Overview

Dataset statistics

Number of variables9
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory78.6 B

Variable types

Categorical2
Text2
Numeric4
DateTime1

Dataset

Description공공시설의 신재생에너지 구축사업의한 관내 태양광발전설치 현황에 관한 데이터로 설치장소명, 소재지도로명주소, 설치연도, 발전유형, 설비용량, 위도, 경도, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15043298/fileData.do

Alerts

기관명 has constant value ""Constant
발전유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-14 13:37:48.654155
Analysis finished2024-03-14 13:37:53.993362
Duration5.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
인천광역시 남동구
50 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 남동구
2nd row인천광역시 남동구
3rd row인천광역시 남동구
4th row인천광역시 남동구
5th row인천광역시 남동구

Common Values

ValueCountFrequency (%)
인천광역시 남동구 50
100.0%

Length

2024-03-14T22:37:54.190676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:37:54.478292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 50
50.0%
남동구 50
50.0%

설치장소명
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T22:37:55.253662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.38
Min length5

Characters and Unicode

Total characters419
Distinct characters107
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row남동장애인복지관
2nd row수현경로당
3rd row고잔경로당
4th row도림경로당
5th row도림이경로당
ValueCountFrequency (%)
공중화장실 3
 
5.0%
의회 2
 
3.3%
남동구 2
 
3.3%
서창도서관 2
 
3.3%
아시아드선수촌근린공원공중화장실 1
 
1.7%
구월근린공원공중화장실 1
 
1.7%
석천경로당 1
 
1.7%
남촌도림동주민센터 1
 
1.7%
모래네시장 1
 
1.7%
배송센터 1
 
1.7%
Other values (45) 45
75.0%
2024-03-14T22:37:56.414944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 28
 
6.7%
경 17
 
4.1%
당 17
 
4.1%
로 17
 
4.1%
민 13
 
3.1%
장 12
 
2.9%
터 12
 
2.9%
수 12
 
2.9%
센 12
 
2.9%
공 11
 
2.6%
Other values (97) 268
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
92.1%
Decimal Number 15
 
3.6%
Space Separator 10
 
2.4%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
7.3%
경 17
 
4.4%
당 17
 
4.4%
로 17
 
4.4%
민 13
 
3.4%
장 12
 
3.1%
터 12
 
3.1%
수 12
 
3.1%
센 12
 
3.1%
공 11
 
2.8%
Other values (87) 235
60.9%
Decimal Number
ValueCountFrequency (%)
2 5
33.3%
1 4
26.7%
4 2
 
13.3%
3 2
 
13.3%
6 1
 
6.7%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
92.1%
Common 33
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
7.3%
경 17
 
4.4%
당 17
 
4.4%
로 17
 
4.4%
민 13
 
3.4%
장 12
 
3.1%
터 12
 
3.1%
수 12
 
3.1%
센 12
 
3.1%
공 11
 
2.8%
Other values (87) 235
60.9%
Common
ValueCountFrequency (%)
10
30.3%
2 5
15.2%
1 4
 
12.1%
( 3
 
9.1%
) 3
 
9.1%
4 2
 
6.1%
, 2
 
6.1%
3 2
 
6.1%
6 1
 
3.0%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
92.1%
ASCII 33
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 28
 
7.3%
경 17
 
4.4%
당 17
 
4.4%
로 17
 
4.4%
민 13
 
3.4%
장 12
 
3.1%
터 12
 
3.1%
수 12
 
3.1%
센 12
 
3.1%
공 11
 
2.8%
Other values (87) 235
60.9%
ASCII
ValueCountFrequency (%)
10
30.3%
2 5
15.2%
1 4
 
12.1%
( 3
 
9.1%
) 3
 
9.1%
4 2
 
6.1%
, 2
 
6.1%
3 2
 
6.1%
6 1
 
3.0%
5 1
 
3.0%

소재지도로명주소
Text

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-14T22:37:57.481462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length25.94
Min length22

Characters and Unicode

Total characters1297
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)86.0%

Sample

1st row인천광역시 남동구 인주대로 898, (만수동)
2nd row인천광역시 남동구 수현로14번길 13-20, (장수동)
3rd row인천광역시 남동구 앵고개로697번길 59, (고잔동)
4th row인천광역시 남동구 도림로 24, (도림동)
5th row인천광역시 남동구 도림북로 49, (도림동)
ValueCountFrequency (%)
남동구 51
20.6%
인천광역시 50
20.2%
만수동 14
 
5.7%
간석동 8
 
3.2%
논현동 6
 
2.4%
구월동 5
 
2.0%
앵고개로 4
 
1.6%
633 4
 
1.6%
소래로 4
 
1.6%
771(논현동 3
 
1.2%
Other values (85) 98
39.7%
2024-03-14T22:37:58.968590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
15.2%
동 104
 
8.0%
구 65
 
5.0%
인 56
 
4.3%
남 55
 
4.2%
역 52
 
4.0%
광 51
 
3.9%
시 51
 
3.9%
천 51
 
3.9%
로 51
 
3.9%
Other values (64) 564
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
60.5%
Space Separator 197
 
15.2%
Decimal Number 168
 
13.0%
Close Punctuation 50
 
3.9%
Open Punctuation 50
 
3.9%
Other Punctuation 42
 
3.2%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 104
13.2%
구 65
 
8.3%
인 56
 
7.1%
남 55
 
7.0%
역 52
 
6.6%
광 51
 
6.5%
시 51
 
6.5%
천 51
 
6.5%
로 51
 
6.5%
수 23
 
2.9%
Other values (49) 226
28.8%
Decimal Number
ValueCountFrequency (%)
1 27
16.1%
3 22
13.1%
6 19
11.3%
4 19
11.3%
2 18
10.7%
7 16
9.5%
8 14
8.3%
9 13
7.7%
5 12
7.1%
0 8
 
4.8%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
60.5%
Common 512
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 104
13.2%
구 65
 
8.3%
인 56
 
7.1%
남 55
 
7.0%
역 52
 
6.6%
광 51
 
6.5%
시 51
 
6.5%
천 51
 
6.5%
로 51
 
6.5%
수 23
 
2.9%
Other values (49) 226
28.8%
Common
ValueCountFrequency (%)
197
38.5%
) 50
 
9.8%
( 50
 
9.8%
, 42
 
8.2%
1 27
 
5.3%
3 22
 
4.3%
6 19
 
3.7%
4 19
 
3.7%
2 18
 
3.5%
7 16
 
3.1%
Other values (5) 52
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
60.5%
ASCII 512
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
38.5%
) 50
 
9.8%
( 50
 
9.8%
, 42
 
8.2%
1 27
 
5.3%
3 22
 
4.3%
6 19
 
3.7%
4 19
 
3.7%
2 18
 
3.5%
7 16
 
3.1%
Other values (5) 52
 
10.2%
Hangul
ValueCountFrequency (%)
동 104
13.2%
구 65
 
8.3%
인 56
 
7.1%
남 55
 
7.0%
역 52
 
6.6%
광 51
 
6.5%
시 51
 
6.5%
천 51
 
6.5%
로 51
 
6.5%
수 23
 
2.9%
Other values (49) 226
28.8%

설치연도
Real number (ℝ)

Distinct12
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.56
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-14T22:37:59.342908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12012
median2017
Q32020
95-th percentile2022
Maximum2022
Range11
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.2530181
Coefficient of variation (CV)0.0021090462
Kurtosis-1.6210361
Mean2016.56
Median Absolute Deviation (MAD)4
Skewness-0.152483
Sum100828
Variance18.088163
MonotonicityNot monotonic
2024-03-14T22:37:59.712345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2011 12
24.0%
2020 10
20.0%
2022 8
16.0%
2013 4
 
8.0%
2017 4
 
8.0%
2021 2
 
4.0%
2012 2
 
4.0%
2015 2
 
4.0%
2018 2
 
4.0%
2019 2
 
4.0%
Other values (2) 2
 
4.0%
ValueCountFrequency (%)
2011 12
24.0%
2012 2
 
4.0%
2013 4
 
8.0%
2014 1
 
2.0%
2015 2
 
4.0%
2016 1
 
2.0%
2017 4
 
8.0%
2018 2
 
4.0%
2019 2
 
4.0%
2020 10
20.0%
ValueCountFrequency (%)
2022 8
16.0%
2021 2
 
4.0%
2020 10
20.0%
2019 2
 
4.0%
2018 2
 
4.0%
2017 4
 
8.0%
2016 1
 
2.0%
2015 2
 
4.0%
2014 1
 
2.0%
2013 4
 
8.0%

발전유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
자가소비
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가소비 50
100.0%

Length

2024-03-14T22:38:00.092272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:38:00.382164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가소비 50
100.0%

설비용량(킬로와트시)
Real number (ℝ)

Distinct14
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-14T22:38:00.672028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median10
Q320
95-th percentile75.6
Maximum100
Range97
Interquartile range (IQR)17

Descriptive statistics

Standard deviation22.878561
Coefficient of variation (CV)1.3457977
Kurtosis5.9991492
Mean17
Median Absolute Deviation (MAD)7
Skewness2.4869871
Sum850
Variance523.42857
MonotonicityNot monotonic
2024-03-14T22:38:01.036697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 18
36.0%
20 7
 
14.0%
10 7
 
14.0%
5 5
 
10.0%
30 3
 
6.0%
90 2
 
4.0%
25 1
 
2.0%
50 1
 
2.0%
58 1
 
2.0%
100 1
 
2.0%
Other values (4) 4
 
8.0%
ValueCountFrequency (%)
3 18
36.0%
5 5
 
10.0%
9 1
 
2.0%
10 7
 
14.0%
12 1
 
2.0%
16 1
 
2.0%
20 7
 
14.0%
21 1
 
2.0%
25 1
 
2.0%
30 3
 
6.0%
ValueCountFrequency (%)
100 1
 
2.0%
90 2
 
4.0%
58 1
 
2.0%
50 1
 
2.0%
30 3
6.0%
25 1
 
2.0%
21 1
 
2.0%
20 7
14.0%
16 1
 
2.0%
12 1
 
2.0%

위도
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.437519
Minimum37.385476
Maximum37.477539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-14T22:38:01.422386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.385476
5-th percentile37.391762
Q137.410947
median37.447389
Q337.459081
95-th percentile37.466859
Maximum37.477539
Range0.09206309
Interquartile range (IQR)0.048134305

Descriptive statistics

Standard deviation0.027211251
Coefficient of variation (CV)0.00072684438
Kurtosis-0.99847721
Mean37.437519
Median Absolute Deviation (MAD)0.01462973
Skewness-0.64586839
Sum1871.876
Variance0.00074045217
MonotonicityNot monotonic
2024-03-14T22:38:01.863744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
37.44738908 4
 
8.0%
37.39176155 3
 
6.0%
37.45737178 2
 
4.0%
37.44789883 1
 
2.0%
37.47753914 1
 
2.0%
37.43226493 1
 
2.0%
37.45420107 1
 
2.0%
37.47513053 1
 
2.0%
37.38547605 1
 
2.0%
37.43269076 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
37.38547605 1
 
2.0%
37.39150961 1
 
2.0%
37.39176155 3
6.0%
37.39318288 1
 
2.0%
37.39743384 1
 
2.0%
37.39776762 1
 
2.0%
37.39792392 1
 
2.0%
37.39808581 1
 
2.0%
37.40422829 1
 
2.0%
37.40569223 1
 
2.0%
ValueCountFrequency (%)
37.47753914 1
2.0%
37.47513053 1
2.0%
37.46753574 1
2.0%
37.46603094 1
2.0%
37.46444558 1
2.0%
37.46291495 1
2.0%
37.46245569 1
2.0%
37.46207124 1
2.0%
37.46196638 1
2.0%
37.46156398 1
2.0%

경도
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.72448
Minimum126.69725
Maximum126.75038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-14T22:38:02.278585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69725
5-th percentile126.70186
Q1126.71371
median126.72608
Q3126.73377
95-th percentile126.74685
Maximum126.75038
Range0.0531363
Interquartile range (IQR)0.0200671

Descriptive statistics

Standard deviation0.013866327
Coefficient of variation (CV)0.00010942106
Kurtosis-0.71233172
Mean126.72448
Median Absolute Deviation (MAD)0.01030865
Skewness-0.10286656
Sum6336.2239
Variance0.00019227503
MonotonicityNot monotonic
2024-03-14T22:38:02.713725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
126.7306811 4
 
8.0%
126.7217373 3
 
6.0%
126.7189045 2
 
4.0%
126.7370578 1
 
2.0%
126.7116415 1
 
2.0%
126.7152192 1
 
2.0%
126.7214903 1
 
2.0%
126.7097269 1
 
2.0%
126.7112859 1
 
2.0%
126.7313019 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
126.6972455 1
2.0%
126.6997715 1
2.0%
126.7007573 1
2.0%
126.7032137 1
2.0%
126.7033579 1
2.0%
126.7039701 1
2.0%
126.7058793 1
2.0%
126.7097269 1
2.0%
126.710392 1
2.0%
126.7112859 1
2.0%
ValueCountFrequency (%)
126.7503818 1
2.0%
126.7501297 1
2.0%
126.7473614 1
2.0%
126.7462236 1
2.0%
126.7462235 1
2.0%
126.7393077 1
2.0%
126.7389771 1
2.0%
126.7375884 1
2.0%
126.7370578 1
2.0%
126.7363923 1
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Minimum2024-01-02 00:00:00
Maximum2024-01-02 00:00:00
2024-03-14T22:38:02.920138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:38:03.218445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T22:37:52.296374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:49.184827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:50.363936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:51.322821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:52.540195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:49.427392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:50.604119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:51.579306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:52.790241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:49.876683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:50.841157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:51.824012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:53.027688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:50.112815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:51.074905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:52.053334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:38:03.427994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명소재지도로명주소설치연도설비용량(킬로와트시)위도경도
설치장소명1.0000.9861.0000.9841.0001.000
소재지도로명주소0.9861.0000.9700.0001.0001.000
설치연도1.0000.9701.0000.7960.4540.353
설비용량(킬로와트시)0.9840.0000.7961.0000.0000.320
위도1.0001.0000.4540.0001.0000.680
경도1.0001.0000.3530.3200.6801.000
2024-03-14T22:38:03.702964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도설비용량(킬로와트시)위도경도
설치연도1.000-0.3520.054-0.246
설비용량(킬로와트시)-0.3521.000-0.1500.262
위도0.054-0.1501.000-0.208
경도-0.2460.262-0.2081.000

Missing values

2024-03-14T22:37:53.369695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:37:53.817688image/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

기관명설치장소명소재지도로명주소설치연도발전유형설비용량(킬로와트시)위도경도데이터기준일자
0인천광역시 남동구남동장애인복지관인천광역시 남동구 인주대로 898, (만수동)2011자가소비2037.447899126.7370582024-01-02
1인천광역시 남동구수현경로당인천광역시 남동구 수현로14번길 13-20, (장수동)2011자가소비537.464446126.750132024-01-02
2인천광역시 남동구고잔경로당인천광역시 남동구 앵고개로697번길 59, (고잔동)2011자가소비537.39151126.7151132024-01-02
3인천광역시 남동구도림경로당인천광역시 남동구 도림로 24, (도림동)2011자가소비537.419473126.7282024-01-02
4인천광역시 남동구도림이경로당인천광역시 남동구 도림북로 49, (도림동)2011자가소비537.426189126.7333212024-01-02
5인천광역시 남동구논현고잔동주민센터인천광역시 남동구 앵고개로847번길 32, (논현동)2011자가소비1037.397768126.726392024-01-02
6인천광역시 남동구논현종합사회복지관인천광역시 남동구 호구포로 292, (논현동)2011자가소비2537.408104126.7132372024-01-02
7인천광역시 남동구소래도서관인천광역시 남동구 앵고개로 793, (논현동)2011자가소비1037.393183126.7231932024-01-02
8인천광역시 남동구서창도서관인천광역시 남동구 독곡로16번길 15, (서창동)2011자가소비1037.436355126.7462232024-01-02
9인천광역시 남동구소래역사관인천광역시 남동구 아암대인천광역시 남동구 아암대로 1605, (논현동)로 16052011자가소비1037.398086126.7375882024-01-02
기관명설치장소명소재지도로명주소설치연도발전유형설비용량(킬로와트시)위도경도데이터기준일자
40인천광역시 남동구동부경로당인천광역시 남동구 백범로214번길 49, (만수동)2020자가소비337.462456126.725772024-01-02
41인천광역시 남동구남동구청(본관, 의회, 민원동옥상)인천광역시 남동구 소래로 633, (만수동)2021자가소비9037.447389126.7306812024-01-02
42인천광역시 남동구소래포구전통어시장인천광역시 남동구 장도로 86-17(논현동)2022자가소비2037.397924126.7393082024-01-02
43인천광역시 남동구소래포구공중화장실인천광역시 남동구 포구로 2-45(논현동)2022자가소비337.397434126.7389772024-01-02
44인천광역시 남동구구월근린공원공중화장실인천광역시 남동구 구월로 251(구월동)2022자가소비337.457372126.7189042024-01-02
45인천광역시 남동구아시아드선수촌근린공원공중화장실인천광역시 남동구 선수촌공원로 8(구월동)2022자가소비937.439664126.7103922024-01-02
46인천광역시 남동구늘솔길근린공원1호 공중화장실인천광역시 남동구 앵고개로 771(논현동)2022자가소비337.391762126.7217372024-01-02
47인천광역시 남동구늘솔길근린공원2호 공중화장실인천광역시 남동구 앵고개로 771(논현동)2022자가소비337.391762126.7217372024-01-02
48인천광역시 남동구늘솔길근린공원3호 공중화장실인천광역시 남동구 앵고개로 771(논현동)2022자가소비337.391762126.7217372024-01-02
49인천광역시 남동구서창도서관인천광역시 남동구 독곡로 16번길 15(서창동)2022자가소비1637.436355126.7462242024-01-02