Overview

Dataset statistics

Number of variables3
Number of observations47
Missing cells11
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory26.7 B

Variable types

Text3

Dataset

Description부산광역시_기장군_위탁급식영업현황_20200618
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15036278

Alerts

소재지전화 has 11 (23.4%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:48:22.490883
Analysis finished2024-04-21 07:48:23.523410
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T16:48:24.214617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length11.468085
Min length3

Characters and Unicode

Total characters539
Distinct characters156
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 (%)100.0%

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
 
5.2%
주)풀무원푸드앤컬처 4
 
5.2%
올리브푸드 3
 
3.9%
주)새손 2
 
2.6%
에스엔티모티브 2
 
2.6%
부산교통공사 1
 
1.3%
푸른식당 1
 
1.3%
주)진주랑 1
 
1.3%
코스모점 1
 
1.3%
경전철사업소 1
 
1.3%
Other values (57) 57
74.0%
2024-04-21T16:48:25.475195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
5.6%
30
 
5.6%
( 28
 
5.2%
) 28
 
5.2%
20
 
3.7%
20
 
3.7%
17
 
3.2%
12
 
2.2%
10
 
1.9%
10
 
1.9%
Other values (146) 334
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
83.3%
Space Separator 30
 
5.6%
Open Punctuation 28
 
5.2%
Close Punctuation 28
 
5.2%
Uppercase Letter 2
 
0.4%
Dash Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
6.7%
20
 
4.5%
20
 
4.5%
17
 
3.8%
12
 
2.7%
10
 
2.2%
10
 
2.2%
9
 
2.0%
9
 
2.0%
9
 
2.0%
Other values (139) 303
67.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
83.3%
Common 87
 
16.1%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
6.7%
20
 
4.5%
20
 
4.5%
17
 
3.8%
12
 
2.7%
10
 
2.2%
10
 
2.2%
9
 
2.0%
9
 
2.0%
9
 
2.0%
Other values (139) 303
67.5%
Common
ValueCountFrequency (%)
30
34.5%
( 28
32.2%
) 28
32.2%
- 1
 
1.1%
Latin
ValueCountFrequency (%)
w 1
33.3%
G 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
83.3%
ASCII 90
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
6.7%
20
 
4.5%
20
 
4.5%
17
 
3.8%
12
 
2.7%
10
 
2.2%
10
 
2.2%
9
 
2.0%
9
 
2.0%
9
 
2.0%
Other values (139) 303
67.5%
ASCII
ValueCountFrequency (%)
30
33.3%
( 28
31.1%
) 28
31.1%
- 1
 
1.1%
w 1
 
1.1%
G 1
 
1.1%
C 1
 
1.1%
Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T16:48:26.495427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length27.531915
Min length20

Characters and Unicode

Total characters1294
Distinct characters119
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

Unique45 ?
Unique (%)95.7%

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 47
16.8%
기장군 47
16.8%
정관읍 21
 
7.5%
장안읍 15
 
5.4%
1층 9
 
3.2%
농공길 7
 
2.5%
장안산단9로 6
 
2.2%
2층 6
 
2.2%
기장읍 6
 
2.2%
지하1층 4
 
1.4%
Other values (93) 111
39.8%
2024-04-21T16:48:27.938364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
17.9%
84
 
6.5%
72
 
5.6%
62
 
4.8%
51
 
3.9%
49
 
3.8%
48
 
3.7%
48
 
3.7%
1 48
 
3.7%
47
 
3.6%
Other values (109) 553
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
63.6%
Space Separator 232
 
17.9%
Decimal Number 184
 
14.2%
Other Punctuation 22
 
1.7%
Close Punctuation 10
 
0.8%
Open Punctuation 10
 
0.8%
Dash Punctuation 10
 
0.8%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
 
10.2%
72
 
8.7%
62
 
7.5%
51
 
6.2%
49
 
6.0%
48
 
5.8%
48
 
5.8%
47
 
5.7%
42
 
5.1%
37
 
4.5%
Other values (90) 283
34.4%
Decimal Number
ValueCountFrequency (%)
1 48
26.1%
3 23
12.5%
2 22
12.0%
9 19
 
10.3%
0 17
 
9.2%
4 15
 
8.2%
5 13
 
7.1%
6 11
 
6.0%
7 9
 
4.9%
8 7
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
T 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
& 1
 
4.5%
Space Separator
ValueCountFrequency (%)
232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
63.6%
Common 468
36.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
 
10.2%
72
 
8.7%
62
 
7.5%
51
 
6.2%
49
 
6.0%
48
 
5.8%
48
 
5.8%
47
 
5.7%
42
 
5.1%
37
 
4.5%
Other values (90) 283
34.4%
Common
ValueCountFrequency (%)
232
49.6%
1 48
 
10.3%
3 23
 
4.9%
2 22
 
4.7%
, 21
 
4.5%
9 19
 
4.1%
0 17
 
3.6%
4 15
 
3.2%
5 13
 
2.8%
6 11
 
2.4%
Other values (6) 47
 
10.0%
Latin
ValueCountFrequency (%)
S 1
33.3%
T 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
63.6%
ASCII 471
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
49.3%
1 48
 
10.2%
3 23
 
4.9%
2 22
 
4.7%
, 21
 
4.5%
9 19
 
4.0%
0 17
 
3.6%
4 15
 
3.2%
5 13
 
2.8%
6 11
 
2.3%
Other values (9) 50
 
10.6%
Hangul
ValueCountFrequency (%)
84
 
10.2%
72
 
8.7%
62
 
7.5%
51
 
6.2%
49
 
6.0%
48
 
5.8%
48
 
5.8%
47
 
5.7%
42
 
5.1%
37
 
4.5%
Other values (90) 283
34.4%

소재지전화
Text

MISSING 

Distinct32
Distinct (%)88.9%
Missing11
Missing (%)23.4%
Memory size504.0 B
2024-04-21T16:48:28.619957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.833333
Min length12

Characters and Unicode

Total characters498
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

Unique30 ?
Unique (%)83.3%

Sample

1st row051 -709 -4999
2nd row051 - 582-2126
3rd row051 -509 -2251
4th row051 -509 -2252
5th row051 -713 -0015
ValueCountFrequency (%)
051 27
26.7%
0102 4
 
4.0%
633 4
 
4.0%
727 3
 
3.0%
055 3
 
3.0%
728 3
 
3.0%
080 2
 
2.0%
234 2
 
2.0%
7575 2
 
2.0%
509 2
 
2.0%
Other values (47) 49
48.5%
2024-04-21T16:48:29.737881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
14.5%
0 70
14.1%
66
13.3%
1 60
12.0%
5 59
11.8%
2 40
8.0%
7 39
7.8%
3 30
6.0%
9 21
 
4.2%
6 15
 
3.0%
Other values (2) 26
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
72.3%
Dash Punctuation 72
 
14.5%
Space Separator 66
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70
19.4%
1 60
16.7%
5 59
16.4%
2 40
11.1%
7 39
10.8%
3 30
8.3%
9 21
 
5.8%
6 15
 
4.2%
8 13
 
3.6%
4 13
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
14.5%
0 70
14.1%
66
13.3%
1 60
12.0%
5 59
11.8%
2 40
8.0%
7 39
7.8%
3 30
6.0%
9 21
 
4.2%
6 15
 
3.0%
Other values (2) 26
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
14.5%
0 70
14.1%
66
13.3%
1 60
12.0%
5 59
11.8%
2 40
8.0%
7 39
7.8%
3 30
6.0%
9 21
 
4.2%
6 15
 
3.0%
Other values (2) 26
 
5.2%

Correlations

2024-04-21T16:48:29.890490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0001.0001.000
소재지(도로명)1.0001.0000.974
소재지전화1.0000.9741.000

Missing values

2024-04-21T16:48:23.180365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:48:23.426565image/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 591-420517-2704-25
8홍안식품상사부산광역시 기장군 정관읍 산단6로 5051 -730 -8176
9가온길부산광역시 기장군 정관읍 산단4로 33051 -727 -4827
업소명소재지(도로명)소재지전화
37(주)아워홈 디알액시온 부산장안점부산광역시 기장군 장안읍 장안산단9로 140 (주)디알액시온 2층080 -234 -7575
38(주)아워홈디알액시온부산본점부산광역시 기장군 정관읍 농공길 2-127, 2층080 -234 -7575
39올리브푸드 동부산공영차고지기장부산광역시 기장군 기장읍 기장대로 313, 동부산 시내버스 공영차고지 1동 1층051 -633 -0102
40공단휴게식당부산광역시 기장군 정관읍 산단4로 49, 제4동 지하1층051 -728 -2275
41(주)풀무원푸드앤컬처 신세계사이먼부산점부산광역시 기장군 장안읍 정관로 1133, 부산프리미엄아울렛 지하1층051 -633 -0102
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>