Overview

Dataset statistics

Number of variables7
Number of observations493
Missing cells246
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.1 KiB
Average record size in memory56.3 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description담배사업법 제13조 (담배판매업의 등록)에 따라 담배를 매입하여 판매하는 업소는 소재지 관할 구청에 등록을 하여야합니다.광주광역시 동구 내 담배소매인 지정 현황 정보(상호명,주소, 전화번호 등)입니다.
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15021223/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
법인구분 is highly imbalanced (50.8%)Imbalance
기타유의사항 is highly imbalanced (52.9%)Imbalance
전화번호 has 246 (49.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:03:52.340595
Analysis finished2023-12-12 22:03:52.940690
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct483
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T07:03:53.104414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.515213
Min length2

Characters and Unicode

Total characters3705
Distinct characters404
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

Unique473 ?
Unique (%)95.9%

Sample

1st row세븐일레븐 광주황금점
2nd row미니스톱 문화전당점
3rd row세븐일레븐 광주황금타운점
4th row세븐일레븐 광주산수무등점
5th row씨유광주랜드마크점
ValueCountFrequency (%)
세븐일레븐 26
 
3.9%
씨유 21
 
3.2%
이마트24 13
 
2.0%
지에스25 10
 
1.5%
조선대학교 9
 
1.4%
주)코리아세븐 7
 
1.1%
미니스톱 7
 
1.1%
지에스(gs)25 6
 
0.9%
주식회사 5
 
0.8%
gs25 3
 
0.5%
Other values (517) 552
83.8%
2023-12-13T07:03:53.440352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 180
 
4.9%
169
 
4.6%
주 120
 
3.2%
마 104
 
2.8%
트 97
 
2.6%
광 91
 
2.5%
대 69
 
1.9%
븐 65
 
1.8%
지 64
 
1.7%
스 62
 
1.7%
Other values (394) 2684
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3122
84.3%
Space Separator 169
 
4.6%
Decimal Number 126
 
3.4%
Uppercase Letter 112
 
3.0%
Close Punctuation 59
 
1.6%
Open Punctuation 58
 
1.6%
Lowercase Letter 45
 
1.2%
Other Punctuation 8
 
0.2%
Dash Punctuation 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 180
 
5.8%
주 120
 
3.8%
마 104
 
3.3%
트 97
 
3.1%
광 91
 
2.9%
대 69
 
2.2%
븐 65
 
2.1%
지 64
 
2.0%
스 62
 
2.0%
퍼 61
 
2.0%
Other values (340) 2209
70.8%
Uppercase Letter
ValueCountFrequency (%)
G 24
21.4%
S 22
19.6%
C 15
13.4%
U 9
 
8.0%
O 7
 
6.2%
R 6
 
5.4%
T 4
 
3.6%
E 3
 
2.7%
D 3
 
2.7%
V 3
 
2.7%
Other values (10) 16
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
17.8%
o 5
11.1%
r 5
11.1%
p 4
 
8.9%
a 3
 
6.7%
u 2
 
4.4%
n 2
 
4.4%
h 2
 
4.4%
f 2
 
4.4%
g 2
 
4.4%
Other values (8) 10
22.2%
Decimal Number
ValueCountFrequency (%)
2 59
46.8%
5 36
28.6%
4 19
 
15.1%
0 5
 
4.0%
1 4
 
3.2%
9 2
 
1.6%
3 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
& 3
37.5%
/ 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3122
84.3%
Common 426
 
11.5%
Latin 157
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 180
 
5.8%
주 120
 
3.8%
마 104
 
3.3%
트 97
 
3.1%
광 91
 
2.9%
대 69
 
2.2%
븐 65
 
2.1%
지 64
 
2.0%
스 62
 
2.0%
퍼 61
 
2.0%
Other values (340) 2209
70.8%
Latin
ValueCountFrequency (%)
G 24
15.3%
S 22
14.0%
C 15
 
9.6%
U 9
 
5.7%
e 8
 
5.1%
O 7
 
4.5%
R 6
 
3.8%
o 5
 
3.2%
r 5
 
3.2%
p 4
 
2.5%
Other values (28) 52
33.1%
Common
ValueCountFrequency (%)
169
39.7%
2 59
 
13.8%
) 59
 
13.8%
( 58
 
13.6%
5 36
 
8.5%
4 19
 
4.5%
0 5
 
1.2%
. 4
 
0.9%
1 4
 
0.9%
- 4
 
0.9%
Other values (6) 9
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3122
84.3%
ASCII 583
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 180
 
5.8%
주 120
 
3.8%
마 104
 
3.3%
트 97
 
3.1%
광 91
 
2.9%
대 69
 
2.2%
븐 65
 
2.1%
지 64
 
2.0%
스 62
 
2.0%
퍼 61
 
2.0%
Other values (340) 2209
70.8%
ASCII
ValueCountFrequency (%)
169
29.0%
2 59
 
10.1%
) 59
 
10.1%
( 58
 
9.9%
5 36
 
6.2%
G 24
 
4.1%
S 22
 
3.8%
4 19
 
3.3%
C 15
 
2.6%
U 9
 
1.5%
Other values (44) 113
19.4%

업소도로명주소
Text

Distinct483
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T07:03:53.663812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length27.060852
Min length1

Characters and Unicode

Total characters13341
Distinct characters213
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

Unique476 ?
Unique (%)96.6%

Sample

1st row광주광역시 동구 중앙로160번길 30-1. 1층 (황금동)
2nd row광주광역시 동구 금남로 248. 천하빌딩 1층 (금남로1가)
3rd row광주광역시 동구 서석로7번길 6-2 (불로동)
4th row광주광역시 동구 무등로 484. 1층 (산수동)
5th row광주광역시 동구 서석로 44 (광산동)
ValueCountFrequency (%)
광주광역시 488
 
17.8%
동구 488
 
17.8%
1층 85
 
3.1%
계림동 69
 
2.5%
산수동 56
 
2.0%
지산동 42
 
1.5%
학동 41
 
1.5%
서석동 34
 
1.2%
필문대로 29
 
1.1%
소태동 27
 
1.0%
Other values (647) 1386
50.5%
2023-12-13T07:03:54.287044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2298
17.2%
동 1027
 
7.7%
광 989
 
7.4%
1 572
 
4.3%
로 514
 
3.9%
구 510
 
3.8%
주 494
 
3.7%
( 489
 
3.7%
시 489
 
3.7%
) 489
 
3.7%
Other values (203) 5470
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7544
56.5%
Space Separator 2298
 
17.2%
Decimal Number 2133
 
16.0%
Open Punctuation 489
 
3.7%
Close Punctuation 489
 
3.7%
Other Punctuation 236
 
1.8%
Dash Punctuation 132
 
1.0%
Uppercase Letter 12
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1027
13.6%
광 989
 
13.1%
로 514
 
6.8%
구 510
 
6.8%
주 494
 
6.5%
시 489
 
6.5%
역 488
 
6.5%
길 191
 
2.5%
산 158
 
2.1%
번 150
 
2.0%
Other values (174) 2534
33.6%
Decimal Number
ValueCountFrequency (%)
1 572
26.8%
2 317
14.9%
3 245
11.5%
4 181
 
8.5%
5 173
 
8.1%
0 161
 
7.5%
6 147
 
6.9%
7 120
 
5.6%
9 112
 
5.3%
8 105
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
E 2
16.7%
B 2
16.7%
I 1
8.3%
K 1
8.3%
A 1
8.3%
M 1
8.3%
T 1
8.3%
S 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
t 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
2298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 489
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Other Punctuation
ValueCountFrequency (%)
. 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7544
56.5%
Common 5781
43.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1027
13.6%
광 989
 
13.1%
로 514
 
6.8%
구 510
 
6.8%
주 494
 
6.5%
시 489
 
6.5%
역 488
 
6.5%
길 191
 
2.5%
산 158
 
2.1%
번 150
 
2.0%
Other values (174) 2534
33.6%
Common
ValueCountFrequency (%)
2298
39.8%
1 572
 
9.9%
( 489
 
8.5%
) 489
 
8.5%
2 317
 
5.5%
3 245
 
4.2%
. 236
 
4.1%
4 181
 
3.1%
5 173
 
3.0%
0 161
 
2.8%
Other values (6) 620
 
10.7%
Latin
ValueCountFrequency (%)
C 2
12.5%
E 2
12.5%
B 2
12.5%
I 1
 
6.2%
K 1
 
6.2%
Ⅰ 1
 
6.2%
A 1
 
6.2%
M 1
 
6.2%
i 1
 
6.2%
t 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7544
56.5%
ASCII 5796
43.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2298
39.6%
1 572
 
9.9%
( 489
 
8.4%
) 489
 
8.4%
2 317
 
5.5%
3 245
 
4.2%
. 236
 
4.1%
4 181
 
3.1%
5 173
 
3.0%
0 161
 
2.8%
Other values (18) 635
 
11.0%
Hangul
ValueCountFrequency (%)
동 1027
13.6%
광 989
 
13.1%
로 514
 
6.8%
구 510
 
6.8%
주 494
 
6.5%
시 489
 
6.5%
역 488
 
6.5%
길 191
 
2.5%
산 158
 
2.1%
번 150
 
2.0%
Other values (174) 2534
33.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

전화번호
Text

MISSING 

Distinct216
Distinct (%)87.4%
Missing246
Missing (%)49.9%
Memory size4.0 KiB
2023-12-13T07:03:54.555316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.117409
Min length1

Characters and Unicode

Total characters2993
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

Unique210 ?
Unique (%)85.0%

Sample

1st row 031-525-2233
2nd row 062-515-2223
3rd row 062-608-5752
4th row 062-608-5752
5th row 062-608-5752
ValueCountFrequency (%)
062-608-5752 8
 
3.5%
062-521-1190 5
 
2.2%
062-227-7551 2
 
0.9%
062-224-1156 2
 
0.9%
062-227-7277 2
 
0.9%
062-228-6736 1
 
0.4%
062-225-1203 1
 
0.4%
062-234-7283 1
 
0.4%
062-226-2711 1
 
0.4%
062-223-4524 1
 
0.4%
Other values (206) 206
89.6%
2023-12-13T07:03:54.921536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 706
23.6%
- 456
15.2%
0 340
11.4%
6 334
11.2%
248
 
8.3%
3 168
 
5.6%
5 162
 
5.4%
7 137
 
4.6%
1 128
 
4.3%
8 125
 
4.2%
Other values (2) 189
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2289
76.5%
Dash Punctuation 456
 
15.2%
Space Separator 248
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 706
30.8%
0 340
14.9%
6 334
14.6%
3 168
 
7.3%
5 162
 
7.1%
7 137
 
6.0%
1 128
 
5.6%
8 125
 
5.5%
4 112
 
4.9%
9 77
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 456
100.0%
Space Separator
ValueCountFrequency (%)
248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2993
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 706
23.6%
- 456
15.2%
0 340
11.4%
6 334
11.2%
248
 
8.3%
3 168
 
5.6%
5 162
 
5.4%
7 137
 
4.6%
1 128
 
4.3%
8 125
 
4.2%
Other values (2) 189
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 706
23.6%
- 456
15.2%
0 340
11.4%
6 334
11.2%
248
 
8.3%
3 168
 
5.6%
5 162
 
5.4%
7 137
 
4.6%
1 128
 
4.3%
8 125
 
4.2%
Other values (2) 189
 
6.3%

지정일자
Text

Distinct448
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T07:03:55.188972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9817444
Min length1

Characters and Unicode

Total characters4921
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

Unique411 ?
Unique (%)83.4%

Sample

1st row2023-08-17
2nd row2023-08-09
3rd row2023-08-09
4th row2023-08-04
5th row2023-08-01
ValueCountFrequency (%)
2022-09-06 8
 
1.6%
1985-06-30 4
 
0.8%
2015-01-15 2
 
0.4%
2022-08-16 2
 
0.4%
2016-03-29 2
 
0.4%
2022-01-04 2
 
0.4%
2006-10-11 2
 
0.4%
2003-10-31 2
 
0.4%
2018-01-30 2
 
0.4%
2006-07-31 2
 
0.4%
Other values (437) 464
94.3%
2023-12-13T07:03:55.573958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1163
23.6%
- 984
20.0%
2 915
18.6%
1 743
15.1%
9 257
 
5.2%
3 178
 
3.6%
8 171
 
3.5%
6 150
 
3.0%
4 123
 
2.5%
7 119
 
2.4%
Other values (2) 118
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3936
80.0%
Dash Punctuation 984
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1163
29.5%
2 915
23.2%
1 743
18.9%
9 257
 
6.5%
3 178
 
4.5%
8 171
 
4.3%
6 150
 
3.8%
4 123
 
3.1%
7 119
 
3.0%
5 117
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 984
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4921
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1163
23.6%
- 984
20.0%
2 915
18.6%
1 743
15.1%
9 257
 
5.2%
3 178
 
3.6%
8 171
 
3.5%
6 150
 
3.0%
4 123
 
2.5%
7 119
 
2.4%
Other values (2) 118
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1163
23.6%
- 984
20.0%
2 915
18.6%
1 743
15.1%
9 257
 
5.2%
3 178
 
3.6%
8 171
 
3.5%
6 150
 
3.0%
4 123
 
2.5%
7 119
 
2.4%
Other values (2) 118
 
2.4%

법인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
개인
440 
법인
53 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 440
89.2%
법인 53
 
10.8%

Length

2023-12-13T07:03:55.723017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:55.838007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 440
89.2%
법인 53
 
10.8%

기타유의사항
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
휴대폰 번호의 경우 비공개
263 
<NA>
224 
주소 미수집
 
4
지정일자 미수집
 
1
휴대폰 번호의 경우 비공개, 주소 미수집
 
1

Length

Max length22
Median length14
Mean length9.3955375
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row휴대폰 번호의 경우 비공개
2nd row휴대폰 번호의 경우 비공개
3rd row휴대폰 번호의 경우 비공개
4th row휴대폰 번호의 경우 비공개
5th row휴대폰 번호의 경우 비공개

Common Values

ValueCountFrequency (%)
휴대폰 번호의 경우 비공개 263
53.3%
<NA> 224
45.4%
주소 미수집 4
 
0.8%
지정일자 미수집 1
 
0.2%
휴대폰 번호의 경우 비공개, 주소 미수집 1
 
0.2%

Length

2023-12-13T07:03:55.959487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:56.059896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴대폰 264
20.4%
번호의 264
20.4%
경우 264
20.4%
비공개 264
20.4%
na 224
17.3%
미수집 6
 
0.5%
주소 5
 
0.4%
지정일자 1
 
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-09-13 00:00:00
Maximum2023-09-13 00:00:00
2023-12-13T07:03:56.149736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:56.244047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T07:03:56.307420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분기타유의사항
법인구분1.0000.000
기타유의사항0.0001.000
2023-12-13T07:03:56.389386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타유의사항법인구분
기타유의사항1.0000.000
법인구분0.0001.000
2023-12-13T07:03:56.472747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분기타유의사항
법인구분1.0000.000
기타유의사항0.0001.000

Missing values

2023-12-13T07:03:52.787063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:03:52.898283image/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

업소명업소도로명주소전화번호지정일자법인구분기타유의사항데이터기준일자
0세븐일레븐 광주황금점광주광역시 동구 중앙로160번길 30-1. 1층 (황금동)<NA>2023-08-17개인휴대폰 번호의 경우 비공개2023-09-13
1미니스톱 문화전당점광주광역시 동구 금남로 248. 천하빌딩 1층 (금남로1가)<NA>2023-08-09개인휴대폰 번호의 경우 비공개2023-09-13
2세븐일레븐 광주황금타운점광주광역시 동구 서석로7번길 6-2 (불로동)<NA>2023-08-09개인휴대폰 번호의 경우 비공개2023-09-13
3세븐일레븐 광주산수무등점광주광역시 동구 무등로 484. 1층 (산수동)<NA>2023-08-04개인휴대폰 번호의 경우 비공개2023-09-13
4씨유광주랜드마크점광주광역시 동구 서석로 44 (광산동)<NA>2023-08-01개인휴대폰 번호의 경우 비공개2023-09-13
5부곡슈퍼광주광역시 동구 증심사길30번길 31 (운림동)<NA>2023-07-24개인휴대폰 번호의 경우 비공개2023-09-13
6지에스25 금남센텀시티점광주광역시 동구 금남로 237. 1층 103호 (금남로2가)<NA>2023-07-13개인휴대폰 번호의 경우 비공개2023-09-13
7GS25 학동사랑점광주광역시 동구 학소로 139. 1층 (학동)<NA>2023-06-28개인휴대폰 번호의 경우 비공개2023-09-13
8세븐일레븐 광주조대후문점광주광역시 동구 필문대로273번길 1 (동명동)<NA>2023-06-23개인휴대폰 번호의 경우 비공개2023-09-13
9오시오 슈퍼가맥광주광역시 동구 구성로204번길 15-1. 1층 (대인동)<NA>2023-06-20개인휴대폰 번호의 경우 비공개2023-09-13
업소명업소도로명주소전화번호지정일자법인구분기타유의사항데이터기준일자
483브로드웨이24광주광역시 동구 제봉로 133 (대의동)062-228-52311998-10-31개인<NA>2023-09-13
484청운상회광주광역시 동구 제봉로140번길 14 (장동)1991-09-19개인휴대폰 번호의 경우 비공개2023-09-13
485동부경찰서구내복지회광주광역시 동구 예술길 33 (대의동)062-232-48661993-05-29법인<NA>2023-09-13
486금호상회광주광역시 동구 충장로22번길 8-12 (충장로5가)062-226-23291992-06-11개인<NA>2023-09-13
487현대상회광주광역시 동구 구성로 144 (수기동)1995-01-26개인휴대폰 번호의 경우 비공개2023-09-13
488고려익스프레스광주광역시 동구 독립로 268 (대인동)062-226-22921998-09-18개인<NA>2023-09-13
489십자당약국광주광역시 동구 구성로 176 (금남로5가)062-223-51521998-07-21개인<NA>2023-09-13
490월드마트광주광역시 동구 동계천로6번길 16 (대인동)062-225-04431997-09-19개인<NA>2023-09-13
491문구프라자광주광역시 동구 금남로 164 (금남로5가)062-228-87501998-09-07개인<NA>2023-09-13
492복권박스광주광역시 동구 중앙로 223. 한화생명보험 (대인동)062-223-85301993-07-24개인<NA>2023-09-13