Overview

Dataset statistics

Number of variables5
Number of observations1511
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.6 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 서구에 위치한 담배소매업 현황(업소명, 소재지(도로명, 지번),데이터기준일자)을 포함한 테이터 파일입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3044209&srcSe=7661IVAWM27C61E190

Alerts

데이터 기준일자 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:06:05.079928
Analysis finished2024-03-18 04:06:05.813609
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean756
Minimum1
Maximum1511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-18T13:06:05.875620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.5
Q1378.5
median756
Q31133.5
95-th percentile1435.5
Maximum1511
Range1510
Interquartile range (IQR)755

Descriptive statistics

Standard deviation436.33244
Coefficient of variation (CV)0.57715931
Kurtosis-1.2
Mean756
Median Absolute Deviation (MAD)378
Skewness0
Sum1142316
Variance190386
MonotonicityStrictly increasing
2024-03-18T13:06:06.010750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1005 1
 
0.1%
1014 1
 
0.1%
1013 1
 
0.1%
1012 1
 
0.1%
1011 1
 
0.1%
1010 1
 
0.1%
1009 1
 
0.1%
1008 1
 
0.1%
1007 1
 
0.1%
Other values (1501) 1501
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 (%)
1511 1
0.1%
1510 1
0.1%
1509 1
0.1%
1508 1
0.1%
1507 1
0.1%
1506 1
0.1%
1505 1
0.1%
1504 1
0.1%
1503 1
0.1%
1502 1
0.1%

업소명
Text

Distinct1384
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-03-18T13:06:06.208318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length8.2409001
Min length2

Characters and Unicode

Total characters12452
Distinct characters538
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1354 ?
Unique (%)89.6%

Sample

1st row로그인 청라점
2nd row지에스(GS)심곡광명점
3rd row이마트24R청라티아모점
4th row씨유 루원SK리더스점
5th row씨유 검단SK점
ValueCountFrequency (%)
씨유 161
 
7.3%
담배가게 84
 
3.8%
세븐일레븐 77
 
3.5%
이마트24 64
 
2.9%
지에스25 59
 
2.7%
지에스(gs)25 43
 
1.9%
주)코리아세븐 38
 
1.7%
전자담배 33
 
1.5%
주식회사 21
 
0.9%
gs25 18
 
0.8%
Other values (1457) 1613
73.0%
2024-03-18T13:06:06.512432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
 
5.6%
점 649
 
5.2%
마 296
 
2.4%
트 285
 
2.3%
2 279
 
2.2%
스 264
 
2.1%
유 240
 
1.9%
가 230
 
1.8%
븐 219
 
1.8%
인 211
 
1.7%
Other values (528) 9078
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10362
83.2%
Space Separator 701
 
5.6%
Decimal Number 607
 
4.9%
Uppercase Letter 370
 
3.0%
Close Punctuation 182
 
1.5%
Open Punctuation 182
 
1.5%
Lowercase Letter 35
 
0.3%
Other Punctuation 7
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 649
 
6.3%
마 296
 
2.9%
트 285
 
2.8%
스 264
 
2.5%
유 240
 
2.3%
가 230
 
2.2%
븐 219
 
2.1%
인 211
 
2.0%
씨 199
 
1.9%
지 197
 
1.9%
Other values (471) 7572
73.1%
Uppercase Letter
ValueCountFrequency (%)
S 115
31.1%
G 105
28.4%
C 20
 
5.4%
R 15
 
4.1%
K 13
 
3.5%
A 11
 
3.0%
U 10
 
2.7%
P 9
 
2.4%
E 8
 
2.2%
O 7
 
1.9%
Other values (13) 57
15.4%
Lowercase Letter
ValueCountFrequency (%)
o 5
14.3%
e 5
14.3%
t 4
11.4%
a 3
8.6%
i 3
8.6%
l 3
8.6%
r 2
 
5.7%
m 2
 
5.7%
k 1
 
2.9%
d 1
 
2.9%
Other values (6) 6
17.1%
Decimal Number
ValueCountFrequency (%)
2 279
46.0%
5 190
31.3%
4 89
 
14.7%
1 17
 
2.8%
3 10
 
1.6%
0 8
 
1.3%
7 4
 
0.7%
8 4
 
0.7%
9 4
 
0.7%
6 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
？ 1
 
14.3%
/ 1
 
14.3%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
701
100.0%
Close Punctuation
ValueCountFrequency (%)
) 182
100.0%
Open Punctuation
ValueCountFrequency (%)
( 182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10362
83.2%
Common 1685
 
13.5%
Latin 405
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 649
 
6.3%
마 296
 
2.9%
트 285
 
2.8%
스 264
 
2.5%
유 240
 
2.3%
가 230
 
2.2%
븐 219
 
2.1%
인 211
 
2.0%
씨 199
 
1.9%
지 197
 
1.9%
Other values (471) 7572
73.1%
Latin
ValueCountFrequency (%)
S 115
28.4%
G 105
25.9%
C 20
 
4.9%
R 15
 
3.7%
K 13
 
3.2%
A 11
 
2.7%
U 10
 
2.5%
P 9
 
2.2%
E 8
 
2.0%
O 7
 
1.7%
Other values (29) 92
22.7%
Common
ValueCountFrequency (%)
701
41.6%
2 279
 
16.6%
5 190
 
11.3%
) 182
 
10.8%
( 182
 
10.8%
4 89
 
5.3%
1 17
 
1.0%
3 10
 
0.6%
0 8
 
0.5%
- 6
 
0.4%
Other values (8) 21
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10362
83.2%
ASCII 2089
 
16.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
33.6%
2 279
 
13.4%
5 190
 
9.1%
) 182
 
8.7%
( 182
 
8.7%
S 115
 
5.5%
G 105
 
5.0%
4 89
 
4.3%
C 20
 
1.0%
1 17
 
0.8%
Other values (46) 209
 
10.0%
Hangul
ValueCountFrequency (%)
점 649
 
6.3%
마 296
 
2.9%
트 285
 
2.8%
스 264
 
2.5%
유 240
 
2.3%
가 230
 
2.2%
븐 219
 
2.1%
인 211
 
2.0%
씨 199
 
1.9%
지 197
 
1.9%
Other values (471) 7572
73.1%
None
ValueCountFrequency (%)
？ 1
100.0%

업소지번주소
Text

Distinct1468
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-03-18T13:06:06.809973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length25.154864
Min length14

Characters and Unicode

Total characters38009
Distinct characters368
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

Unique1436 ?
Unique (%)95.0%

Sample

1st row인천광역시 서구 청라동 134-6
2nd row인천광역시 서구 심곡동 335-7 다보빌딩
3rd row인천광역시 서구 청라동 202-3
4th row인천광역시 서구 가정동 0 루원시티2차 SK Leaders' VIEW
5th row인천광역시 서구 당하동 1067-1 검단 SK VIEW
ValueCountFrequency (%)
인천광역시 1511
 
18.3%
서구 1511
 
18.3%
가좌동 261
 
3.2%
석남동 208
 
2.5%
호 163
 
2.0%
1호 135
 
1.6%
청라동 112
 
1.4%
가정동 109
 
1.3%
마전동 99
 
1.2%
1층 92
 
1.1%
Other values (1860) 4074
49.2%
2024-03-18T13:06:07.246000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7646
20.1%
1 1830
 
4.8%
동 1625
 
4.3%
서 1586
 
4.2%
시 1559
 
4.1%
인 1543
 
4.1%
천 1532
 
4.0%
구 1522
 
4.0%
역 1521
 
4.0%
광 1520
 
4.0%
Other values (358) 16125
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22000
57.9%
Space Separator 7646
 
20.1%
Decimal Number 7607
 
20.0%
Dash Punctuation 423
 
1.1%
Uppercase Letter 160
 
0.4%
Other Punctuation 68
 
0.2%
Lowercase Letter 60
 
0.2%
Open Punctuation 21
 
0.1%
Close Punctuation 21
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1625
 
7.4%
서 1586
 
7.2%
시 1559
 
7.1%
인 1543
 
7.0%
천 1532
 
7.0%
구 1522
 
6.9%
역 1521
 
6.9%
광 1520
 
6.9%
호 1233
 
5.6%
지 1027
 
4.7%
Other values (314) 7332
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 31
19.4%
L 18
11.2%
K 18
11.2%
S 17
10.6%
E 12
 
7.5%
W 11
 
6.9%
I 11
 
6.9%
V 11
 
6.9%
A 9
 
5.6%
C 6
 
3.8%
Other values (8) 16
10.0%
Decimal Number
ValueCountFrequency (%)
1 1830
24.1%
2 910
12.0%
0 790
10.4%
3 743
9.8%
5 695
 
9.1%
6 614
 
8.1%
4 589
 
7.7%
7 511
 
6.7%
8 472
 
6.2%
9 453
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 23
38.3%
d 9
 
15.0%
a 9
 
15.0%
r 9
 
15.0%
s 9
 
15.0%
f 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 57
83.8%
' 9
 
13.2%
/ 1
 
1.5%
@ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
7646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22000
57.9%
Common 15787
41.5%
Latin 222
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1625
 
7.4%
서 1586
 
7.2%
시 1559
 
7.1%
인 1543
 
7.0%
천 1532
 
7.0%
구 1522
 
6.9%
역 1521
 
6.9%
광 1520
 
6.9%
호 1233
 
5.6%
지 1027
 
4.7%
Other values (314) 7332
33.3%
Latin
ValueCountFrequency (%)
B 31
14.0%
e 23
 
10.4%
L 18
 
8.1%
K 18
 
8.1%
S 17
 
7.7%
E 12
 
5.4%
W 11
 
5.0%
I 11
 
5.0%
V 11
 
5.0%
d 9
 
4.1%
Other values (15) 61
27.5%
Common
ValueCountFrequency (%)
7646
48.4%
1 1830
 
11.6%
2 910
 
5.8%
0 790
 
5.0%
3 743
 
4.7%
5 695
 
4.4%
6 614
 
3.9%
4 589
 
3.7%
7 511
 
3.2%
8 472
 
3.0%
Other values (9) 987
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22000
57.9%
ASCII 16007
42.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7646
47.8%
1 1830
 
11.4%
2 910
 
5.7%
0 790
 
4.9%
3 743
 
4.6%
5 695
 
4.3%
6 614
 
3.8%
4 589
 
3.7%
7 511
 
3.2%
8 472
 
2.9%
Other values (33) 1207
 
7.5%
Hangul
ValueCountFrequency (%)
동 1625
 
7.4%
서 1586
 
7.2%
시 1559
 
7.1%
인 1543
 
7.0%
천 1532
 
7.0%
구 1522
 
6.9%
역 1521
 
6.9%
광 1520
 
6.9%
호 1233
 
5.6%
지 1027
 
4.7%
Other values (314) 7332
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

업소도로명주소
Text

Distinct1406
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2024-03-18T13:06:07.509353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length31.080079
Min length1

Characters and Unicode

Total characters46962
Distinct characters401
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

Unique1392 ?
Unique (%)92.1%

Sample

1st row인천광역시 서구 담지로86번길 13. 1층 101호 (청라동)
2nd row인천광역시 서구 승학로235번길 16. 다보빌딩 101호 (심곡동)
3rd row인천광역시 서구 중봉대로 490. 1층 124호 (청라동)
4th row인천광역시 서구 봉오대로 270. 301동 108호. 109호 (가정동. 루원시티2차 SK Leaders' VIEW)
5th row인천광역시 서구 독정로 17. 115동 101호.102호.103호 (당하동. 검단 SK VIEW)
ValueCountFrequency (%)
인천광역시 1418
 
15.4%
서구 1418
 
15.4%
1층 408
 
4.4%
가좌동 250
 
2.7%
석남동 207
 
2.2%
101호 114
 
1.2%
청라동 112
 
1.2%
가정동 90
 
1.0%
마전동 83
 
0.9%
상가동 71
 
0.8%
Other values (1897) 5051
54.8%
2024-03-18T13:06:07.931590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8104
 
17.3%
1 2564
 
5.5%
동 1704
 
3.6%
서 1583
 
3.4%
로 1477
 
3.1%
시 1476
 
3.1%
인 1452
 
3.1%
천 1447
 
3.1%
( 1446
 
3.1%
) 1446
 
3.1%
Other values (391) 24263
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25957
55.3%
Decimal Number 8146
 
17.3%
Space Separator 8104
 
17.3%
Open Punctuation 1446
 
3.1%
Close Punctuation 1446
 
3.1%
Other Punctuation 1398
 
3.0%
Uppercase Letter 200
 
0.4%
Dash Punctuation 196
 
0.4%
Lowercase Letter 60
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1704
 
6.6%
서 1583
 
6.1%
로 1477
 
5.7%
시 1476
 
5.7%
인 1452
 
5.6%
천 1447
 
5.6%
구 1429
 
5.5%
역 1428
 
5.5%
광 1427
 
5.5%
길 735
 
2.8%
Other values (347) 11799
45.5%
Uppercase Letter
ValueCountFrequency (%)
B 55
27.5%
S 20
 
10.0%
K 19
 
9.5%
A 16
 
8.0%
I 13
 
6.5%
E 13
 
6.5%
W 12
 
6.0%
V 12
 
6.0%
L 10
 
5.0%
C 10
 
5.0%
Other values (9) 20
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 2564
31.5%
0 1024
 
12.6%
2 994
 
12.2%
3 765
 
9.4%
4 584
 
7.2%
5 521
 
6.4%
6 465
 
5.7%
7 433
 
5.3%
8 419
 
5.1%
9 377
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 23
38.3%
a 9
 
15.0%
r 9
 
15.0%
d 9
 
15.0%
s 9
 
15.0%
b 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 1388
99.3%
' 9
 
0.6%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1446
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25957
55.3%
Common 20743
44.2%
Latin 262
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1704
 
6.6%
서 1583
 
6.1%
로 1477
 
5.7%
시 1476
 
5.7%
인 1452
 
5.6%
천 1447
 
5.6%
구 1429
 
5.5%
역 1428
 
5.5%
광 1427
 
5.5%
길 735
 
2.8%
Other values (347) 11799
45.5%
Latin
ValueCountFrequency (%)
B 55
21.0%
e 23
 
8.8%
S 20
 
7.6%
K 19
 
7.3%
A 16
 
6.1%
I 13
 
5.0%
E 13
 
5.0%
W 12
 
4.6%
V 12
 
4.6%
L 10
 
3.8%
Other values (16) 69
26.3%
Common
ValueCountFrequency (%)
8104
39.1%
1 2564
 
12.4%
( 1446
 
7.0%
) 1446
 
7.0%
. 1388
 
6.7%
0 1024
 
4.9%
2 994
 
4.8%
3 765
 
3.7%
4 584
 
2.8%
5 521
 
2.5%
Other values (8) 1907
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25957
55.3%
ASCII 21003
44.7%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8104
38.6%
1 2564
 
12.2%
( 1446
 
6.9%
) 1446
 
6.9%
. 1388
 
6.6%
0 1024
 
4.9%
2 994
 
4.7%
3 765
 
3.6%
4 584
 
2.8%
5 521
 
2.5%
Other values (33) 2167
 
10.3%
Hangul
ValueCountFrequency (%)
동 1704
 
6.6%
서 1583
 
6.1%
로 1477
 
5.7%
시 1476
 
5.7%
인 1452
 
5.6%
천 1447
 
5.6%
구 1429
 
5.5%
역 1428
 
5.5%
광 1427
 
5.5%
길 735
 
2.8%
Other values (347) 11799
45.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-07-31
1511 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 1511
100.0%

Length

2024-03-18T13:06:08.045190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:06:08.141944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 1511
100.0%

Interactions

2024-03-18T13:06:05.598984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T13:06:05.698512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:06:05.778247image/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

번호업소명업소지번주소업소도로명주소데이터 기준일자
01로그인 청라점인천광역시 서구 청라동 134-6인천광역시 서구 담지로86번길 13. 1층 101호 (청라동)2023-07-31
12지에스(GS)심곡광명점인천광역시 서구 심곡동 335-7 다보빌딩인천광역시 서구 승학로235번길 16. 다보빌딩 101호 (심곡동)2023-07-31
23이마트24R청라티아모점인천광역시 서구 청라동 202-3인천광역시 서구 중봉대로 490. 1층 124호 (청라동)2023-07-31
34씨유 루원SK리더스점인천광역시 서구 가정동 0 루원시티2차 SK Leaders' VIEW인천광역시 서구 봉오대로 270. 301동 108호. 109호 (가정동. 루원시티2차 SK Leaders' VIEW)2023-07-31
45씨유 검단SK점인천광역시 서구 당하동 1067-1 검단 SK VIEW인천광역시 서구 독정로 17. 115동 101호.102호.103호 (당하동. 검단 SK VIEW)2023-07-31
56든든한한끼인천광역시 서구 가좌동 273-21 (주)하이웰인천광역시 서구 원적로7번길 21 (주)하이웰 1층 (가좌동)2023-07-31
67씨유 만세원당점인천광역시 서구 원당동 825-4 제일프라자인천광역시 서구 고산후로121번길 25. 제일프라자 110호 (원당동)2023-07-31
78씨유 가정블루밍점인천광역시 서구 가정동 503인천광역시 서구 석곶로 26-1. 1층 일부호 (가정동)2023-07-31
89센트럴 팍인천광역시 서구 당하동 1286-1 검단센트럴시티인천광역시 서구 이음대로 463. 검단센트럴시티 1층 112호 (당하동)2023-07-31
910지에스25검단타운점인천광역시 서구 원당동 1020-1 검단 파라곤 보타닉 파크인천광역시 서구 서로3로 225. 3317동 109호. 110호 (원당동. 검단 파라곤 보타닉 파크)2023-07-31
번호업소명업소지번주소업소도로명주소데이터 기준일자
15011502세규식품인천광역시 서구 마전동 137번지 3 호인천광역시 서구 검단로623번길 20-1 (마전동)2023-07-31
15021503미진수퍼인천광역시 서구 석남동 452번지 16호인천광역시 서구 강남로 25 (석남동)2023-07-31
15031504담배가게인천광역시 서구 가좌동 186번지 4 호인천광역시 서구 가석로156번길 46-4 (가좌동)2023-07-31
15041505경제수퍼인천광역시 서구 석남동 563번지 34 호인천광역시 서구 건지로311번길 9-1 (석남동)2023-07-31
15051506태양문구인천광역시 서구 석남동 586호인천광역시 서구 거북로 78 (석남동)2023-07-31
15061507담배가게인천광역시 서구 가좌동 171번지 1 호인천광역시 서구 건지로318번길 2 (가좌동)2023-07-31
15071508담배가게인천광역시 서구 연희동 741번지 9호인천광역시 서구 승학로299번길 3 (연희동)2023-07-31
15081509담배가게인천광역시 서구 원창동 79번지 5 호인천광역시 서구 봉수대로501번길 6 (원창동)2023-07-31
15091510담배가게인천광역시 서구 심곡동 243번지 9호인천광역시 서구 탁옥로51번길 17 (심곡동)2023-07-31
15101511인천서구청직장금고 매점인천광역시 서구 심곡동 244번지 서구청인천광역시 서구 서곶로 307. 서구청 (심곡동)2023-07-31