Overview

Dataset statistics

Number of variables5
Number of observations1433
Missing cells2310
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.5 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text4

Dataset

Description부천시 관내의 담배소매인 지정현황으로 업소명, 업소 소재지 주소(지번,도로명), 업소전화번호 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3041173/fileData.do

Alerts

업소지번주소 has 1282 (89.5%) missing valuesMissing
업소전화번호 has 1028 (71.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:02:57.175524
Analysis finished2023-12-12 00:02:58.030257
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1433
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean717
Minimum1
Maximum1433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T09:02:58.098298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.6
Q1359
median717
Q31075
95-th percentile1361.4
Maximum1433
Range1432
Interquartile range (IQR)716

Descriptive statistics

Standard deviation413.81578
Coefficient of variation (CV)0.57714893
Kurtosis-1.2
Mean717
Median Absolute Deviation (MAD)358
Skewness0
Sum1027461
Variance171243.5
MonotonicityStrictly increasing
2023-12-12T09:02:58.240421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
942 1
 
0.1%
962 1
 
0.1%
961 1
 
0.1%
960 1
 
0.1%
959 1
 
0.1%
958 1
 
0.1%
957 1
 
0.1%
956 1
 
0.1%
955 1
 
0.1%
Other values (1423) 1423
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1433 1
0.1%
1432 1
0.1%
1431 1
0.1%
1430 1
0.1%
1429 1
0.1%
1428 1
0.1%
1427 1
0.1%
1426 1
0.1%
1425 1
0.1%
1424 1
0.1%

업소명
Text

Distinct1366
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T09:02:58.461083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.4752268
Min length2

Characters and Unicode

Total characters12145
Distinct characters499
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1330 ?
Unique (%)92.8%

Sample

1st row로드스토리
2nd row(주)비지에프리테일 심곡리브점
3rd row지에스25부천스타점
4th row이마트24 부천송내우성점
5th row이마트24 부천푸르지오점
ValueCountFrequency (%)
씨유 128
 
6.0%
이마트24 90
 
4.2%
gs25 74
 
3.5%
세븐일레븐 69
 
3.2%
지에스25 65
 
3.1%
주)코리아세븐 54
 
2.5%
미니스톱 15
 
0.7%
주식회사 12
 
0.6%
버스매표소 10
 
0.5%
지에스(gs)25 10
 
0.5%
Other values (1397) 1599
75.2%
2023-12-12T09:02:58.777525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 722
 
5.9%
694
 
5.7%
부 403
 
3.3%
천 385
 
3.2%
2 383
 
3.2%
마 372
 
3.1%
트 360
 
3.0%
스 291
 
2.4%
5 260
 
2.1%
이 226
 
1.9%
Other values (489) 8049
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9830
80.9%
Decimal Number 799
 
6.6%
Space Separator 694
 
5.7%
Uppercase Letter 469
 
3.9%
Open Punctuation 151
 
1.2%
Close Punctuation 151
 
1.2%
Lowercase Letter 37
 
0.3%
Other Punctuation 12
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 722
 
7.3%
부 403
 
4.1%
천 385
 
3.9%
마 372
 
3.8%
트 360
 
3.7%
스 291
 
3.0%
이 226
 
2.3%
븐 218
 
2.2%
동 216
 
2.2%
유 206
 
2.1%
Other values (431) 6431
65.4%
Uppercase Letter
ValueCountFrequency (%)
S 168
35.8%
G 154
32.8%
C 41
 
8.7%
U 32
 
6.8%
R 19
 
4.1%
E 8
 
1.7%
K 6
 
1.3%
D 6
 
1.3%
I 4
 
0.9%
O 4
 
0.9%
Other values (13) 27
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
13.5%
o 5
13.5%
l 3
 
8.1%
s 3
 
8.1%
c 3
 
8.1%
y 2
 
5.4%
i 2
 
5.4%
t 2
 
5.4%
a 2
 
5.4%
r 2
 
5.4%
Other values (8) 8
21.6%
Decimal Number
ValueCountFrequency (%)
2 383
47.9%
5 260
32.5%
4 120
 
15.0%
3 15
 
1.9%
1 10
 
1.3%
6 7
 
0.9%
9 2
 
0.3%
7 1
 
0.1%
8 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
& 4
33.3%
/ 1
 
8.3%
# 1
 
8.3%
Space Separator
ValueCountFrequency (%)
694
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9826
80.9%
Common 1809
 
14.9%
Latin 506
 
4.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 722
 
7.3%
부 403
 
4.1%
천 385
 
3.9%
마 372
 
3.8%
트 360
 
3.7%
스 291
 
3.0%
이 226
 
2.3%
븐 218
 
2.2%
동 216
 
2.2%
유 206
 
2.1%
Other values (427) 6427
65.4%
Latin
ValueCountFrequency (%)
S 168
33.2%
G 154
30.4%
C 41
 
8.1%
U 32
 
6.3%
R 19
 
3.8%
E 8
 
1.6%
K 6
 
1.2%
D 6
 
1.2%
e 5
 
1.0%
o 5
 
1.0%
Other values (31) 62
 
12.3%
Common
ValueCountFrequency (%)
694
38.4%
2 383
21.2%
5 260
 
14.4%
( 151
 
8.3%
) 151
 
8.3%
4 120
 
6.6%
3 15
 
0.8%
1 10
 
0.6%
6 7
 
0.4%
. 6
 
0.3%
Other values (7) 12
 
0.7%
Han
ValueCountFrequency (%)
中 1
25.0%
國 1
25.0%
食 1
25.0%
品 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9826
80.9%
ASCII 2315
 
19.1%
CJK 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 722
 
7.3%
부 403
 
4.1%
천 385
 
3.9%
마 372
 
3.8%
트 360
 
3.7%
스 291
 
3.0%
이 226
 
2.3%
븐 218
 
2.2%
동 216
 
2.2%
유 206
 
2.1%
Other values (427) 6427
65.4%
ASCII
ValueCountFrequency (%)
694
30.0%
2 383
16.5%
5 260
 
11.2%
S 168
 
7.3%
G 154
 
6.7%
( 151
 
6.5%
) 151
 
6.5%
4 120
 
5.2%
C 41
 
1.8%
U 32
 
1.4%
Other values (48) 161
 
7.0%
CJK
ValueCountFrequency (%)
中 1
25.0%
國 1
25.0%
食 1
25.0%
品 1
25.0%

업소지번주소
Text

MISSING 

Distinct141
Distinct (%)93.4%
Missing1282
Missing (%)89.5%
Memory size11.3 KiB
2023-12-12T09:02:59.085547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length21.556291
Min length1

Characters and Unicode

Total characters3255
Distinct characters121
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)90.7%

Sample

1st row경기도 부천시 심곡본동 687 성도빌딩
2nd row경기도 부천시 심곡본동 723-11 부광더리브
3rd row경기도 부천시 심곡본동 727-6 삼성하이츠빌
4th row경기도 부천시 송내동 335-27
5th row경기도 부천시 송내동 372 부천중동역푸르지오
ValueCountFrequency (%)
경기도 147
19.9%
부천시 138
18.7%
심곡본동 71
 
9.6%
송내동 62
 
8.4%
1호 11
 
1.5%
2호 9
 
1.2%
4호 9
 
1.2%
3호 7
 
0.9%
부천시심곡본동 6
 
0.8%
14호 5
 
0.7%
Other values (205) 272
36.9%
2023-12-12T09:02:59.551648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
596
18.3%
부 163
 
5.0%
천 162
 
5.0%
동 152
 
4.7%
도 149
 
4.6%
경 147
 
4.5%
시 147
 
4.5%
기 147
 
4.5%
지 110
 
3.4%
번 107
 
3.3%
Other values (111) 1375
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1999
61.4%
Decimal Number 627
 
19.3%
Space Separator 596
 
18.3%
Dash Punctuation 30
 
0.9%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 163
 
8.2%
천 162
 
8.1%
동 152
 
7.6%
도 149
 
7.5%
경 147
 
7.4%
시 147
 
7.4%
기 147
 
7.4%
지 110
 
5.5%
번 107
 
5.4%
호 93
 
4.7%
Other values (96) 622
31.1%
Decimal Number
ValueCountFrequency (%)
1 93
14.8%
6 86
13.7%
3 82
13.1%
5 71
11.3%
2 70
11.2%
7 53
8.5%
4 51
8.1%
0 49
7.8%
9 37
 
5.9%
8 35
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1999
61.4%
Common 1253
38.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 163
 
8.2%
천 162
 
8.1%
동 152
 
7.6%
도 149
 
7.5%
경 147
 
7.4%
시 147
 
7.4%
기 147
 
7.4%
지 110
 
5.5%
번 107
 
5.4%
호 93
 
4.7%
Other values (96) 622
31.1%
Common
ValueCountFrequency (%)
596
47.6%
1 93
 
7.4%
6 86
 
6.9%
3 82
 
6.5%
5 71
 
5.7%
2 70
 
5.6%
7 53
 
4.2%
4 51
 
4.1%
0 49
 
3.9%
9 37
 
3.0%
Other values (2) 65
 
5.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
e 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1999
61.4%
ASCII 1256
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
596
47.5%
1 93
 
7.4%
6 86
 
6.8%
3 82
 
6.5%
5 71
 
5.7%
2 70
 
5.6%
7 53
 
4.2%
4 51
 
4.1%
0 49
 
3.9%
9 37
 
2.9%
Other values (5) 68
 
5.4%
Hangul
ValueCountFrequency (%)
부 163
 
8.2%
천 162
 
8.1%
동 152
 
7.6%
도 149
 
7.5%
경 147
 
7.4%
시 147
 
7.4%
기 147
 
7.4%
지 110
 
5.5%
번 107
 
5.4%
호 93
 
4.7%
Other values (96) 622
31.1%

업소도로명주소
Text

Distinct1429
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T09:02:59.854626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length51
Mean length30.244243
Min length1

Characters and Unicode

Total characters43340
Distinct characters385
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1425 ?
Unique (%)99.4%

Sample

1st row경기도 부천시 성주로255번길 9. 성도빌딩 1층 (심곡본동)
2nd row경기도 부천시 성주로 234. 103. 104호 (심곡본동. 부광더리브)
3rd row경기도 부천시 하우로 293. 101호 (심곡본동. 삼성하이츠빌)
4th row경기도 부천시 경인로29번길 33. 1층 (송내동)
5th row경기도 부천시 중동로 64. 상가동 1층 112호 (송내동. 부천중동역푸르지오)
ValueCountFrequency (%)
경기도 1431
 
15.9%
부천시 1431
 
15.9%
1층 471
 
5.2%
중동 176
 
1.9%
상동 157
 
1.7%
101호 135
 
1.5%
심곡동 119
 
1.3%
소사본동 94
 
1.0%
원종동 83
 
0.9%
도당동 77
 
0.9%
Other values (1862) 4852
53.8%
2023-12-12T09:03:00.584284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7620
 
17.6%
1 2353
 
5.4%
부 1777
 
4.1%
동 1707
 
3.9%
천 1666
 
3.8%
도 1562
 
3.6%
경 1531
 
3.5%
시 1457
 
3.4%
로 1447
 
3.3%
( 1443
 
3.3%
Other values (375) 20777
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23280
53.7%
Decimal Number 7900
 
18.2%
Space Separator 7620
 
17.6%
Open Punctuation 1443
 
3.3%
Close Punctuation 1443
 
3.3%
Other Punctuation 1366
 
3.2%
Dash Punctuation 178
 
0.4%
Uppercase Letter 75
 
0.2%
Lowercase Letter 19
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1777
 
7.6%
동 1707
 
7.3%
천 1666
 
7.2%
도 1562
 
6.7%
경 1531
 
6.6%
시 1457
 
6.3%
로 1447
 
6.2%
기 1432
 
6.2%
길 811
 
3.5%
번 694
 
3.0%
Other values (324) 9196
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 29
38.7%
A 10
 
13.3%
I 5
 
6.7%
O 4
 
5.3%
T 3
 
4.0%
S 3
 
4.0%
L 3
 
4.0%
C 3
 
4.0%
G 2
 
2.7%
E 2
 
2.7%
Other values (10) 11
 
14.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
15.8%
o 3
15.8%
a 2
10.5%
b 2
10.5%
l 2
10.5%
n 1
 
5.3%
y 1
 
5.3%
p 1
 
5.3%
m 1
 
5.3%
c 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
1 2353
29.8%
2 948
12.0%
0 925
 
11.7%
3 739
 
9.4%
4 663
 
8.4%
5 511
 
6.5%
6 477
 
6.0%
7 453
 
5.7%
8 425
 
5.4%
9 406
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1365
99.9%
& 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
7620
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1443
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23280
53.7%
Common 19963
46.1%
Latin 97
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1777
 
7.6%
동 1707
 
7.3%
천 1666
 
7.2%
도 1562
 
6.7%
경 1531
 
6.6%
시 1457
 
6.3%
로 1447
 
6.2%
기 1432
 
6.2%
길 811
 
3.5%
번 694
 
3.0%
Other values (324) 9196
39.5%
Latin
ValueCountFrequency (%)
B 29
29.9%
A 10
 
10.3%
I 5
 
5.2%
O 4
 
4.1%
T 3
 
3.1%
S 3
 
3.1%
e 3
 
3.1%
o 3
 
3.1%
L 3
 
3.1%
C 3
 
3.1%
Other values (24) 31
32.0%
Common
ValueCountFrequency (%)
7620
38.2%
1 2353
 
11.8%
( 1443
 
7.2%
) 1443
 
7.2%
. 1365
 
6.8%
2 948
 
4.7%
0 925
 
4.6%
3 739
 
3.7%
4 663
 
3.3%
5 511
 
2.6%
Other values (7) 1953
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23280
53.7%
ASCII 20057
46.3%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7620
38.0%
1 2353
 
11.7%
( 1443
 
7.2%
) 1443
 
7.2%
. 1365
 
6.8%
2 948
 
4.7%
0 925
 
4.6%
3 739
 
3.7%
4 663
 
3.3%
5 511
 
2.5%
Other values (39) 2047
 
10.2%
Hangul
ValueCountFrequency (%)
부 1777
 
7.6%
동 1707
 
7.3%
천 1666
 
7.2%
도 1562
 
6.7%
경 1531
 
6.6%
시 1457
 
6.3%
로 1447
 
6.2%
기 1432
 
6.2%
길 811
 
3.5%
번 694
 
3.0%
Other values (324) 9196
39.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%

업소전화번호
Text

MISSING 

Distinct388
Distinct (%)95.8%
Missing1028
Missing (%)71.7%
Memory size11.3 KiB
2023-12-12T09:03:00.823042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.906173
Min length9

Characters and Unicode

Total characters4822
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

Unique381 ?
Unique (%)94.1%

Sample

1st row070-8807-4191
2nd row032-223-6477
3rd row02-1577-0711
4th row02-3284-8132
5th row032-663-2010
ValueCountFrequency (%)
1577-0711 10
 
2.5%
02-2636-1723 4
 
1.0%
032-673-5777 2
 
0.5%
032-650-8000 2
 
0.5%
032-678-5184 2
 
0.5%
02-2127-5826 2
 
0.5%
02-1577-0711 2
 
0.5%
032-614-4561 1
 
0.2%
032-654-2408 1
 
0.2%
032-613-8080 1
 
0.2%
Other values (378) 378
93.3%
2023-12-12T09:03:01.156290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 793
16.4%
3 699
14.5%
2 673
14.0%
0 611
12.7%
6 488
10.1%
1 342
7.1%
7 288
 
6.0%
4 276
 
5.7%
5 275
 
5.7%
8 208
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4029
83.6%
Dash Punctuation 793
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 699
17.3%
2 673
16.7%
0 611
15.2%
6 488
12.1%
1 342
8.5%
7 288
7.1%
4 276
 
6.9%
5 275
 
6.8%
8 208
 
5.2%
9 169
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 793
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4822
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 793
16.4%
3 699
14.5%
2 673
14.0%
0 611
12.7%
6 488
10.1%
1 342
7.1%
7 288
 
6.0%
4 276
 
5.7%
5 275
 
5.7%
8 208
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 793
16.4%
3 699
14.5%
2 673
14.0%
0 611
12.7%
6 488
10.1%
1 342
7.1%
7 288
 
6.0%
4 276
 
5.7%
5 275
 
5.7%
8 208
 
4.3%

Interactions

2023-12-12T09:02:57.705286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T09:02:57.815751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:02:57.903673image/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.
2023-12-12T09:02:57.983886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호업소명업소지번주소업소도로명주소업소전화번호
01로드스토리경기도 부천시 심곡본동 687 성도빌딩경기도 부천시 성주로255번길 9. 성도빌딩 1층 (심곡본동)<NA>
12(주)비지에프리테일 심곡리브점경기도 부천시 심곡본동 723-11 부광더리브경기도 부천시 성주로 234. 103. 104호 (심곡본동. 부광더리브)<NA>
23지에스25부천스타점경기도 부천시 심곡본동 727-6 삼성하이츠빌경기도 부천시 하우로 293. 101호 (심곡본동. 삼성하이츠빌)<NA>
34이마트24 부천송내우성점경기도 부천시 송내동 335-27경기도 부천시 경인로29번길 33. 1층 (송내동)070-8807-4191
45이마트24 부천푸르지오점경기도 부천시 송내동 372 부천중동역푸르지오경기도 부천시 중동로 64. 상가동 1층 112호 (송내동. 부천중동역푸르지오)032-223-6477
56지에스25 송내래미안점경기도 부천시 송내동 427-32 래미안부천어반비스타경기도 부천시 중동로 19. B110. 111호 (송내동. 래미안부천어반비스타)<NA>
67(주)코리아세븐 부천송내대로점경기도 부천시 송내동 355-8경기도 부천시 송내대로42번길 97. 1층 (송내동)<NA>
78지에스25 송내해피점경기도 부천시 송내동 590경기도 부천시 경인로138번길 41 (송내동)<NA>
89성원월드슈퍼경기도 부천시 송내동 347-1경기도 부천시 송내대로42번길 35. 101호 (송내동)<NA>
910이마트24 부천송내빌리지점경기도 부천시 송내동 701-7경기도 부천시 송내대로27번길 32. 늘푸른마트 1층 (송내동)<NA>
번호업소명업소지번주소업소도로명주소업소전화번호
14231424(주)코리아세븐 중동재원점<NA>경기도 부천시 석천로 181. 1층 102호 (중동)032-322-9197
14241425세븐일레븐중동현대점<NA>경기도 부천시 석천로183번길 35. 102호 (중동. 영플러스3차)<NA>
14251426포도할인마트<NA>경기도 부천시 소향로 124-1. 뉴서울상가 106호 (중동)032-322-1031
14261427씨유 중동계남점<NA>경기도 부천시 부흥로 256. 102호 (중동. 계남아카데미빌딩)032-111-1111
14271428세븐일레븐중동점<NA>경기도 부천시 길주로 243 (중동. 제일프라자)02-2127-5826
14281429미니슈퍼<NA>경기도 부천시 평천로 667-5. 1층 일부 (약대동)032-321-1528
14291430동남슈퍼<NA>경기도 부천시 석천로 107. 108호 (중동. 동남상가)032-323-5957
14301431(주)코리아세븐 부천테크노점<NA>경기도 부천시 송내대로 388. 1층 101호 (약대동)032-621-1636
14311432럭키슈퍼<NA>경기도 부천시 부흥로303번길 31. 106호 (중동. 한양상가)<NA>
14321433지에스25 중동덕유마을점<NA>경기도 부천시 도약로 144. 101호 (중동)<NA>