Overview

Dataset statistics

Number of variables3
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory27.0 B

Variable types

Text3

Dataset

Description부산광역시 중구 관내의 결식 아동 지정 급식소 현황에 대한 데이터로 결식아동지정급식소 업체명, 소재지 도로명주소, 전화번호 등의 항목을 제공합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15026368/fileData.do

Alerts

업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:11:25.145774
Analysis finished2023-12-16 15:11:26.719496
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-16T15:11:27.277891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.75
Min length2

Characters and Unicode

Total characters253
Distinct characters119
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

Unique44 ?
Unique (%)100.0%

Sample

1st row오니기리와이규동
2nd row파리바게뜨 중앙
3rd row한성각
4th row산동관
5th row오봉도시락
ValueCountFrequency (%)
파리바게뜨 5
 
9.4%
남포점 2
 
3.8%
개미집 2
 
3.8%
la돈까스 1
 
1.9%
본죽(부산남포점 1
 
1.9%
개미식당 1
 
1.9%
본가(남포점 1
 
1.9%
피자1번가 1
 
1.9%
나이스치킨 1
 
1.9%
동주각 1
 
1.9%
Other values (37) 37
69.8%
2023-12-16T15:11:28.458551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 13
 
5.1%
10
 
4.0%
남 6
 
2.4%
리 6
 
2.4%
부 6
 
2.4%
가 6
 
2.4%
포 6
 
2.4%
뜨 5
 
2.0%
게 5
 
2.0%
스 5
 
2.0%
Other values (109) 185
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
92.5%
Space Separator 10
 
4.0%
Open Punctuation 3
 
1.2%
Close Punctuation 3
 
1.2%
Uppercase Letter 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 13
 
5.6%
남 6
 
2.6%
리 6
 
2.6%
부 6
 
2.6%
가 6
 
2.6%
포 6
 
2.6%
뜨 5
 
2.1%
게 5
 
2.1%
스 5
 
2.1%
바 5
 
2.1%
Other values (103) 171
73.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
92.5%
Common 17
 
6.7%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 13
 
5.6%
남 6
 
2.6%
리 6
 
2.6%
부 6
 
2.6%
가 6
 
2.6%
포 6
 
2.6%
뜨 5
 
2.1%
게 5
 
2.1%
스 5
 
2.1%
바 5
 
2.1%
Other values (103) 171
73.1%
Common
ValueCountFrequency (%)
10
58.8%
( 3
 
17.6%
) 3
 
17.6%
1 1
 
5.9%
Latin
ValueCountFrequency (%)
L 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
92.5%
ASCII 19
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 13
 
5.6%
남 6
 
2.6%
리 6
 
2.6%
부 6
 
2.6%
가 6
 
2.6%
포 6
 
2.6%
뜨 5
 
2.1%
게 5
 
2.1%
스 5
 
2.1%
바 5
 
2.1%
Other values (103) 171
73.1%
ASCII
ValueCountFrequency (%)
10
52.6%
( 3
 
15.8%
) 3
 
15.8%
L 1
 
5.3%
1 1
 
5.3%
A 1
 
5.3%

소재지도로명주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-16T15:11:29.013420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28.5
Mean length25.363636
Min length15

Characters and Unicode

Total characters1116
Distinct characters69
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

Unique44 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 충장대로9번길 23-2 (중앙동4가)
2nd row부산광역시 중구 해관로 65 (중앙동 4가)
3rd row부산광역시 중구 샘길 20 (동광동5가)
4th row부산광역시 중구 중구로 130 (동광동5가)
5th row부산광역시 중구 중구로 124 (동광동5가)
ValueCountFrequency (%)
부산광역시 44
 
18.9%
중구 44
 
18.9%
1층 8
 
3.4%
중구로 6
 
2.6%
동광동5가 4
 
1.7%
남포동 4
 
1.7%
15 3
 
1.3%
대청로 3
 
1.3%
비프광장로 3
 
1.3%
중앙동4가 3
 
1.3%
Other values (98) 111
47.6%
2023-12-16T15:11:30.678561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
16.9%
중 62
 
5.6%
광 60
 
5.4%
구 55
 
4.9%
부 50
 
4.5%
동 50
 
4.5%
산 45
 
4.0%
시 44
 
3.9%
역 44
 
3.9%
1 44
 
3.9%
Other values (59) 473
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
58.0%
Space Separator 189
 
16.9%
Decimal Number 173
 
15.5%
Open Punctuation 40
 
3.6%
Close Punctuation 40
 
3.6%
Other Punctuation 14
 
1.3%
Dash Punctuation 13
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 62
 
9.6%
광 60
 
9.3%
구 55
 
8.5%
부 50
 
7.7%
동 50
 
7.7%
산 45
 
7.0%
시 44
 
6.8%
역 44
 
6.8%
로 38
 
5.9%
가 26
 
4.0%
Other values (44) 173
26.7%
Decimal Number
ValueCountFrequency (%)
1 44
25.4%
4 25
14.5%
2 23
13.3%
3 21
12.1%
5 16
 
9.2%
6 14
 
8.1%
9 13
 
7.5%
0 9
 
5.2%
8 5
 
2.9%
7 3
 
1.7%
Space Separator
ValueCountFrequency (%)
189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 647
58.0%
Common 469
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 62
 
9.6%
광 60
 
9.3%
구 55
 
8.5%
부 50
 
7.7%
동 50
 
7.7%
산 45
 
7.0%
시 44
 
6.8%
역 44
 
6.8%
로 38
 
5.9%
가 26
 
4.0%
Other values (44) 173
26.7%
Common
ValueCountFrequency (%)
189
40.3%
1 44
 
9.4%
( 40
 
8.5%
) 40
 
8.5%
4 25
 
5.3%
2 23
 
4.9%
3 21
 
4.5%
5 16
 
3.4%
, 14
 
3.0%
6 14
 
3.0%
Other values (5) 43
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 647
58.0%
ASCII 469
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
40.3%
1 44
 
9.4%
( 40
 
8.5%
) 40
 
8.5%
4 25
 
5.3%
2 23
 
4.9%
3 21
 
4.5%
5 16
 
3.4%
, 14
 
3.0%
6 14
 
3.0%
Other values (5) 43
 
9.2%
Hangul
ValueCountFrequency (%)
중 62
 
9.6%
광 60
 
9.3%
구 55
 
8.5%
부 50
 
7.7%
동 50
 
7.7%
산 45
 
7.0%
시 44
 
6.8%
역 44
 
6.8%
로 38
 
5.9%
가 26
 
4.0%
Other values (44) 173
26.7%

전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-16T15:11:31.872771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row051-468-0290
2nd row051-466-3202
3rd row051-462-7445
4th row051-463-9819
5th row051-467-5050
ValueCountFrequency (%)
051-468-0290 1
 
2.3%
051-466-3202 1
 
2.3%
051-231-9639 1
 
2.3%
051-464-9133 1
 
2.3%
051-465-4115 1
 
2.3%
051-464-8600 1
 
2.3%
051-469-6477 1
 
2.3%
051-441-3200 1
 
2.3%
051-243-8289 1
 
2.3%
051-231-1958 1
 
2.3%
Other values (34) 34
77.3%
2023-12-16T15:11:34.178851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.7%
5 74
14.0%
4 70
13.3%
1 66
12.5%
0 60
11.4%
2 46
8.7%
6 42
8.0%
3 32
 
6.1%
8 24
 
4.5%
9 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 74
16.8%
4 70
15.9%
1 66
15.0%
0 60
13.6%
2 46
10.5%
6 42
9.5%
3 32
7.3%
8 24
 
5.5%
9 14
 
3.2%
7 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.7%
5 74
14.0%
4 70
13.3%
1 66
12.5%
0 60
11.4%
2 46
8.7%
6 42
8.0%
3 32
 
6.1%
8 24
 
4.5%
9 14
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.7%
5 74
14.0%
4 70
13.3%
1 66
12.5%
0 60
11.4%
2 46
8.7%
6 42
8.0%
3 32
 
6.1%
8 24
 
4.5%
9 14
 
2.7%

Correlations

2023-12-16T15:11:34.810040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명소재지도로명주소전화번호
업체명1.0001.0001.000
소재지도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-16T15:11:26.145825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:11:26.508490image/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

업체명소재지도로명주소전화번호
0오니기리와이규동부산광역시 중구 충장대로9번길 23-2 (중앙동4가)051-468-0290
1파리바게뜨 중앙부산광역시 중구 해관로 65 (중앙동 4가)051-466-3202
2한성각부산광역시 중구 샘길 20 (동광동5가)051-462-7445
3산동관부산광역시 중구 중구로 130 (동광동5가)051-463-9819
4오봉도시락부산광역시 중구 중구로 124 (동광동5가)051-467-5050
5논치빵집부산광역시 중구 동광길93번길 3 (동광동)051-464-3314
6미각부산광역시 중구 복병산길 6 (대청동1가)051-442-5554
7쭈니네부엌부산광역시 중구 중구로 86 (대청동4가)051-467-9359
8맘스터치대청점부산광역시 중구 대청로 94051-245-1836
9파리바게뜨 부산대청점부산광역시 중구 대청로 89-2, 1층051-468-8204
업체명소재지도로명주소전화번호
34할매가야밀면부산광역시 중구 광복로 56-14, 1층(남포동)051-246-3314
35가온밀면 부산중앙점부산광역시 중구 해관로 76 (중앙동4가)051-442-3435
36가마치옛날통닭 보수점부산광역시 중구 보수대로 90, 1층 (보수동3가)051-231-7292
37강가네손만두부산광역시 중구 대청로 89-2, 1층 (대청동3가)051-466-4644
38고릴라스시부산광역시 중구 중구로 146, 2층(동광동)051-442-4446
39강남식당부산광역시 중구 흑교로 34, 나동 44-46호 (부평동2가, 부평맨션)051-246-2658
40LA돈까스부산광역시 중구 40계단길 7 (중앙동4가)054-464-5703
41개미식당부산광역시 중구 중구로30번길 15, 9동 14호(광복동)051-245-3147
42개미집부산광역시 중구 광복로55번길 14 (창선동1가)051-246-1828
43개미집 본점부산광역시 중구 중구로30번길 20-2 (신창동1가)051-246-3186