Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.3 B

Variable types

Text5

Dataset

Description경상남도 남해군에 등록된 농약판매업 현황입니다. 상호, 주소, 전화번호, 대표자, 판매관리인의 정보를 포함하고 있습니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15039701

Alerts

상호 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
판매관리인 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:39:39.001270
Analysis finished2023-12-11 00:39:39.485722
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:39:39.652087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.24
Min length4

Characters and Unicode

Total characters206
Distinct characters54
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row남해농협 중앙지점
2nd row동남해농업협동조합
3rd row동남해농협 상주지점
4th row동남해농협 삼동지점
5th row동남해농협 동천지점
ValueCountFrequency (%)
동남해농협 5
 
13.5%
새남해농협 5
 
13.5%
남해농협 1
 
2.7%
창선농업협동조합 1
 
2.7%
창선한농종묘사 1
 
2.7%
더푸른농약사 1
 
2.7%
홍덕농약사 1
 
2.7%
동천농약사 1
 
2.7%
남일농약사 1
 
2.7%
남해친환경농자재 1
 
2.7%
Other values (19) 19
51.4%
2023-12-11T09:39:39.971027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 25
 
12.1%
남 19
 
9.2%
해 16
 
7.8%
협 14
 
6.8%
14
 
6.8%
동 13
 
6.3%
지 11
 
5.3%
점 11
 
5.3%
사 8
 
3.9%
약 6
 
2.9%
Other values (44) 69
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
93.2%
Space Separator 14
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 25
 
13.0%
남 19
 
9.9%
해 16
 
8.3%
협 14
 
7.3%
동 13
 
6.8%
지 11
 
5.7%
점 11
 
5.7%
사 8
 
4.2%
약 6
 
3.1%
새 6
 
3.1%
Other values (43) 63
32.8%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
93.2%
Common 14
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 25
 
13.0%
남 19
 
9.9%
해 16
 
8.3%
협 14
 
7.3%
동 13
 
6.8%
지 11
 
5.7%
점 11
 
5.7%
사 8
 
4.2%
약 6
 
3.1%
새 6
 
3.1%
Other values (43) 63
32.8%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
93.2%
ASCII 14
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 25
 
13.0%
남 19
 
9.9%
해 16
 
8.3%
협 14
 
7.3%
동 13
 
6.8%
지 11
 
5.7%
점 11
 
5.7%
사 8
 
4.2%
약 6
 
3.1%
새 6
 
3.1%
Other values (43) 63
32.8%
ASCII
ValueCountFrequency (%)
14
100.0%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:39:40.177051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.32
Min length18

Characters and Unicode

Total characters533
Distinct characters50
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

Unique25 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 남해읍 화전로 122번길 3
2nd row경상남도 남해군 이동면 무림로 82
3rd row경상남도 남해군 상주면 남해대로 688번길 4
4th row경상남도 남해군 삼동면 동부대로1876번길 42
5th row경상남도 남해군 삼동면 봉화로 7
ValueCountFrequency (%)
경상남도 25
18.8%
남해군 25
18.8%
남해읍 6
 
4.5%
화전로 6
 
4.5%
남서대로 4
 
3.0%
이동면 3
 
2.3%
무림로 3
 
2.3%
서면 3
 
2.3%
고현면 3
 
2.3%
삼동면 3
 
2.3%
Other values (46) 52
39.1%
2023-12-11T09:39:40.538970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
20.3%
남 64
 
12.0%
해 33
 
6.2%
상 26
 
4.9%
경 25
 
4.7%
도 25
 
4.7%
군 25
 
4.7%
로 25
 
4.7%
면 19
 
3.6%
6 14
 
2.6%
Other values (40) 169
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
64.7%
Space Separator 108
 
20.3%
Decimal Number 78
 
14.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 64
18.6%
해 33
 
9.6%
상 26
 
7.5%
경 25
 
7.2%
도 25
 
7.2%
군 25
 
7.2%
로 25
 
7.2%
면 19
 
5.5%
동 9
 
2.6%
길 8
 
2.3%
Other values (28) 86
24.9%
Decimal Number
ValueCountFrequency (%)
6 14
17.9%
1 14
17.9%
2 9
11.5%
8 8
10.3%
4 8
10.3%
9 7
9.0%
7 7
9.0%
5 5
 
6.4%
0 3
 
3.8%
3 3
 
3.8%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
64.7%
Common 188
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 64
18.6%
해 33
 
9.6%
상 26
 
7.5%
경 25
 
7.2%
도 25
 
7.2%
군 25
 
7.2%
로 25
 
7.2%
면 19
 
5.5%
동 9
 
2.6%
길 8
 
2.3%
Other values (28) 86
24.9%
Common
ValueCountFrequency (%)
108
57.4%
6 14
 
7.4%
1 14
 
7.4%
2 9
 
4.8%
8 8
 
4.3%
4 8
 
4.3%
9 7
 
3.7%
7 7
 
3.7%
5 5
 
2.7%
0 3
 
1.6%
Other values (2) 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
64.7%
ASCII 188
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
57.4%
6 14
 
7.4%
1 14
 
7.4%
2 9
 
4.8%
8 8
 
4.3%
4 8
 
4.3%
9 7
 
3.7%
7 7
 
3.7%
5 5
 
2.7%
0 3
 
1.6%
Other values (2) 5
 
2.7%
Hangul
ValueCountFrequency (%)
남 64
18.6%
해 33
 
9.6%
상 26
 
7.5%
경 25
 
7.2%
도 25
 
7.2%
군 25
 
7.2%
로 25
 
7.2%
면 19
 
5.5%
동 9
 
2.6%
길 8
 
2.3%
Other values (28) 86
24.9%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:39:40.739337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row055-863-1482
2nd row055-860-1033
3rd row055-863-3801
4th row055-867-3501
5th row055-867-3505
ValueCountFrequency (%)
055-863-1482 1
 
4.0%
055-867-7706 1
 
4.0%
055-867-3928 1
 
4.0%
055-862-0099 1
 
4.0%
055-863-4914 1
 
4.0%
055-867-0236 1
 
4.0%
055-862-4255 1
 
4.0%
055-864-4936 1
 
4.0%
055-863-2465 1
 
4.0%
055-862-0101 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T09:39:41.060065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
21.3%
- 50
16.7%
0 40
13.3%
8 34
11.3%
6 34
11.3%
3 20
 
6.7%
2 18
 
6.0%
1 13
 
4.3%
4 12
 
4.0%
7 8
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 64
25.6%
0 40
16.0%
8 34
13.6%
6 34
13.6%
3 20
 
8.0%
2 18
 
7.2%
1 13
 
5.2%
4 12
 
4.8%
7 8
 
3.2%
9 7
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
21.3%
- 50
16.7%
0 40
13.3%
8 34
11.3%
6 34
11.3%
3 20
 
6.7%
2 18
 
6.0%
1 13
 
4.3%
4 12
 
4.0%
7 8
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
21.3%
- 50
16.7%
0 40
13.3%
8 34
11.3%
6 34
11.3%
3 20
 
6.7%
2 18
 
6.0%
1 13
 
4.3%
4 12
 
4.0%
7 8
 
2.7%

대표자명
Text

Distinct15
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:39:41.245349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters75
Distinct characters32
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

Unique13 ?
Unique (%)52.0%

Sample

1st row박대영
2nd row송행열
3rd row송행열
4th row송행열
5th row송행열
ValueCountFrequency (%)
송행열 6
24.0%
류성식 6
24.0%
박대영 1
 
4.0%
박세봉 1
 
4.0%
류상열 1
 
4.0%
최숙자 1
 
4.0%
정행주 1
 
4.0%
김세훈 1
 
4.0%
박준명 1
 
4.0%
박근표 1
 
4.0%
Other values (5) 5
20.0%
2023-12-11T09:39:41.533049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
열 7
 
9.3%
류 7
 
9.3%
행 7
 
9.3%
송 6
 
8.0%
성 6
 
8.0%
식 6
 
8.0%
박 5
 
6.7%
정 3
 
4.0%
최 2
 
2.7%
김 2
 
2.7%
Other values (22) 24
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
열 7
 
9.3%
류 7
 
9.3%
행 7
 
9.3%
송 6
 
8.0%
성 6
 
8.0%
식 6
 
8.0%
박 5
 
6.7%
정 3
 
4.0%
최 2
 
2.7%
김 2
 
2.7%
Other values (22) 24
32.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
열 7
 
9.3%
류 7
 
9.3%
행 7
 
9.3%
송 6
 
8.0%
성 6
 
8.0%
식 6
 
8.0%
박 5
 
6.7%
정 3
 
4.0%
최 2
 
2.7%
김 2
 
2.7%
Other values (22) 24
32.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
열 7
 
9.3%
류 7
 
9.3%
행 7
 
9.3%
송 6
 
8.0%
성 6
 
8.0%
식 6
 
8.0%
박 5
 
6.7%
정 3
 
4.0%
최 2
 
2.7%
김 2
 
2.7%
Other values (22) 24
32.0%

판매관리인
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:39:41.735424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length7
Min length3

Characters and Unicode

Total characters175
Distinct characters68
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

Unique25 ?
Unique (%)100.0%

Sample

1st row정종두, 김태호
2nd row김정수,송정선,이태원,정상인,강효석,신장훈,김종형
3rd row한철영,김영진
4th row강정구,이태용,김은열,신장훈
5th row장성우,유광열
ValueCountFrequency (%)
정종두 1
 
3.0%
류상열 1
 
3.0%
김유자 1
 
3.0%
박서동 1
 
3.0%
정재욱 1
 
3.0%
박갑선 1
 
3.0%
김두수 1
 
3.0%
최봉섭 1
 
3.0%
정미희 1
 
3.0%
박근표 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T09:39:42.085026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 23
 
13.1%
정 13
 
7.4%
김 12
 
6.9%
8
 
4.6%
석 6
 
3.4%
박 6
 
3.4%
영 4
 
2.3%
송 4
 
2.3%
이 4
 
2.3%
장 4
 
2.3%
Other values (58) 91
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
82.3%
Other Punctuation 23
 
13.1%
Space Separator 8
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 13
 
9.0%
김 12
 
8.3%
석 6
 
4.2%
박 6
 
4.2%
영 4
 
2.8%
송 4
 
2.8%
이 4
 
2.8%
장 4
 
2.8%
강 4
 
2.8%
태 3
 
2.1%
Other values (56) 84
58.3%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
82.3%
Common 31
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 13
 
9.0%
김 12
 
8.3%
석 6
 
4.2%
박 6
 
4.2%
영 4
 
2.8%
송 4
 
2.8%
이 4
 
2.8%
장 4
 
2.8%
강 4
 
2.8%
태 3
 
2.1%
Other values (56) 84
58.3%
Common
ValueCountFrequency (%)
, 23
74.2%
8
 
25.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
82.3%
ASCII 31
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 23
74.2%
8
 
25.8%
Hangul
ValueCountFrequency (%)
정 13
 
9.0%
김 12
 
8.3%
석 6
 
4.2%
박 6
 
4.2%
영 4
 
2.8%
송 4
 
2.8%
이 4
 
2.8%
장 4
 
2.8%
강 4
 
2.8%
태 3
 
2.1%
Other values (56) 84
58.3%

Correlations

2023-12-11T09:39:42.172117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호주소전화번호대표자명판매관리인
상호1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.000
판매관리인1.0001.0001.0001.0001.000

Missing values

2023-12-11T09:39:39.347998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:39:39.443829image/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

상호주소전화번호대표자명판매관리인
0남해농협 중앙지점경상남도 남해군 남해읍 화전로 122번길 3055-863-1482박대영정종두, 김태호
1동남해농업협동조합경상남도 남해군 이동면 무림로 82055-860-1033송행열김정수,송정선,이태원,정상인,강효석,신장훈,김종형
2동남해농협 상주지점경상남도 남해군 상주면 남해대로 688번길 4055-863-3801송행열한철영,김영진
3동남해농협 삼동지점경상남도 남해군 삼동면 동부대로1876번길 42055-867-3501송행열강정구,이태용,김은열,신장훈
4동남해농협 동천지점경상남도 남해군 삼동면 봉화로 7055-867-3505송행열장성우,유광열
5동남해농협 남면지점경상남도 남해군 남면 남서대로 801055-862-8985송행열우정용,강정구,송영남,송치민
6동남해농협 미조지점경상남도 남해군 미조면 미송로 24055-867-8083송행열박동범,송인석
7새남해농업협동조합경상남도 남해군 고현면 탑동로 40055-863-2548류성식김창덕
8새남해농협 서면지점경상남도 남해군 서면 스포츠로 679055-862-1150류성식김석주
9새남해농협 남상지점경상남도 남해군 서면 남서대로 2215055-862-1531류성식강기성
상호주소전화번호대표자명판매관리인
15남해그린농마트경상남도 남해군 남해읍 화전로 36055-863-2594최숙자최숙자, 윤형기
16대풍원예사경상남도 남해군 남해읍 화전로 114-10055-862-0101정행주정행주
17한농종묘농약사경상남도 남해군 남해읍 화전로 124055-863-2465김세훈정연옥
18산수화원 남해친환경농자재경상남도 남해군 남해읍 화전로 96번길 나길 16055-864-4936박준명박준명
19남일농약사경상남도 남해군 이동면 무림로 68번길 5055-862-4255박근표박근표, 정미희
20동천농약사경상남도 남해군 삼동면 봉화로 18055-867-0236최봉섭최봉섭
21홍덕농약사경상남도 남해군 남면 남서대로 759055-863-4914김두수김두수, 박갑선
22더푸른농약사경상남도 남해군 고현면 탑동로 57055-862-0099정재욱정재욱
23창선한농종묘사경상남도 남해군 창선면 창선로 66번길 6055-867-3928박서동박서동, 김유자
24이동농약사경상남도 남해군 이동면 무림로 75-1055-862-4638장정익장정익