Overview

Dataset statistics

Number of variables8
Number of observations635
Missing cells274
Missing cells (%)5.4%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory39.8 KiB
Average record size in memory64.2 B

Variable types

Categorical4
Text4

Dataset

Description강원도 원주시에 있는 축산물(고기, 우유, 계란 등 구분) 판매업소 정보(사업지명, 사업자명, 주소지 등)를 제공합니다.
Author강원특별자치도 원주시
URLhttps://www.data.go.kr/data/3060296/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
사업장전화번호 has 271 (42.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:49:42.661047
Analysis finished2023-12-12 08:49:43.565345
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
식육판매업
401 
식육즉석판매가공업
84 
우유류판매업
69 
축산물유통전문판매업
 
36
식용란수집판매업
 
35

Length

Max length10
Median length5
Mean length6.1653543
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 401
63.1%
식육즉석판매가공업 84
 
13.2%
우유류판매업 69
 
10.9%
축산물유통전문판매업 36
 
5.7%
식용란수집판매업 35
 
5.5%
식육부산물전문판매업 10
 
1.6%

Length

2023-12-12T17:49:43.643075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:43.757207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 401
63.1%
식육즉석판매가공업 84
 
13.2%
우유류판매업 69
 
10.9%
축산물유통전문판매업 36
 
5.7%
식용란수집판매업 35
 
5.5%
식육부산물전문판매업 10
 
1.6%

사업장명
Text

Distinct612
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T17:49:44.022300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.0614173
Min length1

Characters and Unicode

Total characters4484
Distinct characters393
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique589 ?
Unique (%)92.8%

Sample

1st row성신유통식육점
2nd row경성축산유통
3rd row한밭축산남부점
4th row현대식육점
5th row묨
ValueCountFrequency (%)
주식회사 23
 
2.6%
정육점 19
 
2.2%
정육식당 10
 
1.1%
농업회사법인 10
 
1.1%
축산 10
 
1.1%
원주점 10
 
1.1%
서울우유 6
 
0.7%
원주 5
 
0.6%
정육 4
 
0.5%
축산물 4
 
0.5%
Other values (693) 770
88.4%
2023-12-12T17:49:44.507962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
5.3%
점 196
 
4.4%
주 164
 
3.7%
육 151
 
3.4%
산 150
 
3.3%
원 133
 
3.0%
축 133
 
3.0%
정 130
 
2.9%
우 97
 
2.2%
식 86
 
1.9%
Other values (383) 3008
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4082
91.0%
Space Separator 236
 
5.3%
Close Punctuation 61
 
1.4%
Open Punctuation 60
 
1.3%
Uppercase Letter 17
 
0.4%
Lowercase Letter 12
 
0.3%
Decimal Number 10
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 196
 
4.8%
주 164
 
4.0%
육 151
 
3.7%
산 150
 
3.7%
원 133
 
3.3%
축 133
 
3.3%
정 130
 
3.2%
우 97
 
2.4%
식 86
 
2.1%
유 85
 
2.1%
Other values (353) 2757
67.5%
Uppercase Letter
ValueCountFrequency (%)
J 2
11.8%
H 2
11.8%
C 2
11.8%
S 2
11.8%
G 1
 
5.9%
T 1
 
5.9%
E 1
 
5.9%
I 1
 
5.9%
B 1
 
5.9%
F 1
 
5.9%
Other values (3) 3
17.6%
Decimal Number
ValueCountFrequency (%)
5 2
20.0%
3 2
20.0%
8 2
20.0%
2 2
20.0%
0 1
10.0%
1 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
k 3
25.0%
i 3
25.0%
d 3
25.0%
s 3
25.0%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
· 1
 
16.7%
, 1
 
16.7%
% 1
 
16.7%
Space Separator
ValueCountFrequency (%)
236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4082
91.0%
Common 373
 
8.3%
Latin 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 196
 
4.8%
주 164
 
4.0%
육 151
 
3.7%
산 150
 
3.7%
원 133
 
3.3%
축 133
 
3.3%
정 130
 
3.2%
우 97
 
2.4%
식 86
 
2.1%
유 85
 
2.1%
Other values (353) 2757
67.5%
Latin
ValueCountFrequency (%)
k 3
10.3%
i 3
10.3%
d 3
10.3%
s 3
10.3%
J 2
 
6.9%
H 2
 
6.9%
C 2
 
6.9%
S 2
 
6.9%
G 1
 
3.4%
T 1
 
3.4%
Other values (7) 7
24.1%
Common
ValueCountFrequency (%)
236
63.3%
) 61
 
16.4%
( 60
 
16.1%
& 3
 
0.8%
5 2
 
0.5%
3 2
 
0.5%
8 2
 
0.5%
2 2
 
0.5%
0 1
 
0.3%
· 1
 
0.3%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4082
91.0%
ASCII 401
 
8.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
58.9%
) 61
 
15.2%
( 60
 
15.0%
k 3
 
0.7%
i 3
 
0.7%
d 3
 
0.7%
s 3
 
0.7%
& 3
 
0.7%
5 2
 
0.5%
J 2
 
0.5%
Other values (19) 25
 
6.2%
Hangul
ValueCountFrequency (%)
점 196
 
4.8%
주 164
 
4.0%
육 151
 
3.7%
산 150
 
3.7%
원 133
 
3.3%
축 133
 
3.3%
정 130
 
3.2%
우 97
 
2.4%
식 86
 
2.1%
유 85
 
2.1%
Other values (353) 2757
67.5%
None
ValueCountFrequency (%)
· 1
100.0%

사업자명
Text

Distinct580
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T17:49:45.075580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length4.6661417
Min length2

Characters and Unicode

Total characters2963
Distinct characters278
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)84.4%

Sample

1st row김광훈
2nd row정동용
3rd row이용우
4th row원유준
5th row문엽비
ValueCountFrequency (%)
주식회사 82
 
11.0%
농업회사법인 22
 
3.0%
원주축산업협동조합 4
 
0.5%
원주원예농업협동조합 4
 
0.5%
롯데쇼핑 3
 
0.4%
이승렬 3
 
0.4%
조수영 3
 
0.4%
평창한우마을영농조합법인 3
 
0.4%
에이치디씨리조트 3
 
0.4%
문막농업협동조합 3
 
0.4%
Other values (577) 614
82.5%
2023-12-12T17:49:45.538989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 137
 
4.6%
김 124
 
4.2%
사 124
 
4.2%
회 124
 
4.2%
109
 
3.7%
식 108
 
3.6%
이 104
 
3.5%
영 68
 
2.3%
정 63
 
2.1%
조 60
 
2.0%
Other values (268) 1942
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2814
95.0%
Space Separator 109
 
3.7%
Open Punctuation 20
 
0.7%
Close Punctuation 20
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 137
 
4.9%
김 124
 
4.4%
사 124
 
4.4%
회 124
 
4.4%
식 108
 
3.8%
이 104
 
3.7%
영 68
 
2.4%
정 63
 
2.2%
조 60
 
2.1%
원 58
 
2.1%
Other values (265) 1844
65.5%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2814
95.0%
Common 149
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 137
 
4.9%
김 124
 
4.4%
사 124
 
4.4%
회 124
 
4.4%
식 108
 
3.8%
이 104
 
3.7%
영 68
 
2.4%
정 63
 
2.2%
조 60
 
2.1%
원 58
 
2.1%
Other values (265) 1844
65.5%
Common
ValueCountFrequency (%)
109
73.2%
( 20
 
13.4%
) 20
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2814
95.0%
ASCII 149
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 137
 
4.9%
김 124
 
4.4%
사 124
 
4.4%
회 124
 
4.4%
식 108
 
3.8%
이 104
 
3.7%
영 68
 
2.4%
정 63
 
2.2%
조 60
 
2.1%
원 58
 
2.1%
Other values (265) 1844
65.5%
ASCII
ValueCountFrequency (%)
109
73.2%
( 20
 
13.4%
) 20
 
13.4%

사업장소재지
Text

Distinct600
Distinct (%)94.9%
Missing3
Missing (%)0.5%
Memory size5.1 KiB
2023-12-12T17:49:46.055066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length53
Mean length29.072785
Min length21

Characters and Unicode

Total characters18374
Distinct characters303
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique574 ?
Unique (%)90.8%

Sample

1st row강원특별자치도 원주시 치악로1524번길 6, 101호 (단구동)
2nd row강원특별자치도 원주시 중앙시장길 31-2 (중앙동)
3rd row강원특별자치도 원주시 치악로 1803, 167, 170호 (명륜동)
4th row강원특별자치도 원주시 중앙로 146 (중앙동)
5th row강원특별자치도 원주시 봉바위길 34(무실동)
ValueCountFrequency (%)
강원특별자치도 632
 
17.8%
원주시 632
 
17.8%
1층 98
 
2.8%
단계동 71
 
2.0%
단구동 63
 
1.8%
태장동 49
 
1.4%
상가동 42
 
1.2%
무실동 41
 
1.2%
치악로 34
 
1.0%
문막읍 33
 
0.9%
Other values (815) 1865
52.4%
2023-12-12T17:49:46.795515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2929
 
15.9%
원 1395
 
7.6%
시 685
 
3.7%
치 683
 
3.7%
1 656
 
3.6%
주 645
 
3.5%
도 639
 
3.5%
자 638
 
3.5%
강 636
 
3.5%
특 632
 
3.4%
Other values (293) 8836
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11623
63.3%
Space Separator 2929
 
15.9%
Decimal Number 2401
 
13.1%
Open Punctuation 480
 
2.6%
Close Punctuation 480
 
2.6%
Other Punctuation 261
 
1.4%
Dash Punctuation 185
 
1.0%
Uppercase Letter 13
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1395
 
12.0%
시 685
 
5.9%
치 683
 
5.9%
주 645
 
5.5%
도 639
 
5.5%
자 638
 
5.5%
강 636
 
5.5%
특 632
 
5.4%
별 632
 
5.4%
동 597
 
5.1%
Other values (267) 4441
38.2%
Decimal Number
ValueCountFrequency (%)
1 656
27.3%
2 319
13.3%
3 256
 
10.7%
4 216
 
9.0%
0 208
 
8.7%
5 201
 
8.4%
8 157
 
6.5%
6 153
 
6.4%
7 139
 
5.8%
9 96
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
38.5%
C 2
 
15.4%
L 1
 
7.7%
K 1
 
7.7%
A 1
 
7.7%
H 1
 
7.7%
Y 1
 
7.7%
S 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 258
98.9%
. 3
 
1.1%
Space Separator
ValueCountFrequency (%)
2929
100.0%
Open Punctuation
ValueCountFrequency (%)
( 480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11623
63.3%
Common 6737
36.7%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1395
 
12.0%
시 685
 
5.9%
치 683
 
5.9%
주 645
 
5.5%
도 639
 
5.5%
자 638
 
5.5%
강 636
 
5.5%
특 632
 
5.4%
별 632
 
5.4%
동 597
 
5.1%
Other values (267) 4441
38.2%
Common
ValueCountFrequency (%)
2929
43.5%
1 656
 
9.7%
( 480
 
7.1%
) 480
 
7.1%
2 319
 
4.7%
, 258
 
3.8%
3 256
 
3.8%
4 216
 
3.2%
0 208
 
3.1%
5 201
 
3.0%
Other values (7) 734
 
10.9%
Latin
ValueCountFrequency (%)
B 5
35.7%
C 2
 
14.3%
b 1
 
7.1%
L 1
 
7.1%
K 1
 
7.1%
A 1
 
7.1%
H 1
 
7.1%
Y 1
 
7.1%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11623
63.3%
ASCII 6750
36.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2929
43.4%
1 656
 
9.7%
( 480
 
7.1%
) 480
 
7.1%
2 319
 
4.7%
, 258
 
3.8%
3 256
 
3.8%
4 216
 
3.2%
0 208
 
3.1%
5 201
 
3.0%
Other values (15) 747
 
11.1%
Hangul
ValueCountFrequency (%)
원 1395
 
12.0%
시 685
 
5.9%
치 683
 
5.9%
주 645
 
5.5%
도 639
 
5.5%
자 638
 
5.5%
강 636
 
5.5%
특 632
 
5.4%
별 632
 
5.4%
동 597
 
5.1%
Other values (267) 4441
38.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

사업장전화번호
Text

MISSING 

Distinct341
Distinct (%)93.7%
Missing271
Missing (%)42.7%
Memory size5.1 KiB
2023-12-12T17:49:47.132135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.989011
Min length9

Characters and Unicode

Total characters4364
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

Unique321 ?
Unique (%)88.2%

Sample

1st row033-761-7330
2nd row033-744-9544
3rd row033-765-1122
4th row033-743-4895
5th row033-764-9322
ValueCountFrequency (%)
033-762-5750 3
 
0.8%
033-748-3319 3
 
0.8%
033-735-5335 3
 
0.8%
033-769-0100 2
 
0.5%
033-746-5017 2
 
0.5%
033-734-5985 2
 
0.5%
033-744-5000 2
 
0.5%
033-765-7723 2
 
0.5%
033-738-0000 2
 
0.5%
033-746-2949 2
 
0.5%
Other values (331) 341
93.7%
2023-12-12T17:49:47.602718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 974
22.3%
- 724
16.6%
0 558
12.8%
7 495
11.3%
4 331
 
7.6%
6 299
 
6.9%
2 230
 
5.3%
5 215
 
4.9%
8 188
 
4.3%
1 175
 
4.0%
Other values (2) 175
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3639
83.4%
Dash Punctuation 724
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 974
26.8%
0 558
15.3%
7 495
13.6%
4 331
 
9.1%
6 299
 
8.2%
2 230
 
6.3%
5 215
 
5.9%
8 188
 
5.2%
1 175
 
4.8%
9 174
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 974
22.3%
- 724
16.6%
0 558
12.8%
7 495
11.3%
4 331
 
7.6%
6 299
 
6.9%
2 230
 
5.3%
5 215
 
4.9%
8 188
 
4.3%
1 175
 
4.0%
Other values (2) 175
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 974
22.3%
- 724
16.6%
0 558
12.8%
7 495
11.3%
4 331
 
7.6%
6 299
 
6.9%
2 230
 
5.3%
5 215
 
4.9%
8 188
 
4.3%
1 175
 
4.0%
Other values (2) 175
 
4.0%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
원주시청
635 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원주시청 635
100.0%

Length

2023-12-12T17:49:47.757525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:47.867064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원주시청 635
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
033-737-4403
635 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-737-4403
2nd row033-737-4403
3rd row033-737-4403
4th row033-737-4403
5th row033-737-4403

Common Values

ValueCountFrequency (%)
033-737-4403 635
100.0%

Length

2023-12-12T17:49:47.981263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:48.081494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-737-4403 635
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-08-31
635 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 635
100.0%

Length

2023-12-12T17:49:48.198531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:48.321471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 635
100.0%

Missing values

2023-12-12T17:49:43.249453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:49:43.409075image/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.
2023-12-12T17:49:43.510909image/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

구분사업장명사업자명사업장소재지사업장전화번호관리기관관리기관전화번호데이터기준일자
0식육판매업성신유통식육점김광훈강원특별자치도 원주시 치악로1524번길 6, 101호 (단구동)033-761-7330원주시청033-737-44032023-08-31
1식육판매업경성축산유통정동용강원특별자치도 원주시 중앙시장길 31-2 (중앙동)033-744-9544원주시청033-737-44032023-08-31
2식육판매업한밭축산남부점이용우강원특별자치도 원주시 치악로 1803, 167, 170호 (명륜동)033-765-1122원주시청033-737-44032023-08-31
3식육판매업현대식육점원유준강원특별자치도 원주시 중앙로 146 (중앙동)033-743-4895원주시청033-737-44032023-08-31
4식육판매업묨문엽비강원특별자치도 원주시 봉바위길 34(무실동)033-764-9322원주시청033-737-44032023-08-31
5식육판매업돌탑식육점나승민강원특별자치도 원주시 평원로 61 (중앙동)033-744-9759원주시청033-737-44032023-08-31
6식육판매업덕원식육점김정례강원특별자치도 원주시 원문로100번길 88, 상가동 107호 (우산동, 덕원아파트)033-744-7757원주시청033-737-44032023-08-31
7식육판매업남원식육점정문하강원특별자치도 원주시 우산초교길 43 (우산동)033-743-7840원주시청033-737-44032023-08-31
8식육판매업학곡식육점곽미숙강원특별자치도 원주시 소초면 서동로 10033-732-3926원주시청033-737-44032023-08-31
9식육판매업여흥축산김경순강원특별자치도 원주시 우무개로 56 (우산동)033-743-6693원주시청033-737-44032023-08-31
구분사업장명사업자명사업장소재지사업장전화번호관리기관관리기관전화번호데이터기준일자
625식육즉석판매가공업고기시대주식회사 고기시대(김시대)강원특별자치도 원주시 봉화서부로 14, 1층 101호 (단계동)033-735-6999원주시청033-737-44032023-08-31
626식육즉석판매가공업고기쟁이주식회사 고기쟁이강원특별자치도 원주시 솔우물1길 1, 1층 (무실동)033-733-1909원주시청033-737-44032023-08-31
627식육즉석판매가공업주)마트야주식회사 마트야강원특별자치도 원주시 서원대로 485(단구동)<NA>원주시청033-737-44032023-08-31
628식육즉석판매가공업원주정육점 대박축산정은송강원특별자치도 원주시 치악로 1754, 1층 3호 (개운동)<NA>원주시청033-737-44032023-08-31
629식육즉석판매가공업돈담은소김광현강원특별자치도 원주시 백간공원길 25-1(단계동)<NA>원주시청033-737-44032023-08-31
630식육즉석판매가공업돈 꿈꾸 소이해선강원특별자치도 원주시 지정면 가곡로 70-1, 원주 롯데캐슬 더퍼스트 2차 상가동 921동 1층 104호<NA>원주시청033-737-44032023-08-31
631식육즉석판매가공업원주원예농협 하나로마트 혁신도시점원주원예농업협동조합강원특별자치도 원주시 양지로 26(반곡동)033-738-1983원주시청033-737-44032023-08-31
632식육즉석판매가공업풍물축산최운학강원특별자치도 원주시 평원로 18 (평원동)<NA>원주시청033-737-44032023-08-31
633식육즉석판매가공업우리홈마트 내 정육코너홈유통 주식회사강원특별자치도 원주시 북원로 2638 (태장동)<NA>원주시청033-737-44032023-08-31
634식육즉석판매가공업(주)엘마트 개운점주식회사 엘마트개운점강원특별자치도 원주시 단구로 227 (개운동)033-765-2523원주시청033-737-44032023-08-31

Duplicate rows

Most frequently occurring

구분사업장명사업자명사업장소재지사업장전화번호관리기관관리기관전화번호데이터기준일자# duplicates
0식육판매업웅진한우전문점전광제강원특별자치도 원주시 평원초교길 26 (단계동)<NA>원주시청033-737-44032023-08-312