Overview

Dataset statistics

Number of variables9
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory74.8 B

Variable types

Numeric1
Categorical5
Text3

Dataset

Description서울특별시 중랑구 가로 쓰레기통 현황 입니다. 데이터는 연번, 자치구명, 관리번호, 도로명, 설치위치, 설치지점 ,수거쓰레기종류,가로쓰레기통형태,관리기관 연락처로 구성되어있습니다. 참고해주시기바랍니다. 감사합니다.
URLhttps://www.data.go.kr/data/15087636/fileData.do

Alerts

자치구명 has constant value ""Constant
관리기관연락처 has constant value ""Constant
연번 is highly overall correlated with 수거쓰레기종류 and 1 other fieldsHigh correlation
설치지점 is highly overall correlated with 수거쓰레기종류 and 1 other fieldsHigh correlation
수거쓰레기종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
가로쓰레기통형태 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
수거쓰레기종류 is highly imbalanced (54.4%)Imbalance
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:15:47.932699
Analysis finished2023-12-12 10:15:48.789418
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T19:15:48.878039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2023-12-12T19:15:49.051783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
서울특별시 중랑구
73 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 중랑구
2nd row서울특별시 중랑구
3rd row서울특별시 중랑구
4th row서울특별시 중랑구
5th row서울특별시 중랑구

Common Values

ValueCountFrequency (%)
서울특별시 중랑구 73
100.0%

Length

2023-12-12T19:15:49.217857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:49.339475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 73
50.0%
중랑구 73
50.0%

관리번호
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T19:15:49.603404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.260274
Min length5

Characters and Unicode

Total characters457
Distinct characters15
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

Unique73 ?
Unique (%)100.0%

Sample

1st row중랑구-1
2nd row중랑구-2
3rd row중랑구-3
4th row중랑구-4
5th row중랑구-5
ValueCountFrequency (%)
중랑구-1 1
 
1.4%
중랑구-40 1
 
1.4%
중랑구-57 1
 
1.4%
중랑구-56 1
 
1.4%
중랑구-55 1
 
1.4%
중랑구-54 1
 
1.4%
중랑구-52 1
 
1.4%
중랑구-51 1
 
1.4%
중랑구-50 1
 
1.4%
중랑구-49 1
 
1.4%
Other values (63) 63
86.3%
2023-12-12T19:15:50.039430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 87
19.0%
73
16.0%
73
16.0%
73
16.0%
1 23
 
5.0%
2 18
 
3.9%
4 18
 
3.9%
3 17
 
3.7%
5 16
 
3.5%
0 16
 
3.5%
Other values (5) 43
9.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
51.0%
Decimal Number 137
30.0%
Dash Punctuation 87
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
16.8%
2 18
13.1%
4 18
13.1%
3 17
12.4%
5 16
11.7%
0 16
11.7%
6 9
 
6.6%
8 7
 
5.1%
9 7
 
5.1%
7 6
 
4.4%
Other Letter
ValueCountFrequency (%)
73
31.3%
73
31.3%
73
31.3%
14
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
51.0%
Common 224
49.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 87
38.8%
1 23
 
10.3%
2 18
 
8.0%
4 18
 
8.0%
3 17
 
7.6%
5 16
 
7.1%
0 16
 
7.1%
6 9
 
4.0%
8 7
 
3.1%
9 7
 
3.1%
Hangul
ValueCountFrequency (%)
73
31.3%
73
31.3%
73
31.3%
14
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
51.0%
ASCII 224
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 87
38.8%
1 23
 
10.3%
2 18
 
8.0%
4 18
 
8.0%
3 17
 
7.6%
5 16
 
7.1%
0 16
 
7.1%
6 9
 
4.0%
8 7
 
3.1%
9 7
 
3.1%
Hangul
ValueCountFrequency (%)
73
31.3%
73
31.3%
73
31.3%
14
 
6.0%
Distinct57
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T19:15:50.258456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16.356164
Min length13

Characters and Unicode

Total characters1194
Distinct characters48
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

Unique53 ?
Unique (%)72.6%

Sample

1st row서울특별시 중랑구 신내로 155
2nd row서울특별시 중랑구 신내로 110
3rd row서울특별시 중랑구 신내로
4th row서울특별시 중랑구 신내로
5th row서울특별시 중랑구 봉화산로 174
ValueCountFrequency (%)
서울특별시 73
26.5%
중랑구 73
26.5%
망우로 24
 
8.7%
동일로 9
 
3.3%
신내로 7
 
2.5%
용마산로 7
 
2.5%
겸재로 5
 
1.8%
중랑천로 4
 
1.5%
봉화산로 4
 
1.5%
봉우재로 3
 
1.1%
Other values (57) 66
24.0%
2023-12-12T19:15:50.591595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
17.3%
79
 
6.6%
79
 
6.6%
73
 
6.1%
73
 
6.1%
73
 
6.1%
73
 
6.1%
73
 
6.1%
73
 
6.1%
73
 
6.1%
Other values (38) 319
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
69.8%
Space Separator 206
 
17.3%
Decimal Number 153
 
12.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
9.5%
79
9.5%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
27
 
3.2%
Other values (26) 138
16.5%
Decimal Number
ValueCountFrequency (%)
1 29
19.0%
8 20
13.1%
2 16
10.5%
3 16
10.5%
7 15
9.8%
5 14
9.2%
9 12
7.8%
4 12
7.8%
6 11
 
7.2%
0 8
 
5.2%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
69.8%
Common 360
30.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
9.5%
79
9.5%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
27
 
3.2%
Other values (26) 138
16.5%
Common
ValueCountFrequency (%)
206
57.2%
1 29
 
8.1%
8 20
 
5.6%
2 16
 
4.4%
3 16
 
4.4%
7 15
 
4.2%
5 14
 
3.9%
9 12
 
3.3%
4 12
 
3.3%
6 11
 
3.1%
Other values (2) 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 834
69.8%
ASCII 360
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
57.2%
1 29
 
8.1%
8 20
 
5.6%
2 16
 
4.4%
3 16
 
4.4%
7 15
 
4.2%
5 14
 
3.9%
9 12
 
3.3%
4 12
 
3.3%
6 11
 
3.1%
Other values (2) 9
 
2.5%
Hangul
ValueCountFrequency (%)
79
9.5%
79
9.5%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
73
8.8%
27
 
3.2%
Other values (26) 138
16.5%
Distinct67
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T19:15:50.834892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length14.547945
Min length7

Characters and Unicode

Total characters1062
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)83.6%

Sample

1st row신내8단지,서울의료원(07-279)
2nd row신내동성3차아파트(07-275)
3rd row봉화산역2번출구(07-296)
4th row지하철6호선화랑대역5번출구(07-295)
5th row신현중학교(07266)
ValueCountFrequency (%)
버스중앙차로 15
 
15.8%
5
 
5.3%
07-001 2
 
2.1%
07-007 2
 
2.1%
07-011 2
 
2.1%
07-003 2
 
2.1%
07-005 2
 
2.1%
07-002 2
 
2.1%
성원아파트(07-272 1
 
1.1%
이디야커피 1
 
1.1%
Other values (61) 61
64.2%
2023-12-12T19:15:51.260465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 105
 
9.9%
7 84
 
7.9%
( 69
 
6.5%
- 69
 
6.5%
) 69
 
6.5%
2 41
 
3.9%
1 41
 
3.9%
28
 
2.6%
3 24
 
2.3%
22
 
2.1%
Other values (132) 510
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
43.3%
Decimal Number 363
34.2%
Open Punctuation 69
 
6.5%
Dash Punctuation 69
 
6.5%
Close Punctuation 69
 
6.5%
Space Separator 22
 
2.1%
Uppercase Letter 6
 
0.6%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
6.1%
18
 
3.9%
18
 
3.9%
17
 
3.7%
17
 
3.7%
17
 
3.7%
16
 
3.5%
13
 
2.8%
12
 
2.6%
10
 
2.2%
Other values (112) 294
63.9%
Decimal Number
ValueCountFrequency (%)
0 105
28.9%
7 84
23.1%
2 41
 
11.3%
1 41
 
11.3%
3 24
 
6.6%
5 19
 
5.2%
6 15
 
4.1%
9 13
 
3.6%
4 13
 
3.6%
8 8
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
T 2
33.3%
S 1
16.7%
C 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
/ 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 596
56.1%
Hangul 460
43.3%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
6.1%
18
 
3.9%
18
 
3.9%
17
 
3.7%
17
 
3.7%
17
 
3.7%
16
 
3.5%
13
 
2.8%
12
 
2.6%
10
 
2.2%
Other values (112) 294
63.9%
Common
ValueCountFrequency (%)
0 105
17.6%
7 84
14.1%
( 69
11.6%
- 69
11.6%
) 69
11.6%
2 41
 
6.9%
1 41
 
6.9%
3 24
 
4.0%
22
 
3.7%
5 19
 
3.2%
Other values (6) 53
8.9%
Latin
ValueCountFrequency (%)
K 2
33.3%
T 2
33.3%
S 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 602
56.7%
Hangul 460
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105
17.4%
7 84
14.0%
( 69
11.5%
- 69
11.5%
) 69
11.5%
2 41
 
6.8%
1 41
 
6.8%
3 24
 
4.0%
22
 
3.7%
5 19
 
3.2%
Other values (10) 59
9.8%
Hangul
ValueCountFrequency (%)
28
 
6.1%
18
 
3.9%
18
 
3.9%
17
 
3.7%
17
 
3.7%
17
 
3.7%
16
 
3.5%
13
 
2.8%
12
 
2.6%
10
 
2.2%
Other values (112) 294
63.9%

설치지점
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
버스정류장
52 
버스중앙차로내 휴지통
16 
상가지역
 
2
횡단보도 입구
 
2
도로(가로)변
 
1

Length

Max length11
Median length5
Mean length6.369863
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
버스정류장 52
71.2%
버스중앙차로내 휴지통 16
 
21.9%
상가지역 2
 
2.7%
횡단보도 입구 2
 
2.7%
도로(가로)변 1
 
1.4%

Length

2023-12-12T19:15:51.436290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:51.591318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
버스정류장 52
57.1%
버스중앙차로내 16
 
17.6%
휴지통 16
 
17.6%
상가지역 2
 
2.2%
횡단보도 2
 
2.2%
입구 2
 
2.2%
도로(가로)변 1
 
1.1%

수거쓰레기종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
일반쓰레기통
66 
재활용쓰레기통

Length

Max length7
Median length6
Mean length6.0958904
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반쓰레기통 66
90.4%
재활용쓰레기통 7
 
9.6%

Length

2023-12-12T19:15:51.724735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:51.858859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반쓰레기통 66
90.4%
재활용쓰레기통 7
 
9.6%

가로쓰레기통형태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
일반 사각쓰레기통
59 
항아리형 쓰레기통
14 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반 사각쓰레기통
2nd row일반 사각쓰레기통
3rd row일반 사각쓰레기통
4th row일반 사각쓰레기통
5th row일반 사각쓰레기통

Common Values

ValueCountFrequency (%)
일반 사각쓰레기통 59
80.8%
항아리형 쓰레기통 14
 
19.2%

Length

2023-12-12T19:15:51.979814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:52.099375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 59
40.4%
사각쓰레기통 59
40.4%
항아리형 14
 
9.6%
쓰레기통 14
 
9.6%

관리기관연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
02-2094-1958
73 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2094-1958
2nd row02-2094-1958
3rd row02-2094-1958
4th row02-2094-1958
5th row02-2094-1958

Common Values

ValueCountFrequency (%)
02-2094-1958 73
100.0%

Length

2023-12-12T19:15:52.200728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:52.309257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2094-1958 73
100.0%

Interactions

2023-12-12T19:15:48.461340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:15:52.371729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호도로명설치위치설치지점수거쓰레기종류가로쓰레기통형태
연번1.0001.0000.9460.9560.8140.9160.998
관리번호1.0001.0001.0001.0001.0001.0001.000
도로명0.9461.0001.0000.9991.0000.0000.700
설치위치0.9561.0000.9991.0001.0000.0001.000
설치지점0.8141.0001.0001.0001.0000.4810.782
수거쓰레기종류0.9161.0000.0000.0000.4811.0000.811
가로쓰레기통형태0.9981.0000.7001.0000.7820.8111.000
2023-12-12T19:15:52.514135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수거쓰레기종류설치지점가로쓰레기통형태
수거쓰레기종류1.0000.5720.602
설치지점0.5721.0000.895
가로쓰레기통형태0.6020.8951.000
2023-12-12T19:15:52.633908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치지점수거쓰레기종류가로쓰레기통형태
연번1.0000.4530.7140.900
설치지점0.4531.0000.5720.895
수거쓰레기종류0.7140.5721.0000.602
가로쓰레기통형태0.9000.8950.6021.000

Missing values

2023-12-12T19:15:48.596890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:15:48.731658image/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

연번자치구명관리번호도로명설치위치설치지점수거쓰레기종류가로쓰레기통형태관리기관연락처
01서울특별시 중랑구중랑구-1서울특별시 중랑구 신내로 155신내8단지,서울의료원(07-279)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
12서울특별시 중랑구중랑구-2서울특별시 중랑구 신내로 110신내동성3차아파트(07-275)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
23서울특별시 중랑구중랑구-3서울특별시 중랑구 신내로봉화산역2번출구(07-296)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
34서울특별시 중랑구중랑구-4서울특별시 중랑구 신내로지하철6호선화랑대역5번출구(07-295)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
45서울특별시 중랑구중랑구-5서울특별시 중랑구 봉화산로 174신현중학교(07266)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
56서울특별시 중랑구중랑구-6서울특별시 중랑구 동일로 919묵동삼거리,먹골역(07-103)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
67서울특별시 중랑구중랑구-7서울특별시 중랑구 동일로 918던킨도너츠 앞상가지역일반쓰레기통일반 사각쓰레기통02-2094-1958
78서울특별시 중랑구중랑구-8서울특별시 중랑구 동일로 884먹골역(07-426)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
89서울특별시 중랑구중랑구-9서울특별시 중랑구 동일로 859한국전력동부지사(07-105)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
910서울특별시 중랑구중랑구-10서울특별시 중랑구 동일로 810중화역1-2(07-108)버스정류장일반쓰레기통일반 사각쓰레기통02-2094-1958
연번자치구명관리번호도로명설치위치설치지점수거쓰레기종류가로쓰레기통형태관리기관연락처
6364서울특별시 중랑구중랑구-항-05서울특별시 중랑구 망우로버스중앙차로 (07-005)버스중앙차로내 휴지통일반쓰레기통항아리형 쓰레기통02-2094-1958
6465서울특별시 중랑구중랑구-항-06서울특별시 중랑구 망우로버스중앙차로 (07-001)버스중앙차로내 휴지통일반쓰레기통항아리형 쓰레기통02-2094-1958
6566서울특별시 중랑구중랑구-항-07서울특별시 중랑구 망우로버스중앙차로 (07-007)버스중앙차로내 휴지통재활용쓰레기통항아리형 쓰레기통02-2094-1958
6667서울특별시 중랑구중랑구-항-08서울특별시 중랑구 망우로버스중앙차로 (07-009)버스중앙차로내 휴지통재활용쓰레기통항아리형 쓰레기통02-2094-1958
6768서울특별시 중랑구중랑구-항-09서울특별시 중랑구 망우로버스중앙차로 (07-003)버스중앙차로내 휴지통일반쓰레기통항아리형 쓰레기통02-2094-1958
6869서울특별시 중랑구중랑구-항-10서울특별시 중랑구 망우로버스중앙차로 (07-002)버스중앙차로내 휴지통재활용쓰레기통항아리형 쓰레기통02-2094-1958
6970서울특별시 중랑구중랑구-항-11서울특별시 중랑구 망우로버스중앙차로 (07-003)버스중앙차로내 휴지통재활용쓰레기통항아리형 쓰레기통02-2094-1958
7071서울특별시 중랑구중랑구-항-12서울특별시 중랑구 망우로버스중앙차로 (07-001)버스중앙차로내 휴지통재활용쓰레기통항아리형 쓰레기통02-2094-1958
7172서울특별시 중랑구중랑구-항-13서울특별시 중랑구 망우로 353버스중앙차로 (07-005)버스중앙차로내 휴지통재활용쓰레기통항아리형 쓰레기통02-2094-1958
7273서울특별시 중랑구중랑구-항-14서울특별시 중랑구 망우로 353버스중앙차로 (07-002)버스중앙차로내 휴지통일반쓰레기통항아리형 쓰레기통02-2094-1958