Overview

Dataset statistics

Number of variables9
Number of observations365
Missing cells367
Missing cells (%)11.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory72.4 B

Variable types

Categorical2
DateTime3
Text4

Dataset

Description화천군 음식점 현황에 관한 데이터입니다.
Author강원도 화천군
URLhttps://www.data.go.kr/data/15017274/fileData.do

Alerts

업태명 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 업태명High correlation
업종명 is highly imbalanced (65.9%)Imbalance
소재지전화 has 50 (13.7%) missing valuesMissing
폐업일자 has 314 (86.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:27:53.306246
Analysis finished2023-12-12 13:27:54.417328
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
일반음식점
327 
휴게음식점
33 
제과점영업
 
5

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 327
89.6%
휴게음식점 33
 
9.0%
제과점영업 5
 
1.4%

Length

2023-12-12T22:27:54.489825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:54.605863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 327
89.6%
휴게음식점 33
 
9.0%
제과점영업 5
 
1.4%

인허가일자
Date

Distinct341
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1966-07-18 00:00:00
Maximum2016-07-19 00:00:00
2023-12-12T22:27:54.730880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:54.923531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct358
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T22:27:55.235642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length14
Mean length5.8493151
Min length1

Characters and Unicode

Total characters2135
Distinct characters434
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)96.2%

Sample

1st row경복원
2nd row박가왕족발보쌈
3rd row유촌식당
4th row병장신갈비찜
5th row육화구이
ValueCountFrequency (%)
화천점 6
 
1.3%
신 3
 
0.7%
세븐일레븐 2
 
0.4%
자이언트 2
 
0.4%
우리집 2
 
0.4%
cafe 2
 
0.4%
산양점 2
 
0.4%
홍두깨왕족발보쌈 2
 
0.4%
coffee 2
 
0.4%
국밥 2
 
0.4%
Other values (419) 425
94.4%
2023-12-12T22:27:55.672466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
4.0%
천 56
 
2.6%
리 56
 
2.6%
화 44
 
2.1%
점 42
 
2.0%
이 38
 
1.8%
가 37
 
1.7%
산 30
 
1.4%
식 30
 
1.4%
마 27
 
1.3%
Other values (424) 1690
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1893
88.7%
Space Separator 85
 
4.0%
Uppercase Letter 56
 
2.6%
Lowercase Letter 46
 
2.2%
Decimal Number 23
 
1.1%
Other Punctuation 18
 
0.8%
Close Punctuation 6
 
0.3%
Open Punctuation 6
 
0.3%
Letter Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 56
 
3.0%
리 56
 
3.0%
화 44
 
2.3%
점 42
 
2.2%
이 38
 
2.0%
가 37
 
2.0%
산 30
 
1.6%
식 30
 
1.6%
마 27
 
1.4%
수 25
 
1.3%
Other values (373) 1508
79.7%
Uppercase Letter
ValueCountFrequency (%)
E 7
12.5%
F 7
12.5%
B 6
10.7%
O 6
10.7%
A 5
8.9%
C 5
8.9%
S 4
7.1%
T 3
 
5.4%
H 2
 
3.6%
R 2
 
3.6%
Other values (8) 9
16.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
17.4%
s 6
13.0%
o 5
10.9%
n 4
8.7%
t 4
8.7%
a 3
 
6.5%
i 3
 
6.5%
r 3
 
6.5%
m 2
 
4.3%
l 2
 
4.3%
Other values (5) 6
13.0%
Decimal Number
ValueCountFrequency (%)
5 5
21.7%
2 5
21.7%
0 3
13.0%
7 3
13.0%
9 2
 
8.7%
4 2
 
8.7%
6 1
 
4.3%
1 1
 
4.3%
3 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
& 12
66.7%
' 3
 
16.7%
. 2
 
11.1%
· 1
 
5.6%
Space Separator
ValueCountFrequency (%)
85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1893
88.7%
Common 139
 
6.5%
Latin 103
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 56
 
3.0%
리 56
 
3.0%
화 44
 
2.3%
점 42
 
2.2%
이 38
 
2.0%
가 37
 
2.0%
산 30
 
1.6%
식 30
 
1.6%
마 27
 
1.4%
수 25
 
1.3%
Other values (373) 1508
79.7%
Latin
ValueCountFrequency (%)
e 8
 
7.8%
E 7
 
6.8%
F 7
 
6.8%
B 6
 
5.8%
O 6
 
5.8%
s 6
 
5.8%
A 5
 
4.9%
C 5
 
4.9%
o 5
 
4.9%
S 4
 
3.9%
Other values (24) 44
42.7%
Common
ValueCountFrequency (%)
85
61.2%
& 12
 
8.6%
) 6
 
4.3%
( 6
 
4.3%
5 5
 
3.6%
2 5
 
3.6%
0 3
 
2.2%
7 3
 
2.2%
' 3
 
2.2%
. 2
 
1.4%
Other values (7) 9
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1892
88.6%
ASCII 240
 
11.2%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
35.4%
& 12
 
5.0%
e 8
 
3.3%
E 7
 
2.9%
F 7
 
2.9%
) 6
 
2.5%
( 6
 
2.5%
B 6
 
2.5%
O 6
 
2.5%
s 6
 
2.5%
Other values (39) 91
37.9%
Hangul
ValueCountFrequency (%)
천 56
 
3.0%
리 56
 
3.0%
화 44
 
2.3%
점 42
 
2.2%
이 38
 
2.0%
가 37
 
2.0%
산 30
 
1.6%
식 30
 
1.6%
마 27
 
1.4%
수 25
 
1.3%
Other values (372) 1507
79.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅕ 1
100.0%

소재지(도로명)
Text

Distinct317
Distinct (%)87.6%
Missing3
Missing (%)0.8%
Memory size3.0 KiB
2023-12-12T22:27:55.961551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length20.646409
Min length17

Characters and Unicode

Total characters7474
Distinct characters95
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

Unique283 ?
Unique (%)78.2%

Sample

1st row강원도 화천군 상서면 영서로 7724
2nd row강원도 화천군 화천읍 중앙로2길 23-1
3rd row강원도 화천군 간동면 느릅길 1
4th row강원도 화천군 사내면 사내로 47
5th row강원도 화천군 화천읍 중앙로2길 5
ValueCountFrequency (%)
강원도 362
19.5%
화천군 362
19.5%
화천읍 165
 
8.9%
사내면 129
 
6.9%
상서면 43
 
2.3%
사내로 36
 
1.9%
중앙로4길 36
 
1.9%
상승로 30
 
1.6%
영서로 22
 
1.2%
포화로 19
 
1.0%
Other values (313) 653
35.2%
2023-12-12T22:27:56.382235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1495
20.0%
화 581
 
7.8%
천 537
 
7.2%
강 362
 
4.8%
도 362
 
4.8%
군 362
 
4.8%
원 362
 
4.8%
로 326
 
4.4%
1 277
 
3.7%
사 212
 
2.8%
Other values (85) 2598
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4636
62.0%
Space Separator 1495
 
20.0%
Decimal Number 1164
 
15.6%
Dash Punctuation 129
 
1.7%
Other Punctuation 18
 
0.2%
Open Punctuation 16
 
0.2%
Close Punctuation 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 581
12.5%
천 537
11.6%
강 362
 
7.8%
도 362
 
7.8%
군 362
 
7.8%
원 362
 
7.8%
로 326
 
7.0%
사 212
 
4.6%
내 212
 
4.6%
면 197
 
4.2%
Other values (70) 1123
24.2%
Decimal Number
ValueCountFrequency (%)
1 277
23.8%
2 172
14.8%
4 154
13.2%
3 123
10.6%
7 109
 
9.4%
5 88
 
7.6%
8 74
 
6.4%
6 64
 
5.5%
0 53
 
4.6%
9 50
 
4.3%
Space Separator
ValueCountFrequency (%)
1495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4636
62.0%
Common 2838
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 581
12.5%
천 537
11.6%
강 362
 
7.8%
도 362
 
7.8%
군 362
 
7.8%
원 362
 
7.8%
로 326
 
7.0%
사 212
 
4.6%
내 212
 
4.6%
면 197
 
4.2%
Other values (70) 1123
24.2%
Common
ValueCountFrequency (%)
1495
52.7%
1 277
 
9.8%
2 172
 
6.1%
4 154
 
5.4%
- 129
 
4.5%
3 123
 
4.3%
7 109
 
3.8%
5 88
 
3.1%
8 74
 
2.6%
6 64
 
2.3%
Other values (5) 153
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4636
62.0%
ASCII 2838
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1495
52.7%
1 277
 
9.8%
2 172
 
6.1%
4 154
 
5.4%
- 129
 
4.5%
3 123
 
4.3%
7 109
 
3.8%
5 88
 
3.1%
8 74
 
2.6%
6 64
 
2.3%
Other values (5) 153
 
5.4%
Hangul
ValueCountFrequency (%)
화 581
12.5%
천 537
11.6%
강 362
 
7.8%
도 362
 
7.8%
군 362
 
7.8%
원 362
 
7.8%
로 326
 
7.0%
사 212
 
4.6%
내 212
 
4.6%
면 197
 
4.2%
Other values (70) 1123
24.2%

소재지(지번)
Text

Distinct311
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T22:27:56.637397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length25.542466
Min length4

Characters and Unicode

Total characters9323
Distinct characters74
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

Unique273 ?
Unique (%)74.8%

Sample

1st row강원도 화천군 상서면 산양리 505번지 62호 (2/4)
2nd row강원도 화천군 화천읍 하리 0번지 (2/2)
3rd row강원도 화천군 간동면 유촌리 0번지 (1/2)
4th row강원도 화천군 사내면 448번지 1호
5th row강원도 화천군 화천읍 하리 43번지 42호
ValueCountFrequency (%)
강원도 362
16.7%
화천군 362
16.7%
화천읍 164
 
7.6%
사내면 130
 
6.0%
하리 119
 
5.5%
사창리 95
 
4.4%
상서면 43
 
2.0%
1호 40
 
1.8%
2호 29
 
1.3%
43번지 26
 
1.2%
Other values (274) 793
36.7%
2023-12-12T22:27:57.139182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2506
26.9%
천 528
 
5.7%
화 527
 
5.7%
지 382
 
4.1%
원 364
 
3.9%
강 362
 
3.9%
번 362
 
3.9%
도 362
 
3.9%
군 362
 
3.9%
리 345
 
3.7%
Other values (64) 3223
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5261
56.4%
Space Separator 2506
26.9%
Decimal Number 1497
 
16.1%
Close Punctuation 22
 
0.2%
Open Punctuation 22
 
0.2%
Other Punctuation 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 528
 
10.0%
화 527
 
10.0%
지 382
 
7.3%
원 364
 
6.9%
강 362
 
6.9%
번 362
 
6.9%
도 362
 
6.9%
군 362
 
6.9%
리 345
 
6.6%
호 324
 
6.2%
Other values (50) 1343
25.5%
Decimal Number
ValueCountFrequency (%)
4 267
17.8%
1 264
17.6%
2 185
12.4%
5 174
11.6%
3 151
10.1%
6 110
7.3%
0 105
 
7.0%
7 91
 
6.1%
8 79
 
5.3%
9 71
 
4.7%
Space Separator
ValueCountFrequency (%)
2506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5261
56.4%
Common 4062
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 528
 
10.0%
화 527
 
10.0%
지 382
 
7.3%
원 364
 
6.9%
강 362
 
6.9%
번 362
 
6.9%
도 362
 
6.9%
군 362
 
6.9%
리 345
 
6.6%
호 324
 
6.2%
Other values (50) 1343
25.5%
Common
ValueCountFrequency (%)
2506
61.7%
4 267
 
6.6%
1 264
 
6.5%
2 185
 
4.6%
5 174
 
4.3%
3 151
 
3.7%
6 110
 
2.7%
0 105
 
2.6%
7 91
 
2.2%
8 79
 
1.9%
Other values (4) 130
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5261
56.4%
ASCII 4062
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2506
61.7%
4 267
 
6.6%
1 264
 
6.5%
2 185
 
4.6%
5 174
 
4.3%
3 151
 
3.7%
6 110
 
2.7%
0 105
 
2.6%
7 91
 
2.2%
8 79
 
1.9%
Other values (4) 130
 
3.2%
Hangul
ValueCountFrequency (%)
천 528
 
10.0%
화 527
 
10.0%
지 382
 
7.3%
원 364
 
6.9%
강 362
 
6.9%
번 362
 
6.9%
도 362
 
6.9%
군 362
 
6.9%
리 345
 
6.6%
호 324
 
6.2%
Other values (50) 1343
25.5%

소재지전화
Text

MISSING 

Distinct305
Distinct (%)96.8%
Missing50
Missing (%)13.7%
Memory size3.0 KiB
2023-12-12T22:27:57.429561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.95873
Min length2

Characters and Unicode

Total characters3767
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

Unique295 ?
Unique (%)93.7%

Sample

1st row033-442-6017
2nd row033-442-7921
3rd row033-442-5062
4th row033-441-5522
5th row033-441-2292
ValueCountFrequency (%)
2
 
0.6%
033-441-3315 2
 
0.6%
033-441-3331 2
 
0.6%
033-441-2033 2
 
0.6%
033-441-7607 2
 
0.6%
033-442-6225 2
 
0.6%
033-442-2260 2
 
0.6%
033-442-4422 2
 
0.6%
033-441-5282 2
 
0.6%
033-442-5333 2
 
0.6%
Other values (295) 295
93.7%
2023-12-12T22:27:57.818617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 732
19.4%
4 717
19.0%
- 630
16.7%
0 471
12.5%
2 303
8.0%
1 282
 
7.5%
5 148
 
3.9%
7 139
 
3.7%
8 124
 
3.3%
9 114
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3137
83.3%
Dash Punctuation 630
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 732
23.3%
4 717
22.9%
0 471
15.0%
2 303
9.7%
1 282
 
9.0%
5 148
 
4.7%
7 139
 
4.4%
8 124
 
4.0%
9 114
 
3.6%
6 107
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 630
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 732
19.4%
4 717
19.0%
- 630
16.7%
0 471
12.5%
2 303
8.0%
1 282
 
7.5%
5 148
 
3.9%
7 139
 
3.7%
8 124
 
3.3%
9 114
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 732
19.4%
4 717
19.0%
- 630
16.7%
0 471
12.5%
2 303
8.0%
1 282
 
7.5%
5 148
 
3.9%
7 139
 
3.7%
8 124
 
3.3%
9 114
 
3.0%

영업자시작일
Date

Distinct297
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2012-01-02 00:00:00
Maximum2016-07-27 00:00:00
2023-12-12T22:27:57.985535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:58.153934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐업일자
Date

MISSING 

Distinct50
Distinct (%)98.0%
Missing314
Missing (%)86.0%
Memory size3.0 KiB
Minimum2012-07-19 00:00:00
Maximum2016-08-04 00:00:00
2023-12-12T22:27:58.299188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:58.449434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
한식
214 
기타
30 
중국식
 
17
패스트푸드
 
15
분식
 
13
Other values (15)
76 

Length

Max length10
Median length2
Mean length2.6794521
Min length2

Unique

Unique4 ?
Unique (%)1.1%

Sample

1st row중국식
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 214
58.6%
기타 30
 
8.2%
중국식 17
 
4.7%
패스트푸드 15
 
4.1%
분식 13
 
3.6%
호프/통닭 12
 
3.3%
통닭(치킨) 11
 
3.0%
커피숍 11
 
3.0%
다방 6
 
1.6%
경양식 6
 
1.6%
Other values (10) 30
 
8.2%

Length

2023-12-12T22:27:58.588368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 214
57.7%
기타 36
 
9.7%
중국식 17
 
4.6%
패스트푸드 15
 
4.0%
분식 13
 
3.5%
호프/통닭 12
 
3.2%
통닭(치킨 11
 
3.0%
커피숍 11
 
3.0%
경양식 6
 
1.6%
휴게음식점 6
 
1.6%
Other values (10) 30
 
8.1%

Correlations

2023-12-12T22:27:58.673890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명폐업일자업태명
업종명1.0001.0000.985
폐업일자1.0001.0001.000
업태명0.9851.0001.000
2023-12-12T22:27:58.773071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업종명
업태명1.0000.946
업종명0.9461.000
2023-12-12T22:27:58.867934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.946
업태명0.9461.000

Missing values

2023-12-12T22:27:53.790431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:53.936620image/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.
2023-12-12T22:27:54.363013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화영업자시작일폐업일자업태명
0일반음식점1966-07-18경복원강원도 화천군 상서면 영서로 7724강원도 화천군 상서면 산양리 505번지 62호 (2/4)033-442-60172016-04-01<NA>중국식
1일반음식점1973-11-23박가왕족발보쌈강원도 화천군 화천읍 중앙로2길 23-1강원도 화천군 화천읍 하리 0번지 (2/2)033-442-79212015-03-03<NA>한식
2일반음식점1974-09-20유촌식당강원도 화천군 간동면 느릅길 1강원도 화천군 간동면 유촌리 0번지 (1/2)033-442-50622013-04-24<NA>한식
3일반음식점1976-11-22병장신갈비찜강원도 화천군 사내면 사내로 47강원도 화천군 사내면 448번지 1호033-441-55222012-11-20<NA>한식
4일반음식점1978-08-14육화구이강원도 화천군 화천읍 중앙로2길 5강원도 화천군 화천읍 하리 43번지 42호033-441-22922012-03-14<NA>한식
5일반음식점1979-12-28황궁쟁반짜장강원도 화천군 화천읍 중앙로2길 8강원도 화천군 화천읍 하리 43번지 32호033-442-50022016-06-02<NA>중국식
6일반음식점1980-11-19봉구스밥버거사창리점강원도 화천군 사내면 사내로 38-1강원도 화천군 사내면 사창리 456번지 1호033-441-33312014-11-05<NA>기타
7일반음식점1981-08-31페리카나화천점강원도 화천군 화천읍 상승로 43-1강원도 화천군 화천읍 하리 101번지 23호033-442-22562013-06-03<NA>통닭(치킨)
8일반음식점1982-06-03춘천삼계탕강원도 화천군 사내면 사내로4길 18강원도 화천군 사내면 사창리 428번지033-441-54852012-03-23<NA>한식
9일반음식점1983-05-18향토보리밥강원도 화천군 화천읍 중앙로6길 20강원도 화천군 화천읍 하리 51번지 1호033-442-44892016-07-20<NA>호프/통닭
업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화영업자시작일폐업일자업태명
355휴게음식점2016-01-21GS25 화천사내점강원도 화천군 사내면 수피령로 25강원도 화천군 사내면 사창리 396번지 4호033-441-80252016-01-21<NA>패스트푸드
356휴게음식점2016-04-11NO.1 FRESH COFFEE Topresso 화천상서점강원도 화천군 상서면 영서로 7717강원도 화천군 상서면 산양리 738번지 40호<NA>2016-04-11<NA>커피숍
357휴게음식점2016-05-30문릿작업소강원도 화천군 화천읍 상승로3길 5, 2층강원도 화천군 화천읍 하리 72번지 2호<NA>2016-05-30<NA>커피숍
358휴게음식점2016-07-05메가커피강원도 화천군 사내면 사내로 40-4강원도 화천군 사내면 사창리 455번지 1호<NA>2016-07-05<NA>커피숍
359휴게음식점2016-07-19향토주전부리강원도 화천군 화천읍 중앙로4길 11강원도 화천군 화천읍 하리 48번지 2호<NA>2016-07-19<NA>일반조리판매
360제과점영업2013-06-25바게트리빵집강원도 화천군 화천읍 중앙로4길 12, 가1동 1호강원도 화천군 화천읍 하리 44번지 31호033-442-00342013-09-102016-08-04제과점영업
361제과점영업2013-12-18천년베이커리강원도 화천군 화천읍 상승로 45-17<NA>2013-12-182014-11-24제과점영업
362제과점영업2015-02-26씨유 화천데시앙점강원도 화천군 사내면 사내로3길 79-3강원도 화천군 사내면 사창리 905번지 22호<NA>2015-02-26<NA>제과점영업
363제과점영업2016-01-06몽마강원도 화천군 화천읍 중앙로2길 13강원도 화천군 화천읍 하리 43번지 47호<NA>2016-01-06<NA>제과점영업
364제과점영업2016-06-02달콤달달강원도 화천군 화천읍 상승로5길 29-5강원도 화천군 화천읍 상리 33번지 17호<NA>2016-06-02<NA>제과점영업