Overview

Dataset statistics

Number of variables3
Number of observations51
Missing cells3
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory26.6 B

Variable types

Text3

Dataset

Description부산광역시남구_착한가격업소현황_20230911
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060232

Alerts

연락처 has 3 (5.9%) missing valuesMissing
업소명 has unique valuesUnique
주소(도로명 새주소 명기) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:28:56.345413
Analysis finished2023-12-10 16:28:56.630922
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:28:56.784258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.7254902
Min length2

Characters and Unicode

Total characters292
Distinct characters139
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

Unique51 ?
Unique (%)100.0%

Sample

1st row명동닭한마리
2nd row제일집
3rd row돌고래돼지국밥
4th row동명식당
5th row미담
ValueCountFrequency (%)
보리밥 2
 
3.4%
명동닭한마리 1
 
1.7%
에끼카레 1
 
1.7%
개미식당 1
 
1.7%
남보현 1
 
1.7%
국수집 1
 
1.7%
미포낙지 1
 
1.7%
착한가격착한빵집쉐프윤 1
 
1.7%
시장통 1
 
1.7%
칼국수 1
 
1.7%
Other values (48) 48
81.4%
2023-12-11T01:28:57.119914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 12
 
4.1%
수 11
 
3.8%
리 11
 
3.8%
9
 
3.1%
식 7
 
2.4%
밥 7
 
2.4%
지 7
 
2.4%
한 6
 
2.1%
어 6
 
2.1%
당 6
 
2.1%
Other values (129) 210
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
96.9%
Space Separator 9
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 12
 
4.2%
수 11
 
3.9%
리 11
 
3.9%
식 7
 
2.5%
밥 7
 
2.5%
지 7
 
2.5%
한 6
 
2.1%
어 6
 
2.1%
당 6
 
2.1%
돼 5
 
1.8%
Other values (128) 205
72.4%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
96.9%
Common 9
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 12
 
4.2%
수 11
 
3.9%
리 11
 
3.9%
식 7
 
2.5%
밥 7
 
2.5%
지 7
 
2.5%
한 6
 
2.1%
어 6
 
2.1%
당 6
 
2.1%
돼 5
 
1.8%
Other values (128) 205
72.4%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
96.9%
ASCII 9
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 12
 
4.2%
수 11
 
3.9%
리 11
 
3.9%
식 7
 
2.5%
밥 7
 
2.5%
지 7
 
2.5%
한 6
 
2.1%
어 6
 
2.1%
당 6
 
2.1%
돼 5
 
1.8%
Other values (128) 205
72.4%
ASCII
ValueCountFrequency (%)
9
100.0%

주소(도로명 새주소 명기)
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:28:57.314886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length23.745098
Min length19

Characters and Unicode

Total characters1211
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

Unique51 ?
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 51
25.1%
남구 51
25.1%
못골로 3
 
1.5%
수영로 3
 
1.5%
천제등로 2
 
1.0%
석포로 2
 
1.0%
우암로 2
 
1.0%
용호로 2
 
1.0%
1층(대연동 2
 
1.0%
26(대연동 1
 
0.5%
Other values (84) 84
41.4%
2023-12-11T01:28:57.641658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
12.6%
동 55
 
4.5%
남 55
 
4.5%
산 52
 
4.3%
1 52
 
4.3%
( 51
 
4.2%
) 51
 
4.2%
로 51
 
4.2%
부 51
 
4.2%
구 51
 
4.2%
Other values (58) 590
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 753
62.2%
Decimal Number 188
 
15.5%
Space Separator 152
 
12.6%
Open Punctuation 51
 
4.2%
Close Punctuation 51
 
4.2%
Dash Punctuation 11
 
0.9%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 55
 
7.3%
남 55
 
7.3%
산 52
 
6.9%
로 51
 
6.8%
부 51
 
6.8%
구 51
 
6.8%
시 51
 
6.8%
역 51
 
6.8%
광 51
 
6.8%
번 29
 
3.9%
Other values (43) 256
34.0%
Decimal Number
ValueCountFrequency (%)
1 52
27.7%
2 26
13.8%
6 21
11.2%
3 19
 
10.1%
5 15
 
8.0%
9 14
 
7.4%
4 11
 
5.9%
0 11
 
5.9%
8 10
 
5.3%
7 9
 
4.8%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
62.2%
Common 458
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 55
 
7.3%
남 55
 
7.3%
산 52
 
6.9%
로 51
 
6.8%
부 51
 
6.8%
구 51
 
6.8%
시 51
 
6.8%
역 51
 
6.8%
광 51
 
6.8%
번 29
 
3.9%
Other values (43) 256
34.0%
Common
ValueCountFrequency (%)
152
33.2%
1 52
 
11.4%
( 51
 
11.1%
) 51
 
11.1%
2 26
 
5.7%
6 21
 
4.6%
3 19
 
4.1%
5 15
 
3.3%
9 14
 
3.1%
- 11
 
2.4%
Other values (5) 46
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 753
62.2%
ASCII 458
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
33.2%
1 52
 
11.4%
( 51
 
11.1%
) 51
 
11.1%
2 26
 
5.7%
6 21
 
4.6%
3 19
 
4.1%
5 15
 
3.3%
9 14
 
3.1%
- 11
 
2.4%
Other values (5) 46
 
10.0%
Hangul
ValueCountFrequency (%)
동 55
 
7.3%
남 55
 
7.3%
산 52
 
6.9%
로 51
 
6.8%
부 51
 
6.8%
구 51
 
6.8%
시 51
 
6.8%
역 51
 
6.8%
광 51
 
6.8%
번 29
 
3.9%
Other values (43) 256
34.0%

연락처
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing3
Missing (%)5.9%
Memory size540.0 B
2023-12-11T01:28:57.847438image/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 (%)
0507-1306-4748 1
 
2.1%
051-623-0229 1
 
2.1%
051-624-3222 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%
051-926-4121 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T01:28:58.183603image/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 57
9.9%
3 37
 
6.4%
4 28
 
4.8%
8 25
 
4.3%
9 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 57
11.8%
3 37
7.7%
4 28
 
5.8%
8 25
 
5.2%
9 21
 
4.4%
7 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 57
9.9%
3 37
 
6.4%
4 28
 
4.8%
8 25
 
4.3%
9 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 57
9.9%
3 37
 
6.4%
4 28
 
4.8%
8 25
 
4.3%
9 21
 
3.6%

Correlations

2023-12-11T01:28:58.271999image/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

2023-12-11T01:28:56.528500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:28:56.602508image/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
41쌍둥이네 보리밥부산광역시 남구 옹호로90번길 13-4(용호동)051-622-6188
42두메골 청국장부산광역시 남구 수영로 205-11, 1층(대연동)051-624-1955
43이상재함흥냉면부산광역시 남구 신선로 435(용호동)051-625-5678
44물레수산횟집부산광역시 남구 지게골로 17-12(문현동)051-631-3919
45수화헤어부산광역시 남구 전포대로92번길 6(문현동)051-637-2140
46풍각고향육개장부산광역시 남구 진남로 102(대연동)051-632-9481
47기토식당부산광역시 남구 자유평화로59번길 59(문현동)051-632-2999
48김현태베이커리부산광역시 남구 용호로 99(용호동)<NA>
49국수나라부산광역시 남구 천제등로 30, 1층(대연동)051-628-9983
50경아헤어샵부산광역시 남구 석포로 53(감만동)<NA>