Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory810.5 KiB
Average record size in memory83.0 B

Variable types

Numeric3
Categorical2
Text2
DateTime2

Dataset

Description인증번호에 대해 품목별 인증 현황(인증번호, 인증종류명, 인증농가, 인증품목명, 재배(작업장)면적(사육두수), 생산(수입)계획량, 인증기간(시작일), 인증기간(종료일), 원재료인증구분)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001679

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
인증종류명 is highly overall correlated with 원재료인증구분High correlation
원재료인증구분 is highly overall correlated with 재배(작업장)면적(사육두수) and 1 other fieldsHigh correlation
재배(작업장)면적(사육두수) is highly overall correlated with 생산(수입)계획량 and 1 other fieldsHigh correlation
생산(수입)계획량 is highly overall correlated with 재배(작업장)면적(사육두수)High correlation
원재료인증구분 is highly imbalanced (79.8%)Imbalance
재배(작업장)면적(사육두수) is highly skewed (γ1 = 66.27468339)Skewed
생산(수입)계획량 is highly skewed (γ1 = 71.75107977)Skewed

Reproduction

Analysis started2024-01-05 22:17:40.653182
Analysis finished2024-01-05 22:17:46.435778
Duration5.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Real number (ℝ)

Distinct5850
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14039492
Minimum1300002
Maximum99900020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-05T22:17:46.659717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300002
5-th percentile10100778
Q111303491
median14304026
Q315306884
95-th percentile17303139
Maximum99900020
Range98600018
Interquartile range (IQR)4003393.2

Descriptive statistics

Standard deviation7206766.2
Coefficient of variation (CV)0.51332103
Kurtosis113.0948
Mean14039492
Median Absolute Deviation (MAD)1796431
Skewness9.6659124
Sum1.4039492 × 1011
Variance5.1937479 × 1013
MonotonicityNot monotonic
2024-01-05T22:17:47.131034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13100449 27
 
0.3%
4100031 27
 
0.3%
13100641 21
 
0.2%
13100609 17
 
0.2%
14100545 16
 
0.2%
10303755 16
 
0.2%
15102996 15
 
0.1%
12303591 15
 
0.1%
12100978 15
 
0.1%
18301381 14
 
0.1%
Other values (5840) 9817
98.2%
ValueCountFrequency (%)
1300002 1
 
< 0.1%
1300011 1
 
< 0.1%
1300014 1
 
< 0.1%
1300015 1
 
< 0.1%
1300018 4
< 0.1%
1300019 1
 
< 0.1%
1300020 1
 
< 0.1%
1300021 3
< 0.1%
1300022 6
0.1%
1300024 2
 
< 0.1%
ValueCountFrequency (%)
99900020 1
< 0.1%
99900013 1
< 0.1%
99900002 1
< 0.1%
99800506 1
< 0.1%
99800505 1
< 0.1%
99800144 1
< 0.1%
99800127 1
< 0.1%
99800109 1
< 0.1%
99800108 1
< 0.1%
99800043 1
< 0.1%

인증종류명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무농약농산물
4846 
유기농산물
4145 
취급자
854 
유기가공식품
 
114
유기축산물
 
19
Other values (2)
 
22

Length

Max length9
Median length8
Mean length5.3335
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무농약농산물
2nd row유기농산물
3rd row무농약농산물
4th row유기농산물
5th row무농약농산물

Common Values

ValueCountFrequency (%)
무농약농산물 4846
48.5%
유기농산물 4145
41.4%
취급자 854
 
8.5%
유기가공식품 114
 
1.1%
유기축산물 19
 
0.2%
무농약원료가공식품 17
 
0.2%
비식용유기가공품 5
 
0.1%

Length

2024-01-05T22:17:47.632435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T22:17:48.002246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무농약농산물 4846
48.5%
유기농산물 4145
41.4%
취급자 854
 
8.5%
유기가공식품 114
 
1.1%
유기축산물 19
 
0.2%
무농약원료가공식품 17
 
0.2%
비식용유기가공품 5
 
< 0.1%

인증농가
Text

Distinct6593
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-05T22:17:48.584182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length3
Mean length3.3234
Min length2

Characters and Unicode

Total characters33234
Distinct characters430
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4882 ?
Unique (%)48.8%

Sample

1st row유지영
2nd row김안석
3rd row변상호
4th row고종문
5th row이정섭
ValueCountFrequency (%)
박홍진 27
 
0.3%
농업회사법인 16
 
0.2%
김진석 15
 
0.1%
정주현 14
 
0.1%
양경애 14
 
0.1%
김정수 13
 
0.1%
이병각 12
 
0.1%
김영신 12
 
0.1%
박경숙 12
 
0.1%
박연우 12
 
0.1%
Other values (6721) 10116
98.6%
2024-01-05T22:17:49.580710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2066
 
6.2%
이 1448
 
4.4%
정 1016
 
3.1%
박 871
 
2.6%
영 852
 
2.6%
수 563
 
1.7%
성 548
 
1.6%
순 539
 
1.6%
현 476
 
1.4%
최 476
 
1.4%
Other values (420) 24379
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31459
94.7%
Lowercase Letter 674
 
2.0%
Uppercase Letter 443
 
1.3%
Space Separator 266
 
0.8%
Open Punctuation 160
 
0.5%
Close Punctuation 160
 
0.5%
Other Punctuation 67
 
0.2%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2066
 
6.6%
이 1448
 
4.6%
정 1016
 
3.2%
박 871
 
2.8%
영 852
 
2.7%
수 563
 
1.8%
성 548
 
1.7%
순 539
 
1.7%
현 476
 
1.5%
최 476
 
1.5%
Other values (358) 22604
71.9%
Lowercase Letter
ValueCountFrequency (%)
a 90
13.4%
n 73
10.8%
e 62
 
9.2%
i 58
 
8.6%
r 50
 
7.4%
o 45
 
6.7%
d 36
 
5.3%
s 36
 
5.3%
h 32
 
4.7%
l 31
 
4.6%
Other values (15) 161
23.9%
Uppercase Letter
ValueCountFrequency (%)
A 58
 
13.1%
I 33
 
7.4%
S 31
 
7.0%
T 30
 
6.8%
C 29
 
6.5%
L 26
 
5.9%
R 25
 
5.6%
P 23
 
5.2%
O 21
 
4.7%
M 21
 
4.7%
Other values (15) 146
33.0%
Other Punctuation
ValueCountFrequency (%)
. 40
59.7%
, 20
29.9%
& 4
 
6.0%
: 2
 
3.0%
/ 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
0 1
20.0%
1 1
20.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31459
94.7%
Latin 1117
 
3.4%
Common 658
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2066
 
6.6%
이 1448
 
4.6%
정 1016
 
3.2%
박 871
 
2.8%
영 852
 
2.7%
수 563
 
1.8%
성 548
 
1.7%
순 539
 
1.7%
현 476
 
1.5%
최 476
 
1.5%
Other values (358) 22604
71.9%
Latin
ValueCountFrequency (%)
a 90
 
8.1%
n 73
 
6.5%
e 62
 
5.6%
i 58
 
5.2%
A 58
 
5.2%
r 50
 
4.5%
o 45
 
4.0%
d 36
 
3.2%
s 36
 
3.2%
I 33
 
3.0%
Other values (40) 576
51.6%
Common
ValueCountFrequency (%)
266
40.4%
( 160
24.3%
) 160
24.3%
. 40
 
6.1%
, 20
 
3.0%
& 4
 
0.6%
: 2
 
0.3%
2 2
 
0.3%
0 1
 
0.2%
1 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31459
94.7%
ASCII 1775
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2066
 
6.6%
이 1448
 
4.6%
정 1016
 
3.2%
박 871
 
2.8%
영 852
 
2.7%
수 563
 
1.8%
성 548
 
1.7%
순 539
 
1.7%
현 476
 
1.5%
최 476
 
1.5%
Other values (358) 22604
71.9%
ASCII
ValueCountFrequency (%)
266
 
15.0%
( 160
 
9.0%
) 160
 
9.0%
a 90
 
5.1%
n 73
 
4.1%
e 62
 
3.5%
i 58
 
3.3%
A 58
 
3.3%
r 50
 
2.8%
o 45
 
2.5%
Other values (52) 753
42.4%

인증품목명
Text

Distinct632
Distinct (%)6.3%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-01-05T22:17:50.273834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length2.4590377
Min length1

Characters and Unicode

Total characters24583
Distinct characters397
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)2.1%

Sample

1st row당근
2nd row이탈리안라이그라스
3rd row달래
4th row벼
5th row벼
ValueCountFrequency (%)
벼 2292
 
22.9%
찰벼 333
 
3.3%
밤 218
 
2.2%
블루베리 173
 
1.7%
양파 153
 
1.5%
감자 153
 
1.5%
쌀 115
 
1.1%
무 109
 
1.1%
대파 101
 
1.0%
표고버섯 100
 
1.0%
Other values (630) 6271
62.6%
2024-01-05T22:17:51.524339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 2658
 
10.8%
류 935
 
3.8%
리 859
 
3.5%
추 781
 
3.2%
고 672
 
2.7%
채 505
 
2.1%
양 435
 
1.8%
마 427
 
1.7%
찰 420
 
1.7%
이 394
 
1.6%
Other values (387) 16497
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24180
98.4%
Close Punctuation 157
 
0.6%
Open Punctuation 157
 
0.6%
Lowercase Letter 56
 
0.2%
Space Separator 21
 
0.1%
Uppercase Letter 9
 
< 0.1%
Decimal Number 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 2658
 
11.0%
류 935
 
3.9%
리 859
 
3.6%
추 781
 
3.2%
고 672
 
2.8%
채 505
 
2.1%
양 435
 
1.8%
마 427
 
1.8%
찰 420
 
1.7%
이 394
 
1.6%
Other values (359) 16094
66.6%
Lowercase Letter
ValueCountFrequency (%)
e 12
21.4%
a 10
17.9%
t 6
10.7%
h 4
 
7.1%
o 4
 
7.1%
n 3
 
5.4%
g 3
 
5.4%
b 2
 
3.6%
y 2
 
3.6%
w 2
 
3.6%
Other values (6) 8
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
B 2
22.2%
C 2
22.2%
K 1
11.1%
R 1
11.1%
A 1
11.1%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
5 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24180
98.4%
Common 338
 
1.4%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 2658
 
11.0%
류 935
 
3.9%
리 859
 
3.6%
추 781
 
3.2%
고 672
 
2.8%
채 505
 
2.1%
양 435
 
1.8%
마 427
 
1.8%
찰 420
 
1.7%
이 394
 
1.6%
Other values (359) 16094
66.6%
Latin
ValueCountFrequency (%)
e 12
18.5%
a 10
15.4%
t 6
 
9.2%
h 4
 
6.2%
o 4
 
6.2%
n 3
 
4.6%
g 3
 
4.6%
b 2
 
3.1%
S 2
 
3.1%
y 2
 
3.1%
Other values (12) 17
26.2%
Common
ValueCountFrequency (%)
) 157
46.4%
( 157
46.4%
21
 
6.2%
9 1
 
0.3%
5 1
 
0.3%
% 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24180
98.4%
ASCII 403
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 2658
 
11.0%
류 935
 
3.9%
리 859
 
3.6%
추 781
 
3.2%
고 672
 
2.8%
채 505
 
2.1%
양 435
 
1.8%
마 427
 
1.8%
찰 420
 
1.7%
이 394
 
1.6%
Other values (359) 16094
66.6%
ASCII
ValueCountFrequency (%)
) 157
39.0%
( 157
39.0%
21
 
5.2%
e 12
 
3.0%
a 10
 
2.5%
t 6
 
1.5%
h 4
 
1.0%
o 4
 
1.0%
n 3
 
0.7%
g 3
 
0.7%
Other values (18) 26
 
6.5%

재배(작업장)면적(사육두수)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct5246
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17313.555
Minimum0.5
Maximum36172700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-05T22:17:51.983184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile50
Q1411.75
median2000
Q35721.25
95-th percentile25782.5
Maximum36172700
Range36172700
Interquartile range (IQR)5309.5

Descriptive statistics

Standard deviation439255.55
Coefficient of variation (CV)25.370615
Kurtosis5017.7589
Mean17313.555
Median Absolute Deviation (MAD)1800
Skewness66.274683
Sum1.7313555 × 108
Variance1.9294544 × 1011
MonotonicityNot monotonic
2024-01-05T22:17:52.460783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 201
 
2.0%
200.0 161
 
1.6%
300.0 157
 
1.6%
50.0 130
 
1.3%
1000.0 121
 
1.2%
500.0 105
 
1.1%
330.0 91
 
0.9%
30.0 89
 
0.9%
150.0 72
 
0.7%
400.0 70
 
0.7%
Other values (5236) 8803
88.0%
ValueCountFrequency (%)
0.5 2
 
< 0.1%
1.0 15
0.1%
2.0 5
 
0.1%
3.0 3
 
< 0.1%
3.4 1
 
< 0.1%
4.0 2
 
< 0.1%
5.0 11
0.1%
6.0 2
 
< 0.1%
7.0 4
 
< 0.1%
7.5 2
 
< 0.1%
ValueCountFrequency (%)
36172700.0 1
< 0.1%
19769685.0 1
< 0.1%
7233700.0 1
< 0.1%
6126442.0 1
< 0.1%
5694100.0 1
< 0.1%
4783500.0 1
< 0.1%
4710000.0 1
< 0.1%
4313334.3 1
< 0.1%
3863800.0 1
< 0.1%
2300000.0 1
< 0.1%

생산(수입)계획량
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2553
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50897.935
Minimum0
Maximum1.0718425 × 108
Zeros89
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-05T22:17:52.999675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1500
median2000
Q36817.5
95-th percentile50000
Maximum1.0718425 × 108
Range1.0718425 × 108
Interquartile range (IQR)6317.5

Descriptive statistics

Standard deviation1216345
Coefficient of variation (CV)23.897728
Kurtosis6080.3729
Mean50897.935
Median Absolute Deviation (MAD)1870
Skewness71.75108
Sum5.0897935 × 108
Variance1.4794952 × 1012
MonotonicityNot monotonic
2024-01-05T22:17:53.453373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 368
 
3.7%
100.0 328
 
3.3%
2000.0 296
 
3.0%
500.0 280
 
2.8%
200.0 226
 
2.3%
3000.0 190
 
1.9%
300.0 190
 
1.9%
50.0 179
 
1.8%
1500.0 162
 
1.6%
5000.0 159
 
1.6%
Other values (2543) 7622
76.2%
ValueCountFrequency (%)
0.0 89
0.9%
0.4 4
 
< 0.1%
1.0 40
0.4%
1.4 3
 
< 0.1%
1.5 1
 
< 0.1%
2.0 13
 
0.1%
3.0 8
 
0.1%
4.0 5
 
0.1%
5.0 36
0.4%
6.0 4
 
< 0.1%
ValueCountFrequency (%)
107184250.0 1
< 0.1%
28500000.0 1
< 0.1%
21776069.0 1
< 0.1%
21469505.0 1
< 0.1%
16609446.0 1
< 0.1%
15000000.0 1
< 0.1%
14492365.0 1
< 0.1%
12870000.0 1
< 0.1%
12000000.0 1
< 0.1%
11000000.0 1
< 0.1%

인증기간(시작일)
Date

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-06-17 00:00:00
Maximum2023-06-16 00:00:00
2024-01-05T22:17:53.919370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:54.525774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증기간(종료일)
Date

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-06-16 00:00:00
Maximum2024-06-15 00:00:00
2024-01-05T22:17:55.101760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:55.698054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

원재료인증구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9149 
무농약농산물
 
438
유기농산물
 
386
유기가공식품
 
19
유기축산물
 
7

Length

Max length9
Median length4
Mean length4.1312
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9149
91.5%
무농약농산물 438
 
4.4%
유기농산물 386
 
3.9%
유기가공식품 19
 
0.2%
유기축산물 7
 
0.1%
무농약원료가공식품 1
 
< 0.1%

Length

2024-01-05T22:17:56.285016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T22:17:56.755931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9149
91.5%
무농약농산물 438
 
4.4%
유기농산물 386
 
3.9%
유기가공식품 19
 
0.2%
유기축산물 7
 
0.1%
무농약원료가공식품 1
 
< 0.1%

Interactions

2024-01-05T22:17:44.614907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:42.858156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:43.685618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:44.886905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:43.127870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:44.024045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:45.247119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:43.418318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T22:17:44.327577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-05T22:17:57.121033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호인증종류명재배(작업장)면적(사육두수)생산(수입)계획량원재료인증구분
인증번호1.0000.4070.2870.2440.217
인증종류명0.4071.0000.0000.302NaN
재배(작업장)면적(사육두수)0.2870.0001.0000.940NaN
생산(수입)계획량0.2440.3020.9401.0000.000
원재료인증구분0.217NaNNaN0.0001.000
2024-01-05T22:17:57.895455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증종류명원재료인증구분
인증종류명1.0001.000
원재료인증구분1.0001.000
2024-01-05T22:17:58.150666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호재배(작업장)면적(사육두수)생산(수입)계획량인증종류명원재료인증구분
인증번호1.0000.2280.0950.3000.166
재배(작업장)면적(사육두수)0.2281.0000.5370.0001.000
생산(수입)계획량0.0950.5371.0000.2120.000
인증종류명0.3000.0000.2121.0001.000
원재료인증구분0.1661.0000.0001.0001.000

Missing values

2024-01-05T22:17:45.626493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-05T22:17:46.192085image/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

인증번호인증종류명인증농가인증품목명재배(작업장)면적(사육두수)생산(수입)계획량인증기간(시작일)인증기간(종료일)원재료인증구분
7343413303550무농약농산물유지영당근650.0800.02023-05-222024-05-21<NA>
7894215102981유기농산물김안석이탈리안라이그라스13931.030100.02022-09-082023-09-07<NA>
9221411304392무농약농산물변상호달래33.020.02023-06-022024-06-01<NA>
7448611100751유기농산물고종문벼3964.02970.02022-07-122023-07-11<NA>
6586413302132무농약농산물이정섭벼9396.06350.02022-09-232023-09-22<NA>
9565417100936유기농산물조남조벼4506.02990.02022-08-272023-08-26<NA>
5451815306397무농약농산물김흥록벼3006.42104.02022-10-312023-10-30<NA>
5242015303240무농약농산물서일주쌀1692.0760.02022-09-142023-09-13<NA>
9014917303542무농약농산물고센농원(홍성윤)산초770.02.02023-04-142024-04-13<NA>
5687915306816무농약농산물김수정부추2560.015537.02023-02-262024-02-25<NA>
인증번호인증종류명인증농가인증품목명재배(작업장)면적(사육두수)생산(수입)계획량인증기간(시작일)인증기간(종료일)원재료인증구분
9431917303648무농약농산물정이태참다래(키위)15000.028850.02022-07-122023-07-11<NA>
8828014304149무농약농산물백조근양파2302.013000.02023-02-132024-02-12<NA>
5442915101180유기농산물하순덕벼14245.48560.02022-10-052023-10-04<NA>
7518311100817유기농산물이말숙포도5732.03500.02022-07-202023-07-19<NA>
182312100752유기농산물신성섭보리500.0500.02023-06-032024-06-02<NA>
4208212100425유기농산물이원규벼7622.04573.02022-09-142023-09-13<NA>
9784915104688유기농산물차현지귀리12735.04460.02022-10-132023-10-12<NA>
4198416301743무농약농산물최창식여주465.0500.02022-08-222023-08-21<NA>
1925815306805무농약농산물김성옥쑥갓5550.07326.02023-02-272024-02-26<NA>
6859417100225유기농산물안영철오이600.01780.02022-12-092023-12-08<NA>

Duplicate rows

Most frequently occurring

인증번호인증종류명인증농가인증품목명재배(작업장)면적(사육두수)생산(수입)계획량인증기간(시작일)인증기간(종료일)원재료인증구분# duplicates
010100040유기농산물정주현생채240.0800.02022-07-282023-07-27<NA>2
114303053무농약농산물서판열수박660.02500.02023-03-142024-03-13<NA>2