Overview

Dataset statistics

Number of variables3
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory26.5 B

Variable types

Categorical2
Text1

Dataset

Description국립종자원 정부보급종 검사 병 이름 기준 정보
Author농림축산식품부 국립종자원
URLhttps://www.data.go.kr/data/15066222/fileData.do

Reproduction

Analysis started2023-12-12 12:00:45.957296
Analysis finished2023-12-12 12:00:46.245024
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작물명
Categorical

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
벼
10 
봄감자
10 
보리
8 
밀
8 
콩
6 
Other values (2)
10 

Length

Max length3
Median length1
Mean length1.6923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
벼 10
19.2%
봄감자 10
19.2%
보리 8
15.4%
밀 8
15.4%
콩 6
11.5%
팥 6
11.5%
옥수수 4
 
7.7%

Length

2023-12-12T21:00:46.334773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:46.505884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벼 10
19.2%
봄감자 10
19.2%
보리 8
15.4%
밀 8
15.4%
콩 6
11.5%
팥 6
11.5%
옥수수 4
 
7.7%

구분명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
기타병
35 
특정병
17 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특정병
2nd row특정병
3rd row기타병
4th row기타병
5th row기타병

Common Values

ValueCountFrequency (%)
기타병 35
67.3%
특정병 17
32.7%

Length

2023-12-12T21:00:46.643016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:46.755839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타병 35
67.3%
특정병 17
32.7%

병명
Text

Distinct41
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T21:00:47.022930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.3269231
Min length3

Characters and Unicode

Total characters225
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)59.6%

Sample

1st row키다리병
2nd row선충심고병
3rd row도열병
4th row깨씨무늬병
5th row흰잎마름병
ValueCountFrequency (%)
붉은곰팡이병 3
 
5.8%
깨씨무늬병 2
 
3.8%
엽소병 2
 
3.8%
위축병 2
 
3.8%
기타병 2
 
3.8%
겉깜부기병 2
 
3.8%
흰가루병 2
 
3.8%
줄기녹병 2
 
3.8%
좀녹병 2
 
3.8%
탄저병 2
 
3.8%
Other values (31) 31
59.6%
2023-12-12T21:00:47.522139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 48
 
21.3%
기 10
 
4.4%
이 10
 
4.4%
부 6
 
2.7%
스 5
 
2.2%
깜 5
 
2.2%
바 5
 
2.2%
늬 5
 
2.2%
러 5
 
2.2%
마 5
 
2.2%
Other values (65) 121
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 48
 
21.3%
기 10
 
4.4%
이 10
 
4.4%
부 6
 
2.7%
스 5
 
2.2%
깜 5
 
2.2%
바 5
 
2.2%
늬 5
 
2.2%
러 5
 
2.2%
마 5
 
2.2%
Other values (65) 121
53.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 225
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 48
 
21.3%
기 10
 
4.4%
이 10
 
4.4%
부 6
 
2.7%
스 5
 
2.2%
깜 5
 
2.2%
바 5
 
2.2%
늬 5
 
2.2%
러 5
 
2.2%
마 5
 
2.2%
Other values (65) 121
53.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 48
 
21.3%
기 10
 
4.4%
이 10
 
4.4%
부 6
 
2.7%
스 5
 
2.2%
깜 5
 
2.2%
바 5
 
2.2%
늬 5
 
2.2%
러 5
 
2.2%
마 5
 
2.2%
Other values (65) 121
53.8%

Correlations

2023-12-12T21:00:47.654945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물명구분명병명
작물명1.0000.2760.000
구분명0.2761.0000.958
병명0.0000.9581.000
2023-12-12T21:00:47.761230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분명작물명
구분명1.0000.276
작물명0.2761.000
2023-12-12T21:00:47.857115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물명구분명
작물명1.0000.276
구분명0.2761.000

Missing values

2023-12-12T21:00:46.126373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:00:46.202480image/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

작물명구분명병명
0벼특정병키다리병
1벼특정병선충심고병
2벼기타병도열병
3벼기타병깨씨무늬병
4벼기타병흰잎마름병
5벼기타병잎집마름병
6벼기타병줄무늬잎마름병
7벼기타병오갈병
8벼기타병이삭누룩병
9벼기타병세균성알마름병
작물명구분명병명
42밀기타병좀녹병
43밀기타병붉은곰팡이병
44밀기타병위축병
45밀기타병엽고병
46팥특정병콩세균병
47팥특정병위축병
48팥기타병갈반병
49팥기타병엽소병
50팥기타병탄저병
51팥기타병기타병