Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells43
Missing cells (%)19.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory44.0 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description한국농업기술진흥원에서 시행하고 있는 농기계검정 업무에 대한 대상 농기계 정보를 제공하고 있으며, 농업기계의 분류 및 종류 등의 정보를 가지고 있다.
Author한국농업기술진흥원
URLhttps://www.data.go.kr/data/15104615/fileData.do

Alerts

주관기관 has constant value ""Constant
비고 has constant value ""Constant
번호 is highly overall correlated with 분류High correlation
분류 is highly overall correlated with 번호High correlation
비고 has 43 (97.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:55:50.852209
Analysis finished2023-12-12 11:55:51.763734
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T20:55:51.883443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-12T20:55:52.076238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

주관기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
한국농업기술진흥원
44 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국농업기술진흥원 44
100.0%

Length

2023-12-12T20:55:52.249893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:55:52.372780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국농업기술진흥원 44
100.0%

분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
종합검정
22 
안전검정
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합검정 22
50.0%
안전검정 22
50.0%

Length

2023-12-12T20:55:52.541320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:55:52.667445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합검정 22
50.0%
안전검정 22
50.0%

대상
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T20:55:52.919017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length24
Mean length16.022727
Min length3

Characters and Unicode

Total characters705
Distinct characters165
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)95.5%

Sample

1st row농업용 트랙터
2nd row농업용 트랙터 보호구조물(ROPS)
3rd row콤바인
4th row이앙기
5th row정식기
ValueCountFrequency (%)
농업용 16
 
12.9%
트랙터 5
 
4.0%
제외한다 4
 
3.2%
포함한다 4
 
3.2%
자체중량 3
 
2.4%
부착형 3
 
2.4%
미만의 2
 
1.6%
밖에 2
 
1.6%
주행형 2
 
1.6%
전용형 2
 
1.6%
Other values (74) 81
65.3%
2023-12-12T20:55:53.282292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
11.3%
기 37
 
5.2%
용 33
 
4.7%
( 26
 
3.7%
) 26
 
3.7%
농 25
 
3.5%
형 22
 
3.1%
업 22
 
3.1%
주 13
 
1.8%
자 13
 
1.8%
Other values (155) 408
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
76.7%
Space Separator 80
 
11.3%
Open Punctuation 28
 
4.0%
Close Punctuation 28
 
4.0%
Lowercase Letter 16
 
2.3%
Other Punctuation 5
 
0.7%
Uppercase Letter 4
 
0.6%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 37
 
6.8%
용 33
 
6.1%
농 25
 
4.6%
형 22
 
4.1%
업 22
 
4.1%
주 13
 
2.4%
자 13
 
2.4%
다 10
 
1.8%
제 9
 
1.7%
승 9
 
1.7%
Other values (133) 348
64.3%
Lowercase Letter
ValueCountFrequency (%)
r 3
18.8%
e 3
18.8%
l 2
12.5%
o 2
12.5%
a 2
12.5%
m 1
 
6.2%
w 1
 
6.2%
b 1
 
6.2%
d 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
O 1
25.0%
P 1
25.0%
S 1
25.0%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
1 1
33.3%
2 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 26
92.9%
[ 2
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 26
92.9%
] 2
 
7.1%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
75.9%
Common 144
 
20.4%
Latin 20
 
2.8%
Han 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 37
 
6.9%
용 33
 
6.2%
농 25
 
4.7%
형 22
 
4.1%
업 22
 
4.1%
주 13
 
2.4%
자 13
 
2.4%
다 10
 
1.9%
제 9
 
1.7%
승 9
 
1.7%
Other values (127) 342
63.9%
Latin
ValueCountFrequency (%)
r 3
15.0%
e 3
15.0%
l 2
10.0%
o 2
10.0%
a 2
10.0%
m 1
 
5.0%
w 1
 
5.0%
R 1
 
5.0%
O 1
 
5.0%
P 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
80
55.6%
( 26
 
18.1%
) 26
 
18.1%
, 5
 
3.5%
] 2
 
1.4%
[ 2
 
1.4%
4 1
 
0.7%
1 1
 
0.7%
2 1
 
0.7%
Han
ValueCountFrequency (%)
機 1
16.7%
皮 1
16.7%
除 1
16.7%
物 1
16.7%
産 1
16.7%
農 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
75.9%
ASCII 164
 
23.3%
CJK 6
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
48.8%
( 26
 
15.9%
) 26
 
15.9%
, 5
 
3.0%
r 3
 
1.8%
e 3
 
1.8%
] 2
 
1.2%
[ 2
 
1.2%
l 2
 
1.2%
o 2
 
1.2%
Other values (12) 13
 
7.9%
Hangul
ValueCountFrequency (%)
기 37
 
6.9%
용 33
 
6.2%
농 25
 
4.7%
형 22
 
4.1%
업 22
 
4.1%
주 13
 
2.4%
자 13
 
2.4%
다 10
 
1.9%
제 9
 
1.7%
승 9
 
1.7%
Other values (127) 342
63.9%
CJK
ValueCountFrequency (%)
機 1
16.7%
皮 1
16.7%
除 1
16.7%
物 1
16.7%
産 1
16.7%
農 1
16.7%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing43
Missing (%)97.7%
Memory size484.0 B
2023-12-12T20:55:53.419373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row기타장비
ValueCountFrequency (%)
기타장비 1
100.0%
2023-12-12T20:55:53.682483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
25.0%
타 1
25.0%
장 1
25.0%
비 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
25.0%
타 1
25.0%
장 1
25.0%
비 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
25.0%
타 1
25.0%
장 1
25.0%
비 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
25.0%
타 1
25.0%
장 1
25.0%
비 1
25.0%

Interactions

2023-12-12T20:55:51.076733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:55:53.763281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류대상
번호1.0001.0000.933
분류1.0001.0000.000
대상0.9330.0001.000
2023-12-12T20:55:53.846831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류
번호1.0000.900
분류0.9001.000

Missing values

2023-12-12T20:55:51.225989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:55:51.724655image/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

번호주관기관분류대상비고
01한국농업기술진흥원종합검정농업용 트랙터<NA>
12한국농업기술진흥원종합검정농업용 트랙터 보호구조물(ROPS)<NA>
23한국농업기술진흥원종합검정콤바인<NA>
34한국농업기술진흥원종합검정이앙기<NA>
45한국농업기술진흥원종합검정정식기<NA>
56한국농업기술진흥원종합검정농업용 난방기(가스식은 제외)<NA>
67한국농업기술진흥원종합검정농산물건조기<NA>
78한국농업기술진흥원종합검정농산물저온저장고<NA>
89한국농업기술진흥원종합검정가정용 도정기<NA>
910한국농업기술진흥원종합검정농업용 동력운반차(승용형)<NA>
번호주관기관분류대상비고
3435한국농업기술진흥원안전검정농업용 베일러(승용자주형은 제외한다)<NA>
3536한국농업기술진흥원안전검정농업용 절단기<NA>
3637한국농업기술진흥원안전검정베일피복기<NA>
3738한국농업기술진흥원안전검정관리기(보행형)<NA>
3839한국농업기술진흥원안전검정스피드스프레이어(자주형은 제외한다)<NA>
3940한국농업기술진흥원안전검정사료배합기<NA>
4041한국농업기술진흥원안전검정사료공급기(사료급이기)<NA>
4142한국농업기술진흥원안전검정농산물제피기(農産物除皮機)(공기식은 제외한다)<NA>
4243한국농업기술진흥원안전검정탈곡기(주행형)<NA>
4344한국농업기술진흥원안전검정그 밖에 농림축산식품부장관이 필요하다고 인정하는 농업기계기타장비