Overview

Dataset statistics

Number of variables6
Number of observations1087
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.1 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text3
DateTime1
Categorical1

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

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 01:24:46.650600
Analysis finished2024-03-18 01:24:47.317458
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1087
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544
Minimum1
Maximum1087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-03-18T10:24:47.374655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.3
Q1272.5
median544
Q3815.5
95-th percentile1032.7
Maximum1087
Range1086
Interquartile range (IQR)543

Descriptive statistics

Standard deviation313.93418
Coefficient of variation (CV)0.57708488
Kurtosis-1.2
Mean544
Median Absolute Deviation (MAD)272
Skewness0
Sum591328
Variance98554.667
MonotonicityStrictly increasing
2024-03-18T10:24:47.681667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
724 1
 
0.1%
730 1
 
0.1%
729 1
 
0.1%
728 1
 
0.1%
727 1
 
0.1%
726 1
 
0.1%
725 1
 
0.1%
723 1
 
0.1%
2 1
 
0.1%
Other values (1077) 1077
99.1%
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 (%)
1087 1
0.1%
1086 1
0.1%
1085 1
0.1%
1084 1
0.1%
1083 1
0.1%
1082 1
0.1%
1081 1
0.1%
1080 1
0.1%
1079 1
0.1%
1078 1
0.1%

업소명
Text

Distinct1055
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-03-18T10:24:47.907565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length8.3643054
Min length1

Characters and Unicode

Total characters9092
Distinct characters481
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

Unique1036 ?
Unique (%)95.3%

Sample

1st row지에스25 굴포빌리지
2nd row지에스25 일신풍림
3rd row전자담배
4th row씨유 청천하우스디점
5th row전자담배
ValueCountFrequency (%)
씨유 111
 
7.0%
세븐일레븐 67
 
4.2%
이마트24 51
 
3.2%
지에스25 46
 
2.9%
주)코리아세븐 32
 
2.0%
지에스(gs)25 30
 
1.9%
전자담배 17
 
1.1%
주식회사 16
 
1.0%
gs25 14
 
0.9%
국군복지단 11
 
0.7%
Other values (1101) 1195
75.2%
2024-03-18T10:24:48.300801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505
 
5.6%
점 457
 
5.0%
부 383
 
4.2%
평 297
 
3.3%
마 229
 
2.5%
2 220
 
2.4%
트 212
 
2.3%
븐 193
 
2.1%
스 189
 
2.1%
지 173
 
1.9%
Other values (471) 6234
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7551
83.1%
Space Separator 505
 
5.6%
Decimal Number 486
 
5.3%
Uppercase Letter 262
 
2.9%
Close Punctuation 121
 
1.3%
Open Punctuation 121
 
1.3%
Lowercase Letter 31
 
0.3%
Other Punctuation 12
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 457
 
6.1%
부 383
 
5.1%
평 297
 
3.9%
마 229
 
3.0%
트 212
 
2.8%
븐 193
 
2.6%
스 189
 
2.5%
지 173
 
2.3%
유 166
 
2.2%
에 144
 
1.9%
Other values (417) 5108
67.6%
Uppercase Letter
ValueCountFrequency (%)
S 82
31.3%
G 69
26.3%
E 13
 
5.0%
R 13
 
5.0%
C 11
 
4.2%
K 11
 
4.2%
H 9
 
3.4%
T 7
 
2.7%
O 6
 
2.3%
U 6
 
2.3%
Other values (12) 35
13.4%
Lowercase Letter
ValueCountFrequency (%)
e 11
35.5%
s 5
16.1%
r 2
 
6.5%
l 2
 
6.5%
n 2
 
6.5%
i 1
 
3.2%
g 1
 
3.2%
y 1
 
3.2%
f 1
 
3.2%
o 1
 
3.2%
Other values (4) 4
 
12.9%
Decimal Number
ValueCountFrequency (%)
2 220
45.3%
5 149
30.7%
4 64
 
13.2%
1 23
 
4.7%
7 9
 
1.9%
9 5
 
1.0%
0 4
 
0.8%
3 4
 
0.8%
6 4
 
0.8%
8 4
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 7
58.3%
& 3
25.0%
? 1
 
8.3%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7551
83.1%
Common 1248
 
13.7%
Latin 293
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 457
 
6.1%
부 383
 
5.1%
평 297
 
3.9%
마 229
 
3.0%
트 212
 
2.8%
븐 193
 
2.6%
스 189
 
2.5%
지 173
 
2.3%
유 166
 
2.2%
에 144
 
1.9%
Other values (417) 5108
67.6%
Latin
ValueCountFrequency (%)
S 82
28.0%
G 69
23.5%
E 13
 
4.4%
R 13
 
4.4%
e 11
 
3.8%
C 11
 
3.8%
K 11
 
3.8%
H 9
 
3.1%
T 7
 
2.4%
O 6
 
2.0%
Other values (26) 61
20.8%
Common
ValueCountFrequency (%)
505
40.5%
2 220
17.6%
5 149
 
11.9%
) 121
 
9.7%
( 121
 
9.7%
4 64
 
5.1%
1 23
 
1.8%
7 9
 
0.7%
. 7
 
0.6%
9 5
 
0.4%
Other values (8) 24
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7551
83.1%
ASCII 1541
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
505
32.8%
2 220
14.3%
5 149
 
9.7%
) 121
 
7.9%
( 121
 
7.9%
S 82
 
5.3%
G 69
 
4.5%
4 64
 
4.2%
1 23
 
1.5%
E 13
 
0.8%
Other values (44) 174
 
11.3%
Hangul
ValueCountFrequency (%)
점 457
 
6.1%
부 383
 
5.1%
평 297
 
3.9%
마 229
 
3.0%
트 212
 
2.8%
븐 193
 
2.6%
스 189
 
2.5%
지 173
 
2.3%
유 166
 
2.2%
에 144
 
1.9%
Other values (417) 5108
67.6%

업소지번주소
Text

Distinct1057
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-03-18T10:24:48.599555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length24.551978
Min length14

Characters and Unicode

Total characters26688
Distinct characters302
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1042 ?
Unique (%)95.9%

Sample

1st row인천광역시 부평구 갈산동 397-4
2nd row인천광역시 부평구 일신동 409 풍림아파트
3rd row인천광역시 부평구 청천동 36-3 e편한세상부평그랑힐스
4th row인천광역시 부평구 청천동 190-208
5th row인천광역시 부평구 부평동 671-20 카이저캐슬
ValueCountFrequency (%)
인천광역시 1087
19.7%
부평구 1087
19.7%
부평동 356
 
6.5%
십정동 143
 
2.6%
청천동 123
 
2.2%
부개동 104
 
1.9%
산곡동 99
 
1.8%
갈산동 72
 
1.3%
삼산동 66
 
1.2%
1호 55
 
1.0%
Other values (1326) 2312
42.0%
2024-03-18T10:24:49.002723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4997
18.7%
부 1677
 
6.3%
평 1541
 
5.8%
천 1227
 
4.6%
동 1124
 
4.2%
역 1115
 
4.2%
구 1111
 
4.2%
시 1100
 
4.1%
인 1096
 
4.1%
광 1094
 
4.1%
Other values (292) 10606
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16130
60.4%
Decimal Number 5097
 
19.1%
Space Separator 4997
 
18.7%
Dash Punctuation 359
 
1.3%
Uppercase Letter 39
 
0.1%
Other Punctuation 24
 
0.1%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Lowercase Letter 13
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1677
 
10.4%
평 1541
 
9.6%
천 1227
 
7.6%
동 1124
 
7.0%
역 1115
 
6.9%
구 1111
 
6.9%
시 1100
 
6.8%
인 1096
 
6.8%
광 1094
 
6.8%
호 699
 
4.3%
Other values (251) 4346
26.9%
Uppercase Letter
ValueCountFrequency (%)
A 8
20.5%
I 4
10.3%
C 3
 
7.7%
S 3
 
7.7%
O 2
 
5.1%
Y 2
 
5.1%
T 2
 
5.1%
E 2
 
5.1%
B 2
 
5.1%
K 2
 
5.1%
Other values (9) 9
23.1%
Decimal Number
ValueCountFrequency (%)
1 1061
20.8%
2 644
12.6%
3 577
11.3%
4 566
11.1%
5 427
8.4%
7 411
 
8.1%
0 405
 
7.9%
6 383
 
7.5%
9 313
 
6.1%
8 310
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 10
76.9%
y 1
 
7.7%
t 1
 
7.7%
i 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 13
54.2%
@ 10
41.7%
· 1
 
4.2%
Space Separator
ValueCountFrequency (%)
4997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 359
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16130
60.4%
Common 10505
39.4%
Latin 53
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1677
 
10.4%
평 1541
 
9.6%
천 1227
 
7.6%
동 1124
 
7.0%
역 1115
 
6.9%
구 1111
 
6.9%
시 1100
 
6.8%
인 1096
 
6.8%
광 1094
 
6.8%
호 699
 
4.3%
Other values (251) 4346
26.9%
Latin
ValueCountFrequency (%)
e 10
18.9%
A 8
15.1%
I 4
 
7.5%
C 3
 
5.7%
S 3
 
5.7%
O 2
 
3.8%
Y 2
 
3.8%
T 2
 
3.8%
E 2
 
3.8%
B 2
 
3.8%
Other values (14) 15
28.3%
Common
ValueCountFrequency (%)
4997
47.6%
1 1061
 
10.1%
2 644
 
6.1%
3 577
 
5.5%
4 566
 
5.4%
5 427
 
4.1%
7 411
 
3.9%
0 405
 
3.9%
6 383
 
3.6%
- 359
 
3.4%
Other values (7) 675
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16130
60.4%
ASCII 10556
39.6%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4997
47.3%
1 1061
 
10.1%
2 644
 
6.1%
3 577
 
5.5%
4 566
 
5.4%
5 427
 
4.0%
7 411
 
3.9%
0 405
 
3.8%
6 383
 
3.6%
- 359
 
3.4%
Other values (29) 726
 
6.9%
Hangul
ValueCountFrequency (%)
부 1677
 
10.4%
평 1541
 
9.6%
천 1227
 
7.6%
동 1124
 
7.0%
역 1115
 
6.9%
구 1111
 
6.9%
시 1100
 
6.8%
인 1096
 
6.8%
광 1094
 
6.8%
호 699
 
4.3%
Other values (251) 4346
26.9%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업소도로명주소
Text

Distinct1020
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-03-18T10:24:49.246169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length50
Mean length30.25207
Min length1

Characters and Unicode

Total characters32884
Distinct characters319
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

Unique1016 ?
Unique (%)93.5%

Sample

1st row인천광역시 부평구 장제로249번길 27, 1층 (갈산동)
2nd row인천광역시 부평구 일신로14번길 23, 상가동 111,112호 (일신동, 풍림아파트)
3rd row인천광역시 부평구 산청로 97, 1동 112호 (청천동, e편한세상부평그랑힐스)
4th row인천광역시 부평구 세월천로25번길 32, 1층 (청천동)
5th row인천광역시 부평구 경인로890번길 54, 카이저캐슬 101호 (부평동)
ValueCountFrequency (%)
인천광역시 1022
 
16.2%
부평구 1022
 
16.2%
부평동 344
 
5.4%
1층 313
 
4.9%
십정동 129
 
2.0%
청천동 117
 
1.8%
부개동 106
 
1.7%
산곡동 95
 
1.5%
101호 76
 
1.2%
삼산동 68
 
1.1%
Other values (1348) 3036
48.0%
2024-03-18T10:24:49.617185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5598
 
17.0%
부 1849
 
5.6%
1 1666
 
5.1%
평 1601
 
4.9%
동 1219
 
3.7%
천 1218
 
3.7%
인 1096
 
3.3%
역 1054
 
3.2%
광 1052
 
3.2%
시 1050
 
3.2%
Other values (309) 15481
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18837
57.3%
Space Separator 5598
 
17.0%
Decimal Number 5256
 
16.0%
Close Punctuation 1032
 
3.1%
Open Punctuation 1032
 
3.1%
Other Punctuation 920
 
2.8%
Dash Punctuation 129
 
0.4%
Uppercase Letter 58
 
0.2%
Lowercase Letter 13
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1849
 
9.8%
평 1601
 
8.5%
동 1219
 
6.5%
천 1218
 
6.5%
인 1096
 
5.8%
역 1054
 
5.6%
광 1052
 
5.6%
시 1050
 
5.6%
구 1033
 
5.5%
로 1031
 
5.5%
Other values (267) 6634
35.2%
Uppercase Letter
ValueCountFrequency (%)
B 19
32.8%
A 12
20.7%
I 4
 
6.9%
Y 2
 
3.4%
T 2
 
3.4%
C 2
 
3.4%
S 2
 
3.4%
K 2
 
3.4%
E 2
 
3.4%
O 2
 
3.4%
Other values (9) 9
15.5%
Decimal Number
ValueCountFrequency (%)
1 1666
31.7%
2 637
 
12.1%
0 613
 
11.7%
3 490
 
9.3%
4 444
 
8.4%
5 317
 
6.0%
6 304
 
5.8%
7 287
 
5.5%
9 260
 
4.9%
8 238
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 10
76.9%
i 1
 
7.7%
t 1
 
7.7%
y 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 908
98.7%
@ 10
 
1.1%
· 2
 
0.2%
Space Separator
ValueCountFrequency (%)
5598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1032
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1032
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18837
57.3%
Common 13975
42.5%
Latin 72
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1849
 
9.8%
평 1601
 
8.5%
동 1219
 
6.5%
천 1218
 
6.5%
인 1096
 
5.8%
역 1054
 
5.6%
광 1052
 
5.6%
시 1050
 
5.6%
구 1033
 
5.5%
로 1031
 
5.5%
Other values (267) 6634
35.2%
Latin
ValueCountFrequency (%)
B 19
26.4%
A 12
16.7%
e 10
13.9%
I 4
 
5.6%
Y 2
 
2.8%
T 2
 
2.8%
C 2
 
2.8%
S 2
 
2.8%
K 2
 
2.8%
E 2
 
2.8%
Other values (14) 15
20.8%
Common
ValueCountFrequency (%)
5598
40.1%
1 1666
 
11.9%
) 1032
 
7.4%
( 1032
 
7.4%
, 908
 
6.5%
2 637
 
4.6%
0 613
 
4.4%
3 490
 
3.5%
4 444
 
3.2%
5 317
 
2.3%
Other values (8) 1238
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18837
57.3%
ASCII 14044
42.7%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5598
39.9%
1 1666
 
11.9%
) 1032
 
7.3%
( 1032
 
7.3%
, 908
 
6.5%
2 637
 
4.5%
0 613
 
4.4%
3 490
 
3.5%
4 444
 
3.2%
5 317
 
2.3%
Other values (30) 1307
 
9.3%
Hangul
ValueCountFrequency (%)
부 1849
 
9.8%
평 1601
 
8.5%
동 1219
 
6.5%
천 1218
 
6.5%
인 1096
 
5.8%
역 1054
 
5.6%
광 1052
 
5.6%
시 1050
 
5.6%
구 1033
 
5.5%
로 1031
 
5.5%
Other values (267) 6634
35.2%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

지정일자
Date

Distinct800
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum1989-04-27 00:00:00
Maximum2024-02-29 00:00:00
2024-03-18T10:24:49.725745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:24:49.822894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-02-29
1087 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-29
2nd row2024-02-29
3rd row2024-02-29
4th row2024-02-29
5th row2024-02-29

Common Values

ValueCountFrequency (%)
2024-02-29 1087
100.0%

Length

2024-03-18T10:24:49.920425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:24:49.988157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-29 1087
100.0%

Interactions

2024-03-18T10:24:47.113223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T10:24:47.206140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:24:47.285782image/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

연번업소명업소지번주소업소도로명주소지정일자데이터기준일자
01지에스25 굴포빌리지인천광역시 부평구 갈산동 397-4인천광역시 부평구 장제로249번길 27, 1층 (갈산동)2024-02-292024-02-29
12지에스25 일신풍림인천광역시 부평구 일신동 409 풍림아파트인천광역시 부평구 일신로14번길 23, 상가동 111,112호 (일신동, 풍림아파트)2024-02-292024-02-29
23전자담배인천광역시 부평구 청천동 36-3 e편한세상부평그랑힐스인천광역시 부평구 산청로 97, 1동 112호 (청천동, e편한세상부평그랑힐스)2024-02-272024-02-29
34씨유 청천하우스디점인천광역시 부평구 청천동 190-208인천광역시 부평구 세월천로25번길 32, 1층 (청천동)2024-02-232024-02-29
45전자담배인천광역시 부평구 부평동 671-20 카이저캐슬인천광역시 부평구 경인로890번길 54, 카이저캐슬 101호 (부평동)2024-02-212024-02-29
56전자담배인천광역시 부평구 청천동 36-3 e편한세상부평그랑힐스인천광역시 부평구 산청로 97, 3동 302호 (청천동, e편한세상부평그랑힐스)2024-02-202024-02-29
67씨유 산곡향기점인천광역시 부평구 산곡동 251-1 신일빌딩인천광역시 부평구 마장로 250, 신일빌딩 1층 (산곡동)2024-02-152024-02-29
78지에스25산곡다람쥐점인천광역시 부평구 산곡동 274-5 경남아파트인천광역시 부평구 안남로206번길 18, 상가동 1층 102,103호 (산곡동, 경남아파트)2024-02-152024-02-29
89지에스(GS)25 그랑힐스중앙인천광역시 부평구 청천동 36-3 e편한세상부평그랑힐스인천광역시 부평구 산청로 97, 5동 502,503호 (청천동, e편한세상부평그랑힐스)2024-02-152024-02-29
910씨유 부평그랑힐스인천광역시 부평구 청천동 36-3 e편한세상부평그랑힐스인천광역시 부평구 산청로 97, 단지 내 상가6동 601, 602호 (청천동, e편한세상부평그랑힐스)2024-02-152024-02-29
연번업소명업소지번주소업소도로명주소지정일자데이터기준일자
10771078금강하이퍼마켓인천광역시 부평구 부평동 480번지 12호인천광역시 부평구 충선로24번길 19 (부평동)1989-04-272024-02-29
10781079목화살상회인천광역시 부평구 십정동 33번지 32호1989-04-272024-02-29
10791080풍년호프인천광역시 부평구 십정동 186번지 62호1989-04-272024-02-29
10801081대신전기인천광역시 부평구 부평동 465번지 33호인천광역시 부평구 부흥로259번길 12 (부평동)1989-04-272024-02-29
10811082부성슈퍼인천광역시 부평구 부평동 204번지 24호1989-04-272024-02-29
10821083한양마을슈퍼인천광역시 부평구 산곡동 152호1989-04-272024-02-29
10831084창영당인천광역시 부평구 십정동 300번지 14호인천광역시 부평구 배곶로 64-1 (십정동)1989-04-272024-02-29
10841085현대슈퍼인천광역시 부평구 산곡동 370번지 199호인천광역시 부평구 화랑로59번길 4 (산곡동)1989-04-272024-02-29
10851086은광슈퍼인천광역시 부평구 부평동 756번지 7호인천광역시 부평구 안남로12번길 16 (부평동)1989-04-272024-02-29
10861087동진라사인천광역시 부평구 갈산동 62번지 2호인천광역시 부평구 주부토로262번길 35 (갈산동)1989-04-272024-02-29