Overview

Dataset statistics

Number of variables4
Number of observations81
Missing cells9
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory33.6 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시_동구_집단급식소현황_20200121
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15028639

Alerts

업종명 has constant value ""Constant
소재지전화 has 9 (11.1%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:19:19.825659
Analysis finished2023-12-10 16:19:20.406178
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
집단급식소
81 

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 81
100.0%

Length

2023-12-11T01:19:20.475558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:20.593155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 81
100.0%

업소명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-11T01:19:20.867691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.308642
Min length4

Characters and Unicode

Total characters673
Distinct characters164
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row봉생병원
2nd row(재)한호기독교선교회 일신기독병원
3rd row좋은문화병원
4th row사조동아원주식회사
5th row대한제분(주)
ValueCountFrequency (%)
주식회사 2
 
2.0%
동구노인복지관 2
 
2.0%
봉생병원 1
 
1.0%
동일유치원 1
 
1.0%
부산진세무서 1
 
1.0%
복지관 1
 
1.0%
장애인 1
 
1.0%
동구 1
 
1.0%
효원어린이집 1
 
1.0%
수정초등어린이집 1
 
1.0%
Other values (86) 86
87.8%
2023-12-11T01:19:21.338315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 27
 
4.0%
이 21
 
3.1%
교 21
 
3.1%
학 20
 
3.0%
부 19
 
2.8%
어 19
 
2.8%
산 19
 
2.8%
린 18
 
2.7%
집 18
 
2.7%
17
 
2.5%
Other values (154) 474
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
94.8%
Space Separator 17
 
2.5%
Close Punctuation 7
 
1.0%
Open Punctuation 7
 
1.0%
Decimal Number 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 27
 
4.2%
이 21
 
3.3%
교 21
 
3.3%
학 20
 
3.1%
부 19
 
3.0%
어 19
 
3.0%
산 19
 
3.0%
린 18
 
2.8%
집 18
 
2.8%
병 15
 
2.4%
Other values (149) 441
69.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
4 2
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
94.8%
Common 35
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 27
 
4.2%
이 21
 
3.3%
교 21
 
3.3%
학 20
 
3.1%
부 19
 
3.0%
어 19
 
3.0%
산 19
 
3.0%
린 18
 
2.8%
집 18
 
2.8%
병 15
 
2.4%
Other values (149) 441
69.1%
Common
ValueCountFrequency (%)
17
48.6%
) 7
20.0%
( 7
20.0%
1 2
 
5.7%
4 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
94.8%
ASCII 35
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 27
 
4.2%
이 21
 
3.3%
교 21
 
3.3%
학 20
 
3.1%
부 19
 
3.0%
어 19
 
3.0%
산 19
 
3.0%
린 18
 
2.8%
집 18
 
2.8%
병 15
 
2.4%
Other values (149) 441
69.1%
ASCII
ValueCountFrequency (%)
17
48.6%
) 7
20.0%
( 7
20.0%
1 2
 
5.7%
4 2
 
5.7%

소재지(도로명)
Text

Distinct79
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-11T01:19:21.601437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length25.432099
Min length21

Characters and Unicode

Total characters2060
Distinct characters104
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

Unique77 ?
Unique (%)95.1%

Sample

1st row부산광역시 동구 중앙대로 401 (좌천동)
2nd row부산광역시 동구 정공단로 27 (좌천동)
3rd row부산광역시 동구 범일로 119 (범일동)
4th row부산광역시 동구 충장대로 293 (좌천동)
5th row부산광역시 동구 충장대로 301 (좌천동)
ValueCountFrequency (%)
동구 82
18.8%
부산광역시 81
18.5%
초량동 23
 
5.3%
수정동 21
 
4.8%
범일동 20
 
4.6%
중앙대로 13
 
3.0%
좌천동 13
 
3.0%
범일로 6
 
1.4%
충장대로 6
 
1.4%
29 5
 
1.1%
Other values (133) 167
38.2%
2023-12-11T01:19:21.968701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
17.3%
동 165
 
8.0%
산 87
 
4.2%
구 85
 
4.1%
( 83
 
4.0%
) 83
 
4.0%
부 82
 
4.0%
시 81
 
3.9%
로 81
 
3.9%
역 81
 
3.9%
Other values (94) 876
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
60.2%
Space Separator 356
 
17.3%
Decimal Number 263
 
12.8%
Open Punctuation 83
 
4.0%
Close Punctuation 83
 
4.0%
Other Punctuation 27
 
1.3%
Dash Punctuation 6
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 165
 
13.3%
산 87
 
7.0%
구 85
 
6.9%
부 82
 
6.6%
시 81
 
6.5%
로 81
 
6.5%
역 81
 
6.5%
광 81
 
6.5%
초 37
 
3.0%
량 36
 
2.9%
Other values (76) 424
34.2%
Decimal Number
ValueCountFrequency (%)
1 55
20.9%
4 38
14.4%
2 36
13.7%
3 25
9.5%
7 21
 
8.0%
5 20
 
7.6%
8 19
 
7.2%
9 19
 
7.2%
0 16
 
6.1%
6 14
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
/ 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
60.2%
Common 818
39.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 165
 
13.3%
산 87
 
7.0%
구 85
 
6.9%
부 82
 
6.6%
시 81
 
6.5%
로 81
 
6.5%
역 81
 
6.5%
광 81
 
6.5%
초 37
 
3.0%
량 36
 
2.9%
Other values (76) 424
34.2%
Common
ValueCountFrequency (%)
356
43.5%
( 83
 
10.1%
) 83
 
10.1%
1 55
 
6.7%
4 38
 
4.6%
2 36
 
4.4%
, 26
 
3.2%
3 25
 
3.1%
7 21
 
2.6%
5 20
 
2.4%
Other values (6) 75
 
9.2%
Latin
ValueCountFrequency (%)
T 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
60.2%
ASCII 820
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
43.4%
( 83
 
10.1%
) 83
 
10.1%
1 55
 
6.7%
4 38
 
4.6%
2 36
 
4.4%
, 26
 
3.2%
3 25
 
3.0%
7 21
 
2.6%
5 20
 
2.4%
Other values (8) 77
 
9.4%
Hangul
ValueCountFrequency (%)
동 165
 
13.3%
산 87
 
7.0%
구 85
 
6.9%
부 82
 
6.6%
시 81
 
6.5%
로 81
 
6.5%
역 81
 
6.5%
광 81
 
6.5%
초 37
 
3.0%
량 36
 
2.9%
Other values (76) 424
34.2%

소재지전화
Text

MISSING 

Distinct69
Distinct (%)95.8%
Missing9
Missing (%)11.1%
Memory size780.0 B
2023-12-11T01:19:22.224937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters864
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

Unique66 ?
Unique (%)91.7%

Sample

1st row051-664-4780
2nd row051-630-0482
3rd row051-630-0945
4th row051-632-0601
5th row051-630-8112
ValueCountFrequency (%)
051-467-7701 2
 
2.8%
051-632-1131 2
 
2.8%
051-469-8007 2
 
2.8%
051-632-7597 1
 
1.4%
051-637-8260 1
 
1.4%
051-468-5250 1
 
1.4%
051-463-9119 1
 
1.4%
051-467-7887 1
 
1.4%
051-469-1979 1
 
1.4%
051-960-1113 1
 
1.4%
Other values (59) 59
81.9%
2023-12-11T01:19:22.734629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 144
16.7%
1 131
15.2%
0 125
14.5%
6 104
12.0%
5 102
11.8%
4 70
8.1%
7 55
 
6.4%
3 41
 
4.7%
2 33
 
3.8%
9 31
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
83.3%
Dash Punctuation 144
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 131
18.2%
0 125
17.4%
6 104
14.4%
5 102
14.2%
4 70
9.7%
7 55
7.6%
3 41
 
5.7%
2 33
 
4.6%
9 31
 
4.3%
8 28
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 144
16.7%
1 131
15.2%
0 125
14.5%
6 104
12.0%
5 102
11.8%
4 70
8.1%
7 55
 
6.4%
3 41
 
4.7%
2 33
 
3.8%
9 31
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 144
16.7%
1 131
15.2%
0 125
14.5%
6 104
12.0%
5 102
11.8%
4 70
8.1%
7 55
 
6.4%
3 41
 
4.7%
2 33
 
3.8%
9 31
 
3.6%

Correlations

2023-12-11T01:19:22.845286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화
업소명1.0001.0001.000
소재지(도로명)1.0001.0000.998
소재지전화1.0000.9981.000

Missing values

2023-12-11T01:19:20.281693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:19:20.364799image/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
0집단급식소봉생병원부산광역시 동구 중앙대로 401 (좌천동)051-664-4780
1집단급식소(재)한호기독교선교회 일신기독병원부산광역시 동구 정공단로 27 (좌천동)051-630-0482
2집단급식소좋은문화병원부산광역시 동구 범일로 119 (범일동)051-630-0945
3집단급식소사조동아원주식회사부산광역시 동구 충장대로 293 (좌천동)051-632-0601
4집단급식소대한제분(주)부산광역시 동구 충장대로 301 (좌천동)051-630-8112
5집단급식소부산은행 범일동지점부산광역시 동구 범일로 92 (범일동)051-663-1746
6집단급식소주식회사 현대백화점부산광역시 동구 범일로 125 (범일동)051-667-1018
7집단급식소초량초등학교부산광역시 동구 초량상로 49 (초량동)051-466-1650
8집단급식소좌성초등학교부산광역시 동구 증산동로 59 (범일동)051-635-7260
9집단급식소성남초등학교부산광역시 동구 범일로53번길 14 (범일동)051-636-8577
업종명업소명소재지(도로명)소재지전화
71집단급식소남해지방해양경찰청부산광역시 동구 충장대로 325, 8층 (좌천동, 남해지방해양경찰청)051-663-2319
72집단급식소엘지유플러스 초량사옥 식당부산광역시 동구 중앙대로 299, 엘지유플러스 부산초량사옥 14층 (초량동)<NA>
73집단급식소행복누리어린이집부산광역시 동구 자성로 134, 눌원빌딩 1층 3호 (범일동)051-637-2527
74집단급식소세일병원부산광역시 동구 중앙대로 317, 세일병원 (초량동)051-464-8110
75집단급식소아스티호텔 직원식당부산광역시 동구 중앙대로214번길 7-8, 지하4층 (초량동)051-409-8831
76집단급식소동구노인복지관 분관 어르신 행복식당부산광역시 동구 초량남로 11-1, 동구 노인복지관 분관 경로식당 1층 (초량동)051-714-6092
77집단급식소의료법인 은경의료재단 인창요양병원부산광역시 동구 중앙대로 281 (초량동)051-466-1004
78집단급식소인창동구노인요양원부산광역시 동구 고관로 34, 인창병원 10층 (초량동)051-464-1004
79집단급식소롯데건설(주)부산광역시 동구 충장대로 168 (초량동)<NA>
80집단급식소더힐러스병원부산광역시 동구 범일로 112, 더힐러스병원 4층 (범일동)051-715-1144