Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells5
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.3 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구_위탁급식영업현황_20220610
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15055754

Alerts

업종명 has constant value ""Constant
소재지전화 has 5 (16.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:12:03.873526
Analysis finished2023-12-10 16:12:04.237781
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
위탁급식영업
31 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row위탁급식영업
2nd row위탁급식영업
3rd row위탁급식영업
4th row위탁급식영업
5th row위탁급식영업

Common Values

ValueCountFrequency (%)
위탁급식영업 31
100.0%

Length

2023-12-11T01:12:04.305420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:04.412228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 31
100.0%

업소명
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:12:04.586278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length15.032258
Min length4

Characters and Unicode

Total characters466
Distinct characters137
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row주식회사 삼구이엔엘
2nd row씨제이프레시웨이(주)부산항터미널감만점
3rd row(주)동원홈푸드 동원부산컨테이너터미널
4th row(주)웰스프레쉬 이마트 문현점
5th row(주)아워홈 한진감만연수원점
ValueCountFrequency (%)
주)아워홈 3
 
5.1%
부경대학교 2
 
3.4%
주)동원홈푸드 2
 
3.4%
소비자생활협동조합 2
 
3.4%
씨제이프레시웨이(주)부산항터미널감만점 1
 
1.7%
삼성웰스토리(주)부산국제금융센터 1
 
1.7%
주)호성식품 1
 
1.7%
시민여객점 1
 
1.7%
푸드시스코리아(부경대점 1
 
1.7%
건강한재단 1
 
1.7%
Other values (44) 44
74.6%
2023-12-11T01:12:04.918464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
6.0%
) 24
 
5.2%
( 24
 
5.2%
주 19
 
4.1%
부 17
 
3.6%
스 14
 
3.0%
점 14
 
3.0%
산 11
 
2.4%
이 9
 
1.9%
에 8
 
1.7%
Other values (127) 298
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
82.4%
Space Separator 28
 
6.0%
Close Punctuation 24
 
5.2%
Open Punctuation 24
 
5.2%
Uppercase Letter 3
 
0.6%
Decimal Number 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
4.9%
부 17
 
4.4%
스 14
 
3.6%
점 14
 
3.6%
산 11
 
2.9%
이 9
 
2.3%
에 8
 
2.1%
동 8
 
2.1%
대 8
 
2.1%
식 8
 
2.1%
Other values (119) 268
69.8%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
2 1
33.3%
1 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
66.7%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
82.4%
Common 79
 
17.0%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
4.9%
부 17
 
4.4%
스 14
 
3.6%
점 14
 
3.6%
산 11
 
2.9%
이 9
 
2.3%
에 8
 
2.1%
동 8
 
2.1%
대 8
 
2.1%
식 8
 
2.1%
Other values (119) 268
69.8%
Common
ValueCountFrequency (%)
28
35.4%
) 24
30.4%
( 24
30.4%
7 1
 
1.3%
2 1
 
1.3%
1 1
 
1.3%
Latin
ValueCountFrequency (%)
P 2
66.7%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
82.4%
ASCII 82
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
34.1%
) 24
29.3%
( 24
29.3%
P 2
 
2.4%
7 1
 
1.2%
2 1
 
1.2%
1 1
 
1.2%
G 1
 
1.2%
Hangul
ValueCountFrequency (%)
주 19
 
4.9%
부 17
 
4.4%
스 14
 
3.6%
점 14
 
3.6%
산 11
 
2.9%
이 9
 
2.3%
에 8
 
2.1%
동 8
 
2.1%
대 8
 
2.1%
식 8
 
2.1%
Other values (119) 268
69.8%

소재지(도로명)
Text

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:12:05.122018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length28.258065
Min length21

Characters and Unicode

Total characters876
Distinct characters95
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

Unique26 ?
Unique (%)83.9%

Sample

1st row부산광역시 남구 신선로 454-20 (용당동)
2nd row부산광역시 남구 북항로 105 (감만동, 한진건물)
3rd row부산광역시 남구 북항로 191 (감만동)
4th row부산광역시 남구 전포대로91번길 47 (문현동)
5th row부산광역시 남구 신선로 102 (감만동)
ValueCountFrequency (%)
부산광역시 31
16.9%
남구 31
16.9%
대연동 10
 
5.5%
용소로 8
 
4.4%
45 8
 
4.4%
신선로 8
 
4.4%
부경대학교 6
 
3.3%
용당동 6
 
3.3%
감만동 5
 
2.7%
문현동 4
 
2.2%
Other values (51) 66
36.1%
2023-12-11T01:12:05.449629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
17.4%
부 42
 
4.8%
산 34
 
3.9%
( 33
 
3.8%
) 33
 
3.8%
동 32
 
3.7%
시 32
 
3.7%
남 32
 
3.7%
구 32
 
3.7%
광 31
 
3.5%
Other values (85) 423
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
61.6%
Space Separator 152
 
17.4%
Decimal Number 100
 
11.4%
Open Punctuation 33
 
3.8%
Close Punctuation 33
 
3.8%
Other Punctuation 16
 
1.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 42
 
7.8%
산 34
 
6.3%
동 32
 
5.9%
시 32
 
5.9%
남 32
 
5.9%
구 32
 
5.9%
광 31
 
5.7%
역 31
 
5.7%
로 31
 
5.7%
용 21
 
3.9%
Other values (70) 222
41.1%
Decimal Number
ValueCountFrequency (%)
4 18
18.0%
1 16
16.0%
5 16
16.0%
2 14
14.0%
0 10
10.0%
9 9
9.0%
3 8
8.0%
6 5
 
5.0%
8 2
 
2.0%
7 2
 
2.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
61.6%
Common 336
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 42
 
7.8%
산 34
 
6.3%
동 32
 
5.9%
시 32
 
5.9%
남 32
 
5.9%
구 32
 
5.9%
광 31
 
5.7%
역 31
 
5.7%
로 31
 
5.7%
용 21
 
3.9%
Other values (70) 222
41.1%
Common
ValueCountFrequency (%)
152
45.2%
( 33
 
9.8%
) 33
 
9.8%
4 18
 
5.4%
, 16
 
4.8%
1 16
 
4.8%
5 16
 
4.8%
2 14
 
4.2%
0 10
 
3.0%
9 9
 
2.7%
Other values (5) 19
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
61.6%
ASCII 336
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
45.2%
( 33
 
9.8%
) 33
 
9.8%
4 18
 
5.4%
, 16
 
4.8%
1 16
 
4.8%
5 16
 
4.8%
2 14
 
4.2%
0 10
 
3.0%
9 9
 
2.7%
Other values (5) 19
 
5.7%
Hangul
ValueCountFrequency (%)
부 42
 
7.8%
산 34
 
6.3%
동 32
 
5.9%
시 32
 
5.9%
남 32
 
5.9%
구 32
 
5.9%
광 31
 
5.7%
역 31
 
5.7%
로 31
 
5.7%
용 21
 
3.9%
Other values (70) 222
41.1%

소재지전화
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing5
Missing (%)16.1%
Memory size380.0 B
2023-12-11T01:12:05.622006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.076923
Min length10

Characters and Unicode

Total characters314
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 (%)92.3%

Sample

1st row051-610-3182
2nd row051-941-0002
3rd row055-371-2502
4th row051-609-1195
5th row051-418-7306
ValueCountFrequency (%)
051-629-5695 2
 
7.7%
051-206-3880 1
 
3.8%
051-610-3182 1
 
3.8%
02-3278-8000 1
 
3.8%
070-8672-1192 1
 
3.8%
055-312-4001 1
 
3.8%
055-380-9913 1
 
3.8%
070-7126-4600 1
 
3.8%
051-629-5692 1
 
3.8%
051-611-5458 1
 
3.8%
Other values (15) 15
57.7%
2023-12-11T01:12:05.934051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
16.9%
- 52
16.6%
5 41
13.1%
1 40
12.7%
6 27
8.6%
2 25
8.0%
7 18
 
5.7%
8 16
 
5.1%
9 15
 
4.8%
4 15
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 262
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
20.2%
5 41
15.6%
1 40
15.3%
6 27
10.3%
2 25
9.5%
7 18
 
6.9%
8 16
 
6.1%
9 15
 
5.7%
4 15
 
5.7%
3 12
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
16.9%
- 52
16.6%
5 41
13.1%
1 40
12.7%
6 27
8.6%
2 25
8.0%
7 18
 
5.7%
8 16
 
5.1%
9 15
 
4.8%
4 15
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
16.9%
- 52
16.6%
5 41
13.1%
1 40
12.7%
6 27
8.6%
2 25
8.0%
7 18
 
5.7%
8 16
 
5.1%
9 15
 
4.8%
4 15
 
4.8%

Correlations

2023-12-11T01:12:06.038790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0000.9680.994
소재지(도로명)0.9681.0000.962
소재지전화0.9940.9621.000

Missing values

2023-12-11T01:12:04.125078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:12:04.203056image/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

업종명업소명소재지(도로명)소재지전화
0위탁급식영업주식회사 삼구이엔엘부산광역시 남구 신선로 454-20 (용당동)051-610-3182
1위탁급식영업씨제이프레시웨이(주)부산항터미널감만점부산광역시 남구 북항로 105 (감만동, 한진건물)051-941-0002
2위탁급식영업(주)동원홈푸드 동원부산컨테이너터미널부산광역시 남구 북항로 191 (감만동)055-371-2502
3위탁급식영업(주)웰스프레쉬 이마트 문현점부산광역시 남구 전포대로91번길 47 (문현동)051-609-1195
4위탁급식영업(주)아워홈 한진감만연수원점부산광역시 남구 신선로 102 (감만동)051-418-7306
5위탁급식영업(주)아워홈 동국제강부산점(부산)부산광역시 남구 신선로 102 (감만동)051-640-5871
6위탁급식영업(파로스)성지공업고등학교급식소부산광역시 남구 유엔로 39 (우암동)<NA>
7위탁급식영업씨제이프레시웨이(주)부산항터미널점부산광역시 남구 신선로 294 (용당동)051-621-4968
8위탁급식영업(주)파로스식품 동명대학교 산학협력관1층부산광역시 남구 신선로 428 (용당동)051-626-4852
9위탁급식영업(주)풀무원푸드앤컬처 한국거래소 부산부산광역시 남구 문현금융로 40 (문현동, 부산국제금융센터 62층)051-860-4303
업종명업소명소재지(도로명)소재지전화
21위탁급식영업부경대학교 소비자생활협동조합부산광역시 남구 신선로 365 (용당동, 부경대학교 용당캠퍼스 한미르관)051-629-5692
22위탁급식영업부경대학교 소비자생활협동조합부산광역시 남구 용소로 45 (대연동, 부경대학교 나비센터식당)051-629-5695
23위탁급식영업부경대생협미래관교직원식당부산광역시 남구 용소로 45 (대연동, 부경대학교 미래관 3층)051-629-5695
24위탁급식영업장원에프엔에스(세종2관)부산광역시 남구 용소로 45 (대연동, 부경대학교 학생생활관(세종2관))070-7126-4600
25위탁급식영업(주)아워홈 한국쉘석유 부산점부산광역시 남구 신선로 250 (용당동)055-380-9913
26위탁급식영업(주)이엠에스 홈플러스 감만점부산광역시 남구 우암로 124, 3층 (감만동, 홈플러스 감만점)<NA>
27위탁급식영업(주)진아푸드 부산시범공단점부산광역시 남구 용호로159번길 94, 10층 (용호동, 부산시범공단)055-312-4001
28위탁급식영업(주)신세계푸드 부산행복연합기숙사부산광역시 남구 용소로 45, 1층 (대연동, 부경대학교)070-8672-1192
29위탁급식영업삼성웰스토리(주)부산국제금융센터부산광역시 남구 문현금융로 40, 부산국제금융센터 지하1층 (문현동)1544-8272-
30위탁급식영업남구지역자활센터 남구한상부산광역시 남구 못골로 19, 남구청 1층 일부호 (대연동)<NA>