Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells98
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory109.0 B

Variable types

Numeric5
Text3
Categorical1
DateTime3

Dataset

Description국립농산물품질관리원에서 관리하는 농산물우수관리(GAP) 인증정보(인증번호, 인증기관, 개인/단체, 생산자단체, 유효기간 시작일, 유효기간 종료일, 품목, 주소, 등록 농가수, 등록 필지수, 재배면적, 생산계획량, 지정일자)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181019000000000972

Alerts

등록 농가수 is highly overall correlated with 등록 필지수 and 2 other fieldsHigh correlation
등록 필지수 is highly overall correlated with 등록 농가수 and 2 other fieldsHigh correlation
재배면적 is highly overall correlated with 등록 농가수 and 2 other fieldsHigh correlation
생산계획량 is highly overall correlated with 등록 농가수 and 2 other fieldsHigh correlation
생산계획량 is highly skewed (γ1 = 68.43232914)Skewed
GAP인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:36:44.318345
Analysis finished2023-12-11 03:36:48.899158
Duration4.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

GAP인증번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013427.1
Minimum1000003
Maximum1021943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:48.999030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000003
5-th percentile1002966.9
Q11008976.2
median1014378.5
Q31018628.2
95-th percentile1021248.1
Maximum1021943
Range21940
Interquartile range (IQR)9652

Descriptive statistics

Standard deviation5929.4279
Coefficient of variation (CV)0.0058508675
Kurtosis-0.94863599
Mean1013427.1
Median Absolute Deviation (MAD)4663
Skewness-0.43499841
Sum1.0134271 × 1010
Variance35158115
MonotonicityNot monotonic
2023-12-11T12:36:49.146509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1009759 1
 
< 0.1%
1017356 1
 
< 0.1%
1016546 1
 
< 0.1%
1015987 1
 
< 0.1%
1014891 1
 
< 0.1%
1017479 1
 
< 0.1%
1008646 1
 
< 0.1%
1020050 1
 
< 0.1%
1021714 1
 
< 0.1%
1010126 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1000003 1
< 0.1%
1000014 1
< 0.1%
1000029 1
< 0.1%
1000031 1
< 0.1%
1000032 1
< 0.1%
1000033 1
< 0.1%
1000034 1
< 0.1%
1000035 1
< 0.1%
1000041 1
< 0.1%
1000058 1
< 0.1%
ValueCountFrequency (%)
1021943 1
< 0.1%
1021942 1
< 0.1%
1021941 1
< 0.1%
1021937 1
< 0.1%
1021936 1
< 0.1%
1021934 1
< 0.1%
1021933 1
< 0.1%
1021931 1
< 0.1%
1021929 1
< 0.1%
1021928 1
< 0.1%

인증기관
Text

Distinct60
Distinct (%)0.6%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T12:36:49.386131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length11.452116
Min length6

Characters and Unicode

Total characters114441
Distinct characters138
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row㈜비씨에스코리아
2nd row농협경제지주(주)식품R&D연구소
3rd row아이센(주)
4th row(주)온누리지에이피
5th row주식회사 농식품인증관리원
ValueCountFrequency (%)
주식회사 3993
26.0%
산학협력단 806
 
5.2%
아이센(주 738
 
4.8%
농식품인증관리원 720
 
4.7%
플럼코트맘 667
 
4.3%
경상국립대학교 562
 
3.7%
주)에버그린농우회 406
 
2.6%
농업회사법인 362
 
2.4%
농품 362
 
2.4%
푸름인증원 358
 
2.3%
Other values (57) 6404
41.6%
2023-12-11T12:36:49.779708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8263
 
7.2%
식 5655
 
4.9%
5385
 
4.7%
회 5135
 
4.5%
사 4837
 
4.2%
농 4620
 
4.0%
( 4594
 
4.0%
) 4594
 
4.0%
인 4568
 
4.0%
증 3759
 
3.3%
Other values (128) 63031
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98641
86.2%
Space Separator 5385
 
4.7%
Open Punctuation 4594
 
4.0%
Close Punctuation 4594
 
4.0%
Uppercase Letter 622
 
0.5%
Other Punctuation 311
 
0.3%
Other Symbol 294
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8263
 
8.4%
식 5655
 
5.7%
회 5135
 
5.2%
사 4837
 
4.9%
농 4620
 
4.7%
인 4568
 
4.6%
증 3759
 
3.8%
원 3324
 
3.4%
에 2405
 
2.4%
품 2193
 
2.2%
Other values (120) 53882
54.6%
Uppercase Letter
ValueCountFrequency (%)
D 311
50.0%
R 311
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 251
85.4%
㈔ 43
 
14.6%
Space Separator
ValueCountFrequency (%)
5385
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4594
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4594
100.0%
Other Punctuation
ValueCountFrequency (%)
& 311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98935
86.5%
Common 14884
 
13.0%
Latin 622
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8263
 
8.4%
식 5655
 
5.7%
회 5135
 
5.2%
사 4837
 
4.9%
농 4620
 
4.7%
인 4568
 
4.6%
증 3759
 
3.8%
원 3324
 
3.4%
에 2405
 
2.4%
품 2193
 
2.2%
Other values (122) 54176
54.8%
Common
ValueCountFrequency (%)
5385
36.2%
( 4594
30.9%
) 4594
30.9%
& 311
 
2.1%
Latin
ValueCountFrequency (%)
D 311
50.0%
R 311
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98641
86.2%
ASCII 15506
 
13.5%
None 294
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8263
 
8.4%
식 5655
 
5.7%
회 5135
 
5.2%
사 4837
 
4.9%
농 4620
 
4.7%
인 4568
 
4.6%
증 3759
 
3.8%
원 3324
 
3.4%
에 2405
 
2.4%
품 2193
 
2.2%
Other values (120) 53882
54.6%
ASCII
ValueCountFrequency (%)
5385
34.7%
( 4594
29.6%
) 4594
29.6%
D 311
 
2.0%
& 311
 
2.0%
R 311
 
2.0%
None
ValueCountFrequency (%)
㈜ 251
85.4%
㈔ 43
 
14.6%

개인/단체 구분명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인
6740 
단체
2626 
법인
 
629
<NA>
 
5

Length

Max length4
Median length2
Mean length2.001
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row단체
3rd row개인
4th row단체
5th row개인

Common Values

ValueCountFrequency (%)
개인 6740
67.4%
단체 2626
 
26.3%
법인 629
 
6.3%
<NA> 5
 
0.1%

Length

2023-12-11T12:36:49.941320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:36:50.052901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 6740
67.4%
단체 2626
 
26.3%
법인 629
 
6.3%
na 5
 
< 0.1%

유효기간 시작일
Date

Distinct797
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-06-21 00:00:00
Maximum2023-06-19 00:00:00
2023-12-11T12:36:50.169201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:50.317023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct802
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-06-19 00:00:00
Maximum2026-06-14 00:00:00
2023-12-11T12:36:50.459973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:50.607345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

품목
Text

Distinct381
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:50.908973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length2
Mean length2.5523
Min length1

Characters and Unicode

Total characters25523
Distinct characters295
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

Unique129 ?
Unique (%)1.3%

Sample

1st row인삼
2nd row사과
3rd row딸기
4th row포도
5th row딸기
ValueCountFrequency (%)
딸기 1009
 
10.1%
사과 998
 
10.0%
포도 744
 
7.4%
배 462
 
4.6%
토마토 361
 
3.6%
복숭아 323
 
3.2%
단감 298
 
3.0%
블루베리 289
 
2.9%
쌀 245
 
2.4%
표고버섯 226
 
2.3%
Other values (369) 5050
50.5%
2023-12-11T12:36:51.345223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1220
 
4.8%
토 1201
 
4.7%
딸 1092
 
4.3%
과 1045
 
4.1%
사 1021
 
4.0%
추 948
 
3.7%
마 865
 
3.4%
도 767
 
3.0%
포 755
 
3.0%
감 678
 
2.7%
Other values (285) 15931
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24949
97.8%
Close Punctuation 270
 
1.1%
Open Punctuation 270
 
1.1%
Other Punctuation 23
 
0.1%
Decimal Number 6
 
< 0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1220
 
4.9%
토 1201
 
4.8%
딸 1092
 
4.4%
과 1045
 
4.2%
사 1021
 
4.1%
추 948
 
3.8%
마 865
 
3.5%
도 767
 
3.1%
포 755
 
3.0%
감 678
 
2.7%
Other values (278) 15357
61.6%
Decimal Number
ValueCountFrequency (%)
6 4
66.7%
5 1
 
16.7%
4 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24949
97.8%
Common 574
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1220
 
4.9%
토 1201
 
4.8%
딸 1092
 
4.4%
과 1045
 
4.2%
사 1021
 
4.1%
추 948
 
3.8%
마 865
 
3.5%
도 767
 
3.1%
포 755
 
3.0%
감 678
 
2.7%
Other values (278) 15357
61.6%
Common
ValueCountFrequency (%)
) 270
47.0%
( 270
47.0%
, 23
 
4.0%
5
 
0.9%
6 4
 
0.7%
5 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24949
97.8%
ASCII 574
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1220
 
4.9%
토 1201
 
4.8%
딸 1092
 
4.4%
과 1045
 
4.2%
사 1021
 
4.1%
추 948
 
3.8%
마 865
 
3.5%
도 767
 
3.1%
포 755
 
3.0%
감 678
 
2.7%
Other values (278) 15357
61.6%
ASCII
ValueCountFrequency (%)
) 270
47.0%
( 270
47.0%
, 23
 
4.0%
5
 
0.9%
6 4
 
0.7%
5 1
 
0.2%
4 1
 
0.2%

주소
Text

Distinct212
Distinct (%)2.1%
Missing91
Missing (%)0.9%
Memory size156.2 KiB
2023-12-11T12:36:51.988693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.4435362
Min length7

Characters and Unicode

Total characters83667
Distinct characters141
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

Unique20 ?
Unique (%)0.2%

Sample

1st row충청북도 괴산군
2nd row충청북도 음성군
3rd row울산광역시 북구
4th row경상북도 경산시
5th row경기도 고양시 덕양구
ValueCountFrequency (%)
경상남도 1812
 
8.8%
경상북도 1672
 
8.1%
전라남도 1300
 
6.3%
경기도 1180
 
5.7%
충청남도 1085
 
5.3%
전라북도 877
 
4.3%
충청북도 874
 
4.3%
강원특별자치도 440
 
2.1%
금산군 327
 
1.6%
밀양시 326
 
1.6%
Other values (214) 10651
51.8%
2023-12-11T12:36:52.534462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10635
 
12.7%
도 9641
 
11.5%
시 5689
 
6.8%
경 5008
 
6.0%
남 4472
 
5.3%
군 4389
 
5.2%
상 3666
 
4.4%
북 3571
 
4.3%
청 2419
 
2.9%
전 2326
 
2.8%
Other values (131) 31851
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73032
87.3%
Space Separator 10635
 
12.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9641
 
13.2%
시 5689
 
7.8%
경 5008
 
6.9%
남 4472
 
6.1%
군 4389
 
6.0%
상 3666
 
5.0%
북 3571
 
4.9%
청 2419
 
3.3%
전 2326
 
3.2%
주 2303
 
3.2%
Other values (130) 29548
40.5%
Space Separator
ValueCountFrequency (%)
10635
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73032
87.3%
Common 10635
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9641
 
13.2%
시 5689
 
7.8%
경 5008
 
6.9%
남 4472
 
6.1%
군 4389
 
6.0%
상 3666
 
5.0%
북 3571
 
4.9%
청 2419
 
3.3%
전 2326
 
3.2%
주 2303
 
3.2%
Other values (130) 29548
40.5%
Common
ValueCountFrequency (%)
10635
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73032
87.3%
ASCII 10635
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10635
100.0%
Hangul
ValueCountFrequency (%)
도 9641
 
13.2%
시 5689
 
7.8%
경 5008
 
6.9%
남 4472
 
6.1%
군 4389
 
6.0%
상 3666
 
5.0%
북 3571
 
4.9%
청 2419
 
3.3%
전 2326
 
3.2%
주 2303
 
3.2%
Other values (130) 29548
40.5%

등록 농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct222
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2609
Minimum1
Maximum1203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:52.678551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile43
Maximum1203
Range1202
Interquartile range (IQR)3

Descriptive statistics

Standard deviation41.50922
Coefficient of variation (CV)4.0453781
Kurtosis287.17117
Mean10.2609
Median Absolute Deviation (MAD)0
Skewness14.032403
Sum102609
Variance1723.0153
MonotonicityNot monotonic
2023-12-11T12:36:52.820838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7128
71.3%
2 195
 
1.9%
9 124
 
1.2%
8 122
 
1.2%
10 116
 
1.2%
3 113
 
1.1%
4 110
 
1.1%
5 107
 
1.1%
6 98
 
1.0%
7 98
 
1.0%
Other values (212) 1789
 
17.9%
ValueCountFrequency (%)
1 7128
71.3%
2 195
 
1.9%
3 113
 
1.1%
4 110
 
1.1%
5 107
 
1.1%
6 98
 
1.0%
7 98
 
1.0%
8 122
 
1.2%
9 124
 
1.2%
10 116
 
1.2%
ValueCountFrequency (%)
1203 1
< 0.1%
1102 1
< 0.1%
1092 1
< 0.1%
1059 1
< 0.1%
827 1
< 0.1%
804 1
< 0.1%
784 1
< 0.1%
721 1
< 0.1%
707 1
< 0.1%
621 1
< 0.1%

등록 필지수
Real number (ℝ)

HIGH CORRELATION 

Distinct476
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.1102
Minimum1
Maximum5719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:52.959236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q320
95-th percentile157
Maximum5719
Range5718
Interquartile range (IQR)18

Descriptive statistics

Standard deviation156.39532
Coefficient of variation (CV)4.1037653
Kurtosis396.25876
Mean38.1102
Median Absolute Deviation (MAD)3
Skewness15.628191
Sum381102
Variance24459.495
MonotonicityNot monotonic
2023-12-11T12:36:53.109689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1831
18.3%
2 1532
15.3%
3 946
 
9.5%
4 714
 
7.1%
5 487
 
4.9%
6 387
 
3.9%
7 255
 
2.5%
8 246
 
2.5%
9 203
 
2.0%
10 155
 
1.6%
Other values (466) 3244
32.4%
ValueCountFrequency (%)
1 1831
18.3%
2 1532
15.3%
3 946
9.5%
4 714
 
7.1%
5 487
 
4.9%
6 387
 
3.9%
7 255
 
2.5%
8 246
 
2.5%
9 203
 
2.0%
10 155
 
1.6%
ValueCountFrequency (%)
5719 1
< 0.1%
5293 1
< 0.1%
3830 1
< 0.1%
2669 1
< 0.1%
2422 1
< 0.1%
2378 1
< 0.1%
2277 1
< 0.1%
2266 1
< 0.1%
2227 1
< 0.1%
2146 1
< 0.1%

재배면적
Real number (ℝ)

HIGH CORRELATION 

Distinct7891
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81450.374
Minimum6
Maximum10711404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:53.264362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile1070.95
Q13340
median7969
Q336363.25
95-th percentile337813.3
Maximum10711404
Range10711398
Interquartile range (IQR)33023.25

Descriptive statistics

Standard deviation344851.62
Coefficient of variation (CV)4.2338863
Kurtosis252.02853
Mean81450.374
Median Absolute Deviation (MAD)5956
Skewness12.918424
Sum8.1450374 × 108
Variance1.1892264 × 1011
MonotonicityNot monotonic
2023-12-11T12:36:53.405730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3300.0 49
 
0.5%
2000.0 48
 
0.5%
1000.0 32
 
0.3%
3000.0 29
 
0.3%
1980.0 28
 
0.3%
3960.0 25
 
0.2%
1500.0 23
 
0.2%
660.0 23
 
0.2%
6600.0 21
 
0.2%
2640.0 20
 
0.2%
Other values (7881) 9702
97.0%
ValueCountFrequency (%)
6.0 1
< 0.1%
24.3 1
< 0.1%
25.0 1
< 0.1%
25.1 1
< 0.1%
30.0 1
< 0.1%
40.0 1
< 0.1%
42.0 1
< 0.1%
52.8 1
< 0.1%
53.0 1
< 0.1%
57.6 1
< 0.1%
ValueCountFrequency (%)
10711404.0 1
< 0.1%
10123508.43 1
< 0.1%
6706459.9 1
< 0.1%
5928841.460000001 1
< 0.1%
5905602.899999999 1
< 0.1%
5645582.1 1
< 0.1%
5451735.0 1
< 0.1%
5415255.2700000005 1
< 0.1%
4655582.0 1
< 0.1%
4464578.070000001 1
< 0.1%

생산계획량
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4708
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.02695
Minimum0
Maximum363937.4
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:53.547242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.5
Q16.89
median21.355
Q3100
95-th percentile818.13
Maximum363937.4
Range363937.4
Interquartile range (IQR)93.11

Descriptive statistics

Standard deviation4328.3844
Coefficient of variation (CV)16.582136
Kurtosis5302.5129
Mean261.02695
Median Absolute Deviation (MAD)18.355
Skewness68.432329
Sum2610269.5
Variance18734912
MonotonicityNot monotonic
2023-12-11T12:36:53.686466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 209
 
2.1%
5.0 192
 
1.9%
3.0 186
 
1.9%
20.0 174
 
1.7%
4.0 162
 
1.6%
2.0 160
 
1.6%
15.0 123
 
1.2%
6.0 121
 
1.2%
1.0 110
 
1.1%
30.0 109
 
1.1%
Other values (4698) 8454
84.5%
ValueCountFrequency (%)
0.0 24
0.2%
0.01 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.07 1
 
< 0.1%
0.0999999999999999 2
 
< 0.1%
0.1 4
 
< 0.1%
0.12 1
 
< 0.1%
0.13 1
 
< 0.1%
ValueCountFrequency (%)
363937.4 1
< 0.1%
158591.0 1
< 0.1%
148555.00000000003 1
< 0.1%
40020.0 1
< 0.1%
32108.929999999986 1
< 0.1%
24225.759999999995 1
< 0.1%
16550.0 1
< 0.1%
16000.0 1
< 0.1%
13609.71 1
< 0.1%
13434.180000000004 1
< 0.1%

지정일자
Date

Distinct795
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-06-21 00:00:00
Maximum2023-06-19 00:00:00
2023-12-11T12:36:53.829474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:53.959498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T12:36:47.828571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:45.636811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.109426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.665212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.254074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.946685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:45.723816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.193249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.782464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.378274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:48.075890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:45.828657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.290352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.915265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.493360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:48.191026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:45.928253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.413063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.028859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.605607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:48.303139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.015438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:46.540660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.140239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:47.706212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:36:54.044799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호인증기관개인/단체 구분명등록 농가수등록 필지수재배면적생산계획량
GAP인증번호1.0000.5240.2860.0770.0740.1010.016
인증기관0.5241.0000.5150.1300.1540.1550.047
개인/단체 구분명0.2860.5151.0000.2800.1680.1900.029
등록 농가수0.0770.1300.2801.0000.8310.8250.000
등록 필지수0.0740.1540.1680.8311.0000.9160.000
재배면적0.1010.1550.1900.8250.9161.0000.000
생산계획량0.0160.0470.0290.0000.0000.0001.000
2023-12-11T12:36:54.165917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호등록 농가수등록 필지수재배면적생산계획량개인/단체 구분명
GAP인증번호1.000-0.253-0.246-0.293-0.3030.178
등록 농가수-0.2531.0000.7470.7430.6610.128
등록 필지수-0.2460.7471.0000.8320.6970.114
재배면적-0.2930.7430.8321.0000.7760.122
생산계획량-0.3030.6610.6970.7761.0000.027
개인/단체 구분명0.1780.1280.1140.1220.0271.000

Missing values

2023-12-11T12:36:48.470876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:36:48.662438image/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.
2023-12-11T12:36:48.831813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GAP인증번호인증기관개인/단체 구분명유효기간 시작일유효기간 종료일품목주소등록 농가수등록 필지수재배면적생산계획량지정일자
86691009759㈜비씨에스코리아개인2020-12-222023-12-21인삼충청북도 괴산군112100.01.642020-12-22
96021007580농협경제지주(주)식품R&D연구소단체2022-12-062024-12-05사과충청북도 음성군39122254647.0469.312022-12-06
74871011994아이센(주)개인2023-02-112025-02-10딸기울산광역시 북구144388.013.412023-02-11
105581005392(주)온누리지에이피단체2022-03-042024-03-03포도경상북도 경산시193757580.0112.22022-03-04
83181010425주식회사 농식품인증관리원개인2022-06-072024-06-06딸기경기도 고양시 덕양구111400.04.22022-06-07
112521003691제주대학교 산학협력단개인2022-08-122024-08-11감귤제주특별자치도 서귀포시145555.05.02022-08-12
112921003621주식회사 글로벌농식품인증원개인2023-01-312025-01-30새송이경상북도 김천시13576.0330.02023-01-31
63811013930한국농식품분석연구소 주식회사개인2021-12-042023-12-03한라봉전라남도 순천시123745.05.02021-12-04
8141021023농업회사법인 주식회사 농품개인2022-12-292024-12-28딸기전라북도 무주군123234.09.882022-12-29
3411021530토지글로닉스 주식회사개인2023-05-012025-04-30블루베리전라남도 장성군164126.02.382023-05-01
GAP인증번호인증기관개인/단체 구분명유효기간 시작일유효기간 종료일품목주소등록 농가수등록 필지수재배면적생산계획량지정일자
78531011301친환경농업연구원 주식회사단체2022-10-102024-10-09쌀충청남도 아산시60201532779.9423.632022-10-10
8271021008(주)에코아임친환경기술연구원개인2022-12-292024-12-28연근전라남도 강진군122549.04.02022-12-29
79891011084주식회사 농식품인증관리원개인2022-09-072024-09-06강황경기도 안산시 상록구162570.02.52022-09-07
54811015238친환경농업연구원 주식회사단체2022-08-062024-08-05건고추충청남도 청양군34116162243.041.32022-08-06
53181015530친환경농업연구원 주식회사개인2022-09-102024-09-09메론충청남도 천안시 동남구1510967.014.02022-09-10
5031021364경상국립대학교 산학협력단개인2023-03-202025-03-19토마토경상남도 밀양시11429.030.02023-03-20
109481004262(주)온누리지에이피단체2021-09-242023-09-23떫은감경상북도 청도군245686100.0117.752021-09-24
30971018579사단법인 양평친환경인증센터개인2021-11-292023-11-28딸기경기도 양평군122150.01.22021-11-29
3151021559플럼코트맘 주식회사개인2023-04-222025-04-21포도전라남도 나주시152718.04.582023-04-22
46141016648(주)에이앤에프글로벌인증원단체2023-02-222025-02-21사과경상북도 영양군92459069.0236.42023-02-22