Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells3
Missing cells (%)2.4%
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_20210604
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15055754

Alerts

업종명 has constant value ""Constant
소재지전화 has 3 (9.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:12:09.844058
Analysis finished2023-12-10 16:12:10.136416
Duration0.29 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

2023-12-11T01:12:10.195984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:10.279409image/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
2023-12-11T01:12:10.447860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length15.322581
Min length4

Characters and Unicode

Total characters475
Distinct characters141
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 동부부산컨테이너터미널
4th row주)신세계푸드 문현이마트
5th row(주)아워홈 한진감만연수원점
ValueCountFrequency (%)
주)아워홈 3
 
5.0%
부경대학교 2
 
3.3%
소비자생활협동조합 2
 
3.3%
주)동원홈푸드 2
 
3.3%
주)신세계푸드 2
 
3.3%
주)새손 1
 
1.7%
푸드시스코리아(부경대점 1
 
1.7%
재단법인 1
 
1.7%
건강한재단 1
 
1.7%
백경회관식당 1
 
1.7%
Other values (44) 44
73.3%
2023-12-11T01:12:10.756322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.1%
) 25
 
5.3%
( 24
 
5.1%
주 20
 
4.2%
부 19
 
4.0%
스 14
 
2.9%
점 13
 
2.7%
산 12
 
2.5%
식 9
 
1.9%
드 8
 
1.7%
Other values (131) 302
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
82.3%
Space Separator 29
 
6.1%
Close Punctuation 25
 
5.3%
Open Punctuation 24
 
5.1%
Uppercase Letter 3
 
0.6%
Decimal Number 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
5.1%
부 19
 
4.9%
스 14
 
3.6%
점 13
 
3.3%
산 12
 
3.1%
식 9
 
2.3%
드 8
 
2.0%
푸 8
 
2.0%
이 8
 
2.0%
에 8
 
2.0%
Other values (123) 272
69.6%
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 (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
82.3%
Common 81
 
17.1%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
5.1%
부 19
 
4.9%
스 14
 
3.6%
점 13
 
3.3%
산 12
 
3.1%
식 9
 
2.3%
드 8
 
2.0%
푸 8
 
2.0%
이 8
 
2.0%
에 8
 
2.0%
Other values (123) 272
69.6%
Common
ValueCountFrequency (%)
29
35.8%
) 25
30.9%
( 24
29.6%
7 1
 
1.2%
2 1
 
1.2%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
P 2
66.7%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
82.3%
ASCII 84
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
34.5%
) 25
29.8%
( 24
28.6%
P 2
 
2.4%
7 1
 
1.2%
2 1
 
1.2%
1 1
 
1.2%
G 1
 
1.2%
Hangul
ValueCountFrequency (%)
주 20
 
5.1%
부 19
 
4.9%
스 14
 
3.6%
점 13
 
3.3%
산 12
 
3.1%
식 9
 
2.3%
드 8
 
2.0%
푸 8
 
2.0%
이 8
 
2.0%
에 8
 
2.0%
Other values (123) 272
69.6%

소재지(도로명)
Text

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:12:10.991861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length28.16129
Min length21

Characters and Unicode

Total characters873
Distinct characters94
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
17.0%
남구 31
17.0%
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 (50) 65
35.7%
2023-12-11T01:12:11.333359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
17.3%
부 41
 
4.7%
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
 
3.6%
Other values (84) 422
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
61.5%
Space Separator 151
 
17.3%
Decimal Number 100
 
11.5%
Open Punctuation 33
 
3.8%
Close Punctuation 33
 
3.8%
Other Punctuation 17
 
1.9%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 41
 
7.6%
산 34
 
6.3%
동 32
 
6.0%
시 32
 
6.0%
남 32
 
6.0%
구 32
 
6.0%
광 31
 
5.8%
역 31
 
5.8%
로 31
 
5.8%
용 21
 
3.9%
Other values (69) 220
41.0%
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 (%)
151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
61.5%
Common 336
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 41
 
7.6%
산 34
 
6.3%
동 32
 
6.0%
시 32
 
6.0%
남 32
 
6.0%
구 32
 
6.0%
광 31
 
5.8%
역 31
 
5.8%
로 31
 
5.8%
용 21
 
3.9%
Other values (69) 220
41.0%
Common
ValueCountFrequency (%)
151
44.9%
( 33
 
9.8%
) 33
 
9.8%
4 18
 
5.4%
, 17
 
5.1%
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 537
61.5%
ASCII 336
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
44.9%
( 33
 
9.8%
) 33
 
9.8%
4 18
 
5.4%
, 17
 
5.1%
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 41
 
7.6%
산 34
 
6.3%
동 32
 
6.0%
시 32
 
6.0%
남 32
 
6.0%
구 32
 
6.0%
광 31
 
5.8%
역 31
 
5.8%
로 31
 
5.8%
용 21
 
3.9%
Other values (69) 220
41.0%

소재지전화
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing3
Missing (%)9.7%
Memory size380.0 B
2023-12-11T01:12:11.513112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.142857
Min length12

Characters and Unicode

Total characters340
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

Unique26 ?
Unique (%)92.9%

Sample

1st row051-610-3182
2nd row051-941-0002
3rd row055-371-2503
4th row051-609-1195
5th row051-418-7306
ValueCountFrequency (%)
051-629-5695 2
 
7.1%
051-557-7000 1
 
3.6%
051-610-3182 1
 
3.6%
051-206-3880 1
 
3.6%
070-8672-1192 1
 
3.6%
055-312-4001 1
 
3.6%
054-460-5000 1
 
3.6%
055-380-9913 1
 
3.6%
070-7126-4600 1
 
3.6%
051-831-2820 1
 
3.6%
Other values (17) 17
60.7%
2023-12-11T01:12:11.822731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
18.5%
- 56
16.5%
5 46
13.5%
1 41
12.1%
6 28
8.2%
2 25
 
7.4%
7 17
 
5.0%
8 17
 
5.0%
9 16
 
4.7%
4 16
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 284
83.5%
Dash Punctuation 56
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
22.2%
5 46
16.2%
1 41
14.4%
6 28
9.9%
2 25
 
8.8%
7 17
 
6.0%
8 17
 
6.0%
9 16
 
5.6%
4 16
 
5.6%
3 15
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
18.5%
- 56
16.5%
5 46
13.5%
1 41
12.1%
6 28
8.2%
2 25
 
7.4%
7 17
 
5.0%
8 17
 
5.0%
9 16
 
4.7%
4 16
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
18.5%
- 56
16.5%
5 46
13.5%
1 41
12.1%
6 28
8.2%
2 25
 
7.4%
7 17
 
5.0%
8 17
 
5.0%
9 16
 
4.7%
4 16
 
4.7%

Correlations

2023-12-11T01:12:11.909097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0000.9680.995
소재지(도로명)0.9681.0000.967
소재지전화0.9950.9671.000

Missing values

2023-12-11T01:12:10.044470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:12:10.109376image/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 동부부산컨테이너터미널부산광역시 남구 북항로 191 (감만동)055-371-2503
3위탁급식영업주)신세계푸드 문현이마트부산광역시 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
24위탁급식영업(주)새손 부산남구청부산광역시 남구 못골로 19, 1층 (대연동, 남구청)051-831-2820
25위탁급식영업장원에프엔에스(세종2관)부산광역시 남구 용소로 45 (대연동, 부경대학교 학생생활관(세종2관))070-7126-4600
26위탁급식영업(주)아워홈 한국쉘석유 부산점부산광역시 남구 신선로 250 (용당동)055-380-9913
27위탁급식영업에스티엑스리조트(주) 홈플러스 감만점부산광역시 남구 우암로 124, 3층 (감만동, 홈플러스 감만점)054-460-5000
28위탁급식영업(주)씨엠 부산시범공단점부산광역시 남구 용호로159번길 94, 10층 (용호동, 부산시범공단)055-312-4001
29위탁급식영업(주)신세계푸드 부산행복연합기숙사부산광역시 남구 용소로 45, 1층 (대연동, 부경대학교)070-8672-1192
30위탁급식영업삼성웰스토리(주)부산국제금융센터부산광역시 남구 문현금융로 40, 부산국제금융센터 지하1층 (문현동)055-340-2590