Overview

Dataset statistics

Number of variables8
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory64.7 B

Variable types

Categorical2
Text4
Unsupported2

Dataset

Description2021년 1월 14일 기준 경기도 내 농촌 융·복합 산업 인증사업자 목록입니다.
Author경기도농수산진흥원
URLhttps://www.data.go.kr/data/15080791/fileData.do

Alerts

인증구분 is highly imbalanced (51.4%)Imbalance
인증업체 has unique valuesUnique
법인등록번호 has unique valuesUnique
소재지번주소 has unique valuesUnique
인증번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
인증일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:31:27.126915
Analysis finished2023-12-12 04:31:27.805612
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
파주시
25 
이천시
21 
양평군
17 
여주시
16 
남양주시
15 
Other values (14)
105 

Length

Max length4
Median length3
Mean length3.0753769
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row김포시
2nd row김포시
3rd row김포시
4th row고양시
5th row파주시

Common Values

ValueCountFrequency (%)
파주시 25
12.6%
이천시 21
10.6%
양평군 17
8.5%
여주시 16
 
8.0%
남양주시 15
 
7.5%
용인시 15
 
7.5%
화성시 14
 
7.0%
포천시 12
 
6.0%
안성시 11
 
5.5%
평택시 11
 
5.5%
Other values (9) 42
21.1%

Length

2023-12-12T13:31:27.869034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 25
12.6%
이천시 21
10.6%
양평군 17
8.5%
여주시 16
 
8.0%
남양주시 15
 
7.5%
용인시 15
 
7.5%
화성시 14
 
7.0%
포천시 12
 
6.0%
평택시 11
 
5.5%
안성시 11
 
5.5%
Other values (9) 42
21.1%

인증업체
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T13:31:28.132373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.115578
Min length2

Characters and Unicode

Total characters2013
Distinct characters315
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

Unique199 ?
Unique (%)100.0%

Sample

1st row김포파주인삼농업협동조합
2nd row농업회사법인 김포농식품 주식회사
3rd row농업회사법인 주식회사꿈드림
4th row농업회사법인 한국상황버섯㈜
5th row장단콩청정식품
ValueCountFrequency (%)
농업회사법인 49
 
14.7%
주식회사 43
 
12.9%
영농조합법인 15
 
4.5%
㈜ 5
 
1.5%
김포파주인삼농업협동조합 1
 
0.3%
청보 1
 
0.3%
토리샘 1
 
0.3%
그린토피아 1
 
0.3%
셰프류재은 1
 
0.3%
농업회사법인㈜ 1
 
0.3%
Other values (216) 216
64.7%
2023-12-12T13:31:28.610902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 155
 
7.7%
135
 
6.7%
사 125
 
6.2%
회 121
 
6.0%
인 109
 
5.4%
법 104
 
5.2%
업 74
 
3.7%
주 66
 
3.3%
식 59
 
2.9%
조 47
 
2.3%
Other values (305) 1018
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1838
91.3%
Space Separator 135
 
6.7%
Other Symbol 17
 
0.8%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Decimal Number 5
 
0.2%
Uppercase Letter 5
 
0.2%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 155
 
8.4%
사 125
 
6.8%
회 121
 
6.6%
인 109
 
5.9%
법 104
 
5.7%
업 74
 
4.0%
주 66
 
3.6%
식 59
 
3.2%
조 47
 
2.6%
합 42
 
2.3%
Other values (290) 936
50.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
F 1
20.0%
D 1
20.0%
M 1
20.0%
Z 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
4 1
 
20.0%
2 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
135
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1855
92.2%
Common 151
 
7.5%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 155
 
8.4%
사 125
 
6.7%
회 121
 
6.5%
인 109
 
5.9%
법 104
 
5.6%
업 74
 
4.0%
주 66
 
3.6%
식 59
 
3.2%
조 47
 
2.5%
합 42
 
2.3%
Other values (291) 953
51.4%
Common
ValueCountFrequency (%)
135
89.4%
( 5
 
3.3%
) 5
 
3.3%
1 3
 
2.0%
& 1
 
0.7%
4 1
 
0.7%
2 1
 
0.7%
Latin
ValueCountFrequency (%)
B 1
14.3%
F 1
14.3%
m 1
14.3%
D 1
14.3%
M 1
14.3%
Z 1
14.3%
k 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1838
91.3%
ASCII 158
 
7.8%
None 17
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 155
 
8.4%
사 125
 
6.8%
회 121
 
6.6%
인 109
 
5.9%
법 104
 
5.7%
업 74
 
4.0%
주 66
 
3.6%
식 59
 
3.2%
조 47
 
2.6%
합 42
 
2.3%
Other values (290) 936
50.9%
ASCII
ValueCountFrequency (%)
135
85.4%
( 5
 
3.2%
) 5
 
3.2%
1 3
 
1.9%
B 1
 
0.6%
F 1
 
0.6%
& 1
 
0.6%
4 1
 
0.6%
2 1
 
0.6%
m 1
 
0.6%
Other values (4) 4
 
2.5%
None
ValueCountFrequency (%)
㈜ 17
100.0%

법인등록번호
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T13:31:28.935820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2388
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

Unique199 ?
Unique (%)100.0%

Sample

1st row136-82-00116
2nd row137-86-08778
3rd row566-87-00156
4th row128-86-86805
5th row141-04-08086
ValueCountFrequency (%)
136-82-00116 1
 
0.5%
338-66-00110 1
 
0.5%
123-86-05428 1
 
0.5%
138-81-85337 1
 
0.5%
126-86-76918 1
 
0.5%
132-86-33345 1
 
0.5%
231-81-03876 1
 
0.5%
112-96-53744 1
 
0.5%
110-14-42681 1
 
0.5%
126-86-23110 1
 
0.5%
Other values (189) 189
95.0%
2023-12-12T13:31:29.393252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 398
16.7%
1 385
16.1%
8 250
10.5%
2 234
9.8%
0 207
8.7%
6 182
7.6%
3 168
7.0%
4 163
6.8%
9 138
 
5.8%
5 138
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1990
83.3%
Dash Punctuation 398
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 385
19.3%
8 250
12.6%
2 234
11.8%
0 207
10.4%
6 182
9.1%
3 168
8.4%
4 163
8.2%
9 138
 
6.9%
5 138
 
6.9%
7 125
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 398
16.7%
1 385
16.1%
8 250
10.5%
2 234
9.8%
0 207
8.7%
6 182
7.6%
3 168
7.0%
4 163
6.8%
9 138
 
5.8%
5 138
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 398
16.7%
1 385
16.1%
8 250
10.5%
2 234
9.8%
0 207
8.7%
6 182
7.6%
3 168
7.0%
4 163
6.8%
9 138
 
5.8%
5 138
 
5.8%

주요생산품목
Text

Distinct193
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T13:31:29.679138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length10.417085
Min length1

Characters and Unicode

Total characters2073
Distinct characters317
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)95.0%

Sample

1st row김포인삼쌀맥주, 홍삼가공
2nd row한과,미숫가루
3rd row플레인요거트, 구워먹는치즈
4th row상황버섯 음료
5th row청국장,된장,고추장
ValueCountFrequency (%)
고구마 12
 
3.3%
딸기 6
 
1.6%
사과 5
 
1.4%
원유 4
 
1.1%
허브 4
 
1.1%
표고버섯 4
 
1.1%
아로니아 4
 
1.1%
요거트 4
 
1.1%
쌀 4
 
1.1%
버섯류 3
 
0.8%
Other values (280) 316
86.3%
2023-12-12T13:31:30.137253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 267
 
12.9%
169
 
8.2%
고 40
 
1.9%
과 39
 
1.9%
아 36
 
1.7%
장 35
 
1.7%
마 32
 
1.5%
기 32
 
1.5%
섯 30
 
1.4%
버 30
 
1.4%
Other values (307) 1363
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1625
78.4%
Other Punctuation 268
 
12.9%
Space Separator 169
 
8.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 40
 
2.5%
과 39
 
2.4%
아 36
 
2.2%
장 35
 
2.2%
마 32
 
2.0%
기 32
 
2.0%
섯 30
 
1.8%
버 30
 
1.8%
사 30
 
1.8%
구 27
 
1.7%
Other values (301) 1294
79.6%
Other Punctuation
ValueCountFrequency (%)
, 267
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1625
78.4%
Common 447
 
21.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 40
 
2.5%
과 39
 
2.4%
아 36
 
2.2%
장 35
 
2.2%
마 32
 
2.0%
기 32
 
2.0%
섯 30
 
1.8%
버 30
 
1.8%
사 30
 
1.8%
구 27
 
1.7%
Other values (301) 1294
79.6%
Common
ValueCountFrequency (%)
, 267
59.7%
169
37.8%
) 5
 
1.1%
( 5
 
1.1%
. 1
 
0.2%
Latin
ValueCountFrequency (%)
K 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1624
78.3%
ASCII 448
 
21.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 267
59.6%
169
37.7%
) 5
 
1.1%
( 5
 
1.1%
. 1
 
0.2%
K 1
 
0.2%
Hangul
ValueCountFrequency (%)
고 40
 
2.5%
과 39
 
2.4%
아 36
 
2.2%
장 35
 
2.2%
마 32
 
2.0%
기 32
 
2.0%
섯 30
 
1.8%
버 30
 
1.8%
사 30
 
1.8%
구 27
 
1.7%
Other values (300) 1293
79.6%
Compat Jamo
ValueCountFrequency (%)
ㅕ 1
100.0%

인증구분
Categorical

IMBALANCE 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1*2*3형
133 
1*3형
39 
1*2형
18 
1*3
 
4
1*2*3
 
2
Other values (3)
 
3

Length

Max length6
Median length6
Mean length5.3316583
Min length3

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row1*2*3형
2nd row1*2*3형
3rd row1*2*3형
4th row1*2*3형
5th row1*2형

Common Values

ValueCountFrequency (%)
1*2*3형 133
66.8%
1*3형 39
 
19.6%
1*2형 18
 
9.0%
1*3 4
 
2.0%
1*2*3 2
 
1.0%
1*3차형 1
 
0.5%
1*2차형 1
 
0.5%
1*2 1
 
0.5%

Length

2023-12-12T13:31:30.304249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:31:30.425592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1*2*3형 133
66.8%
1*3형 39
 
19.6%
1*2형 18
 
9.0%
1*3 4
 
2.0%
1*2*3 2
 
1.0%
1*3차형 1
 
0.5%
1*2차형 1
 
0.5%
1*2 1
 
0.5%

인증번호
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.7 KiB

인증일자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size1.7 KiB

소재지번주소
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T13:31:30.691857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length29
Mean length22.678392
Min length14

Characters and Unicode

Total characters4513
Distinct characters234
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

Unique199 ?
Unique (%)100.0%

Sample

1st row경기도 김포시 통진읍 조강로 47
2nd row경기도 김포시 하성면 봉성로 188-11
3rd row경기도 김포시 통진읍 귀전로 56번길 187
4th row경기도 고양시 일산서구 대화로 52, 가동
5th row경기도 파주시 군내면 통일촌길 217
ValueCountFrequency (%)
경기도 194
 
18.9%
파주시 25
 
2.4%
이천시 21
 
2.0%
양평군 17
 
1.7%
여주시 16
 
1.6%
용인시 15
 
1.5%
남양주시 14
 
1.4%
처인구 14
 
1.4%
화성시 14
 
1.4%
포천시 12
 
1.2%
Other values (510) 686
66.7%
2023-12-12T13:31:31.566474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
834
 
18.5%
도 199
 
4.4%
경 195
 
4.3%
기 195
 
4.3%
1 173
 
3.8%
시 169
 
3.7%
면 132
 
2.9%
로 121
 
2.7%
길 112
 
2.5%
2 112
 
2.5%
Other values (224) 2271
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2684
59.5%
Decimal Number 851
 
18.9%
Space Separator 834
 
18.5%
Dash Punctuation 96
 
2.1%
Other Punctuation 18
 
0.4%
Close Punctuation 15
 
0.3%
Open Punctuation 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 199
 
7.4%
경 195
 
7.3%
기 195
 
7.3%
시 169
 
6.3%
면 132
 
4.9%
로 121
 
4.5%
길 112
 
4.2%
주 62
 
2.3%
양 61
 
2.3%
번 55
 
2.0%
Other values (209) 1383
51.5%
Decimal Number
ValueCountFrequency (%)
1 173
20.3%
2 112
13.2%
3 106
12.5%
4 81
9.5%
6 70
8.2%
5 66
 
7.8%
7 65
 
7.6%
0 63
 
7.4%
8 60
 
7.1%
9 55
 
6.5%
Space Separator
ValueCountFrequency (%)
834
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2684
59.5%
Common 1829
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 199
 
7.4%
경 195
 
7.3%
기 195
 
7.3%
시 169
 
6.3%
면 132
 
4.9%
로 121
 
4.5%
길 112
 
4.2%
주 62
 
2.3%
양 61
 
2.3%
번 55
 
2.0%
Other values (209) 1383
51.5%
Common
ValueCountFrequency (%)
834
45.6%
1 173
 
9.5%
2 112
 
6.1%
3 106
 
5.8%
- 96
 
5.2%
4 81
 
4.4%
6 70
 
3.8%
5 66
 
3.6%
7 65
 
3.6%
0 63
 
3.4%
Other values (5) 163
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2684
59.5%
ASCII 1829
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
834
45.6%
1 173
 
9.5%
2 112
 
6.1%
3 106
 
5.8%
- 96
 
5.2%
4 81
 
4.4%
6 70
 
3.8%
5 66
 
3.6%
7 65
 
3.6%
0 63
 
3.4%
Other values (5) 163
 
8.9%
Hangul
ValueCountFrequency (%)
도 199
 
7.4%
경 195
 
7.3%
기 195
 
7.3%
시 169
 
6.3%
면 132
 
4.9%
로 121
 
4.5%
길 112
 
4.2%
주 62
 
2.3%
양 61
 
2.3%
번 55
 
2.0%
Other values (209) 1383
51.5%

Correlations

2023-12-12T13:31:31.715992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인증구분
시군명1.0000.040
인증구분0.0401.000
2023-12-12T13:31:31.859906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분시군명
인증구분1.0000.000
시군명0.0001.000
2023-12-12T13:31:31.987181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인증구분
시군명1.0000.000
인증구분0.0001.000

Missing values

2023-12-12T13:31:27.618337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:31:27.761380image/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

시군명인증업체법인등록번호주요생산품목인증구분인증번호인증일자소재지번주소
0김포시김포파주인삼농업협동조합136-82-00116김포인삼쌀맥주, 홍삼가공1*2*3형2015-09-0012015-09-001경기도 김포시 통진읍 조강로 47
1김포시농업회사법인 김포농식품 주식회사137-86-08778한과,미숫가루1*2*3형2015-09-0022015-09-002경기도 김포시 하성면 봉성로 188-11
2김포시농업회사법인 주식회사꿈드림566-87-00156플레인요거트, 구워먹는치즈1*2*3형2015-09-0032015-09-003경기도 김포시 통진읍 귀전로 56번길 187
3고양시농업회사법인 한국상황버섯㈜128-86-86805상황버섯 음료1*2*3형2015-09-0052015-09-005경기도 고양시 일산서구 대화로 52, 가동
4파주시장단콩청정식품141-04-08086청국장,된장,고추장1*2형2015-09-0062015-09-006경기도 파주시 군내면 통일촌길 217
5양평군광이원132-05-76796된장, 청국장1*2*3형2015-09-0082015-09-008경기도 양평군 용문면 용문산로 120-11
6양평군영농조합법인 다물농산132-81-30585다물유과1*2*3형2015-09-0102015-09-010경기도 양평군 강상면 옹주능길 65
7남양주시대가농원132-14-78781딸기1*3형2015-09-0112015-09-011경기도 남양주시 조안면 다산로 761번길 15
8포천시애플빌231-01-47741사과 가공품1*2*3형2015-09-0122015-09-012경기도 포천시 신북면 호국로 2233
9고양시자연그대로 영농조합법인128-86-92404절임배추,장담그기,김장체험1*3형2015-09-0142015-09-014경기도 고양시 일산동구 산황로 178-67(산황동)
시군명인증업체법인등록번호주요생산품목인증구분인증번호인증일자소재지번주소
189고양시농업회사법인 파머스가든 체험가든629-86-00765감자, 고구마1*3차형2020-09-0162020-09-016경기도 고양시 일산서구 덕이동 926-4
190여주시주식회사 농업회사법인거산126-81-85348고구마1*2차형2020-09-0172020-09-017경기도 여주시 북내면 신접2길 59
191용인시농업회사법인 행복한사과 주식회사142-81-55259배즙,포도즙,칡즙,사과즙1*2형2020-09-0182020-09-018경기도 용인시 처인구 모현읍 파담로 36, 씨동 1층 1호
192남양주시흙과나무132-05-84530채소1*32020-09-0192020-09-019경기도 남양주시 별내면 용암제청말길 82-13
193양평군농업회사법인 주식회사 산수들향기132-86-10833딸기, 백향과1*32020-09-0202020-09-020경기도 양평군 양동면 산수말길 19
194용인시주식회사 그리니쉬 농업회사법인127-81-88294화훼1*2*32020-09-0212020-09-021경기도 용인시 처인구 남사면 방아로106번길 37
195화성시원평허브농원143-90-13235농촌체험1*32020-09-0222020-09-022경기도 화성시 매송면 매봉로 40-16, 1층
196화성시꽃마루농원227-16-51236콩, 두부, 콩물1*32020-09-0232020-09-023경기도 화성시 송산면 송산포도로 546-9
197화성시필레오 협동조합143-81-12025다류, 쌀과자류1*2*32020-09-0242020-09-024경기도 화성시 향남읍 상신초교길 52, 2층 9호
198연천군농업회사법인한여울바이오밸리주식회사127-86-29742상황버섯, 상황버섯액, 상황버섯발효ㅕ추출액1*22020-09-0252020-09-025경기도 연천군 군남면 청정로2310번길 155-32