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 (80.8%)Imbalance
생산(수입)계획량 is highly skewed (γ1 = 47.81170603)Skewed

Reproduction

Analysis started2024-03-23 07:40:14.282717
Analysis finished2024-03-23 07:40:19.341310
Duration5.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Real number (ℝ)

Distinct5986
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12295316
Minimum1300013
Maximum15304102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:40:19.749211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300013
5-th percentile6600380.7
Q110502176
median12600397
Q314600198
95-th percentile15105089
Maximum15304102
Range14004089
Interquartile range (IQR)4098021.8

Descriptive statistics

Standard deviation2781085.1
Coefficient of variation (CV)0.22619061
Kurtosis3.1536741
Mean12295316
Median Absolute Deviation (MAD)2098151
Skewness-1.5071686
Sum1.2295316 × 1011
Variance7.7344342 × 1012
MonotonicityNot monotonic
2024-03-23T07:40:20.275802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4100031 39
 
0.4%
12100774 28
 
0.3%
13100449 28
 
0.3%
13100914 25
 
0.2%
13100603 22
 
0.2%
10100687 21
 
0.2%
12303591 20
 
0.2%
14303158 19
 
0.2%
14100057 18
 
0.2%
13100609 17
 
0.2%
Other values (5976) 9763
97.6%
ValueCountFrequency (%)
1300013 1
 
< 0.1%
1300016 1
 
< 0.1%
1300018 2
 
< 0.1%
1300019 3
< 0.1%
1300020 1
 
< 0.1%
1300021 6
0.1%
1300022 2
 
< 0.1%
1300024 4
< 0.1%
1301135 4
< 0.1%
1301136 7
0.1%
ValueCountFrequency (%)
15304102 1
< 0.1%
15304039 1
< 0.1%
15304008 2
< 0.1%
15303998 1
< 0.1%
15303943 1
< 0.1%
15303937 2
< 0.1%
15303911 1
< 0.1%
15303854 2
< 0.1%
15303841 1
< 0.1%
15303817 1
< 0.1%

인증종류명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유기농산물
4724 
무농약농산물
3823 
취급자
868 
무항생제축산물
 
445
유기가공식품
 
106
Other values (3)
 
34

Length

Max length9
Median length8
Mean length5.3163
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유기농산물 4724
47.2%
무농약농산물 3823
38.2%
취급자 868
 
8.7%
무항생제축산물 445
 
4.5%
유기가공식품 106
 
1.1%
무농약원료가공식품 17
 
0.2%
유기축산물 13
 
0.1%
비식용유기가공품 4
 
< 0.1%

Length

2024-03-23T07:40:20.690628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:40:21.029342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유기농산물 4724
47.2%
무농약농산물 3823
38.2%
취급자 868
 
8.7%
무항생제축산물 445
 
4.5%
유기가공식품 106
 
1.1%
무농약원료가공식품 17
 
0.2%
유기축산물 13
 
0.1%
비식용유기가공품 4
 
< 0.1%

인증농가
Text

Distinct6399
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T07:40:21.542480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.2691
Min length2

Characters and Unicode

Total characters32691
Distinct characters388
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4651 ?
Unique (%)46.5%

Sample

1st row김재국
2nd row김순주
3rd row이상원
4th row김승애
5th row안남준
ValueCountFrequency (%)
박홍진 27
 
0.3%
임성실 20
 
0.2%
김정수 19
 
0.2%
강희석 19
 
0.2%
농업회사법인 18
 
0.2%
양승호 15
 
0.1%
이의영 14
 
0.1%
최경희 14
 
0.1%
유재원 13
 
0.1%
이균환 13
 
0.1%
Other values (6478) 10039
98.3%
2024-03-23T07:40:22.430968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2029
 
6.2%
이 1586
 
4.9%
정 984
 
3.0%
영 891
 
2.7%
박 860
 
2.6%
수 541
 
1.7%
순 532
 
1.6%
성 497
 
1.5%
최 496
 
1.5%
용 469
 
1.4%
Other values (378) 23806
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32025
98.0%
Space Separator 211
 
0.6%
Close Punctuation 199
 
0.6%
Open Punctuation 198
 
0.6%
Other Punctuation 38
 
0.1%
Decimal Number 18
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2029
 
6.3%
이 1586
 
5.0%
정 984
 
3.1%
영 891
 
2.8%
박 860
 
2.7%
수 541
 
1.7%
순 532
 
1.7%
성 497
 
1.6%
최 496
 
1.5%
용 469
 
1.5%
Other values (368) 23140
72.3%
Other Punctuation
ValueCountFrequency (%)
, 33
86.8%
: 3
 
7.9%
/ 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 12
66.7%
2 6
33.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32025
98.0%
Common 664
 
2.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2029
 
6.3%
이 1586
 
5.0%
정 984
 
3.1%
영 891
 
2.8%
박 860
 
2.7%
수 541
 
1.7%
순 532
 
1.7%
성 497
 
1.6%
최 496
 
1.5%
용 469
 
1.5%
Other values (368) 23140
72.3%
Common
ValueCountFrequency (%)
211
31.8%
) 199
30.0%
( 198
29.8%
, 33
 
5.0%
1 12
 
1.8%
2 6
 
0.9%
: 3
 
0.5%
/ 2
 
0.3%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32025
98.0%
ASCII 666
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2029
 
6.3%
이 1586
 
5.0%
정 984
 
3.1%
영 891
 
2.8%
박 860
 
2.7%
수 541
 
1.7%
순 532
 
1.7%
성 497
 
1.6%
최 496
 
1.5%
용 469
 
1.5%
Other values (368) 23140
72.3%
ASCII
ValueCountFrequency (%)
211
31.7%
) 199
29.9%
( 198
29.7%
, 33
 
5.0%
1 12
 
1.8%
2 6
 
0.9%
: 3
 
0.5%
/ 2
 
0.3%
M 1
 
0.2%
E 1
 
0.2%

인증품목명
Text

Distinct609
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T07:40:22.946233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length2.7029
Min length1

Characters and Unicode

Total characters27029
Distinct characters390
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

Unique193 ?
Unique (%)1.9%

Sample

1st row벼
2nd row벼
3rd row적상추
4th row부추
5th row찰벼
ValueCountFrequency (%)
벼 2038
 
20.3%
한우(식육 300
 
3.0%
찰벼 264
 
2.6%
밤 229
 
2.3%
감자 192
 
1.9%
블루베리 147
 
1.5%
돼지(식육 134
 
1.3%
무 125
 
1.2%
배추 123
 
1.2%
대파 120
 
1.2%
Other values (608) 6368
63.4%
2024-03-23T07:40:23.901370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 2344
 
8.7%
리 893
 
3.3%
추 821
 
3.0%
( 788
 
2.9%
) 788
 
2.9%
류 743
 
2.7%
육 690
 
2.6%
고 636
 
2.4%
식 588
 
2.2%
채 460
 
1.7%
Other values (380) 18278
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25355
93.8%
Open Punctuation 788
 
2.9%
Close Punctuation 788
 
2.9%
Lowercase Letter 42
 
0.2%
Space Separator 40
 
0.1%
Uppercase Letter 8
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 2344
 
9.2%
리 893
 
3.5%
추 821
 
3.2%
류 743
 
2.9%
육 690
 
2.7%
고 636
 
2.5%
식 588
 
2.3%
채 460
 
1.8%
이 400
 
1.6%
양 377
 
1.5%
Other values (357) 17403
68.6%
Lowercase Letter
ValueCountFrequency (%)
a 11
26.2%
h 6
14.3%
t 5
11.9%
s 5
11.9%
e 3
 
7.1%
w 3
 
7.1%
n 3
 
7.1%
r 3
 
7.1%
o 3
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
37.5%
O 2
25.0%
R 1
 
12.5%
Y 1
 
12.5%
E 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
9 1
25.0%
7 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
% 2
50.0%
. 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 788
100.0%
Close Punctuation
ValueCountFrequency (%)
) 788
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25355
93.8%
Common 1624
 
6.0%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 2344
 
9.2%
리 893
 
3.5%
추 821
 
3.2%
류 743
 
2.9%
육 690
 
2.7%
고 636
 
2.5%
식 588
 
2.3%
채 460
 
1.8%
이 400
 
1.6%
양 377
 
1.5%
Other values (357) 17403
68.6%
Latin
ValueCountFrequency (%)
a 11
22.0%
h 6
12.0%
t 5
10.0%
s 5
10.0%
e 3
 
6.0%
w 3
 
6.0%
n 3
 
6.0%
r 3
 
6.0%
K 3
 
6.0%
o 3
 
6.0%
Other values (4) 5
10.0%
Common
ValueCountFrequency (%)
( 788
48.5%
) 788
48.5%
40
 
2.5%
% 2
 
0.1%
. 2
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25355
93.8%
ASCII 1674
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 2344
 
9.2%
리 893
 
3.5%
추 821
 
3.2%
류 743
 
2.9%
육 690
 
2.7%
고 636
 
2.5%
식 588
 
2.3%
채 460
 
1.8%
이 400
 
1.6%
양 377
 
1.5%
Other values (357) 17403
68.6%
ASCII
ValueCountFrequency (%)
( 788
47.1%
) 788
47.1%
40
 
2.4%
a 11
 
0.7%
h 6
 
0.4%
t 5
 
0.3%
s 5
 
0.3%
e 3
 
0.2%
w 3
 
0.2%
n 3
 
0.2%
Other values (13) 22
 
1.3%

재배(작업장)면적(사육두수)
Real number (ℝ)

HIGH CORRELATION 

Distinct4935
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6886.29
Minimum0.5
Maximum529496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:40:24.340071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile46.965
Q1324.75
median1651
Q35589.675
95-th percentile28849.55
Maximum529496
Range529495.5
Interquartile range (IQR)5264.925

Descriptive statistics

Standard deviation20353.855
Coefficient of variation (CV)2.9557069
Kurtosis173.27723
Mean6886.29
Median Absolute Deviation (MAD)1526
Skewness10.708005
Sum68862900
Variance4.1427941 × 108
MonotonicityNot monotonic
2024-03-23T07:40:24.773576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 273
 
2.7%
300.0 171
 
1.7%
200.0 164
 
1.6%
50.0 149
 
1.5%
1000.0 138
 
1.4%
330.0 121
 
1.2%
400.0 106
 
1.1%
500.0 101
 
1.0%
600.0 93
 
0.9%
150.0 85
 
0.9%
Other values (4925) 8599
86.0%
ValueCountFrequency (%)
0.5 1
 
< 0.1%
1.0 14
0.1%
2.0 1
 
< 0.1%
3.0 4
 
< 0.1%
3.3 1
 
< 0.1%
4.0 4
 
< 0.1%
5.0 18
0.2%
6.0 5
 
0.1%
7.0 4
 
< 0.1%
8.0 2
 
< 0.1%
ValueCountFrequency (%)
529496.0 1
< 0.1%
450000.0 1
< 0.1%
439760.0 1
< 0.1%
393000.0 1
< 0.1%
385000.0 1
< 0.1%
370440.0 1
< 0.1%
347205.9 1
< 0.1%
327865.0 1
< 0.1%
311040.0 1
< 0.1%
302400.0 1
< 0.1%

생산(수입)계획량
Real number (ℝ)

SKEWED 

Distinct2627
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54979.558
Minimum0
Maximum49000000
Zeros89
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T07:40:25.279829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1500
median2100
Q37775
95-th percentile100000
Maximum49000000
Range49000000
Interquartile range (IQR)7275

Descriptive statistics

Standard deviation678920.95
Coefficient of variation (CV)12.348607
Kurtosis3005.9786
Mean54979.558
Median Absolute Deviation (MAD)1950
Skewness47.811706
Sum5.4979558 × 108
Variance4.6093366 × 1011
MonotonicityNot monotonic
2024-03-23T07:40:25.653444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 408
 
4.1%
100.0 350
 
3.5%
500.0 329
 
3.3%
2000.0 293
 
2.9%
200.0 252
 
2.5%
300.0 219
 
2.2%
3000.0 197
 
2.0%
50.0 177
 
1.8%
1500.0 156
 
1.6%
5000.0 150
 
1.5%
Other values (2617) 7469
74.7%
ValueCountFrequency (%)
0.0 89
0.9%
0.4 1
 
< 0.1%
1.0 38
0.4%
2.0 20
 
0.2%
3.0 12
 
0.1%
4.0 5
 
0.1%
5.0 31
 
0.3%
6.0 3
 
< 0.1%
7.0 1
 
< 0.1%
9.0 1
 
< 0.1%
ValueCountFrequency (%)
49000000.0 1
< 0.1%
25500000.0 1
< 0.1%
19000000.0 1
< 0.1%
16276000.0 1
< 0.1%
9212810.0 1
< 0.1%
8667667.0 1
< 0.1%
8141427.0 1
< 0.1%
8000000.0 1
< 0.1%
7560000.0 1
< 0.1%
6300000.0 1
< 0.1%

인증기간(시작일)
Date

Distinct362
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-09-19 00:00:00
Maximum2023-09-18 00:00:00
2024-03-23T07:40:25.905870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:26.320055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증기간(종료일)
Date

Distinct362
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-09-18 00:00:00
Maximum2024-09-17 00:00:00
2024-03-23T07:40:26.709823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:27.206496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

원재료인증구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9133 
무농약농산물
 
343
유기농산물
 
299
무항생제축산물
 
200
유기축산물
 
14
Other values (3)
 
11

Length

Max length9
Median length4
Mean length4.1624
Min length3

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> 9133
91.3%
무농약농산물 343
 
3.4%
유기농산물 299
 
3.0%
무항생제축산물 200
 
2.0%
유기축산물 14
 
0.1%
유기가공식품 8
 
0.1%
무농약원료가공식품 2
 
< 0.1%
취급자 1
 
< 0.1%

Length

2024-03-23T07:40:27.523826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:40:27.740872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9133
91.3%
무농약농산물 343
 
3.4%
유기농산물 299
 
3.0%
무항생제축산물 200
 
2.0%
유기축산물 14
 
0.1%
유기가공식품 8
 
0.1%
무농약원료가공식품 2
 
< 0.1%
취급자 1
 
< 0.1%

Interactions

2024-03-23T07:40:17.992022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:16.215242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:17.190335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:18.275219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:16.613698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:17.449672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:18.575987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:16.921221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:40:17.714901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:40:27.896092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호인증종류명재배(작업장)면적(사육두수)생산(수입)계획량원재료인증구분
인증번호1.0000.4120.0420.0230.257
인증종류명0.4121.0000.2330.081NaN
재배(작업장)면적(사육두수)0.0420.2331.0000.497NaN
생산(수입)계획량0.0230.0810.4971.0000.148
원재료인증구분0.257NaNNaN0.1481.000
2024-03-23T07:40:28.085570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원재료인증구분인증종류명
원재료인증구분1.0001.000
인증종류명1.0001.000
2024-03-23T07:40:28.300922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호재배(작업장)면적(사육두수)생산(수입)계획량인증종류명원재료인증구분
인증번호1.0000.3810.0670.2160.138
재배(작업장)면적(사육두수)0.3811.0000.4680.1131.000
생산(수입)계획량0.0670.4681.0000.0490.094
인증종류명0.2160.1130.0491.0001.000
원재료인증구분0.1381.0000.0941.0001.000

Missing values

2024-03-23T07:40:18.928239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:40:19.199896image/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
9734315106159유기농산물김재국벼606.0424.02022-10-312023-10-30<NA>
9907815303077무농약농산물김순주벼930.0632.02022-10-152023-10-14<NA>
4367612100991유기농산물이상원적상추770.04000.02022-12-132023-12-12<NA>
9513215105141유기농산물김승애부추760.03800.02023-04-282024-04-27<NA>
5155413100603유기농산물안남준찰벼3006.02090.02023-09-082024-09-07<NA>
4438112101230유기농산물한은영(아르아르)미나리20.050.02022-11-022023-11-01<NA>
7077614303823무농약농산물설성환금강초80.0240.02023-06-242024-06-23<NA>
3861111500064무항생제축산물박기영한우(식육)70.05600.02022-09-222023-09-21<NA>
9415715104810유기농산물이경암찰벼744.0500.02022-10-202023-10-19<NA>
3750211304661무농약농산물김월성콩8671.02540.02023-06-272024-06-26<NA>
인증번호인증종류명인증농가인증품목명재배(작업장)면적(사육두수)생산(수입)계획량인증기간(시작일)인증기간(종료일)원재료인증구분
3953511800446유기가공식품손일권캔디류100.010000.02023-02-222024-02-21<NA>
4856912304719무농약농산물유지은산양삼58091.00.02023-07-032024-07-02<NA>
3752411304661무농약농산물백승학건고사리500.050.02023-06-272024-06-26<NA>
5111313100535유기농산물남영철쪽파100.0170.02023-08-252024-08-24<NA>
1706510304895무농약농산물이근철무5134.021000.02023-06-102024-06-09<NA>
9638915105743유기농산물김기평찰벼8485.05940.02022-10-072023-10-06<NA>
2455510501643무항생제축산물윤한수한우(식육)60.021000.02022-11-102023-11-09<NA>
9916615303192무농약농산물이부춘이탈리안라이그라스1115.02241.02022-10-202023-10-19<NA>
1988510305725무농약농산물우종오양파1000.05500.02023-06-282024-06-27<NA>
1757810305048무농약농산물조수길당근1150.06600.02023-06-152024-06-14<NA>