Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells14
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory51.7 B

Variable types

Unsupported1
Text5

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12032/S/1/datasetView.do

Alerts

Unnamed: 5 has 14 (38.9%) missing valuesMissing
Unnamed: 2 has unique valuesUnique
Unnamed: 3 has unique valuesUnique
재활용센터 위탁현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 09:31:24.990644
Analysis finished2023-12-11 09:31:25.567436
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재활용센터 위탁현황
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size420.0 B

Unnamed: 1
Text

Distinct26
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T18:31:25.692402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.1111111
Min length5

Characters and Unicode

Total characters256
Distinct characters42
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)50.0%

Sample

1st row지역 구분
2nd row서울시 종로구
3rd row서울시 중구
4th row서울시 용산구
5th row서울시 성동구
ValueCountFrequency (%)
서울시 35
48.6%
강서구 3
 
4.2%
동대문구 3
 
4.2%
서대문구 2
 
2.8%
강남구 2
 
2.8%
영등포구 2
 
2.8%
금천구 2
 
2.8%
노원구 2
 
2.8%
양천구 2
 
2.8%
동작구 1
 
1.4%
Other values (18) 18
25.0%
2023-12-11T18:31:26.153099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 41
16.0%
구 37
14.5%
36
14.1%
시 35
13.7%
울 35
13.7%
강 7
 
2.7%
동 6
 
2.3%
대 5
 
2.0%
문 5
 
2.0%
천 4
 
1.6%
Other values (32) 45
17.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
85.9%
Space Separator 36
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 41
18.6%
구 37
16.8%
시 35
15.9%
울 35
15.9%
강 7
 
3.2%
동 6
 
2.7%
대 5
 
2.3%
문 5
 
2.3%
천 4
 
1.8%
포 3
 
1.4%
Other values (31) 42
19.1%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
85.9%
Common 36
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 41
18.6%
구 37
16.8%
시 35
15.9%
울 35
15.9%
강 7
 
3.2%
동 6
 
2.7%
대 5
 
2.3%
문 5
 
2.3%
천 4
 
1.8%
포 3
 
1.4%
Other values (31) 42
19.1%
Common
ValueCountFrequency (%)
36
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
85.9%
ASCII 36
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 41
18.6%
구 37
16.8%
시 35
15.9%
울 35
15.9%
강 7
 
3.2%
동 6
 
2.7%
대 5
 
2.3%
문 5
 
2.3%
천 4
 
1.8%
포 3
 
1.4%
Other values (31) 42
19.1%
ASCII
ValueCountFrequency (%)
36
100.0%

Unnamed: 2
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T18:31:26.394005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6666667
Min length2

Characters and Unicode

Total characters348
Distinct characters63
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row상호
2nd row종로구 재활용센터
3rd row중구 재활용센터
4th row용산구 재활용센터
5th row성동구 재활용센터
ValueCountFrequency (%)
재활용센터 29
37.7%
동대문구 3
 
3.9%
1관 3
 
3.9%
2관 2
 
2.6%
노원구 2
 
2.6%
영등포구 2
 
2.6%
양천구 2
 
2.6%
서대문구 2
 
2.6%
상호 1
 
1.3%
해피트리리사이클 1
 
1.3%
Other values (30) 30
39.0%
2023-12-11T18:31:26.769088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
11.8%
용 33
 
9.5%
터 32
 
9.2%
재 32
 
9.2%
활 32
 
9.2%
센 32
 
9.2%
구 31
 
8.9%
관 8
 
2.3%
동 7
 
2.0%
서 6
 
1.7%
Other values (53) 94
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
85.6%
Space Separator 41
 
11.8%
Decimal Number 8
 
2.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 33
11.1%
터 32
 
10.7%
재 32
 
10.7%
활 32
 
10.7%
센 32
 
10.7%
구 31
 
10.4%
관 8
 
2.7%
동 7
 
2.3%
서 6
 
2.0%
대 5
 
1.7%
Other values (48) 80
26.8%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 3
37.5%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
85.9%
Common 49
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 33
11.0%
터 32
 
10.7%
재 32
 
10.7%
활 32
 
10.7%
센 32
 
10.7%
구 31
 
10.4%
관 8
 
2.7%
동 7
 
2.3%
서 6
 
2.0%
대 5
 
1.7%
Other values (49) 81
27.1%
Common
ValueCountFrequency (%)
41
83.7%
1 4
 
8.2%
2 3
 
6.1%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
85.6%
ASCII 49
 
14.1%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
83.7%
1 4
 
8.2%
2 3
 
6.1%
3 1
 
2.0%
Hangul
ValueCountFrequency (%)
용 33
11.1%
터 32
 
10.7%
재 32
 
10.7%
활 32
 
10.7%
센 32
 
10.7%
구 31
 
10.4%
관 8
 
2.7%
동 7
 
2.3%
서 6
 
2.0%
대 5
 
1.7%
Other values (48) 80
26.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 3
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T18:31:27.102582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.388889
Min length4

Characters and Unicode

Total characters626
Distinct characters91
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

Unique36 ?
Unique (%)100.0%

Sample

1st row상세주소
2nd row서울시 종로구 낙원동 218-2
3rd row서울시 중구 신당동 330-17
4th row서울시 용산구 한강로1가 73-1
5th row서울시 성동구 송정동 78-1
ValueCountFrequency (%)
서울시 35
 
24.3%
동대문구 3
 
2.1%
영등포구 2
 
1.4%
서대문구 2
 
1.4%
금천구 2
 
1.4%
강서구 2
 
1.4%
노원구 2
 
1.4%
외 2
 
1.4%
홍은동 2
 
1.4%
양천구 2
 
1.4%
Other values (89) 90
62.5%
2023-12-11T18:31:27.589612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
17.3%
동 40
 
6.4%
1 40
 
6.4%
서 40
 
6.4%
시 36
 
5.8%
구 36
 
5.8%
울 35
 
5.6%
- 30
 
4.8%
3 19
 
3.0%
2 18
 
2.9%
Other values (81) 224
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
52.9%
Decimal Number 157
25.1%
Space Separator 108
 
17.3%
Dash Punctuation 30
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
12.1%
서 40
 
12.1%
시 36
 
10.9%
구 36
 
10.9%
울 35
 
10.6%
강 7
 
2.1%
신 5
 
1.5%
천 5
 
1.5%
문 5
 
1.5%
대 5
 
1.5%
Other values (69) 117
35.3%
Decimal Number
ValueCountFrequency (%)
1 40
25.5%
3 19
12.1%
2 18
11.5%
4 15
 
9.6%
7 15
 
9.6%
0 14
 
8.9%
9 11
 
7.0%
5 11
 
7.0%
8 7
 
4.5%
6 7
 
4.5%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
52.9%
Common 295
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
12.1%
서 40
 
12.1%
시 36
 
10.9%
구 36
 
10.9%
울 35
 
10.6%
강 7
 
2.1%
신 5
 
1.5%
천 5
 
1.5%
문 5
 
1.5%
대 5
 
1.5%
Other values (69) 117
35.3%
Common
ValueCountFrequency (%)
108
36.6%
1 40
 
13.6%
- 30
 
10.2%
3 19
 
6.4%
2 18
 
6.1%
4 15
 
5.1%
7 15
 
5.1%
0 14
 
4.7%
9 11
 
3.7%
5 11
 
3.7%
Other values (2) 14
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
52.9%
ASCII 295
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
36.6%
1 40
 
13.6%
- 30
 
10.2%
3 19
 
6.4%
2 18
 
6.1%
4 15
 
5.1%
7 15
 
5.1%
0 14
 
4.7%
9 11
 
3.7%
5 11
 
3.7%
Other values (2) 14
 
4.7%
Hangul
ValueCountFrequency (%)
동 40
 
12.1%
서 40
 
12.1%
시 36
 
10.9%
구 36
 
10.9%
울 35
 
10.6%
강 7
 
2.1%
신 5
 
1.5%
천 5
 
1.5%
문 5
 
1.5%
대 5
 
1.5%
Other values (69) 117
35.3%

Unnamed: 4
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T18:31:27.850554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.083333
Min length3

Characters and Unicode

Total characters399
Distinct characters14
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

Unique34 ?
Unique (%)94.4%

Sample

1st row연락처
2nd row02-762-7289
3rd row02-2233-7289
4th row02-794-8665
5th row02-228-7581
ValueCountFrequency (%)
02-394-8272 2
 
5.6%
02-2675-7289 1
 
2.8%
02-2651-2582 1
 
2.8%
02-2602-0502 1
 
2.8%
02-2666-7262 1
 
2.8%
02-2691-8425 1
 
2.8%
02-858-8272 1
 
2.8%
02-802-7882 1
 
2.8%
02-431-6790 1
 
2.8%
연락처 1
 
2.8%
Other values (25) 25
69.4%
2023-12-11T18:31:28.245719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 101
25.3%
- 70
17.5%
0 48
12.0%
7 39
 
9.8%
8 35
 
8.8%
9 21
 
5.3%
1 20
 
5.0%
6 20
 
5.0%
3 15
 
3.8%
5 14
 
3.5%
Other values (4) 16
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 326
81.7%
Dash Punctuation 70
 
17.5%
Other Letter 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 101
31.0%
0 48
14.7%
7 39
 
12.0%
8 35
 
10.7%
9 21
 
6.4%
1 20
 
6.1%
6 20
 
6.1%
3 15
 
4.6%
5 14
 
4.3%
4 13
 
4.0%
Other Letter
ValueCountFrequency (%)
연 1
33.3%
락 1
33.3%
처 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
99.2%
Hangul 3
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 101
25.5%
- 70
17.7%
0 48
12.1%
7 39
 
9.8%
8 35
 
8.8%
9 21
 
5.3%
1 20
 
5.1%
6 20
 
5.1%
3 15
 
3.8%
5 14
 
3.5%
Hangul
ValueCountFrequency (%)
연 1
33.3%
락 1
33.3%
처 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
99.2%
Hangul 3
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 101
25.5%
- 70
17.7%
0 48
12.1%
7 39
 
9.8%
8 35
 
8.8%
9 21
 
5.3%
1 20
 
5.1%
6 20
 
5.1%
3 15
 
3.8%
5 14
 
3.5%
Hangul
ValueCountFrequency (%)
연 1
33.3%
락 1
33.3%
처 1
33.3%

Unnamed: 5
Text

MISSING 

Distinct16
Distinct (%)72.7%
Missing14
Missing (%)38.9%
Memory size420.0 B
2023-12-11T18:31:28.515117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length47
Mean length49.272727
Min length6

Characters and Unicode

Total characters1084
Distinct characters51
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)50.0%

Sample

1st row사이트URL
2nd rowhttp://www.zungo.co.kr/central/jr_center1_1.php
3rd rowhttp://zungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
4th rowhttp://kk7272.com/shop/main/index.php
5th rowhttp://www.dm8272.co.kr/
ValueCountFrequency (%)
http://www.zungo.co.kr/north/nw1_center1_1.php 3
13.6%
http://www.dm8272.co.kr 2
 
9.1%
http://www.jgmarket.co.kr/shop/main/index.php 2
 
9.1%
http://www.zungo.co.kr/main/main.php?cpc_referer=http%3a%2f%2ffleamarket.seoul.go.kr%2frcmarket%2findex.do 2
 
9.1%
http://www.kn4989.com/main/main.php 2
 
9.1%
http://www.junggo114.com/main/main.htm 1
 
4.5%
http://www.jungo.co.kr/main/main.php?cpc_referer=http%3a%2f%2ffleamarket.seoul.go.kr%2frcmarket%2findex.do 1
 
4.5%
http://grecycle.kr/green 1
 
4.5%
http://www.gurogu.co.kr/main/main.php 1
 
4.5%
http://www.recycletown.co.kr/shop/main/index.php 1
 
4.5%
Other values (6) 6
27.3%
2023-12-11T18:31:28.906428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 88
 
8.1%
/ 84
 
7.7%
t 71
 
6.5%
p 59
 
5.4%
w 58
 
5.4%
n 55
 
5.1%
o 53
 
4.9%
h 49
 
4.5%
r 49
 
4.5%
e 44
 
4.1%
Other values (41) 474
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 718
66.2%
Other Punctuation 219
 
20.2%
Decimal Number 63
 
5.8%
Uppercase Letter 63
 
5.8%
Connector Punctuation 12
 
1.1%
Math Symbol 6
 
0.6%
Other Letter 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 71
 
9.9%
p 59
 
8.2%
w 58
 
8.1%
n 55
 
7.7%
o 53
 
7.4%
h 49
 
6.8%
r 49
 
6.8%
e 44
 
6.1%
m 40
 
5.6%
k 35
 
4.9%
Other values (14) 205
28.6%
Decimal Number
ValueCountFrequency (%)
2 26
41.3%
1 14
22.2%
7 6
 
9.5%
8 5
 
7.9%
9 4
 
6.3%
3 4
 
6.3%
4 3
 
4.8%
6 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
F 20
31.7%
R 13
20.6%
E 12
19.0%
C 8
 
12.7%
A 4
 
6.3%
P 4
 
6.3%
U 1
 
1.6%
L 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 88
40.2%
/ 84
38.4%
: 21
 
9.6%
% 20
 
9.1%
? 5
 
2.3%
& 1
 
0.5%
Other Letter
ValueCountFrequency (%)
사 1
33.3%
이 1
33.3%
트 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 781
72.0%
Common 300
 
27.7%
Hangul 3
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 71
 
9.1%
p 59
 
7.6%
w 58
 
7.4%
n 55
 
7.0%
o 53
 
6.8%
h 49
 
6.3%
r 49
 
6.3%
e 44
 
5.6%
m 40
 
5.1%
k 35
 
4.5%
Other values (22) 268
34.3%
Common
ValueCountFrequency (%)
. 88
29.3%
/ 84
28.0%
2 26
 
8.7%
: 21
 
7.0%
% 20
 
6.7%
1 14
 
4.7%
_ 12
 
4.0%
7 6
 
2.0%
= 6
 
2.0%
? 5
 
1.7%
Other values (6) 18
 
6.0%
Hangul
ValueCountFrequency (%)
사 1
33.3%
이 1
33.3%
트 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1081
99.7%
Hangul 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 88
 
8.1%
/ 84
 
7.8%
t 71
 
6.6%
p 59
 
5.5%
w 58
 
5.4%
n 55
 
5.1%
o 53
 
4.9%
h 49
 
4.5%
r 49
 
4.5%
e 44
 
4.1%
Other values (38) 471
43.6%
Hangul
ValueCountFrequency (%)
사 1
33.3%
이 1
33.3%
트 1
33.3%

Correlations

2023-12-11T18:31:29.267810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
Unnamed: 11.0001.0001.0001.0000.971
Unnamed: 21.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.0001.000
Unnamed: 50.9711.0001.0001.0001.000

Missing values

2023-12-11T18:31:25.402291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:31:25.510517image/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

재활용센터 위탁현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
0연번지역 구분상호상세주소연락처사이트URL
11서울시 종로구종로구 재활용센터서울시 종로구 낙원동 218-202-762-7289http://www.zungo.co.kr/central/jr_center1_1.php
22서울시 중구중구 재활용센터서울시 중구 신당동 330-1702-2233-7289http://zungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
33서울시 용산구용산구 재활용센터서울시 용산구 한강로1가 73-102-794-8665<NA>
44서울시 성동구성동구 재활용센터서울시 성동구 송정동 78-102-228-7581<NA>
55서울시 광진구광진구 재활용센터서울시 광진구 자양동 612-4402-497-7272http://kk7272.com/shop/main/index.php
66서울시 동대문구동대문구 제1재활용센터서울시 동대문구 장안동 106-2102-2213-8272http://www.dm8272.co.kr/
77서울시 동대문구동대문구 제2재활용센터서울시 동대문구 전농1동 581-102-2242-7282<NA>
88서울시 동대문구동대문구 제3재활용센터서울시 동대문구 장안1동 143-4502-2216-4303http://www.dm8272.co.kr/
99서울시 중랑구중랑구 재활용센터서울시 중랑구 면목동 504-502-435-7272<NA>
재활용센터 위탁현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
2626서울시 금천구독산동 재활용센터서울시 금천구 독산3동 990-202-863-7282http://www.zungo.co.kr/north/nw1_center1_1.php
2727서울시 영등포구영등포구 재활용센터 1관서울시 영등포구 당산동3가 40702-2675-7289http://www.jgmarket.co.kr/shop/main/index.php
2828서울시 영등포구영등포구 재활용센터 2관서울시 영등포구 신길동 3937-1002-2632-7289<NA>
2929서울시 동작구동작구 재활용센터서울시 동작구 노량진동 231-11102-811-1118http://grecycle.kr/green/
3030서울시 관악구관악구 재활용센터 1관서울시 관악구 신림동 564-402-886-9113http://www.jungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
3131서울시 서초구서초구 재활용센터서울시 서초구 원지동 2302-571-0272<NA>
3232서울시 강남구강남구 재활용센터서울시 강남구 도곡동 515-1002-579-6677http://www.kn4989.com/main/main.php
3333서울시 강남구리싸이클세상서울시 강남구 논현동 164-702-501-7157<NA>
3434서울시 송파구송파구 재활용센터서울시 송파구 마천동 2702-431-6790<NA>
3535서울시 강동구㈜리싸이클씨티서울시 강동구 고덕동 30202-429-6114http://www.kn4989.com/main/main.php