Overview

Dataset statistics

Number of variables12
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory101.2 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 등록농가수 and 2 other fieldsHigh correlation
도로명주소 is highly overall correlated with 등록농가수 and 2 other fieldsHigh correlation
등록번호 is highly overall correlated with 등록농가수High correlation
등록농가수 is highly overall correlated with 등록번호 and 2 other fieldsHigh 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 (29.0%) zerosZeros
재배면적 has 31 (29.0%) zerosZeros

Reproduction

Analysis started2024-03-23 07:46:11.915919
Analysis finished2024-03-23 07:46:21.397925
Duration9.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9256.5794
Minimum14
Maximum11990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-23T07:46:21.618178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile1968.4
Q16578.5
median11768
Q311950
95-th percentile11984.7
Maximum11990
Range11976
Interquartile range (IQR)5371.5

Descriptive statistics

Standard deviation3893.716
Coefficient of variation (CV)0.42064307
Kurtosis-0.38957907
Mean9256.5794
Median Absolute Deviation (MAD)212
Skewness-1.1073594
Sum990454
Variance15161024
MonotonicityStrictly increasing
2024-03-23T07:46:21.977651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 1
 
0.9%
11904 1
 
0.9%
11947 1
 
0.9%
11945 1
 
0.9%
11944 1
 
0.9%
11942 1
 
0.9%
11941 1
 
0.9%
11940 1
 
0.9%
11925 1
 
0.9%
11923 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
14 1
0.9%
304 1
0.9%
878 1
0.9%
879 1
0.9%
1136 1
0.9%
1885 1
0.9%
2163 1
0.9%
2236 1
0.9%
2240 1
0.9%
2241 1
0.9%
ValueCountFrequency (%)
11990 1
0.9%
11989 1
0.9%
11988 1
0.9%
11987 1
0.9%
11986 1
0.9%
11985 1
0.9%
11984 1
0.9%
11983 1
0.9%
11982 1
0.9%
11981 1
0.9%

등록기관
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
강원지원 철원사무소
15 
경남지원 밀양사무소
12 
경남지원 품질관리과
 
6
충남지원 금산사무소
 
4
경남지원 거창사무소
 
4
Other values (41)
66 

Length

Max length16
Median length10
Mean length10.570093
Min length10

Unique

Unique24 ?
Unique (%)22.4%

Sample

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

Common Values

ValueCountFrequency (%)
강원지원 철원사무소 15
 
14.0%
경남지원 밀양사무소 12
 
11.2%
경남지원 품질관리과 6
 
5.6%
충남지원 금산사무소 4
 
3.7%
경남지원 거창사무소 4
 
3.7%
경북지원 상주사무소 4
 
3.7%
경남지원 진주사무소 4
 
3.7%
경북지원 청송ㆍ영양사무소 3
 
2.8%
경기지원 남양주ㆍ구리사무소 3
 
2.8%
경기지원 파주ㆍ고양사무소 3
 
2.8%
Other values (36) 49
45.8%

Length

2024-03-23T07:46:22.226085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남지원 35
16.4%
강원지원 21
 
9.8%
철원사무소 15
 
7.0%
품질관리과 13
 
6.1%
충남지원 13
 
6.1%
밀양사무소 12
 
5.6%
경북지원 12
 
5.6%
경기지원 10
 
4.7%
전남지원 7
 
3.3%
전북지원 5
 
2.3%
Other values (40) 71
33.2%

단계구분
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
생산
76 
유통
22 
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 76
71.0%
유통 22
 
20.6%
판매 9
 
8.4%

Length

2024-03-23T07:46:22.462646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:46:22.833409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산 76
71.0%
유통 22
 
20.6%
판매 9
 
8.4%

생산자단체명
Text

Distinct99
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-03-23T07:46:23.330515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.2897196
Min length3

Characters and Unicode

Total characters780
Distinct characters192
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

Unique91 ?
Unique (%)85.0%

Sample

1st row문경농협경제사업본부
2nd row수원지구원예농협산지유통센터
3rd row진접농업협동조합
4th row미금농업협동조합
5th row동곡농협
ValueCountFrequency (%)
농업회사법인 5
 
4.3%
주)청솔 2
 
1.7%
김화농업협동조합 2
 
1.7%
철원농업협동조합 2
 
1.7%
동철원농업협동조합 2
 
1.7%
죽장사과영농조합법인 2
 
1.7%
남천안버섯영농조합법인 2
 
1.7%
금산흑삼주식회사 2
 
1.7%
주식회사 2
 
1.7%
금산농협농산물산지유통센터 2
 
1.7%
Other values (94) 94
80.3%
2024-03-23T07:46:24.314748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 55
 
7.1%
조 32
 
4.1%
합 30
 
3.8%
인 24
 
3.1%
법 23
 
2.9%
협 23
 
2.9%
산 22
 
2.8%
영 20
 
2.6%
업 18
 
2.3%
동 17
 
2.2%
Other values (182) 516
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 741
95.0%
Space Separator 11
 
1.4%
Uppercase Letter 10
 
1.3%
Open Punctuation 6
 
0.8%
Close Punctuation 6
 
0.8%
Lowercase Letter 5
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 55
 
7.4%
조 32
 
4.3%
합 30
 
4.0%
인 24
 
3.2%
법 23
 
3.1%
협 23
 
3.1%
산 22
 
3.0%
영 20
 
2.7%
업 18
 
2.4%
동 17
 
2.3%
Other values (170) 477
64.4%
Uppercase Letter
ValueCountFrequency (%)
G 3
30.0%
P 3
30.0%
A 2
20.0%
T 1
 
10.0%
K 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
p 2
40.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 741
95.0%
Common 24
 
3.1%
Latin 15
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 55
 
7.4%
조 32
 
4.3%
합 30
 
4.0%
인 24
 
3.2%
법 23
 
3.1%
협 23
 
3.1%
산 22
 
3.0%
영 20
 
2.7%
업 18
 
2.4%
동 17
 
2.3%
Other values (170) 477
64.4%
Latin
ValueCountFrequency (%)
G 3
20.0%
P 3
20.0%
e 2
13.3%
p 2
13.3%
A 2
13.3%
r 1
 
6.7%
T 1
 
6.7%
K 1
 
6.7%
Common
ValueCountFrequency (%)
11
45.8%
( 6
25.0%
) 6
25.0%
& 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 741
95.0%
ASCII 39
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 55
 
7.4%
조 32
 
4.3%
합 30
 
4.0%
인 24
 
3.2%
법 23
 
3.1%
협 23
 
3.1%
산 22
 
3.0%
영 20
 
2.7%
업 18
 
2.4%
동 17
 
2.3%
Other values (170) 477
64.4%
ASCII
ValueCountFrequency (%)
11
28.2%
( 6
15.4%
) 6
15.4%
G 3
 
7.7%
P 3
 
7.7%
e 2
 
5.1%
p 2
 
5.1%
A 2
 
5.1%
r 1
 
2.6%
& 1
 
2.6%
Other values (2) 2
 
5.1%

대표자명
Categorical

Distinct35
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
김**
20 
이**
18 
박**
7 
정**
7 
황**
 
5
Other values (30)
50 

Length

Max length6
Median length3
Mean length3.0280374
Min length3

Unique

Unique17 ?
Unique (%)15.9%

Sample

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

Common Values

ValueCountFrequency (%)
김** 20
18.7%
이** 18
16.8%
박** 7
 
6.5%
정** 7
 
6.5%
황** 5
 
4.7%
조** 5
 
4.7%
최** 4
 
3.7%
구** 3
 
2.8%
고** 3
 
2.8%
양** 2
 
1.9%
Other values (25) 33
30.8%

Length

2024-03-23T07:46:24.700349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 20
18.7%
이 18
16.8%
박 7
 
6.5%
정 7
 
6.5%
황 5
 
4.7%
조 5
 
4.7%
최 4
 
3.7%
구 3
 
2.8%
고 3
 
2.8%
오 2
 
1.9%
Other values (25) 33
30.8%

유효기간 시작일
Date

Distinct90
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2020-05-22 00:00:00
Maximum2023-03-16 00:00:00
2024-03-23T07:46:24.944743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:25.336725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct91
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2023-05-21 00:00:00
Maximum2026-09-27 00:00:00
2024-03-23T07:46:25.745580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:26.196608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표품목
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size988.0 B
쌀
19 
파프리카
15 
사과
12 
토마토
8 
단감
7 
Other values (22)
46 

Length

Max length7
Median length5
Mean length2.5420561
Min length1

Unique

Unique12 ?
Unique (%)11.2%

Sample

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

Common Values

ValueCountFrequency (%)
쌀 19
17.8%
파프리카 15
14.0%
사과 12
11.2%
토마토 8
 
7.5%
단감 7
 
6.5%
딸기 6
 
5.6%
표고버섯 5
 
4.7%
배 5
 
4.7%
포도 4
 
3.7%
더덕 3
 
2.8%
Other values (17) 23
21.5%

Length

2024-03-23T07:46:26.618171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쌀 19
17.8%
파프리카 15
14.0%
사과 12
11.2%
토마토 8
 
7.5%
단감 7
 
6.5%
딸기 6
 
5.6%
표고버섯 5
 
4.7%
배 5
 
4.7%
포도 4
 
3.7%
더덕 3
 
2.8%
Other values (17) 23
21.5%

도로명주소
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
강원특별자치도 철원군
15 
경상남도 밀양시
12 
경상남도 창원시
 
6
경상남도 거창군
 
4
경상남도 진주시
 
4
Other values (44)
66 

Length

Max length12
Median length8
Mean length8.635514
Min length7

Unique

Unique28 ?
Unique (%)26.2%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 철원군 15
 
14.0%
경상남도 밀양시 12
 
11.2%
경상남도 창원시 6
 
5.6%
경상남도 거창군 4
 
3.7%
경상남도 진주시 4
 
3.7%
경상북도 상주시 4
 
3.7%
충청남도 금산군 4
 
3.7%
경상남도 함안군 3
 
2.8%
경기도 남양주시 3
 
2.8%
경상남도 산청군 2
 
1.9%
Other values (39) 50
46.7%

Length

2024-03-23T07:46:26.903594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 35
16.4%
강원특별자치도 21
 
9.8%
철원군 15
 
7.0%
밀양시 12
 
5.6%
경상북도 12
 
5.6%
충청남도 12
 
5.6%
경기도 10
 
4.7%
창원시 6
 
2.8%
전라북도 5
 
2.3%
전라남도 5
 
2.3%
Other values (50) 81
37.9%

등록농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1869159
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-23T07:46:27.245481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38.5
95-th percentile21
Maximum97
Range96
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation10.411469
Coefficient of variation (CV)1.44867
Kurtosis52.562871
Mean7.1869159
Median Absolute Deviation (MAD)3
Skewness6.33819
Sum769
Variance108.3987
MonotonicityNot monotonic
2024-03-23T07:46:27.642546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 18
16.8%
3 16
15.0%
2 11
10.3%
5 11
10.3%
8 8
7.5%
13 6
 
5.6%
4 6
 
5.6%
6 5
 
4.7%
9 5
 
4.7%
7 5
 
4.7%
Other values (10) 16
15.0%
ValueCountFrequency (%)
1 18
16.8%
2 11
10.3%
3 16
15.0%
4 6
 
5.6%
5 11
10.3%
6 5
 
4.7%
7 5
 
4.7%
8 8
7.5%
9 5
 
4.7%
10 1
 
0.9%
ValueCountFrequency (%)
97 1
 
0.9%
24 2
 
1.9%
23 2
 
1.9%
21 2
 
1.9%
18 1
 
0.9%
17 1
 
0.9%
14 1
 
0.9%
13 6
5.6%
12 3
2.8%
11 2
 
1.9%

등록필지
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.27103
Minimum0
Maximum8925
Zeros31
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-23T07:46:28.040606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.5
95-th percentile1573.6
Maximum8925
Range8925
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation991.96497
Coefficient of variation (CV)4.3646785
Kurtosis57.289831
Mean227.27103
Median Absolute Deviation (MAD)3
Skewness7.0101405
Sum24318
Variance983994.5
MonotonicityNot monotonic
2024-03-23T07:46:28.438644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 31
29.0%
1 10
 
9.3%
4 10
 
9.3%
3 8
 
7.5%
2 7
 
6.5%
6 2
 
1.9%
5 2
 
1.9%
10 2
 
1.9%
11 2
 
1.9%
236 1
 
0.9%
Other values (32) 32
29.9%
ValueCountFrequency (%)
0 31
29.0%
1 10
 
9.3%
2 7
 
6.5%
3 8
 
7.5%
4 10
 
9.3%
5 2
 
1.9%
6 2
 
1.9%
7 1
 
0.9%
9 1
 
0.9%
10 2
 
1.9%
ValueCountFrequency (%)
8925 1
0.9%
3026 1
0.9%
2817 1
0.9%
2175 1
0.9%
1771 1
0.9%
1726 1
0.9%
1218 1
0.9%
599 1
0.9%
446 1
0.9%
236 1
0.9%

재배면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct76
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560277.13
Minimum0
Maximum16690976
Zeros31
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-23T07:46:28.809284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7948
Q345532
95-th percentile3982828
Maximum16690976
Range16690976
Interquartile range (IQR)45532

Descriptive statistics

Standard deviation2184407.4
Coefficient of variation (CV)3.8987981
Kurtosis31.669356
Mean560277.13
Median Absolute Deviation (MAD)7948
Skewness5.2768828
Sum59949653
Variance4.7716356 × 1012
MonotonicityNot monotonic
2024-03-23T07:46:29.249070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
29.0%
7948.0 2
 
1.9%
1848.0 1
 
0.9%
9413.7 1
 
0.9%
14557.0 1
 
0.9%
65000.0 1
 
0.9%
29656.0 1
 
0.9%
9252.0 1
 
0.9%
3250.0 1
 
0.9%
2330.0 1
 
0.9%
Other values (66) 66
61.7%
ValueCountFrequency (%)
0.0 31
29.0%
1848.0 1
 
0.9%
1921.0 1
 
0.9%
2330.0 1
 
0.9%
2380.0 1
 
0.9%
2876.0 1
 
0.9%
3000.0 1
 
0.9%
3234.0 1
 
0.9%
3250.0 1
 
0.9%
3260.0 1
 
0.9%
ValueCountFrequency (%)
16690976.0 1
0.9%
8940652.0 1
0.9%
8688330.0 1
0.9%
6958035.0 1
0.9%
4835301.31 1
0.9%
4221527.03 1
0.9%
3425863.5 1
0.9%
1482773.99 1
0.9%
881578.0 1
0.9%
586319.2 1
0.9%

Interactions

2024-03-23T07:46:19.842636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:16.726372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:17.794091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:18.822558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:20.102057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:16.989527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:18.230719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:19.099788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:20.354130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:17.244092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:18.375176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:19.367758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:20.519404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:17.496446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:18.562296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:46:19.588970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:46:29.536017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적
등록번호1.0000.5340.4650.9700.0000.9840.9810.2680.7460.6240.7400.740
등록기관0.5341.0000.2421.0000.8740.9970.9980.9821.0000.9110.0000.000
단계구분0.4650.2421.0000.0000.0000.0000.0000.0880.4680.1540.0000.000
생산자단체명0.9701.0000.0001.0001.0000.9990.9991.0001.0001.0001.0001.000
대표자명0.0000.8740.0001.0001.0000.0000.7610.8340.8520.6960.0000.000
유효기간 시작일0.9840.9970.0000.9990.0001.0001.0000.9970.9980.9470.0000.000
유효기간 종료일0.9810.9980.0000.9990.7611.0001.0000.9990.9980.9410.0000.000
대표품목0.2680.9820.0881.0000.8340.9970.9991.0000.9860.3500.0000.000
도로명주소0.7461.0000.4681.0000.8520.9980.9980.9861.0000.9150.0000.000
등록농가수0.6240.9110.1541.0000.6960.9470.9410.3500.9151.0000.4150.415
등록필지0.7400.0000.0001.0000.0000.0000.0000.0000.0000.4151.0001.000
재배면적0.7400.0000.0001.0000.0000.0000.0000.0000.0000.4151.0001.000
2024-03-23T07:46:29.871850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록기관도로명주소대표자명단계구분대표품목
등록기관1.0000.9750.3020.0680.628
도로명주소0.9751.0000.2640.1840.644
대표자명0.3020.2641.0000.0000.320
단계구분0.0680.1840.0001.0000.000
대표품목0.6280.6440.3200.0001.000
2024-03-23T07:46:30.149364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록농가수등록필지재배면적등록기관단계구분대표자명대표품목도로명주소
등록번호1.000-0.699-0.0320.0070.1560.3040.0000.0770.271
등록농가수-0.6991.0000.008-0.0190.5480.1440.3610.1610.539
등록필지-0.0320.0081.0000.9450.0000.0000.0000.0000.000
재배면적0.007-0.0190.9451.0000.0000.0000.0000.0000.000
등록기관0.1560.5480.0000.0001.0000.0680.3020.6280.975
단계구분0.3040.1440.0000.0000.0681.0000.0000.0000.184
대표자명0.0000.3610.0000.0000.3020.0001.0000.3200.264
대표품목0.0770.1610.0000.0000.6280.0000.3201.0000.644
도로명주소0.2710.5390.0000.0000.9750.1840.2640.6441.000

Missing values

2024-03-23T07:46:20.763261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:46:21.187621image/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
41136전남지원 품질관리과유통동곡농협이**2021-07-272024-07-26호박광주광역시 광산구800.0
51885전북지원 무주사무소생산양한오양**2022-03-122025-03-11사과전라북도 무주군72033569.0
62163강원지원 철원사무소유통동송농업협동조합진**2022-05-112025-05-10쌀강원특별자치도 철원군1800.0
72236강원지원 철원사무소유통김화농업협동조합엄**2022-06-052025-06-04쌀강원특별자치도 철원군2300.0
82240강원지원 철원사무소유통철원농업협동조합최**2022-06-052025-06-04쌀강원특별자치도 철원군1300.0
92241강원지원 철원사무소판매철원농업협동조합최**2022-06-052025-06-04쌀강원특별자치도 철원군1300.0
등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적
9711981충남지원 품질관리과생산배광호배**2021-11-012024-10-31표고버섯대전광역시 유성구171921.0
9811982경남지원 함안사무소유통가야원예영농조합법인공**2021-12-082024-12-07<NA>경상남도 함안군1200.0
9911983경남지원 밀양사무소생산안경자안**2021-01-212024-01-20파프리카경상남도 밀양시148036.0
10011984경남지원 밀양사무소생산이용재이**2022-02-072025-02-06단감경상남도 밀양시4344600.0
10111985충남지원 서산ㆍ태안사무소생산원북면영농조합법인김**2022-03-312025-03-30토마토충청남도 태안군1224270.0
10211986경남지원 품질관리과생산변재복변**2022-07-292025-07-28참다래(키위)경상남도 창원시1422145.0
10311987경기지원 남양주ㆍ구리사무소유통농업회사법인 신선미세상(주)손**2022-10-192025-10-18상추경기도 남양주시500.0
10411988경북지원 청송ㆍ영양사무소유통농업회사법인주식회사솔스윗지**2022-12-202025-12-19사과경상북도 청송군100.0
10511989경남지원 산청사무소생산조형섭조**2023-01-112026-01-10곶감경상남도 산청군11025552.0
10611990경남지원 밀양사무소생산이병태(하늘농원)이**2023-01-132026-01-12사과경상남도 밀양시12324220.5