Overview

Dataset statistics

Number of variables3
Number of observations27
Missing cells5
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory780.0 B
Average record size in memory28.9 B

Variable types

Text3

Dataset

Description부산광역시_동구_소독업소현황_20201230
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079122

Alerts

영업소전화번호 has 5 (18.5%) missing valuesMissing
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:33:21.496784
Analysis finished2023-12-10 17:33:22.378443
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소독업소명칭
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:33:22.709975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.2962963
Min length3

Characters and Unicode

Total characters197
Distinct characters89
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row인포이즈
2nd row드림뷰티TS
3rd row(주)대홍관리
4th row한국피티피(주)
5th row(주)이수씨엠에스
ValueCountFrequency (%)
인포이즈 1
 
3.4%
전문환경공사 1
 
3.4%
미진방역사 1
 
3.4%
주)하이포스 1
 
3.4%
주)국제시큐리티 1
 
3.4%
주)국제보안공사 1
 
3.4%
주)케이투종합관리 1
 
3.4%
주)창성개발 1
 
3.4%
주)부성기업 1
 
3.4%
방역 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T02:33:23.546490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
7.6%
) 15
 
7.6%
( 14
 
7.1%
스 6
 
3.0%
이 5
 
2.5%
에 5
 
2.5%
사 5
 
2.5%
리 4
 
2.0%
경 4
 
2.0%
티 4
 
2.0%
Other values (79) 120
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
83.2%
Close Punctuation 15
 
7.6%
Open Punctuation 14
 
7.1%
Space Separator 2
 
1.0%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
9.1%
스 6
 
3.7%
이 5
 
3.0%
에 5
 
3.0%
사 5
 
3.0%
리 4
 
2.4%
경 4
 
2.4%
티 4
 
2.4%
환 4
 
2.4%
인 3
 
1.8%
Other values (74) 109
66.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
83.2%
Common 31
 
15.7%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
9.1%
스 6
 
3.7%
이 5
 
3.0%
에 5
 
3.0%
사 5
 
3.0%
리 4
 
2.4%
경 4
 
2.4%
티 4
 
2.4%
환 4
 
2.4%
인 3
 
1.8%
Other values (74) 109
66.5%
Common
ValueCountFrequency (%)
) 15
48.4%
( 14
45.2%
2
 
6.5%
Latin
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
83.2%
ASCII 33
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
9.1%
스 6
 
3.7%
이 5
 
3.0%
에 5
 
3.0%
사 5
 
3.0%
리 4
 
2.4%
경 4
 
2.4%
티 4
 
2.4%
환 4
 
2.4%
인 3
 
1.8%
Other values (74) 109
66.5%
ASCII
ValueCountFrequency (%)
) 15
45.5%
( 14
42.4%
2
 
6.1%
T 1
 
3.0%
S 1
 
3.0%

사무실소재지(도로명)
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:33:24.104860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length38
Mean length33.925926
Min length21

Characters and Unicode

Total characters916
Distinct characters88
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

Unique25 ?
Unique (%)92.6%

Sample

1st row부산광역시 동구 조방로 14, 동일타워 8층 812호 (범일동)
2nd row부산광역시 동구 중앙대로180번길 12-13, 2층 (초량동)
3rd row부산광역시 동구 중앙대로286번길 9, 3층 (초량동)
4th row부산광역시 동구 자성로133번길 6, 104동 3층 3301,3302호 (범일동, 진흥 마제스타워 범일)
5th row부산광역시 동구 중앙대로 263, 국제오피스텔 15층 1505,1506호 (초량동)
ValueCountFrequency (%)
부산광역시 27
 
15.3%
동구 27
 
15.3%
초량동 14
 
7.9%
수정동 6
 
3.4%
범일동 5
 
2.8%
2층 4
 
2.3%
5층 4
 
2.3%
고관로 3
 
1.7%
지하1층 3
 
1.7%
중앙대로 3
 
1.7%
Other values (71) 81
45.8%
2023-12-11T02:33:25.099612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
16.4%
동 60
 
6.6%
1 37
 
4.0%
, 32
 
3.5%
부 30
 
3.3%
산 30
 
3.3%
시 27
 
2.9%
역 27
 
2.9%
구 27
 
2.9%
( 27
 
2.9%
Other values (78) 469
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
55.7%
Decimal Number 159
 
17.4%
Space Separator 150
 
16.4%
Other Punctuation 32
 
3.5%
Open Punctuation 27
 
2.9%
Close Punctuation 27
 
2.9%
Dash Punctuation 10
 
1.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
 
11.8%
부 30
 
5.9%
산 30
 
5.9%
시 27
 
5.3%
역 27
 
5.3%
구 27
 
5.3%
광 27
 
5.3%
로 27
 
5.3%
층 20
 
3.9%
량 18
 
3.5%
Other values (62) 217
42.5%
Decimal Number
ValueCountFrequency (%)
1 37
23.3%
3 25
15.7%
2 19
11.9%
0 14
 
8.8%
5 13
 
8.2%
8 12
 
7.5%
6 11
 
6.9%
9 10
 
6.3%
4 10
 
6.3%
7 8
 
5.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
55.7%
Common 405
44.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
 
11.8%
부 30
 
5.9%
산 30
 
5.9%
시 27
 
5.3%
역 27
 
5.3%
구 27
 
5.3%
광 27
 
5.3%
로 27
 
5.3%
층 20
 
3.9%
량 18
 
3.5%
Other values (62) 217
42.5%
Common
ValueCountFrequency (%)
150
37.0%
1 37
 
9.1%
, 32
 
7.9%
( 27
 
6.7%
) 27
 
6.7%
3 25
 
6.2%
2 19
 
4.7%
0 14
 
3.5%
5 13
 
3.2%
8 12
 
3.0%
Other values (5) 49
 
12.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
55.7%
ASCII 406
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
36.9%
1 37
 
9.1%
, 32
 
7.9%
( 27
 
6.7%
) 27
 
6.7%
3 25
 
6.2%
2 19
 
4.7%
0 14
 
3.4%
5 13
 
3.2%
8 12
 
3.0%
Other values (6) 50
 
12.3%
Hangul
ValueCountFrequency (%)
동 60
 
11.8%
부 30
 
5.9%
산 30
 
5.9%
시 27
 
5.3%
역 27
 
5.3%
구 27
 
5.3%
광 27
 
5.3%
로 27
 
5.3%
층 20
 
3.9%
량 18
 
3.5%
Other values (62) 217
42.5%

영업소전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing5
Missing (%)18.5%
Memory size348.0 B
2023-12-11T02:33:25.574297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters265
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

Unique22 ?
Unique (%)100.0%

Sample

1st row051-819-9812
2nd row070-4202-1639
3rd row051-757-3330
4th row051-465-0227
5th row051-441-8660
ValueCountFrequency (%)
051-819-9812 1
 
4.5%
070-4202-1639 1
 
4.5%
051-647-5599 1
 
4.5%
051-462-0881 1
 
4.5%
051-441-7171 1
 
4.5%
051-851-9782 1
 
4.5%
051-468-8434 1
 
4.5%
051-441-2244 1
 
4.5%
051-462-1644 1
 
4.5%
051-469-0009 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T02:33:26.463762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.6%
1 40
15.1%
0 38
14.3%
5 26
9.8%
4 26
9.8%
6 23
8.7%
8 21
7.9%
2 13
 
4.9%
7 13
 
4.9%
3 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.4%
Dash Punctuation 44
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 40
18.1%
0 38
17.2%
5 26
11.8%
4 26
11.8%
6 23
10.4%
8 21
9.5%
2 13
 
5.9%
7 13
 
5.9%
3 11
 
5.0%
9 10
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.6%
1 40
15.1%
0 38
14.3%
5 26
9.8%
4 26
9.8%
6 23
8.7%
8 21
7.9%
2 13
 
4.9%
7 13
 
4.9%
3 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.6%
1 40
15.1%
0 38
14.3%
5 26
9.8%
4 26
9.8%
6 23
8.7%
8 21
7.9%
2 13
 
4.9%
7 13
 
4.9%
3 11
 
4.2%

Correlations

2023-12-11T02:33:26.742906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독업소명칭사무실소재지(도로명)영업소전화번호
소독업소명칭1.0001.0001.000
사무실소재지(도로명)1.0001.0001.000
영업소전화번호1.0001.0001.000

Missing values

2023-12-11T02:33:22.058431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:33:22.301197image/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

소독업소명칭사무실소재지(도로명)영업소전화번호
0인포이즈부산광역시 동구 조방로 14, 동일타워 8층 812호 (범일동)<NA>
1드림뷰티TS부산광역시 동구 중앙대로180번길 12-13, 2층 (초량동)051-819-9812
2(주)대홍관리부산광역시 동구 중앙대로286번길 9, 3층 (초량동)070-4202-1639
3한국피티피(주)부산광역시 동구 자성로133번길 6, 104동 3층 3301,3302호 (범일동, 진흥 마제스타워 범일)051-757-3330
4(주)이수씨엠에스부산광역시 동구 중앙대로 263, 국제오피스텔 15층 1505,1506호 (초량동)051-465-0227
5(주)보훈기업부산광역시 동구 중앙대로214번길 7-11, 8층 (초량동)051-441-8660
6그린환경개발부산광역시 동구 범일로90번길 9, 5층 (범일동)<NA>
7금오메디칼부산광역시 동구 중앙대로371번길 72, 1층 (수정동)051-462-8707
8버그아웃부산광역시 동구 초량중로 11-1, 지하1층 (초량동)051-466-0786
9사단법인 부산광역시산업재해장애인협회부산광역시 동구 중앙대로196번길 12-3, 7층 (초량동, 부산장애인종합회관)051-807-0091
소독업소명칭사무실소재지(도로명)영업소전화번호
17씨앤에스코리아부산광역시 동구 중앙대로236번길 7-6, 2층 (초량동)051-469-0009
18세이프존 방역부산광역시 동구 초량중로 11-1, 지하1층 (초량동)051-462-1644
19(주)부성기업부산광역시 동구 중앙대로 288, 성지빌딩 5층 (초량동)051-441-2244
20주)창성개발부산광역시 동구 중앙대로349번길 38 (수정동)051-468-8434
21(주)케이투종합관리부산광역시 동구 고관로 100, 2층 (수정동)051-851-9782
22(주)국제보안공사부산광역시 동구 조방로49번길 18-1, 5층 (범일동)051-441-7171
23(주)국제시큐리티부산광역시 동구 중앙대로308번길 3-5 (초량동)051-462-0881
24(주)하이포스부산광역시 동구 성남로 39 (좌천동)051-647-5599
25미진방역사부산광역시 동구 수정공원상로14번길 19 (수정동)<NA>
26한미환경공사부산광역시 동구 고관로 37 (수정동)051-463-8636