Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
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 = 85.0041014)Skewed
GAP인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:36:32.344571
Analysis finished2023-12-11 03:36:37.254814
Duration4.91 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%
Mean1012073.9
Minimum1000003
Maximum1019688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:37.328152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000003
5-th percentile1002691.9
Q11007917.5
median1012907
Q31016621.2
95-th percentile1019078.1
Maximum1019688
Range19685
Interquartile range (IQR)8703.75

Descriptive statistics

Standard deviation5283.3094
Coefficient of variation (CV)0.00522028
Kurtosis-0.94005122
Mean1012073.9
Median Absolute Deviation (MAD)4136.5
Skewness-0.43644113
Sum1.0120739 × 1010
Variance27913358
MonotonicityNot monotonic
2023-12-11T12:36:37.473635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003848 1
 
< 0.1%
1018741 1
 
< 0.1%
1019281 1
 
< 0.1%
1011475 1
 
< 0.1%
1015707 1
 
< 0.1%
1010816 1
 
< 0.1%
1017102 1
 
< 0.1%
1018138 1
 
< 0.1%
1014252 1
 
< 0.1%
1018619 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%
1000041 1
< 0.1%
1000058 1
< 0.1%
1000061 1
< 0.1%
ValueCountFrequency (%)
1019688 1
< 0.1%
1019686 1
< 0.1%
1019685 1
< 0.1%
1019684 1
< 0.1%
1019682 1
< 0.1%
1019678 1
< 0.1%
1019677 1
< 0.1%
1019675 1
< 0.1%
1019674 1
< 0.1%
1019672 1
< 0.1%

인증기관
Text

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:37.716549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.4636
Min length6

Characters and Unicode

Total characters114636
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 row주식회사 예농
3rd row주식회사 푸름인증원
4th row농협경제지주(주)식품R&D연구소
5th row농업법인플럼코트맘(주)
ValueCountFrequency (%)
주식회사 3463
23.2%
산학협력단 878
 
5.9%
농식품인증관리원 850
 
5.7%
아이센(주 706
 
4.7%
농업법인플럼코트맘(주 638
 
4.3%
경상국립대학교 538
 
3.6%
주)에버그린농우회 393
 
2.6%
친환경농업연구원 389
 
2.6%
농품 381
 
2.6%
농업회사법인 381
 
2.6%
Other values (58) 6292
42.2%
2023-12-11T12:36:38.075209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8125
 
7.1%
농 5529
 
4.8%
식 5220
 
4.6%
인 5192
 
4.5%
( 4943
 
4.3%
) 4943
 
4.3%
4909
 
4.3%
회 4837
 
4.2%
사 4376
 
3.8%
증 3602
 
3.1%
Other values (128) 62960
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98524
85.9%
Open Punctuation 4943
 
4.3%
Close Punctuation 4943
 
4.3%
Space Separator 4909
 
4.3%
Uppercase Letter 638
 
0.6%
Other Symbol 360
 
0.3%
Other Punctuation 319
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8125
 
8.2%
농 5529
 
5.6%
식 5220
 
5.3%
인 5192
 
5.3%
회 4837
 
4.9%
사 4376
 
4.4%
증 3602
 
3.7%
원 3299
 
3.3%
업 2439
 
2.5%
품 2305
 
2.3%
Other values (120) 53600
54.4%
Uppercase Letter
ValueCountFrequency (%)
D 319
50.0%
R 319
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 296
82.2%
㈔ 64
 
17.8%
Open Punctuation
ValueCountFrequency (%)
( 4943
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4943
100.0%
Space Separator
ValueCountFrequency (%)
4909
100.0%
Other Punctuation
ValueCountFrequency (%)
& 319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98884
86.3%
Common 15114
 
13.2%
Latin 638
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8125
 
8.2%
농 5529
 
5.6%
식 5220
 
5.3%
인 5192
 
5.3%
회 4837
 
4.9%
사 4376
 
4.4%
증 3602
 
3.6%
원 3299
 
3.3%
업 2439
 
2.5%
품 2305
 
2.3%
Other values (122) 53960
54.6%
Common
ValueCountFrequency (%)
( 4943
32.7%
) 4943
32.7%
4909
32.5%
& 319
 
2.1%
Latin
ValueCountFrequency (%)
D 319
50.0%
R 319
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98524
85.9%
ASCII 15752
 
13.7%
None 360
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8125
 
8.2%
농 5529
 
5.6%
식 5220
 
5.3%
인 5192
 
5.3%
회 4837
 
4.9%
사 4376
 
4.4%
증 3602
 
3.7%
원 3299
 
3.3%
업 2439
 
2.5%
품 2305
 
2.3%
Other values (120) 53600
54.4%
ASCII
ValueCountFrequency (%)
( 4943
31.4%
) 4943
31.4%
4909
31.2%
D 319
 
2.0%
& 319
 
2.0%
R 319
 
2.0%
None
ValueCountFrequency (%)
㈜ 296
82.2%
㈔ 64
 
17.8%

개인/단체 구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인
6791 
단체
2602 
법인
 
607

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 6791
67.9%
단체 2602
 
26.0%
법인 607
 
6.1%

Length

2023-12-11T12:36:38.255196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:36:38.380340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 6791
67.9%
단체 2602
 
26.0%
법인 607
 
6.1%

유효기간 시작일
Date

Distinct787
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-17 00:00:00
Maximum2022-06-15 00:00:00
2023-12-11T12:36:38.527464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:38.698355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효기간 종료일
Date

Distinct784
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-06-15 00:00:00
Maximum2025-06-12 00:00:00
2023-12-11T12:36:38.857524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:39.009919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

품목
Text

Distinct364
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:39.380965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length2
Mean length2.529
Min length1

Characters and Unicode

Total characters25290
Distinct characters283
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)1.2%

Sample

1st row비타민
2nd row단감
3rd row자두
4th row벼
5th row새송이
ValueCountFrequency (%)
사과 1034
 
10.3%
딸기 1023
 
10.2%
포도 678
 
6.8%
배 479
 
4.8%
토마토 342
 
3.4%
복숭아 334
 
3.3%
단감 311
 
3.1%
블루베리 272
 
2.7%
인삼 239
 
2.4%
대추 237
 
2.4%
Other values (352) 5074
50.6%
2023-12-11T12:36:39.970539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1207
 
4.8%
토 1191
 
4.7%
딸 1086
 
4.3%
과 1078
 
4.3%
사 1063
 
4.2%
추 986
 
3.9%
마 798
 
3.2%
도 699
 
2.8%
감 690
 
2.7%
포 687
 
2.7%
Other values (273) 15805
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24721
97.8%
Close Punctuation 268
 
1.1%
Open Punctuation 268
 
1.1%
Space Separator 27
 
0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1207
 
4.9%
토 1191
 
4.8%
딸 1086
 
4.4%
과 1078
 
4.4%
사 1063
 
4.3%
추 986
 
4.0%
마 798
 
3.2%
도 699
 
2.8%
감 690
 
2.8%
포 687
 
2.8%
Other values (267) 15236
61.6%
Decimal Number
ValueCountFrequency (%)
6 4
66.7%
4 1
 
16.7%
5 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 268
100.0%
Open Punctuation
ValueCountFrequency (%)
( 268
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24721
97.8%
Common 569
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1207
 
4.9%
토 1191
 
4.8%
딸 1086
 
4.4%
과 1078
 
4.4%
사 1063
 
4.3%
추 986
 
4.0%
마 798
 
3.2%
도 699
 
2.8%
감 690
 
2.8%
포 687
 
2.8%
Other values (267) 15236
61.6%
Common
ValueCountFrequency (%)
) 268
47.1%
( 268
47.1%
27
 
4.7%
6 4
 
0.7%
4 1
 
0.2%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24721
97.8%
ASCII 569
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1207
 
4.9%
토 1191
 
4.8%
딸 1086
 
4.4%
과 1078
 
4.4%
사 1063
 
4.3%
추 986
 
4.0%
마 798
 
3.2%
도 699
 
2.8%
감 690
 
2.8%
포 687
 
2.8%
Other values (267) 15236
61.6%
ASCII
ValueCountFrequency (%)
) 268
47.1%
( 268
47.1%
27
 
4.7%
6 4
 
0.7%
4 1
 
0.2%
5 1
 
0.2%

주소
Text

Distinct218
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T12:36:40.342710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.2505
Min length7

Characters and Unicode

Total characters82505
Distinct characters143
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 row강원도 횡성군
2nd row경상남도 창원시 의창구
3rd row경상북도 안동시
4th row전라북도 완주군
5th row전라남도 강진군
ValueCountFrequency (%)
경상남도 1809
 
8.8%
경상북도 1653
 
8.0%
경기도 1214
 
5.9%
전라남도 1207
 
5.9%
충청남도 1124
 
5.5%
전라북도 930
 
4.5%
충청북도 873
 
4.2%
강원도 445
 
2.2%
금산군 338
 
1.6%
나주시 314
 
1.5%
Other values (220) 10702
51.9%
2023-12-11T12:36:40.885741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10716
 
13.0%
도 9651
 
11.7%
시 5776
 
7.0%
경 5011
 
6.1%
군 4402
 
5.3%
남 4395
 
5.3%
상 3630
 
4.4%
북 3592
 
4.4%
청 2498
 
3.0%
주 2306
 
2.8%
Other values (133) 30528
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71789
87.0%
Space Separator 10716
 
13.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9651
 
13.4%
시 5776
 
8.0%
경 5011
 
7.0%
군 4402
 
6.1%
남 4395
 
6.1%
상 3630
 
5.1%
북 3592
 
5.0%
청 2498
 
3.5%
주 2306
 
3.2%
전 2287
 
3.2%
Other values (132) 28241
39.3%
Space Separator
ValueCountFrequency (%)
10716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71789
87.0%
Common 10716
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9651
 
13.4%
시 5776
 
8.0%
경 5011
 
7.0%
군 4402
 
6.1%
남 4395
 
6.1%
상 3630
 
5.1%
북 3592
 
5.0%
청 2498
 
3.5%
주 2306
 
3.2%
전 2287
 
3.2%
Other values (132) 28241
39.3%
Common
ValueCountFrequency (%)
10716
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71789
87.0%
ASCII 10716
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10716
100.0%
Hangul
ValueCountFrequency (%)
도 9651
 
13.4%
시 5776
 
8.0%
경 5011
 
7.0%
군 4402
 
6.1%
남 4395
 
6.1%
상 3630
 
5.1%
북 3592
 
5.0%
청 2498
 
3.5%
주 2306
 
3.2%
전 2287
 
3.2%
Other values (132) 28241
39.3%

등록 농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0524
Minimum1
Maximum1201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:41.039379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile43
Maximum1201
Range1200
Interquartile range (IQR)3

Descriptive statistics

Standard deviation37.833009
Coefficient of variation (CV)3.7635798
Kurtosis256.3327
Mean10.0524
Median Absolute Deviation (MAD)0
Skewness12.792258
Sum100524
Variance1431.3366
MonotonicityNot monotonic
2023-12-11T12:36:41.188633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7159
71.6%
2 162
 
1.6%
6 123
 
1.2%
10 116
 
1.2%
5 116
 
1.2%
8 111
 
1.1%
9 110
 
1.1%
12 105
 
1.1%
3 97
 
1.0%
11 93
 
0.9%
Other values (205) 1808
 
18.1%
ValueCountFrequency (%)
1 7159
71.6%
2 162
 
1.6%
3 97
 
1.0%
4 91
 
0.9%
5 116
 
1.2%
6 123
 
1.2%
7 90
 
0.9%
8 111
 
1.1%
9 110
 
1.1%
10 116
 
1.2%
ValueCountFrequency (%)
1201 1
< 0.1%
1006 1
< 0.1%
900 1
< 0.1%
806 1
< 0.1%
721 1
< 0.1%
603 1
< 0.1%
552 1
< 0.1%
523 1
< 0.1%
522 1
< 0.1%
516 1
< 0.1%

등록 필지수
Real number (ℝ)

HIGH CORRELATION 

Distinct546
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.7305
Minimum1
Maximum4874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:41.337957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q325
95-th percentile202
Maximum4874
Range4873
Interquartile range (IQR)23

Descriptive statistics

Standard deviation193.12898
Coefficient of variation (CV)3.8835116
Kurtosis161.50795
Mean49.7305
Median Absolute Deviation (MAD)4
Skewness10.774811
Sum497305
Variance37298.801
MonotonicityNot monotonic
2023-12-11T12:36:41.467142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1385
 
13.9%
1 1369
 
13.7%
3 909
 
9.1%
4 774
 
7.7%
5 515
 
5.1%
6 408
 
4.1%
7 294
 
2.9%
8 281
 
2.8%
9 245
 
2.5%
10 194
 
1.9%
Other values (536) 3626
36.3%
ValueCountFrequency (%)
1 1369
13.7%
2 1385
13.9%
3 909
9.1%
4 774
7.7%
5 515
 
5.1%
6 408
 
4.1%
7 294
 
2.9%
8 281
 
2.8%
9 245
 
2.5%
10 194
 
1.9%
ValueCountFrequency (%)
4874 1
< 0.1%
4455 1
< 0.1%
3636 1
< 0.1%
3393 1
< 0.1%
3133 1
< 0.1%
3031 1
< 0.1%
2954 1
< 0.1%
2952 1
< 0.1%
2946 1
< 0.1%
2841 1
< 0.1%

재배면적
Real number (ℝ)

HIGH CORRELATION 

Distinct8176
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108950.56
Minimum3
Maximum9766317.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:41.592758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1320
Q14085.75
median10100.5
Q345477.7
95-th percentile442763.37
Maximum9766317.6
Range9766314.6
Interquartile range (IQR)41391.95

Descriptive statistics

Standard deviation456219.13
Coefficient of variation (CV)4.187396
Kurtosis157.97506
Mean108950.56
Median Absolute Deviation (MAD)7674.85
Skewness10.946841
Sum1.0895056 × 109
Variance2.0813589 × 1011
MonotonicityNot monotonic
2023-12-11T12:36:41.718903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3300.0 49
 
0.5%
2000.0 38
 
0.4%
3000.0 33
 
0.3%
1000.0 31
 
0.3%
1980.0 31
 
0.3%
660.0 28
 
0.3%
3960.0 23
 
0.2%
1500.0 17
 
0.2%
6600.0 17
 
0.2%
1650.0 17
 
0.2%
Other values (8166) 9716
97.2%
ValueCountFrequency (%)
3.0 1
< 0.1%
24.3 1
< 0.1%
25.0 1
< 0.1%
30.0 1
< 0.1%
37.8 1
< 0.1%
53.0 1
< 0.1%
75.9 1
< 0.1%
82.9 1
< 0.1%
86.4 2
< 0.1%
90.0 1
< 0.1%
ValueCountFrequency (%)
9766317.6 1
< 0.1%
9424001.0 1
< 0.1%
9272071.0 1
< 0.1%
8622984.7 1
< 0.1%
8547253.0 1
< 0.1%
8478214.0 1
< 0.1%
7873507.0 1
< 0.1%
7604708.8 1
< 0.1%
7044803.3 1
< 0.1%
6318872.17 1
< 0.1%

생산계획량
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4521
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271.94751
Minimum0
Maximum322067
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:36:41.840159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median27.65
Q3126.85
95-th percentile987.954
Maximum322067
Range322067
Interquartile range (IQR)117.85

Descriptive statistics

Standard deviation3406.5655
Coefficient of variation (CV)12.526555
Kurtosis7971.5118
Mean271.94751
Median Absolute Deviation (MAD)23.65
Skewness85.004101
Sum2719475.1
Variance11604689
MonotonicityNot monotonic
2023-12-11T12:36:41.969314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 198
 
2.0%
3.0 198
 
2.0%
5.0 177
 
1.8%
20.0 170
 
1.7%
2.0 150
 
1.5%
15.0 139
 
1.4%
4.0 139
 
1.4%
6.0 134
 
1.3%
30.0 123
 
1.2%
8.0 104
 
1.0%
Other values (4511) 8468
84.7%
ValueCountFrequency (%)
0.0 14
0.1%
0.01 1
 
< 0.1%
0.02 2
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.07 2
 
< 0.1%
0.1 8
0.1%
0.13 2
 
< 0.1%
0.15 2
 
< 0.1%
0.16 2
 
< 0.1%
ValueCountFrequency (%)
322067.0 1
< 0.1%
40020.0 1
< 0.1%
40000.0 1
< 0.1%
38015.0 1
< 0.1%
26021.28 1
< 0.1%
25144.0 1
< 0.1%
19880.262 1
< 0.1%
17251.7 1
< 0.1%
16936.40168 1
< 0.1%
16550.0 1
< 0.1%

지정일자
Date

Distinct783
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-06-27 00:00:00
Maximum2022-06-15 00:00:00
2023-12-11T12:36:42.111008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:42.230931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T12:36:36.309253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:33.539443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.225774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.835294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.374735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:36.457810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:33.672147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.354343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.958339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.497507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:36.570633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:33.828972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.475409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.060914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.606835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:36.682037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:33.958555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.596408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.155988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.724123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:36.805442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.084560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:34.716286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.262407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:36:35.843184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:36:42.592839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호인증기관개인/단체 구분명등록 농가수등록 필지수재배면적생산계획량
GAP인증번호1.0000.5040.2900.1010.0860.1400.023
인증기관0.5041.0000.5110.1200.1610.1580.000
개인/단체 구분명0.2900.5111.0000.2150.3270.2520.086
등록 농가수0.1010.1200.2151.0000.8700.8930.000
등록 필지수0.0860.1610.3270.8701.0000.8820.000
재배면적0.1400.1580.2520.8930.8821.0000.000
생산계획량0.0230.0000.0860.0000.0000.0001.000
2023-12-11T12:36:42.684921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GAP인증번호등록 농가수등록 필지수재배면적생산계획량개인/단체 구분명
GAP인증번호1.000-0.258-0.233-0.304-0.2830.181
등록 농가수-0.2581.0000.7370.7330.6560.130
등록 필지수-0.2330.7371.0000.8550.7030.152
재배면적-0.3040.7330.8551.0000.7770.155
생산계획량-0.2830.6560.7030.7771.0000.025
개인/단체 구분명0.1810.1300.1520.1550.0251.000

Missing values

2023-12-11T12:36:36.960904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:36:37.173457image/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
105521003848㈜비씨에스코리아법인2021-08-182023-08-17비타민강원도 횡성군1716146.01.292021-08-18
70061011137주식회사 예농개인2020-09-172022-09-16단감경상남도 창원시 의창구148152.020.02020-09-17
25081017034주식회사 푸름인증원개인2021-05-042023-05-03자두경상북도 안동시135559.014.92021-05-04
113251001611농협경제지주(주)식품R&D연구소단체2021-10-082023-10-07벼전라북도 완주군67340558589.0403.822021-10-08
105551003845농업법인플럼코트맘(주)개인2021-08-182023-08-17새송이전라남도 강진군11560.061.22021-08-18
211019658(주)우리농인증원단체2022-06-132024-06-12양파경상남도 함양군41384704372.05117.42022-06-13
68591011323아이센(주)단체2020-10-132022-10-12사과경상북도 영천시62030922.056.992020-10-13
73421010597사단법인 양평친환경인증센터개인2022-06-082024-06-07감자경기도 양평군162564.02.52022-06-08
49601014241경상국립대학교 산학협력단단체2022-02-242024-02-23피망경상남도 진주시2612571.0125.02022-02-24
71701010866강원대학교 산학협력단개인2020-08-132022-08-12수박강원도 양구군1722563.072.52020-08-13
GAP인증번호인증기관개인/단체 구분명유효기간 시작일유효기간 종료일품목주소등록 농가수등록 필지수재배면적생산계획량지정일자
30511016441(주)에버그린농우회개인2020-12-292022-12-28감자경상북도 예천군111980.03.52020-12-29
102951004351경상국립대학교 산학협력단개인2021-10-082023-10-07딸기경상남도 산청군136002.019.02021-10-08
37871015669(주)그린하이인증센터개인2020-09-212022-09-20사과충청북도 영동군188382.212.02020-09-21
77771009807주식회사 경기농업인증센터개인2021-12-282023-12-27딸기경기도 화성시132803.013.02021-12-28
71971010806(주)에버그린농우회단체2020-08-072022-08-06떫은감경상북도 청도군498011.012.92020-08-07
21261017440주식회사 농식품인증관리원개인2021-06-292023-06-28포도경기도 수원시 권선구111970.02.52021-06-29
99671005349(주)아이에스씨농업발전연구소개인2022-02-152024-02-14방울토마토전라북도 김제시147420.022.352022-02-15
97461005759농업법인플럼코트맘(주)개인2022-05-192024-05-18배전라남도 나주시1822880.052.332022-05-19
76271010066(재)금산인삼약초산업진흥원개인2022-03-222024-03-21깻잎충청남도 금산군11990.01.82022-03-22
69551011205㈜비씨에스코리아개인2020-09-212022-09-20사과강원도 정선군1619795.030.02020-09-21