Overview

Dataset statistics

Number of variables4
Number of observations228
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory32.6 B

Variable types

Text2
Categorical2

Reproduction

Analysis started2024-01-09 22:39:23.394331
Analysis finished2024-01-09 22:39:23.740161
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비분류
Text

Distinct64
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T07:39:23.874485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length9.8245614
Min length3

Characters and Unicode

Total characters2240
Distinct characters123
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

Unique26 ?
Unique (%)11.4%

Sample

1st row곡물적재함
2nd row과수인공교배기 (과수인공교배기(융자미지원))
3rd row구굴기 (농업용트랙터)
4th row굴삭기 (농업용굴삭기)
5th row논두렁조성기 (농업용트랙터)
ValueCountFrequency (%)
농업용트랙터 110
30.7%
플라우 28
 
7.8%
수확기 21
 
5.9%
동력탈곡기 17
 
4.7%
퇴비살포기 15
 
4.2%
로타베이터 13
 
3.6%
보행경운기 10
 
2.8%
휴립복토기 9
 
2.5%
보행관리기 9
 
2.5%
파종기 9
 
2.5%
Other values (53) 117
32.7%
2024-01-10T07:39:24.174477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 191
 
8.5%
) 134
 
6.0%
( 134
 
6.0%
용 133
 
5.9%
130
 
5.8%
농 129
 
5.8%
터 123
 
5.5%
업 121
 
5.4%
트 112
 
5.0%
랙 110
 
4.9%
Other values (113) 923
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1842
82.2%
Close Punctuation 134
 
6.0%
Open Punctuation 134
 
6.0%
Space Separator 130
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 191
 
10.4%
용 133
 
7.2%
농 129
 
7.0%
터 123
 
6.7%
업 121
 
6.6%
트 112
 
6.1%
랙 110
 
6.0%
동 46
 
2.5%
력 46
 
2.5%
우 30
 
1.6%
Other values (110) 801
43.5%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Space Separator
ValueCountFrequency (%)
130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1842
82.2%
Common 398
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 191
 
10.4%
용 133
 
7.2%
농 129
 
7.0%
터 123
 
6.7%
업 121
 
6.6%
트 112
 
6.1%
랙 110
 
6.0%
동 46
 
2.5%
력 46
 
2.5%
우 30
 
1.6%
Other values (110) 801
43.5%
Common
ValueCountFrequency (%)
) 134
33.7%
( 134
33.7%
130
32.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1842
82.2%
ASCII 398
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 191
 
10.4%
용 133
 
7.2%
농 129
 
7.0%
터 123
 
6.7%
업 121
 
6.6%
트 112
 
6.1%
랙 110
 
6.0%
동 46
 
2.5%
력 46
 
2.5%
우 30
 
1.6%
Other values (110) 801
43.5%
ASCII
ValueCountFrequency (%)
) 134
33.7%
( 134
33.7%
130
32.7%

장비형식
Text

Distinct220
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T07:39:24.385134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.3333333
Min length2

Characters and Unicode

Total characters1672
Distinct characters177
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)93.0%

Sample

1st row2톤
2nd row60cc
3rd row로타리형/60CM
4th row0020㎥
5th row대형
ValueCountFrequency (%)
1조 4
 
1.7%
점파 3
 
1.2%
150cm 2
 
0.8%
165cm 2
 
0.8%
피복기 2
 
0.8%
1두둑 2
 
0.8%
잔가지파쇄기 2
 
0.8%
콩 2
 
0.8%
2조 2
 
0.8%
100cm 2
 
0.8%
Other values (212) 217
90.4%
2024-01-10T07:39:24.727589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
 
8.7%
/ 99
 
5.9%
5 68
 
4.1%
( 65
 
3.9%
) 65
 
3.9%
1 64
 
3.8%
기 48
 
2.9%
2 46
 
2.8%
m 40
 
2.4%
6 38
 
2.3%
Other values (167) 993
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
44.3%
Decimal Number 457
27.3%
Other Punctuation 132
 
7.9%
Lowercase Letter 131
 
7.8%
Open Punctuation 65
 
3.9%
Close Punctuation 65
 
3.9%
Uppercase Letter 64
 
3.8%
Space Separator 12
 
0.7%
Other Symbol 4
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 48
 
6.5%
형 33
 
4.5%
련 29
 
3.9%
용 23
 
3.1%
식 23
 
3.1%
콩 22
 
3.0%
이 20
 
2.7%
조 18
 
2.4%
마 17
 
2.3%
전 17
 
2.3%
Other values (131) 490
66.2%
Decimal Number
ValueCountFrequency (%)
0 146
31.9%
5 68
14.9%
1 64
14.0%
2 46
 
10.1%
6 38
 
8.3%
3 34
 
7.4%
4 30
 
6.6%
8 16
 
3.5%
7 12
 
2.6%
9 3
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
m 40
30.5%
c 35
26.7%
g 20
15.3%
k 20
15.3%
t 8
 
6.1%
ℓ 6
 
4.6%
n 1
 
0.8%
i 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 16
25.0%
H 16
25.0%
C 11
17.2%
M 10
15.6%
L 3
 
4.7%
K 3
 
4.7%
G 3
 
4.7%
Ø 2
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 99
75.0%
. 20
 
15.2%
, 13
 
9.8%
Other Symbol
ValueCountFrequency (%)
㎝ 2
50.0%
㎏ 1
25.0%
㎥ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 743
44.4%
Hangul 740
44.3%
Latin 189
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 48
 
6.5%
형 33
 
4.5%
련 29
 
3.9%
용 23
 
3.1%
식 23
 
3.1%
콩 22
 
3.0%
이 20
 
2.7%
조 18
 
2.4%
마 17
 
2.3%
전 17
 
2.3%
Other values (131) 490
66.2%
Common
ValueCountFrequency (%)
0 146
19.7%
/ 99
13.3%
5 68
9.2%
( 65
8.7%
) 65
8.7%
1 64
8.6%
2 46
 
6.2%
6 38
 
5.1%
3 34
 
4.6%
4 30
 
4.0%
Other values (11) 88
11.8%
Latin
ValueCountFrequency (%)
m 40
21.2%
c 35
18.5%
g 20
10.6%
k 20
10.6%
P 16
 
8.5%
H 16
 
8.5%
C 11
 
5.8%
M 10
 
5.3%
t 8
 
4.2%
L 3
 
1.6%
Other values (5) 10
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
55.0%
Hangul 740
44.3%
Letterlike Symbols 6
 
0.4%
CJK Compat 4
 
0.2%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
15.9%
/ 99
 
10.8%
5 68
 
7.4%
( 65
 
7.1%
) 65
 
7.1%
1 64
 
7.0%
2 46
 
5.0%
m 40
 
4.3%
6 38
 
4.1%
c 35
 
3.8%
Other values (21) 254
27.6%
Hangul
ValueCountFrequency (%)
기 48
 
6.5%
형 33
 
4.5%
련 29
 
3.9%
용 23
 
3.1%
식 23
 
3.1%
콩 22
 
3.0%
이 20
 
2.7%
조 18
 
2.4%
마 17
 
2.3%
전 17
 
2.3%
Other values (131) 490
66.2%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 6
100.0%
CJK Compat
ValueCountFrequency (%)
㎝ 2
50.0%
㎏ 1
25.0%
㎥ 1
25.0%
None
ValueCountFrequency (%)
Ø 2
100.0%

보유대수
Categorical

Distinct13
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1 대
88 
2 대
69 
3 대
21 
4 대
19 
5 대
15 
Other values (8)
16 

Length

Max length4
Median length3
Mean length3.0307018
Min length3

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row1 대
2nd row9 대
3rd row1 대
4th row2 대
5th row20 대

Common Values

ValueCountFrequency (%)
1 대 88
38.6%
2 대 69
30.3%
3 대 21
 
9.2%
4 대 19
 
8.3%
5 대 15
 
6.6%
10 대 4
 
1.8%
9 대 3
 
1.3%
8 대 2
 
0.9%
7 대 2
 
0.9%
6 대 2
 
0.9%
Other values (3) 3
 
1.3%

Length

2024-01-10T07:39:24.851718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 228
50.0%
1 88
 
19.3%
2 69
 
15.1%
3 21
 
4.6%
4 19
 
4.2%
5 15
 
3.3%
10 4
 
0.9%
9 3
 
0.7%
8 2
 
0.4%
7 2
 
0.4%
Other values (4) 5
 
1.1%

사용료
Categorical

Distinct28
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
15,000원 / 1일
98 
20,000원 / 1일
40 
10,000원 / 1일
31 
5,000원 / 1일
31 
60,000원 / 1일
 
3
Other values (23)
25 

Length

Max length21
Median length12
Mean length12.118421
Min length7

Unique

Unique21 ?
Unique (%)9.2%

Sample

1st row15,000원 / 1일
2nd row5,000원 / 1일
3rd row15,000원 / 1일
4th row75,000원 / 1일
5th row15,000원 / 1일

Common Values

ValueCountFrequency (%)
15,000원 / 1일 98
43.0%
20,000원 / 1일 40
17.5%
10,000원 / 1일 31
 
13.6%
5,000원 / 1일 31
 
13.6%
60,000원 / 1일 3
 
1.3%
84,000원 / 1일 2
 
0.9%
5,000 ~ 10,000원 / 1일 2
 
0.9%
43,000원 / 1일 1
 
0.4%
36,000원 / 1일 1
 
0.4%
7,500 ~ 15,000원 / 1일 1
 
0.4%
Other values (18) 18
 
7.9%

Length

2024-01-10T07:39:25.210116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
235
33.7%
1일 226
32.4%
15,000원 99
14.2%
20,000원 41
 
5.9%
10,000원 33
 
4.7%
5,000원 31
 
4.4%
60,000원 3
 
0.4%
0원 2
 
0.3%
15,000 2
 
0.3%
30,000원 2
 
0.3%
Other values (22) 24
 
3.4%

Correlations

2024-01-10T07:39:25.274330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비분류보유대수사용료
장비분류1.0000.0000.975
보유대수0.0001.0000.000
사용료0.9750.0001.000
2024-01-10T07:39:25.346595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용료보유대수
사용료1.0000.000
보유대수0.0001.000
2024-01-10T07:39:25.413843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보유대수사용료
보유대수1.0000.000
사용료0.0001.000

Missing values

2024-01-10T07:39:23.646298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:39:23.712540image/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

장비분류장비형식보유대수사용료
0곡물적재함2톤1 대15,000원 / 1일
1과수인공교배기 (과수인공교배기(융자미지원))60cc9 대5,000원 / 1일
2구굴기 (농업용트랙터)로타리형/60CM1 대15,000원 / 1일
3굴삭기 (농업용굴삭기)0020㎥2 대75,000원 / 1일
4논두렁조성기 (농업용트랙터)대형20 대15,000원 / 1일
5논두렁조성기 (농업용트랙터)대형/70CM4 대15,000원 / 1일
6논두렁조성기 (농업용트랙터)소형21 대15,000원 / 1일
7논두렁조성기 (농업용트랙터)소형/40CM5 대15,000원 / 1일
8농산물건조기300kg1 대15,000원 / 1일
9농산물건조기건조기(300kg)1 대15,000원 / 1일
장비분류장비형식보유대수사용료
218휴립복토기 (농업용트랙터)2두둑식2 대15,000원 / 1일
219휴립복토기 (농업용트랙터)보리배토(1골)1 대15,000원 / 1일
220휴립복토기 (농업용트랙터)보리배토(2골)1 대15,000원 / 1일
221휴립복토기 (농업용트랙터)피복(1두둑식)/마늘1 대20,000원 / 1일
222휴립복토기 (농업용트랙터)피복(2두둑식)2 대20,000원 / 1일
223휴립복토기 (농업용트랙터)휴립(2두둑식)2 대15,000원 / 1일
224휴립복토기 (농업용트랙터)휴립(2두둑식)/콩파종1 대20,000원 / 1일
225휴립복토기 (농업용트랙터)휴립피복기 1두둑1 대20,000원 / 1일
226휴립피복기 (농업용트랙터)2두둑식3 대15,000원 / 1일
227휴립피복기 (농업용트랙터)고구마,감자(4두둑식)1 대20,000원 / 1일