Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.5 B

Variable types

Text4
Categorical1

Dataset

Description경상남도 거제시 농약판매업등록현황에 대한 자료입니다. 상호, 주소, 전화번호, 대표자명, 기준일에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3079239/fileData.do

Alerts

기준일 has constant value ""Constant
상호 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:36:46.370961
Analysis finished2023-12-12 01:36:46.760223
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T10:36:46.920261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length7.9166667
Min length4

Characters and Unicode

Total characters190
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row거제농업협동조합
2nd row거제원예농약종묘사
3rd row거제해금강농협남부지점
4th row고현농약종묘사
5th row대교상사
ValueCountFrequency (%)
거제농업협동조합 1
 
4.2%
거제원예농약종묘사 1
 
4.2%
하청농업협동조합칠천지점 1
 
4.2%
하청농업협동조합 1
 
4.2%
중앙종묘사(고현 1
 
4.2%
중앙종묘농약사 1
 
4.2%
제일농약종묘사 1
 
4.2%
장승포농업협동조합 1
 
4.2%
장목농업협동조합외포지점 1
 
4.2%
장목농업협동조합 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T10:36:47.343209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
10.5%
15
 
7.9%
13
 
6.8%
12
 
6.3%
12
 
6.3%
12
 
6.3%
11
 
5.8%
7
 
3.7%
5
 
2.6%
5
 
2.6%
Other values (45) 78
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
98.9%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
10.6%
15
 
8.0%
13
 
6.9%
12
 
6.4%
12
 
6.4%
12
 
6.4%
11
 
5.9%
7
 
3.7%
5
 
2.7%
5
 
2.7%
Other values (43) 76
40.4%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
10.6%
15
 
8.0%
13
 
6.9%
12
 
6.4%
12
 
6.4%
12
 
6.4%
11
 
5.9%
7
 
3.7%
5
 
2.7%
5
 
2.7%
Other values (43) 76
40.4%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
20
 
10.6%
15
 
8.0%
13
 
6.9%
12
 
6.4%
12
 
6.4%
12
 
6.4%
11
 
5.9%
7
 
3.7%
5
 
2.7%
5
 
2.7%
Other values (43) 76
40.4%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T10:36:47.614603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.791667
Min length17

Characters and Unicode

Total characters499
Distinct characters57
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

Unique24 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 거제면 거제남서로 3420
2nd row경상남도 거제시 고현동 고현로 12길 19
3rd row경상남도 거제시 남부면 저구1길 60-1
4th row경상남도 거제시 고현로 108 1층
5th row경상남도 거제시 사등면 덕호신촌2길 2
ValueCountFrequency (%)
경상남도 24
19.8%
거제시 24
19.8%
고현로 6
 
5.0%
고현동 4
 
3.3%
거제면 3
 
2.5%
거제남서로 3
 
2.5%
사등면 2
 
1.7%
일운면 2
 
1.7%
동부면 2
 
1.7%
거제북로 2
 
1.7%
Other values (47) 49
40.5%
2023-12-12T10:36:48.476013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
19.4%
33
 
6.6%
33
 
6.6%
28
 
5.6%
24
 
4.8%
24
 
4.8%
24
 
4.8%
24
 
4.8%
19
 
3.8%
1 17
 
3.4%
Other values (47) 176
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
64.5%
Space Separator 97
 
19.4%
Decimal Number 75
 
15.0%
Dash Punctuation 5
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
10.2%
33
 
10.2%
28
 
8.7%
24
 
7.5%
24
 
7.5%
24
 
7.5%
24
 
7.5%
19
 
5.9%
16
 
5.0%
10
 
3.1%
Other values (35) 87
27.0%
Decimal Number
ValueCountFrequency (%)
1 17
22.7%
2 13
17.3%
3 11
14.7%
8 8
10.7%
0 8
10.7%
4 7
9.3%
6 4
 
5.3%
5 3
 
4.0%
7 2
 
2.7%
9 2
 
2.7%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
64.5%
Common 177
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
10.2%
33
 
10.2%
28
 
8.7%
24
 
7.5%
24
 
7.5%
24
 
7.5%
24
 
7.5%
19
 
5.9%
16
 
5.0%
10
 
3.1%
Other values (35) 87
27.0%
Common
ValueCountFrequency (%)
97
54.8%
1 17
 
9.6%
2 13
 
7.3%
3 11
 
6.2%
8 8
 
4.5%
0 8
 
4.5%
4 7
 
4.0%
- 5
 
2.8%
6 4
 
2.3%
5 3
 
1.7%
Other values (2) 4
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
64.5%
ASCII 177
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
54.8%
1 17
 
9.6%
2 13
 
7.3%
3 11
 
6.2%
8 8
 
4.5%
0 8
 
4.5%
4 7
 
4.0%
- 5
 
2.8%
6 4
 
2.3%
5 3
 
1.7%
Other values (2) 4
 
2.3%
Hangul
ValueCountFrequency (%)
33
 
10.2%
33
 
10.2%
28
 
8.7%
24
 
7.5%
24
 
7.5%
24
 
7.5%
24
 
7.5%
19
 
5.9%
16
 
5.0%
10
 
3.1%
Other values (35) 87
27.0%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T10:36:48.737582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row055-634-3275
2nd row055-632-8570
3rd row055-633-0231
4th row055-636-0848
5th row055-634-1382
ValueCountFrequency (%)
055-634-3275 1
 
4.2%
055-632-8570 1
 
4.2%
055-633-9077 1
 
4.2%
055-636-5805 1
 
4.2%
055-636-2696 1
 
4.2%
055-632-3654 1
 
4.2%
055-635-7302 1
 
4.2%
055-688-5798 1
 
4.2%
055-650-8331 1
 
4.2%
055-635-1930 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T10:36:49.199867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 63
21.9%
- 48
16.7%
6 39
13.5%
0 38
13.2%
3 32
11.1%
8 20
 
6.9%
2 13
 
4.5%
1 10
 
3.5%
7 9
 
3.1%
4 8
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 63
26.2%
6 39
16.2%
0 38
15.8%
3 32
13.3%
8 20
 
8.3%
2 13
 
5.4%
1 10
 
4.2%
7 9
 
3.8%
4 8
 
3.3%
9 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 63
21.9%
- 48
16.7%
6 39
13.5%
0 38
13.2%
3 32
11.1%
8 20
 
6.9%
2 13
 
4.5%
1 10
 
3.5%
7 9
 
3.1%
4 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 63
21.9%
- 48
16.7%
6 39
13.5%
0 38
13.2%
3 32
11.1%
8 20
 
6.9%
2 13
 
4.5%
1 10
 
3.5%
7 9
 
3.1%
4 8
 
2.8%
Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T10:36:49.482172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Characters and Unicode

Total characters71
Distinct characters43
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

Unique18 ?
Unique (%)75.0%

Sample

1st row이범석
2nd row유동선
3rd row박상규
4th row김미향
5th row황지환
ValueCountFrequency (%)
박상규 2
 
8.3%
주영포 2
 
8.3%
김현준 2
 
8.3%
심광 1
 
4.2%
이범석 1
 
4.2%
손정신 1
 
4.2%
허진호 1
 
4.2%
김재환 1
 
4.2%
이철주 1
 
4.2%
이윤행 1
 
4.2%
Other values (11) 11
45.8%
2023-12-12T10:36:49.944667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
9.9%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (33) 38
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
9.9%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (33) 38
53.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
9.9%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (33) 38
53.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
9.9%
4
 
5.6%
4
 
5.6%
3
 
4.2%
3
 
4.2%
3
 
4.2%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (33) 38
53.5%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-06-29
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-29
2nd row2023-06-29
3rd row2023-06-29
4th row2023-06-29
5th row2023-06-29

Common Values

ValueCountFrequency (%)
2023-06-29 24
100.0%

Length

2023-12-12T10:36:50.139188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:36:50.281971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-29 24
100.0%

Correlations

2023-12-12T10:36:50.360448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호주소전화번호대표자명
상호1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2023-12-12T10:36:46.611785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:36:46.713568image/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

상호주소전화번호대표자명기준일
0거제농업협동조합경상남도 거제시 거제면 거제남서로 3420055-634-3275이범석2023-06-29
1거제원예농약종묘사경상남도 거제시 고현동 고현로 12길 19055-632-8570유동선2023-06-29
2거제해금강농협남부지점경상남도 거제시 남부면 저구1길 60-1055-633-0231박상규2023-06-29
3고현농약종묘사경상남도 거제시 고현로 108 1층055-636-0848김미향2023-06-29
4대교상사경상남도 거제시 사등면 덕호신촌2길 2055-634-1382황지환2023-06-29
5동남부농업협동조합동부지점경상남도 거제시 동부면 거제남서로 3086055-639-1608박상규2023-06-29
6동신농약사경상남도 거제시 고현동 고현로 84055-636-0533박일자2023-06-29
7둔덕농업협동조합경상남도 거제시 둔덕면 거제남서로 4580055-634-5289김임준2023-06-29
8사등농업협동조합경상남도 거제시 사등면 성포로 133055-632-5722김학권2023-06-29
9성내원예자재사경상남도 거제시 거제면 읍내로 2길 27055-632-8979정완규2023-06-29
상호주소전화번호대표자명기준일
14일운농업협동조합경상남도 거제시 일운면 지세포리 782-2055-680-6614이성균2023-06-29
15장목농업협동조합경상남도 거제시 장목면 거제북로 1206055-635-1930김현준2023-06-29
16장목농업협동조합외포지점경상남도 거제시 장목면 외포4길 3055-650-8331김현준2023-06-29
17장승포농업협동조합경상남도 거제시 거제대로 3511055-688-5798이윤행2023-06-29
18제일농약종묘사경상남도 거제시 고현동 고현로 85055-635-7302이철주2023-06-29
19중앙종묘농약사경상남도 거제시 거제면 기성로 33055-632-3654김재환2023-06-29
20중앙종묘사(고현)경상남도 거제시 고현로 88-1055-636-2696허진호2023-06-29
21하청농업협동조합경상남도 거제시 하청면 하청로 34055-636-5805주영포2023-06-29
22하청농업협동조합칠천지점경상남도 거제시 하청면 연구2길 3-12055-633-9077주영포2023-06-29
23황씨상회경상남도 거제시 장승포동 장승포로 49055-681-5808김순자2023-06-29