Overview

Dataset statistics

Number of variables8
Number of observations213
Missing cells15
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory64.6 B

Variable types

Categorical4
Text3
DateTime1

Dataset

Description경상남도 창녕군 관내 담배소매인 지정 현황 정보(시군명, 소매인구분, 업소명, 지번주소, 도로명주소, 영업상태, 지정일자, 데이터기준일자)
Author경상남도 창녕군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035661

Alerts

시군명 has constant value ""Constant
영업상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소명 has 15 (7.0%) missing valuesMissing
업소지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:17:30.059329
Analysis finished2023-12-11 00:17:30.667777
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
경상남도 창녕군
213 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 창녕군
2nd row경상남도 창녕군
3rd row경상남도 창녕군
4th row경상남도 창녕군
5th row경상남도 창녕군

Common Values

ValueCountFrequency (%)
경상남도 창녕군 213
100.0%

Length

2023-12-11T09:17:30.742579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:30.852069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 213
50.0%
창녕군 213
50.0%

소매인구분
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
담배사업법 제7조의3제2항에따른경우
120 
76 
담배사업법 제7조의3제3항에따른경우
16 
담배사업법 담배사업법 제7조의3제2항에따른경우
 
1

Length

Max length25
Median length19
Mean length12.605634
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row담배사업법 담배사업법 제7조의3제2항에따른경우
2nd row담배사업법 제7조의3제2항에따른경우
3rd row담배사업법 제7조의3제2항에따른경우
4th row담배사업법 제7조의3제2항에따른경우
5th row담배사업법 제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
담배사업법 제7조의3제2항에따른경우 120
56.3%
76
35.7%
담배사업법 제7조의3제3항에따른경우 16
 
7.5%
담배사업법 담배사업법 제7조의3제2항에따른경우 1
 
0.5%

Length

2023-12-11T09:17:30.951623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:31.057820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배사업법 138
50.2%
제7조의3제2항에따른경우 121
44.0%
제7조의3제3항에따른경우 16
 
5.8%

업소명
Text

MISSING 

Distinct198
Distinct (%)100.0%
Missing15
Missing (%)7.0%
Memory size1.8 KiB
2023-12-11T09:17:31.321529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.540404
Min length2

Characters and Unicode

Total characters1493
Distinct characters266
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

Unique198 ?
Unique (%)100.0%

Sample

1st row(주)코리아세븐 창녕이방옥야점
2nd row지에스(GS)25 창녕넥센점
3rd row씨유창녕계성힐마루점
4th row지에스(GS)25 창녕화왕점
5th row세븐일레븐 창녕서호점
ValueCountFrequency (%)
세븐일레븐 11
 
4.0%
이마트24 9
 
3.3%
씨유 9
 
3.3%
gs25 5
 
1.8%
지에스(gs)25 4
 
1.4%
창녕점 3
 
1.1%
하나로마트 3
 
1.1%
주)코리아세븐 3
 
1.1%
창녕남지유채점 2
 
0.7%
남지농협 2
 
0.7%
Other values (223) 225
81.5%
2023-12-11T09:17:31.694895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
5.3%
점 79
 
5.3%
창 59
 
4.0%
녕 55
 
3.7%
마 51
 
3.4%
트 45
 
3.0%
지 40
 
2.7%
븐 27
 
1.8%
퍼 27
 
1.8%
슈 26
 
1.7%
Other values (256) 1005
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1269
85.0%
Space Separator 79
 
5.3%
Decimal Number 58
 
3.9%
Uppercase Letter 44
 
2.9%
Close Punctuation 18
 
1.2%
Open Punctuation 18
 
1.2%
Lowercase Letter 6
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 79
 
6.2%
창 59
 
4.6%
녕 55
 
4.3%
마 51
 
4.0%
트 45
 
3.5%
지 40
 
3.2%
븐 27
 
2.1%
퍼 27
 
2.1%
슈 26
 
2.0%
유 25
 
2.0%
Other values (227) 835
65.8%
Uppercase Letter
ValueCountFrequency (%)
G 12
27.3%
S 10
22.7%
C 6
13.6%
U 3
 
6.8%
O 3
 
6.8%
M 2
 
4.5%
R 2
 
4.5%
I 1
 
2.3%
A 1
 
2.3%
N 1
 
2.3%
Other values (3) 3
 
6.8%
Decimal Number
ValueCountFrequency (%)
2 26
44.8%
5 15
25.9%
4 10
 
17.2%
1 4
 
6.9%
9 1
 
1.7%
6 1
 
1.7%
8 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
r 1
16.7%
s 1
16.7%
i 1
16.7%
t 1
16.7%
Space Separator
ValueCountFrequency (%)
79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1269
85.0%
Common 174
 
11.7%
Latin 50
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 79
 
6.2%
창 59
 
4.6%
녕 55
 
4.3%
마 51
 
4.0%
트 45
 
3.5%
지 40
 
3.2%
븐 27
 
2.1%
퍼 27
 
2.1%
슈 26
 
2.0%
유 25
 
2.0%
Other values (227) 835
65.8%
Latin
ValueCountFrequency (%)
G 12
24.0%
S 10
20.0%
C 6
12.0%
U 3
 
6.0%
O 3
 
6.0%
M 2
 
4.0%
R 2
 
4.0%
a 2
 
4.0%
I 1
 
2.0%
A 1
 
2.0%
Other values (8) 8
16.0%
Common
ValueCountFrequency (%)
79
45.4%
2 26
 
14.9%
) 18
 
10.3%
( 18
 
10.3%
5 15
 
8.6%
4 10
 
5.7%
1 4
 
2.3%
9 1
 
0.6%
. 1
 
0.6%
6 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1269
85.0%
ASCII 224
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
35.3%
2 26
 
11.6%
) 18
 
8.0%
( 18
 
8.0%
5 15
 
6.7%
G 12
 
5.4%
S 10
 
4.5%
4 10
 
4.5%
C 6
 
2.7%
1 4
 
1.8%
Other values (19) 26
 
11.6%
Hangul
ValueCountFrequency (%)
점 79
 
6.2%
창 59
 
4.6%
녕 55
 
4.3%
마 51
 
4.0%
트 45
 
3.5%
지 40
 
3.2%
븐 27
 
2.1%
퍼 27
 
2.1%
슈 26
 
2.0%
유 25
 
2.0%
Other values (227) 835
65.8%

업소지번주소
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:17:31.998630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length24.004695
Min length1

Characters and Unicode

Total characters5113
Distinct characters146
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

Unique213 ?
Unique (%)100.0%

Sample

1st row경상남도 창녕군 이방면 장천리 2-7
2nd row경상남도 창녕군 창녕읍 조산리 104
3rd row경상남도 창녕군 계성면 계성리 186-3
4th row경상남도 창녕군 창녕읍 말흘리 198-20
5th row경상남도 창녕군 창녕읍 술정리 177-5
ValueCountFrequency (%)
경상남도 212
 
17.8%
창녕군 212
 
17.8%
창녕읍 60
 
5.0%
남지읍 38
 
3.2%
남지리 28
 
2.3%
부곡면 25
 
2.1%
영산면 24
 
2.0%
1호 23
 
1.9%
대합면 17
 
1.4%
교리 16
 
1.3%
Other values (326) 539
45.1%
2023-12-11T09:17:32.835739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
996
19.5%
남 281
 
5.5%
녕 275
 
5.4%
창 273
 
5.3%
도 224
 
4.4%
상 216
 
4.2%
군 212
 
4.1%
경 212
 
4.1%
지 211
 
4.1%
리 209
 
4.1%
Other values (136) 2004
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3178
62.2%
Space Separator 996
 
19.5%
Decimal Number 863
 
16.9%
Dash Punctuation 69
 
1.3%
Other Punctuation 3
 
0.1%
Uppercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 281
 
8.8%
녕 275
 
8.7%
창 273
 
8.6%
도 224
 
7.0%
상 216
 
6.8%
군 212
 
6.7%
경 212
 
6.7%
지 211
 
6.6%
리 209
 
6.6%
번 135
 
4.2%
Other values (120) 930
29.3%
Decimal Number
ValueCountFrequency (%)
1 173
20.0%
2 126
14.6%
3 102
11.8%
5 80
9.3%
4 69
 
8.0%
9 68
 
7.9%
6 68
 
7.9%
0 64
 
7.4%
7 57
 
6.6%
8 56
 
6.5%
Space Separator
ValueCountFrequency (%)
996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3178
62.2%
Common 1933
37.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 281
 
8.8%
녕 275
 
8.7%
창 273
 
8.6%
도 224
 
7.0%
상 216
 
6.8%
군 212
 
6.7%
경 212
 
6.7%
지 211
 
6.6%
리 209
 
6.6%
번 135
 
4.2%
Other values (120) 930
29.3%
Common
ValueCountFrequency (%)
996
51.5%
1 173
 
8.9%
2 126
 
6.5%
3 102
 
5.3%
5 80
 
4.1%
4 69
 
3.6%
- 69
 
3.6%
9 68
 
3.5%
6 68
 
3.5%
0 64
 
3.3%
Other values (5) 118
 
6.1%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3178
62.2%
ASCII 1935
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
996
51.5%
1 173
 
8.9%
2 126
 
6.5%
3 102
 
5.3%
5 80
 
4.1%
4 69
 
3.6%
- 69
 
3.6%
9 68
 
3.5%
6 68
 
3.5%
0 64
 
3.3%
Other values (6) 120
 
6.2%
Hangul
ValueCountFrequency (%)
남 281
 
8.8%
녕 275
 
8.7%
창 273
 
8.6%
도 224
 
7.0%
상 216
 
6.8%
군 212
 
6.7%
경 212
 
6.7%
지 211
 
6.6%
리 209
 
6.6%
번 135
 
4.2%
Other values (120) 930
29.3%

업소도로명주소
Text

Distinct212
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:17:33.283658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length21.70892
Min length1

Characters and Unicode

Total characters4624
Distinct characters151
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

Unique211 ?
Unique (%)99.1%

Sample

1st row경상남도 창녕군 이방면 이방대합로 345-1
2nd row경상남도 창녕군 창녕읍 조산1길 26. 1층
3rd row경상남도 창녕군 계성면 영산계성로 453
4th row경상남도 창녕군 창녕읍 화왕산1로 51. 1층
5th row경상남도 창녕군 창녕읍 창녕대로 99-1
ValueCountFrequency (%)
경상남도 211
19.3%
창녕군 211
19.3%
창녕읍 61
 
5.6%
남지읍 38
 
3.5%
부곡면 25
 
2.3%
영산면 25
 
2.3%
대합면 17
 
1.6%
낙동로 13
 
1.2%
창녕대로 13
 
1.2%
명덕로 10
 
0.9%
Other values (289) 472
43.1%
2023-12-11T09:17:33.840339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
887
19.2%
창 302
 
6.5%
녕 292
 
6.3%
남 269
 
5.8%
도 223
 
4.8%
상 215
 
4.6%
경 215
 
4.6%
군 213
 
4.6%
1 167
 
3.6%
로 139
 
3.0%
Other values (141) 1702
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3033
65.6%
Space Separator 887
 
19.2%
Decimal Number 630
 
13.6%
Dash Punctuation 33
 
0.7%
Other Punctuation 28
 
0.6%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 302
 
10.0%
녕 292
 
9.6%
남 269
 
8.9%
도 223
 
7.4%
상 215
 
7.1%
경 215
 
7.1%
군 213
 
7.0%
로 139
 
4.6%
면 112
 
3.7%
읍 99
 
3.3%
Other values (125) 954
31.5%
Decimal Number
ValueCountFrequency (%)
1 167
26.5%
2 72
11.4%
4 68
10.8%
5 61
 
9.7%
3 57
 
9.0%
0 54
 
8.6%
6 48
 
7.6%
9 43
 
6.8%
8 30
 
4.8%
7 30
 
4.8%
Space Separator
ValueCountFrequency (%)
887
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3033
65.6%
Common 1590
34.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 302
 
10.0%
녕 292
 
9.6%
남 269
 
8.9%
도 223
 
7.4%
상 215
 
7.1%
경 215
 
7.1%
군 213
 
7.0%
로 139
 
4.6%
면 112
 
3.7%
읍 99
 
3.3%
Other values (125) 954
31.5%
Common
ValueCountFrequency (%)
887
55.8%
1 167
 
10.5%
2 72
 
4.5%
4 68
 
4.3%
5 61
 
3.8%
3 57
 
3.6%
0 54
 
3.4%
6 48
 
3.0%
9 43
 
2.7%
- 33
 
2.1%
Other values (5) 100
 
6.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3033
65.6%
ASCII 1591
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
887
55.8%
1 167
 
10.5%
2 72
 
4.5%
4 68
 
4.3%
5 61
 
3.8%
3 57
 
3.6%
0 54
 
3.4%
6 48
 
3.0%
9 43
 
2.7%
- 33
 
2.1%
Other values (6) 101
 
6.3%
Hangul
ValueCountFrequency (%)
창 302
 
10.0%
녕 292
 
9.6%
남 269
 
8.9%
도 223
 
7.4%
상 215
 
7.1%
경 215
 
7.1%
군 213
 
7.0%
로 139
 
4.6%
면 112
 
3.7%
읍 99
 
3.3%
Other values (125) 954
31.5%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
정상영업
213 

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 213
100.0%

Length

2023-12-11T09:17:33.988771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:34.119449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 213
100.0%

지정일자
Date

Distinct181
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1989-04-20 00:00:00
Maximum2023-01-20 00:00:00
2023-12-11T09:17:34.240457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:17:34.405046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-04-04
213 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-04
2nd row2023-04-04
3rd row2023-04-04
4th row2023-04-04
5th row2023-04-04

Common Values

ValueCountFrequency (%)
2023-04-04 213
100.0%

Length

2023-12-11T09:17:34.558406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:34.645461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-04 213
100.0%

Missing values

2023-12-11T09:17:30.457400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:17:30.599962image/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

시군명소매인구분업소명업소지번주소업소도로명주소영업상태지정일자데이터기준일자
0경상남도 창녕군담배사업법 담배사업법 제7조의3제2항에따른경우(주)코리아세븐 창녕이방옥야점경상남도 창녕군 이방면 장천리 2-7경상남도 창녕군 이방면 이방대합로 345-1정상영업2023-01-202023-04-04
1경상남도 창녕군담배사업법 제7조의3제2항에따른경우지에스(GS)25 창녕넥센점경상남도 창녕군 창녕읍 조산리 104경상남도 창녕군 창녕읍 조산1길 26. 1층정상영업2022-12-062023-04-04
2경상남도 창녕군담배사업법 제7조의3제2항에따른경우씨유창녕계성힐마루점경상남도 창녕군 계성면 계성리 186-3경상남도 창녕군 계성면 영산계성로 453정상영업2022-11-242023-04-04
3경상남도 창녕군담배사업법 제7조의3제2항에따른경우지에스(GS)25 창녕화왕점경상남도 창녕군 창녕읍 말흘리 198-20경상남도 창녕군 창녕읍 화왕산1로 51. 1층정상영업2022-10-172023-04-04
4경상남도 창녕군담배사업법 제7조의3제2항에따른경우세븐일레븐 창녕서호점경상남도 창녕군 창녕읍 술정리 177-5경상남도 창녕군 창녕읍 창녕대로 99-1정상영업2022-10-112023-04-04
5경상남도 창녕군담배사업법 제7조의3제2항에따른경우마로니에경상남도 창녕군 창녕읍 옥천리 901-4경상남도 창녕군 창녕읍 계성화왕산로 491정상영업2022-08-302023-04-04
6경상남도 창녕군담배사업법 제7조의3제2항에따른경우(주)코리아세븐 창녕남지중앙점경상남도 창녕군 남지읍 남지리 663-26경상남도 창녕군 남지읍 낙동로 488정상영업2022-08-232023-04-04
7경상남도 창녕군담배사업법 제7조의3제2항에따른경우(주)코리아세븐 창녕남지유채점경상남도 창녕군 남지읍 남지리 979-1경상남도 창녕군 남지읍 남지중앙1길 56정상영업2022-07-192023-04-04
8경상남도 창녕군담배사업법 제7조의3제2항에따른경우지에스(GS)25 창녕석빙고점경상남도 창녕군 창녕읍 교리 245경상남도 창녕군 창녕읍 명덕로 79정상영업2022-07-182023-04-04
9경상남도 창녕군담배사업법 제7조의3제2항에따른경우화왕산캠프편의점경상남도 창녕군 계성면 사리 695경상남도 창녕군 계성면 계성화왕산로 235정상영업2022-06-272023-04-04
시군명소매인구분업소명업소지번주소업소도로명주소영업상태지정일자데이터기준일자
203경상남도 창녕군<NA>경상남도 창녕군 영산면 교리 107번지 3호경상남도 창녕군 영산면 옹성마당길 45정상영업1989-04-202023-04-04
204경상남도 창녕군부산침구사경상남도 창녕군 영산면 성내리 512-4번지경상남도 창녕군 영산면 유다리길 5-1정상영업1989-04-202023-04-04
205경상남도 창녕군명리상회경상남도 창녕군 영산면 성내리 603번지 4호경상남도 창녕군 영산면 영산새싹길 1정상영업1989-04-202023-04-04
206경상남도 창녕군영산하나장식경상남도 창녕군 서리 131번지 4호경상남도 창녕군 영산면 영산중앙길 19-1정상영업1989-04-202023-04-04
207경상남도 창녕군학우사경상남도 창녕군 영산면 서리 223번지 4호경상남도 창녕군 영산면 영산새싹길 30정상영업1989-04-202023-04-04
208경상남도 창녕군동문슈퍼경상남도 창녕군 영산면 월령리 990번지경상남도 창녕군 영산면 월령윗길 9정상영업1989-04-202023-04-04
209경상남도 창녕군<NA>경상남도 창녕군 장마면 강리 806번지 7호경상남도 창녕군 장마면 강리길 27정상영업1989-04-202023-04-04
210경상남도 창녕군<NA>경상남도 창녕군 도천면 일리 552번지 4호경상남도 창녕군 도천면 도천중앙로 21정상영업1989-10-062023-04-04
211경상남도 창녕군<NA>경상남도 창녕군 창녕읍 송현리 261번지 21호경상남도 창녕군 창녕읍 창녕대동길 42정상영업1989-04-202023-04-04
212경상남도 창녕군샛별문구사경상남도 창녕군 창녕읍 교리 259-1번지경상남도 창녕군 창녕읍 명덕로 70-1정상영업1989-04-202023-04-04