Overview

Dataset statistics

Number of variables7
Number of observations670
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.4 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description서울특별시 중랑구의 담배 소매인 정보를 나타냅니다. 소매인구분,업소명,업소지번주소,업소도로명주소,지정일자,영업구분입니다. 참고해주시기 바랍니다.
Author서울특별시 중랑구
URLhttps://www.data.go.kr/data/15035618/fileData.do

Alerts

소매인구분 is highly imbalanced (64.5%)Imbalance
영업구분 is highly imbalanced (95.9%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:41:03.576558
Analysis finished2023-12-12 19:41:04.667615
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct670
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean335.5
Minimum1
Maximum670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-13T04:41:04.772970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.45
Q1168.25
median335.5
Q3502.75
95-th percentile636.55
Maximum670
Range669
Interquartile range (IQR)334.5

Descriptive statistics

Standard deviation193.55662
Coefficient of variation (CV)0.57691989
Kurtosis-1.2
Mean335.5
Median Absolute Deviation (MAD)167.5
Skewness0
Sum224785
Variance37464.167
MonotonicityStrictly increasing
2023-12-13T04:41:04.971334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
442 1
 
0.1%
444 1
 
0.1%
445 1
 
0.1%
446 1
 
0.1%
447 1
 
0.1%
448 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
Other values (660) 660
98.5%
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 (%)
670 1
0.1%
669 1
0.1%
668 1
0.1%
667 1
0.1%
666 1
0.1%
665 1
0.1%
664 1
0.1%
663 1
0.1%
662 1
0.1%
661 1
0.1%

소매인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
일반소매인
625 
구내소매인
 
45

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 625
93.3%
구내소매인 45
 
6.7%

Length

2023-12-13T04:41:05.141431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:41:05.269856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 625
93.3%
구내소매인 45
 
6.7%

업소명
Text

Distinct651
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2023-12-13T04:41:05.504589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.9134328
Min length1

Characters and Unicode

Total characters5302
Distinct characters399
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

Unique638 ?
Unique (%)95.2%

Sample

1st row이마트24 R상봉스타점
2nd row녹색공인중개사사무소
3rd row희망공인중개사사무소
4th row씨유 혜원사거리점
5th row씨유 SKV1B동점
ValueCountFrequency (%)
씨유 64
 
6.5%
gs25 36
 
3.7%
세븐일레븐 24
 
2.4%
이마트24 23
 
2.3%
주)코리아세븐 22
 
2.2%
지에스25 21
 
2.1%
지에스(gs)25 15
 
1.5%
면목점 7
 
0.7%
편의점 5
 
0.5%
마트 4
 
0.4%
Other values (682) 761
77.5%
2023-12-13T04:41:06.001659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
 
5.9%
점 295
 
5.6%
마 166
 
3.1%
트 156
 
2.9%
2 144
 
2.7%
중 122
 
2.3%
5 109
 
2.1%
스 106
 
2.0%
유 90
 
1.7%
S 89
 
1.7%
Other values (389) 3713
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4286
80.8%
Space Separator 312
 
5.9%
Decimal Number 303
 
5.7%
Uppercase Letter 222
 
4.2%
Open Punctuation 81
 
1.5%
Close Punctuation 81
 
1.5%
Lowercase Letter 12
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 295
 
6.9%
마 166
 
3.9%
트 156
 
3.6%
중 122
 
2.8%
스 106
 
2.5%
유 90
 
2.1%
면 82
 
1.9%
사 82
 
1.9%
목 81
 
1.9%
씨 80
 
1.9%
Other values (348) 3026
70.6%
Uppercase Letter
ValueCountFrequency (%)
S 89
40.1%
G 83
37.4%
C 15
 
6.8%
U 10
 
4.5%
R 4
 
1.8%
O 3
 
1.4%
I 3
 
1.4%
V 2
 
0.9%
K 2
 
0.9%
D 2
 
0.9%
Other values (7) 9
 
4.1%
Decimal Number
ValueCountFrequency (%)
2 144
47.5%
5 109
36.0%
4 29
 
9.6%
1 8
 
2.6%
6 3
 
1.0%
3 3
 
1.0%
7 3
 
1.0%
9 2
 
0.7%
0 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
u 3
25.0%
p 2
16.7%
s 2
16.7%
o 1
 
8.3%
m 1
 
8.3%
t 1
 
8.3%
l 1
 
8.3%
c 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
; 1
50.0%
Space Separator
ValueCountFrequency (%)
312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4287
80.9%
Common 781
 
14.7%
Latin 234
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 295
 
6.9%
마 166
 
3.9%
트 156
 
3.6%
중 122
 
2.8%
스 106
 
2.5%
유 90
 
2.1%
면 82
 
1.9%
사 82
 
1.9%
목 81
 
1.9%
씨 80
 
1.9%
Other values (349) 3027
70.6%
Latin
ValueCountFrequency (%)
S 89
38.0%
G 83
35.5%
C 15
 
6.4%
U 10
 
4.3%
R 4
 
1.7%
O 3
 
1.3%
u 3
 
1.3%
I 3
 
1.3%
p 2
 
0.9%
V 2
 
0.9%
Other values (15) 20
 
8.5%
Common
ValueCountFrequency (%)
312
39.9%
2 144
18.4%
5 109
 
14.0%
( 81
 
10.4%
) 81
 
10.4%
4 29
 
3.7%
1 8
 
1.0%
6 3
 
0.4%
3 3
 
0.4%
7 3
 
0.4%
Other values (5) 8
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4286
80.8%
ASCII 1015
 
19.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
30.7%
2 144
14.2%
5 109
 
10.7%
S 89
 
8.8%
G 83
 
8.2%
( 81
 
8.0%
) 81
 
8.0%
4 29
 
2.9%
C 15
 
1.5%
U 10
 
1.0%
Other values (30) 62
 
6.1%
Hangul
ValueCountFrequency (%)
점 295
 
6.9%
마 166
 
3.9%
트 156
 
3.6%
중 122
 
2.8%
스 106
 
2.5%
유 90
 
2.1%
면 82
 
1.9%
사 82
 
1.9%
목 81
 
1.9%
씨 80
 
1.9%
Other values (348) 3026
70.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업소지번주소
Text

Distinct667
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2023-12-13T04:41:06.284499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length23.747761
Min length15

Characters and Unicode

Total characters15911
Distinct characters244
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

Unique664 ?
Unique (%)99.1%

Sample

1st row서울특별시 중랑구 상봉동 103
2nd row서울특별시 중랑구 면목동 499-25 녹색부동산
3rd row서울특별시 중랑구 면목동 152-19 행운마트
4th row서울특별시 중랑구 망우동 517-47 연평도해물탕
5th row서울특별시 중랑구 신내동 821-2 신내 SK V1 center
ValueCountFrequency (%)
서울특별시 670
19.9%
중랑구 670
19.9%
면목동 252
 
7.5%
상봉동 90
 
2.7%
망우동 86
 
2.6%
중화동 82
 
2.4%
묵동 69
 
2.0%
신내동 57
 
1.7%
1층 55
 
1.6%
1호 37
 
1.1%
Other values (887) 1299
38.6%
2023-12-13T04:41:06.828862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2702
 
17.0%
1 784
 
4.9%
중 759
 
4.8%
동 729
 
4.6%
시 681
 
4.3%
서 676
 
4.2%
구 675
 
4.2%
울 675
 
4.2%
랑 673
 
4.2%
특 670
 
4.2%
Other values (234) 6887
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9520
59.8%
Decimal Number 3333
 
20.9%
Space Separator 2702
 
17.0%
Dash Punctuation 289
 
1.8%
Other Punctuation 32
 
0.2%
Lowercase Letter 18
 
0.1%
Uppercase Letter 13
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 759
 
8.0%
동 729
 
7.7%
시 681
 
7.2%
서 676
 
7.1%
구 675
 
7.1%
울 675
 
7.1%
랑 673
 
7.1%
특 670
 
7.0%
별 670
 
7.0%
호 390
 
4.1%
Other values (202) 2922
30.7%
Decimal Number
ValueCountFrequency (%)
1 784
23.5%
2 432
13.0%
3 366
11.0%
4 325
9.8%
0 300
 
9.0%
5 265
 
8.0%
6 243
 
7.3%
7 224
 
6.7%
8 214
 
6.4%
9 180
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
c 3
16.7%
n 2
 
11.1%
r 2
 
11.1%
t 2
 
11.1%
i 1
 
5.6%
b 1
 
5.6%
g 1
 
5.6%
l 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
23.1%
K 2
15.4%
V 2
15.4%
S 2
15.4%
E 1
 
7.7%
D 1
 
7.7%
C 1
 
7.7%
A 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Other Punctuation
ValueCountFrequency (%)
. 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9520
59.8%
Common 6360
40.0%
Latin 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 759
 
8.0%
동 729
 
7.7%
시 681
 
7.2%
서 676
 
7.1%
구 675
 
7.1%
울 675
 
7.1%
랑 673
 
7.1%
특 670
 
7.0%
별 670
 
7.0%
호 390
 
4.1%
Other values (202) 2922
30.7%
Latin
ValueCountFrequency (%)
e 5
16.1%
B 3
9.7%
c 3
9.7%
K 2
 
6.5%
V 2
 
6.5%
n 2
 
6.5%
r 2
 
6.5%
t 2
 
6.5%
S 2
 
6.5%
E 1
 
3.2%
Other values (7) 7
22.6%
Common
ValueCountFrequency (%)
2702
42.5%
1 784
 
12.3%
2 432
 
6.8%
3 366
 
5.8%
4 325
 
5.1%
0 300
 
4.7%
- 289
 
4.5%
5 265
 
4.2%
6 243
 
3.8%
7 224
 
3.5%
Other values (5) 430
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9520
59.8%
ASCII 6391
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2702
42.3%
1 784
 
12.3%
2 432
 
6.8%
3 366
 
5.7%
4 325
 
5.1%
0 300
 
4.7%
- 289
 
4.5%
5 265
 
4.1%
6 243
 
3.8%
7 224
 
3.5%
Other values (22) 461
 
7.2%
Hangul
ValueCountFrequency (%)
중 759
 
8.0%
동 729
 
7.7%
시 681
 
7.2%
서 676
 
7.1%
구 675
 
7.1%
울 675
 
7.1%
랑 673
 
7.1%
특 670
 
7.0%
별 670
 
7.0%
호 390
 
4.1%
Other values (202) 2922
30.7%

업소도로명주소
Text

Distinct667
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2023-12-13T04:41:07.182147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length29.950746
Min length1

Characters and Unicode

Total characters20067
Distinct characters273
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique664 ?
Unique (%)99.1%

Sample

1st row서울특별시 중랑구 면목로92길 42. 1층 (상봉동)
2nd row서울특별시 중랑구 면목로55길 21. 녹색부동산 (면목동)
3rd row서울특별시 중랑구 겸재로18길 13. 행운마트 (면목동)
4th row서울특별시 중랑구 상봉로 90 (망우동)
5th row서울특별시 중랑구 신내역로 111. 신내 SK V1 center B동 1층 34. 35호 (신내동)
ValueCountFrequency (%)
서울특별시 668
 
16.8%
중랑구 668
 
16.8%
면목동 269
 
6.7%
1층 229
 
5.7%
상봉동 92
 
2.3%
망우동 91
 
2.3%
중화동 84
 
2.1%
묵동 71
 
1.8%
신내동 58
 
1.5%
동일로 32
 
0.8%
Other values (835) 1725
43.3%
2023-12-13T04:41:07.747144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3321
 
16.5%
1 908
 
4.5%
동 842
 
4.2%
중 822
 
4.1%
랑 722
 
3.6%
시 681
 
3.4%
서 676
 
3.4%
울 675
 
3.4%
구 671
 
3.3%
로 671
 
3.3%
Other values (263) 10078
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11712
58.4%
Space Separator 3321
 
16.5%
Decimal Number 3095
 
15.4%
Close Punctuation 668
 
3.3%
Open Punctuation 668
 
3.3%
Other Punctuation 516
 
2.6%
Dash Punctuation 40
 
0.2%
Uppercase Letter 30
 
0.1%
Lowercase Letter 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 842
 
7.2%
중 822
 
7.0%
랑 722
 
6.2%
시 681
 
5.8%
서 676
 
5.8%
울 675
 
5.8%
구 671
 
5.7%
로 671
 
5.7%
별 669
 
5.7%
특 668
 
5.7%
Other values (231) 4615
39.4%
Decimal Number
ValueCountFrequency (%)
1 908
29.3%
2 375
12.1%
0 287
 
9.3%
3 278
 
9.0%
4 276
 
8.9%
5 251
 
8.1%
6 202
 
6.5%
9 188
 
6.1%
7 180
 
5.8%
8 150
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 13
43.3%
S 4
 
13.3%
A 3
 
10.0%
K 3
 
10.0%
V 2
 
6.7%
E 1
 
3.3%
D 1
 
3.3%
G 1
 
3.3%
L 1
 
3.3%
R 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
33.3%
c 3
20.0%
n 2
 
13.3%
r 2
 
13.3%
t 2
 
13.3%
i 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 668
100.0%
Open Punctuation
ValueCountFrequency (%)
( 668
100.0%
Other Punctuation
ValueCountFrequency (%)
. 516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11712
58.4%
Common 8310
41.4%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 842
 
7.2%
중 822
 
7.0%
랑 722
 
6.2%
시 681
 
5.8%
서 676
 
5.8%
울 675
 
5.8%
구 671
 
5.7%
로 671
 
5.7%
별 669
 
5.7%
특 668
 
5.7%
Other values (231) 4615
39.4%
Common
ValueCountFrequency (%)
3321
40.0%
1 908
 
10.9%
) 668
 
8.0%
( 668
 
8.0%
. 516
 
6.2%
2 375
 
4.5%
0 287
 
3.5%
3 278
 
3.3%
4 276
 
3.3%
5 251
 
3.0%
Other values (6) 762
 
9.2%
Latin
ValueCountFrequency (%)
B 13
28.9%
e 5
 
11.1%
S 4
 
8.9%
A 3
 
6.7%
c 3
 
6.7%
K 3
 
6.7%
V 2
 
4.4%
n 2
 
4.4%
r 2
 
4.4%
t 2
 
4.4%
Other values (6) 6
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11712
58.4%
ASCII 8355
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3321
39.7%
1 908
 
10.9%
) 668
 
8.0%
( 668
 
8.0%
. 516
 
6.2%
2 375
 
4.5%
0 287
 
3.4%
3 278
 
3.3%
4 276
 
3.3%
5 251
 
3.0%
Other values (22) 807
 
9.7%
Hangul
ValueCountFrequency (%)
동 842
 
7.2%
중 822
 
7.0%
랑 722
 
6.2%
시 681
 
5.8%
서 676
 
5.8%
울 675
 
5.8%
구 671
 
5.7%
로 671
 
5.7%
별 669
 
5.7%
특 668
 
5.7%
Other values (231) 4615
39.4%

지정일자
Date

Distinct584
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1970-07-31 00:00:00
Maximum2022-11-04 00:00:00
2023-12-13T04:41:07.927674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:41:08.114108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
정상영업
667 
휴업처리
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상영업
2nd row정상영업
3rd row정상영업
4th row정상영업
5th row정상영업

Common Values

ValueCountFrequency (%)
정상영업 667
99.6%
휴업처리 3
 
0.4%

Length

2023-12-13T04:41:08.244398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:41:08.353525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 667
99.6%
휴업처리 3
 
0.4%

Interactions

2023-12-13T04:41:04.327620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:41:08.405521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분영업구분
연번1.0000.2200.216
소매인구분0.2201.0000.000
영업구분0.2160.0001.000
2023-12-13T04:41:08.490770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분영업구분
소매인구분1.0000.000
영업구분0.0001.000
2023-12-13T04:41:08.592348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분영업구분
연번1.0000.1670.165
소매인구분0.1671.0000.000
영업구분0.1650.0001.000

Missing values

2023-12-13T04:41:04.469752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:41:04.606690image/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

연번소매인구분업소명업소지번주소업소도로명주소지정일자영업구분
01일반소매인이마트24 R상봉스타점서울특별시 중랑구 상봉동 103서울특별시 중랑구 면목로92길 42. 1층 (상봉동)2022-11-04정상영업
12일반소매인녹색공인중개사사무소서울특별시 중랑구 면목동 499-25 녹색부동산서울특별시 중랑구 면목로55길 21. 녹색부동산 (면목동)2022-11-02정상영업
23일반소매인희망공인중개사사무소서울특별시 중랑구 면목동 152-19 행운마트서울특별시 중랑구 겸재로18길 13. 행운마트 (면목동)2022-10-28정상영업
34일반소매인씨유 혜원사거리점서울특별시 중랑구 망우동 517-47 연평도해물탕서울특별시 중랑구 상봉로 90 (망우동)2022-10-19정상영업
45일반소매인씨유 SKV1B동점서울특별시 중랑구 신내동 821-2 신내 SK V1 center서울특별시 중랑구 신내역로 111. 신내 SK V1 center B동 1층 34. 35호 (신내동)2022-10-07정상영업
56일반소매인세림상사서울특별시 중랑구 망우동 301-22서울특별시 중랑구 용마산로136길 106 (망우동)2022-09-07정상영업
67일반소매인씨유 묵동더드림점서울특별시 중랑구 묵동 245-8서울특별시 중랑구 동일로 855. 1층 (묵동)2022-09-02정상영업
78일반소매인(주)코리아세븐 상봉본점(대표 최경호)서울특별시 중랑구 상봉동 113-11서울특별시 중랑구 면목로95길 11. 101호 (상봉동)2022-08-31정상영업
89일반소매인(주)코리아세븐 면목패션점서울특별시 중랑구 면목동 148-9서울특별시 중랑구 겸재로 129. 1층 (면목동)2022-08-17정상영업
910일반소매인씨유 망우혜원점서울특별시 중랑구 망우동 503-11 금유빌딩서울특별시 중랑구 봉우재로58길 16. 1층 (망우동)2022-08-09정상영업
연번소매인구분업소명업소지번주소업소도로명주소지정일자영업구분
660661일반소매인웨이스탑 상봉역점서울특별시 중랑구 상봉동 102번지 73호서울특별시 중랑구 면목로 480 (상봉동)1984-12-05정상영업
661662일반소매인남일슈퍼서울특별시 중랑구 면목동 143-45서울특별시 중랑구 동일로102길 27 (면목동)1984-06-27정상영업
662663일반소매인충북상회서울특별시 중랑구 면목동 43-1서울특별시 중랑구 용마산로93길 41 (면목동)1981-03-23정상영업
663664일반소매인잡화서울특별시 중랑구 면목동 506-42서울특별시 중랑구 겸재로36길 25 (면목동)1979-07-01정상영업
664665일반소매인동부고려제과서울특별시 중랑구 망우동 563번지서울특별시 중랑구 망우로 388. 1층 (망우동)1998-10-31정상영업
665666일반소매인대덕유지서울특별시 중랑구 면목동 650번지서울특별시 중랑구 면목로39길 11 (면목동)1978-12-15정상영업
666667일반소매인덕산슈퍼서울특별시 중랑구 면목동 527-165 덕산슈퍼서울특별시 중랑구 용마산로58길 27. 덕산슈퍼 (면목동)1970-07-31정상영업
667668일반소매인금남슈퍼서울특별시 중랑구 상봉동 102-27서울특별시 중랑구 면목로92길 21 (상봉동)2011-03-24휴업처리
668669구내소매인진로마트서울특별시 중랑구 묵동 165서울특별시 중랑구 중랑역로 262. 동양쇼핑센터 1층 (묵동)2005-05-13휴업처리
669670일반소매인세븐일레븐면목2호점서울특별시 중랑구 면목동 618번지 1호2002-02-25휴업처리