Overview

Dataset statistics

Number of variables10
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory87.3 B

Variable types

Numeric2
Categorical5
Text2
DateTime1

Dataset

Description경기도 시흥시 빗물이용시설현황은 시설명, 위치, 설치완료일, 여과등처리시설여부, 저류조용량, 이용용도, 비고로 작성되었습니다.
URLhttps://www.data.go.kr/data/15114315/fileData.do

Alerts

시도 has constant value ""Constant
구군 has constant value ""Constant
이용용도 has constant value ""Constant
비고 has constant value ""Constant
순번 has unique valuesUnique
시설명 has unique valuesUnique
위치(주소) has unique valuesUnique
저류조용량(세제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:33:26.275801
Analysis finished2023-12-12 03:33:27.254327
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:33:27.312823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T12:33:27.490645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
경기도
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 25
100.0%

Length

2023-12-12T12:33:27.629541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:33:27.715778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 25
100.0%

구군
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
시흥시
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시흥시 25
100.0%

Length

2023-12-12T12:33:27.802494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:33:27.888734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시흥시 25
100.0%

시설명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:33:28.072078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.36
Min length4

Characters and Unicode

Total characters259
Distinct characters106
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row시흥에코센터
2nd row롯데마트 시흥배곧점
3rd row시흥 프리미엄 아울렛
4th row배곧한라비발디캠퍼스
5th row시흥배곧2차이지더원에듀그린
ValueCountFrequency (%)
호반써밋플레이스 3
 
7.3%
시흥 2
 
4.9%
배곧 2
 
4.9%
시흥에코센터 1
 
2.4%
목감어울림센터 1
 
2.4%
국민체육센터 1
 
2.4%
서울대학교 1
 
2.4%
시흥캠퍼스 1
 
2.4%
교육협력센터 1
 
2.4%
대야역 1
 
2.4%
Other values (27) 27
65.9%
2023-12-12T12:33:28.422145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
6.2%
센 10
 
3.9%
배 10
 
3.9%
곧 10
 
3.9%
시 9
 
3.5%
터 9
 
3.5%
흥 9
 
3.5%
울 8
 
3.1%
스 7
 
2.7%
림 6
 
2.3%
Other values (96) 165
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
90.0%
Space Separator 16
 
6.2%
Decimal Number 7
 
2.7%
Uppercase Letter 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 10
 
4.3%
배 10
 
4.3%
곧 10
 
4.3%
시 9
 
3.9%
터 9
 
3.9%
흥 9
 
3.9%
울 8
 
3.4%
스 7
 
3.0%
림 6
 
2.6%
어 6
 
2.6%
Other values (90) 149
63.9%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 3
42.9%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
90.0%
Common 24
 
9.3%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 10
 
4.3%
배 10
 
4.3%
곧 10
 
4.3%
시 9
 
3.9%
터 9
 
3.9%
흥 9
 
3.9%
울 8
 
3.4%
스 7
 
3.0%
림 6
 
2.6%
어 6
 
2.6%
Other values (90) 149
63.9%
Common
ValueCountFrequency (%)
16
66.7%
1 3
 
12.5%
2 3
 
12.5%
- 1
 
4.2%
3 1
 
4.2%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
90.0%
ASCII 26
 
10.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
61.5%
1 3
 
11.5%
2 3
 
11.5%
C 2
 
7.7%
- 1
 
3.8%
3 1
 
3.8%
Hangul
ValueCountFrequency (%)
센 10
 
4.3%
배 10
 
4.3%
곧 10
 
4.3%
시 9
 
3.9%
터 9
 
3.9%
흥 9
 
3.9%
울 8
 
3.4%
스 7
 
3.0%
림 6
 
2.6%
어 6
 
2.6%
Other values (90) 149
63.9%

위치(주소)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:33:28.715816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length31.24
Min length21

Characters and Unicode

Total characters781
Distinct characters118
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

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 경기과기대로 284 (정왕동)
2nd row경기도 시흥시 서울대학로278번길 67 (정왕동)
3rd row경기도 시흥시 서해안로 699 (정왕동)
4th row경기도 시흥시 배곧1로 27-15 (정왕동 한라비발디캠퍼스)
5th row경기도 시흥시 서울대학로 100 (정왕동 시흥배곧신도시 이지더원2차 에듀그린)
ValueCountFrequency (%)
경기도 25
 
16.8%
시흥시 25
 
16.8%
정왕동 18
 
12.1%
서해안로 3
 
2.0%
배곧4로 3
 
2.0%
서울대학로 3
 
2.0%
12 2
 
1.3%
은행동 2
 
1.3%
서울대학로278번길 2
 
1.3%
배곧1로 2
 
1.3%
Other values (64) 64
43.0%
2023-12-12T12:33:29.171565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
18.1%
시 55
 
7.0%
흥 29
 
3.7%
기 28
 
3.6%
경 27
 
3.5%
도 27
 
3.5%
) 25
 
3.2%
로 25
 
3.2%
동 25
 
3.2%
( 25
 
3.2%
Other values (108) 374
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
62.2%
Space Separator 141
 
18.1%
Decimal Number 97
 
12.4%
Close Punctuation 25
 
3.2%
Open Punctuation 25
 
3.2%
Dash Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 55
 
11.3%
흥 29
 
6.0%
기 28
 
5.8%
경 27
 
5.6%
도 27
 
5.6%
로 25
 
5.1%
동 25
 
5.1%
정 19
 
3.9%
왕 19
 
3.9%
울 11
 
2.3%
Other values (94) 221
45.5%
Decimal Number
ValueCountFrequency (%)
2 19
19.6%
1 18
18.6%
4 11
11.3%
7 11
11.3%
3 10
10.3%
0 8
8.2%
6 7
 
7.2%
5 6
 
6.2%
9 4
 
4.1%
8 3
 
3.1%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
62.2%
Common 295
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 55
 
11.3%
흥 29
 
6.0%
기 28
 
5.8%
경 27
 
5.6%
도 27
 
5.6%
로 25
 
5.1%
동 25
 
5.1%
정 19
 
3.9%
왕 19
 
3.9%
울 11
 
2.3%
Other values (94) 221
45.5%
Common
ValueCountFrequency (%)
141
47.8%
) 25
 
8.5%
( 25
 
8.5%
2 19
 
6.4%
1 18
 
6.1%
4 11
 
3.7%
7 11
 
3.7%
3 10
 
3.4%
0 8
 
2.7%
6 7
 
2.4%
Other values (4) 20
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
62.2%
ASCII 295
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
47.8%
) 25
 
8.5%
( 25
 
8.5%
2 19
 
6.4%
1 18
 
6.1%
4 11
 
3.7%
7 11
 
3.7%
3 10
 
3.4%
0 8
 
2.7%
6 7
 
2.4%
Other values (4) 20
 
6.8%
Hangul
ValueCountFrequency (%)
시 55
 
11.3%
흥 29
 
6.0%
기 28
 
5.8%
경 27
 
5.6%
도 27
 
5.6%
로 25
 
5.1%
동 25
 
5.1%
정 19
 
3.9%
왕 19
 
3.9%
울 11
 
2.3%
Other values (94) 221
45.5%

설치완료일
Date

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2015-12-16 00:00:00
Maximum2023-02-27 00:00:00
2023-12-12T12:33:29.325899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:33:29.430299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

여과등처리시설여부
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
초기우수스크린, 여과처리
16 
초기우수스크린, 여과처리, 살균처리
5 
초기우수스크린, AOP처리방법(마이크로버블산화수처리장치)
2 
초기우수스크린, 여과처리, 재염처리
 
1
초기우수스크린,여과처리, AOP처리방법(마이크로버블산화수처리장치)
 
1

Length

Max length37
Median length13
Mean length16.84
Min length13

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st row초기우수스크린, 여과처리
2nd row초기우수스크린, 여과처리
3rd row초기우수스크린, 여과처리
4th row초기우수스크린, 여과처리
5th row초기우수스크린, 여과처리

Common Values

ValueCountFrequency (%)
초기우수스크린, 여과처리 16
64.0%
초기우수스크린, 여과처리, 살균처리 5
 
20.0%
초기우수스크린, AOP처리방법(마이크로버블산화수처리장치) 2
 
8.0%
초기우수스크린, 여과처리, 재염처리 1
 
4.0%
초기우수스크린,여과처리, AOP처리방법(마이크로버블산화수처리장치) 1
 
4.0%

Length

2023-12-12T12:33:29.534034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:33:29.624201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초기우수스크린 24
42.9%
여과처리 22
39.3%
살균처리 5
 
8.9%
aop처리방법(마이크로버블산화수처리장치 3
 
5.4%
재염처리 1
 
1.8%
초기우수스크린,여과처리 1
 
1.8%

저류조용량(세제곱미터)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.3372
Minimum78
Maximum1858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:33:29.727387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile84.8
Q1122
median423.13
Q3523
95-th percentile694.16
Maximum1858
Range1780
Interquartile range (IQR)401

Descriptive statistics

Standard deviation370.2107
Coefficient of variation (CV)0.91334006
Kurtosis9.5345448
Mean405.3372
Median Absolute Deviation (MAD)203.13
Skewness2.577013
Sum10133.43
Variance137055.96
MonotonicityNot monotonic
2023-12-12T12:33:29.873411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
308.92 1
 
4.0%
450.0 1
 
4.0%
700.4 1
 
4.0%
136.29 1
 
4.0%
624.0 1
 
4.0%
88.0 1
 
4.0%
84.0 1
 
4.0%
160.0 1
 
4.0%
118.0 1
 
4.0%
122.0 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
78.0 1
4.0%
84.0 1
4.0%
88.0 1
4.0%
90.0 1
4.0%
107.25 1
4.0%
118.0 1
4.0%
122.0 1
4.0%
136.29 1
4.0%
160.0 1
4.0%
220.0 1
4.0%
ValueCountFrequency (%)
1858.0 1
4.0%
700.4 1
4.0%
669.2 1
4.0%
624.0 1
4.0%
609.24 1
4.0%
562.0 1
4.0%
523.0 1
4.0%
522.0 1
4.0%
500.0 1
4.0%
470.0 1
4.0%

이용용도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
조경용수
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조경용수 25
100.0%

Length

2023-12-12T12:33:30.022464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:33:30.147226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조경용수 25
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
의무대상
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의무대상 25
100.0%

Length

2023-12-12T12:33:30.297423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:33:30.436811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의무대상 25
100.0%

Interactions

2023-12-12T12:33:26.814452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:33:26.621752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:33:26.920839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:33:26.711803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:33:30.517602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설명위치(주소)설치완료일여과등처리시설여부저류조용량(세제곱미터)
순번1.0001.0001.0000.9140.5140.665
시설명1.0001.0001.0001.0001.0001.000
위치(주소)1.0001.0001.0001.0001.0001.000
설치완료일0.9141.0001.0001.0001.0000.793
여과등처리시설여부0.5141.0001.0001.0001.0000.000
저류조용량(세제곱미터)0.6651.0001.0000.7930.0001.000
2023-12-12T12:33:30.622905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번저류조용량(세제곱미터)여과등처리시설여부
순번1.000-0.2410.025
저류조용량(세제곱미터)-0.2411.0000.000
여과등처리시설여부0.0250.0001.000

Missing values

2023-12-12T12:33:27.044187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:33:27.188641image/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

순번시도구군시설명위치(주소)설치완료일여과등처리시설여부저류조용량(세제곱미터)이용용도비고
01경기도시흥시시흥에코센터경기도 시흥시 경기과기대로 284 (정왕동)2015-12-16초기우수스크린, 여과처리308.92조경용수의무대상
12경기도시흥시롯데마트 시흥배곧점경기도 시흥시 서울대학로278번길 67 (정왕동)2016-12-01초기우수스크린, 여과처리450.0조경용수의무대상
23경기도시흥시시흥 프리미엄 아울렛경기도 시흥시 서해안로 699 (정왕동)2017-02-28초기우수스크린, 여과처리1858.0조경용수의무대상
34경기도시흥시배곧한라비발디캠퍼스경기도 시흥시 배곧1로 27-15 (정왕동 한라비발디캠퍼스)2017-06-01초기우수스크린, 여과처리470.0조경용수의무대상
45경기도시흥시시흥배곧2차이지더원에듀그린경기도 시흥시 서울대학로 100 (정왕동 시흥배곧신도시 이지더원2차 에듀그린)2017-08-07초기우수스크린, 여과처리522.0조경용수의무대상
56경기도시흥시배곧 호반베르디움 센트로하임경기도 시흥시 배곧4로 106-25 (정왕동)2017-09-30초기우수스크린, 여과처리, 살균처리562.0조경용수의무대상
67경기도시흥시경기서부융복합지원센터경기도 시흥시 마유로 376 (정왕동)2017-10-20초기우수스크린, AOP처리방법(마이크로버블산화수처리장치)90.0조경용수의무대상
78경기도시흥시배곧한라비발디캠퍼스2차경기도 시흥시 배곧1로 27-16 (정왕동 한라비발디캠퍼스2차)2017-11-14초기우수스크린, 여과처리460.0조경용수의무대상
89경기도시흥시배곧한라비발디캠퍼스3차경기도 시흥시 서울대학로 172-20 (정왕동 한라비발디캠퍼스3차)2018-04-30초기우수스크린, 여과처리250.0조경용수의무대상
910경기도시흥시시흥은계 호반써밋플레이스경기도 시흥시 은계남로 12 (은행동 시흥은계호반써밋플레이스)2019-04-26초기우수스크린, 여과처리, 살균처리423.13조경용수의무대상
순번시도구군시설명위치(주소)설치완료일여과등처리시설여부저류조용량(세제곱미터)이용용도비고
1516경기도시흥시대야역 두산위브더파크경기도 시흥시 서해안로 1645 (대야동 두산위브 더파크)2020-05-22초기우수스크린, 여과처리523.0조경용수의무대상
1617경기도시흥시목감어울림센터경기도 시흥시 목감우회로 23 목감어울림센터 (조남동)2020-11-14초기우수스크린, 여과처리78.0조경용수의무대상
1718경기도시흥시론볼경기장경기도 시흥시 서해안로 277 론볼 경기장 운영센터 (정왕동)2020-12-09초기우수스크린, 여과처리122.0조경용수의무대상
1819경기도시흥시능곡어울림센터경기도 시흥시 능곡로 140 능곡복합커뮤니티센터 (능곡동)2021-01-02초기우수스크린, 여과처리118.0조경용수의무대상
1920경기도시흥시배곧도서관경기도 시흥시 배곧4로 102 배곧도서관 (정왕동)2021-01-06초기우수스크린,여과처리, AOP처리방법(마이크로버블산화수처리장치)160.0조경용수의무대상
2021경기도시흥시배곧어울림센터-1경기도 시흥시 배곧4로 94-41 배곧어울림센터 (정왕동)2021-03-31초기우수스크린, 여과처리84.0조경용수의무대상
2122경기도시흥시월곶어울림센터경기도 시흥시 월곶중앙로30번안길 7 월곶어울림센터 (월곶동)2021-03-25초기우수스크린, 여과처리88.0조경용수의무대상
2223경기도시흥시아쿠아펫랜드경기도 시흥시 거북섬북로 54 아쿠아펫랜드 (정왕동)2022-07-22초기우수스크린, 여과처리624.0조경용수의무대상
2324경기도시흥시은계1어울림센터경기도 시흥시 은계로 240 은계어울림센터-1 (은행동)2022-09-23초기우수스크린, 여과처리136.29조경용수의무대상
2425경기도시흥시보니타가경기도 시흥시 거북섬중앙로 1 보니타가 (정왕동)2023-02-27초기우수스크린, 여과처리700.4조경용수의무대상