Overview

Dataset statistics

Number of variables4
Number of observations51
Missing cells18
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory34.6 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 해운대구 위탁급식업 현황에 대한 데이터로 업종명, 업소명, 소재지 주소(도로명 주소), 연락처 정보를 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075719/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 18 (35.3%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:35:39.039720
Analysis finished2023-12-12 20:35:39.384335
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
위탁급식영업
51 

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 51
100.0%

Length

2023-12-13T05:35:39.443857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:39.539032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 51
100.0%
Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T05:35:39.778651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length13.588235
Min length3

Characters and Unicode

Total characters693
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)92.2%

Sample

1st row산내들푸드서비스
2nd row신세계푸드 조선비치호텔
3rd row(주)풀무원푸드앤컬처 삼성생명해운대연수소
4th row신세계푸드 이마트 해운대점
5th row(주)씨엠 동부지원점
ValueCountFrequency (%)
해운대점 3
 
3.2%
주)풀무원푸드앤컬처 3
 
3.2%
주식회사 3
 
3.2%
신세계푸드 3
 
3.2%
주)웰스프레쉬 3
 
3.2%
센텀시티점 2
 
2.1%
홈플러스 2
 
2.1%
올리브푸드 2
 
2.1%
오스템임플란트 2
 
2.1%
오렌지푸드 2
 
2.1%
Other values (68) 70
73.7%
2023-12-13T05:35:40.245933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
6.3%
31
 
4.5%
( 28
 
4.0%
) 28
 
4.0%
24
 
3.5%
24
 
3.5%
22
 
3.2%
22
 
3.2%
15
 
2.2%
15
 
2.2%
Other values (164) 440
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
84.6%
Space Separator 44
 
6.3%
Open Punctuation 28
 
4.0%
Close Punctuation 28
 
4.0%
Uppercase Letter 5
 
0.7%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
5.3%
24
 
4.1%
24
 
4.1%
22
 
3.8%
22
 
3.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
12
 
2.0%
Other values (154) 394
67.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
F 1
20.0%
S 1
20.0%
N 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
84.6%
Common 102
 
14.7%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
5.3%
24
 
4.1%
24
 
4.1%
22
 
3.8%
22
 
3.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
12
 
2.0%
Other values (154) 394
67.2%
Common
ValueCountFrequency (%)
44
43.1%
( 28
27.5%
) 28
27.5%
2 1
 
1.0%
- 1
 
1.0%
Latin
ValueCountFrequency (%)
K 1
20.0%
F 1
20.0%
S 1
20.0%
N 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
84.6%
ASCII 107
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
41.1%
( 28
26.2%
) 28
26.2%
K 1
 
0.9%
2 1
 
0.9%
F 1
 
0.9%
S 1
 
0.9%
N 1
 
0.9%
- 1
 
0.9%
C 1
 
0.9%
Hangul
ValueCountFrequency (%)
31
 
5.3%
24
 
4.1%
24
 
4.1%
22
 
3.8%
22
 
3.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
12
 
2.0%
Other values (154) 394
67.2%
Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T05:35:40.574135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length35.333333
Min length22

Characters and Unicode

Total characters1802
Distinct characters142
Distinct categories9 ?
Distinct scripts3 ?
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 해운대구 반여로41번길 36, 성철사 (반여동)
2nd row부산광역시 해운대구 동백로 67 (우동)
3rd row부산광역시 해운대구 좌동순환로468번가길 5-11 (중동)
4th row부산광역시 해운대구 좌동순환로 511 (중동)
5th row부산광역시 해운대구 재반로112번길 20 (재송동, 동부지원지하1층)
ValueCountFrequency (%)
부산광역시 51
 
14.7%
해운대구 51
 
14.7%
우동 15
 
4.3%
좌동 11
 
3.2%
해운대로 9
 
2.6%
지하2층 7
 
2.0%
석대동 6
 
1.7%
중동 6
 
1.7%
1층 6
 
1.7%
반송로513번길 5
 
1.4%
Other values (139) 181
52.0%
2023-12-13T05:35:41.080703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
16.5%
84
 
4.7%
76
 
4.2%
76
 
4.2%
65
 
3.6%
63
 
3.5%
62
 
3.4%
1 56
 
3.1%
55
 
3.1%
52
 
2.9%
Other values (132) 916
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1106
61.4%
Space Separator 297
 
16.5%
Decimal Number 233
 
12.9%
Open Punctuation 51
 
2.8%
Close Punctuation 51
 
2.8%
Other Punctuation 48
 
2.7%
Dash Punctuation 7
 
0.4%
Uppercase Letter 7
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
 
7.6%
76
 
6.9%
76
 
6.9%
65
 
5.9%
63
 
5.7%
62
 
5.6%
55
 
5.0%
52
 
4.7%
51
 
4.6%
51
 
4.6%
Other values (111) 471
42.6%
Decimal Number
ValueCountFrequency (%)
1 56
24.0%
2 35
15.0%
3 31
13.3%
6 19
 
8.2%
4 19
 
8.2%
5 18
 
7.7%
0 17
 
7.3%
9 15
 
6.4%
7 13
 
5.6%
8 10
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
N 3
42.9%
A 1
 
14.3%
K 1
 
14.3%
C 1
 
14.3%
B 1
 
14.3%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1106
61.4%
Common 689
38.2%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
 
7.6%
76
 
6.9%
76
 
6.9%
65
 
5.9%
63
 
5.7%
62
 
5.6%
55
 
5.0%
52
 
4.7%
51
 
4.6%
51
 
4.6%
Other values (111) 471
42.6%
Common
ValueCountFrequency (%)
297
43.1%
1 56
 
8.1%
( 51
 
7.4%
) 51
 
7.4%
, 48
 
7.0%
2 35
 
5.1%
3 31
 
4.5%
6 19
 
2.8%
4 19
 
2.8%
5 18
 
2.6%
Other values (6) 64
 
9.3%
Latin
ValueCountFrequency (%)
N 3
42.9%
A 1
 
14.3%
K 1
 
14.3%
C 1
 
14.3%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1106
61.4%
ASCII 696
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
42.7%
1 56
 
8.0%
( 51
 
7.3%
) 51
 
7.3%
, 48
 
6.9%
2 35
 
5.0%
3 31
 
4.5%
6 19
 
2.7%
4 19
 
2.7%
5 18
 
2.6%
Other values (11) 71
 
10.2%
Hangul
ValueCountFrequency (%)
84
 
7.6%
76
 
6.9%
76
 
6.9%
65
 
5.9%
63
 
5.7%
62
 
5.6%
55
 
5.0%
52
 
4.7%
51
 
4.6%
51
 
4.6%
Other values (111) 471
42.6%

소재지전화
Text

MISSING 

Distinct31
Distinct (%)93.9%
Missing18
Missing (%)35.3%
Memory size540.0 B
2023-12-13T05:35:41.315288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique29 ?
Unique (%)87.9%

Sample

1st row051-796-5619
2nd row051-749-7248
3rd row051-740-1423
4th row051-608-1195
5th row051-312-4002
ValueCountFrequency (%)
055-723-2402 2
 
6.1%
051-633-0102 2
 
6.1%
051-522-2076 1
 
3.0%
051-796-5619 1
 
3.0%
051-714-1322 1
 
3.0%
051-780-4695 1
 
3.0%
031-748-3600 1
 
3.0%
031-739-5580 1
 
3.0%
051-746-1065 1
 
3.0%
051-702-3344 1
 
3.0%
Other values (21) 21
63.6%
2023-12-13T05:35:41.713626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.6%
0 62
15.6%
5 55
13.9%
1 53
13.4%
7 34
8.6%
2 29
7.3%
4 26
 
6.5%
3 25
 
6.3%
9 18
 
4.5%
8 15
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
18.7%
5 55
16.6%
1 53
16.0%
7 34
10.3%
2 29
8.8%
4 26
7.9%
3 25
7.6%
9 18
 
5.4%
8 15
 
4.5%
6 14
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.6%
0 62
15.6%
5 55
13.9%
1 53
13.4%
7 34
8.6%
2 29
7.3%
4 26
 
6.5%
3 25
 
6.3%
9 18
 
4.5%
8 15
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.6%
0 62
15.6%
5 55
13.9%
1 53
13.4%
7 34
8.6%
2 29
7.3%
4 26
 
6.5%
3 25
 
6.3%
9 18
 
4.5%
8 15
 
3.8%

Correlations

2023-12-13T05:35:41.828243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0001.0001.000
소재지(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-13T05:35:39.283536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:35:39.354562image/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
0위탁급식영업산내들푸드서비스부산광역시 해운대구 반여로41번길 36, 성철사 (반여동)051-796-5619
1위탁급식영업신세계푸드 조선비치호텔부산광역시 해운대구 동백로 67 (우동)051-749-7248
2위탁급식영업(주)풀무원푸드앤컬처 삼성생명해운대연수소부산광역시 해운대구 좌동순환로468번가길 5-11 (중동)051-740-1423
3위탁급식영업신세계푸드 이마트 해운대점부산광역시 해운대구 좌동순환로 511 (중동)051-608-1195
4위탁급식영업(주)씨엠 동부지원점부산광역시 해운대구 재반로112번길 20 (재송동, 동부지원지하1층)051-312-4002
5위탁급식영업(주)풀무원푸드앤컬처 성모안과병원부산부산광역시 해운대구 해운대로 409 (우동)<NA>
6위탁급식영업씨제이프레시웨이(주)풍산 부산사업장부산광역시 해운대구 선수촌로 230 (반여동)051-520-8124
7위탁급식영업오션타워구내식당부산광역시 해운대구 해운대해변로 203 (우동, 오션타워지하2층)<NA>
8위탁급식영업(주)웰스프레쉬 홈플러스 해운대점부산광역시 해운대구 해운대해변로 140 (우동, 홈플러스해운대점)055-723-2402
9위탁급식영업롯데쇼핑(주)센텀시티점부산광역시 해운대구 센텀남대로 59 (우동, 지하2층)051-808-9838
업종명업소명소재지(도로명)소재지전화
41위탁급식영업(주)씨제이프레시웨이 부산외국인학교점부산광역시 해운대구 대천로67번길 45, 부산외국인학교 1층 (좌동)051-747-7199
42위탁급식영업(주)다조에프앤에스 해운대세무서점부산광역시 해운대구 좌동순환로 17, 해운대세무서 1층 (좌동)051-915-7474
43위탁급식영업위드밀부산광역시 해운대구 반송순환로 142, 영산대학교 해운대캠퍼스 학생생활관 (반송동)<NA>
44위탁급식영업위드밀부산광역시 해운대구 반송순환로 142, 영산대학교 해운대캠퍼스 A동 1층 (반송동)<NA>
45위탁급식영업비앤에스푸드 이노아이티부산광역시 해운대구 센텀서로 24, KNN 아트센터 1층 (우동)<NA>
46위탁급식영업(주)정성나눔 살루스데이케어부산광역시 해운대구 좌동로 88, 울트라타워 4층 (좌동)051-522-8296
47위탁급식영업(주)현대그린푸드 오스템임플란트 부산부산광역시 해운대구 반송로513번길 66-16, 오스템임플란트 생산본부 (석대동)<NA>
48위탁급식영업해운대집밥 좌동점부산광역시 해운대구 양운로37번길 59, 해운대구보건소 별관 4층 (좌동)051-543-0015
49위탁급식영업오렌지푸드부산광역시 해운대구 양운로 92, 나하나빌딩 2, 3층 (좌동)<NA>
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