Overview

Dataset statistics

Number of variables8
Number of observations248
Missing cells103
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory64.5 B

Variable types

Text4
Categorical2
DateTime2

Dataset

Description경상북도 영덕군 담배소매인 업소명,위치,전화번호, 민원구분, 영업구분, 지정일자 등 관련 정보를 아래와 같이 제공하고자 합니다.
Author경상북도 영덕군
URLhttps://www.data.go.kr/data/15038757/fileData.do

Alerts

영업구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소전화번호 has 103 (41.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:52:47.555906
Analysis finished2023-12-12 06:52:48.101181
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct195
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:52:48.241582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length6.1209677
Min length1

Characters and Unicode

Total characters1518
Distinct characters248
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

Unique188 ?
Unique (%)75.8%

Sample

1st row보경마트
2nd row해파랑
3rd row만나슈퍼
4th row송죽낚시
5th row바다 마트
ValueCountFrequency (%)
세븐일레븐 14
 
5.0%
없음 8
 
2.9%
씨유 6
 
2.1%
gs25 6
 
2.1%
영덕점 5
 
1.8%
영덕중앙점 4
 
1.4%
이마트24 4
 
1.4%
영덕우곡점 4
 
1.4%
하나로마트 4
 
1.4%
씨스페이스 3
 
1.1%
Other values (205) 222
79.3%
2023-12-12T15:52:48.591688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
7.6%
점 81
 
5.3%
영 65
 
4.3%
덕 59
 
3.9%
마 43
 
2.8%
트 41
 
2.7%
븐 29
 
1.9%
해 23
 
1.5%
퍼 21
 
1.4%
구 20
 
1.3%
Other values (238) 1020
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1298
85.5%
Space Separator 116
 
7.6%
Decimal Number 42
 
2.8%
Uppercase Letter 37
 
2.4%
Close Punctuation 11
 
0.7%
Open Punctuation 11
 
0.7%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 81
 
6.2%
영 65
 
5.0%
덕 59
 
4.5%
마 43
 
3.3%
트 41
 
3.2%
븐 29
 
2.2%
해 23
 
1.8%
퍼 21
 
1.6%
구 20
 
1.5%
일 20
 
1.5%
Other values (216) 896
69.0%
Decimal Number
ValueCountFrequency (%)
2 17
40.5%
5 11
26.2%
4 5
 
11.9%
9 3
 
7.1%
1 2
 
4.8%
7 2
 
4.8%
8 1
 
2.4%
3 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
G 11
29.7%
S 10
27.0%
C 6
16.2%
U 5
13.5%
R 2
 
5.4%
W 1
 
2.7%
J 1
 
2.7%
M 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1298
85.5%
Common 181
 
11.9%
Latin 39
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 81
 
6.2%
영 65
 
5.0%
덕 59
 
4.5%
마 43
 
3.3%
트 41
 
3.2%
븐 29
 
2.2%
해 23
 
1.8%
퍼 21
 
1.6%
구 20
 
1.5%
일 20
 
1.5%
Other values (216) 896
69.0%
Common
ValueCountFrequency (%)
116
64.1%
2 17
 
9.4%
) 11
 
6.1%
5 11
 
6.1%
( 11
 
6.1%
4 5
 
2.8%
9 3
 
1.7%
1 2
 
1.1%
7 2
 
1.1%
. 1
 
0.6%
Other values (2) 2
 
1.1%
Latin
ValueCountFrequency (%)
G 11
28.2%
S 10
25.6%
C 6
15.4%
U 5
12.8%
R 2
 
5.1%
s 1
 
2.6%
k 1
 
2.6%
W 1
 
2.6%
J 1
 
2.6%
M 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1298
85.5%
ASCII 220
 
14.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
52.7%
2 17
 
7.7%
) 11
 
5.0%
G 11
 
5.0%
5 11
 
5.0%
( 11
 
5.0%
S 10
 
4.5%
C 6
 
2.7%
4 5
 
2.3%
U 5
 
2.3%
Other values (12) 17
 
7.7%
Hangul
ValueCountFrequency (%)
점 81
 
6.2%
영 65
 
5.0%
덕 59
 
4.5%
마 43
 
3.3%
트 41
 
3.2%
븐 29
 
2.2%
해 23
 
1.8%
퍼 21
 
1.6%
구 20
 
1.5%
일 20
 
1.5%
Other values (216) 896
69.0%

업소지번주소
Text

Distinct229
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:52:48.813174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.491935
Min length1

Characters and Unicode

Total characters5826
Distinct characters114
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)91.1%

Sample

1st row경상북도 영덕군 영덕읍 우곡리 333-2 보경할인마트
2nd row경상북도 영덕군 영덕읍 창포리 329-3
3rd row경상북도 영덕군 강구면 하저리 87
4th row경상북도 영덕군 강구면 금진리 600
5th row경상북도 영덕군 병곡면 병곡리 58-27
ValueCountFrequency (%)
경상북도 230
 
17.4%
영덕군 230
 
17.4%
영덕읍 64
 
4.8%
강구면 51
 
3.8%
영해면 37
 
2.8%
호 32
 
2.4%
성내리 23
 
1.7%
남정면 22
 
1.7%
남석리 21
 
1.6%
병곡면 19
 
1.4%
Other values (317) 596
45.0%
2023-12-12T15:52:49.155021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1406
24.1%
영 335
 
5.8%
덕 311
 
5.3%
경 237
 
4.1%
도 233
 
4.0%
군 230
 
3.9%
리 230
 
3.9%
북 230
 
3.9%
상 230
 
3.9%
호 178
 
3.1%
Other values (104) 2206
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3535
60.7%
Space Separator 1406
 
24.1%
Decimal Number 830
 
14.2%
Dash Punctuation 53
 
0.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 335
 
9.5%
덕 311
 
8.8%
경 237
 
6.7%
도 233
 
6.6%
군 230
 
6.5%
리 230
 
6.5%
북 230
 
6.5%
상 230
 
6.5%
호 178
 
5.0%
면 166
 
4.7%
Other values (90) 1155
32.7%
Decimal Number
ValueCountFrequency (%)
1 141
17.0%
2 122
14.7%
3 104
12.5%
4 83
10.0%
5 77
9.3%
6 76
9.2%
8 66
8.0%
0 63
7.6%
7 58
7.0%
9 40
 
4.8%
Space Separator
ValueCountFrequency (%)
1406
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3535
60.7%
Common 2291
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 335
 
9.5%
덕 311
 
8.8%
경 237
 
6.7%
도 233
 
6.6%
군 230
 
6.5%
리 230
 
6.5%
북 230
 
6.5%
상 230
 
6.5%
호 178
 
5.0%
면 166
 
4.7%
Other values (90) 1155
32.7%
Common
ValueCountFrequency (%)
1406
61.4%
1 141
 
6.2%
2 122
 
5.3%
3 104
 
4.5%
4 83
 
3.6%
5 77
 
3.4%
6 76
 
3.3%
8 66
 
2.9%
0 63
 
2.7%
7 58
 
2.5%
Other values (4) 95
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3535
60.7%
ASCII 2291
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1406
61.4%
1 141
 
6.2%
2 122
 
5.3%
3 104
 
4.5%
4 83
 
3.6%
5 77
 
3.4%
6 76
 
3.3%
8 66
 
2.9%
0 63
 
2.7%
7 58
 
2.5%
Other values (4) 95
 
4.1%
Hangul
ValueCountFrequency (%)
영 335
 
9.5%
덕 311
 
8.8%
경 237
 
6.7%
도 233
 
6.6%
군 230
 
6.5%
리 230
 
6.5%
북 230
 
6.5%
상 230
 
6.5%
호 178
 
5.0%
면 166
 
4.7%
Other values (90) 1155
32.7%

업소도로명주소
Text

Distinct171
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:52:49.414283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length16.08871
Min length1

Characters and Unicode

Total characters3990
Distinct characters124
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)64.9%

Sample

1st row경상북도 영덕군 영덕읍 우곡길 24. 보경할인마트
2nd row경상북도 영덕군 영덕읍 해맞이길 254-20. 1층
3rd row경상북도 영덕군 강구면 영덕대게로 497
4th row경상북도 영덕군 강구면 영덕대게로 231
5th row경상북도 영덕군 병곡면 고래불로 394
ValueCountFrequency (%)
경상북도 179
19.5%
영덕군 179
19.5%
영덕읍 53
 
5.8%
강구면 45
 
4.9%
동해대로 32
 
3.5%
영덕대게로 26
 
2.8%
남정면 22
 
2.4%
영해면 21
 
2.3%
병곡면 16
 
1.7%
축산면 15
 
1.6%
Other values (216) 331
36.0%
2023-12-12T15:52:49.726679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
809
20.3%
영 287
 
7.2%
덕 271
 
6.8%
상 185
 
4.6%
경 183
 
4.6%
군 183
 
4.6%
도 181
 
4.5%
북 179
 
4.5%
면 126
 
3.2%
1 119
 
3.0%
Other values (114) 1467
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2558
64.1%
Space Separator 809
 
20.3%
Decimal Number 564
 
14.1%
Dash Punctuation 32
 
0.8%
Other Punctuation 17
 
0.4%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 287
 
11.2%
덕 271
 
10.6%
상 185
 
7.2%
경 183
 
7.2%
군 183
 
7.2%
도 181
 
7.1%
북 179
 
7.0%
면 126
 
4.9%
길 102
 
4.0%
로 77
 
3.0%
Other values (99) 784
30.6%
Decimal Number
ValueCountFrequency (%)
1 119
21.1%
2 71
12.6%
4 70
12.4%
3 61
10.8%
6 48
8.5%
0 47
 
8.3%
8 42
 
7.4%
7 42
 
7.4%
5 32
 
5.7%
9 32
 
5.7%
Space Separator
ValueCountFrequency (%)
809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2558
64.1%
Common 1432
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 287
 
11.2%
덕 271
 
10.6%
상 185
 
7.2%
경 183
 
7.2%
군 183
 
7.2%
도 181
 
7.1%
북 179
 
7.0%
면 126
 
4.9%
길 102
 
4.0%
로 77
 
3.0%
Other values (99) 784
30.6%
Common
ValueCountFrequency (%)
809
56.5%
1 119
 
8.3%
2 71
 
5.0%
4 70
 
4.9%
3 61
 
4.3%
6 48
 
3.4%
0 47
 
3.3%
8 42
 
2.9%
7 42
 
2.9%
5 32
 
2.2%
Other values (5) 91
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2558
64.1%
ASCII 1432
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
809
56.5%
1 119
 
8.3%
2 71
 
5.0%
4 70
 
4.9%
3 61
 
4.3%
6 48
 
3.4%
0 47
 
3.3%
8 42
 
2.9%
7 42
 
2.9%
5 32
 
2.2%
Other values (5) 91
 
6.4%
Hangul
ValueCountFrequency (%)
영 287
 
11.2%
덕 271
 
10.6%
상 185
 
7.2%
경 183
 
7.2%
군 183
 
7.2%
도 181
 
7.1%
북 179
 
7.0%
면 126
 
4.9%
길 102
 
4.0%
로 77
 
3.0%
Other values (99) 784
30.6%

업소전화번호
Text

MISSING 

Distinct114
Distinct (%)78.6%
Missing103
Missing (%)41.5%
Memory size2.1 KiB
2023-12-12T15:52:49.944557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length9.7241379
Min length1

Characters and Unicode

Total characters1410
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

Unique112 ?
Unique (%)77.2%

Sample

1st row054-734-6678
2nd row054-734-7900
3rd row054-734-5665
4th row054-732-8300
5th row054-734-3271
ValueCountFrequency (%)
054-734-6678 3
 
2.6%
054-733-1749 1
 
0.9%
054-733-4412 1
 
0.9%
054-734-4874 1
 
0.9%
054-733-9696 1
 
0.9%
054-732-6456 1
 
0.9%
054-732-0698 1
 
0.9%
054-732-4202 1
 
0.9%
054-734-5505 1
 
0.9%
054-734-2751 1
 
0.9%
Other values (103) 103
89.6%
2023-12-12T15:52:50.339358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 230
16.3%
3 207
14.7%
4 180
12.8%
0 179
12.7%
5 162
11.5%
7 156
11.1%
2 91
 
6.5%
6 67
 
4.8%
9 40
 
2.8%
1 39
 
2.8%
Other values (2) 59
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1150
81.6%
Dash Punctuation 230
 
16.3%
Space Separator 30
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 207
18.0%
4 180
15.7%
0 179
15.6%
5 162
14.1%
7 156
13.6%
2 91
7.9%
6 67
 
5.8%
9 40
 
3.5%
1 39
 
3.4%
8 29
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 230
16.3%
3 207
14.7%
4 180
12.8%
0 179
12.7%
5 162
11.5%
7 156
11.1%
2 91
 
6.5%
6 67
 
4.8%
9 40
 
2.8%
1 39
 
2.8%
Other values (2) 59
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 230
16.3%
3 207
14.7%
4 180
12.8%
0 179
12.7%
5 162
11.5%
7 156
11.1%
2 91
 
6.5%
6 67
 
4.8%
9 40
 
2.8%
1 39
 
2.8%
Other values (2) 59
 
4.2%

민원구분
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
제7조의3제2항에따른경우
121 
118 
제7조의3제3항에따른경우
 
9

Length

Max length13
Median length13
Mean length7.2903226
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 121
48.8%
118
47.6%
제7조의3제3항에따른경우 9
 
3.6%

Length

2023-12-12T15:52:50.493490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:52:50.583233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 121
93.1%
제7조의3제3항에따른경우 9
 
6.9%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
정상영업
248 

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 248
100.0%

Length

2023-12-12T15:52:50.680359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:52:50.827462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 248
100.0%

지정일자
Date

Distinct226
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1978-07-01 00:00:00
Maximum2021-08-19 00:00:00
2023-12-12T15:52:50.937869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:52:51.102845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2022-08-25 00:00:00
Maximum2022-08-25 00:00:00
2023-12-12T15:52:51.246628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:52:51.329792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T15:52:47.919892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:52:48.053286image/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

업소명업소지번주소업소도로명주소업소전화번호민원구분영업구분지정일자데이터기준일자
0보경마트경상북도 영덕군 영덕읍 우곡리 333-2 보경할인마트경상북도 영덕군 영덕읍 우곡길 24. 보경할인마트054-734-6678제7조의3제2항에따른경우정상영업2021-08-192022-08-25
1해파랑경상북도 영덕군 영덕읍 창포리 329-3경상북도 영덕군 영덕읍 해맞이길 254-20. 1층<NA>제7조의3제2항에따른경우정상영업2021-08-182022-08-25
2만나슈퍼경상북도 영덕군 강구면 하저리 87경상북도 영덕군 강구면 영덕대게로 497<NA>제7조의3제2항에따른경우정상영업2021-07-222022-08-25
3송죽낚시경상북도 영덕군 강구면 금진리 600경상북도 영덕군 강구면 영덕대게로 231<NA>제7조의3제2항에따른경우정상영업2021-07-202022-08-25
4바다 마트경상북도 영덕군 병곡면 병곡리 58-27경상북도 영덕군 병곡면 고래불로 394<NA>제7조의3제2항에따른경우정상영업2021-07-202022-08-25
5세븐일레븐 영덕우곡점경상북도 영덕군 영덕읍 우곡리 330-2경상북도 영덕군 영덕읍 읍사무소1길 23<NA>제7조의3제2항에따른경우정상영업2021-07-162022-08-25
6국군복지단 대구지원본부 장사소초마트경상북도 영덕군 남정면 부흥리 16경상북도 영덕군 남정면 동해대로 3742<NA>제7조의3제2항에따른경우정상영업2021-07-092022-08-25
7국군복지단 대구지원본부 병곡소초마트경상북도 영덕군 병곡면 거무역리 5-94경상북도 영덕군 병곡면 고래불로 212<NA>제7조의3제2항에따른경우정상영업2021-07-092022-08-25
8영덕식자재마트경상북도 영덕군 영덕읍 우곡리 313-2054-734-7900제7조의3제2항에따른경우정상영업2021-06-302022-08-25
9세븐일레븐 7번 만남의 광장점경상북도 영덕군 남정면 원척리 220-4 청와대경상북도 영덕군 남정면 동해대로 3798. 청와대<NA>제7조의3제2항에따른경우정상영업2021-03-242022-08-25
업소명업소지번주소업소도로명주소업소전화번호민원구분영업구분지정일자데이터기준일자
238없음경상북도 영덕군 강구면 삼사리 246번지 5호 8통 4반경상북도 영덕군 강구면 강구해안길 47054-733-4703정상영업1978-07-012022-08-25
239덕화상회경상북도 영덕군 강구면 오포리 3번지 45호 7통 5반경상북도 영덕군 강구면 신강구2길 6054-733-4379정상영업1979-07-012022-08-25
240경상북도 영덕군 영해면 괴시리 507호정상영업1979-07-012022-08-25
241경상북도 영덕군 영해면 성내리 468-18호정상영업1979-12-222022-08-25
242경상북도 영덕군 달산면 옥산리 298호정상영업1979-07-012022-08-25
243경상북도 영덕군 남정면 장사리 234호경상북도 영덕군 남정면 진불3길 5정상영업1979-07-012022-08-25
244경상북도 영덕군 강구면 강구리 253번지 21 호정상영업1979-07-012022-08-25
245경상북도 영덕군 강구면 삼사리 245호정상영업1979-07-012022-08-25
246경상북도 영덕군 강구면 오포리 77호정상영업1979-07-012022-08-25
247없음경상북도 영덕군 영덕읍 남석리 283호정상영업1979-07-012022-08-25