Overview

Dataset statistics

Number of variables4
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.9 B

Variable types

Text4

Dataset

Description전라남도 여수시 관내에 등록된 농약판매업소 현황(업소명, 주소, 도로명 주소, 전화번호)에 대한 자료를 제공합니다.
URLhttps://www.data.go.kr/data/3073416/fileData.do

Alerts

상호 has unique valuesUnique
주소 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:36:02.371756
Analysis finished2023-12-12 05:36:02.885075
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:36:03.057098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.9411765
Min length3

Characters and Unicode

Total characters236
Distinct characters73
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

Unique34 ?
Unique (%)100.0%

Sample

1st row농사병원
2nd row동부팜마트
3rd row바른농약사
4th row부농원
5th row서울농자재
ValueCountFrequency (%)
여천농협 2
 
5.3%
여수농협 2
 
5.3%
현대농약사 1
 
2.6%
풍년농약사 1
 
2.6%
주식회사 1
 
2.6%
여수나무병원 1
 
2.6%
제일농약사 1
 
2.6%
장보고 1
 
2.6%
육일농약사 1
 
2.6%
동부팜마트 1
 
2.6%
Other values (26) 26
68.4%
2023-12-12T14:36:03.540348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 31
 
13.1%
여 21
 
8.9%
협 17
 
7.2%
점 14
 
5.9%
지 13
 
5.5%
사 12
 
5.1%
수 11
 
4.7%
천 9
 
3.8%
약 9
 
3.8%
화 5
 
2.1%
Other values (63) 94
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
97.5%
Space Separator 4
 
1.7%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 31
 
13.5%
여 21
 
9.1%
협 17
 
7.4%
점 14
 
6.1%
지 13
 
5.7%
사 12
 
5.2%
수 11
 
4.8%
천 9
 
3.9%
약 9
 
3.9%
화 5
 
2.2%
Other values (60) 88
38.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
97.5%
Common 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 31
 
13.5%
여 21
 
9.1%
협 17
 
7.4%
점 14
 
6.1%
지 13
 
5.7%
사 12
 
5.2%
수 11
 
4.8%
천 9
 
3.9%
약 9
 
3.9%
화 5
 
2.2%
Other values (60) 88
38.3%
Common
ValueCountFrequency (%)
4
66.7%
( 1
 
16.7%
) 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
97.5%
ASCII 6
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 31
 
13.5%
여 21
 
9.1%
협 17
 
7.4%
점 14
 
6.1%
지 13
 
5.7%
사 12
 
5.2%
수 11
 
4.8%
천 9
 
3.9%
약 9
 
3.9%
화 5
 
2.2%
Other values (60) 88
38.3%
ASCII
ValueCountFrequency (%)
4
66.7%
( 1
 
16.7%
) 1
 
16.7%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:36:03.846738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length16.382353
Min length7

Characters and Unicode

Total characters557
Distinct characters65
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

Unique34 ?
Unique (%)100.0%

Sample

1st row전라남도 여수시 학동 37-12
2nd row전라남도 여수시 화장동 894-8
3rd row전라남도 여수시 흥국로 8
4th row전라남도 여수시 무선로 22
5th row전라남도 여수시 교동 622-44
ValueCountFrequency (%)
여수시 24
 
18.5%
전라남도 23
 
17.7%
교동 4
 
3.1%
나진리 3
 
2.3%
소라면 3
 
2.3%
덕양리 3
 
2.3%
돌산읍 2
 
1.5%
서교동 2
 
1.5%
죽림리 2
 
1.5%
화양면 2
 
1.5%
Other values (59) 62
47.7%
2023-12-12T14:36:04.339850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
17.2%
남 26
 
4.7%
라 26
 
4.7%
- 25
 
4.5%
도 25
 
4.5%
수 25
 
4.5%
1 25
 
4.5%
전 24
 
4.3%
여 24
 
4.3%
시 24
 
4.3%
Other values (55) 237
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
53.7%
Decimal Number 137
24.6%
Space Separator 96
 
17.2%
Dash Punctuation 25
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 26
 
8.7%
라 26
 
8.7%
도 25
 
8.4%
수 25
 
8.4%
전 24
 
8.0%
여 24
 
8.0%
시 24
 
8.0%
리 17
 
5.7%
동 14
 
4.7%
면 9
 
3.0%
Other values (43) 85
28.4%
Decimal Number
ValueCountFrequency (%)
1 25
18.2%
2 24
17.5%
4 19
13.9%
7 14
10.2%
6 14
10.2%
5 9
 
6.6%
9 9
 
6.6%
8 9
 
6.6%
3 7
 
5.1%
0 7
 
5.1%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
53.7%
Common 258
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 26
 
8.7%
라 26
 
8.7%
도 25
 
8.4%
수 25
 
8.4%
전 24
 
8.0%
여 24
 
8.0%
시 24
 
8.0%
리 17
 
5.7%
동 14
 
4.7%
면 9
 
3.0%
Other values (43) 85
28.4%
Common
ValueCountFrequency (%)
96
37.2%
- 25
 
9.7%
1 25
 
9.7%
2 24
 
9.3%
4 19
 
7.4%
7 14
 
5.4%
6 14
 
5.4%
5 9
 
3.5%
9 9
 
3.5%
8 9
 
3.5%
Other values (2) 14
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
53.7%
ASCII 258
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
37.2%
- 25
 
9.7%
1 25
 
9.7%
2 24
 
9.3%
4 19
 
7.4%
7 14
 
5.4%
6 14
 
5.4%
5 9
 
3.5%
9 9
 
3.5%
8 9
 
3.5%
Other values (2) 14
 
5.4%
Hangul
ValueCountFrequency (%)
남 26
 
8.7%
라 26
 
8.7%
도 25
 
8.4%
수 25
 
8.4%
전 24
 
8.0%
여 24
 
8.0%
시 24
 
8.0%
리 17
 
5.7%
동 14
 
4.7%
면 9
 
3.0%
Other values (43) 85
28.4%

도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:36:04.636235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length18.411765
Min length8

Characters and Unicode

Total characters626
Distinct characters75
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

Unique34 ?
Unique (%)100.0%

Sample

1st row전라남도 여수시 학동1길 12
2nd row전라남도 여수시 화산로 20-1
3rd row전라남도 여수시 학동 69-3
4th row전라남도 여수시 학동 59-2
5th row전남 여수시 교동시장3길 11-1
ValueCountFrequency (%)
여수시 33
20.9%
전라남도 24
 
15.2%
전남 9
 
5.7%
소라면 5
 
3.2%
중앙로 4
 
2.5%
덕양로 3
 
1.9%
학동 3
 
1.9%
화양면 3
 
1.9%
돌산읍 3
 
1.9%
24 3
 
1.9%
Other values (63) 68
43.0%
2023-12-12T14:36:05.189807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
19.8%
남 36
 
5.8%
여 36
 
5.8%
수 34
 
5.4%
시 34
 
5.4%
전 33
 
5.3%
라 29
 
4.6%
도 26
 
4.2%
1 26
 
4.2%
로 15
 
2.4%
Other values (65) 233
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
63.3%
Space Separator 124
 
19.8%
Decimal Number 95
 
15.2%
Dash Punctuation 11
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 36
 
9.1%
여 36
 
9.1%
수 34
 
8.6%
시 34
 
8.6%
전 33
 
8.3%
라 29
 
7.3%
도 26
 
6.6%
로 15
 
3.8%
면 14
 
3.5%
길 14
 
3.5%
Other values (53) 125
31.6%
Decimal Number
ValueCountFrequency (%)
1 26
27.4%
2 14
14.7%
4 14
14.7%
0 10
 
10.5%
3 9
 
9.5%
6 6
 
6.3%
5 6
 
6.3%
9 4
 
4.2%
7 3
 
3.2%
8 3
 
3.2%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
63.3%
Common 230
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 36
 
9.1%
여 36
 
9.1%
수 34
 
8.6%
시 34
 
8.6%
전 33
 
8.3%
라 29
 
7.3%
도 26
 
6.6%
로 15
 
3.8%
면 14
 
3.5%
길 14
 
3.5%
Other values (53) 125
31.6%
Common
ValueCountFrequency (%)
124
53.9%
1 26
 
11.3%
2 14
 
6.1%
4 14
 
6.1%
- 11
 
4.8%
0 10
 
4.3%
3 9
 
3.9%
6 6
 
2.6%
5 6
 
2.6%
9 4
 
1.7%
Other values (2) 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
63.3%
ASCII 230
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
53.9%
1 26
 
11.3%
2 14
 
6.1%
4 14
 
6.1%
- 11
 
4.8%
0 10
 
4.3%
3 9
 
3.9%
6 6
 
2.6%
5 6
 
2.6%
9 4
 
1.7%
Other values (2) 6
 
2.6%
Hangul
ValueCountFrequency (%)
남 36
 
9.1%
여 36
 
9.1%
수 34
 
8.6%
시 34
 
8.6%
전 33
 
8.3%
라 29
 
7.3%
도 26
 
6.6%
로 15
 
3.8%
면 14
 
3.5%
길 14
 
3.5%
Other values (53) 125
31.6%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:36:05.486991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.764706
Min length4

Characters and Unicode

Total characters400
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

Unique34 ?
Unique (%)100.0%

Sample

1st row061-683-2077
2nd row061-682-9911
3rd row010-
4th row061-685-0098
5th row061-664-7679
ValueCountFrequency (%)
061-683-2077 1
 
2.9%
061-682-9911 1
 
2.9%
061-681-7307 1
 
2.9%
061-683-6336 1
 
2.9%
061-644-9666 1
 
2.9%
061-642-7307 1
 
2.9%
061-644-5757 1
 
2.9%
061-641-0061 1
 
2.9%
061-682-7358 1
 
2.9%
061-653-6040 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T14:36:05.929652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 100
25.0%
- 67
16.8%
0 56
14.0%
1 50
12.5%
8 28
 
7.0%
4 21
 
5.2%
3 20
 
5.0%
7 19
 
4.8%
5 16
 
4.0%
2 12
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 333
83.2%
Dash Punctuation 67
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 100
30.0%
0 56
16.8%
1 50
15.0%
8 28
 
8.4%
4 21
 
6.3%
3 20
 
6.0%
7 19
 
5.7%
5 16
 
4.8%
2 12
 
3.6%
9 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 100
25.0%
- 67
16.8%
0 56
14.0%
1 50
12.5%
8 28
 
7.0%
4 21
 
5.2%
3 20
 
5.0%
7 19
 
4.8%
5 16
 
4.0%
2 12
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 100
25.0%
- 67
16.8%
0 56
14.0%
1 50
12.5%
8 28
 
7.0%
4 21
 
5.2%
3 20
 
5.0%
7 19
 
4.8%
5 16
 
4.0%
2 12
 
3.0%

Correlations

2023-12-12T14:36:06.060659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호주소도로명주소전화번호
상호1.0001.0001.0001.000
주소1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T14:36:02.723133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:36:02.844398image/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

상호주소도로명주소전화번호
0농사병원전라남도 여수시 학동 37-12전라남도 여수시 학동1길 12061-683-2077
1동부팜마트전라남도 여수시 화장동 894-8전라남도 여수시 화산로 20-1061-682-9911
2바른농약사전라남도 여수시 흥국로 8전라남도 여수시 학동 69-3010-
3부농원전라남도 여수시 무선로 22전라남도 여수시 학동 59-2061-685-0098
4서울농자재전라남도 여수시 교동 622-44전남 여수시 교동시장3길 11-1061-664-7679
5서정농약사전라남도 여수시 교동 626-11전라남도 여수시 중앙로 24061-666-6294
6여림종묘사전라남도 여수시 교동 626-14전라남도 여수시 중앙로 20-3061-663-7867
7여수농약종묘사전라남도 여수시 교동 677-1전라남도 여수시 이순신광장로 14061-662-7867
8여수농자재백화점전라남도 여수시 소라면 덕양리 1077-2전라남도 여수시 소라면 덕양삼거리길 2-4061-685-6337
9여수농협전라남도 여수시 문수동 796-3전라남도 여수시 여문2로 40061-653-6040
상호주소도로명주소전화번호
24여천농협화동지점전남 여수시 화양면 화동로 148 화양농협화동리 1476061-682-6606
25여천농협화양지점나진리 428-4전남 여수시 화양면 화양로 1385061-682-6104
26우리농약사조화리 252-1전남 여수시 율촌면 율촌로 74061-682-7358
27육일농약사서교동 534-17전남 여수시 중앙로 5-1061-641-0061
28장보고덕양리 1042-46전남 여수시 소라면 덕양로 394-1061-644-5757
29제일농약사서교동 566-1전라남도 여수시 중앙로 1061-642-7307
30주식회사 여수나무병원우두리 1097-5 1층 101호전남 여수시 돌산읍 강남9길 24 1층 101호061-644-9666
31풍년농약사나진리 436전남 여수시 화양면 나진길 13-1061-683-6336
32현대농약사전라남도 여수시 소라면 죽림리 908전라남도 여수시 소라면 서부로 37061-681-7307
33화양농약사전라남도 여수시 화양면 나진리 436-1전라남도 여수시 화양면 나진길 11-1061-682-6006