Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory810.5 KiB
Average record size in memory83.0 B

Variable types

Numeric3
Categorical2
Text2
DateTime2

Dataset

Description무농약, 유기농산물, 유기축산물, 무항생제축산물, 친환경인증을 받은 농축산물에 대한 인증정보(인증번호, 인증종류, 인증품목, 재배면적, 생산계획량, 인증기간, 원재료인증구분 등 정보)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181019000000000977

Alerts

원재료인증구분 is highly overall correlated with 재배(작업장)면적(사육두수) and 1 other fieldsHigh correlation
인증종류명 is highly overall correlated with 원재료인증구분High correlation
재배(작업장)면적(사육두수) is highly overall correlated with 원재료인증구분High correlation
원재료인증구분 is highly imbalanced (80.3%)Imbalance
재배(작업장)면적(사육두수) is highly skewed (γ1 = 20.6206055)Skewed
생산(수입)계획량 is highly skewed (γ1 = 90.58673963)Skewed

Reproduction

Analysis started2024-03-23 07:40:32.067409
Analysis finished2024-03-23 07:40:38.313054
Duration6.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Real number (ℝ)

Distinct5985
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12346647
Minimum1300013
Maximum15304771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:40:38.528512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300013
5-th percentile7300021.5
Q110600077
median13100460
Q314600154
95-th percentile15105494
Maximum15304771
Range14004758
Interquartile range (IQR)4000076.8

Descriptive statistics

Standard deviation2740916.6
Coefficient of variation (CV)0.22199683
Kurtosis3.3889168
Mean12346647
Median Absolute Deviation (MAD)2000580.5
Skewness-1.5438683
Sum1.2346647 × 1011
Variance7.5126238 × 1012
MonotonicityNot monotonic
2024-03-23T07:40:39.113110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12100774 36
 
0.4%
13100914 29
 
0.3%
4100031 27
 
0.3%
13100449 25
 
0.2%
13100641 24
 
0.2%
13100916 21
 
0.2%
13100603 21
 
0.2%
13100609 17
 
0.2%
10100714 16
 
0.2%
15100578 15
 
0.1%
Other values (5975) 9769
97.7%
ValueCountFrequency (%)
1300013 2
 
< 0.1%
1300018 1
 
< 0.1%
1300019 1
 
< 0.1%
1300021 2
 
< 0.1%
1300022 2
 
< 0.1%
1300024 2
 
< 0.1%
1301135 6
0.1%
1301136 4
< 0.1%
1301138 5
0.1%
1301141 1
 
< 0.1%
ValueCountFrequency (%)
15304771 1
< 0.1%
15304762 2
< 0.1%
15304758 1
< 0.1%
15304748 1
< 0.1%
15304594 1
< 0.1%
15304464 1
< 0.1%
15304446 2
< 0.1%
15304445 2
< 0.1%
15304405 2
< 0.1%
15304319 2
< 0.1%

인증종류명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유기농산물
4685 
무농약농산물
3913 
취급자
832 
무항생제축산물
 
450
유기가공식품
 
89
Other values (3)
 
31

Length

Max length9
Median length8
Mean length5.332
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유기농산물 4685
46.9%
무농약농산물 3913
39.1%
취급자 832
 
8.3%
무항생제축산물 450
 
4.5%
유기가공식품 89
 
0.9%
무농약원료가공식품 16
 
0.2%
유기축산물 9
 
0.1%
비식용유기가공품 6
 
0.1%

Length

2024-03-23T07:40:39.559999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:40:39.932850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유기농산물 4685
46.9%
무농약농산물 3913
39.1%
취급자 832
 
8.3%
무항생제축산물 450
 
4.5%
유기가공식품 89
 
0.9%
무농약원료가공식품 16
 
0.2%
유기축산물 9
 
0.1%
비식용유기가공품 6
 
0.1%

인증농가
Text

Distinct6510
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T07:40:40.614395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length3
Mean length3.1985
Min length2

Characters and Unicode

Total characters31985
Distinct characters386
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

Unique4790 ?
Unique (%)47.9%

Sample

1st row이국무
2nd row신옥교
3rd row곽청희
4th row이기영
5th row강경일
ValueCountFrequency (%)
박홍진 30
 
0.3%
김정수 29
 
0.3%
임성실 19
 
0.2%
고재평 19
 
0.2%
강희석 18
 
0.2%
이의영 15
 
0.1%
김행숙 14
 
0.1%
신명현 12
 
0.1%
최경희 12
 
0.1%
안치홍 11
 
0.1%
Other values (6581) 9961
98.2%
2024-03-23T07:40:41.860424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1978
 
6.2%
이 1545
 
4.8%
정 1036
 
3.2%
박 882
 
2.8%
영 876
 
2.7%
성 558
 
1.7%
수 542
 
1.7%
순 530
 
1.7%
용 497
 
1.6%
최 475
 
1.5%
Other values (376) 23066
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31487
98.4%
Close Punctuation 161
 
0.5%
Open Punctuation 161
 
0.5%
Space Separator 140
 
0.4%
Other Punctuation 31
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1978
 
6.3%
이 1545
 
4.9%
정 1036
 
3.3%
박 882
 
2.8%
영 876
 
2.8%
성 558
 
1.8%
수 542
 
1.7%
순 530
 
1.7%
용 497
 
1.6%
최 475
 
1.5%
Other values (368) 22568
71.7%
Other Punctuation
ValueCountFrequency (%)
, 28
90.3%
/ 2
 
6.5%
: 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
1 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31487
98.4%
Common 498
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1978
 
6.3%
이 1545
 
4.9%
정 1036
 
3.3%
박 882
 
2.8%
영 876
 
2.8%
성 558
 
1.8%
수 542
 
1.7%
순 530
 
1.7%
용 497
 
1.6%
최 475
 
1.5%
Other values (368) 22568
71.7%
Common
ValueCountFrequency (%)
) 161
32.3%
( 161
32.3%
140
28.1%
, 28
 
5.6%
2 4
 
0.8%
/ 2
 
0.4%
: 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31487
98.4%
ASCII 498
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1978
 
6.3%
이 1545
 
4.9%
정 1036
 
3.3%
박 882
 
2.8%
영 876
 
2.8%
성 558
 
1.8%
수 542
 
1.7%
순 530
 
1.7%
용 497
 
1.6%
최 475
 
1.5%
Other values (368) 22568
71.7%
ASCII
ValueCountFrequency (%)
) 161
32.3%
( 161
32.3%
140
28.1%
, 28
 
5.6%
2 4
 
0.8%
/ 2
 
0.4%
: 1
 
0.2%
1 1
 
0.2%

인증품목명
Text

Distinct625
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T07:40:42.352562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length2.6921
Min length1

Characters and Unicode

Total characters26921
Distinct characters386
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)1.9%

Sample

1st row고추
2nd row풋고추
3rd row벼
4th row벼
5th row찰벼
ValueCountFrequency (%)
벼 2104
 
20.9%
한우(식육 289
 
2.9%
찰벼 263
 
2.6%
밤 253
 
2.5%
감자 187
 
1.9%
블루베리 153
 
1.5%
양파 138
 
1.4%
무 124
 
1.2%
돼지(식육 122
 
1.2%
이탈리안라이그라스 107
 
1.1%
Other values (627) 6315
62.8%
2024-03-23T07:40:43.118250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 2415
 
9.0%
리 871
 
3.2%
추 828
 
3.1%
류 733
 
2.7%
( 731
 
2.7%
) 731
 
2.7%
고 646
 
2.4%
육 623
 
2.3%
식 537
 
2.0%
채 479
 
1.8%
Other values (376) 18327
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25296
94.0%
Open Punctuation 731
 
2.7%
Close Punctuation 731
 
2.7%
Lowercase Letter 87
 
0.3%
Space Separator 55
 
0.2%
Uppercase Letter 8
 
< 0.1%
Decimal Number 8
 
< 0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 2415
 
9.5%
리 871
 
3.4%
추 828
 
3.3%
류 733
 
2.9%
고 646
 
2.6%
육 623
 
2.5%
식 537
 
2.1%
채 479
 
1.9%
이 437
 
1.7%
마 399
 
1.6%
Other values (356) 17328
68.5%
Lowercase Letter
ValueCountFrequency (%)
a 22
25.3%
h 14
16.1%
t 8
 
9.2%
s 8
 
9.2%
r 7
 
8.0%
n 7
 
8.0%
w 7
 
8.0%
e 7
 
8.0%
o 7
 
8.0%
Decimal Number
ValueCountFrequency (%)
7 2
25.0%
5 2
25.0%
0 2
25.0%
9 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 7
87.5%
O 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
% 4
80.0%
. 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 731
100.0%
Close Punctuation
ValueCountFrequency (%)
) 731
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25296
94.0%
Common 1530
 
5.7%
Latin 95
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 2415
 
9.5%
리 871
 
3.4%
추 828
 
3.3%
류 733
 
2.9%
고 646
 
2.6%
육 623
 
2.5%
식 537
 
2.1%
채 479
 
1.9%
이 437
 
1.7%
마 399
 
1.6%
Other values (356) 17328
68.5%
Latin
ValueCountFrequency (%)
a 22
23.2%
h 14
14.7%
t 8
 
8.4%
s 8
 
8.4%
r 7
 
7.4%
K 7
 
7.4%
n 7
 
7.4%
w 7
 
7.4%
e 7
 
7.4%
o 7
 
7.4%
Common
ValueCountFrequency (%)
( 731
47.8%
) 731
47.8%
55
 
3.6%
% 4
 
0.3%
7 2
 
0.1%
5 2
 
0.1%
0 2
 
0.1%
9 2
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25296
94.0%
ASCII 1625
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 2415
 
9.5%
리 871
 
3.4%
추 828
 
3.3%
류 733
 
2.9%
고 646
 
2.6%
육 623
 
2.5%
식 537
 
2.1%
채 479
 
1.9%
이 437
 
1.7%
마 399
 
1.6%
Other values (356) 17328
68.5%
ASCII
ValueCountFrequency (%)
( 731
45.0%
) 731
45.0%
55
 
3.4%
a 22
 
1.4%
h 14
 
0.9%
t 8
 
0.5%
s 8
 
0.5%
r 7
 
0.4%
K 7
 
0.4%
n 7
 
0.4%
Other values (10) 35
 
2.2%

재배(작업장)면적(사육두수)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4931
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7005.0001
Minimum0
Maximum1057536
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:40:43.403366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.98
Q1320
median1674
Q35569
95-th percentile27457.65
Maximum1057536
Range1057536
Interquartile range (IQR)5249

Descriptive statistics

Standard deviation26203.724
Coefficient of variation (CV)3.7407171
Kurtosis641.81577
Mean7005.0001
Median Absolute Deviation (MAD)1542
Skewness20.620605
Sum70050001
Variance6.8663513 × 108
MonotonicityNot monotonic
2024-03-23T07:40:43.782534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 257
 
2.6%
200.0 192
 
1.9%
300.0 157
 
1.6%
1000.0 143
 
1.4%
50.0 136
 
1.4%
500.0 130
 
1.3%
330.0 109
 
1.1%
600.0 90
 
0.9%
400.0 87
 
0.9%
150.0 86
 
0.9%
Other values (4921) 8613
86.1%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
1.0 6
0.1%
2.0 4
 
< 0.1%
3.0 8
0.1%
3.3 3
 
< 0.1%
3.4 1
 
< 0.1%
3.5 1
 
< 0.1%
5.0 14
0.1%
6.0 1
 
< 0.1%
7.0 2
 
< 0.1%
ValueCountFrequency (%)
1057536.0 1
< 0.1%
1025610.0 1
< 0.1%
718604.7 1
< 0.1%
620000.0 1
< 0.1%
546000.0 1
< 0.1%
522240.0 1
< 0.1%
496800.0 1
< 0.1%
420000.0 1
< 0.1%
409150.0 1
< 0.1%
370440.0 1
< 0.1%

생산(수입)계획량
Real number (ℝ)

SKEWED 

Distinct2621
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59448.172
Minimum0
Maximum1.5192 × 108
Zeros97
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:40:44.057013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1500
median2050
Q37223.75
95-th percentile89810
Maximum1.5192 × 108
Range1.5192 × 108
Interquartile range (IQR)6723.75

Descriptive statistics

Standard deviation1572456.1
Coefficient of variation (CV)26.450874
Kurtosis8706.7757
Mean59448.172
Median Absolute Deviation (MAD)1950
Skewness90.58674
Sum5.9448172 × 108
Variance2.4726181 × 1012
MonotonicityNot monotonic
2024-03-23T07:40:44.335999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 388
 
3.9%
100.0 327
 
3.3%
500.0 307
 
3.1%
2000.0 272
 
2.7%
200.0 251
 
2.5%
3000.0 206
 
2.1%
300.0 206
 
2.1%
50.0 197
 
2.0%
5000.0 147
 
1.5%
10000.0 137
 
1.4%
Other values (2611) 7562
75.6%
ValueCountFrequency (%)
0.0 97
1.0%
0.33 1
 
< 0.1%
0.34 1
 
< 0.1%
1.0 36
 
0.4%
1.25 3
 
< 0.1%
2.0 7
 
0.1%
2.5 1
 
< 0.1%
3.0 15
 
0.1%
3.5 1
 
< 0.1%
4.0 4
 
< 0.1%
ValueCountFrequency (%)
151920000.0 1
< 0.1%
20844000.0 1
< 0.1%
14199120.0 1
< 0.1%
12150000.0 1
< 0.1%
10000000.0 2
< 0.1%
9000000.0 1
< 0.1%
8773491.0 1
< 0.1%
7823000.0 1
< 0.1%
7200000.0 1
< 0.1%
5700000.0 1
< 0.1%

인증기간(시작일)
Date

Distinct362
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-03-19 00:00:00
Maximum2024-03-18 00:00:00
2024-03-23T07:40:44.775359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:45.243526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증기간(종료일)
Date

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-18 00:00:00
Maximum2025-03-17 00:00:00
2024-03-23T07:40:45.661580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:46.034326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

원재료인증구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9169 
무농약농산물
 
346
유기농산물
 
296
무항생제축산물
 
169
유기가공식품
 
13
Other values (2)
 
7

Length

Max length9
Median length4
Mean length4.1532
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9169
91.7%
무농약농산물 346
 
3.5%
유기농산물 296
 
3.0%
무항생제축산물 169
 
1.7%
유기가공식품 13
 
0.1%
유기축산물 6
 
0.1%
무농약원료가공식품 1
 
< 0.1%

Length

2024-03-23T07:40:46.364095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:40:46.566643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9169
91.7%
무농약농산물 346
 
3.5%
유기농산물 296
 
3.0%
무항생제축산물 169
 
1.7%
유기가공식품 13
 
0.1%
유기축산물 6
 
0.1%
무농약원료가공식품 1
 
< 0.1%

Interactions

2024-03-23T07:40:36.112753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:34.051776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:35.050744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:36.481794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:34.455317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:35.367210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:36.857506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:34.749443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:35.628602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:40:46.719074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호인증종류명재배(작업장)면적(사육두수)생산(수입)계획량원재료인증구분
인증번호1.0000.4060.0000.0000.282
인증종류명0.4061.0000.2200.048NaN
재배(작업장)면적(사육두수)0.0000.2201.0000.628NaN
생산(수입)계획량0.0000.0480.6281.0000.000
원재료인증구분0.282NaNNaN0.0001.000
2024-03-23T07:40:46.948488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원재료인증구분인증종류명
원재료인증구분1.0001.000
인증종류명1.0001.000
2024-03-23T07:40:47.186013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호재배(작업장)면적(사육두수)생산(수입)계획량인증종류명원재료인증구분
인증번호1.0000.3940.0760.2120.144
재배(작업장)면적(사육두수)0.3941.0000.4730.0751.000
생산(수입)계획량0.0760.4731.0000.0300.000
인증종류명0.2120.0750.0301.0001.000
원재료인증구분0.1441.0000.0001.0001.000

Missing values

2024-03-23T07:40:37.465334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:40:38.100247image/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

인증번호인증종류명인증농가인증품목명재배(작업장)면적(사육두수)생산(수입)계획량인증기간(시작일)인증기간(종료일)원재료인증구분
4676412304086무농약농산물이국무고추68.0330.02023-04-142024-04-13<NA>
3168411100769유기농산물신옥교풋고추1250.05000.02023-07-082024-07-07<NA>
9076915103815유기농산물곽청희벼2140.01270.02023-10-292024-10-28<NA>
1304210304120무농약농산물이기영벼7106.04470.02023-10-212024-10-20<NA>
9763015106624유기농산물강경일찰벼5728.04290.02023-10-142024-10-13<NA>
9241815104471유기농산물서국진고사리20000.01600.02023-10-012024-09-30<NA>
1281610304067무농약농산물이금호벼11848.08290.02023-10-072024-10-06<NA>
3260611101047유기농산물김주현벼62575.042361.02023-09-192024-09-18<NA>
5181600012취급자오철용과채류191.15915.02023-09-022024-09-01무농약농산물
8448515102178유기농산물최보영귀리순6396.03610.02024-03-042025-03-03<NA>
인증번호인증종류명인증농가인증품목명재배(작업장)면적(사육두수)생산(수입)계획량인증기간(시작일)인증기간(종료일)원재료인증구분
5679213303112무농약농산물육종성봄동배추50.0400.02024-02-072025-02-06<NA>
5371713100914유기농산물주정용건고구마순450.015.02023-05-302024-05-29<NA>
4202712100774유기농산물이승희시금치661.02000.02023-05-182024-05-17<NA>
9754515106594유기농산물서재선벼4497.03170.02023-10-112024-10-10<NA>
3169411100773유기농산물김수봉눈개승마1050.0100.02023-06-032024-06-02<NA>
8597115102538유기농산물군내유기농(고우일)귀리10445.07290.02023-06-012024-05-31<NA>
3793011304883무농약농산물최흥근마늘1000.0400.02023-07-042024-07-03<NA>
589410100040유기농산물정주복애호박60.02.02023-07-282024-07-27<NA>
16902600222취급자장병윤과일과채류270.0200.02024-02-132025-02-12무농약농산물
2205110306896무농약농산물신순철고추330.0300.02023-09-082024-09-07<NA>