Overview

Dataset statistics

Number of variables6
Number of observations249
Missing cells111
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description전라남도 화순군 담배 소매인 지정 현황으로 담배 소매 대표자명, 담배 소매 업소명, 담배 소매 지번주소, 담배 소매 도로명주소, 담배 소매 업소 전화번호 등의 정보를 제공합니다.
Author전라남도 화순군
URLhttps://www.data.go.kr/data/15035322/fileData.do

Alerts

데이터기준일 has constant value ""Constant
업소전화번호 has 111 (44.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:47:35.950710
Analysis finished2023-12-12 13:47:36.612161
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125
Minimum1
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T22:47:36.692081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.4
Q163
median125
Q3187
95-th percentile236.6
Maximum249
Range248
Interquartile range (IQR)124

Descriptive statistics

Standard deviation72.024301
Coefficient of variation (CV)0.57619441
Kurtosis-1.2
Mean125
Median Absolute Deviation (MAD)62
Skewness0
Sum31125
Variance5187.5
MonotonicityStrictly increasing
2023-12-12T22:47:36.867850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
172 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%

업소명
Text

Distinct244
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:47:37.230051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length6.1084337
Min length2

Characters and Unicode

Total characters1521
Distinct characters300
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

Unique239 ?
Unique (%)96.0%

Sample

1st row아인슈퍼
2nd row씨유(CU)화순군청점
3rd row씨유 화순그랜드점
4th row그린마트
5th row리딤슈퍼마켓
ValueCountFrequency (%)
미니스톱 5
 
1.7%
세븐일레븐 4
 
1.4%
하나로마트 3
 
1.0%
화순도곡점 3
 
1.0%
gs25 3
 
1.0%
고향슈퍼 2
 
0.7%
화순농협 2
 
0.7%
능주농협 2
 
0.7%
동복농업협동조합 2
 
0.7%
화순광덕점 2
 
0.7%
Other values (262) 268
90.5%
2023-12-12T22:47:37.703080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 57
 
3.7%
56
 
3.7%
점 55
 
3.6%
퍼 52
 
3.4%
슈 49
 
3.2%
순 49
 
3.2%
마 39
 
2.6%
상 37
 
2.4%
회 34
 
2.2%
트 33
 
2.2%
Other values (290) 1060
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1377
90.5%
Space Separator 56
 
3.7%
Uppercase Letter 25
 
1.6%
Decimal Number 24
 
1.6%
Lowercase Letter 21
 
1.4%
Open Punctuation 8
 
0.5%
Close Punctuation 8
 
0.5%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 57
 
4.1%
점 55
 
4.0%
퍼 52
 
3.8%
슈 49
 
3.6%
순 49
 
3.6%
마 39
 
2.8%
상 37
 
2.7%
회 34
 
2.5%
트 33
 
2.4%
농 23
 
1.7%
Other values (260) 949
68.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
23.8%
a 3
14.3%
f 2
 
9.5%
c 2
 
9.5%
m 1
 
4.8%
r 1
 
4.8%
t 1
 
4.8%
s 1
 
4.8%
v 1
 
4.8%
n 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
2 11
45.8%
5 5
20.8%
4 4
 
16.7%
1 2
 
8.3%
9 1
 
4.2%
6 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
28.0%
S 6
24.0%
G 5
20.0%
U 5
20.0%
K 1
 
4.0%
A 1
 
4.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1377
90.5%
Common 98
 
6.4%
Latin 46
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 57
 
4.1%
점 55
 
4.0%
퍼 52
 
3.8%
슈 49
 
3.6%
순 49
 
3.6%
마 39
 
2.8%
상 37
 
2.7%
회 34
 
2.5%
트 33
 
2.4%
농 23
 
1.7%
Other values (260) 949
68.9%
Latin
ValueCountFrequency (%)
C 7
15.2%
S 6
13.0%
G 5
10.9%
e 5
10.9%
U 5
10.9%
a 3
 
6.5%
f 2
 
4.3%
c 2
 
4.3%
m 1
 
2.2%
r 1
 
2.2%
Other values (9) 9
19.6%
Common
ValueCountFrequency (%)
56
57.1%
2 11
 
11.2%
( 8
 
8.2%
) 8
 
8.2%
5 5
 
5.1%
4 4
 
4.1%
1 2
 
2.0%
. 1
 
1.0%
9 1
 
1.0%
6 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1377
90.5%
ASCII 144
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 57
 
4.1%
점 55
 
4.0%
퍼 52
 
3.8%
슈 49
 
3.6%
순 49
 
3.6%
마 39
 
2.8%
상 37
 
2.7%
회 34
 
2.5%
트 33
 
2.4%
농 23
 
1.7%
Other values (260) 949
68.9%
ASCII
ValueCountFrequency (%)
56
38.9%
2 11
 
7.6%
( 8
 
5.6%
) 8
 
5.6%
C 7
 
4.9%
S 6
 
4.2%
5 5
 
3.5%
G 5
 
3.5%
e 5
 
3.5%
U 5
 
3.5%
Other values (20) 28
19.4%

업소지번주소
Text

Distinct220
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:47:37.978150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length22.441767
Min length1

Characters and Unicode

Total characters5588
Distinct characters134
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

Unique217 ?
Unique (%)87.1%

Sample

1st row전라남도 화순군 동복면 천변리 165번지 1호 동복합동정류장
2nd row전라남도 화순군 화순읍 훈리 38번지 1호 이지오피스텔
3rd row전라남도 화순군 화순읍 교리 224번지 5호
4th row전라남도 화순군 화순읍 삼천리 824번지 1호
5th row전라남도 화순군 화순읍 대리 352번지
ValueCountFrequency (%)
전라남도 221
 
17.8%
화순군 221
 
17.8%
화순읍 121
 
9.8%
1호 23
 
1.9%
만연리 18
 
1.5%
능주면 18
 
1.5%
광덕리 18
 
1.5%
향청리 14
 
1.1%
삼천리 12
 
1.0%
일심리 11
 
0.9%
Other values (337) 562
45.4%
2023-12-12T22:47:38.367316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1404
25.1%
화 348
 
6.2%
순 342
 
6.1%
도 241
 
4.3%
남 235
 
4.2%
라 225
 
4.0%
전 222
 
4.0%
리 221
 
4.0%
군 221
 
4.0%
호 187
 
3.3%
Other values (124) 1942
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3348
59.9%
Space Separator 1404
25.1%
Decimal Number 793
 
14.2%
Dash Punctuation 35
 
0.6%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 348
 
10.4%
순 342
 
10.2%
도 241
 
7.2%
남 235
 
7.0%
라 225
 
6.7%
전 222
 
6.6%
리 221
 
6.6%
군 221
 
6.6%
호 187
 
5.6%
지 130
 
3.9%
Other values (106) 976
29.2%
Decimal Number
ValueCountFrequency (%)
1 164
20.7%
2 106
13.4%
3 89
11.2%
4 81
10.2%
6 70
8.8%
0 69
8.7%
5 68
8.6%
8 62
 
7.8%
7 46
 
5.8%
9 38
 
4.8%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
1404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3348
59.9%
Common 2239
40.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 348
 
10.4%
순 342
 
10.2%
도 241
 
7.2%
남 235
 
7.0%
라 225
 
6.7%
전 222
 
6.6%
리 221
 
6.6%
군 221
 
6.6%
호 187
 
5.6%
지 130
 
3.9%
Other values (106) 976
29.2%
Common
ValueCountFrequency (%)
1404
62.7%
1 164
 
7.3%
2 106
 
4.7%
3 89
 
4.0%
4 81
 
3.6%
6 70
 
3.1%
0 69
 
3.1%
5 68
 
3.0%
8 62
 
2.8%
7 46
 
2.1%
Other values (7) 80
 
3.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3348
59.9%
ASCII 2240
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1404
62.7%
1 164
 
7.3%
2 106
 
4.7%
3 89
 
4.0%
4 81
 
3.6%
6 70
 
3.1%
0 69
 
3.1%
5 68
 
3.0%
8 62
 
2.8%
7 46
 
2.1%
Other values (8) 81
 
3.6%
Hangul
ValueCountFrequency (%)
화 348
 
10.4%
순 342
 
10.2%
도 241
 
7.2%
남 235
 
7.0%
라 225
 
6.7%
전 222
 
6.6%
리 221
 
6.6%
군 221
 
6.6%
호 187
 
5.6%
지 130
 
3.9%
Other values (106) 976
29.2%

업소도로명주소
Text

Distinct160
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:47:38.707949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length14.269076
Min length1

Characters and Unicode

Total characters3553
Distinct characters152
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)63.1%

Sample

1st row전라남도 화순군 동복면 오지호로 279. 동복합동정류장 1층
2nd row전라남도 화순군 화순읍 진각로 144. 이지오피스텔
3rd row전라남도 화순군 화순읍 자치샘로 16
4th row전라남도 화순군 화순읍 쌍충로 12-1
5th row전라남도 화순군 화순읍 서양로 4
ValueCountFrequency (%)
전라남도 161
19.0%
화순군 161
19.0%
화순읍 101
 
11.9%
1층 15
 
1.8%
중앙로 14
 
1.7%
만연로 12
 
1.4%
충의로 12
 
1.4%
도곡면 11
 
1.3%
진각로 10
 
1.2%
남면 8
 
0.9%
Other values (235) 343
40.4%
2023-12-12T22:47:39.165041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
779
21.9%
화 269
 
7.6%
순 263
 
7.4%
도 180
 
5.1%
남 171
 
4.8%
군 162
 
4.6%
전 162
 
4.6%
라 161
 
4.5%
1 132
 
3.7%
로 117
 
3.3%
Other values (142) 1157
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2218
62.4%
Space Separator 779
 
21.9%
Decimal Number 474
 
13.3%
Dash Punctuation 28
 
0.8%
Other Punctuation 19
 
0.5%
Close Punctuation 17
 
0.5%
Open Punctuation 17
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 269
12.1%
순 263
11.9%
도 180
 
8.1%
남 171
 
7.7%
군 162
 
7.3%
전 162
 
7.3%
라 161
 
7.3%
로 117
 
5.3%
읍 101
 
4.6%
면 60
 
2.7%
Other values (126) 572
25.8%
Decimal Number
ValueCountFrequency (%)
1 132
27.8%
2 58
12.2%
4 50
 
10.5%
3 48
 
10.1%
5 36
 
7.6%
7 33
 
7.0%
9 33
 
7.0%
0 30
 
6.3%
8 29
 
6.1%
6 25
 
5.3%
Space Separator
ValueCountFrequency (%)
779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2218
62.4%
Common 1334
37.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 269
12.1%
순 263
11.9%
도 180
 
8.1%
남 171
 
7.7%
군 162
 
7.3%
전 162
 
7.3%
라 161
 
7.3%
로 117
 
5.3%
읍 101
 
4.6%
면 60
 
2.7%
Other values (126) 572
25.8%
Common
ValueCountFrequency (%)
779
58.4%
1 132
 
9.9%
2 58
 
4.3%
4 50
 
3.7%
3 48
 
3.6%
5 36
 
2.7%
7 33
 
2.5%
9 33
 
2.5%
0 30
 
2.2%
8 29
 
2.2%
Other values (5) 106
 
7.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2218
62.4%
ASCII 1335
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
779
58.4%
1 132
 
9.9%
2 58
 
4.3%
4 50
 
3.7%
3 48
 
3.6%
5 36
 
2.7%
7 33
 
2.5%
9 33
 
2.5%
0 30
 
2.2%
8 29
 
2.2%
Other values (6) 107
 
8.0%
Hangul
ValueCountFrequency (%)
화 269
12.1%
순 263
11.9%
도 180
 
8.1%
남 171
 
7.7%
군 162
 
7.3%
전 162
 
7.3%
라 161
 
7.3%
로 117
 
5.3%
읍 101
 
4.6%
면 60
 
2.7%
Other values (126) 572
25.8%

업소전화번호
Text

MISSING 

Distinct134
Distinct (%)97.1%
Missing111
Missing (%)44.6%
Memory size2.1 KiB
2023-12-12T22:47:39.433682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1656
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)94.2%

Sample

1st row061-372-4882
2nd row061-375-6644
3rd row061-372-3504
4th row061-374-3904
5th row061-371-8297
ValueCountFrequency (%)
061-375-8801 2
 
1.4%
061-375-7179 2
 
1.4%
061-373-3856 2
 
1.4%
061-373-8150 2
 
1.4%
061-375-5580 1
 
0.7%
061-372-9640 1
 
0.7%
061-373-5511 1
 
0.7%
061-372-7082 1
 
0.7%
061-372-4944 1
 
0.7%
061-374-7661 1
 
0.7%
Other values (124) 124
89.9%
2023-12-12T22:47:39.795667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 276
16.7%
1 221
13.3%
0 203
12.3%
3 202
12.2%
6 188
11.4%
7 178
10.7%
2 111
6.7%
5 84
 
5.1%
4 84
 
5.1%
9 57
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1380
83.3%
Dash Punctuation 276
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 221
16.0%
0 203
14.7%
3 202
14.6%
6 188
13.6%
7 178
12.9%
2 111
8.0%
5 84
 
6.1%
4 84
 
6.1%
9 57
 
4.1%
8 52
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 276
16.7%
1 221
13.3%
0 203
12.3%
3 202
12.2%
6 188
11.4%
7 178
10.7%
2 111
6.7%
5 84
 
5.1%
4 84
 
5.1%
9 57
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 276
16.7%
1 221
13.3%
0 203
12.3%
3 202
12.2%
6 188
11.4%
7 178
10.7%
2 111
6.7%
5 84
 
5.1%
4 84
 
5.1%
9 57
 
3.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2022-06-14 00:00:00
Maximum2022-06-14 00:00:00
2023-12-12T22:47:39.905297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:47:39.987211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:47:36.330831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T22:47:36.444071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:47:36.566379image/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

연번업소명업소지번주소업소도로명주소업소전화번호데이터기준일
01아인슈퍼전라남도 화순군 동복면 천변리 165번지 1호 동복합동정류장전라남도 화순군 동복면 오지호로 279. 동복합동정류장 1층<NA>2022-06-14
12씨유(CU)화순군청점전라남도 화순군 화순읍 훈리 38번지 1호 이지오피스텔전라남도 화순군 화순읍 진각로 144. 이지오피스텔<NA>2022-06-14
23씨유 화순그랜드점전라남도 화순군 화순읍 교리 224번지 5호전라남도 화순군 화순읍 자치샘로 16<NA>2022-06-14
34그린마트전라남도 화순군 화순읍 삼천리 824번지 1호전라남도 화순군 화순읍 쌍충로 12-1<NA>2022-06-14
45리딤슈퍼마켓전라남도 화순군 화순읍 대리 352번지전라남도 화순군 화순읍 서양로 4061-372-48822022-06-14
56농부맘마트주식회사전라남도 화순군 화순읍 만연리 238번지 7호전라남도 화순군 화순읍 중앙로 93-17. 1층061-375-66442022-06-14
67CU화순광덕점전라남도 화순군 화순읍 만연리 238번지 8호전라남도 화순군 화순읍 만연로 66-13<NA>2022-06-14
78노블리안전라남도 화순군 이양면 묵곡리 492번지 3호전라남도 화순군 이양면 개기로 722<NA>2022-06-14
89세븐일레븐 화순고점전라남도 화순군 화순읍 삼천리 498번지전라남도 화순군 화순읍 진각로 29<NA>2022-06-14
910만남의 광장(슈퍼)전라남도 화순군 화순읍 향청리 5번지 6호전라남도 화순군 화순읍 자치샘로 79-1. 1층<NA>2022-06-14
연번업소명업소지번주소업소도로명주소업소전화번호데이터기준일
239240낙지촌전라남도 화순군 화순읍 광덕리 307호전라남도 화순군 화순읍 만연로 18-1<NA>2022-06-14
240241A마트전라남도 화순군 화순읍 광덕리 7-8호 대화쇼핑타운 지하1층061-374-74152022-06-14
241242형제슈퍼전라남도 화순군 화순읍 계소리 236-50호061-374-33102022-06-14
242243공간편의점(24시)전라남도 화순군 화순읍 일심리 823호전라남도 화순군 화순읍 일심1길 3061-374-75752022-06-14
243244화순농협전라남도 화순군 화순읍 교리 100-2호061-374-22952022-06-14
244245해성슈퍼전라남도 화순군 화순읍 광덕리 38호061-374-25512022-06-14
245246유성슈퍼전라남도 화순군 화순읍 교리 106번지 2호전라남도 화순군 화순읍 교동길 6061-374-28302022-06-14
246247대화쇼핑타운전라남도 화순군 화순읍 광덕리 7-8호061-374-79002022-06-14
247248화순축산업협동조합전라남도 화순군 화순읍 광덕리 300호061-373-81502022-06-14
248249사수상회전라남도 화순군 남면 사수리 476번지 10호전라남도 화순군 남면 모후로 801061-373-38562022-06-14