Overview

Dataset statistics

Number of variables12
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory101.3 B

Variable types

Numeric4
Categorical5
Text1
DateTime2

Dataset

Description국립농산물품질관리원에서 관리하는 농산물이력추적등록단체 정보서비스(등록번호, 등록기관, 단계구분, 생산자단체, 대표자명, 유효기간, 대표품목, 주소, 등록농가수, 등록필지, 재배면적 등)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001681

Alerts

등록기관 is highly overall correlated with 대표품목 and 1 other fieldsHigh correlation
도로명주소 is highly overall correlated with 등록기관 and 1 other fieldsHigh correlation
등록번호 is highly overall correlated with 등록농가수High correlation
등록농가수 is highly overall correlated with 등록번호High correlation
등록필지 is highly overall correlated with 재배면적High correlation
재배면적 is highly overall correlated with 등록필지High correlation
대표품목 is highly overall correlated with 등록기관 and 1 other fieldsHigh correlation
등록번호 has unique valuesUnique
등록필지 has 31 (30.7%) zerosZeros
재배면적 has 31 (30.7%) zerosZeros

Reproduction

Analysis started2024-03-23 07:46:32.361075
Analysis finished2024-03-23 07:46:39.913725
Duration7.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8581.8416
Minimum14
Maximum11984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-23T07:46:40.123251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile1136
Q14700
median11684
Q311915
95-th percentile11977
Maximum11984
Range11970
Interquartile range (IQR)7215

Descriptive statistics

Standard deviation4100.5271
Coefficient of variation (CV)0.47781436
Kurtosis-1.1434479
Mean8581.8416
Median Absolute Deviation (MAD)297
Skewness-0.71926166
Sum866766
Variance16814323
MonotonicityStrictly increasing
2024-03-23T07:46:40.623262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 1
 
1.0%
11833 1
 
1.0%
11911 1
 
1.0%
11910 1
 
1.0%
11904 1
 
1.0%
11902 1
 
1.0%
11898 1
 
1.0%
11896 1
 
1.0%
11873 1
 
1.0%
11862 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
304 1
1.0%
878 1
1.0%
879 1
1.0%
1029 1
1.0%
1136 1
1.0%
1885 1
1.0%
2163 1
1.0%
2236 1
1.0%
2240 1
1.0%
ValueCountFrequency (%)
11984 1
1.0%
11982 1
1.0%
11981 1
1.0%
11980 1
1.0%
11978 1
1.0%
11977 1
1.0%
11976 1
1.0%
11975 1
1.0%
11974 1
1.0%
11973 1
1.0%

등록기관
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size940.0 B
강원지원 철원사무소
20 
경남지원 밀양사무소
10 
경남지원 품질관리과
 
5
경남지원 진주사무소
 
5
경남지원 거창사무소
 
4
Other values (38)
57 

Length

Max length16
Median length10
Mean length10.49505
Min length10

Unique

Unique24 ?
Unique (%)23.8%

Sample

1st row경북지원 문경사무소
2nd row경기지원 화성ㆍ오산사무소
3rd row경기지원 남양주ㆍ구리사무소
4th row경기지원 남양주ㆍ구리사무소
5th row경기지원 김포사무소

Common Values

ValueCountFrequency (%)
강원지원 철원사무소 20
19.8%
경남지원 밀양사무소 10
 
9.9%
경남지원 품질관리과 5
 
5.0%
경남지원 진주사무소 5
 
5.0%
경남지원 거창사무소 4
 
4.0%
충남지원 금산사무소 4
 
4.0%
전북지원 남원사무소 3
 
3.0%
경남지원 함안사무소 3
 
3.0%
경기지원 파주ㆍ고양사무소 3
 
3.0%
경남지원 함양사무소 2
 
2.0%
Other values (33) 42
41.6%

Length

2024-03-23T07:46:41.039388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남지원 32
15.8%
강원지원 24
 
11.9%
철원사무소 20
 
9.9%
충남지원 11
 
5.4%
경기지원 10
 
5.0%
경북지원 10
 
5.0%
품질관리과 10
 
5.0%
밀양사무소 10
 
5.0%
전남지원 7
 
3.5%
전북지원 6
 
3.0%
Other values (37) 62
30.7%

단계구분
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
생산
71 
유통
21 
판매
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통
2nd row유통
3rd row판매
4th row판매
5th row유통

Common Values

ValueCountFrequency (%)
생산 71
70.3%
유통 21
 
20.8%
판매 9
 
8.9%

Length

2024-03-23T07:46:41.412415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:46:41.717541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산 71
70.3%
유통 21
 
20.8%
판매 9
 
8.9%

생산자단체명
Text

Distinct93
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-03-23T07:46:42.082669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.6633663
Min length3

Characters and Unicode

Total characters774
Distinct characters186
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

Unique85 ?
Unique (%)84.2%

Sample

1st row문경농협경제사업본부
2nd row수원지구원예농협산지유통센터
3rd row진접농업협동조합
4th row미금농업협동조합
5th row신김포농협미곡종합처리장양촌사업소
ValueCountFrequency (%)
농업회사법인 5
 
4.5%
주식회사 3
 
2.7%
죽장사과영농조합법인 2
 
1.8%
주)청솔 2
 
1.8%
동철원농업협동조합 2
 
1.8%
철원농업협동조합 2
 
1.8%
금산흑삼주식회사 2
 
1.8%
남천안버섯영농조합법인 2
 
1.8%
김화농업협동조합 2
 
1.8%
금산농협농산물산지유통센터 2
 
1.8%
Other values (87) 87
78.4%
2024-03-23T07:46:42.722333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 55
 
7.1%
협 28
 
3.6%
조 28
 
3.6%
합 28
 
3.6%
동 22
 
2.8%
산 22
 
2.8%
인 21
 
2.7%
법 19
 
2.5%
목 19
 
2.5%
작 18
 
2.3%
Other values (176) 514
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
96.0%
Space Separator 10
 
1.3%
Uppercase Letter 7
 
0.9%
Lowercase Letter 5
 
0.6%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 55
 
7.4%
협 28
 
3.8%
조 28
 
3.8%
합 28
 
3.8%
동 22
 
3.0%
산 22
 
3.0%
인 21
 
2.8%
법 19
 
2.6%
목 19
 
2.6%
작 18
 
2.4%
Other values (164) 483
65.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
28.6%
G 2
28.6%
A 1
14.3%
T 1
14.3%
K 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
p 2
40.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 743
96.0%
Common 19
 
2.5%
Latin 12
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 55
 
7.4%
협 28
 
3.8%
조 28
 
3.8%
합 28
 
3.8%
동 22
 
3.0%
산 22
 
3.0%
인 21
 
2.8%
법 19
 
2.6%
목 19
 
2.6%
작 18
 
2.4%
Other values (164) 483
65.0%
Latin
ValueCountFrequency (%)
e 2
16.7%
p 2
16.7%
P 2
16.7%
G 2
16.7%
A 1
8.3%
r 1
8.3%
T 1
8.3%
K 1
8.3%
Common
ValueCountFrequency (%)
10
52.6%
( 4
 
21.1%
) 4
 
21.1%
& 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 743
96.0%
ASCII 31
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 55
 
7.4%
협 28
 
3.8%
조 28
 
3.8%
합 28
 
3.8%
동 22
 
3.0%
산 22
 
3.0%
인 21
 
2.8%
법 19
 
2.6%
목 19
 
2.6%
작 18
 
2.4%
Other values (164) 483
65.0%
ASCII
ValueCountFrequency (%)
10
32.3%
( 4
 
12.9%
) 4
 
12.9%
e 2
 
6.5%
p 2
 
6.5%
P 2
 
6.5%
G 2
 
6.5%
A 1
 
3.2%
r 1
 
3.2%
& 1
 
3.2%
Other values (2) 2
 
6.5%

대표자명
Categorical

Distinct33
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size940.0 B
김**
17 
이**
16 
박**
9 
정**
8 
황**
 
4
Other values (28)
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique16 ?
Unique (%)15.8%

Sample

1st row김**
2nd row이**
3rd row최**
4th row김**
5th row신**

Common Values

ValueCountFrequency (%)
김** 17
16.8%
이** 16
15.8%
박** 9
 
8.9%
정** 8
 
7.9%
황** 4
 
4.0%
조** 4
 
4.0%
최** 4
 
4.0%
임** 3
 
3.0%
고** 3
 
3.0%
허** 3
 
3.0%
Other values (23) 30
29.7%

Length

2024-03-23T07:46:43.133359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 17
16.8%
이 16
15.8%
박 9
 
8.9%
정 8
 
7.9%
황 4
 
4.0%
조 4
 
4.0%
최 4
 
4.0%
임 3
 
3.0%
고 3
 
3.0%
허 3
 
3.0%
Other values (23) 30
29.7%

유효기간 시작일
Date

Distinct81
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2019-03-28 00:00:00
Maximum2022-03-15 00:00:00
2024-03-23T07:46:43.664243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:44.321450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct82
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2022-03-27 00:00:00
Maximum2026-09-27 00:00:00
2024-03-23T07:46:44.834081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:45.227959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표품목
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size940.0 B
쌀
25 
파프리카
13 
사과
12 
토마토
8 
단감
7 
Other values (17)
36 

Length

Max length7
Median length5
Mean length2.3663366
Min length1

Unique

Unique10 ?
Unique (%)9.9%

Sample

1st row사과
2nd row배
3rd row사과
4th row사과
5th row쌀

Common Values

ValueCountFrequency (%)
쌀 25
24.8%
파프리카 13
12.9%
사과 12
11.9%
토마토 8
 
7.9%
단감 7
 
6.9%
딸기 6
 
5.9%
표고버섯 5
 
5.0%
배 5
 
5.0%
더덕 3
 
3.0%
건고추 3
 
3.0%
Other values (12) 14
13.9%

Length

2024-03-23T07:46:45.638449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쌀 25
24.8%
파프리카 13
12.9%
사과 12
11.9%
토마토 8
 
7.9%
단감 7
 
6.9%
딸기 6
 
5.9%
표고버섯 5
 
5.0%
배 5
 
5.0%
더덕 3
 
3.0%
건고추 3
 
3.0%
Other values (12) 14
13.9%

도로명주소
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size940.0 B
강원특별자치도 철원군
20 
경상남도 밀양시
10 
경상남도 진주시
 
5
경상남도 창원시
 
5
충청남도 금산군
 
4
Other values (41)
57 

Length

Max length11
Median length8
Mean length8.8613861
Min length7

Unique

Unique29 ?
Unique (%)28.7%

Sample

1st row경상북도 문경시
2nd row경기도 화성시
3rd row경기도 남양주시
4th row경기도 남양주시
5th row경기도 김포시

Common Values

ValueCountFrequency (%)
강원특별자치도 철원군 20
19.8%
경상남도 밀양시 10
 
9.9%
경상남도 진주시 5
 
5.0%
경상남도 창원시 5
 
5.0%
충청남도 금산군 4
 
4.0%
경상남도 거창군 4
 
4.0%
경상남도 함안군 3
 
3.0%
전북특별자치도 남원시 3
 
3.0%
경상북도 상주시 2
 
2.0%
충청남도 천안시 2
 
2.0%
Other values (36) 43
42.6%

Length

2024-03-23T07:46:46.086076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 32
15.8%
강원특별자치도 24
 
11.9%
철원군 20
 
9.9%
밀양시 10
 
5.0%
충청남도 10
 
5.0%
경기도 10
 
5.0%
경상북도 10
 
5.0%
전북특별자치도 6
 
3.0%
진주시 5
 
2.5%
창원시 5
 
2.5%
Other values (46) 70
34.7%

등록농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2673267
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-23T07:46:46.472129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q310
95-th percentile21
Maximum24
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6548936
Coefficient of variation (CV)0.77812569
Kurtosis1.2807538
Mean7.2673267
Median Absolute Deviation (MAD)3
Skewness1.2696455
Sum734
Variance31.977822
MonotonicityNot monotonic
2024-03-23T07:46:47.044739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3 13
12.9%
2 12
11.9%
8 9
8.9%
5 9
8.9%
1 8
7.9%
4 8
7.9%
9 6
 
5.9%
13 6
 
5.9%
7 6
 
5.9%
12 5
 
5.0%
Other values (9) 19
18.8%
ValueCountFrequency (%)
1 8
7.9%
2 12
11.9%
3 13
12.9%
4 8
7.9%
5 9
8.9%
6 4
 
4.0%
7 6
5.9%
8 9
8.9%
9 6
5.9%
10 2
 
2.0%
ValueCountFrequency (%)
24 2
 
2.0%
23 2
 
2.0%
21 2
 
2.0%
19 1
 
1.0%
17 1
 
1.0%
14 3
3.0%
13 6
5.9%
12 5
5.0%
11 2
 
2.0%
10 2
 
2.0%

등록필지
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.91089
Minimum0
Maximum9658
Zeros31
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-23T07:46:47.360735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile2488
Maximum9658
Range9658
Interquartile range (IQR)26

Descriptive statistics

Standard deviation1246.0984
Coefficient of variation (CV)3.2886318
Kurtosis32.230967
Mean378.91089
Median Absolute Deviation (MAD)3
Skewness5.1303812
Sum38270
Variance1552761.3
MonotonicityNot monotonic
2024-03-23T07:46:47.606248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 31
30.7%
3 11
 
10.9%
4 8
 
7.9%
1 8
 
7.9%
2 5
 
5.0%
11 2
 
2.0%
52 2
 
2.0%
7 2
 
2.0%
5 1
 
1.0%
61 1
 
1.0%
Other values (30) 30
29.7%
ValueCountFrequency (%)
0 31
30.7%
1 8
 
7.9%
2 5
 
5.0%
3 11
 
10.9%
4 8
 
7.9%
5 1
 
1.0%
6 1
 
1.0%
7 2
 
2.0%
8 1
 
1.0%
9 1
 
1.0%
ValueCountFrequency (%)
9658 1
1.0%
4376 1
1.0%
4190 1
1.0%
3082 1
1.0%
3026 1
1.0%
2488 1
1.0%
2175 1
1.0%
1764 1
1.0%
1549 1
1.0%
1248 1
1.0%

재배면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct70
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1012740
Minimum0
Maximum18042038
Zeros31
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-23T07:46:47.942141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7948
Q365000
95-th percentile7533517
Maximum18042038
Range18042038
Interquartile range (IQR)65000

Descriptive statistics

Standard deviation3037539.7
Coefficient of variation (CV)2.9993283
Kurtosis14.297281
Mean1012740
Median Absolute Deviation (MAD)7948
Skewness3.6903759
Sum1.0228674 × 108
Variance9.2266475 × 1012
MonotonicityNot monotonic
2024-03-23T07:46:48.522162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
30.7%
7948.0 2
 
2.0%
1408982.19 1
 
1.0%
4423.0 1
 
1.0%
5630.0 1
 
1.0%
2330.0 1
 
1.0%
1848.0 1
 
1.0%
18162.0 1
 
1.0%
12668.0 1
 
1.0%
3646.0 1
 
1.0%
Other values (60) 60
59.4%
ValueCountFrequency (%)
0.0 31
30.7%
1848.0 1
 
1.0%
1921.0 1
 
1.0%
2330.0 1
 
1.0%
2380.0 1
 
1.0%
2876.0 1
 
1.0%
3234.0 1
 
1.0%
3260.0 1
 
1.0%
3292.0 1
 
1.0%
3646.0 1
 
1.0%
ValueCountFrequency (%)
18042038.0 1
1.0%
13030084.0 1
1.0%
12964151.0 1
1.0%
10017577.79 1
1.0%
8940652.0 1
1.0%
7533517.0 1
1.0%
6958035.0 1
1.0%
4916257.04 1
1.0%
3737970.0 1
1.0%
3683924.15 1
1.0%

Interactions

2024-03-23T07:46:38.463362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:35.574690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:36.578586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:37.593590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:38.630575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:35.809818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:36.824620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:37.846950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:38.786758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:36.069773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:37.103415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:38.093338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:38.949224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:36.316123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:37.339338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:38.295482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:46:49.123543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적
등록번호1.0000.6150.4610.9760.7360.9930.9940.0000.7560.7590.5600.507
등록기관0.6151.0000.4961.0000.7900.9990.9990.9801.0000.5740.0000.000
단계구분0.4610.4961.0000.0000.0000.0000.2870.3550.5870.5140.0000.000
생산자단체명0.9761.0000.0001.0001.0000.9980.9981.0001.0001.0001.0001.000
대표자명0.7360.7900.0001.0001.0000.6810.8340.6500.6970.7920.7680.701
유효기간 시작일0.9930.9990.0000.9980.6811.0001.0000.9960.9990.7600.0000.000
유효기간 종료일0.9940.9990.2870.9980.8341.0001.0000.9990.9990.7700.0000.000
대표품목0.0000.9800.3551.0000.6500.9960.9991.0000.9850.5690.0000.000
도로명주소0.7561.0000.5871.0000.6970.9990.9990.9851.0000.5640.0000.000
등록농가수0.7590.5740.5141.0000.7920.7600.7700.5690.5641.0000.5630.491
등록필지0.5600.0000.0001.0000.7680.0000.0000.0000.0000.5631.0000.983
재배면적0.5070.0000.0001.0000.7010.0000.0000.0000.0000.4910.9831.000
2024-03-23T07:46:49.502641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록기관도로명주소대표자명단계구분대표품목
등록기관1.0000.9740.2280.2090.633
도로명주소0.9741.0000.1580.2590.654
대표자명0.2280.1581.0000.0000.189
단계구분0.2090.2590.0001.0000.152
대표품목0.6330.6540.1890.1521.000
2024-03-23T07:46:49.734645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록농가수등록필지재배면적등록기관단계구분대표자명대표품목도로명주소
등록번호1.000-0.680-0.057-0.0370.1990.3000.3100.0000.283
등록농가수-0.6801.0000.0850.0730.1770.3450.3630.2290.165
등록필지-0.0570.0851.0000.9530.0000.0000.3880.0000.000
재배면적-0.0370.0730.9531.0000.0000.0000.3020.0000.000
등록기관0.1990.1770.0000.0001.0000.2090.2280.6330.974
단계구분0.3000.3450.0000.0000.2091.0000.0000.1520.259
대표자명0.3100.3630.3880.3020.2280.0001.0000.1890.158
대표품목0.0000.2290.0000.0000.6330.1520.1891.0000.654
도로명주소0.2830.1650.0000.0000.9740.2590.1580.6541.000

Missing values

2024-03-23T07:46:39.226524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:46:39.724110image/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

등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적
014경북지원 문경사무소유통문경농협경제사업본부김**2021-06-122024-06-11사과경상북도 문경시600.0
1304경기지원 화성ㆍ오산사무소유통수원지구원예농협산지유통센터이**2021-04-252024-04-24배경기도 화성시700.0
2878경기지원 남양주ㆍ구리사무소판매진접농업협동조합최**2021-06-092024-06-08사과경기도 남양주시900.0
3879경기지원 남양주ㆍ구리사무소판매미금농업협동조합김**2021-06-092024-06-08사과경기도 남양주시800.0
41029경기지원 김포사무소유통신김포농협미곡종합처리장양촌사업소신**2021-07-052024-07-04쌀경기도 김포시800.0
51136전남지원 품질관리과유통동곡농협이**2021-07-272024-07-26호박광주광역시 광산구800.0
61885전북지원 무주사무소생산양한오양**2022-03-122025-03-11사과전북특별자치도 무주군72033569.0
72163강원지원 철원사무소유통동송농업협동조합진**2019-05-112022-05-10쌀강원특별자치도 철원군1900.0
82236강원지원 철원사무소유통김화농업협동조합엄**2019-06-052022-06-04쌀강원특별자치도 철원군2300.0
92240강원지원 철원사무소유통철원농업협동조합최**2019-06-052022-06-04쌀강원특별자치도 철원군1300.0
등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적
9111973경남지원 진주사무소생산남성민남**2021-04-162024-04-15토마토경상남도 진주시213260.0
9211974경남지원 진주사무소생산이제웅이**2021-04-302024-04-29단감경상남도 진주시1246464.0
9311975강원지원 강릉사무소생산맘보파프리카김**2021-07-212024-07-20파프리카강원특별자치도 강릉시114575.4
9411976강원지원 홍천사무소생산서석농협토마토공선출하회정**2021-07-222024-07-21토마토강원특별자치도 홍천군41121350.6
9511977전북지원 남원사무소생산춘향골바래봉파프리카작목반이**2021-08-242024-08-23파프리카전북특별자치도 남원시1796213202.9
9611978전북지원 남원사무소유통운봉농협농산물산지유통센터서**2021-08-242024-08-23파프리카전북특별자치도 남원시100.0
9711980경남지원 품질관리과생산이호륜이**2021-09-062024-09-05파프리카경상남도 창원시149735.1
9811981충남지원 품질관리과생산배광호배**2021-11-012024-10-31표고버섯대전광역시 유성구171921.0
9911982경남지원 함안사무소유통가야원예영농조합법인박**2021-12-082024-12-07<NA>경상남도 함안군1200.0
10011984경남지원 밀양사무소생산이용재이**2022-02-072025-02-06단감경상남도 밀양시4344600.0