Overview

Dataset statistics

Number of variables4
Number of observations248
Missing cells19
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory32.5 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 해운대구 집단 급식소 현황에 대한 데이터로 업종명, 업소명, 소재지 주소(도로명주소), 연락처 정보를 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075726/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 19 (7.7%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:25:27.848026
Analysis finished2023-12-12 16:25:28.274070
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
집단급식소
248 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소
2nd row집단급식소
3rd row집단급식소
4th row집단급식소
5th row집단급식소

Common Values

ValueCountFrequency (%)
집단급식소 248
100.0%

Length

2023-12-13T01:25:28.332088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:25:28.424403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 248
100.0%

업소명
Text

UNIQUE 

Distinct248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T01:25:28.700423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length8.3306452
Min length3

Characters and Unicode

Total characters2066
Distinct characters273
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

Unique248 ?
Unique (%)100.0%

Sample

1st row(주)풍산 동래공장
2nd row성철사
3rd row부산기계공업고등학교
4th row(주)조선호텔앤리조트 부산
5th row삼성해운대연수소
ValueCountFrequency (%)
구내식당 7
 
2.3%
의료법인 6
 
2.0%
어린이집 5
 
1.7%
주식회사 4
 
1.3%
해운대점 2
 
0.7%
주)신세계백화점 2
 
0.7%
홈플러스(주 2
 
0.7%
부산 2
 
0.7%
주)조선호텔앤리조트 2
 
0.7%
부산점 2
 
0.7%
Other values (268) 268
88.7%
2023-12-13T01:25:29.121403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 87
 
4.2%
원 80
 
3.9%
이 78
 
3.8%
교 76
 
3.7%
어 65
 
3.1%
54
 
2.6%
린 54
 
2.6%
집 52
 
2.5%
해 49
 
2.4%
등 48
 
2.3%
Other values (263) 1423
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1942
94.0%
Space Separator 54
 
2.6%
Open Punctuation 25
 
1.2%
Close Punctuation 25
 
1.2%
Uppercase Letter 10
 
0.5%
Decimal Number 9
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 87
 
4.5%
원 80
 
4.1%
이 78
 
4.0%
교 76
 
3.9%
어 65
 
3.3%
린 54
 
2.8%
집 52
 
2.7%
해 49
 
2.5%
등 48
 
2.5%
대 46
 
2.4%
Other values (248) 1307
67.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
K 2
20.0%
C 1
10.0%
M 1
10.0%
Y 1
10.0%
N 1
10.0%
B 1
10.0%
F 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
3 2
 
22.2%
1 2
 
22.2%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1942
94.0%
Common 114
 
5.5%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 87
 
4.5%
원 80
 
4.1%
이 78
 
4.0%
교 76
 
3.9%
어 65
 
3.3%
린 54
 
2.8%
집 52
 
2.7%
해 49
 
2.5%
등 48
 
2.5%
대 46
 
2.4%
Other values (248) 1307
67.3%
Latin
ValueCountFrequency (%)
A 2
20.0%
K 2
20.0%
C 1
10.0%
M 1
10.0%
Y 1
10.0%
N 1
10.0%
B 1
10.0%
F 1
10.0%
Common
ValueCountFrequency (%)
54
47.4%
( 25
21.9%
) 25
21.9%
2 5
 
4.4%
3 2
 
1.8%
1 2
 
1.8%
. 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1942
94.0%
ASCII 124
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 87
 
4.5%
원 80
 
4.1%
이 78
 
4.0%
교 76
 
3.9%
어 65
 
3.3%
린 54
 
2.8%
집 52
 
2.7%
해 49
 
2.5%
등 48
 
2.5%
대 46
 
2.4%
Other values (248) 1307
67.3%
ASCII
ValueCountFrequency (%)
54
43.5%
( 25
20.2%
) 25
20.2%
2 5
 
4.0%
A 2
 
1.6%
3 2
 
1.6%
K 2
 
1.6%
1 2
 
1.6%
C 1
 
0.8%
M 1
 
0.8%
Other values (5) 5
 
4.0%

소재지(도로명)
Text

Distinct244
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T01:25:29.375651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length31.943548
Min length21

Characters and Unicode

Total characters7922
Distinct characters219
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

Unique240 ?
Unique (%)96.8%

Sample

1st row부산광역시 해운대구 선수촌로 230 (반여동)
2nd row부산광역시 해운대구 반여로41번길 36 (반여동)
3rd row부산광역시 해운대구 우동1로20번길 97 (우동)
4th row부산광역시 해운대구 동백로 67 (우동)
5th row부산광역시 해운대구 좌동순환로468번가길 5-11 (중동)
ValueCountFrequency (%)
부산광역시 248
 
16.7%
해운대구 248
 
16.7%
우동 63
 
4.2%
좌동 46
 
3.1%
반여동 37
 
2.5%
재송동 33
 
2.2%
중동 30
 
2.0%
반송동 24
 
1.6%
1층 23
 
1.5%
해운대로 20
 
1.3%
Other values (408) 713
48.0%
2023-12-13T01:25:29.754160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1237
 
15.6%
대 343
 
4.3%
해 328
 
4.1%
운 327
 
4.1%
동 318
 
4.0%
부 270
 
3.4%
1 266
 
3.4%
산 263
 
3.3%
시 258
 
3.3%
구 250
 
3.2%
Other values (209) 4062
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4859
61.3%
Space Separator 1237
 
15.6%
Decimal Number 1114
 
14.1%
Close Punctuation 248
 
3.1%
Open Punctuation 248
 
3.1%
Other Punctuation 158
 
2.0%
Dash Punctuation 38
 
0.5%
Uppercase Letter 19
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 343
 
7.1%
해 328
 
6.8%
운 327
 
6.7%
동 318
 
6.5%
부 270
 
5.6%
산 263
 
5.4%
시 258
 
5.3%
구 250
 
5.1%
역 248
 
5.1%
광 248
 
5.1%
Other values (180) 2006
41.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
15.8%
E 3
15.8%
P 2
10.5%
C 2
10.5%
N 2
10.5%
B 1
 
5.3%
K 1
 
5.3%
R 1
 
5.3%
W 1
 
5.3%
O 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
1 266
23.9%
2 166
14.9%
3 120
10.8%
6 101
 
9.1%
4 100
 
9.0%
5 80
 
7.2%
7 80
 
7.2%
0 80
 
7.2%
9 67
 
6.0%
8 54
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 157
99.4%
@ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4859
61.3%
Common 3044
38.4%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 343
 
7.1%
해 328
 
6.8%
운 327
 
6.7%
동 318
 
6.5%
부 270
 
5.6%
산 263
 
5.4%
시 258
 
5.3%
구 250
 
5.1%
역 248
 
5.1%
광 248
 
5.1%
Other values (180) 2006
41.3%
Common
ValueCountFrequency (%)
1237
40.6%
1 266
 
8.7%
) 248
 
8.1%
( 248
 
8.1%
2 166
 
5.5%
, 157
 
5.2%
3 120
 
3.9%
6 101
 
3.3%
4 100
 
3.3%
5 80
 
2.6%
Other values (7) 321
 
10.5%
Latin
ValueCountFrequency (%)
A 3
15.8%
E 3
15.8%
P 2
10.5%
C 2
10.5%
N 2
10.5%
B 1
 
5.3%
K 1
 
5.3%
R 1
 
5.3%
W 1
 
5.3%
O 1
 
5.3%
Other values (2) 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4859
61.3%
ASCII 3063
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1237
40.4%
1 266
 
8.7%
) 248
 
8.1%
( 248
 
8.1%
2 166
 
5.4%
, 157
 
5.1%
3 120
 
3.9%
6 101
 
3.3%
4 100
 
3.3%
5 80
 
2.6%
Other values (19) 340
 
11.1%
Hangul
ValueCountFrequency (%)
대 343
 
7.1%
해 328
 
6.8%
운 327
 
6.7%
동 318
 
6.5%
부 270
 
5.6%
산 263
 
5.4%
시 258
 
5.3%
구 250
 
5.1%
역 248
 
5.1%
광 248
 
5.1%
Other values (180) 2006
41.3%

소재지전화
Text

MISSING 

Distinct228
Distinct (%)99.6%
Missing19
Missing (%)7.7%
Memory size2.1 KiB
2023-12-13T01:25:29.987910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.017467
Min length12

Characters and Unicode

Total characters2752
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

Unique227 ?
Unique (%)99.1%

Sample

1st row051-527-5799
2nd row051-522-8512
3rd row051-719-0570
4th row051-749-7248
5th row051-740-1423
ValueCountFrequency (%)
051-543-1981 2
 
0.9%
051-523-6861 1
 
0.4%
051-702-3344 1
 
0.4%
051-527-5799 1
 
0.4%
051-850-7830 1
 
0.4%
051-781-7896 1
 
0.4%
051-742-4303 1
 
0.4%
051-743-7688 1
 
0.4%
051-747-7971 1
 
0.4%
051-545-2995 1
 
0.4%
Other values (218) 218
95.2%
2023-12-13T01:25:30.388370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 477
17.3%
- 458
16.6%
5 389
14.1%
1 365
13.3%
7 284
10.3%
4 174
 
6.3%
2 154
 
5.6%
8 142
 
5.2%
3 113
 
4.1%
9 109
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2294
83.4%
Dash Punctuation 458
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 477
20.8%
5 389
17.0%
1 365
15.9%
7 284
12.4%
4 174
 
7.6%
2 154
 
6.7%
8 142
 
6.2%
3 113
 
4.9%
9 109
 
4.8%
6 87
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 458
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 477
17.3%
- 458
16.6%
5 389
14.1%
1 365
13.3%
7 284
10.3%
4 174
 
6.3%
2 154
 
5.6%
8 142
 
5.2%
3 113
 
4.1%
9 109
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 477
17.3%
- 458
16.6%
5 389
14.1%
1 365
13.3%
7 284
10.3%
4 174
 
6.3%
2 154
 
5.6%
8 142
 
5.2%
3 113
 
4.1%
9 109
 
4.0%

Missing values

2023-12-13T01:25:28.158197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:25:28.242588image/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
0집단급식소(주)풍산 동래공장부산광역시 해운대구 선수촌로 230 (반여동)051-527-5799
1집단급식소성철사부산광역시 해운대구 반여로41번길 36 (반여동)051-522-8512
2집단급식소부산기계공업고등학교부산광역시 해운대구 우동1로20번길 97 (우동)051-719-0570
3집단급식소(주)조선호텔앤리조트 부산부산광역시 해운대구 동백로 67 (우동)051-749-7248
4집단급식소삼성해운대연수소부산광역시 해운대구 좌동순환로468번가길 5-11 (중동)051-740-1423
5집단급식소신도초등학교부산광역시 해운대구 좌동순환로 34 (좌동)051-731-2977
6집단급식소해송초등학교부산광역시 해운대구 좌동순환로402번길 32 (좌동)051-731-0199
7집단급식소부흥초등학교부산광역시 해운대구 좌동순환로 216 (좌동)051-703-0095
8집단급식소해운대고등학교부산광역시 해운대구 우동3로11번길 43 (우동)051-742-0312
9집단급식소자명정신병원부산광역시 해운대구 해운대로469번가길 75 (우동)051-747-8350
업종명업소명소재지(도로명)소재지전화
238집단급식소어진샘노인종합복지관부산광역시 해운대구 재반로12번길 16, 5층 (재송동)051-784-8008
239집단급식소센텀그린어린이집부산광역시 해운대구 해운대로61번길 73, 관리동 1층 (반여동, 해운대 더샵센텀그린)051-781-0009
240집단급식소해운대세무서 구내식당부산광역시 해운대구 좌동순환로 17, 해운대세무서 1층 (좌동)051-660-9200
241집단급식소주식회사 이노아이티부산광역시 해운대구 센텀서로 24, KNN 아트센터 1층 (우동)<NA>
242집단급식소해운대소방서부산광역시 해운대구 해운대해변로 106, 해운대소방서 지하1층 (우동)<NA>
243집단급식소반송2동어린이집부산광역시 해운대구 반송로924번길 8, 반송2동어린이집및노인정 지하1층 (반송동)<NA>
244집단급식소인천꿈나무어린이집부산광역시 해운대구 재반로12번길 16, 5층 (재송동)051-782-3047
245집단급식소꽃망울어린이집부산광역시 해운대구 해운대로81번가길 18-5, 꽃망울 어린이집 (재송동)<NA>
246집단급식소(주)길데이케어센터부산광역시 해운대구 양운로 92, 나하나빌딩 2, 3층 (좌동)051-741-1109
247집단급식소오스템임플란트(주) 부산K2공장부산광역시 해운대구 반송로513번길 66-48, 주건축물3동 2층 (석대동)<NA>