Overview

Dataset statistics

Number of variables8
Number of observations935
Missing cells32
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.6 KiB
Average record size in memory64.1 B

Variable types

Categorical2
DateTime3
Text3

Dataset

Description정선군 음식점 현황 - (업종명, 인허가일자, 업소명, 소재지(도로명), 소재지(지번), 영업자시작일 , 업태명, 데이터기준일자 등)
URLhttps://www.data.go.kr/data/15017263/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지(도로명) has 32 (3.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:12:00.878764
Analysis finished2023-12-12 23:12:01.831367
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
일반음식점
935 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 935
100.0%

Length

2023-12-13T08:12:02.193862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:12:02.273230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 935
100.0%
Distinct837
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum1968-02-24 00:00:00
Maximum2023-06-09 00:00:00
2023-12-13T08:12:02.372129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:12:02.505486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct907
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T08:12:02.838255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length5.5433155
Min length1

Characters and Unicode

Total characters5183
Distinct characters565
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)94.5%

Sample

1st row낙원식당
2nd row우리식당
3rd row나드리김밥 정선점
4th row한우식당
5th row통일식당
ValueCountFrequency (%)
식당 12
 
1.1%
정선점 11
 
1.0%
사북고한점 6
 
0.5%
페리카나치킨 5
 
0.4%
cafe 4
 
0.4%
2호점 4
 
0.4%
가든 3
 
0.3%
카페 3
 
0.3%
칼국수 3
 
0.3%
아리랑식당 3
 
0.3%
Other values (1009) 1068
95.2%
2023-12-13T08:12:03.375179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
3.8%
188
 
3.6%
171
 
3.3%
108
 
2.1%
103
 
2.0%
91
 
1.8%
86
 
1.7%
77
 
1.5%
66
 
1.3%
65
 
1.3%
Other values (555) 4029
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4719
91.0%
Space Separator 188
 
3.6%
Lowercase Letter 83
 
1.6%
Uppercase Letter 67
 
1.3%
Decimal Number 55
 
1.1%
Open Punctuation 26
 
0.5%
Close Punctuation 26
 
0.5%
Other Punctuation 17
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
199
 
4.2%
171
 
3.6%
108
 
2.3%
103
 
2.2%
91
 
1.9%
86
 
1.8%
77
 
1.6%
66
 
1.4%
65
 
1.4%
65
 
1.4%
Other values (499) 3688
78.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
 
11.9%
E 7
 
10.4%
C 7
 
10.4%
H 4
 
6.0%
A 4
 
6.0%
S 4
 
6.0%
N 4
 
6.0%
U 3
 
4.5%
R 3
 
4.5%
T 3
 
4.5%
Other values (11) 20
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
19.3%
a 10
12.0%
f 8
9.6%
n 6
 
7.2%
c 5
 
6.0%
o 5
 
6.0%
l 5
 
6.0%
h 4
 
4.8%
r 4
 
4.8%
t 4
 
4.8%
Other values (9) 16
19.3%
Decimal Number
ValueCountFrequency (%)
2 15
27.3%
0 8
14.5%
1 7
12.7%
8 6
 
10.9%
3 6
 
10.9%
5 5
 
9.1%
9 4
 
7.3%
6 4
 
7.3%
Other Punctuation
ValueCountFrequency (%)
& 10
58.8%
. 4
 
23.5%
' 2
 
11.8%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4716
91.0%
Common 314
 
6.1%
Latin 150
 
2.9%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
199
 
4.2%
171
 
3.6%
108
 
2.3%
103
 
2.2%
91
 
1.9%
86
 
1.8%
77
 
1.6%
66
 
1.4%
65
 
1.4%
65
 
1.4%
Other values (496) 3685
78.1%
Latin
ValueCountFrequency (%)
e 16
 
10.7%
a 10
 
6.7%
f 8
 
5.3%
B 8
 
5.3%
E 7
 
4.7%
C 7
 
4.7%
n 6
 
4.0%
c 5
 
3.3%
o 5
 
3.3%
l 5
 
3.3%
Other values (30) 73
48.7%
Common
ValueCountFrequency (%)
188
59.9%
( 26
 
8.3%
) 26
 
8.3%
2 15
 
4.8%
& 10
 
3.2%
0 8
 
2.5%
1 7
 
2.2%
8 6
 
1.9%
3 6
 
1.9%
5 5
 
1.6%
Other values (6) 17
 
5.4%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4716
91.0%
ASCII 463
 
8.9%
CJK 3
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
199
 
4.2%
171
 
3.6%
108
 
2.3%
103
 
2.2%
91
 
1.9%
86
 
1.8%
77
 
1.6%
66
 
1.4%
65
 
1.4%
65
 
1.4%
Other values (496) 3685
78.1%
ASCII
ValueCountFrequency (%)
188
40.6%
( 26
 
5.6%
) 26
 
5.6%
e 16
 
3.5%
2 15
 
3.2%
a 10
 
2.2%
& 10
 
2.2%
f 8
 
1.7%
0 8
 
1.7%
B 8
 
1.7%
Other values (45) 148
32.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct847
Distinct (%)93.8%
Missing32
Missing (%)3.4%
Memory size7.4 KiB
2023-12-13T08:12:03.804570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length25.717608
Min length21

Characters and Unicode

Total characters23223
Distinct characters214
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

Unique798 ?
Unique (%)88.4%

Sample

1st row강원특별자치도 정선군 고한읍 고한6길 18
2nd row강원특별자치도 정선군 임계면 백두대간로 1366
3rd row강원특별자치도 정선군 정선읍 정선로 1351-1
4th row강원특별자치도 정선군 정선읍 5일장길 26
5th row강원특별자치도 정선군 신동읍 함백로 56
ValueCountFrequency (%)
강원특별자치도 903
18.6%
정선군 903
18.6%
정선읍 249
 
5.1%
사북읍 180
 
3.7%
고한읍 166
 
3.4%
1층 146
 
3.0%
사북중앙로 85
 
1.7%
남면 69
 
1.4%
임계면 69
 
1.4%
5일장길 59
 
1.2%
Other values (732) 2038
41.9%
2023-12-13T08:12:04.414698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3964
 
17.1%
1199
 
5.2%
1192
 
5.1%
975
 
4.2%
949
 
4.1%
921
 
4.0%
908
 
3.9%
906
 
3.9%
905
 
3.9%
904
 
3.9%
Other values (204) 10400
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15484
66.7%
Space Separator 3964
 
17.1%
Decimal Number 3155
 
13.6%
Dash Punctuation 289
 
1.2%
Other Punctuation 251
 
1.1%
Close Punctuation 36
 
0.2%
Open Punctuation 36
 
0.2%
Uppercase Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1199
 
7.7%
1192
 
7.7%
975
 
6.3%
949
 
6.1%
921
 
5.9%
908
 
5.9%
906
 
5.9%
905
 
5.8%
904
 
5.8%
903
 
5.8%
Other values (183) 5722
37.0%
Decimal Number
ValueCountFrequency (%)
1 764
24.2%
2 461
14.6%
5 383
12.1%
3 364
11.5%
6 269
 
8.5%
4 213
 
6.8%
7 209
 
6.6%
8 187
 
5.9%
9 159
 
5.0%
0 146
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
D 1
20.0%
X 1
20.0%
K 1
20.0%
V 1
20.0%
Space Separator
ValueCountFrequency (%)
3964
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Other Punctuation
ValueCountFrequency (%)
, 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15484
66.7%
Common 7734
33.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1199
 
7.7%
1192
 
7.7%
975
 
6.3%
949
 
6.1%
921
 
5.9%
908
 
5.9%
906
 
5.9%
905
 
5.8%
904
 
5.8%
903
 
5.8%
Other values (183) 5722
37.0%
Common
ValueCountFrequency (%)
3964
51.3%
1 764
 
9.9%
2 461
 
6.0%
5 383
 
5.0%
3 364
 
4.7%
- 289
 
3.7%
6 269
 
3.5%
, 251
 
3.2%
4 213
 
2.8%
7 209
 
2.7%
Other values (6) 567
 
7.3%
Latin
ValueCountFrequency (%)
T 1
20.0%
D 1
20.0%
X 1
20.0%
K 1
20.0%
V 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15484
66.7%
ASCII 7739
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3964
51.2%
1 764
 
9.9%
2 461
 
6.0%
5 383
 
4.9%
3 364
 
4.7%
- 289
 
3.7%
6 269
 
3.5%
, 251
 
3.2%
4 213
 
2.8%
7 209
 
2.7%
Other values (11) 572
 
7.4%
Hangul
ValueCountFrequency (%)
1199
 
7.7%
1192
 
7.7%
975
 
6.3%
949
 
6.1%
921
 
5.9%
908
 
5.9%
906
 
5.9%
905
 
5.8%
904
 
5.8%
903
 
5.8%
Other values (183) 5722
37.0%
Distinct796
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T08:12:04.710509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length44
Mean length26.964706
Min length18

Characters and Unicode

Total characters25212
Distinct characters175
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

Unique718 ?
Unique (%)76.8%

Sample

1st row강원특별자치도 정선군 고한읍 고한리 62-17
2nd row강원특별자치도 정선군 임계면 송계리 765-4
3rd row강원특별자치도 정선군 정선읍 봉양리 339-12
4th row강원특별자치도 정선군 정선읍 봉양리 343-7
5th row강원특별자치도 정선군 신동읍 예미리 197-1
ValueCountFrequency (%)
강원특별자치도 935
19.2%
정선군 935
19.2%
정선읍 260
 
5.3%
봉양리 192
 
3.9%
사북읍 181
 
3.7%
고한읍 177
 
3.6%
고한리 176
 
3.6%
사북리 173
 
3.5%
임계면 71
 
1.5%
남면 71
 
1.5%
Other values (885) 1709
35.0%
2023-12-13T08:12:05.136612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4838
19.2%
1203
 
4.8%
1198
 
4.8%
968
 
3.8%
941
 
3.7%
939
 
3.7%
936
 
3.7%
936
 
3.7%
935
 
3.7%
935
 
3.7%
Other values (165) 11383
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15374
61.0%
Space Separator 4838
 
19.2%
Decimal Number 4108
 
16.3%
Dash Punctuation 846
 
3.4%
Close Punctuation 17
 
0.1%
Open Punctuation 17
 
0.1%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1203
 
7.8%
1198
 
7.8%
968
 
6.3%
941
 
6.1%
939
 
6.1%
936
 
6.1%
936
 
6.1%
935
 
6.1%
935
 
6.1%
935
 
6.1%
Other values (144) 5448
35.4%
Decimal Number
ValueCountFrequency (%)
1 674
16.4%
4 583
14.2%
3 570
13.9%
2 502
12.2%
6 447
10.9%
7 320
7.8%
5 307
7.5%
9 262
 
6.4%
0 236
 
5.7%
8 207
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
F 2
33.3%
K 1
16.7%
T 1
16.7%
X 1
16.7%
G 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
4838
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 846
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15374
61.0%
Common 9832
39.0%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1203
 
7.8%
1198
 
7.8%
968
 
6.3%
941
 
6.1%
939
 
6.1%
936
 
6.1%
936
 
6.1%
935
 
6.1%
935
 
6.1%
935
 
6.1%
Other values (144) 5448
35.4%
Common
ValueCountFrequency (%)
4838
49.2%
- 846
 
8.6%
1 674
 
6.9%
4 583
 
5.9%
3 570
 
5.8%
2 502
 
5.1%
6 447
 
4.5%
7 320
 
3.3%
5 307
 
3.1%
9 262
 
2.7%
Other values (6) 483
 
4.9%
Latin
ValueCountFrequency (%)
F 2
33.3%
K 1
16.7%
T 1
16.7%
X 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15374
61.0%
ASCII 9838
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4838
49.2%
- 846
 
8.6%
1 674
 
6.9%
4 583
 
5.9%
3 570
 
5.8%
2 502
 
5.1%
6 447
 
4.5%
7 320
 
3.3%
5 307
 
3.1%
9 262
 
2.7%
Other values (11) 489
 
5.0%
Hangul
ValueCountFrequency (%)
1203
 
7.8%
1198
 
7.8%
968
 
6.3%
941
 
6.1%
939
 
6.1%
936
 
6.1%
936
 
6.1%
935
 
6.1%
935
 
6.1%
935
 
6.1%
Other values (144) 5448
35.4%
Distinct791
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum1980-04-15 00:00:00
Maximum2023-06-09 00:00:00
2023-12-13T08:12:05.278463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:12:05.413011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태명
Categorical

Distinct17
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
한식
556 
기타
134 
분식
 
48
호프/통닭
 
34
중국식
 
30
Other values (12)
133 

Length

Max length10
Median length2
Mean length2.5818182
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row한식
2nd row한식
3rd row김밥(도시락)
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 556
59.5%
기타 134
 
14.3%
분식 48
 
5.1%
호프/통닭 34
 
3.6%
중국식 30
 
3.2%
통닭(치킨) 26
 
2.8%
경양식 25
 
2.7%
식육(숯불구이) 24
 
2.6%
횟집 12
 
1.3%
정종/대포집/소주방 9
 
1.0%
Other values (7) 37
 
4.0%

Length

2023-12-13T08:12:05.544016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 556
59.5%
기타 134
 
14.3%
분식 48
 
5.1%
호프/통닭 34
 
3.6%
중국식 30
 
3.2%
통닭(치킨 26
 
2.8%
경양식 25
 
2.7%
식육(숯불구이 24
 
2.6%
횟집 12
 
1.3%
정종/대포집/소주방 9
 
1.0%
Other values (7) 37
 
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2023-08-25 00:00:00
Maximum2023-08-25 00:00:00
2023-12-13T08:12:05.643584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:12:05.740984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T08:12:01.599850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:12:01.774701image/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

업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명데이터기준일자
0일반음식점1968-05-24낙원식당강원특별자치도 정선군 고한읍 고한6길 18강원특별자치도 정선군 고한읍 고한리 62-172007-02-09한식2023-08-25
1일반음식점1969-06-12우리식당강원특별자치도 정선군 임계면 백두대간로 1366강원특별자치도 정선군 임계면 송계리 765-42007-07-03한식2023-08-25
2일반음식점1970-06-14나드리김밥 정선점강원특별자치도 정선군 정선읍 정선로 1351-1강원특별자치도 정선군 정선읍 봉양리 339-122017-11-23김밥(도시락)2023-08-25
3일반음식점1970-05-14한우식당강원특별자치도 정선군 정선읍 5일장길 26강원특별자치도 정선군 정선읍 봉양리 343-72006-06-13한식2023-08-25
4일반음식점1970-09-14통일식당강원특별자치도 정선군 신동읍 함백로 56강원특별자치도 정선군 신동읍 예미리 197-12001-02-22한식2023-08-25
5일반음식점1971-06-16조랭이부대찌개&장칼국수강원특별자치도 정선군 사북읍 사북중앙로 36 ((1층))강원특별자치도 정선군 사북읍 사북리 369-16 (1층)2019-09-27한식2023-08-25
6일반음식점1971-01-26번개반점강원특별자치도 정선군 고한읍 고한6길 15-2강원특별자치도 정선군 고한읍 고한리 62-181998-12-28중국식2023-08-25
7일반음식점1972-06-18여량식당강원특별자치도 정선군 정선읍 비봉로 50강원특별자치도 정선군 정선읍 봉양리 344-41982-01-14한식2023-08-25
8일반음식점1973-06-02마카오강원특별자치도 정선군 정선읍 비봉로 57강원특별자치도 정선군 정선읍 봉양리 381 7통3반2019-12-06한식2023-08-25
9일반음식점1973-09-30아우라지식당<NA>강원특별자치도 정선군 여량면 여량리 100-342004-06-16한식2023-08-25
업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명데이터기준일자
925일반음식점2023-04-14일일일 갈비강원특별자치도 정선군 고한읍 고한9길 111강원특별자치도 정선군 고한읍 고한리 71-12023-04-14한식2023-08-25
926일반음식점2023-04-18동행식당강원특별자치도 정선군 고한읍 고한3길 78-8, 1층강원특별자치도 정선군 고한읍 고한리 50-452023-04-18한식2023-08-25
927일반음식점2023-04-21돈돈강원특별자치도 정선군 정선읍 5일장길 8강원특별자치도 정선군 정선읍 봉양리 324-382023-04-21식육(숯불구이)2023-08-25
928일반음식점2023-04-24항골아지매강원특별자치도 정선군 북평면 탑골길 59강원특별자치도 정선군 북평면 북평리 319-92023-04-24한식2023-08-25
929일반음식점2023-05-03호수 목로주막강원특별자치도 정선군 정선읍 녹송로 80-1강원특별자치도 정선군 정선읍 봉양리 47-102023-05-03정종/대포집/소주방2023-08-25
930일반음식점2023-05-17오즈홀덤펍강원특별자치도 정선군 고한읍 고한로 47, 경빌딩 2층 202호강원특별자치도 정선군 고한읍 고한리 120-42023-05-17기타2023-08-25
931일반음식점2023-05-19화암골 가든강원특별자치도 정선군 화암면 화암동굴길 12-22강원특별자치도 정선군 화암면 화암리 540-62023-05-19한식2023-08-25
932일반음식점2023-05-24덮밥.ZIP 사북고한점강원특별자치도 정선군 사북읍 사북중앙로 19-2강원특별자치도 정선군 사북읍 사북리 377-162023-05-24기타2023-08-25
933일반음식점2023-06-02비에이치씨 정선점강원특별자치도 정선군 정선읍 정선로 1351강원특별자치도 정선군 정선읍 봉양리 339-112023-06-02호프/통닭2023-08-25
934일반음식점2023-06-09한우명가 21강원특별자치도 정선군 사북읍 사북중앙로 76강원특별자치도 정선군 사북읍 사북리 313-112023-06-09식육(숯불구이)2023-08-25