Overview

Dataset statistics

Number of variables3
Number of observations49
Missing cells1
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory26.7 B

Variable types

Text3

Dataset

Description부산광역시남구_착한가격업소현황_20220923
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060232

Alerts

연락처 has 1 (2.0%) missing valuesMissing
업소명 has unique valuesUnique
주소(도로명 새주소 명기) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:28:59.806758
Analysis finished2023-12-10 16:29:00.144776
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:29:00.346538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.755102
Min length2

Characters and Unicode

Total characters282
Distinct characters134
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

Unique49 ?
Unique (%)100.0%

Sample

1st row명동닭한마리
2nd row제일집
3rd row돌고래돼지국밥
4th row동명식당
5th row미담
ValueCountFrequency (%)
보리밥 2
 
3.5%
명동닭한마리 1
 
1.8%
자유손칼국수 1
 
1.8%
풍미추어탕 1
 
1.8%
밀칼국수 1
 
1.8%
개미식당 1
 
1.8%
남보현 1
 
1.8%
국수집 1
 
1.8%
미포낙지 1
 
1.8%
착한가격착한빵집쉐프윤 1
 
1.8%
Other values (46) 46
80.7%
2023-12-11T01:29:00.806981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 11
 
3.9%
리 11
 
3.9%
수 10
 
3.5%
9
 
3.2%
식 7
 
2.5%
밥 7
 
2.5%
지 7
 
2.5%
한 6
 
2.1%
당 6
 
2.1%
장 5
 
1.8%
Other values (124) 203
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
96.8%
Space Separator 9
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 11
 
4.0%
리 11
 
4.0%
수 10
 
3.7%
식 7
 
2.6%
밥 7
 
2.6%
지 7
 
2.6%
한 6
 
2.2%
당 6
 
2.2%
장 5
 
1.8%
돼 5
 
1.8%
Other values (123) 198
72.5%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
96.8%
Common 9
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 11
 
4.0%
리 11
 
4.0%
수 10
 
3.7%
식 7
 
2.6%
밥 7
 
2.6%
지 7
 
2.6%
한 6
 
2.2%
당 6
 
2.2%
장 5
 
1.8%
돼 5
 
1.8%
Other values (123) 198
72.5%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
96.8%
ASCII 9
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 11
 
4.0%
리 11
 
4.0%
수 10
 
3.7%
식 7
 
2.6%
밥 7
 
2.6%
지 7
 
2.6%
한 6
 
2.2%
당 6
 
2.2%
장 5
 
1.8%
돼 5
 
1.8%
Other values (123) 198
72.5%
ASCII
ValueCountFrequency (%)
9
100.0%

주소(도로명 새주소 명기)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:29:01.112052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length23.857143
Min length19

Characters and Unicode

Total characters1169
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 천제등로 4, 1동 101호 (대연동,남산하이빌)
2nd row부산광역시 남구 진남로25번길 24(대연동)
3rd row부산광역시 남구 용소로21번길3(대연동)
4th row부산광역시 남구 유엔평화로 153(용당동)
5th row부산광역시 남구 우암로154번길 48(우암동)
ValueCountFrequency (%)
부산광역시 49
25.4%
남구 49
25.4%
수영로 3
 
1.6%
못골로 3
 
1.6%
우암로 2
 
1.0%
자유평화로59번길 1
 
0.5%
110번길 1
 
0.5%
196번길 1
 
0.5%
76(용호동 1
 
0.5%
158번길 1
 
0.5%
Other values (82) 82
42.5%
2023-12-11T01:29:01.556852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
12.3%
동 53
 
4.5%
남 53
 
4.5%
1 52
 
4.4%
산 50
 
4.3%
로 49
 
4.2%
) 49
 
4.2%
( 49
 
4.2%
부 49
 
4.2%
광 49
 
4.2%
Other values (58) 572
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
62.2%
Decimal Number 185
 
15.8%
Space Separator 144
 
12.3%
Close Punctuation 49
 
4.2%
Open Punctuation 49
 
4.2%
Dash Punctuation 11
 
0.9%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
7.3%
남 53
 
7.3%
산 50
 
6.9%
로 49
 
6.7%
부 49
 
6.7%
광 49
 
6.7%
구 49
 
6.7%
시 49
 
6.7%
역 49
 
6.7%
번 30
 
4.1%
Other values (43) 247
34.0%
Decimal Number
ValueCountFrequency (%)
1 52
28.1%
2 26
14.1%
6 22
11.9%
3 18
 
9.7%
5 15
 
8.1%
9 12
 
6.5%
4 11
 
5.9%
8 10
 
5.4%
0 10
 
5.4%
7 9
 
4.9%
Space Separator
ValueCountFrequency (%)
144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
62.2%
Common 442
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
7.3%
남 53
 
7.3%
산 50
 
6.9%
로 49
 
6.7%
부 49
 
6.7%
광 49
 
6.7%
구 49
 
6.7%
시 49
 
6.7%
역 49
 
6.7%
번 30
 
4.1%
Other values (43) 247
34.0%
Common
ValueCountFrequency (%)
144
32.6%
1 52
 
11.8%
) 49
 
11.1%
( 49
 
11.1%
2 26
 
5.9%
6 22
 
5.0%
3 18
 
4.1%
5 15
 
3.4%
9 12
 
2.7%
- 11
 
2.5%
Other values (5) 44
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
62.2%
ASCII 442
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
32.6%
1 52
 
11.8%
) 49
 
11.1%
( 49
 
11.1%
2 26
 
5.9%
6 22
 
5.0%
3 18
 
4.1%
5 15
 
3.4%
9 12
 
2.7%
- 11
 
2.5%
Other values (5) 44
 
10.0%
Hangul
ValueCountFrequency (%)
동 53
 
7.3%
남 53
 
7.3%
산 50
 
6.9%
로 49
 
6.7%
부 49
 
6.7%
광 49
 
6.7%
구 49
 
6.7%
시 49
 
6.7%
역 49
 
6.7%
번 30
 
4.1%
Other values (43) 247
34.0%

연락처
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size524.0 B
2023-12-11T01:29:01.811849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters578
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

Unique48 ?
Unique (%)100.0%

Sample

1st row051-636-2834
2nd row0507-1306-4748
3rd row051-623-0229
4th row051-621-5324
5th row051-642-4845
ValueCountFrequency (%)
051-636-2834 1
 
2.1%
0507-1306-4748 1
 
2.1%
051-624-3222 1
 
2.1%
051-637-0460 1
 
2.1%
051-625-8839 1
 
2.1%
051-642-3332 1
 
2.1%
051-647-2896 1
 
2.1%
051-628-1073 1
 
2.1%
051-611-6674 1
 
2.1%
051-612-8527 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T01:29:02.187467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.6%
1 86
14.9%
0 72
12.5%
5 70
12.1%
6 66
11.4%
2 56
9.7%
3 39
6.7%
4 29
 
5.0%
8 23
 
4.0%
7 21
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 482
83.4%
Dash Punctuation 96
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
17.8%
0 72
14.9%
5 70
14.5%
6 66
13.7%
2 56
11.6%
3 39
8.1%
4 29
 
6.0%
8 23
 
4.8%
7 21
 
4.4%
9 20
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.6%
1 86
14.9%
0 72
12.5%
5 70
12.1%
6 66
11.4%
2 56
9.7%
3 39
6.7%
4 29
 
5.0%
8 23
 
4.0%
7 21
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.6%
1 86
14.9%
0 72
12.5%
5 70
12.1%
6 66
11.4%
2 56
9.7%
3 39
6.7%
4 29
 
5.0%
8 23
 
4.0%
7 21
 
3.6%

Correlations

2023-12-11T01:29:02.292226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소(도로명 새주소 명기)연락처
업소명1.0001.0001.000
주소(도로명 새주소 명기)1.0001.0001.000
연락처1.0001.0001.000

Missing values

2023-12-11T01:29:00.026319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:29:00.114604image/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

업소명주소(도로명 새주소 명기)연락처
0명동닭한마리부산광역시 남구 천제등로 4, 1동 101호 (대연동,남산하이빌)051-636-2834
1제일집부산광역시 남구 진남로25번길 24(대연동)0507-1306-4748
2돌고래돼지국밥부산광역시 남구 용소로21번길3(대연동)051-623-0229
3동명식당부산광역시 남구 유엔평화로 153(용당동)051-621-5324
4미담부산광역시 남구 우암로154번길 48(우암동)051-642-4845
5시골돼지국밥부산광역시 남구 석포로20번길4(감만동)051-631-4941
6쌍둥이돼지국밥부산광역시 남구 유엔평화로35-1(대연동)051-628-7020
7아라돈감자탕부산광역시 남구 우암로68(감만동)051-633-0555
8안강식당부산광역시 남구 용호로159번길 119(용호동)051-622-4353
9옛날전통추어탕부산광역시 남구 쳔제등로 37번길 11(대연동)051-627-3357
업소명주소(도로명 새주소 명기)연락처
39헤어드림부산광역시 남구 진남로36번길 31(대연동)051-621-6036
40탱크돈까스부산광역시 남구 수영로219번길56(대연동)051-611-0104
41행복한오리부산광역시 남구 수영로153(대연동)051-623-8292
42쌍둥이네 보리밥부산광역시 남구 옹호로90번길 13-4(용호동)051-622-6188
43두메골 청국장부산광역시 남구 수영로 205-11, 1층(대연동)051-624-1955
44이상재함흥냉면부산광역시 남구 신선로 435(용호동)051-625-5678
45물레수산횟집부산광역시 남구 지게골로 17-12(문현동)051-631-3919
46수화헤어부산광역시 남구 전포대로92번길 6(문현동)051-637-2140
47풍각고향육개장부산광역시 남구 진남로 102(대연동)051-632-9481
48기토식당부산광역시 남구 자유평화로59번길 59(문현동)051-632-2999