Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells5
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 = 83.46651551)Skewed
GAP인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:36:21.031078
Analysis finished2023-12-11 03:36:25.441618
Duration4.41 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%
Mean1011080.1
Minimum1000003
Maximum1018127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:25.509058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000003
5-th percentile1002592.9
Q11007073.5
median1011820
Q31015193.2
95-th percentile1017540.1
Maximum1018127
Range18124
Interquartile range (IQR)8119.75

Descriptive statistics

Standard deviation4818.2787
Coefficient of variation (CV)0.0047654765
Kurtosis-0.9398408
Mean1011080.1
Median Absolute Deviation (MAD)3810
Skewness-0.42013829
Sum1.0110801 × 1010
Variance23215810
MonotonicityNot monotonic
2023-12-11T12:36:25.662801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1017054 1
 
< 0.1%
1010053 1
 
< 0.1%
1011259 1
 
< 0.1%
1014097 1
 
< 0.1%
1005924 1
 
< 0.1%
1016514 1
 
< 0.1%
1007256 1
 
< 0.1%
1008017 1
 
< 0.1%
1016639 1
 
< 0.1%
1004987 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1000003 1
< 0.1%
1000029 1
< 0.1%
1000031 1
< 0.1%
1000032 1
< 0.1%
1000033 1
< 0.1%
1000034 1
< 0.1%
1000041 1
< 0.1%
1000058 1
< 0.1%
1000061 1
< 0.1%
1000063 1
< 0.1%
ValueCountFrequency (%)
1018127 1
< 0.1%
1018126 1
< 0.1%
1018125 1
< 0.1%
1018124 1
< 0.1%
1018123 1
< 0.1%
1018122 1
< 0.1%
1018121 1
< 0.1%
1018120 1
< 0.1%
1018119 1
< 0.1%
1018118 1
< 0.1%

인증기관
Text

Distinct61
Distinct (%)0.6%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T12:36:25.870388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.43942
Min length6

Characters and Unicode

Total characters114337
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 row주식회사 예농
2nd row(주)에이앤에프글로벌인증원
3rd row한국농식품분석연구소 주식회사
4th row농업회사법인(주)대한농업회
5th row주식회사 농식품인증관리원
ValueCountFrequency (%)
주식회사 3416
22.9%
산학협력단 948
 
6.4%
농식품인증관리원 757
 
5.1%
아이센(주 655
 
4.4%
농업법인플럼코트맘(주 625
 
4.2%
경상국립대학교 540
 
3.6%
친환경농업연구원 443
 
3.0%
주)에버그린농우회 412
 
2.8%
농업회사법인 393
 
2.6%
농품 393
 
2.6%
Other values (58) 6321
42.4%
2023-12-11T12:36:26.154490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8001
 
7.0%
농 5448
 
4.8%
식 5093
 
4.5%
인 4917
 
4.3%
4908
 
4.3%
) 4852
 
4.2%
( 4852
 
4.2%
회 4839
 
4.2%
사 4328
 
3.8%
증 3259
 
2.9%
Other values (128) 63840
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98273
86.0%
Space Separator 4908
 
4.3%
Close Punctuation 4852
 
4.2%
Open Punctuation 4852
 
4.2%
Uppercase Letter 694
 
0.6%
Other Symbol 411
 
0.4%
Other Punctuation 347
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8001
 
8.1%
농 5448
 
5.5%
식 5093
 
5.2%
인 4917
 
5.0%
회 4839
 
4.9%
사 4328
 
4.4%
증 3259
 
3.3%
원 3160
 
3.2%
업 2467
 
2.5%
산 2297
 
2.3%
Other values (120) 54464
55.4%
Uppercase Letter
ValueCountFrequency (%)
D 347
50.0%
R 347
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 337
82.0%
㈔ 74
 
18.0%
Space Separator
ValueCountFrequency (%)
4908
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4852
100.0%
Other Punctuation
ValueCountFrequency (%)
& 347
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98684
86.3%
Common 14959
 
13.1%
Latin 694
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8001
 
8.1%
농 5448
 
5.5%
식 5093
 
5.2%
인 4917
 
5.0%
회 4839
 
4.9%
사 4328
 
4.4%
증 3259
 
3.3%
원 3160
 
3.2%
업 2467
 
2.5%
산 2297
 
2.3%
Other values (122) 54875
55.6%
Common
ValueCountFrequency (%)
4908
32.8%
) 4852
32.4%
( 4852
32.4%
& 347
 
2.3%
Latin
ValueCountFrequency (%)
D 347
50.0%
R 347
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98273
86.0%
ASCII 15653
 
13.7%
None 411
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8001
 
8.1%
농 5448
 
5.5%
식 5093
 
5.2%
인 4917
 
5.0%
회 4839
 
4.9%
사 4328
 
4.4%
증 3259
 
3.3%
원 3160
 
3.2%
업 2467
 
2.5%
산 2297
 
2.3%
Other values (120) 54464
55.4%
ASCII
ValueCountFrequency (%)
4908
31.4%
) 4852
31.0%
( 4852
31.0%
D 347
 
2.2%
& 347
 
2.2%
R 347
 
2.2%
None
ValueCountFrequency (%)
㈜ 337
82.0%
㈔ 74
 
18.0%

개인_단체 구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인
6793 
단체
2640 
법인
 
567

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 6793
67.9%
단체 2640
 
26.4%
법인 567
 
5.7%

Length

2023-12-11T12:36:26.263533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:36:26.341451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 6793
67.9%
단체 2640
 
26.4%
법인 567
 
5.7%

유효기간 시작일
Date

Distinct777
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-12-19 00:00:00
Maximum2021-09-30 00:00:00
2023-12-11T12:36:26.430648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:26.550061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct799
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-30 00:00:00
Maximum2024-09-29 00:00:00
2023-12-11T12:36:26.686834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:27.130437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

품목
Text

Distinct360
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:27.475579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length2
Mean length2.511
Min length1

Characters and Unicode

Total characters25110
Distinct characters280
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

Unique128 ?
Unique (%)1.3%

Sample

1st row고추
2nd row딸기
3rd row양상추
4th row딸기
5th row딸기
ValueCountFrequency (%)
딸기 1077
 
10.8%
사과 1020
 
10.2%
포도 640
 
6.4%
배 490
 
4.9%
인삼 370
 
3.7%
복숭아 333
 
3.3%
토마토 310
 
3.1%
단감 305
 
3.0%
대추 257
 
2.6%
블루베리 247
 
2.5%
Other values (349) 4958
49.5%
2023-12-11T12:36:28.036609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1264
 
5.0%
딸 1148
 
4.6%
토 1133
 
4.5%
과 1065
 
4.2%
사 1047
 
4.2%
추 918
 
3.7%
마 723
 
2.9%
감 720
 
2.9%
도 661
 
2.6%
포 648
 
2.6%
Other values (270) 15783
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24498
97.6%
Open Punctuation 291
 
1.2%
Close Punctuation 289
 
1.2%
Other Punctuation 23
 
0.1%
Space Separator 7
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1264
 
5.2%
딸 1148
 
4.7%
토 1133
 
4.6%
과 1065
 
4.3%
사 1047
 
4.3%
추 918
 
3.7%
마 723
 
3.0%
감 720
 
2.9%
도 661
 
2.7%
포 648
 
2.6%
Other values (265) 15171
61.9%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
6 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24498
97.6%
Common 612
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1264
 
5.2%
딸 1148
 
4.7%
토 1133
 
4.6%
과 1065
 
4.3%
사 1047
 
4.3%
추 918
 
3.7%
마 723
 
3.0%
감 720
 
2.9%
도 661
 
2.7%
포 648
 
2.6%
Other values (265) 15171
61.9%
Common
ValueCountFrequency (%)
( 291
47.5%
) 289
47.2%
, 23
 
3.8%
7
 
1.1%
6 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24498
97.6%
ASCII 612
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1264
 
5.2%
딸 1148
 
4.7%
토 1133
 
4.6%
과 1065
 
4.3%
사 1047
 
4.3%
추 918
 
3.7%
마 723
 
3.0%
감 720
 
2.9%
도 661
 
2.7%
포 648
 
2.6%
Other values (265) 15171
61.9%
ASCII
ValueCountFrequency (%)
( 291
47.5%
) 289
47.2%
, 23
 
3.8%
7
 
1.1%
6 2
 
0.3%

주소
Text

Distinct213
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:28.487326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.2706
Min length7

Characters and Unicode

Total characters82706
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

Unique22 ?
Unique (%)0.2%

Sample

1st row경상남도 진주시
2nd row세종특별자치시
3rd row전라남도 광양시
4th row충청남도 논산시
5th row전라남도 강진군
ValueCountFrequency (%)
경상남도 1739
 
8.4%
경상북도 1610
 
7.8%
전라남도 1241
 
6.0%
충청남도 1216
 
5.9%
경기도 1209
 
5.8%
전라북도 934
 
4.5%
충청북도 892
 
4.3%
강원도 462
 
2.2%
금산군 383
 
1.8%
나주시 295
 
1.4%
Other values (215) 10723
51.8%
2023-12-11T12:36:28.952764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10766
 
13.0%
도 9715
 
11.7%
시 5611
 
6.8%
경 4852
 
5.9%
군 4561
 
5.5%
남 4453
 
5.4%
북 3606
 
4.4%
상 3515
 
4.2%
청 2622
 
3.2%
전 2325
 
2.8%
Other values (131) 30680
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71940
87.0%
Space Separator 10766
 
13.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9715
 
13.5%
시 5611
 
7.8%
경 4852
 
6.7%
군 4561
 
6.3%
남 4453
 
6.2%
북 3606
 
5.0%
상 3515
 
4.9%
청 2622
 
3.6%
전 2325
 
3.2%
주 2303
 
3.2%
Other values (130) 28377
39.4%
Space Separator
ValueCountFrequency (%)
10766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71940
87.0%
Common 10766
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9715
 
13.5%
시 5611
 
7.8%
경 4852
 
6.7%
군 4561
 
6.3%
남 4453
 
6.2%
북 3606
 
5.0%
상 3515
 
4.9%
청 2622
 
3.6%
전 2325
 
3.2%
주 2303
 
3.2%
Other values (130) 28377
39.4%
Common
ValueCountFrequency (%)
10766
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71940
87.0%
ASCII 10766
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10766
100.0%
Hangul
ValueCountFrequency (%)
도 9715
 
13.5%
시 5611
 
7.8%
경 4852
 
6.7%
군 4561
 
6.3%
남 4453
 
6.2%
북 3606
 
5.0%
상 3515
 
4.9%
청 2622
 
3.6%
전 2325
 
3.2%
주 2303
 
3.2%
Other values (130) 28377
39.4%

등록 농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct221
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.449
Minimum1
Maximum1090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:29.091631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile45
Maximum1090
Range1089
Interquartile range (IQR)4

Descriptive statistics

Standard deviation39.927925
Coefficient of variation (CV)3.8212198
Kurtosis241.3055
Mean10.449
Median Absolute Deviation (MAD)0
Skewness12.832039
Sum104490
Variance1594.2392
MonotonicityNot monotonic
2023-12-11T12:36:29.221579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7130
71.3%
2 142
 
1.4%
6 119
 
1.2%
9 117
 
1.2%
5 112
 
1.1%
7 111
 
1.1%
8 105
 
1.1%
12 103
 
1.0%
10 103
 
1.0%
11 101
 
1.0%
Other values (211) 1857
 
18.6%
ValueCountFrequency (%)
1 7130
71.3%
2 142
 
1.4%
3 93
 
0.9%
4 93
 
0.9%
5 112
 
1.1%
6 119
 
1.2%
7 111
 
1.1%
8 105
 
1.1%
9 117
 
1.2%
10 103
 
1.0%
ValueCountFrequency (%)
1090 1
< 0.1%
1046 1
< 0.1%
971 1
< 0.1%
920 1
< 0.1%
822 1
< 0.1%
793 1
< 0.1%
649 1
< 0.1%
638 1
< 0.1%
603 1
< 0.1%
554 1
< 0.1%

등록 필지수
Real number (ℝ)

HIGH CORRELATION 

Distinct548
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.9788
Minimum1
Maximum9709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:29.346205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q325
95-th percentile201.05
Maximum9709
Range9708
Interquartile range (IQR)23

Descriptive statistics

Standard deviation239.59567
Coefficient of variation (CV)4.6094883
Kurtosis544.78877
Mean51.9788
Median Absolute Deviation (MAD)5
Skewness18.387177
Sum519788
Variance57406.085
MonotonicityNot monotonic
2023-12-11T12:36:29.467512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1392
 
13.9%
2 1360
 
13.6%
3 936
 
9.4%
4 788
 
7.9%
5 501
 
5.0%
6 426
 
4.3%
7 287
 
2.9%
8 259
 
2.6%
9 234
 
2.3%
10 179
 
1.8%
Other values (538) 3638
36.4%
ValueCountFrequency (%)
1 1392
13.9%
2 1360
13.6%
3 936
9.4%
4 788
7.9%
5 501
 
5.0%
6 426
 
4.3%
7 287
 
2.9%
8 259
 
2.6%
9 234
 
2.3%
10 179
 
1.8%
ValueCountFrequency (%)
9709 1
< 0.1%
9055 1
< 0.1%
4480 1
< 0.1%
4378 1
< 0.1%
4192 1
< 0.1%
4022 1
< 0.1%
3855 1
< 0.1%
3685 1
< 0.1%
3573 1
< 0.1%
3131 1
< 0.1%

재배면적
Real number (ℝ)

HIGH CORRELATION 

Distinct8142
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114487.88
Minimum3
Maximum18539130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:29.585729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1473.8
Q14312.95
median10406.5
Q347761.25
95-th percentile444647.55
Maximum18539130
Range18539127
Interquartile range (IQR)43448.3

Descriptive statistics

Standard deviation544552.71
Coefficient of variation (CV)4.7564221
Kurtosis354.46588
Mean114487.88
Median Absolute Deviation (MAD)7836.5
Skewness15.508387
Sum1.1448788 × 109
Variance2.9653765 × 1011
MonotonicityNot monotonic
2023-12-11T12:36:29.713999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3300.0 46
 
0.5%
2000.0 40
 
0.4%
3000.0 38
 
0.4%
1980.0 36
 
0.4%
3960.0 27
 
0.3%
1000.0 24
 
0.2%
660.0 24
 
0.2%
1500.0 20
 
0.2%
4950.0 19
 
0.2%
6600.0 18
 
0.2%
Other values (8132) 9708
97.1%
ValueCountFrequency (%)
3.0 1
< 0.1%
25.0 1
< 0.1%
37.8 1
< 0.1%
40.0 1
< 0.1%
69.0 1
< 0.1%
82.9 1
< 0.1%
86.4 1
< 0.1%
91.0 1
< 0.1%
100.0 1
< 0.1%
106.0 1
< 0.1%
ValueCountFrequency (%)
18539129.78 1
< 0.1%
16919263.0 1
< 0.1%
13035347.0 1
< 0.1%
12978464.0 1
< 0.1%
9545782.64 1
< 0.1%
9439010.0 1
< 0.1%
9272071.0 1
< 0.1%
8478214.0 1
< 0.1%
8135550.7 1
< 0.1%
7698951.9 1
< 0.1%

생산계획량
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4494
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.64872
Minimum0
Maximum322067
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:29.845015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18.685
median27.76
Q3126.625
95-th percentile1002.99
Maximum322067
Range322067
Interquartile range (IQR)117.94

Descriptive statistics

Standard deviation3436.1387
Coefficient of variation (CV)12.602805
Kurtosis7717.0226
Mean272.64872
Median Absolute Deviation (MAD)23.76
Skewness83.466516
Sum2726487.2
Variance11807049
MonotonicityNot monotonic
2023-12-11T12:36:29.988608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 210
 
2.1%
3.0 196
 
2.0%
5.0 191
 
1.9%
20.0 180
 
1.8%
6.0 155
 
1.6%
15.0 154
 
1.5%
2.0 152
 
1.5%
4.0 147
 
1.5%
8.0 114
 
1.1%
30.0 111
 
1.1%
Other values (4484) 8390
83.9%
ValueCountFrequency (%)
0.0 11
0.1%
0.01 2
 
< 0.1%
0.02 2
 
< 0.1%
0.04 1
 
< 0.1%
0.05 3
 
< 0.1%
0.07 1
 
< 0.1%
0.1 8
0.1%
0.14 1
 
< 0.1%
0.15 1
 
< 0.1%
0.16 1
 
< 0.1%
ValueCountFrequency (%)
322067.0 1
< 0.1%
72917.0 1
< 0.1%
40020.0 1
< 0.1%
26021.28 1
< 0.1%
20791.37 1
< 0.1%
19913.342 1
< 0.1%
18200.0 1
< 0.1%
16921.89744 1
< 0.1%
15944.39 1
< 0.1%
15470.3 1
< 0.1%

지정일자
Date

Distinct771
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-10-06 00:00:00
Maximum2021-09-30 00:00:00
2023-12-11T12:36:30.146666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:30.284058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T12:36:24.631010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.225633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.860524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.512042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.061021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.760556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.359114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.998249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.645944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.168170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.857790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.469190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.134609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.751328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.275142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.942811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.605688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.249409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.841775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.387192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:25.062543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:22.733699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.386364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:23.951613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:24.515169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:36:30.400174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호인증기관개인_단체 구분명등록 농가수등록 필지수재배면적생산계획량
GAP인증번호1.0000.5400.2750.0840.0840.0980.011
인증기관0.5401.0000.5210.2060.2180.2370.404
개인_단체 구분명0.2750.5211.0000.2930.2270.1670.028
등록 농가수0.0840.2060.2931.0000.8060.7630.000
등록 필지수0.0840.2180.2270.8061.0000.9090.000
재배면적0.0980.2370.1670.7630.9091.0000.000
생산계획량0.0110.4040.0280.0000.0000.0001.000
2023-12-11T12:36:30.550079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호등록 농가수등록 필지수재배면적생산계획량개인_단체 구분명
GAP인증번호1.000-0.222-0.206-0.253-0.2500.171
등록 농가수-0.2221.0000.7460.7380.6590.134
등록 필지수-0.2060.7461.0000.8660.7090.096
재배면적-0.2530.7380.8661.0000.7750.107
생산계획량-0.2500.6590.7090.7751.0000.026
개인_단체 구분명0.1710.1340.0960.1070.0261.000

Missing values

2023-12-11T12:36:25.197508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:36:25.365620image/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

GAP인증번호인증기관개인_단체 구분명유효기간 시작일유효기간 종료일품목주소등록 농가수등록 필지수재배면적생산계획량지정일자
10271017054주식회사 예농개인2021-05-062023-05-05고추경상남도 진주시112886.020.02021-05-06
81821007178(주)에이앤에프글로벌인증원개인2020-10-282022-10-27딸기세종특별자치시114605.015.02020-10-28
48981012657한국농식품분석연구소 주식회사개인2021-06-122023-06-11양상추전라남도 광양시1738000.03390.02021-06-12
39671013961농업회사법인(주)대한농업회개인2019-12-092021-12-08딸기충청남도 논산시137919.02.52019-12-09
78981007909주식회사 농식품인증관리원단체2021-01-182023-01-17딸기전라남도 강진군183677113.0249.272021-01-18
27641015198(주)우리농인증원개인2020-07-282022-07-27사과경상남도 거창군1918254.036.22020-07-28
90041005685(주)에버그린농우회개인2020-05-042022-05-03사과경상북도 포항시 북구168737.017.32020-05-04
1721017951건국에코인증원 주식회사개인2021-09-092023-09-08고구마충청북도 충주시133893.06.42021-09-09
59161011268(주)아이에스씨농업발전연구소개인2020-10-022022-10-01벼전라북도 익산시1733554.320.22020-10-02
79011007904(재)하동녹차연구소인증센터개인2021-01-172023-01-16오디경상남도 하동군122732.04.22021-01-17
GAP인증번호인증기관개인_단체 구분명유효기간 시작일유효기간 종료일품목주소등록 농가수등록 필지수재배면적생산계획량지정일자
25941015416주식회사 글로벌농식품인증원단체2020-08-242022-08-23포도경상북도 영천시32123900.040.72020-08-24
42451013668농업회사법인(주)푸른솔법인2019-10-242021-10-23사과경상북도 영주시2159156373.0359.72019-10-24
12251016813아이센(주)개인2021-04-022023-04-01산딸기부산광역시 북구146612.040.092021-04-02
2931017827(주)한국유기농인증원개인2021-08-242023-08-23사과경기도 화성시1611471.020.02021-08-24
69851009652친환경농업연구원 주식회사단체2019-12-072021-12-06애기사과충청남도 청양군71115570.017.522019-12-07
58981011290주식회사 성농단체2018-10-082021-10-07인삼전라북도 진안군75869010.062.42018-10-08
69981009629(재)금산인삼약초산업진흥원개인2020-12-022023-12-01인삼충청남도 금산군1611483.06.532020-12-02
59291011253주식회사 농식품인증관리원단체2020-09-282022-09-27벼경기도 고양시 일산동구2282206906.0158.662020-09-28
105631002186주식회사 글로벌농식품인증원단체2020-08-072022-08-06사과경상북도 구미시63151425.095.792020-08-07
94891004629농업회사법인 주식회사 농품개인2019-11-182021-11-17딸기전라북도 익산시112820.08.62019-11-18