Overview

Dataset statistics

Number of variables7
Number of observations113
Missing cells5
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory58.1 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description번호,자치구명칭,소재지,장터명,개장시간,문의처,등록일
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2477/S/1/datasetView.do

Alerts

번호 is highly overall correlated with 자치구명칭High correlation
자치구명칭 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
개장시간 is highly overall correlated with 자치구명칭High correlation
문의처 has 5 (4.4%) missing valuesMissing
번호 has unique valuesUnique
등록일 has unique valuesUnique

Reproduction

Analysis started2024-04-14 04:04:08.343750
Analysis finished2024-04-14 04:04:12.635676
Duration4.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.0885
Minimum21
Maximum1281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-14T13:04:12.859786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile121.6
Q1368
median701
Q3944
95-th percentile1224.4
Maximum1281
Range1260
Interquartile range (IQR)576

Descriptive statistics

Standard deviation359.0118
Coefficient of variation (CV)0.53258853
Kurtosis-1.2373766
Mean674.0885
Median Absolute Deviation (MAD)327
Skewness0.029403753
Sum76172
Variance128889.47
MonotonicityStrictly decreasing
2024-04-14T13:04:13.314326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1281 1
 
0.9%
367 1
 
0.9%
369 1
 
0.9%
370 1
 
0.9%
371 1
 
0.9%
372 1
 
0.9%
373 1
 
0.9%
374 1
 
0.9%
375 1
 
0.9%
376 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
21 1
0.9%
42 1
0.9%
61 1
0.9%
81 1
0.9%
102 1
0.9%
121 1
0.9%
122 1
0.9%
123 1
0.9%
141 1
0.9%
181 1
0.9%
ValueCountFrequency (%)
1281 1
0.9%
1261 1
0.9%
1241 1
0.9%
1227 1
0.9%
1226 1
0.9%
1225 1
0.9%
1224 1
0.9%
1223 1
0.9%
1222 1
0.9%
1221 1
0.9%

자치구명칭
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
강동구
18 
영등포구
18 
양천구
17 
금천구
16 
강서구
11 
Other values (7)
33 

Length

Max length4
Median length3
Mean length3.2123894
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row금천구
2nd row금천구
3rd row금천구
4th row양천구
5th row양천구

Common Values

ValueCountFrequency (%)
강동구 18
15.9%
영등포구 18
15.9%
양천구 17
15.0%
금천구 16
14.2%
강서구 11
9.7%
노원구 8
7.1%
송파구 6
 
5.3%
서대문구 5
 
4.4%
종로구 5
 
4.4%
강남구 5
 
4.4%
Other values (2) 4
 
3.5%

Length

2024-04-14T13:04:13.732366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강동구 18
15.9%
영등포구 18
15.9%
양천구 17
15.0%
금천구 16
14.2%
강서구 11
9.7%
노원구 8
7.1%
송파구 6
 
5.3%
서대문구 5
 
4.4%
종로구 5
 
4.4%
강남구 5
 
4.4%
Other values (2) 4
 
3.5%

소재지
Text

Distinct96
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-14T13:04:14.696513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length9.5221239
Min length2

Characters and Unicode

Total characters1076
Distinct characters160
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)76.1%

Sample

1st row독산3동 문성로38(독산3동893-1)
2nd row독산3동 독산로317
3rd row독산4동주민센터
4th row신정4동
5th row신정6동
ValueCountFrequency (%)
앞 8
 
3.7%
신정6동 7
 
3.2%
독산3동 5
 
2.3%
목동 4
 
1.8%
주민센터 4
 
1.8%
독산4동주민센터 4
 
1.8%
금천구 3
 
1.4%
상도3동 3
 
1.4%
독산로317 3
 
1.4%
목5동 3
 
1.4%
Other values (156) 173
79.7%
2024-04-14T13:04:16.091546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 109
 
10.1%
104
 
9.7%
1 47
 
4.4%
3 46
 
4.3%
2 32
 
3.0%
7 26
 
2.4%
산 24
 
2.2%
6 22
 
2.0%
4 20
 
1.9%
독 19
 
1.8%
Other values (150) 627
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
64.0%
Decimal Number 240
 
22.3%
Space Separator 104
 
9.7%
Dash Punctuation 18
 
1.7%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%
Uppercase Letter 5
 
0.5%
Other Punctuation 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 109
 
15.8%
산 24
 
3.5%
독 19
 
2.8%
주 17
 
2.5%
신 16
 
2.3%
터 16
 
2.3%
센 15
 
2.2%
로 13
 
1.9%
가 13
 
1.9%
파 13
 
1.9%
Other values (128) 434
63.0%
Decimal Number
ValueCountFrequency (%)
1 47
19.6%
3 46
19.2%
2 32
13.3%
7 26
10.8%
6 22
9.2%
4 20
8.3%
9 14
 
5.8%
5 13
 
5.4%
8 10
 
4.2%
0 10
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
M 1
20.0%
C 1
20.0%
Y 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 7
87.5%
] 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 7
87.5%
[ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
64.0%
Common 382
35.5%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 109
 
15.8%
산 24
 
3.5%
독 19
 
2.8%
주 17
 
2.5%
신 16
 
2.3%
터 16
 
2.3%
센 15
 
2.2%
로 13
 
1.9%
가 13
 
1.9%
파 13
 
1.9%
Other values (128) 434
63.0%
Common
ValueCountFrequency (%)
104
27.2%
1 47
12.3%
3 46
12.0%
2 32
 
8.4%
7 26
 
6.8%
6 22
 
5.8%
4 20
 
5.2%
- 18
 
4.7%
9 14
 
3.7%
5 13
 
3.4%
Other values (8) 40
 
10.5%
Latin
ValueCountFrequency (%)
A 2
40.0%
M 1
20.0%
C 1
20.0%
Y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
64.0%
ASCII 387
36.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 109
 
15.8%
산 24
 
3.5%
독 19
 
2.8%
주 17
 
2.5%
신 16
 
2.3%
터 16
 
2.3%
센 15
 
2.2%
로 13
 
1.9%
가 13
 
1.9%
파 13
 
1.9%
Other values (128) 434
63.0%
ASCII
ValueCountFrequency (%)
104
26.9%
1 47
12.1%
3 46
11.9%
2 32
 
8.3%
7 26
 
6.7%
6 22
 
5.7%
4 20
 
5.2%
- 18
 
4.7%
9 14
 
3.6%
5 13
 
3.4%
Other values (12) 45
11.6%

장터명
Text

Distinct109
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-14T13:04:16.981101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length15.185841
Min length4

Characters and Unicode

Total characters1716
Distinct characters211
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)93.8%

Sample

1st row2013년 11월 금천구 독산3동 새마을부녀회 녹색장터 개장
2nd row2013년 10월 금천구 독산3동 새마을부녀회 녹색장터
3rd row독산4동10월사랑나눔녹색장터 개최
4th row신정4동 새마을 녹색나눔장터
5th row민우회 녹색 나눔장터
ValueCountFrequency (%)
녹색장터 75
23.0%
새마을부녀회 22
 
6.7%
2013년 11
 
3.4%
독산3동 8
 
2.5%
벼룩시장 6
 
1.8%
금천구 5
 
1.5%
나눔 4
 
1.2%
나눔장터 4
 
1.2%
상도3동 3
 
0.9%
녹색 3
 
0.9%
Other values (154) 185
56.7%
2024-04-14T13:04:18.288683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
12.5%
장 119
 
6.9%
터 107
 
6.2%
녹 94
 
5.5%
색 93
 
5.4%
동 76
 
4.4%
회 38
 
2.2%
마 38
 
2.2%
을 37
 
2.2%
새 35
 
2.0%
Other values (201) 865
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1356
79.0%
Space Separator 214
 
12.5%
Decimal Number 129
 
7.5%
Other Punctuation 5
 
0.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 119
 
8.8%
터 107
 
7.9%
녹 94
 
6.9%
색 93
 
6.9%
동 76
 
5.6%
회 38
 
2.8%
마 38
 
2.8%
을 37
 
2.7%
새 35
 
2.6%
부 34
 
2.5%
Other values (179) 685
50.5%
Decimal Number
ValueCountFrequency (%)
3 30
23.3%
1 29
22.5%
2 26
20.2%
0 14
10.9%
4 10
 
7.8%
5 5
 
3.9%
8 5
 
3.9%
6 4
 
3.1%
9 4
 
3.1%
7 2
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
Y 1
25.0%
A 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
？ 2
40.0%
, 1
20.0%
Close Punctuation
ValueCountFrequency (%)
』 3
75.0%
」 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
『 3
75.0%
「 1
 
25.0%
Space Separator
ValueCountFrequency (%)
214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1356
79.0%
Common 356
 
20.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 119
 
8.8%
터 107
 
7.9%
녹 94
 
6.9%
색 93
 
6.9%
동 76
 
5.6%
회 38
 
2.8%
마 38
 
2.8%
을 37
 
2.7%
새 35
 
2.6%
부 34
 
2.5%
Other values (179) 685
50.5%
Common
ValueCountFrequency (%)
214
60.1%
3 30
 
8.4%
1 29
 
8.1%
2 26
 
7.3%
0 14
 
3.9%
4 10
 
2.8%
5 5
 
1.4%
8 5
 
1.4%
6 4
 
1.1%
9 4
 
1.1%
Other values (8) 15
 
4.2%
Latin
ValueCountFrequency (%)
M 1
25.0%
Y 1
25.0%
A 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1356
79.0%
ASCII 350
 
20.4%
None 10
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
61.1%
3 30
 
8.6%
1 29
 
8.3%
2 26
 
7.4%
0 14
 
4.0%
4 10
 
2.9%
5 5
 
1.4%
8 5
 
1.4%
6 4
 
1.1%
9 4
 
1.1%
Other values (7) 9
 
2.6%
Hangul
ValueCountFrequency (%)
장 119
 
8.8%
터 107
 
7.9%
녹 94
 
6.9%
색 93
 
6.9%
동 76
 
5.6%
회 38
 
2.8%
마 38
 
2.8%
을 37
 
2.7%
새 35
 
2.6%
부 34
 
2.5%
Other values (179) 685
50.5%
None
ValueCountFrequency (%)
』 3
30.0%
『 3
30.0%
？ 2
20.0%
」 1
 
10.0%
「 1
 
10.0%

개장시간
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
10:00~15:00
15 
11:00~15:00
11 
10:00~13:00
11 
10:00~16:00
9 
10:00~18:00
7 
Other values (27)
60 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique14 ?
Unique (%)12.4%

Sample

1st row10:00~15:00
2nd row10:00~15:00
3rd row10:00~16:00
4th row10:00~13:00
5th row10:00~13:00

Common Values

ValueCountFrequency (%)
10:00~15:00 15
13.3%
11:00~15:00 11
 
9.7%
10:00~13:00 11
 
9.7%
10:00~16:00 9
 
8.0%
10:00~18:00 7
 
6.2%
10:00~14:00 7
 
6.2%
13:00~16:00 6
 
5.3%
14:00~17:00 6
 
5.3%
11:00~16:00 5
 
4.4%
10:00~17:00 4
 
3.5%
Other values (22) 32
28.3%

Length

2024-04-14T13:04:18.690845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~15:00 15
13.3%
10:00~13:00 11
 
9.7%
11:00~15:00 11
 
9.7%
10:00~16:00 9
 
8.0%
10:00~18:00 7
 
6.2%
10:00~14:00 7
 
6.2%
13:00~16:00 6
 
5.3%
14:00~17:00 6
 
5.3%
11:00~16:00 5
 
4.4%
10:00~17:00 4
 
3.5%
Other values (22) 32
28.3%

문의처
Text

MISSING 

Distinct73
Distinct (%)67.6%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2024-04-14T13:04:19.606596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length43
Mean length15.212963
Min length4

Characters and Unicode

Total characters1643
Distinct characters114
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)58.3%

Sample

1st row2104-5302
2nd row2104-5302
3rd row02-2620-3436(청소행정과)
4th row02-2643-5016
5th row02-2062-1053(아이쿱생협)
ValueCountFrequency (%)
02 18
 
10.8%
02-2670-3486 16
 
9.6%
청소행정과 9
 
5.4%
2104-5302 8
 
4.8%
강남구 5
 
3.0%
재활용담당(02-3423-5986 5
 
3.0%
주민센터 4
 
2.4%
02-2148-2392 4
 
2.4%
02-6409-3302 3
 
1.8%
02-2620-3436(청소행정과 3
 
1.8%
Other values (80) 91
54.8%
2024-04-14T13:04:21.048657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 224
13.6%
0 167
 
10.2%
- 156
 
9.5%
3 109
 
6.6%
6 104
 
6.3%
4 102
 
6.2%
7 74
 
4.5%
68
 
4.1%
5 66
 
4.0%
8 54
 
3.3%
Other values (104) 519
31.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 977
59.5%
Other Letter 348
 
21.2%
Dash Punctuation 156
 
9.5%
Space Separator 68
 
4.1%
Close Punctuation 50
 
3.0%
Open Punctuation 31
 
1.9%
Other Punctuation 8
 
0.5%
Other Symbol 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 21
 
6.0%
과 18
 
5.2%
소 14
 
4.0%
동 14
 
4.0%
구 14
 
4.0%
행 13
 
3.7%
정 13
 
3.7%
터 9
 
2.6%
센 9
 
2.6%
민 8
 
2.3%
Other values (87) 215
61.8%
Decimal Number
ValueCountFrequency (%)
2 224
22.9%
0 167
17.1%
3 109
11.2%
6 104
10.6%
4 102
10.4%
7 74
 
7.6%
5 66
 
6.8%
8 54
 
5.5%
1 51
 
5.2%
9 26
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
: 3
37.5%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Symbol
ValueCountFrequency (%)
☎ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
78.8%
Hangul 348
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 21
 
6.0%
과 18
 
5.2%
소 14
 
4.0%
동 14
 
4.0%
구 14
 
4.0%
행 13
 
3.7%
정 13
 
3.7%
터 9
 
2.6%
센 9
 
2.6%
민 8
 
2.3%
Other values (87) 215
61.8%
Common
ValueCountFrequency (%)
2 224
17.3%
0 167
12.9%
- 156
12.0%
3 109
8.4%
6 104
8.0%
4 102
7.9%
7 74
 
5.7%
68
 
5.3%
5 66
 
5.1%
8 54
 
4.2%
Other values (7) 171
13.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
78.5%
Hangul 348
 
21.2%
Misc Symbols 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 224
17.4%
0 167
12.9%
- 156
12.1%
3 109
8.4%
6 104
8.1%
4 102
7.9%
7 74
 
5.7%
68
 
5.3%
5 66
 
5.1%
8 54
 
4.2%
Other values (6) 166
12.9%
Hangul
ValueCountFrequency (%)
청 21
 
6.0%
과 18
 
5.2%
소 14
 
4.0%
동 14
 
4.0%
구 14
 
4.0%
행 13
 
3.7%
정 13
 
3.7%
터 9
 
2.6%
센 9
 
2.6%
민 8
 
2.3%
Other values (87) 215
61.8%
Misc Symbols
ValueCountFrequency (%)
☎ 5
100.0%

등록일
Date

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2013-04-04 18:13:32
Maximum2013-11-04 13:00:44
2024-04-14T13:04:21.457102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:04:21.891291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-14T13:04:11.742471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T13:04:22.162304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자치구명칭소재지개장시간문의처
번호1.0000.8070.8550.7530.940
자치구명칭0.8071.0001.0000.9271.000
소재지0.8551.0001.0000.9950.979
개장시간0.7530.9270.9951.0000.984
문의처0.9401.0000.9790.9841.000
2024-04-14T13:04:22.419033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개장시간자치구명칭
개장시간1.0000.562
자치구명칭0.5621.000
2024-04-14T13:04:22.650439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자치구명칭개장시간
번호1.0000.5040.335
자치구명칭0.5041.0000.562
개장시간0.3350.5621.000

Missing values

2024-04-14T13:04:12.089125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T13:04:12.475621image/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

번호자치구명칭소재지장터명개장시간문의처등록일
01281금천구독산3동 문성로38(독산3동893-1)2013년 11월 금천구 독산3동 새마을부녀회 녹색장터 개장10:00~15:002104-53022013-11-04 13:00:44.0
11261금천구독산3동 독산로3172013년 10월 금천구 독산3동 새마을부녀회 녹색장터10:00~15:002104-53022013-10-14 17:29:04.0
21241금천구독산4동주민센터독산4동10월사랑나눔녹색장터 개최10:00~16:00<NA>2013-10-07 16:08:24.0
31227양천구신정4동신정4동 새마을 녹색나눔장터10:00~13:0002-2620-3436(청소행정과)2013-10-04 14:26:11.0
41226양천구신정6동민우회 녹색 나눔장터10:00~13:0002-2643-50162013-10-04 14:22:40.0
51225양천구목5동아이쿱 녹색장터13:00~16:0002-2062-1053(아이쿱생협)2013-10-04 14:20:03.0
61224양천구신정6동양천 알뜰가정 벼룩시장10:00~13:0002-2620-34372013-10-04 14:14:56.0
71223양천구목5동 한신청구아파트내한신청구 나눔 녹색장터11:00~15:0002-2620-3436(양천구청 청소행정과)2013-10-04 13:14:18.0
81222양천구신정1동 312번지목동9단지 돗자리장터10:00~13:0002-2620-3436(구청,청소행정과)2013-10-04 13:08:13.0
91221양천구신정6동 314목동8단지 녹색장터10:00~13:0002-2620-3436(양천구청 청소행정과)2013-10-04 13:05:10.0
번호자치구명칭소재지장터명개장시간문의처등록일
103181동대문구장안동현대홈타운A녹색장터10:00~11:00동대문구청 청소행정과 02) 2127- 43792013-04-16 10:29:23.0
104141동작구상도3동상도3동 녹색장터14:00~17:0002-6409-33022013-04-12 22:36:45.0
105123양천구목동 906 파리공원어린이용품 벼룩시장10:00~13:1002-2620-40262013-04-09 15:37:31.0
106122양천구신정6동 320 양천공원2013. 알뜰가정 녹색 벼룩시장 운영10:00~13:1002-2620-33852013-04-09 15:27:28.0
107121양천구목동 929번지목동 한신청구 나눔 녹색장터11:00~15:00<NA>2013-04-09 15:21:05.0
108102양천구목동 906 파리공원아이쿱 녹색나눔장터13:00~16:0002-2062-10532013-04-09 14:27:45.0
10981송파구석촌호수『잠실관광특구 1주년 페스티벌 석촌호수 벚꽃축제』11:00~18:00문화쳬육과 2147-28002013-04-08 16:43:58.0
11061금천구금천구 시흥대로 73길 70(구청광장앞)2013년 4월 금천 무지개 가족 벼룩시장13:00~17:002627- 1493, 2627-14382013-04-05 14:05:54.0
11142금천구독산로3172013년 4월 금천구 독산3동 새마을부녀회 녹색장터10:00~15:00독산3동 주민센터 2104-53022013-04-05 13:28:50.0
11221송파구송파구 재활용센터, 성내천(성내4교 하단)「송파 나눔장터 」로 오세요.09:00~18:00송파구청 클린도시과(☎2147-2865),새마을운동송파구지회(☎431-61902013-04-04 18:13:32.0