Overview

Dataset statistics

Number of variables13
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory111.9 B

Variable types

Numeric3
Categorical5
Text2
DateTime3

Dataset

Description경기도 양주시 친환경 인증정보 관련한 데이터이므로 인증기관, 대표품목, 인증분류, 생산자 등의 항목들을 포함하고 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/3077089/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관번호 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 인증번호 and 1 other fieldsHigh correlation
인증번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
재배면적(제곱미터) is highly overall correlated with 인증분류 and 1 other fieldsHigh correlation
인증분류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
농가수 is highly overall correlated with 재배면적(제곱미터)High correlation
인증분류 is highly imbalanced (56.1%)Imbalance
농가수 is highly imbalanced (80.4%)Imbalance
연번 has unique valuesUnique
인증번호 has unique valuesUnique
재배면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:02:36.686666
Analysis finished2024-03-14 09:02:40.250357
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T18:02:40.418357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2024-03-14T18:02:40.822270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

인증기관
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size392.0 B
(주)우리농인증원
11 
주식회사 에코리더스인증원
9 
(주)한국유기농인증원
6 
주식회사 케이에이에프씨씨
5 
(주)인증포럼
 
1

Length

Max length15
Median length13
Mean length13.121212
Min length9

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row (주)한국유기농인증원
2nd row (주)우리농인증원
3rd row (주)우리농인증원
4th row (주)우리농인증원
5th row 주식회사 케이에이에프씨씨

Common Values

ValueCountFrequency (%)
(주)우리농인증원 11
33.3%
주식회사 에코리더스인증원 9
27.3%
(주)한국유기농인증원 6
18.2%
주식회사 케이에이에프씨씨 5
15.2%
(주)인증포럼 1
 
3.0%
주식회사 농식품인증관리원 1
 
3.0%

Length

2024-03-14T18:02:41.259698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:41.612787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주식회사 15
31.2%
주)우리농인증원 11
22.9%
에코리더스인증원 9
18.8%
주)한국유기농인증원 6
 
12.5%
케이에이에프씨씨 5
 
10.4%
주)인증포럼 1
 
2.1%
농식품인증관리원 1
 
2.1%

인증번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10286728
Minimum10100832
Maximum10307158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T18:02:42.004598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10100832
5-th percentile10101181
Q110304165
median10305351
Q310306368
95-th percentile10306893
Maximum10307158
Range206326
Interquartile range (IQR)2203

Descriptive statistics

Standard deviation59641.762
Coefficient of variation (CV)0.0057979334
Kurtosis7.3335715
Mean10286728
Median Absolute Deviation (MAD)1091
Skewness-2.9809567
Sum3.3946201 × 108
Variance3.5571398 × 109
MonotonicityStrictly increasing
2024-03-14T18:02:42.415781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
10100832 1
 
3.0%
10306442 1
 
3.0%
10305871 1
 
3.0%
10306125 1
 
3.0%
10306126 1
 
3.0%
10306217 1
 
3.0%
10306309 1
 
3.0%
10306368 1
 
3.0%
10306528 1
 
3.0%
10101009 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
10100832 1
3.0%
10101009 1
3.0%
10101295 1
3.0%
10302211 1
3.0%
10303424 1
3.0%
10303459 1
3.0%
10303631 1
3.0%
10303658 1
3.0%
10304165 1
3.0%
10304262 1
3.0%
ValueCountFrequency (%)
10307158 1
3.0%
10306897 1
3.0%
10306891 1
3.0%
10306745 1
3.0%
10306726 1
3.0%
10306701 1
3.0%
10306528 1
3.0%
10306442 1
3.0%
10306368 1
3.0%
10306309 1
3.0%

대표품목
Text

Distinct22
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-03-14T18:02:43.087003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.6363636
Min length1

Characters and Unicode

Total characters87
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)42.4%

Sample

1st row케일
2nd row배
3rd row배
4th row여주
5th row메리골드
ValueCountFrequency (%)
벼 4
 
12.1%
여주 3
 
9.1%
애호박 2
 
6.1%
찰벼 2
 
6.1%
느타리버섯 2
 
6.1%
양배추 2
 
6.1%
배 2
 
6.1%
천년초 2
 
6.1%
케일 1
 
3.0%
대파 1
 
3.0%
Other values (12) 12
36.4%
2024-03-14T18:02:44.142348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 6
 
6.9%
배 4
 
4.6%
리 4
 
4.6%
버 4
 
4.6%
섯 4
 
4.6%
주 3
 
3.4%
여 3
 
3.4%
추 3
 
3.4%
양 3
 
3.4%
이 2
 
2.3%
Other values (41) 51
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 6
 
6.9%
배 4
 
4.6%
리 4
 
4.6%
버 4
 
4.6%
섯 4
 
4.6%
주 3
 
3.4%
여 3
 
3.4%
추 3
 
3.4%
양 3
 
3.4%
이 2
 
2.3%
Other values (41) 51
58.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 6
 
6.9%
배 4
 
4.6%
리 4
 
4.6%
버 4
 
4.6%
섯 4
 
4.6%
주 3
 
3.4%
여 3
 
3.4%
추 3
 
3.4%
양 3
 
3.4%
이 2
 
2.3%
Other values (41) 51
58.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 6
 
6.9%
배 4
 
4.6%
리 4
 
4.6%
버 4
 
4.6%
섯 4
 
4.6%
주 3
 
3.4%
여 3
 
3.4%
추 3
 
3.4%
양 3
 
3.4%
이 2
 
2.3%
Other values (41) 51
58.6%

인증분류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
무농약농산물
30 
유기농산물
 
3

Length

Max length6
Median length6
Mean length5.9090909
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유기농산물
2nd row유기농산물
3rd row유기농산물
4th row무농약농산물
5th row무농약농산물

Common Values

ValueCountFrequency (%)
무농약농산물 30
90.9%
유기농산물 3
 
9.1%

Length

2024-03-14T18:02:44.562372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:44.890826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무농약농산물 30
90.9%
유기농산물 3
 
9.1%

생산자
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-03-14T18:02:45.582084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length4.6969697
Min length3

Characters and Unicode

Total characters155
Distinct characters86
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

Unique31 ?
Unique (%)93.9%

Sample

1st row백운기
2nd row박관민
3rd row유기홍
4th row농업회사법인 아름담(주)
5th row허혜윤
ValueCountFrequency (%)
이석모 2
 
5.6%
박미자 1
 
2.8%
조규만 1
 
2.8%
양상모 1
 
2.8%
이남용 1
 
2.8%
안태울영농조합법인 1
 
2.8%
최병섭 1
 
2.8%
이홍순 1
 
2.8%
박혜련 1
 
2.8%
김윤식 1
 
2.8%
Other values (25) 25
69.4%
2024-03-14T18:02:46.797298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9
 
5.8%
농 6
 
3.9%
인 5
 
3.2%
법 4
 
2.6%
기 4
 
2.6%
주 4
 
2.6%
조 3
 
1.9%
석 3
 
1.9%
) 3
 
1.9%
( 3
 
1.9%
Other values (76) 111
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
94.2%
Close Punctuation 3
 
1.9%
Open Punctuation 3
 
1.9%
Space Separator 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
6.2%
농 6
 
4.1%
인 5
 
3.4%
법 4
 
2.7%
기 4
 
2.7%
주 4
 
2.7%
조 3
 
2.1%
석 3
 
2.1%
김 3
 
2.1%
양 3
 
2.1%
Other values (73) 102
69.9%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
94.2%
Common 9
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
6.2%
농 6
 
4.1%
인 5
 
3.4%
법 4
 
2.7%
기 4
 
2.7%
주 4
 
2.7%
조 3
 
2.1%
석 3
 
2.1%
김 3
 
2.1%
양 3
 
2.1%
Other values (73) 102
69.9%
Common
ValueCountFrequency (%)
) 3
33.3%
( 3
33.3%
3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
94.2%
ASCII 9
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9
 
6.2%
농 6
 
4.1%
인 5
 
3.4%
법 4
 
2.7%
기 4
 
2.7%
주 4
 
2.7%
조 3
 
2.1%
석 3
 
2.1%
김 3
 
2.1%
양 3
 
2.1%
Other values (73) 102
69.9%
ASCII
ValueCountFrequency (%)
) 3
33.3%
( 3
33.3%
3
33.3%

농가수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
1
32 
10
 
1

Length

Max length2
Median length1
Mean length1.030303
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
97.0%
10 1
 
3.0%

Length

2024-03-14T18:02:47.215306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:47.534854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
97.0%
10 1
 
3.0%

인증기간시작일
Date

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size392.0 B
Minimum2022-12-14 00:00:00
Maximum2023-11-10 00:00:00
2024-03-14T18:02:47.841972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:48.240287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인증기간종료일
Date

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size392.0 B
Minimum2023-12-13 00:00:00
Maximum2024-11-09 00:00:00
2024-03-14T18:02:48.597011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:48.967684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

재배면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11917.788
Minimum329
Maximum66920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T18:02:49.336867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329
5-th percentile418.6
Q13000
median6350
Q315085
95-th percentile38928.2
Maximum66920
Range66591
Interquartile range (IQR)12085

Descriptive statistics

Standard deviation14524.962
Coefficient of variation (CV)1.2187632
Kurtosis5.8855195
Mean11917.788
Median Absolute Deviation (MAD)4650
Skewness2.2628477
Sum393287
Variance2.1097451 × 108
MonotonicityNot monotonic
2024-03-14T18:02:49.742499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
29547 1
 
3.0%
1050 1
 
3.0%
35233 1
 
3.0%
6350 1
 
3.0%
15085 1
 
3.0%
3750 1
 
3.0%
4181 1
 
3.0%
2640 1
 
3.0%
11741 1
 
3.0%
20642 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
329 1
3.0%
346 1
3.0%
467 1
3.0%
1050 1
3.0%
1700 1
3.0%
1717 1
3.0%
2220 1
3.0%
2640 1
3.0%
3000 1
3.0%
3300 1
3.0%
ValueCountFrequency (%)
66920 1
3.0%
44471 1
3.0%
35233 1
3.0%
29547 1
3.0%
25583 1
3.0%
20642 1
3.0%
16833 1
3.0%
16554 1
3.0%
15085 1
3.0%
14495 1
3.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
양주시 농업정책과
33 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시 농업정책과
2nd row양주시 농업정책과
3rd row양주시 농업정책과
4th row양주시 농업정책과
5th row양주시 농업정책과

Common Values

ValueCountFrequency (%)
양주시 농업정책과 33
100.0%

Length

2024-03-14T18:02:50.146001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:50.455048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 33
50.0%
농업정책과 33
50.0%

관리기관번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
031-8082-6123
33 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8082-6123
2nd row031-8082-6123
3rd row031-8082-6123
4th row031-8082-6123
5th row031-8082-6123

Common Values

ValueCountFrequency (%)
031-8082-6123 33
100.0%

Length

2024-03-14T18:02:50.774533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:02:51.079901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8082-6123 33
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
Minimum2024-01-02 00:00:00
Maximum2024-01-02 00:00:00
2024-03-14T18:02:51.332135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:51.635148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T18:02:38.593809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:37.586443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:38.091974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:38.848438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:37.797971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:38.232760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:39.093233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:37.936570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:02:38.373769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:02:51.857682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인증기관인증번호대표품목인증분류생산자농가수인증기간시작일인증기간종료일재배면적(제곱미터)
연번1.0000.5270.8770.8430.9370.9100.3050.9840.9840.000
인증기관0.5271.0000.0000.9600.0001.0000.0000.0000.0000.000
인증번호0.8770.0001.0001.0000.9071.0000.0001.0001.0000.347
대표품목0.8430.9601.0001.0001.0001.0000.0000.9580.9580.861
인증분류0.9370.0000.9071.0001.0001.0000.0001.0001.0000.802
생산자0.9101.0001.0001.0001.0001.0001.0000.9720.9720.971
농가수0.3050.0000.0000.0000.0001.0001.0001.0001.0001.000
인증기간시작일0.9840.0001.0000.9581.0000.9721.0001.0001.0000.981
인증기간종료일0.9840.0001.0000.9581.0000.9721.0001.0001.0000.981
재배면적(제곱미터)0.0000.0000.3470.8610.8020.9711.0000.9810.9811.000
2024-03-14T18:02:52.349547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증기관농가수인증분류
인증기관1.0000.0000.000
농가수0.0001.0000.000
인증분류0.0000.0001.000
2024-03-14T18:02:52.599135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인증번호재배면적(제곱미터)인증기관인증분류농가수
연번1.0001.000-0.2480.2880.6770.180
인증번호1.0001.000-0.2480.0000.8100.000
재배면적(제곱미터)-0.248-0.2481.0000.0000.5610.898
인증기관0.2880.0000.0001.0000.0000.000
인증분류0.6770.8100.5610.0001.0000.000
농가수0.1800.0000.8980.0000.0001.000

Missing values

2024-03-14T18:02:39.471695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:02:40.028025image/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

연번인증기관인증번호대표품목인증분류생산자농가수인증기간시작일인증기간종료일재배면적(제곱미터)관리기관명관리기관번호데이터기준일
01(주)한국유기농인증원10100832케일유기농산물백운기12023-04-252024-04-2429547양주시 농업정책과031-8082-61232024-01-02
12(주)우리농인증원10101009배유기농산물박관민12023-06-262024-06-2520642양주시 농업정책과031-8082-61232024-01-02
23(주)우리농인증원10101295배유기농산물유기홍12023-08-242024-08-2313100양주시 농업정책과031-8082-61232024-01-02
34(주)우리농인증원10302211여주무농약농산물농업회사법인 아름담(주)12023-07-242024-07-236150양주시 농업정책과031-8082-61232024-01-02
45주식회사 케이에이에프씨씨10303424메리골드무농약농산물허혜윤12023-09-082024-09-073300양주시 농업정책과031-8082-61232024-01-02
56(주)우리농인증원10303459무청무농약농산물이훈길12023-08-282024-08-275510양주시 농업정책과031-8082-61232024-01-02
67(주)우리농인증원10303631벼무농약농산물이원용12023-09-062024-09-053900양주시 농업정책과031-8082-61232024-01-02
78(주)우리농인증원10303658찰벼무농약농산물양주친환경쌀연구회102023-09-232024-09-2266920양주시 농업정책과031-8082-61232024-01-02
89주식회사 케이에이에프씨씨10304165고구마무농약농산물양주시농업인영농조합법인 장효근12023-10-192024-10-189310양주시 농업정책과031-8082-61232024-01-02
910(주)한국유기농인증원10304262영양부추무농약농산물송원규12023-11-102024-11-0925583양주시 농업정책과031-8082-61232024-01-02
연번인증기관인증번호대표품목인증분류생산자농가수인증기간시작일인증기간종료일재배면적(제곱미터)관리기관명관리기관번호데이터기준일
2324(주)한국유기농인증원10306309양배추무농약농산물이석모12023-05-042024-05-034181양주시 농업정책과031-8082-61232024-01-02
2425(주)한국유기농인증원10306368여주무농약농산물박미자12023-06-082024-06-072640양주시 농업정책과031-8082-61232024-01-02
2526(주)한국유기농인증원10306442여주무농약농산물박혜련12023-08-042024-08-031050양주시 농업정책과031-8082-61232024-01-02
2627(주)한국유기농인증원10306528양배추무농약농산물이석모12023-09-012024-08-3111741양주시 농업정책과031-8082-61232024-01-02
2728주식회사 케이에이에프씨씨10306701아이스플랜트무농약농산물농업회사법인(주)동미12023-04-182024-04-173000양주시 농업정책과031-8082-61232024-01-02
2829(주)인증포럼10306726목이버섯무농약농산물엄태성12023-05-182024-05-17467양주시 농업정책과031-8082-61232024-01-02
2930(주)우리농인증원10306745블루베리무농약농산물김덕기12023-06-022024-06-012220양주시 농업정책과031-8082-61232024-01-02
3031주식회사 에코리더스인증원10306891벼무농약농산물김진흥12023-09-082024-09-078308양주시 농업정책과031-8082-61232024-01-02
3132주식회사 농식품인증관리원10306897들깨무농약농산물철난농부(이상란)12023-09-082024-09-071717양주시 농업정책과031-8082-61232024-01-02
3233주식회사 에코리더스인증원10307158감자무농약농산물민병기12023-06-072024-06-0644471양주시 농업정책과031-8082-61232024-01-02