Overview

Dataset statistics

Number of variables9
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory76.1 B

Variable types

Numeric2
Categorical4
Text3

Dataset

Description인천광역시 서구 생활용수 비상급수시설 현황 (시설종류, 용도, 시설명칭, 소재지(도로명), 소재지(지번), 급수능력(일일생산능력(톤) 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089433/fileData.do

Alerts

시설종류 has constant value ""Constant
용도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:17:58.996771
Analysis finished2024-03-14 19:18:01.363577
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-15T04:18:01.493696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2024-03-15T04:18:01.855700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

시설종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
공공용
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공용 60
100.0%

Length

2024-03-15T04:18:02.091125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:18:02.256598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 60
100.0%

용도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
생활용수
60 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활용수 60
100.0%

Length

2024-03-15T04:18:02.497592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:18:02.798568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 60
100.0%

시설명칭
Text

Distinct53
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-03-15T04:18:03.419185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length5.7833333
Min length3

Characters and Unicode

Total characters347
Distinct characters147
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

Unique50 ?
Unique (%)83.3%

Sample

1st row㈜ 신태진
2nd row㈜ 신태진
3rd row녹지관리사업소
4th row녹지관리사업소(w-1)
5th row이**
ValueCountFrequency (%)
이 6
 
9.5%
㈜ 2
 
3.2%
신태진 2
 
3.2%
김 2
 
3.2%
인천광역시유아교육진흥원 1
 
1.6%
정글마트 1
 
1.6%
문 1
 
1.6%
마전주유소 1
 
1.6%
검단농협주유소 1
 
1.6%
내리기도원 1
 
1.6%
Other values (45) 45
71.4%
2024-03-15T04:18:04.499775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 30
 
8.6%
신 9
 
2.6%
사 9
 
2.6%
가 8
 
2.3%
마 8
 
2.3%
이 7
 
2.0%
원 6
 
1.7%
우 6
 
1.7%
소 6
 
1.7%
정 6
 
1.7%
Other values (137) 252
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
81.0%
Other Punctuation 30
 
8.6%
Decimal Number 14
 
4.0%
Open Punctuation 5
 
1.4%
Close Punctuation 5
 
1.4%
Dash Punctuation 4
 
1.2%
Space Separator 4
 
1.2%
Other Symbol 2
 
0.6%
Lowercase Letter 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 9
 
3.2%
사 9
 
3.2%
가 8
 
2.8%
마 8
 
2.8%
이 7
 
2.5%
원 6
 
2.1%
우 6
 
2.1%
소 6
 
2.1%
정 6
 
2.1%
동 6
 
2.1%
Other values (122) 210
74.7%
Decimal Number
ValueCountFrequency (%)
9 3
21.4%
3 3
21.4%
5 2
14.3%
2 2
14.3%
1 2
14.3%
8 1
 
7.1%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
81.6%
Common 62
 
17.9%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 9
 
3.2%
사 9
 
3.2%
가 8
 
2.8%
마 8
 
2.8%
이 7
 
2.5%
원 6
 
2.1%
우 6
 
2.1%
소 6
 
2.1%
정 6
 
2.1%
동 6
 
2.1%
Other values (123) 212
74.9%
Common
ValueCountFrequency (%)
* 30
48.4%
( 5
 
8.1%
) 5
 
8.1%
- 4
 
6.5%
4
 
6.5%
9 3
 
4.8%
3 3
 
4.8%
5 2
 
3.2%
2 2
 
3.2%
1 2
 
3.2%
Other values (2) 2
 
3.2%
Latin
ValueCountFrequency (%)
w 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
81.0%
ASCII 64
 
18.4%
None 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 30
46.9%
( 5
 
7.8%
) 5
 
7.8%
- 4
 
6.2%
4
 
6.2%
9 3
 
4.7%
3 3
 
4.7%
5 2
 
3.1%
2 2
 
3.1%
1 2
 
3.1%
Other values (4) 4
 
6.2%
Hangul
ValueCountFrequency (%)
신 9
 
3.2%
사 9
 
3.2%
가 8
 
2.8%
마 8
 
2.8%
이 7
 
2.5%
원 6
 
2.1%
우 6
 
2.1%
소 6
 
2.1%
정 6
 
2.1%
동 6
 
2.1%
Other values (122) 210
74.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

시설유형
Categorical

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
상업시설
20 
기타
17 
목욕시설
10 
종교시설
7 
공공기관
3 
Other values (3)
3 

Length

Max length4
Median length4
Mean length3.4166667
Min length2

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st row상업시설
2nd row상업시설
3rd row공공기관
4th row공공기관
5th row기타

Common Values

ValueCountFrequency (%)
상업시설 20
33.3%
기타 17
28.3%
목욕시설 10
16.7%
종교시설 7
 
11.7%
공공기관 3
 
5.0%
숙박시설 1
 
1.7%
공장시설 1
 
1.7%
농업용 1
 
1.7%

Length

2024-03-15T04:18:04.772187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:18:05.155514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업시설 20
33.3%
기타 17
28.3%
목욕시설 10
16.7%
종교시설 7
 
11.7%
공공기관 3
 
5.0%
숙박시설 1
 
1.7%
공장시설 1
 
1.7%
농업용 1
 
1.7%

소재지(도로명)
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-03-15T04:18:06.889517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length21.8
Min length13

Characters and Unicode

Total characters1308
Distinct characters83
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

Unique56 ?
Unique (%)93.3%

Sample

1st row인천광역시 서구 도요지로 37 (경서동)
2nd row인천광역시 서구 도요지로 37 (경서동)
3rd row인천광역시 서구 봉수대로 755 (연희동)
4th row인천광역시 서구 봉수대로 755 (연희동)
5th row인천광역시 서구 경명대로 725-23 (공촌동)
ValueCountFrequency (%)
서구 60
21.1%
인천광역시 57
20.1%
가좌동 7
 
2.5%
석남동 7
 
2.5%
봉수대로 6
 
2.1%
신현동 6
 
2.1%
서곶로 5
 
1.8%
원적로 3
 
1.1%
서달로20번길 3
 
1.1%
호 3
 
1.1%
Other values (106) 127
44.7%
2024-03-15T04:18:09.375734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
18.1%
서 72
 
5.5%
천 61
 
4.7%
인 60
 
4.6%
구 60
 
4.6%
시 58
 
4.4%
광 57
 
4.4%
역 57
 
4.4%
로 54
 
4.1%
동 42
 
3.2%
Other values (73) 550
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
59.2%
Space Separator 237
 
18.1%
Decimal Number 212
 
16.2%
Open Punctuation 36
 
2.8%
Close Punctuation 36
 
2.8%
Dash Punctuation 13
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 72
 
9.3%
천 61
 
7.9%
인 60
 
7.8%
구 60
 
7.8%
시 58
 
7.5%
광 57
 
7.4%
역 57
 
7.4%
로 54
 
7.0%
동 42
 
5.4%
번 24
 
3.1%
Other values (59) 229
29.6%
Decimal Number
ValueCountFrequency (%)
1 39
18.4%
3 31
14.6%
2 28
13.2%
5 25
11.8%
6 22
10.4%
7 20
9.4%
9 15
 
7.1%
4 12
 
5.7%
0 12
 
5.7%
8 8
 
3.8%
Space Separator
ValueCountFrequency (%)
237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
59.2%
Common 534
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 72
 
9.3%
천 61
 
7.9%
인 60
 
7.8%
구 60
 
7.8%
시 58
 
7.5%
광 57
 
7.4%
역 57
 
7.4%
로 54
 
7.0%
동 42
 
5.4%
번 24
 
3.1%
Other values (59) 229
29.6%
Common
ValueCountFrequency (%)
237
44.4%
1 39
 
7.3%
( 36
 
6.7%
) 36
 
6.7%
3 31
 
5.8%
2 28
 
5.2%
5 25
 
4.7%
6 22
 
4.1%
7 20
 
3.7%
9 15
 
2.8%
Other values (4) 45
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
59.2%
ASCII 534
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
44.4%
1 39
 
7.3%
( 36
 
6.7%
) 36
 
6.7%
3 31
 
5.8%
2 28
 
5.2%
5 25
 
4.7%
6 22
 
4.1%
7 20
 
3.7%
9 15
 
2.8%
Other values (4) 45
 
8.4%
Hangul
ValueCountFrequency (%)
서 72
 
9.3%
천 61
 
7.9%
인 60
 
7.8%
구 60
 
7.8%
시 58
 
7.5%
광 57
 
7.4%
역 57
 
7.4%
로 54
 
7.0%
동 42
 
5.4%
번 24
 
3.1%
Other values (59) 229
29.6%

소재지(지번)
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-03-15T04:18:10.453341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.1
Min length6

Characters and Unicode

Total characters546
Distinct characters53
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

Unique60 ?
Unique (%)100.0%

Sample

1st row경서동 438-22
2nd row경서동 438-21
3rd row연희동 산129
4th row연희동 산143-1
5th row공촌동 112
ValueCountFrequency (%)
석남동 8
 
6.6%
가좌동 7
 
5.7%
신현동 6
 
4.9%
공촌동 5
 
4.1%
가정동 4
 
3.3%
석남1동 3
 
2.5%
대곡동 3
 
2.5%
당하동 3
 
2.5%
가좌3동 3
 
2.5%
경서동 2
 
1.6%
Other values (74) 78
63.9%
2024-03-15T04:18:12.070519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
11.4%
동 61
 
11.2%
- 48
 
8.8%
1 46
 
8.4%
2 38
 
7.0%
3 30
 
5.5%
5 29
 
5.3%
6 18
 
3.3%
4 17
 
3.1%
9 16
 
2.9%
Other values (43) 181
33.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 237
43.4%
Other Letter 197
36.1%
Space Separator 62
 
11.4%
Dash Punctuation 48
 
8.8%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
31.0%
가 15
 
7.6%
석 12
 
6.1%
좌 11
 
5.6%
남 11
 
5.6%
산 7
 
3.6%
곡 7
 
3.6%
현 6
 
3.0%
신 6
 
3.0%
공 5
 
2.5%
Other values (29) 56
28.4%
Decimal Number
ValueCountFrequency (%)
1 46
19.4%
2 38
16.0%
3 30
12.7%
5 29
12.2%
6 18
 
7.6%
4 17
 
7.2%
9 16
 
6.8%
7 16
 
6.8%
0 14
 
5.9%
8 13
 
5.5%
Space Separator
ValueCountFrequency (%)
62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
63.9%
Hangul 197
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
31.0%
가 15
 
7.6%
석 12
 
6.1%
좌 11
 
5.6%
남 11
 
5.6%
산 7
 
3.6%
곡 7
 
3.6%
현 6
 
3.0%
신 6
 
3.0%
공 5
 
2.5%
Other values (29) 56
28.4%
Common
ValueCountFrequency (%)
62
17.8%
- 48
13.8%
1 46
13.2%
2 38
10.9%
3 30
8.6%
5 29
8.3%
6 18
 
5.2%
4 17
 
4.9%
9 16
 
4.6%
7 16
 
4.6%
Other values (4) 29
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
63.9%
Hangul 197
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
17.8%
- 48
13.8%
1 46
13.2%
2 38
10.9%
3 30
8.6%
5 29
8.3%
6 18
 
5.2%
4 17
 
4.9%
9 16
 
4.6%
7 16
 
4.6%
Other values (4) 29
8.3%
Hangul
ValueCountFrequency (%)
동 61
31.0%
가 15
 
7.6%
석 12
 
6.1%
좌 11
 
5.6%
남 11
 
5.6%
산 7
 
3.6%
곡 7
 
3.6%
현 6
 
3.0%
신 6
 
3.0%
공 5
 
2.5%
Other values (29) 56
28.4%

급수용량(일일공급능력(톤))
Real number (ℝ)

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.616667
Minimum20
Maximum630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-15T04:18:12.450321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24.75
Q150
median71
Q386
95-th percentile203.55
Maximum630
Range610
Interquartile range (IQR)36

Descriptive statistics

Standard deviation89.160889
Coefficient of variation (CV)1.0293734
Kurtosis24.593349
Mean86.616667
Median Absolute Deviation (MAD)16
Skewness4.5563591
Sum5197
Variance7949.6641
MonotonicityNot monotonic
2024-03-15T04:18:12.858602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
80 9
15.0%
60 7
 
11.7%
50 6
 
10.0%
100 4
 
6.7%
86 3
 
5.0%
30 3
 
5.0%
72 3
 
5.0%
20 3
 
5.0%
70 2
 
3.3%
65 2
 
3.3%
Other values (18) 18
30.0%
ValueCountFrequency (%)
20 3
5.0%
25 1
 
1.7%
30 3
5.0%
35 1
 
1.7%
40 1
 
1.7%
45 1
 
1.7%
50 6
10.0%
52 1
 
1.7%
57 1
 
1.7%
58 1
 
1.7%
ValueCountFrequency (%)
630 1
 
1.7%
350 1
 
1.7%
271 1
 
1.7%
200 1
 
1.7%
150 1
 
1.7%
115 1
 
1.7%
100 4
6.7%
98 1
 
1.7%
90 1
 
1.7%
88 1
 
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
2023-12-26
60 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-26
2nd row2023-12-26
3rd row2023-12-26
4th row2023-12-26
5th row2023-12-26

Common Values

ValueCountFrequency (%)
2023-12-26 60
100.0%

Length

2024-03-15T04:18:13.280246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:18:13.591056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-26 60
100.0%

Interactions

2024-03-15T04:18:00.171938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:17:59.604300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:18:00.476181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:17:59.873114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:18:13.781375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명칭시설유형소재지(도로명)소재지(지번)급수용량(일일공급능력(톤))
연번1.0000.8620.3801.0001.0000.284
시설명칭0.8621.0001.0000.9961.0000.000
시설유형0.3801.0001.0001.0001.0000.000
소재지(도로명)1.0000.9961.0001.0001.0000.000
소재지(지번)1.0001.0001.0001.0001.0001.000
급수용량(일일공급능력(톤))0.2840.0000.0000.0001.0001.000
2024-03-15T04:18:13.967682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급수용량(일일공급능력(톤))시설유형
연번1.000-0.2670.181
급수용량(일일공급능력(톤))-0.2671.0000.000
시설유형0.1810.0001.000

Missing values

2024-03-15T04:18:00.695108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:18:01.146542image/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

연번시설종류용도시설명칭시설유형소재지(도로명)소재지(지번)급수용량(일일공급능력(톤))데이터기준일자
01공공용생활용수㈜ 신태진상업시설인천광역시 서구 도요지로 37 (경서동)경서동 438-226302023-12-26
12공공용생활용수㈜ 신태진상업시설인천광역시 서구 도요지로 37 (경서동)경서동 438-212712023-12-26
23공공용생활용수녹지관리사업소공공기관인천광역시 서구 봉수대로 755 (연희동)연희동 산1291002023-12-26
34공공용생활용수녹지관리사업소(w-1)공공기관인천광역시 서구 봉수대로 755 (연희동)연희동 산143-11002023-12-26
45공공용생활용수이**기타인천광역시 서구 경명대로 725-23 (공촌동)공촌동 1121002023-12-26
56공공용생활용수김**기타인천광역시 서구 연희동 16번지 1 호공촌동 16-1802023-12-26
67공공용생활용수동호목욕탕목욕시설인천광역시 서구 경명대로 664 (공촌동)공촌동 309862023-12-26
78공공용생활용수대양개발상업시설인천광역시 서구 공촌동 산163번지 2 호공촌동 산163-2862023-12-26
89공공용생활용수김**기타인천광역시 서구 심곡로124번길 14 (심곡동)심곡동 13-2802023-12-26
910공공용생활용수녹주불가마사우나목욕시설인천광역시 서구 심곡로 49번길 지하 7(심곡동)심곡동 252-6602023-12-26
연번시설종류용도시설명칭시설유형소재지(도로명)소재지(지번)급수용량(일일공급능력(톤))데이터기준일자
5051공공용생활용수두밀촌낚시터상업시설인천광역시 서구 두밀로 91대곡동 260-1572023-12-26
5152공공용생활용수배**기타인천광역시 서구 도곡로 298대곡동 26652023-12-26
5253공공용생활용수용오자동차공업사상업시설인천광역시 서구 길주로 87석남동 511-3602023-12-26
5354공공용생활용수신우테크상업시설인천 서구 길주로136번길 31석남동 555-35502023-12-26
5455공공용생활용수경제정책과(공촌동89-2)기타인천광역시 서구 경명대로 725-77(공촌동)공촌동 89-2802023-12-26
5556공공용생활용수청라스파렉스목욕시설인천광역시 서구 청라커낼로260번길 15청라동 158-23502023-12-26
5657공공용생활용수경제정책과(검암동9-1)기타인천광역시 서구 검암동 9-1검암동 9-1802023-12-26
5758공공용생활용수선인장이야기상업시설인천 서구 서곶로 156가정동 5-5502023-12-26
5859공공용생활용수신도조경상업시설인천 서구 서곶로 150가정동 5-148602023-12-26
5960공공용생활용수경제정책과(오류동 395-35)기타인천광역시 서구 원당대로117번길 70-9오류동 395-35802023-12-26