Overview

Dataset statistics

Number of variables7
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory60.5 B

Variable types

Text4
Numeric2
DateTime1

Dataset

Description경기도 시흥시 공공청사 자가용 태양광발전소 설치현황 입니다.( 시흥시 공공청사 자가용 태양광발전소 설치현황에는 발전소명, 소새지주소, 경도, 위도등이 있습니다.)
Author경기도 시흥시
URLhttps://www.data.go.kr/data/15048666/fileData.do

Alerts

데이터기준일 has constant value ""Constant
경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도High correlation

Reproduction

Analysis started2023-12-12 04:34:21.305794
Analysis finished2023-12-12 04:34:22.495543
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Text

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:34:22.725384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.9807692
Min length3

Characters and Unicode

Total characters363
Distinct characters108
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)84.6%

Sample

1st row능곡수질복원센터
2nd row은행동주민센터
3rd row신천동주민센터
4th row노인종합복지관
5th row군자근린공원
ValueCountFrequency (%)
월곶에코피아 2
 
3.7%
맑은물관리센터 2
 
3.7%
시흥시청 2
 
3.7%
시흥에코센터 2
 
3.7%
목감도서관 1
 
1.9%
맑은물상상누리 1
 
1.9%
창의센터 1
 
1.9%
배곧수변공원 1
 
1.9%
가족지원센터 1
 
1.9%
융복합지원센터 1
 
1.9%
Other values (40) 40
74.1%
2023-12-12T13:34:23.274780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 28
 
7.7%
터 28
 
7.7%
관 13
 
3.6%
시 10
 
2.8%
어 10
 
2.8%
도 9
 
2.5%
이 9
 
2.5%
동 8
 
2.2%
복 7
 
1.9%
민 7
 
1.9%
Other values (98) 234
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
98.9%
Space Separator 2
 
0.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 28
 
7.8%
터 28
 
7.8%
관 13
 
3.6%
시 10
 
2.8%
어 10
 
2.8%
도 9
 
2.5%
이 9
 
2.5%
동 8
 
2.2%
복 7
 
1.9%
민 7
 
1.9%
Other values (95) 230
64.1%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
98.9%
Common 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 28
 
7.8%
터 28
 
7.8%
관 13
 
3.6%
시 10
 
2.8%
어 10
 
2.8%
도 9
 
2.5%
이 9
 
2.5%
동 8
 
2.2%
복 7
 
1.9%
민 7
 
1.9%
Other values (95) 230
64.1%
Common
ValueCountFrequency (%)
2
50.0%
4 1
25.0%
3 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
98.9%
ASCII 4
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 28
 
7.8%
터 28
 
7.8%
관 13
 
3.6%
시 10
 
2.8%
어 10
 
2.8%
도 9
 
2.5%
이 9
 
2.5%
동 8
 
2.2%
복 7
 
1.9%
민 7
 
1.9%
Other values (95) 230
64.1%
ASCII
ValueCountFrequency (%)
2
50.0%
4 1
25.0%
3 1
25.0%

소재지지번주소
Text

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:34:23.975972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.519231
Min length13

Characters and Unicode

Total characters859
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)78.8%

Sample

1st row경기도 시흥시 능곡동 809
2nd row경기도 시흥시 은행동 113-9
3rd row경기도 시흥시 신천동 265-2
4th row경기도 시흥시 능곡동 765
5th row경기도 시흥시 거모동 1352
ValueCountFrequency (%)
경기도 52
25.0%
시흥시 52
25.0%
정왕동 21
 
10.1%
월곶동 4
 
1.9%
대야동 4
 
1.9%
장곡동 3
 
1.4%
능곡동 3
 
1.4%
매화동 3
 
1.4%
2163 3
 
1.4%
장현동 3
 
1.4%
Other values (53) 60
28.8%
2023-12-12T13:34:24.540213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
18.2%
시 104
12.1%
경 52
 
6.1%
도 52
 
6.1%
흥 52
 
6.1%
동 52
 
6.1%
기 52
 
6.1%
1 41
 
4.8%
2 33
 
3.8%
3 30
 
3.5%
Other values (34) 235
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
54.4%
Decimal Number 207
24.1%
Space Separator 156
 
18.2%
Dash Punctuation 29
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 104
22.3%
경 52
11.1%
도 52
11.1%
흥 52
11.1%
동 52
11.1%
기 52
11.1%
정 21
 
4.5%
왕 21
 
4.5%
장 6
 
1.3%
곡 6
 
1.3%
Other values (22) 49
10.5%
Decimal Number
ValueCountFrequency (%)
1 41
19.8%
2 33
15.9%
3 30
14.5%
9 19
9.2%
0 18
8.7%
7 17
8.2%
8 16
 
7.7%
5 12
 
5.8%
6 12
 
5.8%
4 9
 
4.3%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
54.4%
Common 392
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 104
22.3%
경 52
11.1%
도 52
11.1%
흥 52
11.1%
동 52
11.1%
기 52
11.1%
정 21
 
4.5%
왕 21
 
4.5%
장 6
 
1.3%
곡 6
 
1.3%
Other values (22) 49
10.5%
Common
ValueCountFrequency (%)
156
39.8%
1 41
 
10.5%
2 33
 
8.4%
3 30
 
7.7%
- 29
 
7.4%
9 19
 
4.8%
0 18
 
4.6%
7 17
 
4.3%
8 16
 
4.1%
5 12
 
3.1%
Other values (2) 21
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
54.4%
ASCII 392
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
39.8%
1 41
 
10.5%
2 33
 
8.4%
3 30
 
7.7%
- 29
 
7.4%
9 19
 
4.8%
0 18
 
4.6%
7 17
 
4.3%
8 16
 
4.1%
5 12
 
3.1%
Other values (2) 21
 
5.4%
Hangul
ValueCountFrequency (%)
시 104
22.3%
경 52
11.1%
도 52
11.1%
흥 52
11.1%
동 52
11.1%
기 52
11.1%
정 21
 
4.5%
왕 21
 
4.5%
장 6
 
1.3%
곡 6
 
1.3%
Other values (22) 49
10.5%

소재지도로명주소
Text

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:34:24.907321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length16.788462
Min length14

Characters and Unicode

Total characters873
Distinct characters84
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)80.8%

Sample

1st row경기도 시흥시 시흥대로 248-11
2nd row경기도 시흥시 수인로 3247번길 25
3rd row경기도 시흥시 포도원로 72
4th row경기도 시흥시 장현능곡로 214
5th row경기도 시흥시 군자로 466번길
ValueCountFrequency (%)
경기도 52
24.1%
시흥시 52
24.1%
14 4
 
1.9%
7 4
 
1.9%
경기과기대로 3
 
1.4%
매화로 3
 
1.4%
20 3
 
1.4%
배곧4로 3
 
1.4%
공단2대로 3
 
1.4%
161번길 3
 
1.4%
Other values (75) 86
39.8%
2023-12-12T13:34:25.314360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
18.8%
시 108
12.4%
기 59
 
6.8%
경 55
 
6.3%
도 54
 
6.2%
흥 53
 
6.1%
로 46
 
5.3%
2 31
 
3.6%
1 28
 
3.2%
4 24
 
2.7%
Other values (74) 251
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542
62.1%
Space Separator 164
 
18.8%
Decimal Number 162
 
18.6%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 108
19.9%
기 59
10.9%
경 55
10.1%
도 54
10.0%
흥 53
9.8%
로 46
 
8.5%
길 20
 
3.7%
번 14
 
2.6%
대 10
 
1.8%
정 5
 
0.9%
Other values (62) 118
21.8%
Decimal Number
ValueCountFrequency (%)
2 31
19.1%
1 28
17.3%
4 24
14.8%
3 19
11.7%
7 14
8.6%
5 12
 
7.4%
0 10
 
6.2%
8 9
 
5.6%
6 8
 
4.9%
9 7
 
4.3%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
62.1%
Common 331
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 108
19.9%
기 59
10.9%
경 55
10.1%
도 54
10.0%
흥 53
9.8%
로 46
 
8.5%
길 20
 
3.7%
번 14
 
2.6%
대 10
 
1.8%
정 5
 
0.9%
Other values (62) 118
21.8%
Common
ValueCountFrequency (%)
164
49.5%
2 31
 
9.4%
1 28
 
8.5%
4 24
 
7.3%
3 19
 
5.7%
7 14
 
4.2%
5 12
 
3.6%
0 10
 
3.0%
8 9
 
2.7%
6 8
 
2.4%
Other values (2) 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
62.1%
ASCII 331
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
49.5%
2 31
 
9.4%
1 28
 
8.5%
4 24
 
7.3%
3 19
 
5.7%
7 14
 
4.2%
5 12
 
3.6%
0 10
 
3.0%
8 9
 
2.7%
6 8
 
2.4%
Other values (2) 12
 
3.6%
Hangul
ValueCountFrequency (%)
시 108
19.9%
기 59
10.9%
경 55
10.1%
도 54
10.0%
흥 53
9.8%
로 46
 
8.5%
길 20
 
3.7%
번 14
 
2.6%
대 10
 
1.8%
정 5
 
0.9%
Other values (62) 118
21.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.76558
Minimum126.69151
Maximum126.86127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T13:34:25.498947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69151
5-th percentile126.69703
Q1126.73546
median126.75415
Q3126.79935
95-th percentile126.84631
Maximum126.86127
Range0.1697692
Interquartile range (IQR)0.0638891

Descriptive statistics

Standard deviation0.04523185
Coefficient of variation (CV)0.00035681492
Kurtosis-0.68903755
Mean126.76558
Median Absolute Deviation (MAD)0.03243895
Skewness0.23701422
Sum6591.8102
Variance0.0020459203
MonotonicityNot monotonic
2023-12-12T13:34:25.641644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
126.7509769 2
 
3.8%
126.739233 2
 
3.8%
126.8040627 2
 
3.8%
126.6972798 2
 
3.8%
126.7479977 1
 
1.9%
126.7020377 1
 
1.9%
126.7494864 1
 
1.9%
126.7386419 1
 
1.9%
126.757314 1
 
1.9%
126.7846101 1
 
1.9%
Other values (38) 38
73.1%
ValueCountFrequency (%)
126.6915056 1
1.9%
126.691592 1
1.9%
126.6967282 1
1.9%
126.6972798 2
3.8%
126.7020377 1
1.9%
126.7093887 1
1.9%
126.7144693 1
1.9%
126.7264475 1
1.9%
126.7286534 1
1.9%
126.7322517 1
1.9%
ValueCountFrequency (%)
126.8612748 1
1.9%
126.8586904 1
1.9%
126.8584316 1
1.9%
126.8363953 1
1.9%
126.8159875 1
1.9%
126.8155365 1
1.9%
126.8153391 1
1.9%
126.8146958 1
1.9%
126.8133036 1
1.9%
126.8077338 1
1.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.376048
Minimum37.321806
Maximum37.445584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T13:34:25.788515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.321806
5-th percentile37.33554
Q137.347708
median37.371803
Q337.39087
95-th percentile37.443428
Maximum37.445584
Range0.12377739
Interquartile range (IQR)0.04316187

Descriptive statistics

Standard deviation0.0334661
Coefficient of variation (CV)0.00089538895
Kurtosis-0.41319088
Mean37.376048
Median Absolute Deviation (MAD)0.02420593
Skewness0.63446799
Sum1943.5545
Variance0.0011199799
MonotonicityNot monotonic
2023-12-12T13:34:25.967783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
37.39640774 2
 
3.8%
37.3375617 2
 
3.8%
37.38042164 2
 
3.8%
37.3349007 2
 
3.8%
37.3452203 1
 
1.9%
37.35464928 1
 
1.9%
37.34737478 1
 
1.9%
37.34862036 1
 
1.9%
37.3715958 1
 
1.9%
37.40618284 1
 
1.9%
Other values (38) 38
73.1%
ValueCountFrequency (%)
37.32180627 1
1.9%
37.3349007 2
3.8%
37.336063 1
1.9%
37.33725475 1
1.9%
37.3375617 2
3.8%
37.33863685 1
1.9%
37.34011393 1
1.9%
37.34363967 1
1.9%
37.3452203 1
1.9%
37.34708835 1
1.9%
ValueCountFrequency (%)
37.44558366 1
1.9%
37.44556618 1
1.9%
37.44388176 1
1.9%
37.4430567 1
1.9%
37.43645051 1
1.9%
37.4354739 1
1.9%
37.41800983 1
1.9%
37.41766941 1
1.9%
37.41653468 1
1.9%
37.40618284 1
1.9%

설비용량
Text

Distinct37
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T13:34:26.192023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.0961538
Min length3

Characters and Unicode

Total characters213
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)51.9%

Sample

1st row6kW
2nd row30kW
3rd row30kW
4th row25kW
5th row12kW
ValueCountFrequency (%)
30kw 8
 
15.4%
20kw 5
 
9.6%
25kw 3
 
5.8%
5kw 2
 
3.8%
60kw 2
 
3.8%
33kw 2
 
3.8%
55kw 2
 
3.8%
18kw 2
 
3.8%
40kw 2
 
3.8%
65kw 1
 
1.9%
Other values (23) 23
44.2%
2023-12-12T13:34:26.712785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 47
22.1%
W 46
21.6%
0 27
12.7%
1 15
 
7.0%
3 14
 
6.6%
2 14
 
6.6%
5 13
 
6.1%
6 7
 
3.3%
4 7
 
3.3%
w 6
 
2.8%
Other values (5) 17
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
50.7%
Lowercase Letter 53
24.9%
Uppercase Letter 51
23.9%
Other Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
25.0%
1 15
13.9%
3 14
13.0%
2 14
13.0%
5 13
12.0%
6 7
 
6.5%
4 7
 
6.5%
8 6
 
5.6%
7 4
 
3.7%
9 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
k 47
88.7%
w 6
 
11.3%
Uppercase Letter
ValueCountFrequency (%)
W 46
90.2%
K 5
 
9.8%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109
51.2%
Latin 104
48.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
24.8%
1 15
13.8%
3 14
12.8%
2 14
12.8%
5 13
11.9%
6 7
 
6.4%
4 7
 
6.4%
8 6
 
5.5%
7 4
 
3.7%
9 1
 
0.9%
Latin
ValueCountFrequency (%)
k 47
45.2%
W 46
44.2%
w 6
 
5.8%
K 5
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 47
22.1%
W 46
21.6%
0 27
12.7%
1 15
 
7.0%
3 14
 
6.6%
2 14
 
6.6%
5 13
 
6.1%
6 7
 
3.3%
4 7
 
3.3%
w 6
 
2.8%
Other values (5) 17
 
8.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2022-09-01 00:00:00
Maximum2022-09-01 00:00:00
2023-12-12T13:34:26.838385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:26.943763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:34:21.966319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:21.735100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:22.095580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:21.833292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:34:27.037413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명소재지지번주소소재지도로명주소경도위도설비용량
발전소명1.0001.0001.0001.0001.0000.000
소재지지번주소1.0001.0001.0001.0001.0000.000
소재지도로명주소1.0001.0001.0000.9920.9750.584
경도1.0001.0000.9921.0000.8110.000
위도1.0001.0000.9750.8111.0000.000
설비용량0.0000.0000.5840.0000.0001.000
2023-12-12T13:34:27.208291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0000.663
위도0.6631.000

Missing values

2023-12-12T13:34:22.247539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:34:22.435317image/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

발전소명소재지지번주소소재지도로명주소경도위도설비용량데이터기준일
0능곡수질복원센터경기도 시흥시 능곡동 809경기도 시흥시 시흥대로 248-11126.80773437.3631946kW2022-09-01
1은행동주민센터경기도 시흥시 은행동 113-9경기도 시흥시 수인로 3247번길 25126.79798637.43645130kW2022-09-01
2신천동주민센터경기도 시흥시 신천동 265-2경기도 시흥시 포도원로 72126.78178737.43547430kW2022-09-01
3노인종합복지관경기도 시흥시 능곡동 765경기도 시흥시 장현능곡로 214126.81330437.36865725kW2022-09-01
4군자근린공원경기도 시흥시 거모동 1352경기도 시흥시 군자로 466번길126.78077737.34708812kW2022-09-01
5매화동주민센터경기도 시흥시 매화동 77-8경기도 시흥시 매화로 22126.81533937.4180134kW2022-09-01
6오이도문화복지센터경기도 시흥시 정왕동 2019-2경기도 시흥시 옥터로 47126.69150637.3436420kW2022-09-01
7보건소경기도 시흥시 대야동 484-5경기도 시흥시 호현로 55126.78529637.44558460kW2022-09-01
8맑은물관리센터경기도 시흥시 정왕동 2163경기도 시흥시 공단2대로 14126.69672837.33725570kW2022-09-01
9장애인보호작업장경기도 시흥시 정왕동 1381-9경기도 시흥시 마유로 85번길 117126.72865337.32180630kW2022-09-01
발전소명소재지지번주소소재지도로명주소경도위도설비용량데이터기준일
42시립장곡어린이집경기도 시흥시 장곡동 798-1경기도 시흥시 장곡로70번길 11-8126.78027437.38085118kW2022-09-01
43시립신현어린이집경기도 시흥시 포동 20-33경기도 시흥시 신현로 52126.78452237.40585710kW2022-09-01
44옥구공원 론볼경기장경기도 시흥시 정왕동 2138경기도 시흥시 서해안로 277126.71446937.35635162kW2022-09-01
45다다커뮤니티센터경기도 시흥시 대야동 491-3경기도 시흥시 복지로 37126.78840237.44305720kW2022-09-01
46배곧도서관경기도 시흥시 배곧동 162경기도 시흥시 배곧4로 102126.73383537.37339765kW2022-09-01
47맑은물관리센터경기도 시흥시 정왕동 2163경기도 시흥시 공단2대로 14126.6972837.3349011,000kW2022-09-01
48목감어울림센터경기도 시흥시 조남동 697경기도 시흥시 목감우회로 23126.8586937.38171132kW2022-09-01
49월곶어울림센터경기도 시흥시 월곶동 995-2경기도 시흥시 월곶중앙로30번안길 7126.74247637.38902471kW2022-09-01
50배곧어울림센터경기도 시흥시 배곧동 169경기도 시흥시 배곧4로 94-41126.7360337.37201119kW2022-09-01
51오이도박물관경기도 시흥시 정왕동 2202-6경기도 시흥시 오이도로 332126.69159237.336063120kW2022-09-01