Overview

Dataset statistics

Number of variables12
Number of observations7910
Missing cells0
Missing cells (%)0.0%
Duplicate rows257
Duplicate rows (%)3.2%
Total size in memory788.0 KiB
Average record size in memory102.0 B

Variable types

Categorical5
Text1
DateTime1
Numeric5

Dataset

Description정부보급종 정선 종자품위 현황으로 년산,지원명,부서명,작물명,품종명,구분,정선일자,정선량,용적중,천립중/백립중,부상율,피해립율 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15066333/fileData.do

Alerts

Dataset has 257 (3.2%) duplicate rowsDuplicates
부서명 is highly overall correlated with 지원명High correlation
지원명 is highly overall correlated with 부서명High correlation
용적중 is highly overall correlated with 천립중_백립중High correlation
천립중_백립중 is highly overall correlated with 용적중High correlation
부상율 is highly overall correlated with 피해립율High correlation
피해립율 is highly overall correlated with 부상율High correlation
작물명 is highly imbalanced (53.5%)Imbalance
천립중_백립중 is highly skewed (γ1 = 28.28934212)Skewed
정선량 has 2429 (30.7%) zerosZeros
용적중 has 2336 (29.5%) zerosZeros
천립중_백립중 has 2335 (29.5%) zerosZeros
부상율 has 4140 (52.3%) zerosZeros
피해립율 has 4288 (54.2%) zerosZeros

Reproduction

Analysis started2023-12-11 23:34:40.518014
Analysis finished2023-12-11 23:34:44.435806
Duration3.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년산
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
2022
2766 
2021
2726 
2020
2418 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2022 2766
35.0%
2021 2726
34.5%
2020 2418
30.6%

Length

2023-12-12T08:34:44.515941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:44.609088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 2766
35.0%
2021 2726
34.5%
2020 2418
30.6%

지원명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
전북지원
1722 
전남지원
1548 
경남지원
936 
경북지원
830 
강원지원
794 
Other values (3)
2080 

Length

Max length7
Median length4
Mean length4.2753477
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북지원 1722
21.8%
전남지원 1548
19.6%
경남지원 936
11.8%
경북지원 830
10.5%
강원지원 794
10.0%
충남지원 746
9.4%
경기종자관리소 726
9.2%
충북지원 608
 
7.7%

Length

2023-12-12T08:34:44.715688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:44.842791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북지원 1722
21.8%
전남지원 1548
19.6%
경남지원 936
11.8%
경북지원 830
10.5%
강원지원 794
10.0%
충남지원 746
9.4%
경기종자관리소 726
9.2%
충북지원 608
 
7.7%

부서명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
<NA>
4720 
정읍
828 
함평
826 
익산
822 
영암
714 

Length

Max length4
Median length4
Mean length3.193426
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4720
59.7%
정읍 828
 
10.5%
함평 826
 
10.4%
익산 822
 
10.4%
영암 714
 
9.0%

Length

2023-12-12T08:34:45.015944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:45.138749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4720
59.7%
정읍 828
 
10.5%
함평 826
 
10.4%
익산 822
 
10.4%
영암 714
 
9.0%

작물명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
벼
5642 
콩
968 
보리
656 
밀
 
500
호밀
 
88
Other values (3)
 
56

Length

Max length6
Median length1
Mean length1.0986094
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
벼 5642
71.3%
콩 968
 
12.2%
보리 656
 
8.3%
밀 500
 
6.3%
호밀 88
 
1.1%
팥 48
 
0.6%
보리(춘파) 4
 
0.1%
밀(비축) 4
 
0.1%

Length

2023-12-12T08:34:45.264972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:45.393823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벼 5642
71.3%
콩 968
 
12.2%
보리 656
 
8.3%
밀 500
 
6.3%
호밀 88
 
1.1%
팥 48
 
0.6%
보리(춘파 4
 
0.1%
밀(비축 4
 
0.1%

품종명
Text

Distinct59
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
2023-12-12T08:34:45.609930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.4697851
Min length2

Characters and Unicode

Total characters27446
Distinct characters78
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

Unique0 ?
Unique (%)0.0%

Sample

1st row고시히카리
2nd row고시히카리
3rd row고시히카리
4th row고시히카리
5th row고시히카리
ValueCountFrequency (%)
신동진벼 850
 
10.7%
삼광벼 752
 
9.5%
대원콩 574
 
7.3%
새청무 528
 
6.7%
추청벼 432
 
5.5%
일품벼 412
 
5.2%
오대벼 400
 
5.1%
영호진미 308
 
3.9%
동진찰벼 294
 
3.7%
새일미벼 276
 
3.5%
Other values (49) 3084
39.0%
2023-12-12T08:34:45.985259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 4208
 
15.3%
진 1506
 
5.5%
동 1144
 
4.2%
새 1128
 
4.1%
대 1074
 
3.9%
청 974
 
3.5%
콩 968
 
3.5%
리 872
 
3.2%
광 864
 
3.1%
신 850
 
3.1%
Other values (68) 13858
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27300
99.5%
Decimal Number 138
 
0.5%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 4208
 
15.4%
진 1506
 
5.5%
동 1144
 
4.2%
새 1128
 
4.1%
대 1074
 
3.9%
청 974
 
3.6%
콩 968
 
3.5%
리 872
 
3.2%
광 864
 
3.2%
신 850
 
3.1%
Other values (65) 13712
50.2%
Decimal Number
ValueCountFrequency (%)
1 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27300
99.5%
Common 146
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 4208
 
15.4%
진 1506
 
5.5%
동 1144
 
4.2%
새 1128
 
4.1%
대 1074
 
3.9%
청 974
 
3.6%
콩 968
 
3.5%
리 872
 
3.2%
광 864
 
3.2%
신 850
 
3.1%
Other values (65) 13712
50.2%
Common
ValueCountFrequency (%)
1 138
94.5%
( 4
 
2.7%
) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27300
99.5%
ASCII 146
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 4208
 
15.4%
진 1506
 
5.5%
동 1144
 
4.2%
새 1128
 
4.1%
대 1074
 
3.9%
청 974
 
3.6%
콩 968
 
3.5%
리 872
 
3.2%
광 864
 
3.2%
신 850
 
3.1%
Other values (65) 13712
50.2%
ASCII
ValueCountFrequency (%)
1 138
94.5%
( 4
 
2.7%
) 4
 
2.7%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
수매후
3955 
정밀정선후
2599 
대략정선후
1356 

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수매후
2nd row대략정선후
3rd row수매후
4th row대략정선후
5th row수매후

Common Values

ValueCountFrequency (%)
수매후 3955
50.0%
정밀정선후 2599
32.9%
대략정선후 1356
 
17.1%

Length

2023-12-12T08:34:46.135401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:46.250189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수매후 3955
50.0%
정밀정선후 2599
32.9%
대략정선후 1356
 
17.1%

정선일자
Date

Distinct553
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
Minimum2020-06-23 00:00:00
Maximum2023-04-21 00:00:00
2023-12-12T08:34:46.649346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:46.815894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

정선량
Real number (ℝ)

ZEROS 

Distinct3417
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51673.568
Minimum-2031
Maximum297773
Zeros2429
Zeros (%)30.7%
Negative112
Negative (%)1.4%
Memory size69.7 KiB
2023-12-12T08:34:46.955370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2031
5-th percentile0
Q10
median32000
Q375876
95-th percentile199965
Maximum297773
Range299804
Interquartile range (IQR)75876

Descriptive statistics

Standard deviation64254.979
Coefficient of variation (CV)1.2434787
Kurtosis1.1704864
Mean51673.568
Median Absolute Deviation (MAD)32000
Skewness1.4278152
Sum4.0873792 × 108
Variance4.1287024 × 109
MonotonicityNot monotonic
2023-12-12T08:34:47.097972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2429
30.7%
32000 29
 
0.4%
30000 24
 
0.3%
9000 18
 
0.2%
12000 18
 
0.2%
34000 18
 
0.2%
15000 18
 
0.2%
80000 17
 
0.2%
100000 16
 
0.2%
35000 15
 
0.2%
Other values (3407) 5308
67.1%
ValueCountFrequency (%)
-2031 1
< 0.1%
-1815 1
< 0.1%
-1704 2
< 0.1%
-1527 1
< 0.1%
-1526 1
< 0.1%
-1513 1
< 0.1%
-1503 1
< 0.1%
-1334 1
< 0.1%
-1323 1
< 0.1%
-1322 1
< 0.1%
ValueCountFrequency (%)
297773 1
< 0.1%
297423 1
< 0.1%
290925 1
< 0.1%
289670 2
< 0.1%
288894 1
< 0.1%
288740 2
< 0.1%
277775 1
< 0.1%
277205 1
< 0.1%
274909 1
< 0.1%
274904 1
< 0.1%

용적중
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2552
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.77656
Minimum0
Maximum6621.6
Zeros2336
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size69.7 KiB
2023-12-12T08:34:47.286098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median609.96
Q3643.7
95-th percentile817.12
Maximum6621.6
Range6621.6
Interquartile range (IQR)643.7

Descriptive statistics

Standard deviation321.90893
Coefficient of variation (CV)0.69112308
Kurtosis25.610924
Mean465.77656
Median Absolute Deviation (MAD)84.49
Skewness0.83464782
Sum3684292.6
Variance103625.36
MonotonicityNot monotonic
2023-12-12T08:34:47.455112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2336
29.5%
593.4 30
 
0.4%
612.5 15
 
0.2%
617.2 14
 
0.2%
610.8 14
 
0.2%
623.2 14
 
0.2%
634.1 13
 
0.2%
630.3 13
 
0.2%
620.8 12
 
0.2%
609.1 12
 
0.2%
Other values (2542) 5437
68.7%
ValueCountFrequency (%)
0.0 2336
29.5%
13.1 2
 
< 0.1%
52.1 1
 
< 0.1%
52.3 1
 
< 0.1%
64.79 1
 
< 0.1%
164.59 1
 
< 0.1%
289.8 1
 
< 0.1%
290.2 1
 
< 0.1%
297.8 1
 
< 0.1%
299.5 1
 
< 0.1%
ValueCountFrequency (%)
6621.6 1
< 0.1%
5886.0 1
< 0.1%
889.0 1
< 0.1%
888.7 1
< 0.1%
888.0 1
< 0.1%
887.5 1
< 0.1%
886.9 1
< 0.1%
885.1 1
< 0.1%
884.9 1
< 0.1%
883.0 1
< 0.1%

천립중_백립중
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1091
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.098662
Minimum0
Maximum2724
Zeros2335
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size69.7 KiB
2023-12-12T08:34:47.610034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24.9
Q327.98
95-th percentile45.5
Maximum2724
Range2724
Interquartile range (IQR)27.98

Descriptive statistics

Standard deviation45.971303
Coefficient of variation (CV)1.9076289
Kurtosis1520.9499
Mean24.098662
Median Absolute Deviation (MAD)4.4
Skewness28.289342
Sum190620.41
Variance2113.3607
MonotonicityNot monotonic
2023-12-12T08:34:47.764818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2335
29.5%
26.1 81
 
1.0%
25.7 65
 
0.8%
25.6 64
 
0.8%
25.1 61
 
0.8%
25.9 61
 
0.8%
26.2 61
 
0.8%
29.1 61
 
0.8%
24.7 57
 
0.7%
26.8 56
 
0.7%
Other values (1081) 5008
63.3%
ValueCountFrequency (%)
0.0 2335
29.5%
7.7 1
 
< 0.1%
8.0 1
 
< 0.1%
8.1 2
 
< 0.1%
8.2 3
 
< 0.1%
8.3 2
 
< 0.1%
8.4 1
 
< 0.1%
8.5 2
 
< 0.1%
8.6 4
 
0.1%
8.7 3
 
< 0.1%
ValueCountFrequency (%)
2724.0 1
< 0.1%
624.0 1
< 0.1%
621.5 1
< 0.1%
306.0 1
< 0.1%
300.0 1
< 0.1%
298.0 2
< 0.1%
297.0 2
< 0.1%
295.0 1
< 0.1%
293.0 2
< 0.1%
292.0 1
< 0.1%

부상율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct264
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49575348
Minimum0
Maximum9.6
Zeros4140
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size69.7 KiB
2023-12-12T08:34:47.917706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.6
95-th percentile2.4
Maximum9.6
Range9.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.94603625
Coefficient of variation (CV)1.9082796
Kurtosis13.42664
Mean0.49575348
Median Absolute Deviation (MAD)0
Skewness3.1253686
Sum3921.41
Variance0.89498458
MonotonicityNot monotonic
2023-12-12T08:34:48.062689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4140
52.3%
0.2 586
 
7.4%
0.1 461
 
5.8%
0.5 190
 
2.4%
0.3 186
 
2.4%
0.4 170
 
2.1%
0.6 165
 
2.1%
1.0 142
 
1.8%
0.7 138
 
1.7%
0.8 137
 
1.7%
Other values (254) 1595
 
20.2%
ValueCountFrequency (%)
0.0 4140
52.3%
0.01 8
 
0.1%
0.02 7
 
0.1%
0.03 1
 
< 0.1%
0.04 3
 
< 0.1%
0.05 1
 
< 0.1%
0.06 1
 
< 0.1%
0.07 1
 
< 0.1%
0.08 6
 
0.1%
0.09 5
 
0.1%
ValueCountFrequency (%)
9.6 1
< 0.1%
9.5 1
< 0.1%
9.4 1
< 0.1%
8.5 1
< 0.1%
8.02 1
< 0.1%
8.0 1
< 0.1%
7.75 1
< 0.1%
7.4 1
< 0.1%
7.31 1
< 0.1%
7.06 1
< 0.1%

피해립율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct97
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13286346
Minimum0
Maximum10.4
Zeros4288
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size69.7 KiB
2023-12-12T08:34:48.238090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.2
95-th percentile0.5
Maximum10.4
Range10.4
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.28355987
Coefficient of variation (CV)2.1342201
Kurtosis247.28984
Mean0.13286346
Median Absolute Deviation (MAD)0
Skewness9.7834352
Sum1050.95
Variance0.080406201
MonotonicityNot monotonic
2023-12-12T08:34:48.409747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4288
54.2%
0.1 1249
 
15.8%
0.2 847
 
10.7%
0.3 411
 
5.2%
0.4 275
 
3.5%
0.5 202
 
2.6%
0.6 102
 
1.3%
0.7 63
 
0.8%
1.0 40
 
0.5%
0.03 39
 
0.5%
Other values (87) 394
 
5.0%
ValueCountFrequency (%)
0.0 4288
54.2%
0.01 9
 
0.1%
0.02 13
 
0.2%
0.03 39
 
0.5%
0.04 14
 
0.2%
0.05 9
 
0.1%
0.06 4
 
0.1%
0.07 23
 
0.3%
0.08 5
 
0.1%
0.09 7
 
0.1%
ValueCountFrequency (%)
10.4 1
 
< 0.1%
5.0 1
 
< 0.1%
4.0 1
 
< 0.1%
3.4 1
 
< 0.1%
3.1 1
 
< 0.1%
3.0 1
 
< 0.1%
2.3 1
 
< 0.1%
2.2 3
 
< 0.1%
2.1 4
0.1%
2.0 8
0.1%

Interactions

2023-12-12T08:34:43.575016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:41.581187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.078097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.548726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.053142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.671606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:41.676551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.173952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.642688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.157357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.783710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:41.790873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.261909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.749752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.266212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.901054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:41.879614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.366543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.850941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.367194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:44.013914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:41.977290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.459150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:42.945640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:34:43.466761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:34:48.526620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년산지원명부서명작물명품종명구분정선량용적중천립중_백립중부상율피해립율
년산1.0000.1040.0080.1400.4370.0000.1170.0160.0480.1540.065
지원명0.1041.0001.0000.3810.9450.0430.4680.2300.1610.2640.127
부서명0.0081.0001.0000.3860.8780.0000.2940.1080.1250.1650.102
작물명0.1400.3810.3861.0000.9930.2120.3340.8040.2210.2240.000
품종명0.4370.9450.8780.9931.0000.2470.6390.7550.4900.4520.188
구분0.0000.0430.0000.2120.2471.0000.5350.1250.0330.3620.146
정선량0.1170.4680.2940.3340.6390.5351.0000.2530.0960.3560.120
용적중0.0160.2300.1080.8040.7550.1250.2531.0000.8980.2250.000
천립중_백립중0.0480.1610.1250.2210.4900.0330.0960.8981.0000.0000.000
부상율0.1540.2640.1650.2240.4520.3620.3560.2250.0001.0000.097
피해립율0.0650.1270.1020.0000.1880.1460.1200.0000.0000.0971.000
2023-12-12T08:34:48.677665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서명지원명구분작물명년산
부서명1.0001.0000.0000.2750.007
지원명1.0001.0000.0270.1350.065
구분0.0000.0271.0000.1370.000
작물명0.2750.1350.1371.0000.089
년산0.0070.0650.0000.0891.000
2023-12-12T08:34:48.825606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정선량용적중천립중_백립중부상율피해립율년산지원명부서명작물명구분
정선량1.000-0.1070.0120.2590.1420.0700.2450.1790.1660.379
용적중-0.1071.0000.7720.0830.2160.0150.1050.0720.4710.118
천립중_백립중0.0120.7721.0000.3270.3670.0450.0730.1180.1000.031
부상율0.2590.0830.3271.0000.7360.0930.1280.1080.1080.233
피해립율0.1420.2160.3670.7361.0000.0270.0710.0410.0000.060
년산0.0700.0150.0450.0930.0271.0000.0650.0070.0890.000
지원명0.2450.1050.0730.1280.0710.0651.0001.0000.1350.027
부서명0.1790.0720.1180.1080.0410.0071.0001.0000.2750.000
작물명0.1660.4710.1000.1080.0000.0890.1350.2751.0000.137
구분0.3790.1180.0310.2330.0600.0000.0270.0000.1371.000

Missing values

2023-12-12T08:34:44.148143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:34:44.326551image/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

년산지원명부서명작물명품종명구분정선일자정선량용적중천립중_백립중부상율피해립율
02020경기종자관리소<NA>벼고시히카리수매후2020-12-111784900.00.00.00.0
12020경기종자관리소<NA>벼고시히카리대략정선후2020-12-111777740.00.00.00.0
22020경기종자관리소<NA>벼고시히카리수매후2020-12-142400.00.00.00.0
32020경기종자관리소<NA>벼고시히카리대략정선후2020-12-14-2400.00.00.00.0
42020경기종자관리소<NA>벼고시히카리수매후2020-12-101200000.00.00.00.0
52020경기종자관리소<NA>벼고시히카리대략정선후2020-12-101195690.00.00.00.0
62020경기종자관리소<NA>벼고시히카리수매후2020-12-101200000.00.00.00.0
72020경기종자관리소<NA>벼고시히카리대략정선후2020-12-101200000.00.00.00.0
82020경기종자관리소<NA>벼고시히카리수매후2020-12-1400.00.00.00.0
92020경기종자관리소<NA>벼고시히카리대략정선후2020-12-1400.00.00.00.0
년산지원명부서명작물명품종명구분정선일자정선량용적중천립중_백립중부상율피해립율
79002022강원지원<NA>콩청아콩수매후2023-03-247040747.3226.520.00.0
79012022강원지원<NA>콩청아콩정밀정선후2023-03-247000751.5426.640.00.0
79022022강원지원<NA>팥아라리팥수매후2023-03-160871.5516.770.00.0
79032022강원지원<NA>팥아라리팥정밀정선후2023-03-160872.3216.830.00.0
79042022강원지원<NA>팥아라리팥수매후2023-03-179760872.4716.390.00.0
79052022강원지원<NA>팥아라리팥정밀정선후2023-03-179700874.3216.650.00.0
79062022강원지원<NA>팥아라리팥수매후2023-03-200854.3816.450.00.0
79072022강원지원<NA>팥아라리팥정밀정선후2023-03-200861.3716.80.00.0
79082022강원지원<NA>팥아라리팥수매후2023-03-210858.4216.210.00.0
79092022강원지원<NA>팥아라리팥정밀정선후2023-03-210860.2416.740.00.0

Duplicate rows

Most frequently occurring

년산지원명부서명작물명품종명구분정선일자정선량용적중천립중_백립중부상율피해립율# duplicates
1012021강원지원<NA>콩대원콩수매후2022-04-0600.00.00.00.012
1052021강원지원<NA>콩대원콩정밀정선후2022-04-0600.00.00.00.012
2032022경기종자관리소<NA>벼참드림수매후2023-03-3000.00.00.00.05
2042022경기종자관리소<NA>벼참드림정밀정선후2023-03-3000.00.00.00.05
1032021강원지원<NA>콩대원콩수매후2022-04-080729.4829.040.00.04
1072021강원지원<NA>콩대원콩정밀정선후2022-04-080751.3430.690.00.04
32020강원지원<NA>벼삼광벼수매후2020-12-0400.00.00.00.03
252020경기종자관리소<NA>벼삼광벼수매후2020-12-081596970.00.00.00.03
262020경기종자관리소<NA>벼삼광벼수매후2020-12-0900.00.00.00.03
432020경기종자관리소<NA>보리재안찰쌀보리수매후2020-09-0400.00.00.00.03