Overview

Dataset statistics

Number of variables9
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory78.4 B

Variable types

Numeric4
Text3
Boolean1
Categorical1

Dataset

Description농림수산식품교육문화정보원 농업온 시스템의 영농가이드 농약에 대한 데이터로서재배순번, 정보번호, 농약종류코드, 농약명, 사용시기내용, 사용횟수 등의 항목을 포함하고 있습니다.
Author농림수산식품교육문화정보원
URLhttps://www.data.go.kr/data/15122572/fileData.do

Alerts

삭제여부 has constant value ""Constant
재배순번 is highly overall correlated with 등록일시High correlation
정보번호 is highly overall correlated with 등록일시High correlation
등록일시 is highly overall correlated with 재배순번 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 10:30:05.219659
Analysis finished2023-12-12 10:30:07.762619
Duration2.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재배순번
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.80357
Minimum210
Maximum593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T19:30:07.836198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210
5-th percentile302
Q1326
median358
Q3384
95-th percentile578.75
Maximum593
Range383
Interquartile range (IQR)58

Descriptive statistics

Standard deviation86.701247
Coefficient of variation (CV)0.23009667
Kurtosis1.3116316
Mean376.80357
Median Absolute Deviation (MAD)31
Skewness1.3169475
Sum21101
Variance7517.1062
MonotonicityIncreasing
2023-12-12T19:30:08.323475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
303 6
 
10.7%
380 5
 
8.9%
384 5
 
8.9%
304 3
 
5.4%
328 3
 
5.4%
329 3
 
5.4%
355 3
 
5.4%
358 3
 
5.4%
593 3
 
5.4%
360 2
 
3.6%
Other values (12) 20
35.7%
ValueCountFrequency (%)
210 1
 
1.8%
278 1
 
1.8%
302 2
 
3.6%
303 6
10.7%
304 3
5.4%
326 2
 
3.6%
328 3
5.4%
329 3
5.4%
355 3
5.4%
357 2
 
3.6%
ValueCountFrequency (%)
593 3
5.4%
574 2
 
3.6%
545 1
 
1.8%
521 2
 
3.6%
421 1
 
1.8%
403 2
 
3.6%
400 2
 
3.6%
384 5
8.9%
380 5
8.9%
361 2
 
3.6%

정보번호
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.321429
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T19:30:08.449155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median18
Q338.25
95-th percentile48
Maximum59
Range58
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation16.551965
Coefficient of variation (CV)0.74152801
Kurtosis-0.83391062
Mean22.321429
Median Absolute Deviation (MAD)12
Skewness0.60758174
Sum1250
Variance273.96753
MonotonicityNot monotonic
2023-12-12T19:30:08.595278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
14 3
 
5.4%
19 3
 
5.4%
8 3
 
5.4%
1 2
 
3.6%
7 2
 
3.6%
45 2
 
3.6%
44 2
 
3.6%
43 2
 
3.6%
41 2
 
3.6%
13 2
 
3.6%
Other values (26) 33
58.9%
ValueCountFrequency (%)
1 2
3.6%
2 2
3.6%
3 1
 
1.8%
4 1
 
1.8%
5 2
3.6%
6 2
3.6%
7 2
3.6%
8 3
5.4%
9 1
 
1.8%
10 1
 
1.8%
ValueCountFrequency (%)
59 1
1.8%
58 1
1.8%
57 1
1.8%
45 2
3.6%
44 2
3.6%
43 2
3.6%
42 1
1.8%
41 2
3.6%
40 1
1.8%
39 1
1.8%

농약명
Text

Distinct46
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T19:30:08.857110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length4.8928571
Min length1

Characters and Unicode

Total characters274
Distinct characters116
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)71.4%

Sample

1st row더블업
2nd row오티바
3rd row오티바
4th row아미스타탑
5th row노버그
ValueCountFrequency (%)
오티바 4
 
6.7%
슈퍼스타 4
 
6.7%
온삼이 2
 
3.3%
주렁 2
 
3.3%
모스피란 2
 
3.3%
응삼이 2
 
3.3%
비티원 1
 
1.7%
볼리암후레쉬 1
 
1.7%
더블업 1
 
1.7%
원파워 1
 
1.7%
Other values (40) 40
66.7%
2023-12-12T19:30:09.293980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 15
 
5.5%
이 13
 
4.7%
리 9
 
3.3%
타 7
 
2.6%
트 6
 
2.2%
미 6
 
2.2%
티 6
 
2.2%
오 5
 
1.8%
화 5
 
1.8%
드 5
 
1.8%
Other values (106) 197
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
93.4%
Open Punctuation 5
 
1.8%
Close Punctuation 5
 
1.8%
Space Separator 4
 
1.5%
Decimal Number 2
 
0.7%
Other Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 15
 
5.9%
이 13
 
5.1%
리 9
 
3.5%
타 7
 
2.7%
트 6
 
2.3%
미 6
 
2.3%
티 6
 
2.3%
오 5
 
2.0%
화 5
 
2.0%
드 5
 
2.0%
Other values (99) 179
69.9%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
5 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
93.4%
Common 18
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 15
 
5.9%
이 13
 
5.1%
리 9
 
3.5%
타 7
 
2.7%
트 6
 
2.3%
미 6
 
2.3%
티 6
 
2.3%
오 5
 
2.0%
화 5
 
2.0%
드 5
 
2.0%
Other values (99) 179
69.9%
Common
ValueCountFrequency (%)
( 5
27.8%
) 5
27.8%
4
22.2%
. 1
 
5.6%
- 1
 
5.6%
4 1
 
5.6%
5 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
93.4%
ASCII 18
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 15
 
5.9%
이 13
 
5.1%
리 9
 
3.5%
타 7
 
2.7%
트 6
 
2.3%
미 6
 
2.3%
티 6
 
2.3%
오 5
 
2.0%
화 5
 
2.0%
드 5
 
2.0%
Other values (99) 179
69.9%
ASCII
ValueCountFrequency (%)
( 5
27.8%
) 5
27.8%
4
22.2%
. 1
 
5.6%
- 1
 
5.6%
4 1
 
5.6%
5 1
 
5.6%

사용시기내용
Text

Distinct32
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T19:30:09.562993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14.5
Mean length8.2857143
Min length4

Characters and Unicode

Total characters464
Distinct characters48
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)42.9%

Sample

1st row발생시 즉시
2nd row발병초 10일간격
3rd row발병초 10일간격
4th row발병초 7일간격
5th row발생초기
ValueCountFrequency (%)
수확 13
 
10.2%
발생초기 10
 
7.8%
발병 10
 
7.8%
초기 8
 
6.2%
부터 8
 
6.2%
다발생기 6
 
4.7%
간격 6
 
4.7%
7일 5
 
3.9%
발병초 4
 
3.1%
수확3일전까지 4
 
3.1%
Other values (37) 54
42.2%
2023-12-12T19:30:10.007886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
15.5%
발 41
 
8.8%
초 33
 
7.1%
일 29
 
6.2%
기 27
 
5.8%
생 26
 
5.6%
전 19
 
4.1%
수 18
 
3.9%
확 18
 
3.9%
병 16
 
3.4%
Other values (38) 165
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
74.4%
Space Separator 72
 
15.5%
Decimal Number 42
 
9.1%
Math Symbol 5
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 41
 
11.9%
초 33
 
9.6%
일 29
 
8.4%
기 27
 
7.8%
생 26
 
7.5%
전 19
 
5.5%
수 18
 
5.2%
확 18
 
5.2%
병 16
 
4.6%
부 14
 
4.1%
Other values (29) 104
30.1%
Decimal Number
ValueCountFrequency (%)
7 15
35.7%
3 9
21.4%
1 6
 
14.3%
4 5
 
11.9%
0 3
 
7.1%
2 2
 
4.8%
5 2
 
4.8%
Space Separator
ValueCountFrequency (%)
72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
74.4%
Common 119
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 41
 
11.9%
초 33
 
9.6%
일 29
 
8.4%
기 27
 
7.8%
생 26
 
7.5%
전 19
 
5.5%
수 18
 
5.2%
확 18
 
5.2%
병 16
 
4.6%
부 14
 
4.1%
Other values (29) 104
30.1%
Common
ValueCountFrequency (%)
72
60.5%
7 15
 
12.6%
3 9
 
7.6%
1 6
 
5.0%
4 5
 
4.2%
~ 5
 
4.2%
0 3
 
2.5%
2 2
 
1.7%
5 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
74.4%
ASCII 119
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
60.5%
7 15
 
12.6%
3 9
 
7.6%
1 6
 
5.0%
4 5
 
4.2%
~ 5
 
4.2%
0 3
 
2.5%
2 2
 
1.7%
5 2
 
1.7%
Hangul
ValueCountFrequency (%)
발 41
 
11.9%
초 33
 
9.6%
일 29
 
8.4%
기 27
 
7.8%
생 26
 
7.5%
전 19
 
5.5%
수 18
 
5.2%
확 18
 
5.2%
병 16
 
4.6%
부 14
 
4.1%
Other values (29) 104
30.1%

사용횟수
Real number (ℝ)

Distinct6
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8571429
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T19:30:10.161847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2710564
Coefficient of variation (CV)0.44486975
Kurtosis0.96081189
Mean2.8571429
Median Absolute Deviation (MAD)1
Skewness0.71844433
Sum160
Variance1.6155844
MonotonicityNot monotonic
2023-12-12T19:30:10.297982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 23
41.1%
2 13
23.2%
1 8
 
14.3%
5 6
 
10.7%
4 5
 
8.9%
7 1
 
1.8%
ValueCountFrequency (%)
1 8
 
14.3%
2 13
23.2%
3 23
41.1%
4 5
 
8.9%
5 6
 
10.7%
7 1
 
1.8%
ValueCountFrequency (%)
7 1
 
1.8%
5 6
 
10.7%
4 5
 
8.9%
3 23
41.1%
2 13
23.2%
1 8
 
14.3%

비고
Text

Distinct45
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T19:30:10.625382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length21
Min length9

Characters and Unicode

Total characters1176
Distinct characters103
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)66.1%

Sample

1st row수퍼스타는 250cc에 16,000원, 침투력을 좋게하고 내성을 경감시키는 더블업은 14,000원
2nd row수확 5일전까지 2회 이내살포
3rd row수확 5일전까지 2회 이내살포
4th row수확 7일전까지 2회이내 사용
5th row용량 25ml/1,000배 물과 희석(25㎖/25ℓ)하여 엽면시비
ValueCountFrequency (%)
수확 25
 
10.5%
살포 23
 
9.7%
희석하여 9
 
3.8%
1,000배액으로 9
 
3.8%
사용 9
 
3.8%
3회 8
 
3.4%
2,000배액으로 8
 
3.4%
3일전까지 7
 
2.9%
이내살포 7
 
2.9%
5일전까지 6
 
2.5%
Other values (74) 127
53.4%
2023-12-12T19:30:11.115644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
15.5%
0 115
 
9.8%
일 43
 
3.7%
2 41
 
3.5%
살 35
 
3.0%
포 35
 
3.0%
, 34
 
2.9%
배 34
 
2.9%
전 33
 
2.8%
로 33
 
2.8%
Other values (93) 591
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 675
57.4%
Decimal Number 247
 
21.0%
Space Separator 182
 
15.5%
Other Punctuation 44
 
3.7%
Lowercase Letter 9
 
0.8%
Math Symbol 8
 
0.7%
Other Symbol 4
 
0.3%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 43
 
6.4%
살 35
 
5.2%
포 35
 
5.2%
배 34
 
5.0%
전 33
 
4.9%
로 33
 
4.9%
액 31
 
4.6%
으 30
 
4.4%
수 29
 
4.3%
확 28
 
4.1%
Other values (69) 344
51.0%
Decimal Number
ValueCountFrequency (%)
0 115
46.6%
2 41
 
16.6%
1 29
 
11.7%
3 21
 
8.5%
5 17
 
6.9%
7 14
 
5.7%
4 5
 
2.0%
6 3
 
1.2%
8 2
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
c 2
22.2%
m 2
22.2%
ℓ 2
22.2%
l 2
22.2%
g 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 34
77.3%
/ 6
 
13.6%
. 4
 
9.1%
Other Symbol
ValueCountFrequency (%)
㎖ 3
75.0%
㎡ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
182
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 675
57.4%
Common 494
42.0%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 43
 
6.4%
살 35
 
5.2%
포 35
 
5.2%
배 34
 
5.0%
전 33
 
4.9%
로 33
 
4.9%
액 31
 
4.6%
으 30
 
4.4%
수 29
 
4.3%
확 28
 
4.1%
Other values (69) 344
51.0%
Common
ValueCountFrequency (%)
182
36.8%
0 115
23.3%
2 41
 
8.3%
, 34
 
6.9%
1 29
 
5.9%
3 21
 
4.3%
5 17
 
3.4%
7 14
 
2.8%
~ 8
 
1.6%
/ 6
 
1.2%
Other values (10) 27
 
5.5%
Latin
ValueCountFrequency (%)
c 2
28.6%
m 2
28.6%
l 2
28.6%
g 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 675
57.4%
ASCII 495
42.1%
CJK Compat 4
 
0.3%
Letterlike Symbols 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
36.8%
0 115
23.2%
2 41
 
8.3%
, 34
 
6.9%
1 29
 
5.9%
3 21
 
4.2%
5 17
 
3.4%
7 14
 
2.8%
~ 8
 
1.6%
/ 6
 
1.2%
Other values (11) 28
 
5.7%
Hangul
ValueCountFrequency (%)
일 43
 
6.4%
살 35
 
5.2%
포 35
 
5.2%
배 34
 
5.0%
전 33
 
4.9%
로 33
 
4.9%
액 31
 
4.6%
으 30
 
4.4%
수 29
 
4.3%
확 28
 
4.1%
Other values (69) 344
51.0%
CJK Compat
ValueCountFrequency (%)
㎖ 3
75.0%
㎡ 1
 
25.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 2
100.0%

정렬번호
Real number (ℝ)

Distinct7
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T19:30:11.276260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6624188
Coefficient of variation (CV)0.55413961
Kurtosis-0.47335319
Mean3
Median Absolute Deviation (MAD)1
Skewness0.59097992
Sum168
Variance2.7636364
MonotonicityNot monotonic
2023-12-12T19:30:11.395874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 14
25.0%
1 12
21.4%
3 10
17.9%
4 8
14.3%
5 8
14.3%
6 2
 
3.6%
7 2
 
3.6%
ValueCountFrequency (%)
1 12
21.4%
2 14
25.0%
3 10
17.9%
4 8
14.3%
5 8
14.3%
6 2
 
3.6%
7 2
 
3.6%
ValueCountFrequency (%)
7 2
 
3.6%
6 2
 
3.6%
5 8
14.3%
4 8
14.3%
3 10
17.9%
2 14
25.0%
1 12
21.4%

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size188.0 B
False
56 
ValueCountFrequency (%)
False 56
100.0%
2023-12-12T19:30:11.515058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일시
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size580.0 B
2014-05-20 11:40
6 
2014-07-31 11:22
5 
2014-07-31 17:07
5 
2015-03-09 15:14
 
3
2014-05-15 17:46
 
3
Other values (17)
34 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique4 ?
Unique (%)7.1%

Sample

1st row2014-04-28 18:37
2nd row2014-05-20 10:32
3rd row2014-05-20 11:00
4th row2014-05-20 11:00
5th row2014-05-20 11:40

Common Values

ValueCountFrequency (%)
2014-05-20 11:40 6
 
10.7%
2014-07-31 11:22 5
 
8.9%
2014-07-31 17:07 5
 
8.9%
2015-03-09 15:14 3
 
5.4%
2014-05-15 17:46 3
 
5.4%
2014-08-04 14:16 3
 
5.4%
2014-08-04 14:32 3
 
5.4%
2014-07-31 13:29 3
 
5.4%
2014-07-11 09:31 3
 
5.4%
2014-07-03 11:23 2
 
3.6%
Other values (12) 20
35.7%

Length

2023-12-12T19:30:11.630726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2014-07-31 17
 
15.2%
2014-05-20 9
 
8.0%
11:40 6
 
5.4%
2014-08-04 6
 
5.4%
11:22 5
 
4.5%
17:07 5
 
4.5%
2015-03-09 5
 
4.5%
2014-07-03 4
 
3.6%
17:46 4
 
3.6%
13:29 3
 
2.7%
Other values (24) 48
42.9%

Interactions

2023-12-12T19:30:07.135236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:05.779574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.265537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.733455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:07.230725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:05.920912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.391360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.837324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:07.331257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.054585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.506377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.931607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:07.414492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.158673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:06.618045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:30:07.023076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:30:11.725489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재배순번정보번호농약명사용시기내용사용횟수비고정렬번호등록일시
재배순번1.0000.6240.0000.9460.3750.8160.0001.000
정보번호0.6241.0000.0000.9240.3380.8560.1370.962
농약명0.0000.0001.0000.8650.8870.8170.5850.000
사용시기내용0.9460.9240.8651.0000.5670.9500.0000.973
사용횟수0.3750.3380.8870.5671.0000.9610.1540.608
비고0.8160.8560.8170.9500.9611.0000.6750.875
정렬번호0.0000.1370.5850.0000.1540.6751.0000.000
등록일시1.0000.9620.0000.9730.6080.8750.0001.000
2023-12-12T19:30:11.868214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재배순번정보번호사용횟수정렬번호등록일시
재배순번1.000-0.325-0.108-0.3320.842
정보번호-0.3251.0000.4070.4010.697
사용횟수-0.1080.4071.0000.3190.261
정렬번호-0.3320.4010.3191.0000.000
등록일시0.8420.6970.2610.0001.000

Missing values

2023-12-12T19:30:07.547287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:30:07.697035image/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

재배순번정보번호농약명사용시기내용사용횟수비고정렬번호삭제여부등록일시
02101더블업발생시 즉시1수퍼스타는 250cc에 16,000원, 침투력을 좋게하고 내성을 경감시키는 더블업은 14,000원1N2014-04-28 18:37
127821오티바발병초 10일간격2수확 5일전까지 2회 이내살포1N2014-05-20 10:32
230214오티바발병초 10일간격2수확 5일전까지 2회 이내살포2N2014-05-20 11:00
330215아미스타탑발병초 7일간격2수확 7일전까지 2회이내 사용3N2014-05-20 11:00
430317노버그발생초기5용량 25ml/1,000배 물과 희석(25㎖/25ℓ)하여 엽면시비2N2014-05-20 11:40
530318진삼이플러스발생초기5용량 250㎖/물과 1,000배 희석(20㎖/20ℓ)하여 엽면시비3N2014-05-20 11:40
630319온삼이발생초기5용량 250ml/4N2014-05-20 11:40
730320주렁다발생기2수확 3일전까지 2회 이내살포5N2014-05-20 11:40
830321화스탁발생초기3수확 3일전까지 3회 이내살포6N2014-05-20 11:40
930322모스피란다발생기2수확 5일전까지 2회이내 사용7N2014-05-20 11:40
재배순번정보번호농약명사용시기내용사용횟수비고정렬번호삭제여부등록일시
464038디노테퓨란발생 초기부터1수확 2주전까지 1,000배로 희석하여 살포2N2014-08-05 09:55
474215포롬디수확3일전까지 4회이내사용4장마직전부터 10일간격5N2014-07-15 11:38
485211부메랑(올가미)발생초 ~ 수확 5일전까지1발생초기부터 수확 5일전까지 2,000배액으로 1회 살포한다.1N2014-10-08 15:53
495212프로클레임발생초 ~ 수확 3일전2발생초기부터 수확 3일전까지 2,000배액을 2회 이내 살포한다.2N2014-10-08 15:53
505452온삼이발생초기 5~7일 간격21,000배액으로 희석하여 발생초기 5~7일 간격으로 2~3회 살포해준다.1N2014-10-15 17:46
515745응삼이발생초기31,000배액으로 발생초기 5~7일 간격으로 2~3회 살포1N2015-03-09 15:11
525746팔콘수확 7일전1발생이 심해질 때 1,00배액으로 수확 7일 전까지 1회 사용2N2015-03-09 15:11
535936슈퍼스타발병 초 7일간격21000배액으로 일주일간격 2-3회 살포2N2015-03-09 15:14
545937오티바발병 초 수확 3일전42000배액으로 희석하여 수확 3일전까지 사용, 4회 이내로 살포한다.3N2015-03-09 15:14
555938늘사랑발병 초 수확 2일전3일주일간격으로 수확 2일전까지 3회이내로 사용4N2015-03-09 15:14