Overview

Dataset statistics

Number of variables5
Number of observations631
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory40.2 B

Variable types

Categorical1
Text4

Dataset

Description서울특별시 성동구 내에 위치한 담배소매인 지정 현황에 대하한 정보입니다. 업소명, 도로명주소, 전화번호 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15035620/fileData.do

Alerts

소매인구분 is highly imbalanced (51.0%)Imbalance

Reproduction

Analysis started2023-12-12 03:37:52.753373
Analysis finished2023-12-12 03:37:53.538831
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소매인구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
일반소매인
491 
구내소매인
139 
자동판매기
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row자동판매기
2nd row일반소매인
3rd row일반소매인
4th row일반소매인
5th row일반소매인

Common Values

ValueCountFrequency (%)
일반소매인 491
77.8%
구내소매인 139
 
22.0%
자동판매기 1
 
0.2%

Length

2023-12-12T12:37:53.607740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:37:53.745106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 491
77.8%
구내소매인 139
 
22.0%
자동판매기 1
 
0.2%

업소명
Text

Distinct616
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T12:37:54.066016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length8.4215531
Min length1

Characters and Unicode

Total characters5314
Distinct characters402
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

Unique605 ?
Unique (%)95.9%

Sample

1st row성수신발
2nd row캠퍼스파트너스 (주) 이마트24한양여대행원파크점
3rd row(주)코리아세븐 뚝섬점
4th row이마트24 엔터식스한양대점
5th row세븐일레븐 디지털타워점
ValueCountFrequency (%)
씨유 69
 
7.2%
이마트24 35
 
3.7%
gs25 35
 
3.7%
주)코리아세븐 24
 
2.5%
세븐일레븐 22
 
2.3%
지에스(gs)25 13
 
1.4%
지에스25 11
 
1.2%
cu 10
 
1.0%
익스프레스 6
 
0.6%
홈플러스(주 6
 
0.6%
Other values (658) 722
75.8%
2023-12-12T12:37:54.568360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
 
6.3%
점 305
 
5.7%
성 146
 
2.7%
2 134
 
2.5%
스 130
 
2.4%
마 128
 
2.4%
트 126
 
2.4%
수 121
 
2.3%
리 111
 
2.1%
이 106
 
2.0%
Other values (392) 3671
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4253
80.0%
Space Separator 336
 
6.3%
Decimal Number 271
 
5.1%
Uppercase Letter 232
 
4.4%
Close Punctuation 98
 
1.8%
Open Punctuation 98
 
1.8%
Lowercase Letter 17
 
0.3%
Dash Punctuation 4
 
0.1%
Other Punctuation 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 305
 
7.2%
성 146
 
3.4%
스 130
 
3.1%
마 128
 
3.0%
트 126
 
3.0%
수 121
 
2.8%
리 111
 
2.6%
이 106
 
2.5%
유 97
 
2.3%
씨 93
 
2.2%
Other values (347) 2890
68.0%
Uppercase Letter
ValueCountFrequency (%)
S 74
31.9%
G 65
28.0%
C 24
 
10.3%
U 21
 
9.1%
K 7
 
3.0%
R 7
 
3.0%
A 6
 
2.6%
T 6
 
2.6%
I 5
 
2.2%
M 3
 
1.3%
Other values (10) 14
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
l 2
 
11.8%
o 2
 
11.8%
m 2
 
11.8%
v 1
 
5.9%
n 1
 
5.9%
s 1
 
5.9%
f 1
 
5.9%
g 1
 
5.9%
r 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 134
49.4%
5 86
31.7%
4 39
 
14.4%
1 7
 
2.6%
3 3
 
1.1%
7 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 1
25.0%
/ 1
25.0%
? 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4254
80.1%
Common 811
 
15.3%
Latin 249
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 305
 
7.2%
성 146
 
3.4%
스 130
 
3.1%
마 128
 
3.0%
트 126
 
3.0%
수 121
 
2.8%
리 111
 
2.6%
이 106
 
2.5%
유 97
 
2.3%
씨 93
 
2.2%
Other values (348) 2891
68.0%
Latin
ValueCountFrequency (%)
S 74
29.7%
G 65
26.1%
C 24
 
9.6%
U 21
 
8.4%
K 7
 
2.8%
R 7
 
2.8%
A 6
 
2.4%
T 6
 
2.4%
I 5
 
2.0%
e 5
 
2.0%
Other values (20) 29
 
11.6%
Common
ValueCountFrequency (%)
336
41.4%
2 134
 
16.5%
) 98
 
12.1%
( 98
 
12.1%
5 86
 
10.6%
4 39
 
4.8%
1 7
 
0.9%
- 4
 
0.5%
3 3
 
0.4%
7 2
 
0.2%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4253
80.0%
ASCII 1060
 
19.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
31.7%
2 134
 
12.6%
) 98
 
9.2%
( 98
 
9.2%
5 86
 
8.1%
S 74
 
7.0%
G 65
 
6.1%
4 39
 
3.7%
C 24
 
2.3%
U 21
 
2.0%
Other values (34) 85
 
8.0%
Hangul
ValueCountFrequency (%)
점 305
 
7.2%
성 146
 
3.4%
스 130
 
3.1%
마 128
 
3.0%
트 126
 
3.0%
수 121
 
2.8%
리 111
 
2.6%
이 106
 
2.5%
유 97
 
2.3%
씨 93
 
2.2%
Other values (347) 2890
68.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

지번주소
Text

Distinct611
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T12:37:54.883947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length25.453249
Min length1

Characters and Unicode

Total characters16061
Distinct characters266
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

Unique601 ?
Unique (%)95.2%

Sample

1st row서울특별시 성동구 성수동1가 66번지 1호
2nd row서울특별시 성동구 사근동 110 한양대학교
3rd row서울특별시 성동구 성수동1가 13-104
4th row서울특별시 성동구 행당동 377 서울숲 더샵
5th row서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워
ValueCountFrequency (%)
서울특별시 628
19.0%
성동구 628
19.0%
성수동2가 112
 
3.4%
행당동 82
 
2.5%
성수동1가 72
 
2.2%
용답동 52
 
1.6%
호 51
 
1.5%
1층 49
 
1.5%
마장동 47
 
1.4%
하왕십리동 38
 
1.2%
Other values (829) 1539
46.7%
2023-12-12T12:37:55.437591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2791
17.4%
동 1294
 
8.1%
성 882
 
5.5%
1 702
 
4.4%
서 654
 
4.1%
울 651
 
4.1%
시 636
 
4.0%
구 632
 
3.9%
특 628
 
3.9%
별 628
 
3.9%
Other values (256) 6563
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9936
61.9%
Decimal Number 3128
 
19.5%
Space Separator 2791
 
17.4%
Dash Punctuation 107
 
0.7%
Uppercase Letter 56
 
0.3%
Other Punctuation 14
 
0.1%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Lowercase Letter 9
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1294
13.0%
성 882
 
8.9%
서 654
 
6.6%
울 651
 
6.6%
시 636
 
6.4%
구 632
 
6.4%
특 628
 
6.3%
별 628
 
6.3%
호 508
 
5.1%
지 462
 
4.6%
Other values (216) 2961
29.8%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.3%
B 7
12.5%
A 6
10.7%
I 6
10.7%
K 5
8.9%
X 4
7.1%
C 4
7.1%
E 4
7.1%
D 2
 
3.6%
Z 1
 
1.8%
Other values (9) 9
16.1%
Decimal Number
ValueCountFrequency (%)
1 702
22.4%
2 562
18.0%
3 352
11.3%
6 254
 
8.1%
7 232
 
7.4%
5 227
 
7.3%
0 221
 
7.1%
4 216
 
6.9%
9 192
 
6.1%
8 170
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
r 2
22.2%
w 2
22.2%
o 2
22.2%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
2791
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9936
61.9%
Common 6058
37.7%
Latin 67
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1294
13.0%
성 882
 
8.9%
서 654
 
6.6%
울 651
 
6.6%
시 636
 
6.4%
구 632
 
6.4%
특 628
 
6.3%
별 628
 
6.3%
호 508
 
5.1%
지 462
 
4.6%
Other values (216) 2961
29.8%
Latin
ValueCountFrequency (%)
T 8
11.9%
B 7
 
10.4%
A 6
 
9.0%
I 6
 
9.0%
K 5
 
7.5%
X 4
 
6.0%
C 4
 
6.0%
E 4
 
6.0%
e 3
 
4.5%
D 2
 
3.0%
Other values (15) 18
26.9%
Common
ValueCountFrequency (%)
2791
46.1%
1 702
 
11.6%
2 562
 
9.3%
3 352
 
5.8%
6 254
 
4.2%
7 232
 
3.8%
5 227
 
3.7%
0 221
 
3.6%
4 216
 
3.6%
9 192
 
3.2%
Other values (5) 309
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9936
61.9%
ASCII 6123
38.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2791
45.6%
1 702
 
11.5%
2 562
 
9.2%
3 352
 
5.7%
6 254
 
4.1%
7 232
 
3.8%
5 227
 
3.7%
0 221
 
3.6%
4 216
 
3.5%
9 192
 
3.1%
Other values (28) 374
 
6.1%
Hangul
ValueCountFrequency (%)
동 1294
13.0%
성 882
 
8.9%
서 654
 
6.6%
울 651
 
6.6%
시 636
 
6.4%
구 632
 
6.4%
특 628
 
6.3%
별 628
 
6.3%
호 508
 
5.1%
지 462
 
4.6%
Other values (216) 2961
29.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%

도로명주소
Text

Distinct562
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T12:37:55.884217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length30.177496
Min length1

Characters and Unicode

Total characters19042
Distinct characters300
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

Unique561 ?
Unique (%)88.9%

Sample

1st row
2nd row서울특별시 성동구 왕십리로 222. 한양여자대학교 행원파크 지하1층 1동 (사근동)
3rd row서울특별시 성동구 상원8길 1. 1층 3호 (성수동1가)
4th row서울특별시 성동구 왕십리로 241. 201동 B101호 (행당동. 서울숲 더샵)
5th row서울특별시 성동구 성수일로4길 25. 서울숲코오롱디지털타워 1층 110호 (성수동2가)
ValueCountFrequency (%)
서울특별시 561
 
15.5%
성동구 561
 
15.5%
1층 213
 
5.9%
성수동2가 118
 
3.3%
행당동 81
 
2.2%
성수동1가 74
 
2.0%
왕십리로 53
 
1.5%
용답동 45
 
1.2%
마장동 34
 
0.9%
하왕십리동 32
 
0.9%
Other values (874) 1847
51.0%
2023-12-12T12:37:56.532996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3226
 
16.9%
동 1258
 
6.6%
1 1034
 
5.4%
성 867
 
4.6%
서 623
 
3.3%
울 594
 
3.1%
시 585
 
3.1%
) 567
 
3.0%
( 566
 
3.0%
구 566
 
3.0%
Other values (290) 9156
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10976
57.6%
Space Separator 3226
 
16.9%
Decimal Number 2952
 
15.5%
Close Punctuation 567
 
3.0%
Open Punctuation 566
 
3.0%
Other Punctuation 520
 
2.7%
Uppercase Letter 112
 
0.6%
Dash Punctuation 100
 
0.5%
Math Symbol 12
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1258
 
11.5%
성 867
 
7.9%
서 623
 
5.7%
울 594
 
5.4%
시 585
 
5.3%
구 566
 
5.2%
별 562
 
5.1%
특 561
 
5.1%
로 410
 
3.7%
호 324
 
3.0%
Other values (243) 4626
42.1%
Uppercase Letter
ValueCountFrequency (%)
B 30
26.8%
A 12
 
10.7%
C 8
 
7.1%
T 8
 
7.1%
K 6
 
5.4%
I 6
 
5.4%
E 5
 
4.5%
X 4
 
3.6%
S 3
 
2.7%
R 3
 
2.7%
Other values (15) 27
24.1%
Decimal Number
ValueCountFrequency (%)
1 1034
35.0%
2 501
17.0%
0 316
 
10.7%
3 255
 
8.6%
4 201
 
6.8%
7 143
 
4.8%
5 143
 
4.8%
6 142
 
4.8%
8 113
 
3.8%
9 104
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
r 2
22.2%
w 2
22.2%
o 2
22.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
3226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 567
100.0%
Open Punctuation
ValueCountFrequency (%)
( 566
100.0%
Other Punctuation
ValueCountFrequency (%)
. 520
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10976
57.6%
Common 7943
41.7%
Latin 123
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1258
 
11.5%
성 867
 
7.9%
서 623
 
5.7%
울 594
 
5.4%
시 585
 
5.3%
구 566
 
5.2%
별 562
 
5.1%
특 561
 
5.1%
로 410
 
3.7%
호 324
 
3.0%
Other values (243) 4626
42.1%
Latin
ValueCountFrequency (%)
B 30
24.4%
A 12
 
9.8%
C 8
 
6.5%
T 8
 
6.5%
K 6
 
4.9%
I 6
 
4.9%
E 5
 
4.1%
X 4
 
3.3%
S 3
 
2.4%
R 3
 
2.4%
Other values (21) 38
30.9%
Common
ValueCountFrequency (%)
3226
40.6%
1 1034
 
13.0%
) 567
 
7.1%
( 566
 
7.1%
. 520
 
6.5%
2 501
 
6.3%
0 316
 
4.0%
3 255
 
3.2%
4 201
 
2.5%
7 143
 
1.8%
Other values (6) 614
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10976
57.6%
ASCII 8064
42.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3226
40.0%
1 1034
 
12.8%
) 567
 
7.0%
( 566
 
7.0%
. 520
 
6.4%
2 501
 
6.2%
0 316
 
3.9%
3 255
 
3.2%
4 201
 
2.5%
7 143
 
1.8%
Other values (35) 735
 
9.1%
Hangul
ValueCountFrequency (%)
동 1258
 
11.5%
성 867
 
7.9%
서 623
 
5.7%
울 594
 
5.4%
시 585
 
5.3%
구 566
 
5.2%
별 562
 
5.1%
특 561
 
5.1%
로 410
 
3.7%
호 324
 
3.0%
Other values (243) 4626
42.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

지정일자
Text

Distinct543
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T12:37:56.885087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9857369
Min length1

Characters and Unicode

Total characters6301
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)75.4%

Sample

1st row
2nd row2023-03-21
3rd row2023-03-16
4th row2023-03-15
5th row2023-03-06
ValueCountFrequency (%)
1999-03-04 6
 
1.0%
1998-12-12 5
 
0.8%
2017-02-10 5
 
0.8%
1998-11-27 4
 
0.6%
2021-10-21 4
 
0.6%
2019-09-25 3
 
0.5%
1998-12-18 3
 
0.5%
2019-03-14 3
 
0.5%
2019-02-21 3
 
0.5%
2021-09-13 3
 
0.5%
Other values (532) 591
93.8%
2023-12-12T12:37:57.401103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1462
23.2%
- 1260
20.0%
2 1143
18.1%
1 1032
16.4%
9 381
 
6.0%
8 201
 
3.2%
3 188
 
3.0%
6 178
 
2.8%
7 163
 
2.6%
4 149
 
2.4%
Other values (2) 144
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5040
80.0%
Dash Punctuation 1260
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1462
29.0%
2 1143
22.7%
1 1032
20.5%
9 381
 
7.6%
8 201
 
4.0%
3 188
 
3.7%
6 178
 
3.5%
7 163
 
3.2%
4 149
 
3.0%
5 143
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1260
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1462
23.2%
- 1260
20.0%
2 1143
18.1%
1 1032
16.4%
9 381
 
6.0%
8 201
 
3.2%
3 188
 
3.0%
6 178
 
2.8%
7 163
 
2.6%
4 149
 
2.4%
Other values (2) 144
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1462
23.2%
- 1260
20.0%
2 1143
18.1%
1 1032
16.4%
9 381
 
6.0%
8 201
 
3.2%
3 188
 
3.0%
6 178
 
2.8%
7 163
 
2.6%
4 149
 
2.4%
Other values (2) 144
 
2.3%

Missing values

2023-12-12T12:37:53.387567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:37:53.496529image/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

소매인구분업소명지번주소도로명주소지정일자
0자동판매기성수신발서울특별시 성동구 성수동1가 66번지 1호
1일반소매인캠퍼스파트너스 (주) 이마트24한양여대행원파크점서울특별시 성동구 사근동 110 한양대학교서울특별시 성동구 왕십리로 222. 한양여자대학교 행원파크 지하1층 1동 (사근동)2023-03-21
2일반소매인(주)코리아세븐 뚝섬점서울특별시 성동구 성수동1가 13-104서울특별시 성동구 상원8길 1. 1층 3호 (성수동1가)2023-03-16
3일반소매인이마트24 엔터식스한양대점서울특별시 성동구 행당동 377 서울숲 더샵서울특별시 성동구 왕십리로 241. 201동 B101호 (행당동. 서울숲 더샵)2023-03-15
4일반소매인세븐일레븐 디지털타워점서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워서울특별시 성동구 성수일로4길 25. 서울숲코오롱디지털타워 1층 110호 (성수동2가)2023-03-06
5일반소매인씨유 장한평역점서울특별시 성동구 용답동 232-1 신창비바패밀리서울특별시 성동구 천호대로 400. 1층 109호 (용답동. 신창비바패밀리)2023-02-28
6일반소매인GS25 성수럭키점서울특별시 성동구 송정동 73-577서울특별시 성동구 광나루로11길 28. 1층 (송정동)2023-02-24
7일반소매인이마트24 왕십리신스타점서울특별시 성동구 하왕십리동 985-9서울특별시 성동구 무학봉15가길 7. 1층 (하왕십리동)2023-02-17
8일반소매인송정마트서울특별시 성동구 송정동 87-9서울특별시 성동구 동일로 261-1. 1층 (송정동)2023-02-02
9일반소매인씨유 상왕십리역점서울특별시 성동구 상왕십리동 750 노블리안오피스텔서울특별시 성동구 왕십리로 390. 노블리안오피스텔 1층 105호 (상왕십리동)2022-12-22
소매인구분업소명지번주소도로명주소지정일자
621구내소매인하왕슈퍼서울특별시 성동구 하왕십리동 989호서울특별시 성동구 무학봉15길 17 (하왕십리동)1994-01-20
622일반소매인신세계양복점서울특별시 성동구 마장동 478번지 1호서울특별시 성동구 마장로29길 46-1 (마장동)1993-09-15
623일반소매인응봉문구서울특별시 성동구 응봉동 193번지 79 호서울특별시 성동구 독서당로60길 2 (응봉동)1993-01-07
624일반소매인-서울특별시 성동구 송정동 92번지서울특별시 성동구 동일로 279 (송정동)1991-07-05
625일반소매인수립슈퍼서울특별시 성동구 성수동1가 8번지 14호서울특별시 성동구 왕십리로4길 24-33 (성수동1가)1991-03-30
626일반소매인훼미리마트성수점서울특별시 성동구 성수동1가 249번지 1호1987-02-04
627일반소매인유성슈퍼서울특별시 성동구 마장동 519번지 8호1986-10-22
628일반소매인경북철물서울특별시 성동구 마장동 521번지 9호서울특별시 성동구 고산자로 336 (마장동)1984-06-30
629일반소매인경기상회서울특별시 성동구 마장동 793번지 15호서울특별시 성동구 마조로16길 3 (마장동)1980-12-22
630일반소매인한양슈퍼서울특별시 성동구 송정동 66번지 272호서울특별시 성동구 광나루로9가길 12 (송정동)1979-06-30