Overview

Dataset statistics

Number of variables5
Number of observations175
Missing cells131
Missing cells (%)15.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Text4

Dataset

Description부천시 일반협동조합 및 소비자생활협동조합 현황으로 항목명, 조합명, 소재지(도로명), 전화번호, 업종 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3079305/fileData.do

Alerts

전화번호 has 131 (74.9%) missing valuesMissing
연번 has unique valuesUnique
조합명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:15:00.964573
Analysis finished2023-12-12 09:15:01.971926
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88
Minimum1
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T18:15:02.389201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q144.5
median88
Q3131.5
95-th percentile166.3
Maximum175
Range174
Interquartile range (IQR)87

Descriptive statistics

Standard deviation50.662281
Coefficient of variation (CV)0.57570773
Kurtosis-1.2
Mean88
Median Absolute Deviation (MAD)44
Skewness0
Sum15400
Variance2566.6667
MonotonicityStrictly increasing
2023-12-12T18:15:02.588420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%

조합명
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T18:15:02.909656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length17
Mean length10.148571
Min length6

Characters and Unicode

Total characters1776
Distinct characters305
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

Unique175 ?
Unique (%)100.0%

Sample

1st row아로파약사협동조합
2nd row토탈기어탑팀협동조합
3rd row아이러브아이 강사 협동조합
4th row유통융합센터협동조합
5th row한국에코그린서비스협동조합
ValueCountFrequency (%)
협동조합 11
 
5.4%
소비자생활협동조합 5
 
2.4%
생활협동조합 2
 
1.0%
소사하루협동조합 1
 
0.5%
대한태양광발전협동조합 1
 
0.5%
협동조합국민체력심사평가원 1
 
0.5%
부천하나택시협동조합 1
 
0.5%
옛소리마당국악예술협동조합 1
 
0.5%
마을카페달토협동조합 1
 
0.5%
생활문화교육협동조합꿈품 1
 
0.5%
Other values (180) 180
87.8%
2023-12-12T18:15:03.434733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 178
 
10.0%
합 177
 
10.0%
조 177
 
10.0%
협 175
 
9.9%
부 33
 
1.9%
31
 
1.7%
천 30
 
1.7%
한 23
 
1.3%
이 22
 
1.2%
사 20
 
1.1%
Other values (295) 910
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1661
93.5%
Lowercase Letter 43
 
2.4%
Space Separator 31
 
1.7%
Uppercase Letter 20
 
1.1%
Decimal Number 7
 
0.4%
Close Punctuation 6
 
0.3%
Open Punctuation 5
 
0.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 178
 
10.7%
합 177
 
10.7%
조 177
 
10.7%
협 175
 
10.5%
부 33
 
2.0%
천 30
 
1.8%
한 23
 
1.4%
이 22
 
1.3%
사 20
 
1.2%
국 19
 
1.1%
Other values (260) 807
48.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
16.3%
t 6
14.0%
o 5
11.6%
c 4
9.3%
i 4
9.3%
r 3
7.0%
u 3
7.0%
a 2
 
4.7%
p 2
 
4.7%
h 2
 
4.7%
Other values (4) 5
11.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
15.0%
C 3
15.0%
K 2
10.0%
B 2
10.0%
Y 2
10.0%
M 2
10.0%
L 1
 
5.0%
J 1
 
5.0%
G 1
 
5.0%
R 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
0 2
28.6%
1 2
28.6%
3 1
14.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
" 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1661
93.5%
Latin 63
 
3.5%
Common 52
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 178
 
10.7%
합 177
 
10.7%
조 177
 
10.7%
협 175
 
10.5%
부 33
 
2.0%
천 30
 
1.8%
한 23
 
1.4%
이 22
 
1.3%
사 20
 
1.2%
국 19
 
1.1%
Other values (260) 807
48.6%
Latin
ValueCountFrequency (%)
e 7
 
11.1%
t 6
 
9.5%
o 5
 
7.9%
c 4
 
6.3%
i 4
 
6.3%
r 3
 
4.8%
u 3
 
4.8%
A 3
 
4.8%
C 3
 
4.8%
K 2
 
3.2%
Other values (16) 23
36.5%
Common
ValueCountFrequency (%)
31
59.6%
) 6
 
11.5%
( 5
 
9.6%
" 2
 
3.8%
6 2
 
3.8%
0 2
 
3.8%
1 2
 
3.8%
3 1
 
1.9%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1661
93.5%
ASCII 115
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 178
 
10.7%
합 177
 
10.7%
조 177
 
10.7%
협 175
 
10.5%
부 33
 
2.0%
천 30
 
1.8%
한 23
 
1.4%
이 22
 
1.3%
사 20
 
1.2%
국 19
 
1.1%
Other values (260) 807
48.6%
ASCII
ValueCountFrequency (%)
31
27.0%
e 7
 
6.1%
) 6
 
5.2%
t 6
 
5.2%
o 5
 
4.3%
( 5
 
4.3%
c 4
 
3.5%
i 4
 
3.5%
r 3
 
2.6%
u 3
 
2.6%
Other values (25) 41
35.7%

소재지
Text

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T18:15:03.830386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length29.12
Min length18

Characters and Unicode

Total characters5096
Distinct characters213
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)98.9%

Sample

1st row경기도 부천시 소사로 709 그린메디칼프라자 204호(원종동)
2nd row경기도 부천시 역곡로 448 2층(고강동)
3rd row경기도 부천시 성오로101번길 27 103동 202호(원종동 스타팰리스)
4th row경기도 부천시 부일로 326 2층 1호(중동)
5th row경기도 부천시 원미로 224(춘의동)
ValueCountFrequency (%)
경기도 175
 
18.6%
부천시 175
 
18.6%
길주로 10
 
1.1%
부흥로 8
 
0.9%
부천로 6
 
0.6%
1층 5
 
0.5%
원미로 5
 
0.5%
장말로 5
 
0.5%
38 4
 
0.4%
2층 4
 
0.4%
Other values (452) 543
57.8%
2023-12-12T18:15:04.463765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
886
 
17.4%
부 223
 
4.4%
동 206
 
4.0%
천 204
 
4.0%
경 191
 
3.7%
도 188
 
3.7%
시 178
 
3.5%
기 176
 
3.5%
로 176
 
3.5%
) 172
 
3.4%
Other values (203) 2496
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2869
56.3%
Decimal Number 959
 
18.8%
Space Separator 886
 
17.4%
Close Punctuation 172
 
3.4%
Open Punctuation 172
 
3.4%
Dash Punctuation 22
 
0.4%
Uppercase Letter 13
 
0.3%
Letter Number 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 223
 
7.8%
동 206
 
7.2%
천 204
 
7.1%
경 191
 
6.7%
도 188
 
6.6%
시 178
 
6.2%
기 176
 
6.1%
로 176
 
6.1%
길 97
 
3.4%
번 79
 
2.8%
Other values (179) 1151
40.1%
Decimal Number
ValueCountFrequency (%)
1 167
17.4%
2 166
17.3%
0 132
13.8%
3 121
12.6%
4 91
9.5%
7 64
 
6.7%
5 58
 
6.0%
8 58
 
6.0%
6 58
 
6.0%
9 44
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
M 2
15.4%
C 2
15.4%
Y 2
15.4%
R 1
 
7.7%
A 1
 
7.7%
H 1
 
7.7%
Space Separator
ValueCountFrequency (%)
886
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2869
56.3%
Common 2212
43.4%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 223
 
7.8%
동 206
 
7.2%
천 204
 
7.1%
경 191
 
6.7%
도 188
 
6.6%
시 178
 
6.2%
기 176
 
6.1%
로 176
 
6.1%
길 97
 
3.4%
번 79
 
2.8%
Other values (179) 1151
40.1%
Common
ValueCountFrequency (%)
886
40.1%
) 172
 
7.8%
( 172
 
7.8%
1 167
 
7.5%
2 166
 
7.5%
0 132
 
6.0%
3 121
 
5.5%
4 91
 
4.1%
7 64
 
2.9%
5 58
 
2.6%
Other values (5) 183
 
8.3%
Latin
ValueCountFrequency (%)
B 4
26.7%
M 2
13.3%
C 2
13.3%
Y 2
13.3%
R 1
 
6.7%
A 1
 
6.7%
Ⅰ 1
 
6.7%
H 1
 
6.7%
c 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2869
56.3%
ASCII 2226
43.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
886
39.8%
) 172
 
7.7%
( 172
 
7.7%
1 167
 
7.5%
2 166
 
7.5%
0 132
 
5.9%
3 121
 
5.4%
4 91
 
4.1%
7 64
 
2.9%
5 58
 
2.6%
Other values (13) 197
 
8.8%
Hangul
ValueCountFrequency (%)
부 223
 
7.8%
동 206
 
7.2%
천 204
 
7.1%
경 191
 
6.7%
도 188
 
6.6%
시 178
 
6.2%
기 176
 
6.1%
로 176
 
6.1%
길 97
 
3.4%
번 79
 
2.8%
Other values (179) 1151
40.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

전화번호
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing131
Missing (%)74.9%
Memory size1.5 KiB
2023-12-12T18:15:04.800925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022727
Min length12

Characters and Unicode

Total characters529
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

Unique44 ?
Unique (%)100.0%

Sample

1st row031-314-4642
2nd row032-661-9517
3rd row032-613-5240
4th row032-347-0479
5th row032-323-0442
ValueCountFrequency (%)
031-314-4642 1
 
2.3%
032-661-9517 1
 
2.3%
032-327-7799 1
 
2.3%
032-343-0592 1
 
2.3%
031-614-1511 1
 
2.3%
032-674-0910 1
 
2.3%
032-330-6267 1
 
2.3%
032-673-2933 1
 
2.3%
032-674-7474 1
 
2.3%
032-323-6100 1
 
2.3%
Other values (34) 34
77.3%
2023-12-12T18:15:05.268203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.6%
3 83
15.7%
2 76
14.4%
0 71
13.4%
6 46
8.7%
4 38
7.2%
7 38
7.2%
1 33
 
6.2%
9 26
 
4.9%
5 19
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
83.4%
Dash Punctuation 88
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 83
18.8%
2 76
17.2%
0 71
16.1%
6 46
10.4%
4 38
8.6%
7 38
8.6%
1 33
 
7.5%
9 26
 
5.9%
5 19
 
4.3%
8 11
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 529
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.6%
3 83
15.7%
2 76
14.4%
0 71
13.4%
6 46
8.7%
4 38
7.2%
7 38
7.2%
1 33
 
6.2%
9 26
 
4.9%
5 19
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.6%
3 83
15.7%
2 76
14.4%
0 71
13.4%
6 46
8.7%
4 38
7.2%
7 38
7.2%
1 33
 
6.2%
9 26
 
4.9%
5 19
 
3.6%

업종
Text

Distinct164
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T18:15:05.657938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length29
Mean length14.742857
Min length2

Characters and Unicode

Total characters2580
Distinct characters294
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

Unique160 ?
Unique (%)91.4%

Sample

1st row의약품 공동구매， 공동브랜드 개발과 판촉
2nd row가방 및 의류
3rd row강의，교육，인문학관련 각종컨텐츠사업등
4th row자재， 물품， 서비스의 공공구매사업
5th row자동차세차
ValueCountFrequency (%)
및 59
 
10.4%
판매 15
 
2.6%
등 10
 
1.8%
교육 8
 
1.4%
식자재 7
 
1.2%
공동구매 7
 
1.2%
의료 6
 
1.1%
유통 6
 
1.1%
판매， 5
 
0.9%
사업， 4
 
0.7%
Other values (381) 441
77.6%
2023-12-12T18:15:06.256922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
401
 
15.5%
， 114
 
4.4%
업 92
 
3.6%
사 74
 
2.9%
매 69
 
2.7%
및 68
 
2.6%
품 60
 
2.3%
공 53
 
2.1%
교 40
 
1.6%
동 38
 
1.5%
Other values (284) 1571
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2032
78.8%
Space Separator 401
 
15.5%
Other Punctuation 126
 
4.9%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%
Uppercase Letter 3
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 92
 
4.5%
사 74
 
3.6%
매 69
 
3.4%
및 68
 
3.3%
품 60
 
3.0%
공 53
 
2.6%
교 40
 
2.0%
동 38
 
1.9%
육 37
 
1.8%
판 37
 
1.8%
Other values (273) 1464
72.0%
Other Punctuation
ValueCountFrequency (%)
， 114
90.5%
· 9
 
7.1%
/ 2
 
1.6%
. 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2032
78.8%
Common 545
 
21.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 92
 
4.5%
사 74
 
3.6%
매 69
 
3.4%
및 68
 
3.3%
품 60
 
3.0%
공 53
 
2.6%
교 40
 
2.0%
동 38
 
1.9%
육 37
 
1.8%
판 37
 
1.8%
Other values (273) 1464
72.0%
Common
ValueCountFrequency (%)
401
73.6%
， 114
 
20.9%
· 9
 
1.7%
) 8
 
1.5%
( 8
 
1.5%
1 2
 
0.4%
/ 2
 
0.4%
. 1
 
0.2%
Latin
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2032
78.8%
ASCII 425
 
16.5%
None 123
 
4.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
401
94.4%
) 8
 
1.9%
( 8
 
1.9%
1 2
 
0.5%
/ 2
 
0.5%
G 1
 
0.2%
P 1
 
0.2%
L 1
 
0.2%
. 1
 
0.2%
None
ValueCountFrequency (%)
， 114
92.7%
· 9
 
7.3%
Hangul
ValueCountFrequency (%)
업 92
 
4.5%
사 74
 
3.6%
매 69
 
3.4%
및 68
 
3.3%
품 60
 
3.0%
공 53
 
2.6%
교 40
 
2.0%
동 38
 
1.9%
육 37
 
1.8%
판 37
 
1.8%
Other values (273) 1464
72.0%

Interactions

2023-12-12T18:15:01.559374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:15:06.410950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호
연번1.0001.000
전화번호1.0001.000

Missing values

2023-12-12T18:15:01.746923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:15:01.915207image/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

연번조합명소재지전화번호업종
01아로파약사협동조합경기도 부천시 소사로 709 그린메디칼프라자 204호(원종동)<NA>의약품 공동구매， 공동브랜드 개발과 판촉
12토탈기어탑팀협동조합경기도 부천시 역곡로 448 2층(고강동)031-314-4642가방 및 의류
23아이러브아이 강사 협동조합경기도 부천시 성오로101번길 27 103동 202호(원종동 스타팰리스)<NA>강의，교육，인문학관련 각종컨텐츠사업등
34유통융합센터협동조합경기도 부천시 부일로 326 2층 1호(중동)<NA>자재， 물품， 서비스의 공공구매사업
45한국에코그린서비스협동조합경기도 부천시 원미로 224(춘의동)<NA>자동차세차
56경기한두레협동조합경기도 부천시 부흥로 424 206호(심곡동 하나리아벨주상복합아파트)032-661-9517애경사물품
67부천시민야구협동조합경기도 부천시 옥산로 241(도당동)032-613-5240아침야구사업
78경기다문화협동조합경기도 부천시 장말로 107(상동 복사골문화센터 3층)032-347-0479커피숍등
89협동조합 아트펀드림경기도 부천시 길주로 1(상동 한국만화영상진흥원 224호)<NA>문화예술기획 및 교육
910협동조합공인중개사학원경기도 부천시 송내대로73번길 46(상동)<NA>공인중개사양성
연번조합명소재지전화번호업종
165166경기두레 소비자생활협동조합경기도 부천시 송내대로265번길43 크라운빌딩1층(상동)032-321-0277유통
166167사)부천아이쿱 소비자생활협동조합경기도 부천시 중동로248번길 86 402호(중동 탑프라자)032-652-7417유통
167168부천시민아이쿱 소비자생활협동조합경기도 부천시 중동로 301 은하주공1 529동 704호032-321-7230유통
168169부천YMCA 소비자생활협동조합경기도 부천시 석천로169번길 42(중동)부천YMCA회관1층<NA>유통
169170아름다운의료생활협동조합경기도 부천시 부천로 19 3층(심곡동 부천빌딩)032-614-3346의료
170171부천예가인의료 생활협동조합경기도 부천시 부천로 33-1(심곡동)032-666-7336의료
171172센스의료생활협동조합경기도 부천시 길주로80 7층(상동 로얄타워)032-328-0758의료
172173부천에스엠의료 소비자생활협동조합경기도 부천시 부흥로307번길23(중동 태정빌딩)032-611-7573의료
1731741636 의료소비자생활협동조합경기도 부천시 길주로 81 4층(상동 모건시티)<NA>의료
174175함께하는 의료 생활협동조합경기도 부천시 길주로131 비스테이호텔4층032-324-1771의료