Overview

Dataset statistics

Number of variables11
Number of observations105
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory93.3 B

Variable types

Categorical7
Numeric3
Text1

Dataset

Description경기도 의왕시 제설함 배치 현황입니다. 관리번호, 설치장소, 도로명주소, 위도, 경도, 제설함 수에 대한 정보를 제공하고 있습니다.
Author경기도 의왕시
URLhttps://www.data.go.kr/data/15042933/fileData.do

Alerts

시군명 has constant value ""Constant
제설함수 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
설치장소명 is highly overall correlated with 관리번호 and 4 other fieldsHigh correlation
소재지도로명주소 is highly overall correlated with 관리번호 and 4 other fieldsHigh correlation
관리번호 is highly overall correlated with 읍면동명 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
읍면동명 is highly overall correlated with 관리번호 and 4 other fieldsHigh correlation
위도 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:38:17.181097
Analysis finished2024-05-04 07:38:21.388440
Duration4.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
의왕시
105 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의왕시 105
100.0%

Length

2024-05-04T07:38:21.603527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:22.059888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의왕시 105
100.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
부곡동
30 
고천동
22 
오전동
21 
청계동
20 
내손동
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부곡동 30
28.6%
고천동 22
21.0%
오전동 21
20.0%
청계동 20
19.0%
내손동 12
 
11.4%

Length

2024-05-04T07:38:22.467853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:22.811195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부곡동 30
28.6%
고천동 22
21.0%
오전동 21
20.0%
청계동 20
19.0%
내손동 12
 
11.4%

관리번호
Real number (ℝ)

HIGH CORRELATION 

Distinct101
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.885714
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-04T07:38:23.316493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q126
median51
Q377
95-th percentile97.8
Maximum105
Range104
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.779095
Coefficient of variation (CV)0.5739363
Kurtosis-1.1844431
Mean51.885714
Median Absolute Deviation (MAD)25
Skewness0.014881603
Sum5448
Variance886.79451
MonotonicityNot monotonic
2024-05-04T07:38:24.184586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 2
 
1.9%
50 2
 
1.9%
62 2
 
1.9%
26 2
 
1.9%
85 1
 
1.0%
30 1
 
1.0%
29 1
 
1.0%
28 1
 
1.0%
27 1
 
1.0%
81 1
 
1.0%
Other values (91) 91
86.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
103 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

설치장소명
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
경수대로
8 
덕영대로
8 
오메기고개
7 
안양판교로
7 
모락로
 
6
Other values (41)
69 

Length

Max length13
Median length11
Mean length5.3047619
Min length3

Unique

Unique25 ?
Unique (%)23.8%

Sample

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

Common Values

ValueCountFrequency (%)
경수대로 8
 
7.6%
덕영대로 8
 
7.6%
오메기고개 7
 
6.7%
안양판교로 7
 
6.7%
모락로 6
 
5.7%
이동고개 6
 
5.7%
문화예술로 4
 
3.8%
초평교 4
 
3.8%
계원예대 오르막길 3
 
2.9%
시청로 3
 
2.9%
Other values (36) 49
46.7%

Length

2024-05-04T07:38:24.718429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경수대로 8
 
6.5%
덕영대로 8
 
6.5%
오메기고개 7
 
5.7%
안양판교로 7
 
5.7%
모락로 6
 
4.9%
이동고개 6
 
4.9%
근처 5
 
4.1%
문화예술로 4
 
3.3%
초평교 4
 
3.3%
학현터널길 3
 
2.4%
Other values (47) 65
52.8%

소재지도로명주소
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size972.0 B
경기도 의왕시 경수대로 75
8 
경기도 의왕시 부곡공원길 6
8 
경기도 의왕시 안양판교로 469
 
7
경기도 의왕시 문화공원로 33
 
6
경기도 의왕시 위인로 20
 
5
Other values (45)
71 

Length

Max length19
Median length18
Mean length15.485714
Min length13

Unique

Unique29 ?
Unique (%)27.6%

Sample

1st row경기도 의왕시 경수대로 75
2nd row경기도 의왕시 경수대로 75
3rd row경기도 의왕시 경수대로 75
4th row경기도 의왕시 경수대로 75
5th row경기도 의왕시 경수대로 75

Common Values

ValueCountFrequency (%)
경기도 의왕시 경수대로 75 8
 
7.6%
경기도 의왕시 부곡공원길 6 8
 
7.6%
경기도 의왕시 안양판교로 469 7
 
6.7%
경기도 의왕시 문화공원로 33 6
 
5.7%
경기도 의왕시 위인로 20 5
 
4.8%
경기도 의왕시 모락로 56 5
 
4.8%
경기도 의왕시 왕송못동로 11 4
 
3.8%
경기도 의왕시 오개로218번길 15 3
 
2.9%
경기도 의왕시 이당로 6 3
 
2.9%
경기도 의왕시 시청로 96 3
 
2.9%
Other values (40) 53
50.5%

Length

2024-05-04T07:38:25.163844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 105
25.0%
의왕시 105
25.0%
6 12
 
2.9%
부곡공원길 8
 
1.9%
20 8
 
1.9%
75 8
 
1.9%
경수대로 8
 
1.9%
모락로 7
 
1.7%
왕송못동로 7
 
1.7%
안양판교로 7
 
1.7%
Other values (70) 145
34.5%

소재지지번주소
Text

Distinct52
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-04T07:38:25.854570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length19.971429
Min length16

Characters and Unicode

Total characters2097
Distinct characters89
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

Unique32 ?
Unique (%)30.5%

Sample

1st row경기도 의왕시 왕곡동 531-6번지
2nd row경기도 의왕시 왕곡동 531-6번지
3rd row경기도 의왕시 왕곡동 531-6번지
4th row경기도 의왕시 왕곡동 531-6번지
5th row경기도 의왕시 왕곡동 531-6번지
ValueCountFrequency (%)
경기도 105
23.3%
의왕시 105
23.3%
왕곡동 18
 
4.0%
오전동 14
 
3.1%
내손동 13
 
2.9%
월암동 12
 
2.7%
청계동 11
 
2.4%
삼동 11
 
2.4%
고천동 10
 
2.2%
421번지 8
 
1.8%
Other values (72) 143
31.8%
2024-05-04T07:38:26.866247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
16.5%
왕 126
 
6.0%
의 116
 
5.5%
시 108
 
5.2%
경 107
 
5.1%
도 106
 
5.1%
동 105
 
5.0%
기 105
 
5.0%
지 99
 
4.7%
번 97
 
4.6%
Other values (79) 783
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1286
61.3%
Decimal Number 392
 
18.7%
Space Separator 345
 
16.5%
Dash Punctuation 74
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
왕 126
9.8%
의 116
 
9.0%
시 108
 
8.4%
경 107
 
8.3%
도 106
 
8.2%
동 105
 
8.2%
기 105
 
8.2%
지 99
 
7.7%
번 97
 
7.5%
곡 19
 
1.5%
Other values (67) 298
23.2%
Decimal Number
ValueCountFrequency (%)
1 81
20.7%
2 68
17.3%
4 39
9.9%
6 37
9.4%
0 37
9.4%
5 34
8.7%
8 31
 
7.9%
3 30
 
7.7%
7 21
 
5.4%
9 14
 
3.6%
Space Separator
ValueCountFrequency (%)
345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1286
61.3%
Common 811
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
왕 126
9.8%
의 116
 
9.0%
시 108
 
8.4%
경 107
 
8.3%
도 106
 
8.2%
동 105
 
8.2%
기 105
 
8.2%
지 99
 
7.7%
번 97
 
7.5%
곡 19
 
1.5%
Other values (67) 298
23.2%
Common
ValueCountFrequency (%)
345
42.5%
1 81
 
10.0%
- 74
 
9.1%
2 68
 
8.4%
4 39
 
4.8%
6 37
 
4.6%
0 37
 
4.6%
5 34
 
4.2%
8 31
 
3.8%
3 30
 
3.7%
Other values (2) 35
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1286
61.3%
ASCII 811
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
42.5%
1 81
 
10.0%
- 74
 
9.1%
2 68
 
8.4%
4 39
 
4.8%
6 37
 
4.6%
0 37
 
4.6%
5 34
 
4.2%
8 31
 
3.8%
3 30
 
3.7%
Other values (2) 35
 
4.3%
Hangul
ValueCountFrequency (%)
왕 126
9.8%
의 116
 
9.0%
시 108
 
8.4%
경 107
 
8.3%
도 106
 
8.2%
동 105
 
8.2%
기 105
 
8.2%
지 99
 
7.7%
번 97
 
7.5%
곡 19
 
1.5%
Other values (67) 298
23.2%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.353575
Minimum37.304961
Maximum37.408512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-04T07:38:27.493855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.304961
5-th percentile37.309999
Q137.332503
median37.352973
Q337.377861
95-th percentile37.394208
Maximum37.408512
Range0.103551
Interquartile range (IQR)0.0453581

Descriptive statistics

Standard deviation0.028214862
Coefficient of variation (CV)0.0007553457
Kurtosis-1.112103
Mean37.353575
Median Absolute Deviation (MAD)0.0244703
Skewness-0.032100033
Sum3922.1254
Variance0.00079607846
MonotonicityNot monotonic
2024-05-04T07:38:28.075793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3348991 1
 
1.0%
37.306358 1
 
1.0%
37.310096 1
 
1.0%
37.311371 1
 
1.0%
37.313853 1
 
1.0%
37.3796439 1
 
1.0%
37.3788596 1
 
1.0%
37.3785529 1
 
1.0%
37.3892215 1
 
1.0%
37.3774432 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
37.304961 1
1.0%
37.305004 1
1.0%
37.305689 1
1.0%
37.306358 1
1.0%
37.306514 1
1.0%
37.309975 1
1.0%
37.310096 1
1.0%
37.3103661 1
1.0%
37.311371 1
1.0%
37.311655 1
1.0%
ValueCountFrequency (%)
37.408512 1
1.0%
37.4018285 1
1.0%
37.3959711 1
1.0%
37.394813 1
1.0%
37.394751 1
1.0%
37.394211 1
1.0%
37.3941961 1
1.0%
37.393991 1
1.0%
37.393628 1
1.0%
37.3929425 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct103
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97925
Minimum126.93681
Maximum127.03698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-04T07:38:28.611697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93681
5-th percentile126.95186
Q1126.95923
median126.972
Q3126.99234
95-th percentile127.03254
Maximum127.03698
Range0.100171
Interquartile range (IQR)0.0331082

Descriptive statistics

Standard deviation0.023783625
Coefficient of variation (CV)0.00018730323
Kurtosis0.098782027
Mean126.97925
Median Absolute Deviation (MAD)0.0141718
Skewness0.88363218
Sum13332.822
Variance0.0005656608
MonotonicityNot monotonic
2024-05-04T07:38:29.140370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.033737 3
 
2.9%
126.9803365 1
 
1.0%
126.9921447 1
 
1.0%
126.958106 1
 
1.0%
126.957909 1
 
1.0%
126.957759 1
 
1.0%
126.957831 1
 
1.0%
126.9823103 1
 
1.0%
126.9798943 1
 
1.0%
126.9782573 1
 
1.0%
Other values (93) 93
88.6%
ValueCountFrequency (%)
126.936813 1
1.0%
126.946937 1
1.0%
126.947307 1
1.0%
126.948909 1
1.0%
126.949306 1
1.0%
126.951542 1
1.0%
126.953117 1
1.0%
126.953377 1
1.0%
126.953972 1
1.0%
126.954146 1
1.0%
ValueCountFrequency (%)
127.036984 1
 
1.0%
127.036652 1
 
1.0%
127.035963 1
 
1.0%
127.033737 3
2.9%
127.027764 1
 
1.0%
127.026632 1
 
1.0%
127.0253883 1
 
1.0%
127.021791 1
 
1.0%
127.0176068 1
 
1.0%
127.0163648 1
 
1.0%

제설함수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 105
100.0%

Length

2024-05-04T07:38:29.537631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:29.928638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 105
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
의왕시
105 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의왕시 105
100.0%

Length

2024-05-04T07:38:30.367228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:30.692912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의왕시 105
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
031-345-3373
105 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-345-3373
2nd row031-345-3373
3rd row031-345-3373
4th row031-345-3373
5th row031-345-3373

Common Values

ValueCountFrequency (%)
031-345-3373 105
100.0%

Length

2024-05-04T07:38:31.072639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:38:31.451025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-345-3373 105
100.0%

Interactions

2024-05-04T07:38:19.671473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:18.202479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:18.931832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:20.024554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:18.437294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:19.179288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:20.286685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:18.680035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:38:19.423093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T07:38:31.703696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도
읍면동명1.0000.9221.0001.0001.0000.9800.910
관리번호0.9221.0000.9670.9820.9740.8840.809
설치장소명1.0000.9671.0000.9990.9990.9780.967
소재지도로명주소1.0000.9820.9991.0001.0000.9910.977
소재지지번주소1.0000.9740.9991.0001.0000.9890.965
위도0.9800.8840.9780.9910.9891.0000.852
경도0.9100.8090.9670.9770.9650.8521.000
2024-05-04T07:38:32.038790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명설치장소명소재지도로명주소
읍면동명1.0000.7680.742
설치장소명0.7681.0000.925
소재지도로명주소0.7420.9251.000
2024-05-04T07:38:32.569541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호위도경도읍면동명설치장소명소재지도로명주소
관리번호1.0000.003-0.2540.6130.6190.610
위도0.0031.0000.7880.7770.6610.652
경도-0.2540.7881.0000.5900.6190.593
읍면동명0.6130.7770.5901.0000.7680.742
설치장소명0.6190.6610.6190.7681.0000.925
소재지도로명주소0.6100.6520.5930.7420.9251.000

Missing values

2024-05-04T07:38:20.645611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:38:21.180748image/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

시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도제설함수관리기관명관리기관전화번호
0의왕시고천동10경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.334899126.9803371의왕시031-345-3373
1의왕시고천동11경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.332503126.9819511의왕시031-345-3373
2의왕시고천동12경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.331449126.9829221의왕시031-345-3373
3의왕시고천동13경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.330115126.9838921의왕시031-345-3373
4의왕시고천동14경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.333755126.9817021의왕시031-345-3373
5의왕시고천동15경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.335287126.980981의왕시031-345-3373
6의왕시고천동16경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.361141126.9621781의왕시031-345-3373
7의왕시고천동50경수대로경기도 의왕시 경수대로 75경기도 의왕시 왕곡동 531-6번지37.349728126.9726461의왕시031-345-3373
8의왕시고천동40시청로경기도 의왕시 시청로 96경기도 의왕시 고천동 328-10번지37.350474126.9667881의왕시031-345-3373
9의왕시고천동41시청로경기도 의왕시 시청로 96경기도 의왕시 고천동 328-10번지37.349529126.9678381의왕시031-345-3373
시군명읍면동명관리번호설치장소명소재지도로명주소소재지지번주소위도경도제설함수관리기관명관리기관전화번호
95의왕시부곡동66부곡중앙남 6길경기도 의왕시 부곡중앙남6길 18경기도 의왕시 삼동 215-14번지37.320174126.9539721의왕시031-345-3373
96의왕시부곡동68삼호한아름아파트경기도 의왕시 까치골길 20경기도 의왕시 삼동 125번지 한아름아파트37.317634126.9558841의왕시031-345-3373
97의왕시부곡동64부곡복지관길경기도 의왕시 부곡복지관길 53경기도 의왕시 삼동 286-16번지37.324588126.9569961의왕시031-345-3373
98의왕시부곡동100중앙샛길 프라임그린빌경기도 의왕시 중앙샛길 36-1경기도 의왕시 삼동 215-21번지37.320132126.9531171의왕시031-345-3373
99의왕시부곡동101중앙샛길 프라임그린빌경기도 의왕시 중앙샛길 36-1경기도 의왕시 삼동 215-21번지37.320031126.9533771의왕시031-345-3373
100의왕시부곡동105중앙새우대길 27경기도 의왕시 중간새우대길 27경기도 의왕시 초평동 411-137.310366126.9368131의왕시031-345-3373
101의왕시부곡동67까치아파트 근처 내리막길경기도 의왕시 까치골길 7경기도 의왕시 삼동 121-6번지 까치아파트37.316967126.9541461의왕시031-345-3373
102의왕시부곡동65능애고개길 32경기도 의왕시 부곡복지관길 41경기도 의왕시 삼동 462-20번지 부곡대우아파트37.322339126.9543211의왕시031-345-3373
103의왕시부곡동103자연숲어린이집경기도 의왕시 월암새터마을길 6경기도 의왕시 월암동 353-7번지37.312347126.9547831의왕시031-345-3373
104의왕시부곡동97신애교회 근처경기도 의왕시 별묘길 3경기도 의왕시 왕곡동 83-9번지 이레빌37.345948126.9946431의왕시031-345-3373