Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells6
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.0 B

Variable types

Numeric1
Text5

Dataset

Description연번,지역구분,상호,상세주소,연락처,사이트URL
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12032/S/1/datasetView.do

Alerts

사이트URL has 6 (18.8%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
상세주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-21 14:04:34.846586
Analysis finished2024-04-21 14:04:35.767250
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T23:04:35.877972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-04-21T23:04:36.101744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

지역구분
Text

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T23:04:36.569118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.15625
Min length6

Characters and Unicode

Total characters229
Distinct characters36
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

Unique15 ?
Unique (%)46.9%

Sample

1st row서울시 중구
2nd row서울시 용산구
3rd row서울시 성동구
4th row서울시 광진구
5th row서울시 동대문구
ValueCountFrequency (%)
서울시 32
50.0%
강서구 4
 
6.2%
동대문구 3
 
4.7%
양천구 2
 
3.1%
강남구 2
 
3.1%
영등포구 2
 
3.1%
금천구 2
 
3.1%
노원구 2
 
3.1%
구로구 1
 
1.6%
중구 1
 
1.6%
Other values (13) 13
20.3%
2024-04-21T23:04:37.270366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 38
16.6%
구 33
14.4%
시 32
14.0%
32
14.0%
울 32
14.0%
강 8
 
3.5%
동 5
 
2.2%
대 4
 
1.7%
문 4
 
1.7%
천 4
 
1.7%
Other values (26) 37
16.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
86.0%
Space Separator 32
 
14.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 38
19.3%
구 33
16.8%
시 32
16.2%
울 32
16.2%
강 8
 
4.1%
동 5
 
2.5%
대 4
 
2.0%
문 4
 
2.0%
천 4
 
2.0%
노 2
 
1.0%
Other values (25) 35
17.8%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
86.0%
Common 32
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 38
19.3%
구 33
16.8%
시 32
16.2%
울 32
16.2%
강 8
 
4.1%
동 5
 
2.5%
대 4
 
2.0%
문 4
 
2.0%
천 4
 
2.0%
노 2
 
1.0%
Other values (25) 35
17.8%
Common
ValueCountFrequency (%)
32
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
86.0%
ASCII 32
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 38
19.3%
구 33
16.8%
시 32
16.2%
울 32
16.2%
강 8
 
4.1%
동 5
 
2.5%
대 4
 
2.0%
문 4
 
2.0%
천 4
 
2.0%
노 2
 
1.0%
Other values (25) 35
17.8%
ASCII
ValueCountFrequency (%)
32
100.0%

상호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T23:04:37.844534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.90625
Min length6

Characters and Unicode

Total characters317
Distinct characters58
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

Unique32 ?
Unique (%)100.0%

Sample

1st row중구 재활용센터
2nd row용산구 재활용센터
3rd row성동구 재활용센터
4th row광진구 재활용센터
5th row동대문구 제1재활용센터
ValueCountFrequency (%)
재활용센터 26
37.7%
동대문구 3
 
4.3%
양천구 2
 
2.9%
1관 2
 
2.9%
강서구 2
 
2.9%
노원구 2
 
2.9%
영등포구 2
 
2.9%
관악구 1
 
1.4%
2관 1
 
1.4%
서초구 1
 
1.4%
Other values (27) 27
39.1%
2024-04-21T23:04:38.682719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
11.7%
용 31
 
9.8%
재 30
 
9.5%
활 30
 
9.5%
센 30
 
9.5%
터 30
 
9.5%
구 27
 
8.5%
서 6
 
1.9%
동 6
 
1.9%
관 6
 
1.9%
Other values (48) 84
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
85.5%
Space Separator 37
 
11.7%
Decimal Number 8
 
2.5%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 31
11.4%
재 30
11.1%
활 30
11.1%
센 30
11.1%
터 30
11.1%
구 27
 
10.0%
서 6
 
2.2%
동 6
 
2.2%
관 6
 
2.2%
제 5
 
1.8%
Other values (43) 70
25.8%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 3
37.5%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
85.8%
Common 45
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 31
11.4%
재 30
11.0%
활 30
11.0%
센 30
11.0%
터 30
11.0%
구 27
 
9.9%
서 6
 
2.2%
동 6
 
2.2%
관 6
 
2.2%
제 5
 
1.8%
Other values (44) 71
26.1%
Common
ValueCountFrequency (%)
37
82.2%
1 4
 
8.9%
2 3
 
6.7%
3 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
85.5%
ASCII 45
 
14.2%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
82.2%
1 4
 
8.9%
2 3
 
6.7%
3 1
 
2.2%
Hangul
ValueCountFrequency (%)
용 31
11.4%
재 30
11.1%
활 30
11.1%
센 30
11.1%
터 30
11.1%
구 27
 
10.0%
서 6
 
2.2%
동 6
 
2.2%
관 6
 
2.2%
제 5
 
1.8%
Other values (43) 70
25.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

상세주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T23:04:39.454091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length17.8125
Min length14

Characters and Unicode

Total characters570
Distinct characters94
Distinct categories7 ?
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 (%)100.0%

Sample

1st row서울시 중구 다산로 174
2nd row서울시 용산구 한강대로 67길 22-20
3rd row서울시 성동구 천호대로78길 58
4th row서울시 광진구 자양로15길 60
5th row서울시 동대문구 사가정로 215
ValueCountFrequency (%)
서울시 32
24.6%
강서구 4
 
3.1%
동대문구 3
 
2.3%
강남구 2
 
1.5%
영등포구 2
 
1.5%
금천구 2
 
1.5%
강서로 2
 
1.5%
노원구 2
 
1.5%
양천구 2
 
1.5%
천호대로78길 1
 
0.8%
Other values (78) 78
60.0%
2024-04-21T23:04:40.489816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
17.5%
서 41
 
7.2%
시 34
 
6.0%
구 33
 
5.8%
로 33
 
5.8%
울 32
 
5.6%
1 26
 
4.6%
2 19
 
3.3%
3 16
 
2.8%
6 12
 
2.1%
Other values (84) 224
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
58.1%
Decimal Number 125
 
21.9%
Space Separator 100
 
17.5%
Dash Punctuation 7
 
1.2%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 41
 
12.4%
시 34
 
10.3%
구 33
 
10.0%
로 33
 
10.0%
울 32
 
9.7%
강 11
 
3.3%
대 11
 
3.3%
동 10
 
3.0%
길 9
 
2.7%
천 7
 
2.1%
Other values (69) 110
33.2%
Decimal Number
ValueCountFrequency (%)
1 26
20.8%
2 19
15.2%
3 16
12.8%
6 12
9.6%
4 12
9.6%
7 11
8.8%
8 8
 
6.4%
0 8
 
6.4%
5 7
 
5.6%
9 6
 
4.8%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
58.1%
Common 239
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 41
 
12.4%
시 34
 
10.3%
구 33
 
10.0%
로 33
 
10.0%
울 32
 
9.7%
강 11
 
3.3%
대 11
 
3.3%
동 10
 
3.0%
길 9
 
2.7%
천 7
 
2.1%
Other values (69) 110
33.2%
Common
ValueCountFrequency (%)
100
41.8%
1 26
 
10.9%
2 19
 
7.9%
3 16
 
6.7%
6 12
 
5.0%
4 12
 
5.0%
7 11
 
4.6%
8 8
 
3.3%
0 8
 
3.3%
- 7
 
2.9%
Other values (5) 20
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
58.1%
ASCII 239
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
41.8%
1 26
 
10.9%
2 19
 
7.9%
3 16
 
6.7%
6 12
 
5.0%
4 12
 
5.0%
7 11
 
4.6%
8 8
 
3.3%
0 8
 
3.3%
- 7
 
2.9%
Other values (5) 20
 
8.4%
Hangul
ValueCountFrequency (%)
서 41
 
12.4%
시 34
 
10.3%
구 33
 
10.0%
로 33
 
10.0%
울 32
 
9.7%
강 11
 
3.3%
대 11
 
3.3%
동 10
 
3.0%
길 9
 
2.7%
천 7
 
2.1%
Other values (69) 110
33.2%

연락처
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T23:04:41.166517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.375
Min length11

Characters and Unicode

Total characters364
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row02-2233-7289
2nd row02-794-8665
3rd row02-2204-7997
4th row02-497-7272
5th row02-2213-8272
ValueCountFrequency (%)
02-2233-7289 1
 
3.1%
02-794-8665 1
 
3.1%
02-431-6190 1
 
3.1%
02-579-6677 1
 
3.1%
02-501-7157 1
 
3.1%
02-571-7272 1
 
3.1%
02-886-9113 1
 
3.1%
02-836-7289 1
 
3.1%
02-2675-7289 1
 
3.1%
02-802-7282 1
 
3.1%
Other values (22) 22
68.8%
2024-04-21T23:04:42.057087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 95
26.1%
- 64
17.6%
0 44
12.1%
7 37
 
10.2%
8 29
 
8.0%
9 20
 
5.5%
6 20
 
5.5%
4 15
 
4.1%
3 14
 
3.8%
5 14
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
82.4%
Dash Punctuation 64
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
31.7%
0 44
14.7%
7 37
 
12.3%
8 29
 
9.7%
9 20
 
6.7%
6 20
 
6.7%
4 15
 
5.0%
3 14
 
4.7%
5 14
 
4.7%
1 12
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 95
26.1%
- 64
17.6%
0 44
12.1%
7 37
 
10.2%
8 29
 
8.0%
9 20
 
5.5%
6 20
 
5.5%
4 15
 
4.1%
3 14
 
3.8%
5 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 95
26.1%
- 64
17.6%
0 44
12.1%
7 37
 
10.2%
8 29
 
8.0%
9 20
 
5.5%
6 20
 
5.5%
4 15
 
4.1%
3 14
 
3.8%
5 14
 
3.8%

사이트URL
Text

MISSING 

Distinct20
Distinct (%)76.9%
Missing6
Missing (%)18.8%
Memory size384.0 B
2024-04-21T23:04:42.680296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length45
Mean length43.5
Min length22

Characters and Unicode

Total characters1131
Distinct characters49
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

Unique15 ?
Unique (%)57.7%

Sample

1st rowhttp://zungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
2nd rowhttp://www.dm8272.co.kr/
3rd rowhttp://www.dm8272.co.kr/
4th rowhttp://www.dm8272.co.kr/
5th rowhttp://www.jj7272.com/shop/main/index.php
ValueCountFrequency (%)
http://www.dm8272.co.kr 3
 
11.5%
http://www.rety.co.kr 2
 
7.7%
http://www.ycrc.co.kr 2
 
7.7%
http://www.gurogu.co.kr/main/main.php 2
 
7.7%
http://www.zungo.co.kr/main/main.php?cpc_referer=http%3a%2f%2ffleamarket.seoul.go.kr%2frcmarket%2findex.do 2
 
7.7%
http://www.jungo.co.kr/main/main.php?cpc_referer=http%3a%2f%2ffleamarket.seoul.go.kr%2frcmarket%2findex.do 1
 
3.8%
http://zungo.co.kr/main/main.php?cpc_referer=http%3a%2f%2ffleamarket.seoul.go.kr%2frcmarket%2findex.do 1
 
3.8%
http://www.jungo7282.co.kr 1
 
3.8%
http://www.kn4989.com/main/main.php 1
 
3.8%
http://www.서초구5717272.com/mall/index.php 1
 
3.8%
Other values (10) 10
38.5%
2024-04-21T23:04:43.522528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 101
 
8.9%
/ 95
 
8.4%
t 77
 
6.8%
w 69
 
6.1%
p 62
 
5.5%
o 55
 
4.9%
r 52
 
4.6%
h 50
 
4.4%
n 45
 
4.0%
c 41
 
3.6%
Other values (39) 484
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 744
65.8%
Other Punctuation 246
 
21.8%
Decimal Number 64
 
5.7%
Uppercase Letter 60
 
5.3%
Connector Punctuation 10
 
0.9%
Math Symbol 4
 
0.4%
Other Letter 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 77
 
10.3%
w 69
 
9.3%
p 62
 
8.3%
o 55
 
7.4%
r 52
 
7.0%
h 50
 
6.7%
n 45
 
6.0%
c 41
 
5.5%
e 40
 
5.4%
m 40
 
5.4%
Other values (15) 213
28.6%
Decimal Number
ValueCountFrequency (%)
2 31
48.4%
7 10
 
15.6%
1 8
 
12.5%
8 6
 
9.4%
3 4
 
6.2%
4 2
 
3.1%
9 2
 
3.1%
5 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
F 20
33.3%
R 12
20.0%
E 12
20.0%
C 8
 
13.3%
P 4
 
6.7%
A 4
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 101
41.1%
/ 95
38.6%
: 26
 
10.6%
% 20
 
8.1%
? 4
 
1.6%
Other Letter
ValueCountFrequency (%)
서 1
33.3%
초 1
33.3%
구 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 804
71.1%
Common 324
28.6%
Hangul 3
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 77
 
9.6%
w 69
 
8.6%
p 62
 
7.7%
o 55
 
6.8%
r 52
 
6.5%
h 50
 
6.2%
n 45
 
5.6%
c 41
 
5.1%
e 40
 
5.0%
m 40
 
5.0%
Other values (21) 273
34.0%
Common
ValueCountFrequency (%)
. 101
31.2%
/ 95
29.3%
2 31
 
9.6%
: 26
 
8.0%
% 20
 
6.2%
7 10
 
3.1%
_ 10
 
3.1%
1 8
 
2.5%
8 6
 
1.9%
3 4
 
1.2%
Other values (5) 13
 
4.0%
Hangul
ValueCountFrequency (%)
서 1
33.3%
초 1
33.3%
구 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1128
99.7%
Hangul 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 101
 
9.0%
/ 95
 
8.4%
t 77
 
6.8%
w 69
 
6.1%
p 62
 
5.5%
o 55
 
4.9%
r 52
 
4.6%
h 50
 
4.4%
n 45
 
4.0%
c 41
 
3.6%
Other values (36) 481
42.6%
Hangul
ValueCountFrequency (%)
서 1
33.3%
초 1
33.3%
구 1
33.3%

Interactions

2024-04-21T23:04:35.284490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T23:04:43.675010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역구분상호상세주소연락처사이트URL
연번1.0000.9481.0001.0001.0000.997
지역구분0.9481.0001.0001.0001.0000.952
상호1.0001.0001.0001.0001.0001.000
상세주소1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
사이트URL0.9970.9521.0001.0001.0001.000

Missing values

2024-04-21T23:04:35.514175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T23:04:35.697870image/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

연번지역구분상호상세주소연락처사이트URL
01서울시 중구중구 재활용센터서울시 중구 다산로 17402-2233-7289http://zungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
12서울시 용산구용산구 재활용센터서울시 용산구 한강대로 67길 22-2002-794-8665<NA>
23서울시 성동구성동구 재활용센터서울시 성동구 천호대로78길 5802-2204-7997<NA>
34서울시 광진구광진구 재활용센터서울시 광진구 자양로15길 6002-497-7272<NA>
45서울시 동대문구동대문구 제1재활용센터서울시 동대문구 사가정로 21502-2213-8272http://www.dm8272.co.kr/
56서울시 동대문구동대문구 제2재활용센터서울시 동대문구 시립대로 11002-2242-7282http://www.dm8272.co.kr/
67서울시 동대문구동대문구 제3재활용센터서울시 동대문구 답십리로 250-402-2243-7282http://www.dm8272.co.kr/
78서울시 중랑구중랑구 재활용센터서울시 중랑구 면목로 37702-435-7272http://www.jj7272.com/shop/main/index.php
89서울시 성북구성북구 재활용센터서울시 성북구 화랑로 14802-941-8272http://www.zungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
910서울시 강북구강북구 재활용센터서울시 강북구 한천로 1108-102-987-8272http://www.zungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
연번지역구분상호상세주소연락처사이트URL
2223서울시 금천구독산동 재활용센터서울시 금천구 독산로 30302-863-7282http://www.jungo7282.co.kr/
2324서울시 금천구금천구 재활용센터서울시 금천구 시흥대로 18202-802-7282<NA>
2425서울시 영등포구영등포구 재활용센터 1관서울시 영등포구 당산로3가 44702-2675-7289http://www.jgmarket.co.kr/shop/main/index.php
2526서울시 영등포구영등포구 재활용센터 2관서울시 영등포구 대방천로 20702-836-7289http://zungo.co.kr/d_sub_frame.php
2627서울시 관악구관악구 재활용센터 1관서울시 관악구 남부순환로 142702-886-9113http://www.jungo.co.kr/main/main.php?CPC_REFERER=http%3A%2F%2Ffleamarket.seoul.go.kr%2Frcmarket%2Findex.do
2728서울시 서초구서초구 재활용센터서울시 서초구 양재대로12길 73-1902-571-7272http://www.서초구5717272.com/mall/index.php
2829서울시 강남구리싸이클세상서울시 강남구 논현로 115길7(논현동 191-6)02-501-7157http://www.rety.co.kr/
2930서울시 강남구강남구 재활용센터서울시 강남구 개포로247(개포동 1259-6)02-579-6677http://www.kn4989.com/main/main.php
3031서울시 송파구송파구 재활용센터서울시 송파구 문정로 24602-431-6190http://cafe.naver.com/sssaemaul
3132서울시 강동구㈜리싸이클씨티서울시 강동구 동남로 93002-429-6114http://www.rety.co.kr/