Overview

Dataset statistics

Number of variables12
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory19.6 KiB
Average record size in memory100.7 B

Variable types

Numeric4
Text3
Categorical3
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

Dataset has 1 (0.5%) duplicate rowsDuplicates
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
등록필지 has 48 (24.1%) zerosZeros
재배면적 has 48 (24.1%) zerosZeros

Reproduction

Analysis started2024-03-23 07:45:08.021160
Analysis finished2024-03-23 07:45:14.735063
Duration6.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

HIGH CORRELATION 

Distinct198
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8663.3065
Minimum14
Maximum11984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-23T07:45:14.934934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile2181
Q14737.5
median11278
Q311932.5
95-th percentile11973.1
Maximum11984
Range11970
Interquartile range (IQR)7195

Descriptive statistics

Standard deviation4014.8459
Coefficient of variation (CV)0.46343113
Kurtosis-1.1661402
Mean8663.3065
Median Absolute Deviation (MAD)689
Skewness-0.7317475
Sum1723998
Variance16118988
MonotonicityIncreasing
2024-03-23T07:45:15.274236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2438 2
 
1.0%
14 1
 
0.5%
11904 1
 
0.5%
11865 1
 
0.5%
11870 1
 
0.5%
11873 1
 
0.5%
11874 1
 
0.5%
11882 1
 
0.5%
11887 1
 
0.5%
11896 1
 
0.5%
Other values (188) 188
94.5%
ValueCountFrequency (%)
14 1
0.5%
304 1
0.5%
878 1
0.5%
879 1
0.5%
1029 1
0.5%
1136 1
0.5%
1885 1
0.5%
2100 1
0.5%
2135 1
0.5%
2163 1
0.5%
ValueCountFrequency (%)
11984 1
0.5%
11983 1
0.5%
11982 1
0.5%
11981 1
0.5%
11980 1
0.5%
11978 1
0.5%
11977 1
0.5%
11976 1
0.5%
11975 1
0.5%
11974 1
0.5%

등록기관
Text

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-23T07:45:15.608995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.351759
Min length10

Characters and Unicode

Total characters2060
Distinct characters78
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)12.6%

Sample

1st row경북지원 문경사무소
2nd row경기지원 화성ㆍ오산사무소
3rd row경기지원 남양주ㆍ구리사무소
4th row경기지원 남양주ㆍ구리사무소
5th row경기지원 김포사무소
ValueCountFrequency (%)
경남지원 52
 
13.1%
강원지원 48
 
12.1%
철원사무소 30
 
7.5%
경기지원 26
 
6.5%
품질관리과 22
 
5.5%
충남지원 21
 
5.3%
김포사무소 14
 
3.5%
경북지원 14
 
3.5%
전남지원 14
 
3.5%
함안사무소 13
 
3.3%
Other values (54) 144
36.2%
2024-03-23T07:45:16.554278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 283
13.7%
지 199
 
9.7%
199
 
9.7%
무 181
 
8.8%
사 177
 
8.6%
소 177
 
8.6%
남 99
 
4.8%
경 94
 
4.6%
강 51
 
2.5%
주 33
 
1.6%
Other values (68) 567
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1861
90.3%
Space Separator 199
 
9.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 283
15.2%
지 199
 
10.7%
무 181
 
9.7%
사 177
 
9.5%
소 177
 
9.5%
남 99
 
5.3%
경 94
 
5.1%
강 51
 
2.7%
주 33
 
1.8%
철 30
 
1.6%
Other values (67) 537
28.9%
Space Separator
ValueCountFrequency (%)
199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1861
90.3%
Common 199
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 283
15.2%
지 199
 
10.7%
무 181
 
9.7%
사 177
 
9.5%
소 177
 
9.5%
남 99
 
5.3%
경 94
 
5.1%
강 51
 
2.7%
주 33
 
1.8%
철 30
 
1.6%
Other values (67) 537
28.9%
Common
ValueCountFrequency (%)
199
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1840
89.3%
ASCII 199
 
9.7%
Compat Jamo 21
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 283
15.4%
지 199
 
10.8%
무 181
 
9.8%
사 177
 
9.6%
소 177
 
9.6%
남 99
 
5.4%
경 94
 
5.1%
강 51
 
2.8%
주 33
 
1.8%
철 30
 
1.6%
Other values (66) 516
28.0%
ASCII
ValueCountFrequency (%)
199
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 21
100.0%

단계구분
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
생산
151 
유통
37 
판매
 
11

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 151
75.9%
유통 37
 
18.6%
판매 11
 
5.5%

Length

2024-03-23T07:45:16.950944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:45:17.258132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산 151
75.9%
유통 37
 
18.6%
판매 11
 
5.5%

생산자단체명
Text

Distinct185
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-23T07:45:17.687690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.1909548
Min length2

Characters and Unicode

Total characters1431
Distinct characters252
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

Unique171 ?
Unique (%)85.9%

Sample

1st row문경농협경제사업본부
2nd row수원지구원예농협산지유통센터
3rd row진접농업협동조합
4th row미금농업협동조합
5th row신김포농협미곡종합처리장양촌사업소
ValueCountFrequency (%)
농업회사법인 7
 
3.3%
주식회사 3
 
1.4%
성남배작목반 2
 
0.9%
그린농산 2
 
0.9%
김화농협apc 2
 
0.9%
주)청솔 2
 
0.9%
김진호 2
 
0.9%
금산흑삼주식회사 2
 
0.9%
금산농협농산물산지유통센터 2
 
0.9%
마조단지 2
 
0.9%
Other values (182) 188
87.9%
2024-03-23T07:45:18.359227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 92
 
6.4%
조 50
 
3.5%
합 47
 
3.3%
협 42
 
2.9%
인 39
 
2.7%
법 37
 
2.6%
영 36
 
2.5%
목 32
 
2.2%
산 31
 
2.2%
작 31
 
2.2%
Other values (242) 994
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1380
96.4%
Space Separator 15
 
1.0%
Uppercase Letter 13
 
0.9%
Close Punctuation 8
 
0.6%
Open Punctuation 8
 
0.6%
Lowercase Letter 5
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 92
 
6.7%
조 50
 
3.6%
합 47
 
3.4%
협 42
 
3.0%
인 39
 
2.8%
법 37
 
2.7%
영 36
 
2.6%
목 32
 
2.3%
산 31
 
2.2%
작 31
 
2.2%
Other values (228) 943
68.3%
Uppercase Letter
ValueCountFrequency (%)
P 4
30.8%
A 3
23.1%
C 2
15.4%
G 2
15.4%
T 1
 
7.7%
K 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
p 2
40.0%
e 2
40.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1380
96.4%
Common 33
 
2.3%
Latin 18
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 92
 
6.7%
조 50
 
3.6%
합 47
 
3.4%
협 42
 
3.0%
인 39
 
2.8%
법 37
 
2.7%
영 36
 
2.6%
목 32
 
2.3%
산 31
 
2.2%
작 31
 
2.2%
Other values (228) 943
68.3%
Latin
ValueCountFrequency (%)
P 4
22.2%
A 3
16.7%
C 2
11.1%
G 2
11.1%
p 2
11.1%
e 2
11.1%
r 1
 
5.6%
T 1
 
5.6%
K 1
 
5.6%
Common
ValueCountFrequency (%)
15
45.5%
) 8
24.2%
( 8
24.2%
& 1
 
3.0%
. 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1380
96.4%
ASCII 51
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 92
 
6.7%
조 50
 
3.6%
합 47
 
3.4%
협 42
 
3.0%
인 39
 
2.8%
법 37
 
2.7%
영 36
 
2.6%
목 32
 
2.3%
산 31
 
2.2%
작 31
 
2.2%
Other values (228) 943
68.3%
ASCII
ValueCountFrequency (%)
15
29.4%
) 8
15.7%
( 8
15.7%
P 4
 
7.8%
A 3
 
5.9%
C 2
 
3.9%
G 2
 
3.9%
p 2
 
3.9%
e 2
 
3.9%
r 1
 
2.0%
Other values (4) 4
 
7.8%

대표자명
Categorical

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
김**
37 
이**
33 
박**
17 
정**
13 
조**
 
9
Other values (36)
90 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique12 ?
Unique (%)6.0%

Sample

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

Common Values

ValueCountFrequency (%)
김** 37
18.6%
이** 33
16.6%
박** 17
 
8.5%
정** 13
 
6.5%
조** 9
 
4.5%
최** 6
 
3.0%
유** 6
 
3.0%
황** 5
 
2.5%
고** 5
 
2.5%
엄** 4
 
2.0%
Other values (31) 64
32.2%

Length

2024-03-23T07:45:18.760337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 37
18.6%
이 33
16.6%
박 17
 
8.5%
정 13
 
6.5%
조 9
 
4.5%
최 6
 
3.0%
유 6
 
3.0%
황 5
 
2.5%
고 5
 
2.5%
엄 4
 
2.0%
Other values (31) 64
32.2%

유효기간 시작일
Date

Distinct145
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-03-26 00:00:00
Maximum2022-03-15 00:00:00
2024-03-23T07:45:19.136110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:19.555041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct146
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2022-03-25 00:00:00
Maximum2026-09-27 00:00:00
2024-03-23T07:45:20.165652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:20.569060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표품목
Categorical

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
쌀
44 
파프리카
33 
사과
15 
토마토
14 
배
10 
Other values (36)
83 

Length

Max length7
Median length5
Mean length2.4874372
Min length1

Unique

Unique20 ?
Unique (%)10.1%

Sample

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

Common Values

ValueCountFrequency (%)
쌀 44
22.1%
파프리카 33
16.6%
사과 15
 
7.5%
토마토 14
 
7.0%
배 10
 
5.0%
단감 10
 
5.0%
딸기 8
 
4.0%
표고버섯 6
 
3.0%
포도 6
 
3.0%
더덕 6
 
3.0%
Other values (31) 47
23.6%

Length

2024-03-23T07:45:21.007810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쌀 44
22.1%
파프리카 33
16.6%
사과 15
 
7.5%
토마토 14
 
7.0%
배 10
 
5.0%
단감 10
 
5.0%
딸기 8
 
4.0%
표고버섯 6
 
3.0%
포도 6
 
3.0%
더덕 6
 
3.0%
Other values (31) 47
23.6%

도로명주소
Text

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-23T07:45:21.456549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length7.7939698
Min length7

Characters and Unicode

Total characters1551
Distinct characters75
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)15.1%

Sample

1st row경상북도 문경시
2nd row경기도 화성시
3rd row경기도 남양주시
4th row경기도 남양주시
5th row경기도 김포시
ValueCountFrequency (%)
경상남도 52
 
13.1%
강원도 48
 
12.1%
철원군 30
 
7.5%
경기도 26
 
6.5%
충청남도 19
 
4.8%
김포시 14
 
3.5%
경상북도 14
 
3.5%
전라남도 12
 
3.0%
밀양시 11
 
2.8%
전라북도 11
 
2.8%
Other values (65) 161
40.5%
2024-03-23T07:45:22.345964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
12.8%
도 195
 
12.6%
시 100
 
6.4%
군 99
 
6.4%
경 94
 
6.1%
남 93
 
6.0%
원 90
 
5.8%
상 71
 
4.6%
강 51
 
3.3%
주 41
 
2.6%
Other values (65) 518
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1352
87.2%
Space Separator 199
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 195
14.4%
시 100
 
7.4%
군 99
 
7.3%
경 94
 
7.0%
남 93
 
6.9%
원 90
 
6.7%
상 71
 
5.3%
강 51
 
3.8%
주 41
 
3.0%
북 31
 
2.3%
Other values (64) 487
36.0%
Space Separator
ValueCountFrequency (%)
199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1352
87.2%
Common 199
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 195
14.4%
시 100
 
7.4%
군 99
 
7.3%
경 94
 
7.0%
남 93
 
6.9%
원 90
 
6.7%
상 71
 
5.3%
강 51
 
3.8%
주 41
 
3.0%
북 31
 
2.3%
Other values (64) 487
36.0%
Common
ValueCountFrequency (%)
199
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1352
87.2%
ASCII 199
 
12.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
100.0%
Hangul
ValueCountFrequency (%)
도 195
14.4%
시 100
 
7.4%
군 99
 
7.3%
경 94
 
7.0%
남 93
 
6.9%
원 90
 
6.7%
상 71
 
5.3%
강 51
 
3.8%
주 41
 
3.0%
북 31
 
2.3%
Other values (64) 487
36.0%

등록농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8592965
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-23T07:45:22.771890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile14
Maximum21
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.770522
Coefficient of variation (CV)0.81418
Kurtosis0.79760715
Mean5.8592965
Median Absolute Deviation (MAD)3
Skewness1.108758
Sum1166
Variance22.75788
MonotonicityNot monotonic
2024-03-23T07:45:23.159937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 39
19.6%
4 23
11.6%
2 22
11.1%
3 20
10.1%
5 16
8.0%
12 11
 
5.5%
11 11
 
5.5%
8 10
 
5.0%
10 10
 
5.0%
6 9
 
4.5%
Other values (8) 28
14.1%
ValueCountFrequency (%)
1 39
19.6%
2 22
11.1%
3 20
10.1%
4 23
11.6%
5 16
8.0%
6 9
 
4.5%
7 6
 
3.0%
8 10
 
5.0%
9 5
 
2.5%
10 10
 
5.0%
ValueCountFrequency (%)
21 4
 
2.0%
19 2
 
1.0%
17 1
 
0.5%
15 2
 
1.0%
14 4
 
2.0%
13 4
 
2.0%
12 11
5.5%
11 11
5.5%
10 10
5.0%
9 5
2.5%

등록필지
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.95477
Minimum0
Maximum9658
Zeros48
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-23T07:45:23.564250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q341.5
95-th percentile1153.5
Maximum9658
Range9658
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation903.19739
Coefficient of variation (CV)4.3224539
Kurtosis65.084987
Mean208.95477
Median Absolute Deviation (MAD)4
Skewness7.2845121
Sum41582
Variance815765.52
MonotonicityNot monotonic
2024-03-23T07:45:23.981202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
24.1%
2 18
 
9.0%
3 16
 
8.0%
1 15
 
7.5%
4 11
 
5.5%
5 9
 
4.5%
6 4
 
2.0%
8 3
 
1.5%
7 3
 
1.5%
11 3
 
1.5%
Other values (61) 69
34.7%
ValueCountFrequency (%)
0 48
24.1%
1 15
 
7.5%
2 18
 
9.0%
3 16
 
8.0%
4 11
 
5.5%
5 9
 
4.5%
6 4
 
2.0%
7 3
 
1.5%
8 3
 
1.5%
9 2
 
1.0%
ValueCountFrequency (%)
9658 1
0.5%
4376 1
0.5%
4190 1
0.5%
3082 1
0.5%
3026 1
0.5%
2488 1
0.5%
2175 1
0.5%
1764 1
0.5%
1549 1
0.5%
1248 1
0.5%

재배면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct150
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean558080.1
Minimum0
Maximum18042038
Zeros48
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-23T07:45:24.490009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11884.5
median9120
Q384000
95-th percentile3489501.2
Maximum18042038
Range18042038
Interquartile range (IQR)82115.5

Descriptive statistics

Standard deviation2210381.5
Coefficient of variation (CV)3.9606886
Kurtosis31.631509
Mean558080.1
Median Absolute Deviation (MAD)9120
Skewness5.3823408
Sum1.1105794 × 108
Variance4.8857863 × 1012
MonotonicityNot monotonic
2024-03-23T07:45:24.995366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 48
 
24.1%
7948.0 2
 
1.0%
501829.0 2
 
1.0%
9384.0 1
 
0.5%
3646.0 1
 
0.5%
12668.0 1
 
0.5%
18162.0 1
 
0.5%
7260.0 1
 
0.5%
18063.8 1
 
0.5%
13891.4 1
 
0.5%
Other values (140) 140
70.4%
ValueCountFrequency (%)
0.0 48
24.1%
162.0 1
 
0.5%
1848.0 1
 
0.5%
1921.0 1
 
0.5%
2330.0 1
 
0.5%
2380.0 1
 
0.5%
2447.0 1
 
0.5%
2744.0 1
 
0.5%
2749.82 1
 
0.5%
2876.0 1
 
0.5%
ValueCountFrequency (%)
18042038.0 1
0.5%
13030084.0 1
0.5%
12964151.0 1
0.5%
10017577.79 1
0.5%
8940652.0 1
0.5%
7533517.0 1
0.5%
6958035.0 1
0.5%
4916257.04 1
0.5%
3737970.0 1
0.5%
3683924.15 1
0.5%

Interactions

2024-03-23T07:45:13.279502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:10.043732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:10.942529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:12.049763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:13.544610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:10.246160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:11.263289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:12.521454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:13.810177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:10.434296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:11.521709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:12.782426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:13.967671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:10.676823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:11.774564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:45:13.018042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:45:25.240409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록기관단계구분대표자명대표품목도로명주소등록농가수등록필지재배면적
등록번호1.0000.6760.4600.6060.5550.7650.7600.4990.461
등록기관0.6761.0000.3600.7050.9721.0000.0000.0000.000
단계구분0.4600.3601.0000.0000.2770.4680.5060.0000.000
대표자명0.6060.7050.0001.0000.6090.6710.6000.7170.668
대표품목0.5550.9720.2770.6091.0000.9680.6030.0000.000
도로명주소0.7651.0000.4680.6710.9681.0000.0000.0000.000
등록농가수0.7600.0000.5060.6000.6030.0001.0000.4450.338
등록필지0.4990.0000.0000.7170.0000.0000.4451.0000.984
재배면적0.4610.0000.0000.6680.0000.0000.3380.9841.000
2024-03-23T07:45:25.456173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단계구분대표품목대표자명
단계구분1.0000.1240.000
대표품목0.1241.0000.116
대표자명0.0000.1161.000
2024-03-23T07:45:25.666552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록농가수등록필지재배면적단계구분대표자명대표품목
등록번호1.000-0.743-0.156-0.1310.3050.2310.189
등록농가수-0.7431.0000.1560.1270.3890.2500.177
등록필지-0.1560.1561.0000.9520.0000.3650.000
재배면적-0.1310.1270.9521.0000.0000.2940.000
단계구분0.3050.3890.0000.0001.0000.0000.124
대표자명0.2310.2500.3650.2940.0001.0000.116
대표품목0.1890.1770.0000.0000.1240.1161.000

Missing values

2024-03-23T07:45:14.221366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:45:14.534687image/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 김포시700.0
51136전남지원 품질관리과유통동곡농협이**2021-07-272024-07-26호박광주광역시 광산구800.0
61885전북지원 무주사무소생산양한오양**2022-03-122025-03-11사과전라북도 무주군72033569.0
72100경북지원 청송ㆍ영양사무소유통농업회사법인주식회사솔스윗지**2019-05-012022-04-30사과경상북도 청송군1000.0
82135강원지원 홍천사무소생산서석농협오이공선출하회김**2019-06-102022-06-09오이강원도 홍천군105496802.6
92163강원지원 철원사무소유통동송농업협동조합진**2019-05-112022-05-10쌀강원도 철원군1500.0
등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적
18911974경남지원 진주사무소생산이제웅이**2021-04-302024-04-29단감경상남도 진주시1246464.0
19011975강원지원 강릉사무소생산맘보파프리카김**2021-07-212024-07-20파프리카강원도 강릉시114575.4
19111976강원지원 홍천사무소생산서석농협토마토공선출하회정**2021-07-222024-07-21토마토강원도 홍천군31121350.6
19211977전북지원 남원사무소생산춘향골바래봉파프리카작목반이**2021-08-242024-08-23파프리카전라북도 남원시1796213202.9
19311978전북지원 남원사무소유통운봉농협농산물산지유통센터서**2021-08-242024-08-23파프리카전라북도 남원시100.0
19411980경남지원 품질관리과생산이호륜이**2021-09-062024-09-05파프리카경상남도 창원시149735.1
19511981충남지원 품질관리과생산배광호배**2021-11-012024-10-31표고버섯대전광역시 유성구171921.0
19611982경남지원 함안사무소유통가야원예영농조합법인박**2021-12-082024-12-07<NA>경상남도 함안군1100.0
19711983경남지원 밀양사무소생산안경자안**2021-01-212024-01-20파프리카경상남도 밀양시148036.0
19811984경남지원 밀양사무소생산이용재이**2022-02-072025-02-06단감경상남도 밀양시4344600.0

Duplicate rows

Most frequently occurring

등록번호등록기관단계구분생산자단체명대표자명유효기간 시작일유효기간 종료일대표품목도로명주소등록농가수등록필지재배면적# duplicates
02438경기지원 김포사무소생산마조단지박**2019-06-182022-06-17쌀경기도 김포시10249501829.02