Overview

Dataset statistics

Number of variables48
Number of observations237
Missing cells1392
Missing cells (%)12.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.1 KiB
Average record size in memory419.6 B

Variable types

Categorical29
Text6
DateTime1
Numeric11
Unsupported1

Dataset

Description년산,지원명,부서명,작물명,품종명,정선일자,생산기관,소집단물량,투입량,정선체규격,정밀정선기진행속도,휀용량,부산물, 집진기, 비중정선기진동속도,비중정선휍용량,비중정선약제,비중정선약제사용량,비중정선청소물, 비중정선현미분리기,비중정선길이선별기,비중정선가벼운종자,비중정선예비선별기,비중정선매우가벼운종자,비중정선소독기,채종포장작업량,보급종격하작업량,작업시간,,청소시간,수매물량,비고,소독량,소독포대수,미소독량,미소독포대수,정선키값,포장재량 등의 정보를 제공합니다.
Author농림축산식품부 국립종자원
URLhttps://www.data.go.kr/data/15066319/fileData.do

Alerts

정밀정선기진행속도 has constant value ""Constant
휀용량 has constant value ""Constant
부산물(하층휀) has constant value ""Constant
부산물(1_3번체(하)) has constant value ""Constant
비중정선기진동속도 has constant value ""Constant
비중정선휍용량 has constant value ""Constant
비중정선약제사용량 has constant value ""Constant
비중정선청소물(상) has constant value ""Constant
비중정선무거운종자(상) has constant value ""Constant
비중정선현미분리기(상) has constant value ""Constant
비중정선길이선별기(상) has constant value ""Constant
비중정선가벼운종자(중) has constant value ""Constant
비중정선예비선별기(중) has constant value ""Constant
비중정선매우가벼운종자 has constant value ""Constant
비중정선소독기 has constant value ""Constant
2교대채종포장작업량 has constant value ""Constant
2교대보급종격하작업량 has constant value ""Constant
수매물량 has constant value ""Constant
소독포대수 has constant value ""Constant
미소독량 has constant value ""Constant
미소독포대수 has constant value ""Constant
집진기 is highly imbalanced (96.1%)Imbalance
정선체규격1번 has 231 (97.5%) missing valuesMissing
정선체규격2번 has 231 (97.5%) missing valuesMissing
정선체규격3번 has 231 (97.5%) missing valuesMissing
정선체규격4번 has 231 (97.5%) missing valuesMissing
정선체규격5번 has 231 (97.5%) missing valuesMissing
비중정선약제 has 237 (100.0%) missing valuesMissing
비중정선약제 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소집단물량 has 164 (69.2%) zerosZeros
부산물(청소물(상)) has 227 (95.8%) zerosZeros
부산물(2_4번체) has 229 (96.6%) zerosZeros
부산물(상층휀(하)) has 230 (97.0%) zerosZeros
부산물(감모) has 228 (96.2%) zerosZeros
1교대채종포장작업량 has 16 (6.8%) zerosZeros
1교대보급종격하작업량 has 175 (73.8%) zerosZeros
소독량 has 105 (44.3%) zerosZeros
포장재량 has 19 (8.0%) zerosZeros

Reproduction

Analysis started2023-12-12 15:15:41.440757
Analysis finished2023-12-12 15:15:41.993708
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년산
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2020
81 
2022
80 
2021
76 

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 (%)
2020 81
34.2%
2022 80
33.8%
2021 76
32.1%

Length

2023-12-13T00:15:42.063992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:42.174237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 81
34.2%
2022 80
33.8%
2021 76
32.1%

지원명
Categorical

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
경남지원
47 
충남지원
46 
경기종자관리소
32 
전북지원
25 
전남지원
25 
Other values (3)
62 

Length

Max length7
Median length4
Mean length4.4050633
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경남지원 47
19.8%
충남지원 46
19.4%
경기종자관리소 32
13.5%
전북지원 25
10.5%
전남지원 25
10.5%
경북지원 24
10.1%
충북지원 21
8.9%
강원지원 17
 
7.2%

Length

2023-12-13T00:15:42.335816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:42.482108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남지원 47
19.8%
충남지원 46
19.4%
경기종자관리소 32
13.5%
전북지원 25
10.5%
전남지원 25
10.5%
경북지원 24
10.1%
충북지원 21
8.9%
강원지원 17
 
7.2%

부서명
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
187 
익산
 
14
함평
 
13
영암
 
12
정읍
 
11

Length

Max length4
Median length4
Mean length3.5780591
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> 187
78.9%
익산 14
 
5.9%
함평 13
 
5.5%
영암 12
 
5.1%
정읍 11
 
4.6%

Length

2023-12-13T00:15:42.648935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:42.790363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
78.9%
익산 14
 
5.9%
함평 13
 
5.5%
영암 12
 
5.1%
정읍 11
 
4.6%

작물명
Categorical

Distinct7
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
벼
97 
콩
66 
보리
45 
밀
22 
밀(비축)
 
3
Other values (2)
 
4

Length

Max length5
Median length1
Mean length1.2447257
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
벼 97
40.9%
콩 66
27.8%
보리 45
19.0%
밀 22
 
9.3%
밀(비축) 3
 
1.3%
팥 3
 
1.3%
호밀 1
 
0.4%

Length

2023-12-13T00:15:42.967373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:43.136846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벼 97
40.9%
콩 66
27.8%
보리 45
19.0%
밀 22
 
9.3%
밀(비축 3
 
1.3%
팥 3
 
1.3%
호밀 1
 
0.4%

품종명
Text

Distinct55
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T00:15:43.410368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5822785
Min length2

Characters and Unicode

Total characters849
Distinct characters75
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

Unique11 ?
Unique (%)4.6%

Sample

1st row고시히카리
2nd row맛드림
3rd row대안벼
4th row추청벼
5th row삼광벼
ValueCountFrequency (%)
대원콩 20
 
8.4%
삼광벼 15
 
6.3%
선풍콩 12
 
5.1%
새금강밀 11
 
4.6%
대찬콩 10
 
4.2%
재안찰쌀보리 9
 
3.8%
큰알보리1호 8
 
3.4%
백강밀 8
 
3.4%
흰찰쌀보리 7
 
3.0%
추청벼 7
 
3.0%
Other values (45) 130
54.9%
2023-12-13T00:15:43.907969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
콩 66
 
7.8%
벼 58
 
6.8%
리 57
 
6.7%
보 46
 
5.4%
대 35
 
4.1%
쌀 30
 
3.5%
새 27
 
3.2%
강 26
 
3.1%
찰 26
 
3.1%
밀 25
 
2.9%
Other values (65) 453
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 841
99.1%
Decimal Number 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
콩 66
 
7.8%
벼 58
 
6.9%
리 57
 
6.8%
보 46
 
5.5%
대 35
 
4.2%
쌀 30
 
3.6%
새 27
 
3.2%
강 26
 
3.1%
찰 26
 
3.1%
밀 25
 
3.0%
Other values (64) 445
52.9%
Decimal Number
ValueCountFrequency (%)
1 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 841
99.1%
Common 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
콩 66
 
7.8%
벼 58
 
6.9%
리 57
 
6.8%
보 46
 
5.5%
대 35
 
4.2%
쌀 30
 
3.6%
새 27
 
3.2%
강 26
 
3.1%
찰 26
 
3.1%
밀 25
 
3.0%
Other values (64) 445
52.9%
Common
ValueCountFrequency (%)
1 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 841
99.1%
ASCII 8
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
콩 66
 
7.8%
벼 58
 
6.9%
리 57
 
6.8%
보 46
 
5.5%
대 35
 
4.2%
쌀 30
 
3.6%
새 27
 
3.2%
강 26
 
3.1%
찰 26
 
3.1%
밀 25
 
3.0%
Other values (64) 445
52.9%
ASCII
ValueCountFrequency (%)
1 8
100.0%

정선일자
Date

Distinct128
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2020-09-04 00:00:00
Maximum2023-04-26 00:00:00
2023-12-13T00:15:44.108386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:15:44.292127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산기관
Categorical

Distinct20
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
경남 농업자원관리원
44 
전남 종자관리소
28 
충남 종자관리소 논산분소
23 
경북 농업자원관리원
22 
경기 종자관리소(생산)
22 
Other values (15)
98 

Length

Max length13
Median length12
Mean length9.2194093
Min length4

Unique

Unique4 ?
Unique (%)1.7%

Sample

1st row경기 종자관리소(생산)
2nd row경기 종자관리소(생산)
3rd row경기 종자관리소(생산)
4th row경기 종자관리소(생산)
5th row경기 종자관리소(생산)

Common Values

ValueCountFrequency (%)
경남 농업자원관리원 44
18.6%
전남 종자관리소 28
11.8%
충남 종자관리소 논산분소 23
9.7%
경북 농업자원관리원 22
9.3%
경기 종자관리소(생산) 22
9.3%
강원 농산물원종장 19
8.0%
충북 농산사업소 19
8.0%
충남 종자관리소 11
 
4.6%
전북 종자사업소 9
 
3.8%
경기 종자관리소(보급) 9
 
3.8%
Other values (10) 31
13.1%

Length

2023-12-13T00:15:44.475160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농업자원관리원 66
14.0%
종자관리소 64
13.6%
경남 44
 
9.3%
충남 34
 
7.2%
경기 31
 
6.6%
전남 28
 
5.9%
논산분소 23
 
4.9%
경북 23
 
4.9%
종자관리소(생산 22
 
4.7%
농산물원종장 21
 
4.5%
Other values (14) 115
24.4%

소집단물량
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1473.4008
Minimum0
Maximum28400
Zeros164
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:44.635376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3460
95-th percentile8055.2
Maximum28400
Range28400
Interquartile range (IQR)460

Descriptive statistics

Standard deviation4104.4792
Coefficient of variation (CV)2.785718
Kurtosis19.395241
Mean1473.4008
Median Absolute Deviation (MAD)0
Skewness4.135603
Sum349196
Variance16846749
MonotonicityNot monotonic
2023-12-13T00:15:44.779525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164
69.2%
280 2
 
0.8%
4790 1
 
0.4%
28400 1
 
0.4%
12 1
 
0.4%
300 1
 
0.4%
1540 1
 
0.4%
5600 1
 
0.4%
2572 1
 
0.4%
6485 1
 
0.4%
Other values (63) 63
 
26.6%
ValueCountFrequency (%)
0 164
69.2%
12 1
 
0.4%
100 1
 
0.4%
140 1
 
0.4%
200 1
 
0.4%
260 1
 
0.4%
280 2
 
0.8%
300 1
 
0.4%
320 1
 
0.4%
330 1
 
0.4%
ValueCountFrequency (%)
28400 1
0.4%
27740 1
0.4%
21150 1
0.4%
19880 1
0.4%
16200 1
0.4%
15885 1
0.4%
15750 1
0.4%
13395 1
0.4%
12650 1
0.4%
11960 1
0.4%

투입량
Real number (ℝ)

Distinct176
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5214.7764
Minimum0
Maximum40340
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:44.992695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile388
Q11360
median3200
Q36720
95-th percentile16668
Maximum40340
Range40340
Interquartile range (IQR)5360

Descriptive statistics

Standard deviation5856.0324
Coefficient of variation (CV)1.122969
Kurtosis8.3182091
Mean5214.7764
Median Absolute Deviation (MAD)2170
Skewness2.4364149
Sum1235902
Variance34293115
MonotonicityNot monotonic
2023-12-13T00:15:45.186954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3600 6
 
2.5%
900 6
 
2.5%
1200 6
 
2.5%
1400 4
 
1.7%
3500 3
 
1.3%
6300 3
 
1.3%
300 3
 
1.3%
990 3
 
1.3%
3960 3
 
1.3%
1440 3
 
1.3%
Other values (166) 197
83.1%
ValueCountFrequency (%)
0 2
0.8%
110 1
 
0.4%
120 1
 
0.4%
130 1
 
0.4%
160 1
 
0.4%
300 3
1.3%
350 1
 
0.4%
360 1
 
0.4%
380 1
 
0.4%
390 1
 
0.4%
ValueCountFrequency (%)
40340 1
0.4%
34080 1
0.4%
28400 1
0.4%
22050 2
0.8%
21150 1
0.4%
20000 2
0.8%
17800 1
0.4%
17520 2
0.8%
17100 1
0.4%
16560 1
0.4%

정선체규격1번
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing231
Missing (%)97.5%
Memory size2.0 KiB
2023-12-13T00:15:45.362387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length7
Min length4

Characters and Unicode

Total characters42
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row22R, 10 3/4, 9 3/4
2nd row19RD
3rd row19/64
4th row19/64
5th row19/64
ValueCountFrequency (%)
19/64 4
40.0%
3/4 2
20.0%
22r 1
 
10.0%
10 1
 
10.0%
9 1
 
10.0%
19rd 1
 
10.0%
2023-12-13T00:15:45.691578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
14.3%
9 6
14.3%
/ 6
14.3%
4 6
14.3%
6 4
9.5%
4
9.5%
2 2
 
4.8%
R 2
 
4.8%
, 2
 
4.8%
3 2
 
4.8%
Other values (2) 2
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27
64.3%
Other Punctuation 8
 
19.0%
Space Separator 4
 
9.5%
Uppercase Letter 3
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
22.2%
9 6
22.2%
4 6
22.2%
6 4
14.8%
2 2
 
7.4%
3 2
 
7.4%
0 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 6
75.0%
, 2
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
R 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
92.9%
Latin 3
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
15.4%
9 6
15.4%
/ 6
15.4%
4 6
15.4%
6 4
10.3%
4
10.3%
2 2
 
5.1%
, 2
 
5.1%
3 2
 
5.1%
0 1
 
2.6%
Latin
ValueCountFrequency (%)
R 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
14.3%
9 6
14.3%
/ 6
14.3%
4 6
14.3%
6 4
9.5%
4
9.5%
2 2
 
4.8%
R 2
 
4.8%
, 2
 
4.8%
3 2
 
4.8%
Other values (2) 2
 
4.8%

정선체규격2번
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing231
Missing (%)97.5%
Memory size2.0 KiB
2023-12-13T00:15:45.862221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length6.3333333
Min length4

Characters and Unicode

Total characters38
Distinct characters11
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row9 3/4, 9 3/4, 18R
2nd row9*3/4
3rd row9/64
4th row9/64
5th row9/64
ValueCountFrequency (%)
9/64 4
40.0%
9 2
20.0%
3/4 2
20.0%
18r 1
 
10.0%
9*3/4 1
 
10.0%
2023-12-13T00:15:46.156185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 7
18.4%
/ 7
18.4%
4 7
18.4%
6 4
10.5%
4
10.5%
3 3
7.9%
, 2
 
5.3%
1 1
 
2.6%
8 1
 
2.6%
R 1
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23
60.5%
Other Punctuation 10
26.3%
Space Separator 4
 
10.5%
Uppercase Letter 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 7
30.4%
4 7
30.4%
6 4
17.4%
3 3
13.0%
1 1
 
4.3%
8 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 7
70.0%
, 2
 
20.0%
* 1
 
10.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
97.4%
Latin 1
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9 7
18.9%
/ 7
18.9%
4 7
18.9%
6 4
10.8%
4
10.8%
3 3
8.1%
, 2
 
5.4%
1 1
 
2.7%
8 1
 
2.7%
* 1
 
2.7%
Latin
ValueCountFrequency (%)
R 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 7
18.4%
/ 7
18.4%
4 7
18.4%
6 4
10.5%
4
10.5%
3 3
7.9%
, 2
 
5.3%
1 1
 
2.6%
8 1
 
2.6%
R 1
 
2.6%

정선체규격3번
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing231
Missing (%)97.5%
Memory size2.0 KiB
2023-12-13T00:15:46.612317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length5.5
Min length1

Characters and Unicode

Total characters33
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row1/13, 1/14, 1/14
2nd row1/13*2/1
3rd row2.1
4th row2
5th row2
ValueCountFrequency (%)
2 2
25.0%
1/14 2
25.0%
1/13 1
12.5%
1/13*2/1 1
12.5%
2.1 1
12.5%
2.05 1
12.5%
2023-12-13T00:15:46.926672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
30.3%
2 5
15.2%
/ 5
15.2%
3 2
 
6.1%
, 2
 
6.1%
2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
* 1
 
3.0%
0 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21
63.6%
Other Punctuation 10
30.3%
Space Separator 2
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
47.6%
2 5
23.8%
3 2
 
9.5%
4 2
 
9.5%
0 1
 
4.8%
5 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 5
50.0%
, 2
 
20.0%
. 2
 
20.0%
* 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
30.3%
2 5
15.2%
/ 5
15.2%
3 2
 
6.1%
, 2
 
6.1%
2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
* 1
 
3.0%
0 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
30.3%
2 5
15.2%
/ 5
15.2%
3 2
 
6.1%
, 2
 
6.1%
2
 
6.1%
4 2
 
6.1%
. 2
 
6.1%
* 1
 
3.0%
0 1
 
3.0%

정선체규격4번
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing231
Missing (%)97.5%
Memory size2.0 KiB
2023-12-13T00:15:47.082048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length6.6666667
Min length4

Characters and Unicode

Total characters40
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)50.0%

Sample

1st row1/13, 1/14, 1/14
2nd row1/13*2/1
3rd row2.15
4th row2.05
5th row2.05
ValueCountFrequency (%)
2.05 3
37.5%
1/14 2
25.0%
1/13 1
 
12.5%
1/13*2/1 1
 
12.5%
2.15 1
 
12.5%
2023-12-13T00:15:47.345419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10
25.0%
2 5
12.5%
/ 5
12.5%
. 4
 
10.0%
5 4
 
10.0%
0 3
 
7.5%
3 2
 
5.0%
, 2
 
5.0%
2
 
5.0%
4 2
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26
65.0%
Other Punctuation 12
30.0%
Space Separator 2
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
38.5%
2 5
19.2%
5 4
 
15.4%
0 3
 
11.5%
3 2
 
7.7%
4 2
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 5
41.7%
. 4
33.3%
, 2
 
16.7%
* 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
25.0%
2 5
12.5%
/ 5
12.5%
. 4
 
10.0%
5 4
 
10.0%
0 3
 
7.5%
3 2
 
5.0%
, 2
 
5.0%
2
 
5.0%
4 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10
25.0%
2 5
12.5%
/ 5
12.5%
. 4
 
10.0%
5 4
 
10.0%
0 3
 
7.5%
3 2
 
5.0%
, 2
 
5.0%
2
 
5.0%
4 2
 
5.0%

정선체규격5번
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing231
Missing (%)97.5%
Memory size2.0 KiB
2023-12-13T00:15:47.519931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length5.8333333
Min length1

Characters and Unicode

Total characters35
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row1/13, 1/14, 1/14
2nd row1/13*2/1
3rd row2.1
4th row2
5th row2.05
ValueCountFrequency (%)
2.1 2
25.0%
1/14 2
25.0%
1/13 1
12.5%
1/13*2/1 1
12.5%
2 1
12.5%
2.05 1
12.5%
2023-12-13T00:15:47.838540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 11
31.4%
2 5
14.3%
/ 5
14.3%
. 3
 
8.6%
3 2
 
5.7%
, 2
 
5.7%
2
 
5.7%
4 2
 
5.7%
* 1
 
2.9%
0 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22
62.9%
Other Punctuation 11
31.4%
Space Separator 2
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
50.0%
2 5
22.7%
3 2
 
9.1%
4 2
 
9.1%
0 1
 
4.5%
5 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 5
45.5%
. 3
27.3%
, 2
 
18.2%
* 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11
31.4%
2 5
14.3%
/ 5
14.3%
. 3
 
8.6%
3 2
 
5.7%
, 2
 
5.7%
2
 
5.7%
4 2
 
5.7%
* 1
 
2.9%
0 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11
31.4%
2 5
14.3%
/ 5
14.3%
. 3
 
8.6%
3 2
 
5.7%
, 2
 
5.7%
2
 
5.7%
4 2
 
5.7%
* 1
 
2.9%
0 1
 
2.9%

정밀정선기진행속도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:47.999647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:48.131033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

휀용량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:48.252495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:48.362096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

부산물(청소물(상))
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5611814
Minimum0
Maximum112
Zeros227
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:48.479304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum112
Range112
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.788876
Coefficient of variation (CV)6.9107124
Kurtosis73.453843
Mean1.5611814
Median Absolute Deviation (MAD)0
Skewness8.349706
Sum370
Variance116.39984
MonotonicityNot monotonic
2023-12-13T00:15:48.634552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 227
95.8%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
19 1
 
0.4%
8 1
 
0.4%
16 1
 
0.4%
92 1
 
0.4%
69 1
 
0.4%
39 1
 
0.4%
ValueCountFrequency (%)
0 227
95.8%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
16 1
 
0.4%
19 1
 
0.4%
39 1
 
0.4%
69 1
 
0.4%
92 1
 
0.4%
ValueCountFrequency (%)
112 1
0.4%
92 1
0.4%
69 1
0.4%
39 1
0.4%
19 1
0.4%
16 1
0.4%
8 1
0.4%
6 1
0.4%
5 1
0.4%
4 1
0.4%

부산물(2_4번체)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0970464
Minimum0
Maximum402
Zeros229
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:48.782510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum402
Range402
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.041867
Coefficient of variation (CV)7.8207234
Kurtosis108.25015
Mean4.0970464
Median Absolute Deviation (MAD)0
Skewness9.7769988
Sum971
Variance1026.6812
MonotonicityNot monotonic
2023-12-13T00:15:48.962264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 229
96.6%
158 2
 
0.8%
171 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%
402 1
 
0.4%
74 1
 
0.4%
ValueCountFrequency (%)
0 229
96.6%
1 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
74 1
 
0.4%
158 2
 
0.8%
171 1
 
0.4%
402 1
 
0.4%
ValueCountFrequency (%)
402 1
 
0.4%
171 1
 
0.4%
158 2
 
0.8%
74 1
 
0.4%
4 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%
0 229
96.6%

부산물(하층휀)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:49.170864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:49.345184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

부산물(상층휀(하))
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72995781
Minimum0
Maximum65
Zeros230
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:49.487972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4759556
Coefficient of variation (CV)7.5017427
Kurtosis97.873695
Mean0.72995781
Median Absolute Deviation (MAD)0
Skewness9.4486889
Sum173
Variance29.98609
MonotonicityNot monotonic
2023-12-13T00:15:49.628068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 230
97.0%
17 1
 
0.4%
44 1
 
0.4%
14 1
 
0.4%
8 1
 
0.4%
3 1
 
0.4%
22 1
 
0.4%
65 1
 
0.4%
ValueCountFrequency (%)
0 230
97.0%
3 1
 
0.4%
8 1
 
0.4%
14 1
 
0.4%
17 1
 
0.4%
22 1
 
0.4%
44 1
 
0.4%
65 1
 
0.4%
ValueCountFrequency (%)
65 1
 
0.4%
44 1
 
0.4%
22 1
 
0.4%
17 1
 
0.4%
14 1
 
0.4%
8 1
 
0.4%
3 1
 
0.4%
0 230
97.0%

집진기
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
236 
36
 
1

Length

Max length2
Median length1
Mean length1.0042194
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 236
99.6%
36 1
 
0.4%

Length

2023-12-13T00:15:49.764456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:49.875335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 236
99.6%
36 1
 
0.4%

부산물(1_3번체(하))
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:49.987866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:50.113925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

부산물(감모)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4008439
Minimum0
Maximum200
Zeros228
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:50.212944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum200
Range200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.656333
Coefficient of variation (CV)9.7486471
Kurtosis192.85626
Mean1.4008439
Median Absolute Deviation (MAD)0
Skewness13.495376
Sum332
Variance186.49542
MonotonicityNot monotonic
2023-12-13T00:15:50.333035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 228
96.2%
10 2
 
0.8%
7 2
 
0.8%
6 1
 
0.4%
60 1
 
0.4%
200 1
 
0.4%
20 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
0 228
96.2%
6 1
 
0.4%
7 2
 
0.8%
10 2
 
0.8%
12 1
 
0.4%
20 1
 
0.4%
60 1
 
0.4%
200 1
 
0.4%
ValueCountFrequency (%)
200 1
 
0.4%
60 1
 
0.4%
20 1
 
0.4%
12 1
 
0.4%
10 2
 
0.8%
7 2
 
0.8%
6 1
 
0.4%
0 228
96.2%

비중정선기진동속도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:50.482312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:50.579635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선휍용량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:50.679276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:50.773824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선약제
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

비중정선약제사용량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:50.867288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:50.972724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선청소물(상)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:51.073141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:51.170179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선무거운종자(상)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:51.278953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:51.375120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선현미분리기(상)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:51.472613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:51.561913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선길이선별기(상)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:51.655289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:51.738702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선가벼운종자(중)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:51.823613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:51.920501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선예비선별기(중)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:52.011918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:52.101106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선매우가벼운종자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:52.221068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:52.346534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

비중정선소독기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:52.441523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:52.530642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

1교대채종포장작업량
Real number (ℝ)

ZEROS 

Distinct170
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4273.3207
Minimum0
Maximum22050
Zeros16
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:52.633995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11100
median2320
Q35755
95-th percentile14590
Maximum22050
Range22050
Interquartile range (IQR)4655

Descriptive statistics

Standard deviation4744.1392
Coefficient of variation (CV)1.1101763
Kurtosis1.9176505
Mean4273.3207
Median Absolute Deviation (MAD)1640
Skewness1.5871414
Sum1012777
Variance22506857
MonotonicityNot monotonic
2023-12-13T00:15:52.765416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
6.8%
900 8
 
3.4%
1200 6
 
2.5%
990 3
 
1.3%
3780 3
 
1.3%
1440 3
 
1.3%
3960 3
 
1.3%
3600 3
 
1.3%
300 3
 
1.3%
1111 3
 
1.3%
Other values (160) 186
78.5%
ValueCountFrequency (%)
0 16
6.8%
110 1
 
0.4%
120 1
 
0.4%
130 1
 
0.4%
160 1
 
0.4%
300 3
 
1.3%
350 1
 
0.4%
360 1
 
0.4%
390 1
 
0.4%
400 2
 
0.8%
ValueCountFrequency (%)
22050 1
0.4%
21450 1
0.4%
19150 1
0.4%
17800 1
0.4%
17520 2
0.8%
17100 1
0.4%
16560 1
0.4%
16200 1
0.4%
15780 1
0.4%
15750 2
0.8%

1교대보급종격하작업량
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean953.64135
Minimum0
Maximum27740
Zeros175
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:52.905478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3140
95-th percentile5208.6
Maximum27740
Range27740
Interquartile range (IQR)140

Descriptive statistics

Standard deviation3084.2463
Coefficient of variation (CV)3.2341785
Kurtosis34.912643
Mean953.64135
Median Absolute Deviation (MAD)0
Skewness5.3859872
Sum226013
Variance9512575.5
MonotonicityNot monotonic
2023-12-13T00:15:53.056981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
73.8%
1020 2
 
0.8%
312 2
 
0.8%
580 2
 
0.8%
4250 2
 
0.8%
200 2
 
0.8%
289 1
 
0.4%
16750 1
 
0.4%
380 1
 
0.4%
460 1
 
0.4%
Other values (48) 48
 
20.3%
ValueCountFrequency (%)
0 175
73.8%
10 1
 
0.4%
100 1
 
0.4%
140 1
 
0.4%
200 2
 
0.8%
267 1
 
0.4%
280 1
 
0.4%
289 1
 
0.4%
312 2
 
0.8%
320 1
 
0.4%
ValueCountFrequency (%)
27740 1
0.4%
19880 1
0.4%
16750 1
0.4%
15885 1
0.4%
12650 1
0.4%
11084 1
0.4%
6600 1
0.4%
6485 1
0.4%
6420 1
0.4%
5600 1
0.4%

1교대작업시작시간
Categorical

Distinct18
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
09:00
110 
14:00
25 
13:00
20 
16:00
16 
15:00
13 
Other values (13)
53 

Length

Max length5
Median length5
Mean length4.9620253
Min length4

Unique

Unique3 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
09:00 110
46.4%
14:00 25
 
10.5%
13:00 20
 
8.4%
16:00 16
 
6.8%
15:00 13
 
5.5%
00:00 10
 
4.2%
<NA> 9
 
3.8%
10:00 7
 
3.0%
08:30 5
 
2.1%
11:00 4
 
1.7%
Other values (8) 18
 
7.6%

Length

2023-12-13T00:15:53.184237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00 110
46.4%
14:00 25
 
10.5%
13:00 20
 
8.4%
16:00 16
 
6.8%
15:00 13
 
5.5%
00:00 10
 
4.2%
na 9
 
3.8%
10:00 7
 
3.0%
08:30 5
 
2.1%
09:30 4
 
1.7%
Other values (8) 18
 
7.6%

1교대작업종료시간
Categorical

Distinct18
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
18:00
94 
17:00
29 
12:00
21 
15:00
20 
11:00
15 
Other values (13)
58 

Length

Max length5
Median length5
Mean length4.9409283
Min length4

Unique

Unique3 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
18:00 94
39.7%
17:00 29
 
12.2%
12:00 21
 
8.9%
15:00 20
 
8.4%
11:00 15
 
6.3%
16:00 9
 
3.8%
<NA> 9
 
3.8%
10:00 7
 
3.0%
14:00 7
 
3.0%
13:00 6
 
2.5%
Other values (8) 20
 
8.4%

Length

2023-12-13T00:15:53.293862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 94
39.7%
17:00 29
 
12.2%
12:00 21
 
8.9%
15:00 20
 
8.4%
11:00 15
 
6.3%
16:00 9
 
3.8%
na 9
 
3.8%
10:00 7
 
3.0%
14:00 7
 
3.0%
13:00 6
 
2.5%
Other values (8) 20
 
8.4%

2교대채종포장작업량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:53.397214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:53.478300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

2교대보급종격하작업량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:53.561090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:53.639615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

수매물량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:53.718545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:53.797383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

소독량
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2712.0633
Minimum0
Maximum22050
Zeros105
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:53.886805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median660
Q33780
95-th percentile13261.4
Maximum22050
Range22050
Interquartile range (IQR)3780

Descriptive statistics

Standard deviation4372.5468
Coefficient of variation (CV)1.6122584
Kurtosis4.4767407
Mean2712.0633
Median Absolute Deviation (MAD)660
Skewness2.1344956
Sum642759
Variance19119166
MonotonicityNot monotonic
2023-12-13T00:15:53.999610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
44.3%
1200 5
 
2.1%
900 4
 
1.7%
990 3
 
1.3%
3780 3
 
1.3%
3960 2
 
0.8%
300 2
 
0.8%
600 2
 
0.8%
9100 2
 
0.8%
1030 2
 
0.8%
Other values (98) 107
45.1%
ValueCountFrequency (%)
0 105
44.3%
110 1
 
0.4%
120 1
 
0.4%
130 1
 
0.4%
280 1
 
0.4%
300 2
 
0.8%
330 1
 
0.4%
390 1
 
0.4%
438 2
 
0.8%
551 1
 
0.4%
ValueCountFrequency (%)
22050 1
0.4%
21450 1
0.4%
17800 1
0.4%
17520 2
0.8%
16560 1
0.4%
16200 1
0.4%
14300 1
0.4%
14040 1
0.4%
13950 1
0.4%
13620 1
0.4%

소독포대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:54.113377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:54.195659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

미소독량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:54.279881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:54.360429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

미소독포대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 237
100.0%

Length

2023-12-13T00:15:54.444135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:15:54.524863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
100.0%

정선키값
Real number (ℝ)

Distinct233
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1958.8692
Minimum1790
Maximum2162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:54.620774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1790
5-th percentile1802.6
Q11877
median1960
Q32047
95-th percentile2105.2
Maximum2162
Range372
Interquartile range (IQR)170

Descriptive statistics

Standard deviation99.175434
Coefficient of variation (CV)0.050628921
Kurtosis-1.0282658
Mean1958.8692
Median Absolute Deviation (MAD)85
Skewness0.10357551
Sum464252
Variance9835.7667
MonotonicityNot monotonic
2023-12-13T00:15:55.126244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1889 2
 
0.8%
1876 2
 
0.8%
1930 2
 
0.8%
2060 2
 
0.8%
2053 1
 
0.4%
2089 1
 
0.4%
1942 1
 
0.4%
2058 1
 
0.4%
2056 1
 
0.4%
1952 1
 
0.4%
Other values (223) 223
94.1%
ValueCountFrequency (%)
1790 1
0.4%
1791 1
0.4%
1792 1
0.4%
1793 1
0.4%
1794 1
0.4%
1795 1
0.4%
1796 1
0.4%
1797 1
0.4%
1798 1
0.4%
1799 1
0.4%
ValueCountFrequency (%)
2162 1
0.4%
2161 1
0.4%
2160 1
0.4%
2158 1
0.4%
2157 1
0.4%
2156 1
0.4%
2155 1
0.4%
2153 1
0.4%
2111 1
0.4%
2110 1
0.4%

포장재량
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.52321
Minimum0
Maximum2017
Zeros19
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:15:55.303034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q198
median198
Q3406
95-th percentile1084.6
Maximum2017
Range2017
Interquartile range (IQR)308

Descriptive statistics

Standard deviation371.48676
Coefficient of variation (CV)1.1104962
Kurtosis4.4618436
Mean334.52321
Median Absolute Deviation (MAD)127
Skewness2.0142742
Sum79282
Variance138002.41
MonotonicityNot monotonic
2023-12-13T00:15:55.480018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
8.0%
180 5
 
2.1%
240 5
 
2.1%
75 5
 
2.1%
198 5
 
2.1%
120 4
 
1.7%
105 4
 
1.7%
160 3
 
1.3%
175 3
 
1.3%
192 3
 
1.3%
Other values (153) 181
76.4%
ValueCountFrequency (%)
0 19
8.0%
7 1
 
0.4%
8 1
 
0.4%
15 1
 
0.4%
18 1
 
0.4%
19 1
 
0.4%
22 1
 
0.4%
23 1
 
0.4%
24 1
 
0.4%
33 1
 
0.4%
ValueCountFrequency (%)
2017 1
0.4%
1820 1
0.4%
1790 1
0.4%
1720 1
0.4%
1704 1
0.4%
1420 1
0.4%
1392 1
0.4%
1244 1
0.4%
1200 1
0.4%
1128 1
0.4%

Sample

년산지원명부서명작물명품종명정선일자생산기관소집단물량투입량정선체규격1번정선체규격2번정선체규격3번정선체규격4번정선체규격5번정밀정선기진행속도휀용량부산물(청소물(상))부산물(2_4번체)부산물(하층휀)부산물(상층휀(하))집진기부산물(1_3번체(하))부산물(감모)비중정선기진동속도비중정선휍용량비중정선약제비중정선약제사용량비중정선청소물(상)비중정선무거운종자(상)비중정선현미분리기(상)비중정선길이선별기(상)비중정선가벼운종자(중)비중정선예비선별기(중)비중정선매우가벼운종자비중정선소독기1교대채종포장작업량1교대보급종격하작업량1교대작업시작시간1교대작업종료시간2교대채종포장작업량2교대보급종격하작업량수매물량소독량소독포대수미소독량미소독포대수정선키값포장재량
02020경기종자관리소<NA>벼고시히카리2021-03-18경기 종자관리소(생산)04050<NA><NA><NA><NA><NA>00000000000<NA>00000000040500<NA><NA>00041500001870208
12020경기종자관리소<NA>벼맛드림2021-03-18경기 종자관리소(생산)01125<NA><NA><NA><NA><NA>00000000000<NA>00000000011250<NA><NA>0001145000185757
22020경기종자관리소<NA>벼대안벼2021-03-17경기 종자관리소(생산)02700<NA><NA><NA><NA><NA>00000000000<NA>00000000027000<NA><NA>00027200001858137
32020경기종자관리소<NA>벼추청벼2021-03-17경기 종자관리소(생산)017100<NA><NA><NA><NA><NA>00000000000<NA>000000000171000<NA><NA>000136200001860871
42020경기종자관리소<NA>벼삼광벼2021-03-19경기 종자관리소(생산)03150<NA><NA><NA><NA><NA>00000000000<NA>00000000031500<NA><NA>00027600001866160
52020경기종자관리소<NA>벼하이아미2021-03-19경기 종자관리소(생산)01800<NA><NA><NA><NA><NA>00000000000<NA>00000000018000<NA><NA>0000000186892
62020경기종자관리소<NA>벼보람찰벼2021-03-18경기 종자관리소(생산)0350<NA><NA><NA><NA><NA>00000000000<NA>0000000003500<NA><NA>000330000186318
72020경기종자관리소<NA>벼참드림2021-03-19경기 종자관리소(생산)05040<NA><NA><NA><NA><NA>00000000000<NA>00000000050400<NA><NA>00055200001867276
82020경기종자관리소<NA>보리새찰쌀보리2020-10-07경기 종자관리소(보급)00<NA><NA><NA><NA><NA>00000000000<NA>0000000003780013:0017:0000037800001826189
92020경기종자관리소<NA>보리재안찰쌀보리2020-10-07경기 종자관리소(보급)00<NA><NA><NA><NA><NA>00000000000<NA>000000000810013:0017:00000810000182741
년산지원명부서명작물명품종명정선일자생산기관소집단물량투입량정선체규격1번정선체규격2번정선체규격3번정선체규격4번정선체규격5번정밀정선기진행속도휀용량부산물(청소물(상))부산물(2_4번체)부산물(하층휀)부산물(상층휀(하))집진기부산물(1_3번체(하))부산물(감모)비중정선기진동속도비중정선휍용량비중정선약제비중정선약제사용량비중정선청소물(상)비중정선무거운종자(상)비중정선현미분리기(상)비중정선길이선별기(상)비중정선가벼운종자(중)비중정선예비선별기(중)비중정선매우가벼운종자비중정선소독기1교대채종포장작업량1교대보급종격하작업량1교대작업시작시간1교대작업종료시간2교대채종포장작업량2교대보급종격하작업량수매물량소독량소독포대수미소독량미소독포대수정선키값포장재량
2272022경남지원<NA>보리큰알보리1호2022-09-01경남 농업자원관리원05080<NA><NA><NA><NA><NA>00000000000<NA>0000000005080016:0018:00000508000020110
2282022경남지원<NA>콩대원콩2023-04-04전남 종자관리소01200<NA><NA><NA><NA><NA>00000000000<NA>0000000001200009:0010:0000012000002098240
2292022경남지원<NA>콩선풍콩2023-04-07충북 농산사업소01140<NA><NA><NA><NA><NA>00000000000<NA>0000000001140014:3015:3000011400002107230
2302022경남지원<NA>밀백강밀2022-09-26경남 농업자원관리원07900<NA><NA><NA><NA><NA>00000000000<NA>0000000007900015:0018:00000790000020440
2312022경남지원<NA>밀백강밀2022-09-27경남 농업자원관리원013267<NA><NA><NA><NA><NA>00000000000<NA>00000000013267009:0015:000001326700020450
2322022강원지원<NA>벼오대벼2023-02-02강원 농산물원종장09625<NA><NA><NA><NA><NA>00000000000<NA>0000000009625009:0018:0000000002052482
2332022강원지원<NA>벼삼광벼2023-03-13강원 농산물원종장03300<NA><NA><NA><NA><NA>00000000000<NA>0000000003300009:0018:0000000002062165
2342022강원지원<NA>콩대원콩2023-04-04강원 농산물원종장05220<NA><NA><NA><NA><NA>00000000000<NA>0000000005220009:0018:00000522000021011044
2352022강원지원<NA>콩청아콩2023-03-22강원 농산물원종장01320<NA><NA><NA><NA><NA>00000000000<NA>0000000001320009:0018:0000013200002090264
2362022강원지원<NA>팥아라리팥2023-03-21강원 농산물원종장01150<NA><NA><NA><NA><NA>00000000000<NA>0000000001150009:0018:0000000002072230