Overview

Dataset statistics

Number of variables3
Number of observations52
Missing cells12
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory26.5 B

Variable types

Text3

Dataset

Description부산광역시_기장군_위탁급식영업현황_20220608
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15036278

Alerts

소재지전화 has 12 (23.1%) missing valuesMissing

Reproduction

Analysis started2024-04-21 07:48:31.433233
Analysis finished2024-04-21 07:48:32.218339
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T16:48:32.803901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length11.865385
Min length3

Characters and Unicode

Total characters617
Distinct characters166
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

Unique49 ?
Unique (%)94.2%

Sample

1st row(주)대웅 부산직업능력개발원점
2nd row기장군청구내식당
3rd row한마음푸드
4th row(주)씨엠 디케이오스텍 정관점
5th row(주)풀무원푸드앤컬처 에스엔티모티브 민수식당
ValueCountFrequency (%)
주)대웅 4
 
4.8%
주)풀무원푸드앤컬처 4
 
4.8%
사)부산밥퍼나눔공동체 3
 
3.6%
올리브푸드 3
 
3.6%
주)아워홈 2
 
2.4%
정관점 2
 
2.4%
에스엔티모티브 2
 
2.4%
주)새손 2
 
2.4%
경전철사업소 1
 
1.2%
푸른식당 1
 
1.2%
Other values (59) 59
71.1%
2024-04-21T16:48:33.704834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 32
 
5.2%
) 32
 
5.2%
31
 
5.0%
31
 
5.0%
23
 
3.7%
21
 
3.4%
20
 
3.2%
14
 
2.3%
12
 
1.9%
12
 
1.9%
Other values (156) 389
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
84.0%
Open Punctuation 32
 
5.2%
Close Punctuation 32
 
5.2%
Space Separator 31
 
5.0%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
6.0%
23
 
4.4%
21
 
4.1%
20
 
3.9%
14
 
2.7%
12
 
2.3%
12
 
2.3%
11
 
2.1%
10
 
1.9%
10
 
1.9%
Other values (149) 354
68.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
G 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
84.0%
Common 96
 
15.6%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
6.0%
23
 
4.4%
21
 
4.1%
20
 
3.9%
14
 
2.7%
12
 
2.3%
12
 
2.3%
11
 
2.1%
10
 
1.9%
10
 
1.9%
Other values (149) 354
68.3%
Common
ValueCountFrequency (%)
( 32
33.3%
) 32
33.3%
31
32.3%
- 1
 
1.0%
Latin
ValueCountFrequency (%)
w 1
33.3%
C 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
84.0%
ASCII 99
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 32
32.3%
) 32
32.3%
31
31.3%
- 1
 
1.0%
w 1
 
1.0%
C 1
 
1.0%
G 1
 
1.0%
Hangul
ValueCountFrequency (%)
31
 
6.0%
23
 
4.4%
21
 
4.1%
20
 
3.9%
14
 
2.7%
12
 
2.3%
12
 
2.3%
11
 
2.1%
10
 
1.9%
10
 
1.9%
Other values (149) 354
68.3%
Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T16:48:34.678030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length27.903846
Min length20

Characters and Unicode

Total characters1451
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row부산광역시 기장군 정관읍 산단5로 54
2nd row부산광역시 기장군 기장읍 기장대로 560, 지하1층 (기장군청)
3rd row부산광역시 기장군 정관읍 농공길 37
4th row부산광역시 기장군 정관읍 농공길 23
5th row부산광역시 기장군 철마면 여락송정로 363
ValueCountFrequency (%)
부산광역시 52
16.7%
기장군 52
16.7%
정관읍 23
 
7.4%
장안읍 15
 
4.8%
1층 11
 
3.5%
기장읍 8
 
2.6%
농공길 7
 
2.2%
2층 6
 
1.9%
장안산단9로 6
 
1.9%
지하1층 4
 
1.3%
Other values (107) 128
41.0%
2024-04-21T16:48:36.193552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
17.9%
92
 
6.3%
78
 
5.4%
70
 
4.8%
57
 
3.9%
56
 
3.9%
1 55
 
3.8%
54
 
3.7%
54
 
3.7%
52
 
3.6%
Other values (113) 623
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
63.5%
Space Separator 260
 
17.9%
Decimal Number 207
 
14.3%
Other Punctuation 26
 
1.8%
Close Punctuation 11
 
0.8%
Dash Punctuation 11
 
0.8%
Open Punctuation 11
 
0.8%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
92
 
10.0%
78
 
8.5%
70
 
7.6%
57
 
6.2%
56
 
6.1%
54
 
5.9%
54
 
5.9%
52
 
5.6%
48
 
5.2%
41
 
4.4%
Other values (94) 320
34.7%
Decimal Number
ValueCountFrequency (%)
1 55
26.6%
3 27
13.0%
2 25
12.1%
9 20
 
9.7%
0 18
 
8.7%
4 16
 
7.7%
5 14
 
6.8%
6 13
 
6.3%
7 10
 
4.8%
8 9
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
S 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
& 1
 
3.8%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
63.5%
Common 526
36.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
 
10.0%
78
 
8.5%
70
 
7.6%
57
 
6.2%
56
 
6.1%
54
 
5.9%
54
 
5.9%
52
 
5.6%
48
 
5.2%
41
 
4.4%
Other values (94) 320
34.7%
Common
ValueCountFrequency (%)
260
49.4%
1 55
 
10.5%
3 27
 
5.1%
2 25
 
4.8%
, 25
 
4.8%
9 20
 
3.8%
0 18
 
3.4%
4 16
 
3.0%
5 14
 
2.7%
6 13
 
2.5%
Other values (6) 53
 
10.1%
Latin
ValueCountFrequency (%)
T 1
33.3%
S 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
63.5%
ASCII 529
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
49.1%
1 55
 
10.4%
3 27
 
5.1%
2 25
 
4.7%
, 25
 
4.7%
9 20
 
3.8%
0 18
 
3.4%
4 16
 
3.0%
5 14
 
2.6%
6 13
 
2.5%
Other values (9) 56
 
10.6%
Hangul
ValueCountFrequency (%)
92
 
10.0%
78
 
8.5%
70
 
7.6%
57
 
6.2%
56
 
6.1%
54
 
5.9%
54
 
5.9%
52
 
5.6%
48
 
5.2%
41
 
4.4%
Other values (94) 320
34.7%

소재지전화
Text

MISSING 

Distinct36
Distinct (%)90.0%
Missing12
Missing (%)23.1%
Memory size544.0 B
2024-04-21T16:48:36.925044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.85
Min length12

Characters and Unicode

Total characters554
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)85.0%

Sample

1st row051 -709 -4999
2nd row051 - 582-2126
3rd row051 -509 -2251
4th row051 -509 -2252
5th row051 -713 -0015
ValueCountFrequency (%)
051 29
26.1%
0102 4
 
3.6%
633 4
 
3.6%
727 3
 
2.7%
055 3
 
2.7%
728 3
 
2.7%
7575 2
 
1.8%
02 2
 
1.8%
080 2
 
1.8%
234 2
 
1.8%
Other values (54) 57
51.4%
2024-04-21T16:48:37.838180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
14.4%
0 78
14.1%
73
13.2%
1 66
11.9%
5 64
11.6%
7 46
8.3%
2 43
7.8%
3 31
 
5.6%
9 25
 
4.5%
6 18
 
3.2%
Other values (2) 30
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 401
72.4%
Dash Punctuation 80
 
14.4%
Space Separator 73
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
19.5%
1 66
16.5%
5 64
16.0%
7 46
11.5%
2 43
10.7%
3 31
 
7.7%
9 25
 
6.2%
6 18
 
4.5%
4 17
 
4.2%
8 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Space Separator
ValueCountFrequency (%)
73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
14.4%
0 78
14.1%
73
13.2%
1 66
11.9%
5 64
11.6%
7 46
8.3%
2 43
7.8%
3 31
 
5.6%
9 25
 
4.5%
6 18
 
3.2%
Other values (2) 30
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
14.4%
0 78
14.1%
73
13.2%
1 66
11.9%
5 64
11.6%
7 46
8.3%
2 43
7.8%
3 31
 
5.6%
9 25
 
4.5%
6 18
 
3.2%
Other values (2) 30
 
5.4%

Correlations

2024-04-21T16:48:37.990305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0000.9901.000
소재지(도로명)0.9901.0000.979
소재지전화1.0000.9791.000

Missing values

2024-04-21T16:48:32.036323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:48:32.164431image/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

업소명소재지(도로명)소재지전화
0(주)대웅 부산직업능력개발원점부산광역시 기장군 정관읍 산단5로 54<NA>
1기장군청구내식당부산광역시 기장군 기장읍 기장대로 560, 지하1층 (기장군청)051 -709 -4999
2한마음푸드부산광역시 기장군 정관읍 농공길 37051 - 582-2126
3(주)씨엠 디케이오스텍 정관점부산광역시 기장군 정관읍 농공길 23<NA>
4(주)풀무원푸드앤컬처 에스엔티모티브 민수식당부산광역시 기장군 철마면 여락송정로 363051 -509 -2251
5(주)풀무원푸드앤컬처 에스엔티모티브 방산식당부산광역시 기장군 철마면 여락송정로 363051 -509 -2252
6(주)가내찬신신기계점부산광역시 기장군 정관읍 농공길 85051 -713 -0015
7명진식당부산광역시 기장군 정관읍 곰내길 591-42051-727-0425
8홍안식품상사부산광역시 기장군 정관읍 산단6로 5051 -730 -8176
9가온길부산광역시 기장군 정관읍 산단4로 33051 -727 -4827
업소명소재지(도로명)소재지전화
42올리브푸드 부산여객기장부산광역시 기장군 기장읍 차성로436번길 11, 2층051 -633 -0102
43(주)푸드샘부산광역시 기장군 기장읍 차성로 376, 효사랑데이케어센터<NA>
44오렌지푸드 하서요양원점부산광역시 기장군 정관읍 구연3로 11, 서울프라자 6층 602호 일부호051 -747 -4410
45(주)풀무원푸드앤컬처 에스앤티모티브정관공장부산광역시 기장군 정관읍 산단4로 2-36, S&T기전(주)051 -633 -0102
46올리브푸드 장안한텍테크놀로지점부산광역시 기장군 장안읍 장안산단9로 90 (주)한텍테크놀로지<NA>
47씨제이프레시웨이(주)롯데월드어드벤처부산점부산광역시 기장군 기장읍 동부산관광로 3402 -2149-6114
48(사)부산밥퍼나눔공동체부산광역시 기장군 정관읍 구연3로 27, 2동 1층<NA>
49(사)부산밥퍼나눔공동체부산광역시 기장군 기장읍 차성동로 88-6 (사)대한노인회기장군지회 2,3층<NA>
50(사)부산밥퍼나눔공동체부산광역시 기장군 일광읍 이천길 3, 일광노인복지회관 1층051 -756 -1365
51주식회사 푸드샘 새한누리 정관점부산광역시 기장군 정관읍 정관로 569, 11층 1101호051 -974 -0700