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 23:22:30.465073
Analysis finished2023-12-10 23:22:30.867531
Duration0.4 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
2023-12-11T08:22:31.010694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14.5
Mean length8.5416667
Min length4

Characters and Unicode

Total characters205
Distinct characters52
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 row제일농약종묘사
2nd row하청농업협동조합
3rd row일운농약사
4th row심원농약사
5th row중앙종묘농약사
ValueCountFrequency (%)
제일농약종묘사 1
 
4.2%
하청농업협동조합 1
 
4.2%
장목농업협동조합(외포지점 1
 
4.2%
하청농업협동조합(칠천지점 1
 
4.2%
장승포농업협동조합(장승포지점 1
 
4.2%
거제원예농약종묘사 1
 
4.2%
동남부농업협동조합(동부지점 1
 
4.2%
장승포농업협동조합 1
 
4.2%
장목농업협동조합 1
 
4.2%
대교상사 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T08:22:31.427280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 21
 
10.2%
동 18
 
8.8%
업 14
 
6.8%
협 14
 
6.8%
조 14
 
6.8%
합 14
 
6.8%
사 10
 
4.9%
약 7
 
3.4%
) 5
 
2.4%
점 5
 
2.4%
Other values (42) 83
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
95.1%
Close Punctuation 5
 
2.4%
Open Punctuation 5
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 21
 
10.8%
동 18
 
9.2%
업 14
 
7.2%
협 14
 
7.2%
조 14
 
7.2%
합 14
 
7.2%
사 10
 
5.1%
약 7
 
3.6%
점 5
 
2.6%
지 5
 
2.6%
Other values (40) 73
37.4%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
95.1%
Common 10
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 21
 
10.8%
동 18
 
9.2%
업 14
 
7.2%
협 14
 
7.2%
조 14
 
7.2%
합 14
 
7.2%
사 10
 
5.1%
약 7
 
3.6%
점 5
 
2.6%
지 5
 
2.6%
Other values (40) 73
37.4%
Common
ValueCountFrequency (%)
) 5
50.0%
( 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
95.1%
ASCII 10
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 21
 
10.8%
동 18
 
9.2%
업 14
 
7.2%
협 14
 
7.2%
조 14
 
7.2%
합 14
 
7.2%
사 10
 
5.1%
약 7
 
3.6%
점 5
 
2.6%
지 5
 
2.6%
Other values (40) 73
37.4%
ASCII
ValueCountFrequency (%)
) 5
50.0%
( 5
50.0%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:22:31.679228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.958333
Min length15

Characters and Unicode

Total characters479
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 고현로 85
2nd row경상남도 거제시 하청면 하청로 34
3rd row경상남도 거제시 일운면 지세포로 101
4th row경상남도 거제시 동부면 동부로 4
5th row경상남도 거제시 거제면 기성로 33
ValueCountFrequency (%)
경상남도 24
20.7%
거제시 24
20.7%
고현로 3
 
2.6%
하청면 3
 
2.6%
거제면 3
 
2.6%
동부면 2
 
1.7%
거제남서로 2
 
1.7%
거제북로 2
 
1.7%
장목면 2
 
1.7%
장승포로 2
 
1.7%
Other values (44) 49
42.2%
2023-12-11T08:22:32.134857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
19.2%
거 32
 
6.7%
제 32
 
6.7%
남 27
 
5.6%
시 25
 
5.2%
경 24
 
5.0%
도 24
 
5.0%
상 24
 
5.0%
로 20
 
4.2%
면 17
 
3.5%
Other values (47) 162
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
65.8%
Space Separator 92
 
19.2%
Decimal Number 69
 
14.4%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 32
 
10.2%
제 32
 
10.2%
남 27
 
8.6%
시 25
 
7.9%
경 24
 
7.6%
도 24
 
7.6%
상 24
 
7.6%
로 20
 
6.3%
면 17
 
5.4%
길 8
 
2.5%
Other values (35) 82
26.0%
Decimal Number
ValueCountFrequency (%)
1 15
21.7%
3 14
20.3%
2 13
18.8%
0 6
 
8.7%
4 6
 
8.7%
6 4
 
5.8%
8 4
 
5.8%
9 3
 
4.3%
5 3
 
4.3%
7 1
 
1.4%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
65.8%
Common 164
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 32
 
10.2%
제 32
 
10.2%
남 27
 
8.6%
시 25
 
7.9%
경 24
 
7.6%
도 24
 
7.6%
상 24
 
7.6%
로 20
 
6.3%
면 17
 
5.4%
길 8
 
2.5%
Other values (35) 82
26.0%
Common
ValueCountFrequency (%)
92
56.1%
1 15
 
9.1%
3 14
 
8.5%
2 13
 
7.9%
0 6
 
3.7%
4 6
 
3.7%
6 4
 
2.4%
8 4
 
2.4%
- 3
 
1.8%
9 3
 
1.8%
Other values (2) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
65.8%
ASCII 164
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
56.1%
1 15
 
9.1%
3 14
 
8.5%
2 13
 
7.9%
0 6
 
3.7%
4 6
 
3.7%
6 4
 
2.4%
8 4
 
2.4%
- 3
 
1.8%
9 3
 
1.8%
Other values (2) 4
 
2.4%
Hangul
ValueCountFrequency (%)
거 32
 
10.2%
제 32
 
10.2%
남 27
 
8.6%
시 25
 
7.9%
경 24
 
7.6%
도 24
 
7.6%
상 24
 
7.6%
로 20
 
6.3%
면 17
 
5.4%
길 8
 
2.5%
Other values (35) 82
26.0%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:22:32.342911image/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 row055-635-7302
2nd row055-636-5805
3rd row055-681-0386
4th row055-634-4566
5th row055-632-3654
ValueCountFrequency (%)
055-635-7302 1
 
4.2%
055-636-5805 1
 
4.2%
055-636-6044 1
 
4.2%
055-633-9077 1
 
4.2%
055-681-2363 1
 
4.2%
055-632-8570 1
 
4.2%
055-633-2005 1
 
4.2%
055-688-5798 1
 
4.2%
055-635-0109 1
 
4.2%
055-634-1382 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T08:22:32.659598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
22.2%
- 48
16.7%
0 43
14.9%
6 36
12.5%
3 34
11.8%
8 15
 
5.2%
2 13
 
4.5%
1 12
 
4.2%
4 10
 
3.5%
7 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 64
26.7%
0 43
17.9%
6 36
15.0%
3 34
14.2%
8 15
 
6.2%
2 13
 
5.4%
1 12
 
5.0%
4 10
 
4.2%
7 8
 
3.3%
9 5
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
22.2%
- 48
16.7%
0 43
14.9%
6 36
12.5%
3 34
11.8%
8 15
 
5.2%
2 13
 
4.5%
1 12
 
4.2%
4 10
 
3.5%
7 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
22.2%
- 48
16.7%
0 43
14.9%
6 36
12.5%
3 34
11.8%
8 15
 
5.2%
2 13
 
4.5%
1 12
 
4.2%
4 10
 
3.5%
7 8
 
2.8%

대표자명
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:22:32.843952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Characters and Unicode

Total characters71
Distinct characters44
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 row이철주
2nd row정흥섭
3rd row윤대산
4th row심광
5th row김재환
ValueCountFrequency (%)
원희철 2
 
8.3%
신종배 2
 
8.3%
정흥섭 2
 
8.3%
이철주 1
 
4.2%
이범석 1
 
4.2%
권순옥 1
 
4.2%
유동선 1
 
4.2%
농협장 1
 
4.2%
정명자 1
 
4.2%
손정신 1
 
4.2%
Other values (11) 11
45.8%
2023-12-11T08:22:33.148236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 5
 
7.0%
김 4
 
5.6%
이 3
 
4.2%
자 3
 
4.2%
철 3
 
4.2%
신 3
 
4.2%
종 3
 
4.2%
배 3
 
4.2%
재 2
 
2.8%
희 2
 
2.8%
Other values (34) 40
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 5
 
7.0%
김 4
 
5.6%
이 3
 
4.2%
자 3
 
4.2%
철 3
 
4.2%
신 3
 
4.2%
종 3
 
4.2%
배 3
 
4.2%
재 2
 
2.8%
희 2
 
2.8%
Other values (34) 40
56.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 5
 
7.0%
김 4
 
5.6%
이 3
 
4.2%
자 3
 
4.2%
철 3
 
4.2%
신 3
 
4.2%
종 3
 
4.2%
배 3
 
4.2%
재 2
 
2.8%
희 2
 
2.8%
Other values (34) 40
56.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 5
 
7.0%
김 4
 
5.6%
이 3
 
4.2%
자 3
 
4.2%
철 3
 
4.2%
신 3
 
4.2%
종 3
 
4.2%
배 3
 
4.2%
재 2
 
2.8%
희 2
 
2.8%
Other values (34) 40
56.3%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2017-05-22
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-05-22
2nd row2017-05-22
3rd row2017-05-22
4th row2017-05-22
5th row2017-05-22

Common Values

ValueCountFrequency (%)
2017-05-22 24
100.0%

Length

2023-12-11T08:22:33.283034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:22:33.376213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-05-22 24
100.0%

Correlations

2023-12-11T08:22:33.445546image/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

2023-12-11T08:22:30.677903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:22:30.803266image/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
0제일농약종묘사경상남도 거제시 고현로 85055-635-7302이철주2017-05-22
1하청농업협동조합경상남도 거제시 하청면 하청로 34055-636-5805정흥섭2017-05-22
2일운농약사경상남도 거제시 일운면 지세포로 101055-681-0386윤대산2017-05-22
3심원농약사경상남도 거제시 동부면 동부로 4055-634-4566심광2017-05-22
4중앙종묘농약사경상남도 거제시 거제면 기성로 33055-632-3654김재환2017-05-22
5성내원예자재사경상남도 거제시 거제면 읍내로2길 27055-632-8979정완규2017-05-22
6신흥농약사경상남도 거제시 하청면 하청로 10055-636-2036이행선2017-05-22
7황씨상회경상남도 거제시 장승포로 49 신부시장055-681-5808김순자2017-05-22
8일운농업협동조합경상남도 거제시 일운면 지세포로 131055-681-0072서영재2017-05-22
9신현농업협동조합경상남도 거제시 고현로11길 23055-632-0040지영배2017-05-22
상호주소전화번호대표자명기준일
14연초농업협동조합경상남도 거제시 연초면 거제북로 26055-636-5551손정신2017-05-22
15대교상사경상남도 거제시 사등면 덕호신촌2길 2055-634-1382정명자2017-05-22
16장목농업협동조합경상남도 거제시 장목면 거제북로 1206055-635-0109신종배2017-05-22
17장승포농업협동조합경상남도 거제시 아주동 거제대로 3513055-688-5798농협장2017-05-22
18동남부농업협동조합(동부지점)경상남도 거제시 동부면 거제남서로 3086055-633-2005원희철2017-05-22
19거제원예농약종묘사경상남도 거제시 고현로 12길 19055-632-8570유동선2017-05-22
20장승포농업협동조합(장승포지점)경상남도 거제시 장승포로 39-2055-681-2363권순옥2017-05-22
21하청농업협동조합(칠천지점)경상남도 거제시 하청면 연구2길 3-12055-633-9077정흥섭2017-05-22
22장목농업협동조합(외포지점)경상남도 거제시 장목면 외포4길 3055-636-6044신종배2017-05-22
23동신농약사경상남도 거제시 고현로 84055-636-0533박일자2017-05-22