Overview

Dataset statistics

Number of variables7
Number of observations235
Missing cells125
Missing cells (%)7.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory56.6 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description강원특별자치도의 집단급식소 위탁급식에 대한 현황 데이터로 업소명고, 업종, 업태, 지번주소, 도로명 주소, 전화번호, 신고 및 허기일을 제공합니다.
Author강원특별자치도
URLhttps://www.data.go.kr/data/15127056/fileData.do

Alerts

업종 has constant value ""Constant
업태 has constant value ""Constant
도로명주소 has 4 (1.7%) missing valuesMissing
전화번호 has 121 (51.5%) missing valuesMissing

Reproduction

Analysis started2024-03-16 04:15:35.899091
Analysis finished2024-03-16 04:15:37.350790
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct226
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-16T13:15:37.584605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length12.361702
Min length2

Characters and Unicode

Total characters2905
Distinct characters327
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)94.0%

Sample

1st row강원재활병원춘천점
2nd row(주)우리나이스랜드
3rd row(주)아워홈 강원대 기숙사식당
4th row(주)아워홈 춘천교대기숙사식당
5th row(주)아워홈 한림대학교학생식당
ValueCountFrequency (%)
주)아워홈 12
 
3.9%
본우리집밥 7
 
2.3%
풀무원푸드앤컬처 6
 
2.0%
직원식당 5
 
1.6%
봄볕푸드 4
 
1.3%
주식회사 4
 
1.3%
근로복지공단 3
 
1.0%
원주푸드 3
 
1.0%
주)동원홈푸드 3
 
1.0%
주)웰스프레쉬 3
 
1.0%
Other values (247) 256
83.7%
2024-03-16T13:15:38.213655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 167
 
5.7%
( 126
 
4.3%
) 125
 
4.3%
드 114
 
3.9%
원 110
 
3.8%
푸 102
 
3.5%
점 92
 
3.2%
71
 
2.4%
스 70
 
2.4%
식 59
 
2.0%
Other values (317) 1869
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2524
86.9%
Open Punctuation 126
 
4.3%
Close Punctuation 125
 
4.3%
Space Separator 71
 
2.4%
Uppercase Letter 44
 
1.5%
Decimal Number 10
 
0.3%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 167
 
6.6%
드 114
 
4.5%
원 110
 
4.4%
푸 102
 
4.0%
점 92
 
3.6%
스 70
 
2.8%
식 59
 
2.3%
이 53
 
2.1%
아 41
 
1.6%
리 40
 
1.6%
Other values (296) 1676
66.4%
Uppercase Letter
ValueCountFrequency (%)
C 12
27.3%
S 7
15.9%
K 4
 
9.1%
T 4
 
9.1%
G 4
 
9.1%
A 3
 
6.8%
I 2
 
4.5%
F 2
 
4.5%
B 2
 
4.5%
J 2
 
4.5%
Other values (2) 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
2 2
 
20.0%
3 2
 
20.0%
0 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
/ 2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2524
86.9%
Common 337
 
11.6%
Latin 44
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 167
 
6.6%
드 114
 
4.5%
원 110
 
4.4%
푸 102
 
4.0%
점 92
 
3.6%
스 70
 
2.8%
식 59
 
2.3%
이 53
 
2.1%
아 41
 
1.6%
리 40
 
1.6%
Other values (296) 1676
66.4%
Latin
ValueCountFrequency (%)
C 12
27.3%
S 7
15.9%
K 4
 
9.1%
T 4
 
9.1%
G 4
 
9.1%
A 3
 
6.8%
I 2
 
4.5%
F 2
 
4.5%
B 2
 
4.5%
J 2
 
4.5%
Other values (2) 2
 
4.5%
Common
ValueCountFrequency (%)
( 126
37.4%
) 125
37.1%
71
21.1%
1 5
 
1.5%
& 3
 
0.9%
/ 2
 
0.6%
2 2
 
0.6%
3 2
 
0.6%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2524
86.9%
ASCII 381
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 167
 
6.6%
드 114
 
4.5%
원 110
 
4.4%
푸 102
 
4.0%
점 92
 
3.6%
스 70
 
2.8%
식 59
 
2.3%
이 53
 
2.1%
아 41
 
1.6%
리 40
 
1.6%
Other values (296) 1676
66.4%
ASCII
ValueCountFrequency (%)
( 126
33.1%
) 125
32.8%
71
18.6%
C 12
 
3.1%
S 7
 
1.8%
1 5
 
1.3%
K 4
 
1.0%
T 4
 
1.0%
G 4
 
1.0%
A 3
 
0.8%
Other values (11) 20
 
5.2%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
위탁급식영업
235 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 235
100.0%

Length

2024-03-16T13:15:38.458568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:38.621748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 235
100.0%

업태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
위탁급식영업
235 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 235
100.0%

Length

2024-03-16T13:15:38.816829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:39.048724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 235
100.0%

지번주소
Text

Distinct224
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-16T13:15:39.400784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length39
Mean length28.808511
Min length19

Characters and Unicode

Total characters6770
Distinct characters268
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)92.3%

Sample

1st row강원특별자치도 춘천시 우두동 291번지 2호
2nd row강원특별자치도 춘천시 신북읍 유포리 228번지
3rd row강원특별자치도 춘천시 효자동 192번지 1호
4th row강원특별자치도 춘천시 석사동 339번지
5th row강원특별자치도 춘천시 옥천동 1번지
ValueCountFrequency (%)
강원특별자치도 235
 
17.7%
원주시 92
 
6.9%
춘천시 47
 
3.5%
1호 36
 
2.7%
문막읍 26
 
2.0%
강릉시 21
 
1.6%
2호 20
 
1.5%
횡성군 15
 
1.1%
홍천군 14
 
1.1%
반계리 13
 
1.0%
Other values (500) 810
60.9%
2024-03-16T13:15:40.017330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1094
 
16.2%
원 368
 
5.4%
강 272
 
4.0%
지 272
 
4.0%
도 248
 
3.7%
자 243
 
3.6%
특 235
 
3.5%
별 235
 
3.5%
치 235
 
3.5%
번 235
 
3.5%
Other values (258) 3333
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4674
69.0%
Space Separator 1094
 
16.2%
Decimal Number 936
 
13.8%
Uppercase Letter 24
 
0.4%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Other Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 368
 
7.9%
강 272
 
5.8%
지 272
 
5.8%
도 248
 
5.3%
자 243
 
5.2%
특 235
 
5.0%
별 235
 
5.0%
치 235
 
5.0%
번 235
 
5.0%
시 190
 
4.1%
Other values (232) 2141
45.8%
Decimal Number
ValueCountFrequency (%)
1 213
22.8%
2 151
16.1%
0 87
9.3%
3 84
 
9.0%
4 74
 
7.9%
6 71
 
7.6%
9 68
 
7.3%
8 65
 
6.9%
5 64
 
6.8%
7 59
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
K 6
25.0%
G 4
16.7%
T 3
12.5%
S 3
12.5%
A 2
 
8.3%
I 2
 
8.3%
E 1
 
4.2%
C 1
 
4.2%
P 1
 
4.2%
M 1
 
4.2%
Space Separator
ValueCountFrequency (%)
1094
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4675
69.1%
Common 2071
30.6%
Latin 24
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 368
 
7.9%
강 272
 
5.8%
지 272
 
5.8%
도 248
 
5.3%
자 243
 
5.2%
특 235
 
5.0%
별 235
 
5.0%
치 235
 
5.0%
번 235
 
5.0%
시 190
 
4.1%
Other values (233) 2142
45.8%
Common
ValueCountFrequency (%)
1094
52.8%
1 213
 
10.3%
2 151
 
7.3%
0 87
 
4.2%
3 84
 
4.1%
4 74
 
3.6%
6 71
 
3.4%
9 68
 
3.3%
8 65
 
3.1%
5 64
 
3.1%
Other values (5) 100
 
4.8%
Latin
ValueCountFrequency (%)
K 6
25.0%
G 4
16.7%
T 3
12.5%
S 3
12.5%
A 2
 
8.3%
I 2
 
8.3%
E 1
 
4.2%
C 1
 
4.2%
P 1
 
4.2%
M 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4674
69.0%
ASCII 2095
30.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1094
52.2%
1 213
 
10.2%
2 151
 
7.2%
0 87
 
4.2%
3 84
 
4.0%
4 74
 
3.5%
6 71
 
3.4%
9 68
 
3.2%
8 65
 
3.1%
5 64
 
3.1%
Other values (15) 124
 
5.9%
Hangul
ValueCountFrequency (%)
원 368
 
7.9%
강 272
 
5.8%
지 272
 
5.8%
도 248
 
5.3%
자 243
 
5.2%
특 235
 
5.0%
별 235
 
5.0%
치 235
 
5.0%
번 235
 
5.0%
시 190
 
4.1%
Other values (232) 2141
45.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

MISSING 

Distinct224
Distinct (%)97.0%
Missing4
Missing (%)1.7%
Memory size2.0 KiB
2024-03-16T13:15:40.616662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length32.238095
Min length21

Characters and Unicode

Total characters7447
Distinct characters310
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)94.8%

Sample

1st row강원특별자치도 춘천시 충열로142번길 24-16, (우두동)
2nd row강원특별자치도 춘천시 신북읍 맥국길 252-38
3rd row강원특별자치도 춘천시 강원대학길 1, (효자동)
4th row강원특별자치도 춘천시 공지로 126, (석사동)
5th row강원특별자치도 춘천시 봉의산길22번길 29, (옥천동)
ValueCountFrequency (%)
강원특별자치도 231
 
16.0%
원주시 90
 
6.2%
춘천시 45
 
3.1%
1층 43
 
3.0%
문막읍 26
 
1.8%
2층 22
 
1.5%
강릉시 21
 
1.5%
지하1층 16
 
1.1%
3층 16
 
1.1%
횡성군 15
 
1.0%
Other values (568) 921
63.7%
2024-03-16T13:15:41.994997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1215
 
16.3%
원 379
 
5.1%
강 281
 
3.8%
도 247
 
3.3%
자 239
 
3.2%
치 237
 
3.2%
특 231
 
3.1%
별 231
 
3.1%
1 201
 
2.7%
시 192
 
2.6%
Other values (300) 3994
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4861
65.3%
Space Separator 1215
 
16.3%
Decimal Number 837
 
11.2%
Other Punctuation 190
 
2.6%
Close Punctuation 135
 
1.8%
Open Punctuation 135
 
1.8%
Dash Punctuation 40
 
0.5%
Uppercase Letter 33
 
0.4%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 379
 
7.8%
강 281
 
5.8%
도 247
 
5.1%
자 239
 
4.9%
치 237
 
4.9%
특 231
 
4.8%
별 231
 
4.8%
시 192
 
3.9%
동 178
 
3.7%
로 145
 
3.0%
Other values (271) 2501
51.5%
Uppercase Letter
ValueCountFrequency (%)
K 6
18.2%
A 4
12.1%
C 4
12.1%
G 4
12.1%
S 3
9.1%
T 3
9.1%
I 2
 
6.1%
E 2
 
6.1%
B 2
 
6.1%
D 1
 
3.0%
Other values (2) 2
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 201
24.0%
2 150
17.9%
3 79
 
9.4%
4 74
 
8.8%
5 64
 
7.6%
0 61
 
7.3%
8 58
 
6.9%
6 52
 
6.2%
7 50
 
6.0%
9 48
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 189
99.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4862
65.3%
Common 2552
34.3%
Latin 33
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 379
 
7.8%
강 281
 
5.8%
도 247
 
5.1%
자 239
 
4.9%
치 237
 
4.9%
특 231
 
4.8%
별 231
 
4.8%
시 192
 
3.9%
동 178
 
3.7%
로 145
 
3.0%
Other values (272) 2502
51.5%
Common
ValueCountFrequency (%)
1215
47.6%
1 201
 
7.9%
, 189
 
7.4%
2 150
 
5.9%
) 135
 
5.3%
( 135
 
5.3%
3 79
 
3.1%
4 74
 
2.9%
5 64
 
2.5%
0 61
 
2.4%
Other values (6) 249
 
9.8%
Latin
ValueCountFrequency (%)
K 6
18.2%
A 4
12.1%
C 4
12.1%
G 4
12.1%
S 3
9.1%
T 3
9.1%
I 2
 
6.1%
E 2
 
6.1%
B 2
 
6.1%
D 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4861
65.3%
ASCII 2585
34.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1215
47.0%
1 201
 
7.8%
, 189
 
7.3%
2 150
 
5.8%
) 135
 
5.2%
( 135
 
5.2%
3 79
 
3.1%
4 74
 
2.9%
5 64
 
2.5%
0 61
 
2.4%
Other values (18) 282
 
10.9%
Hangul
ValueCountFrequency (%)
원 379
 
7.8%
강 281
 
5.8%
도 247
 
5.1%
자 239
 
4.9%
치 237
 
4.9%
특 231
 
4.8%
별 231
 
4.8%
시 192
 
3.9%
동 178
 
3.7%
로 145
 
3.0%
Other values (271) 2501
51.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct78
Distinct (%)68.4%
Missing121
Missing (%)51.5%
Memory size2.0 KiB
2024-03-16T13:15:42.428274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.815789
Min length5

Characters and Unicode

Total characters1347
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

Unique63 ?
Unique (%)55.3%

Sample

1st row02-6966-9501
2nd row033--
3rd row02-2175-4115
4th row02-426-2098
5th row02-3400-7501
ValueCountFrequency (%)
02-3019-2273 9
 
7.8%
02-6966-9285 7
 
6.1%
02-2175-4115 5
 
4.3%
02-3400-7696 4
 
3.5%
04-2628-3900 3
 
2.6%
03-1281-6085 3
 
2.6%
03-3735-5652 3
 
2.6%
03-1525-2233 3
 
2.6%
080-234-7575 2
 
1.7%
031-281-6085 2
 
1.7%
Other values (69) 74
64.3%
2024-03-16T13:15:43.103030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 228
16.9%
0 227
16.9%
2 153
11.4%
3 150
11.1%
1 114
8.5%
5 103
7.6%
6 87
 
6.5%
9 83
 
6.2%
7 76
 
5.6%
8 63
 
4.7%
Other values (2) 63
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1118
83.0%
Dash Punctuation 228
 
16.9%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
20.3%
2 153
13.7%
3 150
13.4%
1 114
10.2%
5 103
9.2%
6 87
 
7.8%
9 83
 
7.4%
7 76
 
6.8%
8 63
 
5.6%
4 62
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1347
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 228
16.9%
0 227
16.9%
2 153
11.4%
3 150
11.1%
1 114
8.5%
5 103
7.6%
6 87
 
6.5%
9 83
 
6.2%
7 76
 
5.6%
8 63
 
4.7%
Other values (2) 63
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 228
16.9%
0 227
16.9%
2 153
11.4%
3 150
11.1%
1 114
8.5%
5 103
7.6%
6 87
 
6.5%
9 83
 
6.2%
7 76
 
5.6%
8 63
 
4.7%
Other values (2) 63
 
4.7%

신고/허가일
Date

Distinct203
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-06-04 00:00:00
Maximum2024-02-29 00:00:00
2024-03-16T13:15:43.534905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:43.821886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2024-03-16T13:15:36.794956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:15:37.065541image/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.
2024-03-16T13:15:37.287517image/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

업소명업종업태지번주소도로명주소전화번호신고/허가일
0강원재활병원춘천점위탁급식영업위탁급식영업강원특별자치도 춘천시 우두동 291번지 2호강원특별자치도 춘천시 충열로142번길 24-16, (우두동)02-6966-95012005-06-03
1(주)우리나이스랜드위탁급식영업위탁급식영업강원특별자치도 춘천시 신북읍 유포리 228번지강원특별자치도 춘천시 신북읍 맥국길 252-38033--2007-03-29
2(주)아워홈 강원대 기숙사식당위탁급식영업위탁급식영업강원특별자치도 춘천시 효자동 192번지 1호강원특별자치도 춘천시 강원대학길 1, (효자동)02-2175-41152009-02-19
3(주)아워홈 춘천교대기숙사식당위탁급식영업위탁급식영업강원특별자치도 춘천시 석사동 339번지강원특별자치도 춘천시 공지로 126, (석사동)<NA>2009-02-19
4(주)아워홈 한림대학교학생식당위탁급식영업위탁급식영업강원특별자치도 춘천시 옥천동 1번지강원특별자치도 춘천시 봉의산길22번길 29, (옥천동)<NA>2009-08-17
5(주)아워홈 한림대학교 교직원식당위탁급식영업위탁급식영업강원특별자치도 춘천시 옥천동 1번지강원특별자치도 춘천시 봉의산길22번길 29, (옥천동)<NA>2009-08-17
6신성푸드(주)위탁급식영업위탁급식영업강원특별자치도 춘천시 남면 가정리 1256번지강원특별자치도 춘천시 남면 약암길 10902-426-20982012-03-06
7(주)아워홈 더플레이어스 지씨(GC)위탁급식영업위탁급식영업강원특별자치도 춘천시 동산면 군자리 산 73번지 1호강원특별자치도 춘천시 동산면 새술막길 438<NA>2012-10-12
8법원구내식당위탁급식영업위탁급식영업강원특별자치도 춘천시 효자동 356번지강원특별자치도 춘천시 공지로 284, (효자동)<NA>2013-09-27
9신성푸드서비스강원한전지점위탁급식영업위탁급식영업강원특별자치도 춘천시 후평동 95번지 2층강원특별자치도 춘천시 수풍골길 7, 2층 (후평동)<NA>2013-10-16
업소명업종업태지번주소도로명주소전화번호신고/허가일
225강원랜드 함백관 직원식당위탁급식영업위탁급식영업강원특별자치도 정선군 고한읍 고한리 90번지 2호강원특별자치도 정선군 고한읍 고한3길 6-9<NA>2016-02-01
226(주)아워홈 근로복지공단 정선병원점위탁급식영업위탁급식영업강원특별자치도 정선군 정선읍 봉양리 430번지강원특별자치도 정선군 정선읍 봉양1길 145, 지하 1층0802-3475-752019-02-28
227본우리집밥 강원랜드그랜드호텔점위탁급식영업위탁급식영업강원특별자치도 정선군 사북읍 사북리 424번지 강원랜드강원특별자치도 정선군 사북읍 하이원길 265, 강원랜드 3층<NA>2023-02-02
228본우리집밥 강원랜드마운틴콘도점위탁급식영업위탁급식영업강원특별자치도 정선군 고한읍 고한리 144번지 15호강원특별자치도 정선군 고한읍 하이원길 265-1, 지하1층02-3019-22732023-02-02
229본우리집밥 강원랜드워터월드점위탁급식영업위탁급식영업강원특별자치도 정선군 사북읍 사북리 산 155번지 58호 하이원 워터월드강원특별자치도 정선군 사북읍 하이원길 175, 하이원 워터월드 지하1층02-3019-22732023-02-02
230본우리집밥 강원랜드밸리콘도점위탁급식영업위탁급식영업강원특별자치도 정선군 고한읍 고한리 130번지 38호 밸리콘도미니엄강원특별자치도 정선군 고한읍 하이원길 500, 밸리콘도미니엄 지하1층02-3019-22732023-02-02
231본우리집밥 강원랜드팰리스호텔점위탁급식영업위탁급식영업강원특별자치도 정선군 고한읍 고한리 424번지강원특별자치도 정선군 고한읍 고한7길 399, 지하1층02-3019-22732023-02-02
232본우리집밥 강원랜드힐콘도점위탁급식영업위탁급식영업강원특별자치도 정선군 고한읍 고한리 산 1번지 239호 힐콘도강원특별자치도 정선군 고한읍 하이원길 424, 힐콘도 C동 지하2층02-3019-22732023-02-02
233(주)동원홈푸드 하나원분원위탁급식영업위탁급식영업강원특별자치도 화천군 간동면 간척리 757번지강원특별자치도 화천군 간동면 간척월명로 88, 1층02 5-8962-002020-12-31
234풀무원푸드앤컬처 쏠비치양양위탁급식영업위탁급식영업강원특별자치도 양양군 손양면 오산리 23번지 4호강원특별자치도 양양군 손양면 선사유적로 67802-3400-76962019-10-01