Overview

Dataset statistics

Number of variables5
Number of observations1258
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.5 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description인천광역시 부평구 소재 담배소매인 현황입니다.(연번,업소명,업소지번주소,업소도로명주소,지정일자,데이터기준일자)<br/>예) 1,씨유 동수향기점,인천광역시 부평구 부평동 756-138 동수지앤지,인천광역시 부평구 안남로11번길 6. 동수지앤지 1층 101호 (부평동),2021-03-12,2021-03-16<br/>
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15021283&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 01:24:38.042044
Analysis finished2024-03-18 01:24:38.967238
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean629.5
Minimum1
Maximum1258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2024-03-18T10:24:39.028832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.85
Q1315.25
median629.5
Q3943.75
95-th percentile1195.15
Maximum1258
Range1257
Interquartile range (IQR)628.5

Descriptive statistics

Standard deviation363.29763
Coefficient of variation (CV)0.57712093
Kurtosis-1.2
Mean629.5
Median Absolute Deviation (MAD)314.5
Skewness0
Sum791911
Variance131985.17
MonotonicityStrictly increasing
2024-03-18T10:24:39.144114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
837 1
 
0.1%
844 1
 
0.1%
843 1
 
0.1%
842 1
 
0.1%
841 1
 
0.1%
840 1
 
0.1%
839 1
 
0.1%
838 1
 
0.1%
836 1
 
0.1%
Other values (1248) 1248
99.2%
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 (%)
1258 1
0.1%
1257 1
0.1%
1256 1
0.1%
1255 1
0.1%
1254 1
0.1%
1253 1
0.1%
1252 1
0.1%
1251 1
0.1%
1250 1
0.1%
1249 1
0.1%

업소명
Text

Distinct1214
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2024-03-18T10:24:39.399975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length7.9809221
Min length1

Characters and Unicode

Total characters10040
Distinct characters510
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

Unique1184 ?
Unique (%)94.1%

Sample

1st row복권명당
2nd row코레일유통(주)부평지하맞이방종합매점
3rd row코레일유통(주)부평2층종합매점
4th row씨-스페이스 청천점
5th row카 프라우드
ValueCountFrequency (%)
씨유 114
 
6.4%
세븐일레븐 66
 
3.7%
이마트24 54
 
3.0%
지에스25 41
 
2.3%
주)코리아세븐 33
 
1.9%
지에스(gs)25 25
 
1.4%
gs25 18
 
1.0%
전자담배 13
 
0.7%
주식회사 11
 
0.6%
국군복지단 11
 
0.6%
Other values (1263) 1394
78.3%
2024-03-18T10:24:39.800805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
 
5.3%
점 513
 
5.1%
부 421
 
4.2%
평 323
 
3.2%
마 268
 
2.7%
트 251
 
2.5%
2 221
 
2.2%
스 202
 
2.0%
븐 199
 
2.0%
유 181
 
1.8%
Other values (500) 6933
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8445
84.1%
Space Separator 528
 
5.3%
Decimal Number 497
 
5.0%
Uppercase Letter 262
 
2.6%
Close Punctuation 124
 
1.2%
Open Punctuation 124
 
1.2%
Lowercase Letter 42
 
0.4%
Other Punctuation 16
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 513
 
6.1%
부 421
 
5.0%
평 323
 
3.8%
마 268
 
3.2%
트 251
 
3.0%
스 202
 
2.4%
븐 199
 
2.4%
유 181
 
2.1%
지 167
 
2.0%
퍼 160
 
1.9%
Other values (444) 5760
68.2%
Uppercase Letter
ValueCountFrequency (%)
S 80
30.5%
G 72
27.5%
C 17
 
6.5%
R 11
 
4.2%
K 9
 
3.4%
E 9
 
3.4%
U 8
 
3.1%
O 7
 
2.7%
D 6
 
2.3%
T 5
 
1.9%
Other values (13) 38
14.5%
Lowercase Letter
ValueCountFrequency (%)
e 12
28.6%
s 7
16.7%
a 4
 
9.5%
n 3
 
7.1%
t 3
 
7.1%
l 2
 
4.8%
i 2
 
4.8%
r 2
 
4.8%
y 1
 
2.4%
g 1
 
2.4%
Other values (5) 5
11.9%
Decimal Number
ValueCountFrequency (%)
2 221
44.5%
5 147
29.6%
4 67
 
13.5%
1 27
 
5.4%
7 9
 
1.8%
0 7
 
1.4%
3 7
 
1.4%
9 4
 
0.8%
6 4
 
0.8%
8 4
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 11
68.8%
& 3
 
18.8%
/ 1
 
6.2%
? 1
 
6.2%
Space Separator
ValueCountFrequency (%)
528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8445
84.1%
Common 1291
 
12.9%
Latin 304
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 513
 
6.1%
부 421
 
5.0%
평 323
 
3.8%
마 268
 
3.2%
트 251
 
3.0%
스 202
 
2.4%
븐 199
 
2.4%
유 181
 
2.1%
지 167
 
2.0%
퍼 160
 
1.9%
Other values (444) 5760
68.2%
Latin
ValueCountFrequency (%)
S 80
26.3%
G 72
23.7%
C 17
 
5.6%
e 12
 
3.9%
R 11
 
3.6%
K 9
 
3.0%
E 9
 
3.0%
U 8
 
2.6%
O 7
 
2.3%
s 7
 
2.3%
Other values (28) 72
23.7%
Common
ValueCountFrequency (%)
528
40.9%
2 221
17.1%
5 147
 
11.4%
) 124
 
9.6%
( 124
 
9.6%
4 67
 
5.2%
1 27
 
2.1%
. 11
 
0.9%
7 9
 
0.7%
0 7
 
0.5%
Other values (8) 26
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8445
84.1%
ASCII 1595
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
33.1%
2 221
13.9%
5 147
 
9.2%
) 124
 
7.8%
( 124
 
7.8%
S 80
 
5.0%
G 72
 
4.5%
4 67
 
4.2%
1 27
 
1.7%
C 17
 
1.1%
Other values (46) 188
 
11.8%
Hangul
ValueCountFrequency (%)
점 513
 
6.1%
부 421
 
5.0%
평 323
 
3.8%
마 268
 
3.2%
트 251
 
3.0%
스 202
 
2.4%
븐 199
 
2.4%
유 181
 
2.1%
지 167
 
2.0%
퍼 160
 
1.9%
Other values (444) 5760
68.2%

업소지번주소
Text

Distinct1229
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2024-03-18T10:24:40.086826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length25.066773
Min length1

Characters and Unicode

Total characters31534
Distinct characters303
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1215 ?
Unique (%)96.6%

Sample

1st row인천광역시 부평구 부평동 676-29
2nd row인천광역시 부평구 부평동 738-21 부평민자역사
3rd row인천광역시 부평구 부평동 738-21 부평민자역사
4th row인천광역시 부평구 청천동 174-19
5th row인천광역시 부평구 부개동 269-1
ValueCountFrequency (%)
인천광역시 1254
18.8%
부평구 1254
18.8%
부평동 393
 
5.9%
호 235
 
3.5%
십정동 158
 
2.4%
청천동 132
 
2.0%
부개동 126
 
1.9%
산곡동 114
 
1.7%
갈산동 78
 
1.2%
삼산동 74
 
1.1%
Other values (1420) 2851
42.8%
2024-03-18T10:24:40.480341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6470
20.5%
부 1911
 
6.1%
평 1750
 
5.5%
천 1409
 
4.5%
1 1297
 
4.1%
동 1283
 
4.1%
역 1283
 
4.1%
구 1278
 
4.1%
시 1267
 
4.0%
인 1262
 
4.0%
Other values (293) 12324
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18646
59.1%
Space Separator 6470
 
20.5%
Decimal Number 6001
 
19.0%
Dash Punctuation 294
 
0.9%
Uppercase Letter 44
 
0.1%
Other Punctuation 29
 
0.1%
Close Punctuation 22
 
0.1%
Open Punctuation 22
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1911
 
10.2%
평 1750
 
9.4%
천 1409
 
7.6%
동 1283
 
6.9%
역 1283
 
6.9%
구 1278
 
6.9%
시 1267
 
6.8%
인 1262
 
6.8%
광 1261
 
6.8%
호 961
 
5.2%
Other values (252) 4981
26.7%
Uppercase Letter
ValueCountFrequency (%)
A 9
20.5%
C 5
11.4%
B 4
9.1%
O 3
 
6.8%
I 3
 
6.8%
L 3
 
6.8%
T 3
 
6.8%
Y 2
 
4.5%
P 2
 
4.5%
S 2
 
4.5%
Other values (8) 8
18.2%
Decimal Number
ValueCountFrequency (%)
1 1297
21.6%
2 781
13.0%
4 664
11.1%
3 659
11.0%
5 481
 
8.0%
0 481
 
8.0%
7 477
 
7.9%
6 422
 
7.0%
8 372
 
6.2%
9 367
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
y 1
25.0%
t 1
25.0%
i 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 16
55.2%
@ 12
41.4%
· 1
 
3.4%
Space Separator
ValueCountFrequency (%)
6470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18646
59.1%
Common 12839
40.7%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1911
 
10.2%
평 1750
 
9.4%
천 1409
 
7.6%
동 1283
 
6.9%
역 1283
 
6.9%
구 1278
 
6.9%
시 1267
 
6.8%
인 1262
 
6.8%
광 1261
 
6.8%
호 961
 
5.2%
Other values (252) 4981
26.7%
Latin
ValueCountFrequency (%)
A 9
18.4%
C 5
 
10.2%
B 4
 
8.2%
O 3
 
6.1%
I 3
 
6.1%
L 3
 
6.1%
T 3
 
6.1%
Y 2
 
4.1%
P 2
 
4.1%
S 2
 
4.1%
Other values (13) 13
26.5%
Common
ValueCountFrequency (%)
6470
50.4%
1 1297
 
10.1%
2 781
 
6.1%
4 664
 
5.2%
3 659
 
5.1%
5 481
 
3.7%
0 481
 
3.7%
7 477
 
3.7%
6 422
 
3.3%
8 372
 
2.9%
Other values (8) 735
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18646
59.1%
ASCII 12886
40.9%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6470
50.2%
1 1297
 
10.1%
2 781
 
6.1%
4 664
 
5.2%
3 659
 
5.1%
5 481
 
3.7%
0 481
 
3.7%
7 477
 
3.7%
6 422
 
3.3%
8 372
 
2.9%
Other values (29) 782
 
6.1%
Hangul
ValueCountFrequency (%)
부 1911
 
10.2%
평 1750
 
9.4%
천 1409
 
7.6%
동 1283
 
6.9%
역 1283
 
6.9%
구 1278
 
6.9%
시 1267
 
6.8%
인 1262
 
6.8%
광 1261
 
6.8%
호 961
 
5.2%
Other values (252) 4981
26.7%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업소도로명주소
Text

Distinct1168
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2024-03-18T10:24:40.734751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length49
Mean length29.155008
Min length1

Characters and Unicode

Total characters36677
Distinct characters320
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1163 ?
Unique (%)92.4%

Sample

1st row인천광역시 부평구 동수로 11. 2층 202호 (부평동)
2nd row인천광역시 부평구 광장로 16. 부평민자역사 지하1층 (부평동)
3rd row인천광역시 부평구 광장로 16. 부평민자역사 (부평동)
4th row인천광역시 부평구 마장로 430. 1층 101호 (청천동)
5th row인천광역시 부평구 경인로1046번길 7. 1층 (부개동)
ValueCountFrequency (%)
인천광역시 1171
 
16.6%
부평구 1171
 
16.6%
부평동 387
 
5.5%
1층 310
 
4.4%
십정동 143
 
2.0%
청천동 128
 
1.8%
부개동 126
 
1.8%
산곡동 112
 
1.6%
삼산동 76
 
1.1%
101호 74
 
1.1%
Other values (1447) 3345
47.5%
2024-03-18T10:24:41.107942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6271
 
17.1%
부 2088
 
5.7%
평 1808
 
4.9%
1 1772
 
4.8%
천 1391
 
3.8%
동 1371
 
3.7%
인 1257
 
3.4%
역 1206
 
3.3%
광 1205
 
3.3%
시 1200
 
3.3%
Other values (310) 17108
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21056
57.4%
Space Separator 6271
 
17.1%
Decimal Number 5793
 
15.8%
Open Punctuation 1187
 
3.2%
Close Punctuation 1187
 
3.2%
Other Punctuation 954
 
2.6%
Dash Punctuation 153
 
0.4%
Uppercase Letter 61
 
0.2%
Math Symbol 9
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2088
 
9.9%
평 1808
 
8.6%
천 1391
 
6.6%
동 1371
 
6.5%
인 1257
 
6.0%
역 1206
 
5.7%
광 1205
 
5.7%
시 1200
 
5.7%
구 1185
 
5.6%
로 1179
 
5.6%
Other values (268) 7166
34.0%
Uppercase Letter
ValueCountFrequency (%)
B 22
36.1%
A 11
18.0%
C 4
 
6.6%
I 3
 
4.9%
O 3
 
4.9%
T 3
 
4.9%
Y 2
 
3.3%
L 2
 
3.3%
P 2
 
3.3%
S 1
 
1.6%
Other values (8) 8
 
13.1%
Decimal Number
ValueCountFrequency (%)
1 1772
30.6%
2 698
 
12.0%
0 648
 
11.2%
3 562
 
9.7%
4 508
 
8.8%
6 358
 
6.2%
5 357
 
6.2%
7 317
 
5.5%
9 297
 
5.1%
8 276
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
b 1
20.0%
y 1
20.0%
e 1
20.0%
t 1
20.0%
i 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 940
98.5%
@ 12
 
1.3%
· 2
 
0.2%
Space Separator
ValueCountFrequency (%)
6271
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21056
57.4%
Common 15554
42.4%
Latin 67
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2088
 
9.9%
평 1808
 
8.6%
천 1391
 
6.6%
동 1371
 
6.5%
인 1257
 
6.0%
역 1206
 
5.7%
광 1205
 
5.7%
시 1200
 
5.7%
구 1185
 
5.6%
로 1179
 
5.6%
Other values (268) 7166
34.0%
Latin
ValueCountFrequency (%)
B 22
32.8%
A 11
16.4%
C 4
 
6.0%
I 3
 
4.5%
O 3
 
4.5%
T 3
 
4.5%
Y 2
 
3.0%
L 2
 
3.0%
P 2
 
3.0%
b 1
 
1.5%
Other values (14) 14
20.9%
Common
ValueCountFrequency (%)
6271
40.3%
1 1772
 
11.4%
( 1187
 
7.6%
) 1187
 
7.6%
. 940
 
6.0%
2 698
 
4.5%
0 648
 
4.2%
3 562
 
3.6%
4 508
 
3.3%
6 358
 
2.3%
Other values (8) 1423
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21056
57.4%
ASCII 15618
42.6%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6271
40.2%
1 1772
 
11.3%
( 1187
 
7.6%
) 1187
 
7.6%
. 940
 
6.0%
2 698
 
4.5%
0 648
 
4.1%
3 562
 
3.6%
4 508
 
3.3%
6 358
 
2.3%
Other values (30) 1487
 
9.5%
Hangul
ValueCountFrequency (%)
부 2088
 
9.9%
평 1808
 
8.6%
천 1391
 
6.6%
동 1371
 
6.5%
인 1257
 
6.0%
역 1206
 
5.7%
광 1205
 
5.7%
시 1200
 
5.7%
구 1185
 
5.6%
로 1179
 
5.6%
Other values (268) 7166
34.0%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

지정일자
Date

Distinct896
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
Minimum1987-07-01 00:00:00
Maximum2023-02-23 00:00:00
2024-03-18T10:24:41.222272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:41.329834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-18T10:24:38.552686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T10:24:38.860534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:24:38.935282image/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

연번업소명업소지번주소업소도로명주소지정일자
01복권명당인천광역시 부평구 부평동 676-29인천광역시 부평구 동수로 11. 2층 202호 (부평동)2023-02-23
12코레일유통(주)부평지하맞이방종합매점인천광역시 부평구 부평동 738-21 부평민자역사인천광역시 부평구 광장로 16. 부평민자역사 지하1층 (부평동)2023-02-21
23코레일유통(주)부평2층종합매점인천광역시 부평구 부평동 738-21 부평민자역사인천광역시 부평구 광장로 16. 부평민자역사 (부평동)2023-02-21
34씨-스페이스 청천점인천광역시 부평구 청천동 174-19인천광역시 부평구 마장로 430. 1층 101호 (청천동)2023-02-21
45카 프라우드인천광역시 부평구 부개동 269-1인천광역시 부평구 경인로1046번길 7. 1층 (부개동)2023-02-20
56이웃친구인천광역시 부평구 청천동 72-40인천광역시 부평구 세월천로 139-1. 1층 (청천동)2023-02-20
67와플먹고 로또대박인천광역시 부평구 산곡동 263-22인천광역시 부평구 부흥로123번길 33. 1층 (산곡동)2023-02-20
78세븐일레븐 인천부평동아점인천광역시 부평구 부평동 70-5 부평동아아파트인천광역시 부평구 부평문화로 37. 에이동 102호 (부평동. 부평동아아파트)2023-02-15
89씨유부평이편한시티인천광역시 부평구 부평동 534-168인천광역시 부평구 경원대로1344번길 9. 1층 (부평동)2023-02-15
910주식회사 뉴송도마트인천광역시 부평구 산곡동 369-15인천광역시 부평구 마장로 178. 1층 (산곡동)2023-02-15
연번업소명업소지번주소업소도로명주소지정일자
12481249풍년호프인천광역시 부평구 십정동 186번지 62호1989-04-27
12491250대신전기인천광역시 부평구 부평동 465번지 33호인천광역시 부평구 부흥로259번길 12 (부평동)1989-04-27
12501251부성슈퍼인천광역시 부평구 부평동 204번지 24 호1989-04-27
12511252준수슈퍼인천광역시 부평구 부평동 179번지 14호인천광역시 부평구 경원대로 1438 (부평동)1989-04-27
12521253한양마을슈퍼인천광역시 부평구 산곡동 152호1989-04-27
12531254창영당인천광역시 부평구 십정동 300번지 14호인천광역시 부평구 배곶로 64-1 (십정동)1989-04-27
12541255현대슈퍼인천광역시 부평구 산곡동 370번지 199 호인천광역시 부평구 화랑로59번길 4 (산곡동)1989-04-27
12551256은광슈퍼인천광역시 부평구 부평동 756번지 7 호인천광역시 부평구 안남로12번길 16 (부평동)1989-04-27
12561257동진라사인천광역시 부평구 갈산동 62번지 2호인천광역시 부평구 주부토로262번길 35 (갈산동)1989-04-27
12571258여성의류인천광역시 부평구 청천1동 48번지 176호인천광역시 부평구 청중로 48 (청천동)1987-07-01