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.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079239

Alerts

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

Reproduction

Analysis started2023-12-10 23:22:08.063795
Analysis finished2023-12-10 23:22:08.376313
Duration0.31 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
2023-12-11T08:22:08.523242image/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%
2023-12-11T08:22:08.820300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 20
 
10.5%
동 15
 
7.9%
협 13
 
6.8%
업 12
 
6.3%
조 12
 
6.3%
합 12
 
6.3%
사 11
 
5.8%
약 7
 
3.7%
종 5
 
2.6%
묘 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 (%)
농 20
 
10.6%
동 15
 
8.0%
협 13
 
6.9%
업 12
 
6.4%
조 12
 
6.4%
합 12
 
6.4%
사 11
 
5.9%
약 7
 
3.7%
종 5
 
2.7%
묘 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 (%)
농 20
 
10.6%
동 15
 
8.0%
협 13
 
6.9%
업 12
 
6.4%
조 12
 
6.4%
합 12
 
6.4%
사 11
 
5.9%
약 7
 
3.7%
종 5
 
2.7%
묘 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 (%)
농 20
 
10.6%
동 15
 
8.0%
협 13
 
6.9%
업 12
 
6.4%
조 12
 
6.4%
합 12
 
6.4%
사 11
 
5.9%
약 7
 
3.7%
종 5
 
2.7%
묘 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
2023-12-11T08:22:09.025129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.625
Min length15

Characters and Unicode

Total characters447
Distinct characters55
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 row경남 거제시 거제면 거제남서로 3420
2nd row경남 거제시 고현동 고현로 12길 19
3rd row경남 거제시 남부면 저구1길 60-1
4th row경남 거제시 고현로 108 1층
5th row경남 거제시 사등면 덕호신촌2길 2
ValueCountFrequency (%)
경남 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%
2023-12-11T08:22:09.370544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
21.7%
거 33
 
7.4%
제 33
 
7.4%
남 28
 
6.3%
경 24
 
5.4%
시 24
 
5.4%
로 19
 
4.3%
면 16
 
3.6%
1 15
 
3.4%
2 13
 
2.9%
Other values (45) 145
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
61.3%
Space Separator 97
 
21.7%
Decimal Number 72
 
16.1%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 33
12.0%
제 33
12.0%
남 28
10.2%
경 24
 
8.8%
시 24
 
8.8%
로 19
 
6.9%
면 16
 
5.8%
고 10
 
3.6%
현 10
 
3.6%
동 8
 
2.9%
Other values (33) 69
25.2%
Decimal Number
ValueCountFrequency (%)
1 15
20.8%
2 13
18.1%
3 9
12.5%
8 9
12.5%
0 7
9.7%
4 6
 
8.3%
6 5
 
6.9%
5 3
 
4.2%
9 3
 
4.2%
7 2
 
2.8%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
61.3%
Common 173
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 33
12.0%
제 33
12.0%
남 28
10.2%
경 24
 
8.8%
시 24
 
8.8%
로 19
 
6.9%
면 16
 
5.8%
고 10
 
3.6%
현 10
 
3.6%
동 8
 
2.9%
Other values (33) 69
25.2%
Common
ValueCountFrequency (%)
97
56.1%
1 15
 
8.7%
2 13
 
7.5%
3 9
 
5.2%
8 9
 
5.2%
0 7
 
4.0%
4 6
 
3.5%
6 5
 
2.9%
- 4
 
2.3%
5 3
 
1.7%
Other values (2) 5
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
61.3%
ASCII 173
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
56.1%
1 15
 
8.7%
2 13
 
7.5%
3 9
 
5.2%
8 9
 
5.2%
0 7
 
4.0%
4 6
 
3.5%
6 5
 
2.9%
- 4
 
2.3%
5 3
 
1.7%
Other values (2) 5
 
2.9%
Hangul
ValueCountFrequency (%)
거 33
12.0%
제 33
12.0%
남 28
10.2%
경 24
 
8.8%
시 24
 
8.8%
로 19
 
6.9%
면 16
 
5.8%
고 10
 
3.6%
현 10
 
3.6%
동 8
 
2.9%
Other values (33) 69
25.2%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:22:09.550614image/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 row055-639-1625
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%
055-680-6719 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%
2023-12-11T08:22:09.832289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 61
21.2%
- 48
16.7%
6 41
14.2%
0 39
13.5%
3 28
9.7%
8 22
 
7.6%
1 12
 
4.2%
2 10
 
3.5%
9 10
 
3.5%
7 9
 
3.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 61
25.4%
6 41
17.1%
0 39
16.2%
3 28
11.7%
8 22
 
9.2%
1 12
 
5.0%
2 10
 
4.2%
9 10
 
4.2%
7 9
 
3.8%
4 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 61
21.2%
- 48
16.7%
6 41
14.2%
0 39
13.5%
3 28
9.7%
8 22
 
7.6%
1 12
 
4.2%
2 10
 
3.5%
9 10
 
3.5%
7 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 61
21.2%
- 48
16.7%
6 41
14.2%
0 39
13.5%
3 28
9.7%
8 22
 
7.6%
1 12
 
4.2%
2 10
 
3.5%
9 10
 
3.5%
7 9
 
3.1%

대표자명
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:22:10.006118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1666667
Min length2

Characters and Unicode

Total characters76
Distinct characters47
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

Unique18 ?
Unique (%)75.0%

Sample

1st row이범석
2nd row유동선
3rd row원희철
4th row김미향
5th row황지환
ValueCountFrequency (%)
원희철 2
 
8.0%
주영포 2
 
8.0%
김현준 2
 
8.0%
윤대산 1
 
4.0%
이범석 1
 
4.0%
손정신 1
 
4.0%
허진호 1
 
4.0%
김재환 1
 
4.0%
이철주 1
 
4.0%
이윤행 1
 
4.0%
Other values (12) 12
48.0%
2023-12-11T08:22:10.284351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
9.2%
이 5
 
6.6%
철 4
 
5.3%
정 3
 
3.9%
현 3
 
3.9%
준 3
 
3.9%
주 3
 
3.9%
환 2
 
2.6%
윤 2
 
2.6%
희 2
 
2.6%
Other values (37) 42
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74
97.4%
Space Separator 1
 
1.3%
Other Punctuation 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
9.5%
이 5
 
6.8%
철 4
 
5.4%
정 3
 
4.1%
현 3
 
4.1%
준 3
 
4.1%
주 3
 
4.1%
환 2
 
2.7%
윤 2
 
2.7%
희 2
 
2.7%
Other values (35) 40
54.1%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74
97.4%
Common 2
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
9.5%
이 5
 
6.8%
철 4
 
5.4%
정 3
 
4.1%
현 3
 
4.1%
준 3
 
4.1%
주 3
 
4.1%
환 2
 
2.7%
윤 2
 
2.7%
희 2
 
2.7%
Other values (35) 40
54.1%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74
97.4%
ASCII 2
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
9.5%
이 5
 
6.8%
철 4
 
5.4%
정 3
 
4.1%
현 3
 
4.1%
준 3
 
4.1%
주 3
 
4.1%
환 2
 
2.7%
윤 2
 
2.7%
희 2
 
2.7%
Other values (35) 40
54.1%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2021-07-01
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-01
2nd row2021-07-01
3rd row2021-07-01
4th row2021-07-01
5th row2021-07-01

Common Values

ValueCountFrequency (%)
2021-07-01 24
100.0%

Length

2023-12-11T08:22:10.393157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:22:10.471636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-01 24
100.0%

Correlations

2023-12-11T08:22:10.527957image/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

2023-12-11T08:22:08.263601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:22:08.343591image/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
0거제농업협동조합경남 거제시 거제면 거제남서로 3420055-634-3275이범석2021-07-01
1거제원예농약종묘사경남 거제시 고현동 고현로 12길 19055-632-8570유동선2021-07-01
2거제해금강농협남부지점경남 거제시 남부면 저구1길 60-1055-639-1625원희철2021-07-01
3고현농약종묘사경남 거제시 고현로 108 1층055-636-0848김미향2021-07-01
4대교상사경남 거제시 사등면 덕호신촌2길 2055-634-1382황지환2021-07-01
5동남부농업협동조합동부지점경남 거제시 동부면 거제남서로 3086055-639-1608원희철2021-07-01
6동신농약사경남 거제시 고현동 고현로 84055-636-0533박일자, 이정민2021-07-01
7둔덕농업협동조합경남 거제시 둔덕면 거제남서로 4580055-634-5289김임준2021-07-01
8사등농업협동조합경남 거제시 사등면 성포로 98055-680-6108김학권2021-07-01
9성내원예자재사경남 거제시 거제면 읍내로 2길 27055-632-8979정완규2021-07-01
상호주소전화번호대표자명기준일
14일운농업협동조합경남 거제시 일운면 지세포리 782-2055-680-6614이성균2021-07-01
15장목농업협동조합경남 거제시 장목면 거제북로 1206055-635-1930김현준2021-07-01
16장목농업협동조합외포지점경남 거제시 장목면 외포4길 3055-650-8331김현준2021-07-01
17장승포농업협동조합경남 거제시 거제대로 3511055-688-5798이윤행2021-07-01
18제일농약종묘사경남 거제시 고현동 고현로 85055-635-7302이철주2021-07-01
19중앙종묘농약사경남 거제시 거제면 기성로 33055-632-3654김재환2021-07-01
20중앙종묘사(고현)경남 거제시 고현로 88-1055-636-2696허진호2021-07-01
21하청농업협동조합경남 거제시 하청면 하청로 34055-680-6719주영포2021-07-01
22하청농업협동조합칠천지점경남 거제시 하청면 연구2길 3-12055-633-9077주영포2021-07-01
23황씨상회경남 거제시 장승포동 장승포로 49055-681-5808김순자2021-07-01