Overview

Dataset statistics

Number of variables9
Number of observations85
Missing cells11
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory73.6 B

Variable types

Categorical6
Text3

Dataset

Description2011년말 기준으로 조사된 강원도 농축산물 공동 브랜드 현황으로 브랜드명, 브랜드소유자, 브랜드사용자 및 부류별 주품목과 등록/신규여부에 대한 데이터
Author농림축산식품부
URLhttps://www.data.go.kr/data/15072773/fileData.do

Alerts

시군 is highly overall correlated with 브랜드소유자 and 2 other fieldsHigh correlation
브랜드사용자 is highly overall correlated with 시군 and 2 other fieldsHigh correlation
등록여부 is highly overall correlated with 신규여부High correlation
신규여부 is highly overall correlated with 시군 and 4 other fieldsHigh correlation
브랜드소유자 is highly overall correlated with 시군 and 2 other fieldsHigh correlation
부류명 is highly overall correlated with 신규여부High correlation
신규여부 is highly imbalanced (63.2%)Imbalance
등록번호 has 11 (12.9%) missing valuesMissing
브랜드명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:36:08.129148
Analysis finished2023-12-12 18:36:09.344634
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
원주시
22 
양양군
15 
강원도
13 
횡성군
7 
정선군
4 
Other values (11)
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
원주시 22
25.9%
양양군 15
17.6%
강원도 13
15.3%
횡성군 7
 
8.2%
정선군 4
 
4.7%
철원군 4
 
4.7%
강릉시 3
 
3.5%
평창군 3
 
3.5%
춘천시 2
 
2.4%
동해시 2
 
2.4%
Other values (6) 10
11.8%

Length

2023-12-13T03:36:09.457019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시 22
25.9%
양양군 15
17.6%
강원도 13
15.3%
횡성군 7
 
8.2%
정선군 4
 
4.7%
철원군 4
 
4.7%
강릉시 3
 
3.5%
평창군 3
 
3.5%
춘천시 2
 
2.4%
동해시 2
 
2.4%
Other values (6) 10
11.8%

브랜드명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T03:36:09.797786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length5.5058824
Min length2

Characters and Unicode

Total characters468
Distinct characters184
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row푸른강원
2nd row강원도품질 보증마크
3rd row금바위감자
4th row강원인삼
5th row하이록강원한우
ValueCountFrequency (%)
치악산 6
 
5.9%
인제용대황태 2
 
2.0%
푸른강원 1
 
1.0%
청정특산인제 1
 
1.0%
자연중심 1
 
1.0%
포크 1
 
1.0%
자시라 1
 
1.0%
물빛누리 1
 
1.0%
두루웰 1
 
1.0%
철원쌀 1
 
1.0%
Other values (86) 86
84.3%
2023-12-13T03:36:10.325411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 25
 
5.3%
18
 
3.8%
악 17
 
3.6%
양 15
 
3.2%
원 14
 
3.0%
치 13
 
2.8%
강 13
 
2.8%
미 10
 
2.1%
우 8
 
1.7%
한 7
 
1.5%
Other values (174) 328
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
89.3%
Lowercase Letter 20
 
4.3%
Space Separator 18
 
3.8%
Decimal Number 6
 
1.3%
Uppercase Letter 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 25
 
6.0%
악 17
 
4.1%
양 15
 
3.6%
원 14
 
3.3%
치 13
 
3.1%
강 13
 
3.1%
미 10
 
2.4%
우 8
 
1.9%
한 7
 
1.7%
주 7
 
1.7%
Other values (154) 289
69.1%
Lowercase Letter
ValueCountFrequency (%)
o 4
20.0%
n 2
10.0%
g 2
10.0%
r 2
10.0%
a 2
10.0%
l 2
10.0%
i 1
 
5.0%
m 1
 
5.0%
d 1
 
5.0%
e 1
 
5.0%
Other values (2) 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
P 3
50.0%
A 1
 
16.7%
Y 1
 
16.7%
H 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
7 1
 
16.7%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
88.5%
Latin 26
 
5.6%
Common 24
 
5.1%
Han 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 25
 
6.0%
악 17
 
4.1%
양 15
 
3.6%
원 14
 
3.4%
치 13
 
3.1%
강 13
 
3.1%
미 10
 
2.4%
우 8
 
1.9%
한 7
 
1.7%
주 7
 
1.7%
Other values (150) 285
68.8%
Latin
ValueCountFrequency (%)
o 4
15.4%
P 3
11.5%
n 2
 
7.7%
g 2
 
7.7%
r 2
 
7.7%
a 2
 
7.7%
l 2
 
7.7%
A 1
 
3.8%
i 1
 
3.8%
m 1
 
3.8%
Other values (6) 6
23.1%
Common
ValueCountFrequency (%)
18
75.0%
0 4
 
16.7%
7 1
 
4.2%
2 1
 
4.2%
Han
ValueCountFrequency (%)
地 1
25.0%
天 1
25.0%
別 1
25.0%
有 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
88.5%
ASCII 50
 
10.7%
CJK 4
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 25
 
6.0%
악 17
 
4.1%
양 15
 
3.6%
원 14
 
3.4%
치 13
 
3.1%
강 13
 
3.1%
미 10
 
2.4%
우 8
 
1.9%
한 7
 
1.7%
주 7
 
1.7%
Other values (150) 285
68.8%
ASCII
ValueCountFrequency (%)
18
36.0%
0 4
 
8.0%
o 4
 
8.0%
P 3
 
6.0%
n 2
 
4.0%
g 2
 
4.0%
r 2
 
4.0%
a 2
 
4.0%
l 2
 
4.0%
7 1
 
2.0%
Other values (10) 10
20.0%
CJK
ValueCountFrequency (%)
地 1
25.0%
天 1
25.0%
別 1
25.0%
有 1
25.0%

브랜드소유자
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size812.0 B
원주시장
22 
양양군수
15 
인제군수
6 
횡성군수
6 
강원도지사
5 
Other values (16)
31 

Length

Max length12
Median length4
Mean length4.3647059
Min length3

Unique

Unique6 ?
Unique (%)7.1%

Sample

1st row강원도지사
2nd row강원도지사
3rd row강원도지사
4th row강원도지사
5th row하이록연합사업단

Common Values

ValueCountFrequency (%)
원주시장 22
25.9%
양양군수 15
17.6%
인제군수 6
 
7.1%
횡성군수 6
 
7.1%
강원도지사 5
 
5.9%
철원군수 4
 
4.7%
강릉시장 3
 
3.5%
평창군수 3
 
3.5%
정선군수 3
 
3.5%
영월군수 2
 
2.4%
Other values (11) 16
18.8%

Length

2023-12-13T03:36:10.536805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시장 22
25.9%
양양군수 15
17.6%
인제군수 6
 
7.1%
횡성군수 6
 
7.1%
강원도지사 5
 
5.9%
철원군수 4
 
4.7%
강릉시장 3
 
3.5%
평창군수 3
 
3.5%
정선군수 3
 
3.5%
춘천시 2
 
2.4%
Other values (11) 16
18.8%

브랜드사용자
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
생산자, 생산자단체
50 
인제군
 
5
농업인, 농업경영체
 
5
생산자, 생산자단체, 가공업체
 
4
평창군
 
3
Other values (15)
18 

Length

Max length16
Median length10
Mean length9.3764706
Min length2

Unique

Unique13 ?
Unique (%)15.3%

Sample

1st row생산자, 생산자단체
2nd row생산자, 생산자단체
3rd row생산자, 생산자단체
4th row생산자, 생산자단체
5th row농협회사법인하이록한우

Common Values

ValueCountFrequency (%)
생산자, 생산자단체 50
58.8%
인제군 5
 
5.9%
농업인, 농업경영체 5
 
5.9%
생산자, 생산자단체, 가공업체 4
 
4.7%
평창군 3
 
3.5%
정선군수 3
 
3.5%
강릉시,생산자단체 2
 
2.4%
생산자,생산자단체 1
 
1.2%
양양군수, 지역농협 1
 
1.2%
농협, 생산농가, 작목반 1
 
1.2%
Other values (10) 10
 
11.8%

Length

2023-12-13T03:36:11.025286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
생산자 55
35.7%
생산자단체 54
35.1%
인제군 5
 
3.2%
농업인 5
 
3.2%
농업경영체 5
 
3.2%
가공업체 4
 
2.6%
평창군 3
 
1.9%
정선군수 3
 
1.9%
양양군수 2
 
1.3%
농협 2
 
1.3%
Other values (15) 16
 
10.4%

부류명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
공통
27 
식량작물
14 
특작류
9 
축산물
9 
농산가공
8 
Other values (6)
18 

Length

Max length4
Median length3
Mean length2.9411765
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row공통
2nd row공통
3rd row식량작물
4th row특작류
5th row축산물

Common Values

ValueCountFrequency (%)
공통 27
31.8%
식량작물 14
16.5%
특작류 9
 
10.6%
축산물 9
 
10.6%
농산가공 8
 
9.4%
과채류 5
 
5.9%
과실류 4
 
4.7%
임산물 3
 
3.5%
수산물 3
 
3.5%
화훼류 2
 
2.4%

Length

2023-12-13T03:36:11.601056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공통 27
31.8%
식량작물 14
16.5%
특작류 9
 
10.6%
축산물 9
 
10.6%
농산가공 8
 
9.4%
과채류 5
 
5.9%
과실류 4
 
4.7%
임산물 3
 
3.5%
수산물 3
 
3.5%
화훼류 2
 
2.4%

주품목
Text

Distinct48
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T03:36:12.404646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length2.4705882
Min length1

Characters and Unicode

Total characters210
Distinct characters93
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

Unique33 ?
Unique (%)38.8%

Sample

1st row일반농산
2nd row일반농산
3rd row감자
4th row인삼
5th row우육
ValueCountFrequency (%)
쌀 16
 
18.6%
일반농산 5
 
5.8%
배 4
 
4.7%
감자 3
 
3.5%
황태 3
 
3.5%
한우 3
 
3.5%
찐빵 2
 
2.3%
송이 2
 
2.3%
채소 2
 
2.3%
포도 2
 
2.3%
Other values (39) 44
51.2%
2023-12-13T03:36:13.077049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
쌀 16
 
7.6%
산 8
 
3.8%
농 7
 
3.3%
고 6
 
2.9%
우 5
 
2.4%
일 5
 
2.4%
섯 5
 
2.4%
버 5
 
2.4%
류 5
 
2.4%
반 5
 
2.4%
Other values (83) 143
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
94.8%
Decimal Number 5
 
2.4%
Close Punctuation 2
 
1.0%
Open Punctuation 2
 
1.0%
Space Separator 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
쌀 16
 
8.0%
산 8
 
4.0%
농 7
 
3.5%
고 6
 
3.0%
우 5
 
2.5%
일 5
 
2.5%
섯 5
 
2.5%
버 5
 
2.5%
류 5
 
2.5%
반 5
 
2.5%
Other values (75) 132
66.3%
Decimal Number
ValueCountFrequency (%)
9 2
40.0%
3 1
20.0%
8 1
20.0%
2 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
94.8%
Common 11
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
쌀 16
 
8.0%
산 8
 
4.0%
농 7
 
3.5%
고 6
 
3.0%
우 5
 
2.5%
일 5
 
2.5%
섯 5
 
2.5%
버 5
 
2.5%
류 5
 
2.5%
반 5
 
2.5%
Other values (75) 132
66.3%
Common
ValueCountFrequency (%)
) 2
18.2%
( 2
18.2%
9 2
18.2%
3 1
9.1%
8 1
9.1%
1
9.1%
2 1
9.1%
, 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
94.8%
ASCII 11
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
쌀 16
 
8.0%
산 8
 
4.0%
농 7
 
3.5%
고 6
 
3.0%
우 5
 
2.5%
일 5
 
2.5%
섯 5
 
2.5%
버 5
 
2.5%
류 5
 
2.5%
반 5
 
2.5%
Other values (75) 132
66.3%
ASCII
ValueCountFrequency (%)
) 2
18.2%
( 2
18.2%
9 2
18.2%
3 1
9.1%
8 1
9.1%
1
9.1%
2 1
9.1%
, 1
9.1%

등록여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
등록
74 
미등록
11 

Length

Max length3
Median length2
Mean length2.1294118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록 74
87.1%
미등록 11
 
12.9%

Length

2023-12-13T03:36:13.308101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:36:13.462061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 74
87.1%
미등록 11
 
12.9%

등록번호
Text

MISSING 

Distinct73
Distinct (%)98.6%
Missing11
Missing (%)12.9%
Memory size812.0 B
2023-12-13T03:36:13.752841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length11.243243
Min length4

Characters and Unicode

Total characters832
Distinct characters21
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

Unique72 ?
Unique (%)97.3%

Sample

1st row40-0371008 외 7건
2nd row1055
3rd row40-0457276
4th row40-0637699
5th row40-0611604
ValueCountFrequency (%)
외 16
 
14.4%
1건 6
 
5.4%
7건 3
 
2.7%
2건 3
 
2.7%
4건 3
 
2.7%
40-0371008 2
 
1.8%
10건 2
 
1.8%
40-0519104 1
 
0.9%
44-0000069 1
 
0.9%
40-0511188 1
 
0.9%
Other values (73) 73
65.8%
2023-12-13T03:36:14.327023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 197
23.7%
4 119
14.3%
- 72
 
8.7%
7 57
 
6.9%
5 55
 
6.6%
6 52
 
6.2%
1 51
 
6.1%
8 51
 
6.1%
37
 
4.4%
9 36
 
4.3%
Other values (11) 105
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 676
81.2%
Dash Punctuation 72
 
8.7%
Other Letter 47
 
5.6%
Space Separator 37
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 197
29.1%
4 119
17.6%
7 57
 
8.4%
5 55
 
8.1%
6 52
 
7.7%
1 51
 
7.5%
8 51
 
7.5%
9 36
 
5.3%
2 33
 
4.9%
3 25
 
3.7%
Other Letter
ValueCountFrequency (%)
외 20
42.6%
건 20
42.6%
지 1
 
2.1%
리 1
 
2.1%
적 1
 
2.1%
표 1
 
2.1%
시 1
 
2.1%
제 1
 
2.1%
호 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 785
94.4%
Hangul 47
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 197
25.1%
4 119
15.2%
- 72
 
9.2%
7 57
 
7.3%
5 55
 
7.0%
6 52
 
6.6%
1 51
 
6.5%
8 51
 
6.5%
37
 
4.7%
9 36
 
4.6%
Other values (2) 58
 
7.4%
Hangul
ValueCountFrequency (%)
외 20
42.6%
건 20
42.6%
지 1
 
2.1%
리 1
 
2.1%
적 1
 
2.1%
표 1
 
2.1%
시 1
 
2.1%
제 1
 
2.1%
호 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 785
94.4%
Hangul 47
 
5.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 197
25.1%
4 119
15.2%
- 72
 
9.2%
7 57
 
7.3%
5 55
 
7.0%
6 52
 
6.6%
1 51
 
6.5%
8 51
 
6.5%
37
 
4.7%
9 36
 
4.6%
Other values (2) 58
 
7.4%
Hangul
ValueCountFrequency (%)
외 20
42.6%
건 20
42.6%
지 1
 
2.1%
리 1
 
2.1%
적 1
 
2.1%
표 1
 
2.1%
시 1
 
2.1%
제 1
 
2.1%
호 1
 
2.1%

신규여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
79 
신규
 
6

Length

Max length4
Median length4
Mean length3.8588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 79
92.9%
신규 6
 
7.1%

Length

2023-12-13T03:36:14.500412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:36:14.654227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
92.9%
신규 6
 
7.1%

Correlations

2023-12-13T03:36:14.760611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군브랜드명브랜드소유자브랜드사용자부류명주품목등록여부등록번호
시군1.0001.0000.9960.9460.0000.0000.5180.922
브랜드명1.0001.0001.0001.0001.0001.0001.0001.000
브랜드소유자0.9961.0001.0000.9750.4730.6810.5140.946
브랜드사용자0.9461.0000.9751.0000.4530.0000.1101.000
부류명0.0001.0000.4730.4531.0000.9890.5481.000
주품목0.0001.0000.6810.0000.9891.0000.9720.999
등록여부0.5181.0000.5140.1100.5480.9721.000NaN
등록번호0.9221.0000.9461.0001.0000.999NaN1.000
2023-12-13T03:36:14.928801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군브랜드사용자등록여부신규여부브랜드소유자부류명
시군1.0000.6530.3701.0000.9250.000
브랜드사용자0.6531.0000.0571.0000.7640.161
등록여부0.3700.0571.0001.0000.3950.497
신규여부1.0001.0001.0001.0001.0001.000
브랜드소유자0.9250.7640.3951.0001.0000.165
부류명0.0000.1610.4971.0000.1651.000
2023-12-13T03:36:15.064830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군브랜드소유자브랜드사용자부류명등록여부신규여부
시군1.0000.9250.6530.0000.3701.000
브랜드소유자0.9251.0000.7640.1650.3951.000
브랜드사용자0.6530.7641.0000.1610.0571.000
부류명0.0000.1650.1611.0000.4971.000
등록여부0.3700.3950.0570.4971.0001.000
신규여부1.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T03:36:09.042117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:36:09.257039image/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

시군브랜드명브랜드소유자브랜드사용자부류명주품목등록여부등록번호신규여부
0강원도푸른강원강원도지사생산자, 생산자단체공통일반농산등록40-0371008 외 7건<NA>
1강원도강원도품질 보증마크강원도지사생산자, 생산자단체공통일반농산등록1055<NA>
2강원도금바위감자강원도지사생산자, 생산자단체식량작물감자등록40-0457276<NA>
3강원도강원인삼강원도지사생산자, 생산자단체특작류인삼등록40-0637699<NA>
4강원도하이록강원한우하이록연합사업단농협회사법인하이록한우축산물우육등록40-0611604<NA>
5강원도맑은청강원채소농협강원지역본부회원농협과채류풋고추등록40-0728573외 1건<NA>
6강원도강원약초강원도지사생산자, 생산자단체임산물약초류등록40-0677500<NA>
7강원도한우령한우한우령한우연합사업단농협회사법인한우령한우축산물우육등록40-0798803<NA>
8춘천시소양강춘천시생산자, 생산자단체공통쌀등록40-0371008 외 7건<NA>
9춘천시수아르춘천시생산자, 생산자단체공통복숭아등록40-0772318외 4건<NA>
시군브랜드명브랜드소유자브랜드사용자부류명주품목등록여부등록번호신규여부
75양양군미천골토종꿀양양군수생산자, 생산자단체축산물토종꿀등록40-0504988<NA>
76양양군설악산꿀양양군수생산자, 생산자단체축산물양봉등록40-0504989<NA>
77양양군양양애우양양군수생산자, 생산자단체축산물한우등록40-0506779<NA>
78양양군설악산느타리버섯양양군수생산자, 생산자단체특작류느타리버섯등록40-0506782<NA>
79양양군설악산영지버섯양양군수생산자, 생산자단체특작류영지버섯등록40-0506784신규
80양양군양양오색한과양양군수생산자, 생산자단체농산가공한과등록40-0519104<NA>
81양양군오색전통장양양군수생산자, 생산자단체농산가공고추장등록40-0519105<NA>
82양양군오색민속주양양군수생산자, 생산자단체농산가공송화주등록40-0511188<NA>
83양양군양양해뜨미양양군수양양군수, 지역농협식량작물쌀등록40-0627784<NA>
84양양군양양산애진송양양군수양양군수, 송이가공업체농산가공과자류등록40-0821192 외 4건<NA>