Overview

Dataset statistics

Number of variables11
Number of observations265
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.2 KiB
Average record size in memory93.5 B

Variable types

Numeric3
Categorical6
Text2

Dataset

Description농림축산식품부에서 추진하는 농업활동에 필요한 주요 품목별 농작업을 도출하고, 표준코드화를 통한 품목별 농작업코드 및 활용체계에 대한 가이드를 제공합니다.
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20230103000000002364

Alerts

시설유형 has constant value ""Constant
시설유형 코드 has constant value ""Constant
프로세스 영역(PA) is highly overall correlated with 농작업 코드 and 2 other fieldsHigh correlation
PA 코드 is highly overall correlated with 농작업 코드 and 2 other fieldsHigh correlation
농작업 표준코드 is highly overall correlated with 품목 중분류 코드 and 1 other fieldsHigh correlation
품목 중분류 코드 is highly overall correlated with 농작업 표준코드 and 1 other fieldsHigh correlation
농작업 코드 is highly overall correlated with 프로세스 영역(PA) and 2 other fieldsHigh correlation
품목 중분류 is highly overall correlated with 농작업 표준코드 and 1 other fieldsHigh correlation
유사용어 is highly overall correlated with 농작업 코드 and 2 other fieldsHigh correlation
농작업 표준코드 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:15:47.854084
Analysis finished2023-12-11 03:15:49.968138
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농작업 표준코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct265
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0085152 × 1012
Minimum1.00101 × 1012
Maximum1.0120901 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T12:15:50.054189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.00101 × 1012
5-th percentile1.00101 × 1012
Q11.00501 × 1012
median1.01101 × 1012
Q31.01207 × 1012
95-th percentile1.01209 × 1012
Maximum1.0120901 × 1012
Range1.108004 × 1010
Interquartile range (IQR)7.06 × 109

Descriptive statistics

Standard deviation4.2143111 × 109
Coefficient of variation (CV)0.0041787282
Kurtosis-1.1804881
Mean1.0085152 × 1012
Median Absolute Deviation (MAD)1.0600301 × 109
Skewness-0.73608731
Sum2.6725654 × 1014
Variance1.7760418 × 1019
MonotonicityNot monotonic
2023-12-11T12:15:50.210387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001010010001 1
 
0.4%
1012070020053 1
 
0.4%
1012070010004 1
 
0.4%
1012070010005 1
 
0.4%
1012070050007 1
 
0.4%
1012070050008 1
 
0.4%
1012070020015 1
 
0.4%
1012070020018 1
 
0.4%
1012070020019 1
 
0.4%
1012070020020 1
 
0.4%
Other values (255) 255
96.2%
ValueCountFrequency (%)
1001010010001 1
0.4%
1001010010003 1
0.4%
1001010010004 1
0.4%
1001010010006 1
0.4%
1001010010009 1
0.4%
1001010020010 1
0.4%
1001010020013 1
0.4%
1001010020016 1
0.4%
1001010020017 1
0.4%
1001010020018 1
0.4%
ValueCountFrequency (%)
1012090050074 1
0.4%
1012090050072 1
0.4%
1012090050071 1
0.4%
1012090050041 1
0.4%
1012090050008 1
0.4%
1012090050007 1
0.4%
1012090040070 1
0.4%
1012090040069 1
0.4%
1012090040068 1
0.4%
1012090040067 1
0.4%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
노지
265 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노지
2nd row노지
3rd row노지
4th row노지
5th row노지

Common Values

ValueCountFrequency (%)
노지 265
100.0%

Length

2023-12-11T12:15:50.338939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:15:50.427560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노지 265
100.0%

시설유형 코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
10
265 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 265
100.0%

Length

2023-12-11T12:15:50.515464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:15:50.600028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 265
100.0%

품목 중분류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건고추
40 
배추
37 
양파
36 
콩
33 
벼
31 
Other values (3)
88 

Length

Max length3
Median length2
Mean length1.7962264
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row벼
2nd row벼
3rd row벼
4th row벼
5th row벼

Common Values

ValueCountFrequency (%)
건고추 40
15.1%
배추 37
14.0%
양파 36
13.6%
콩 33
12.5%
벼 31
11.7%
마늘 31
11.7%
무 30
11.3%
감자 27
10.2%

Length

2023-12-11T12:15:50.726919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:15:50.863300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건고추 40
15.1%
배추 37
14.0%
양파 36
13.6%
콩 33
12.5%
벼 31
11.7%
마늘 31
11.7%
무 30
11.3%
감자 27
10.2%

품목 중분류 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean851.52075
Minimum101
Maximum1209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T12:15:50.976275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1501
median1101
Q31207
95-th percentile1209
Maximum1209
Range1108
Interquartile range (IQR)706

Descriptive statistics

Standard deviation421.43088
Coefficient of variation (CV)0.49491557
Kurtosis-1.1804894
Mean851.52075
Median Absolute Deviation (MAD)106
Skewness-0.73608661
Sum225653
Variance177603.99
MonotonicityNot monotonic
2023-12-11T12:15:51.083071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1207 40
15.1%
1001 37
14.0%
1201 36
13.6%
301 33
12.5%
101 31
11.7%
1209 31
11.7%
1101 30
11.3%
501 27
10.2%
ValueCountFrequency (%)
101 31
11.7%
301 33
12.5%
501 27
10.2%
1001 37
14.0%
1101 30
11.3%
1201 36
13.6%
1207 40
15.1%
1209 31
11.7%
ValueCountFrequency (%)
1209 31
11.7%
1207 40
15.1%
1201 36
13.6%
1101 30
11.3%
1001 37
14.0%
501 27
10.2%
301 33
12.5%
101 31
11.7%

프로세스 영역(PA)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
재배관리
77 
육묘관리
51 
일반관리
51 
수확후관리
46 
토양관리
40 

Length

Max length5
Median length4
Mean length4.1735849
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토양관리
2nd row육묘관리
3rd row육묘관리
4th row육묘관리
5th row육묘관리

Common Values

ValueCountFrequency (%)
재배관리 77
29.1%
육묘관리 51
19.2%
일반관리 51
19.2%
수확후관리 46
17.4%
토양관리 40
15.1%

Length

2023-12-11T12:15:51.192397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:15:51.301058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재배관리 77
29.1%
육묘관리 51
19.2%
일반관리 51
19.2%
수확후관리 46
17.4%
토양관리 40
15.1%

PA 코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
77 
2
51 
5
51 
4
46 
1
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
3 77
29.1%
2 51
19.2%
5 51
19.2%
4 46
17.4%
1 40
15.1%

Length

2023-12-11T12:15:51.407125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:15:51.501173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 77
29.1%
2 51
19.2%
5 51
19.2%
4 46
17.4%
1 40
15.1%

농작업(Act)
Text

Distinct74
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T12:15:51.726666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.9433962
Min length2

Characters and Unicode

Total characters1045
Distinct characters121
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

Unique32 ?
Unique (%)12.1%

Sample

1st row토양검정
2nd row종자선별
3rd row종자소독
4th row묘상설치
5th row상토작업
ValueCountFrequency (%)
제거 28
 
8.1%
주기 21
 
6.1%
관수시설 14
 
4.0%
잡초제거 13
 
3.7%
병해충 13
 
3.7%
방제 13
 
3.7%
웃거름 13
 
3.7%
관수 12
 
3.5%
설치 11
 
3.2%
수확 9
 
2.6%
Other values (68) 200
57.6%
2023-12-11T12:15:52.092993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
7.8%
거 66
 
6.3%
제 58
 
5.6%
기 43
 
4.1%
수 35
 
3.3%
주 31
 
3.0%
관 30
 
2.9%
설 29
 
2.8%
토 23
 
2.2%
양 22
 
2.1%
Other values (111) 626
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 961
92.0%
Space Separator 82
 
7.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 66
 
6.9%
제 58
 
6.0%
기 43
 
4.5%
수 35
 
3.6%
주 31
 
3.2%
관 30
 
3.1%
설 29
 
3.0%
토 23
 
2.4%
양 22
 
2.3%
름 21
 
2.2%
Other values (108) 603
62.7%
Space Separator
ValueCountFrequency (%)
82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
92.0%
Common 84
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 66
 
6.9%
제 58
 
6.0%
기 43
 
4.5%
수 35
 
3.6%
주 31
 
3.2%
관 30
 
3.1%
설 29
 
3.0%
토 23
 
2.4%
양 22
 
2.3%
름 21
 
2.2%
Other values (108) 603
62.7%
Common
ValueCountFrequency (%)
82
97.6%
( 1
 
1.2%
) 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 961
92.0%
ASCII 84
 
8.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
97.6%
( 1
 
1.2%
) 1
 
1.2%
Hangul
ValueCountFrequency (%)
거 66
 
6.9%
제 58
 
6.0%
기 43
 
4.5%
수 35
 
3.6%
주 31
 
3.2%
관 30
 
3.1%
설 29
 
3.0%
토 23
 
2.4%
양 22
 
2.3%
름 21
 
2.2%
Other values (108) 603
62.7%

농작업 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct74
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.758491
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T12:15:52.221789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median49
Q358
95-th percentile71
Maximum75
Range74
Interquartile range (IQR)43

Descriptive statistics

Standard deviation24.285123
Coefficient of variation (CV)0.61081603
Kurtosis-1.3663516
Mean39.758491
Median Absolute Deviation (MAD)19
Skewness-0.27783253
Sum10536
Variance589.76721
MonotonicityNot monotonic
2023-12-11T12:15:52.372507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 13
 
4.9%
52 13
 
4.9%
51 13
 
4.9%
54 12
 
4.5%
1 8
 
3.0%
4 8
 
3.0%
3 8
 
3.0%
68 8
 
3.0%
69 8
 
3.0%
70 8
 
3.0%
Other values (64) 166
62.6%
ValueCountFrequency (%)
1 8
3.0%
2 7
2.6%
3 8
3.0%
4 8
3.0%
5 7
2.6%
6 1
 
0.4%
7 7
2.6%
8 7
2.6%
9 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
75 1
 
0.4%
74 4
1.5%
73 1
 
0.4%
72 7
2.6%
71 7
2.6%
70 8
3.0%
69 8
3.0%
68 8
3.0%
67 7
2.6%
66 6
2.3%

농작업 정의
Text

Distinct74
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T12:15:52.716153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length30.10566
Min length15

Characters and Unicode

Total characters7978
Distinct characters267
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

Unique32 ?
Unique (%)12.1%

Sample

1st row시비와 토양개량을 목적으로 토양시료를 채취하여 토양의 물리화학적 성질을 분석하는 작업
2nd row충실한 종자를 가려내는 작업
3rd row병해충 예방을 위해 종자에 부착되어 있는 병균, 해충을 소독하는 작업
4th row모종을 키우기 위해 육묘상을 적절한 곳에 설치하는 작업
5th row상토를 조제 및 소독하여 트레이에 담아주는 작업
ValueCountFrequency (%)
작업 265
 
12.7%
위해 79
 
3.8%
제거하는 51
 
2.4%
있는 39
 
1.9%
주는 33
 
1.6%
작물을 31
 
1.5%
등을 27
 
1.3%
및 22
 
1.1%
거름을 21
 
1.0%
수확한 21
 
1.0%
Other values (329) 1505
71.9%
2023-12-11T12:15:53.278857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1829
22.9%
작 353
 
4.4%
는 325
 
4.1%
을 275
 
3.4%
업 265
 
3.3%
하 210
 
2.6%
를 130
 
1.6%
물 129
 
1.6%
에 126
 
1.6%
해 123
 
1.5%
Other values (257) 4213
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6037
75.7%
Space Separator 1829
 
22.9%
Other Punctuation 70
 
0.9%
Close Punctuation 21
 
0.3%
Open Punctuation 21
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
작 353
 
5.8%
는 325
 
5.4%
을 275
 
4.6%
업 265
 
4.4%
하 210
 
3.5%
를 130
 
2.2%
물 129
 
2.1%
에 126
 
2.1%
해 123
 
2.0%
이 111
 
1.8%
Other values (253) 3990
66.1%
Space Separator
ValueCountFrequency (%)
1829
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6037
75.7%
Common 1941
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
작 353
 
5.8%
는 325
 
5.4%
을 275
 
4.6%
업 265
 
4.4%
하 210
 
3.5%
를 130
 
2.2%
물 129
 
2.1%
에 126
 
2.1%
해 123
 
2.0%
이 111
 
1.8%
Other values (253) 3990
66.1%
Common
ValueCountFrequency (%)
1829
94.2%
, 70
 
3.6%
) 21
 
1.1%
( 21
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6037
75.7%
ASCII 1941
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1829
94.2%
, 70
 
3.6%
) 21
 
1.1%
( 21
 
1.1%
Hangul
ValueCountFrequency (%)
작 353
 
5.8%
는 325
 
5.4%
을 275
 
4.6%
업 265
 
4.4%
하 210
 
3.5%
를 130
 
2.2%
물 129
 
2.1%
에 126
 
2.1%
해 123
 
2.0%
이 111
 
1.8%
Other values (253) 3990
66.1%

유사용어
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
83 
제초, 제초제살포, 김매기
 
13
추비, 덧거름, 시비, 비료
 
13
방제, 농약살포
 
13
수분관리, 물주기
 
12
Other values (43)
131 

Length

Max length23
Median length4
Mean length6.5924528
Min length2

Unique

Unique19 ?
Unique (%)7.2%

Sample

1st row토양분석
2nd row선종, 종자정선
3rd row<NA>
4th row육묘상 설치
5th row상토만들기

Common Values

ValueCountFrequency (%)
<NA> 83
31.3%
제초, 제초제살포, 김매기 13
 
4.9%
추비, 덧거름, 시비, 비료 13
 
4.9%
방제, 농약살포 13
 
4.9%
수분관리, 물주기 12
 
4.5%
토양분석 8
 
3.0%
출하 8
 
3.0%
씨뿌리기 8
 
3.0%
기비, 시비, 비료 8
 
3.0%
로터리, 써레질, 쟁기질, 정지, 땅고르기 8
 
3.0%
Other values (38) 91
34.3%

Length

2023-12-11T12:15:53.449991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 83
 
18.9%
시비 21
 
4.8%
비료 21
 
4.8%
제거 13
 
3.0%
제초 13
 
3.0%
농약살포 13
 
3.0%
방제 13
 
3.0%
덧거름 13
 
3.0%
추비 13
 
3.0%
김매기 13
 
3.0%
Other values (62) 224
50.9%

Interactions

2023-12-11T12:15:49.368312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:48.498334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:49.021801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:49.464846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:48.819759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:49.153489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:49.557596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:48.915056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:15:49.279659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:15:53.565220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농작업 표준코드품목 중분류품목 중분류 코드프로세스 영역(PA)PA 코드농작업(Act)농작업 코드농작업 정의유사용어
농작업 표준코드1.0001.0001.0000.3570.3570.0000.0000.0000.000
품목 중분류1.0001.0001.0000.2640.2640.0000.0000.0000.000
품목 중분류 코드1.0001.0001.0000.3510.3510.0000.0000.0000.000
프로세스 영역(PA)0.3570.2640.3511.0001.0000.9880.9420.9880.980
PA 코드0.3570.2640.3511.0001.0000.9880.9420.9880.980
농작업(Act)0.0000.0000.0000.9880.9881.0001.0001.0001.000
농작업 코드0.0000.0000.0000.9420.9421.0001.0001.0001.000
농작업 정의0.0000.0000.0000.9880.9881.0001.0001.0001.000
유사용어0.0000.0000.0000.9800.9801.0001.0001.0001.000
2023-12-11T12:15:53.717179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유사용어품목 중분류프로세스 영역(PA)PA 코드
유사용어1.0000.0000.7760.776
품목 중분류0.0001.0000.1630.163
프로세스 영역(PA)0.7760.1631.0001.000
PA 코드0.7760.1631.0001.000
2023-12-11T12:15:53.854872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농작업 표준코드품목 중분류 코드농작업 코드품목 중분류프로세스 영역(PA)PA 코드유사용어
농작업 표준코드1.0000.9920.1190.9940.1370.1370.000
품목 중분류 코드0.9921.0000.0310.9940.1370.1370.000
농작업 코드0.1190.0311.0000.0000.6670.6670.886
품목 중분류0.9940.9940.0001.0000.1630.1630.000
프로세스 영역(PA)0.1370.1370.6670.1631.0001.0000.776
PA 코드0.1370.1370.6670.1631.0001.0000.776
유사용어0.0000.0000.8860.0000.7760.7761.000

Missing values

2023-12-11T12:15:49.689464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:15:49.874131image/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

농작업 표준코드시설유형시설유형 코드품목 중분류품목 중분류 코드프로세스 영역(PA)PA 코드농작업(Act)농작업 코드농작업 정의유사용어
01001010010001노지10벼101토양관리1토양검정1시비와 토양개량을 목적으로 토양시료를 채취하여 토양의 물리화학적 성질을 분석하는 작업토양분석
11001010020010노지10벼101육묘관리2종자선별10충실한 종자를 가려내는 작업선종, 종자정선
21001010020013노지10벼101육묘관리2종자소독13병해충 예방을 위해 종자에 부착되어 있는 병균, 해충을 소독하는 작업<NA>
31001010020016노지10벼101육묘관리2묘상설치16모종을 키우기 위해 육묘상을 적절한 곳에 설치하는 작업육묘상 설치
41001010020017노지10벼101육묘관리2상토작업17상토를 조제 및 소독하여 트레이에 담아주는 작업상토만들기
51001010020018노지10벼101육묘관리2침종18발아에 필요한 수분을 공급하기 위해 종자를 물에 적시거나 담그는 작업씨앗담그기
61001010020019노지10벼101육묘관리2최아19발아, 생육촉진을 위해 파종 전에 종자의 싹을 약간 틔워주는 작업싹틔우기
71001010020020노지10벼101육묘관리2파종20종자를 땅속이나 육묘 트레이에 뿌리는 작업씨뿌리기
81001010020026노지10벼101육묘관리2출아작업26파종된 종자의 초엽이 지상으로 출현하도록 관리하는 작업<NA>
91001010020027노지10벼101육묘관리2녹화작업27출아된 백색의 싹을 녹색으로 만들어주는 작업푸른싹 만들기
농작업 표준코드시설유형시설유형 코드품목 중분류품목 중분류 코드프로세스 영역(PA)PA 코드농작업(Act)농작업 코드농작업 정의유사용어
2551005010030057노지10감자501재배관리3줄기 제거57수확 및 토양관리 등을 위해 줄기를 제거하는 작업<NA>
2561005010030058노지10감자501재배관리3수확58재배한 작물을 거두어 들이는 작업<NA>
2571005010040065노지10감자501수확후관리4큐어링65온도, 습도, 환기 등의 조작으로 상처 등을 아물게 하는 작업상처치유
2581005010040066노지10감자501수확후관리4건조66저장을 위해 수확한 작물의 수분을 제거하는 작업<NA>
2591005010040067노지10감자501수확후관리4선별67수확한 작물을 크기나 등급에 따라 구분하는 작업<NA>
2601005010040068노지10감자501수확후관리4저장68환경을 조절하여 수확 및 건조 후 작물을 일정기간 보관하는 작업<NA>
2611005010040069노지10감자501수확후관리4포장69판매를 위해 작물을 포장하는 작업<NA>
2621005010040070노지10감자501수확후관리4판매70수확한 농산물을 수매처나 판매처로 보내는 작업출하
2631005010050071노지10감자501일반관리5멀칭재 제거71포장에 피복되어 있는 비닐 등의 피복재를 제거해주는 작업피복재 제거
2641005010050072노지10감자501일반관리5관수시설 제거72포장에 설치되어 있는 관수시설(호스, 스프링클러 등)을 제거하는 작업<NA>