) 129
49.0%
ValueCountFrequency (%)
3.0 30
11.4%
5.0 17
6.5%
5.25 2
 
0.8%
6.0 1
 
0.4%
8.0 2
 
0.8%
8.4 1
 
0.4%
9.0 8
 
3.0%
10.0 17
6.5%
11.0 1
 
0.4%
12.0 1
 
0.4%
ValueCountFrequency (%)
5524.0 1
0.4%
3399.0 1
0.4%
2585.0 1
0.4%
1668.0 1
0.4%
1500.0 1
0.4%
1299.0 1
0.4%
995.0 1
0.4%
803.34 1
0.4%
696.0 1
0.4%
600.0 1
0.4%

사용처
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
자가소비
239 
발전사업(부지임대)
 
17
발전사업
 
7

Length

Max length10
Median length4
Mean length4.3878327
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자가소비
2nd row자가소비
3rd row자가소비
4th row자가소비
5th row발전사업(부지임대)

Common Values

ValueCountFrequency (%)
자가소비 239
90.9%
발전사업(부지임대) 17
 
6.5%
발전사업 7
 
2.7%

Length

2023-12-16T16:01:52.893928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:01:53.401389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가소비 239
90.9%
발전사업(부지임대 17
 
6.5%
발전사업 7
 
2.7%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct193
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1582.3316
Minimum14
Maximum67370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-16T16:01:53.882490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile16
Q164
median320
Q31321
95-th percentile4120.8
Maximum67370
Range67356
Interquartile range (IQR)1257

Descriptive statistics

Standard deviation4928.3286
Coefficient of variation (CV)3.1145992
Kurtosis124.08994
Mean1582.3316
Median Absolute Deviation (MAD)300
Skewness9.9716631
Sum416153.2
Variance24288423
MonotonicityNot monotonic
2023-12-16T16:01:54.722900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.0 14
 
5.3%
20.0 11
 
4.2%
35.0 6
 
2.3%
200.0 6
 
2.3%
42.0 5
 
1.9%
64.0 4
 
1.5%
75.0 4
 
1.5%
30.0 3
 
1.1%
90.0 3
 
1.1%
135.0 3
 
1.1%
Other values (183) 204
77.6%
ValueCountFrequency (%)
14.0 3
 
1.1%
16.0 14
5.3%
20.0 11
4.2%
25.0 2
 
0.8%
28.0 1
 
0.4%
30.0 3
 
1.1%
32.0 2
 
0.8%
35.0 6
2.3%
36.0 1
 
0.4%
38.0 2
 
0.8%
ValueCountFrequency (%)
67370.0 1
0.4%
23037.0 1
0.4%
21905.0 1
0.4%
15393.0 1
0.4%
14633.0 1
0.4%
11560.0 1
0.4%
9792.0 1
0.4%
9601.0 1
0.4%
8745.0 1
0.4%
7393.0 1
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13
263 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-13
2nd row2023-12-13
3rd row2023-12-13
4th row2023-12-13
5th row2023-12-13

Common Values

ValueCountFrequency (%)
2023-12-13 263
100.0%

Length

2023-12-16T16:01:55.413110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:01:55.929718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-13 263
100.0%

Interactions

2023-12-16T16:01:41.338766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:39.066345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:40.372965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:41.712096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:39.575513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:40.681337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:42.239408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:40.014985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:01:41.015930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T16:01:56.216383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분설비용량(kw)사용처면적(제곱미터)
순번1.0000.9460.0650.4200.000
구분0.9461.0000.6750.7550.601
설비용량(kw)0.0650.6751.0000.5900.885
사용처0.4200.7550.5901.0000.475
면적(제곱미터)0.0000.6010.8850.4751.000
2023-12-16T16:01:56.530256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사용처
구분1.0000.545
사용처0.5451.000
2023-12-16T16:01:56.863727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(kw)면적(제곱미터)구분사용처
순번1.0000.0870.3080.7380.275
설비용량(kw)0.0871.0000.8580.3700.479
면적(제곱미터)0.3080.8581.0000.3400.407
구분0.7380.3700.3401.0000.545
사용처0.2750.4790.4070.5451.000

Missing values

2023-12-16T16:01:42.929518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T16:01:43.581497image/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

순번구분관리기관(부서)명소재지도로명주소(건물명)에너지원설비용량(kw)사용처면적(제곱미터)데이터기준일자
01본청회계과광주광역시 서구 내방로 111(본청사)태양광(kw)248.0자가소비1332.02023-12-13
12본청서부농수산물도매시장관리사무소광주광역시 서구 매월2로 16태양광(kw)100.0자가소비652.02023-12-13
23본청김치타운관리사무소광주광역시 남구 김치로 60태양광(kw)144.4자가소비963.02023-12-13
34본청상수도사업본부광주광역시 광산구 우산로 81(광산사업소)태양광(kw)20.0자가소비125.02023-12-13
45본청상수도사업본부광주광역시 동구 선교로 84-10(용연정수장)태양광(kw)995.0발전사업(부지임대)9792.02023-12-13
56본청상수도사업본부광주광역시 동구 선교로 84-10(용연정수장 내 고도정수처리시설 옥상)태양광(kw)696.0발전사업(부지임대)3303.02023-12-13
67본청상수도사업본부광주광역시 남구 덕남동 산 20-1 외 2필지(덕남정수장)태양광(kw)2585.0발전사업(부지임대)23037.02023-12-13
78본청상수도사업본부광주광역시 남구 송하동 산 132-1 외 1필지(송하배수지)태양광(kw)360.0발전사업(부지임대)3543.02023-12-13
89본청상수도사업본부광주광역시 남구 행암동 산 160(덕남정수장)태양광(kw)50.0자가소비434.02023-12-13
910본청상수도사업본부광주광역시 광산구 소촌동 산80-8(소촌배수지)태양광(kw)300.0발전사업(부지임대)3414.02023-12-13
순번구분관리기관(부서)명소재지도로명주소(건물명)에너지원설비용량(kw)사용처면적(제곱미터)데이터기준일자
253254광주광역시 교육청광주학생독립기념회관광주광역시 서구 화정동 512태양광(kw)55.25자가소비4142.02023-12-13
254255광주광역시 교육청광주광역시학생교육원(청풍수련장)광주광역시 북구 청풍동 498태양광(kw)80.64자가소비2990.02023-12-13
255256광주광역시 교육청광주광역시서부교육지원청광주광역시 서구 상무번영로 98태양광(kw)20.0자가소비163.52023-12-13
256257광주광역시 교육청월곡초등학교광주광역시 광산구 월곡산정로 107태양광(kw)35.2자가소비1045.52023-12-13
257258광주광역시 교육청광주계림초등학교광주광역시 동구 중앙로 320태양광(kw)58.0자가소비3930.02023-12-13
258259광주광역시 교육청화정남초등학교광주광역시 서구 염화로 37태양광(kw)37.12자가소비1072.02023-12-13
259260광주광역시 교육청광주선명학교광주광역시 남구 서문대로 749번마길 2태양광(kw)46.08자가소비569.02023-12-13
260261광주광역시 교육청대촌중앙초등학교광주광역시 남구 고싸움로 152번길 1 (병설유)태양광(kw)40.74자가소비428.542023-12-13
261262광주광역시 교육청경양초등학교광주광역시 북구 서강로 133태양광(kw)194.0자가소비3002.02023-12-13
262263광주광역시 교육청효동유치원광주광역시 북구 서양로93번길 26태양광(kw)51.72자가소비1219.02023-12-13