Overview

Dataset statistics

Number of variables3
Number of observations32
Missing cells4
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory900.0 B
Average record size in memory28.1 B

Variable types

Text3

Dataset

Description부산광역시해운대구_소독업소현황_20200619
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075594

Alerts

전화번호 has 4 (12.5%) missing valuesMissing
소독업소명칭 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:27:50.436831
Analysis finished2023-12-10 17:27:51.183391
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소독업소명칭
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:27:51.509732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length7.1875
Min length2

Characters and Unicode

Total characters230
Distinct characters97
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

Unique32 ?
Unique (%)100.0%

Sample

1st row페스코 부산점
2nd rowS.O.K management
3rd row대호
4th row제이원시스템
5th row와이제이청소
ValueCountFrequency (%)
주식회사 2
 
5.0%
페스코 1
 
2.5%
대건환경공사 1
 
2.5%
제로브이 1
 
2.5%
주)세스코 1
 
2.5%
부산동부지사 1
 
2.5%
주)범경시스템 1
 
2.5%
메이썬에너지 1
 
2.5%
창보시스템 1
 
2.5%
주)에스앤지 1
 
2.5%
Other values (29) 29
72.5%
2023-12-11T02:27:52.312706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
5.2%
10
 
4.3%
) 10
 
4.3%
( 10
 
4.3%
8
 
3.5%
8
 
3.5%
7
 
3.0%
6
 
2.6%
6
 
2.6%
5
 
2.2%
Other values (87) 148
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
77.8%
Close Punctuation 10
 
4.3%
Open Punctuation 10
 
4.3%
Lowercase Letter 10
 
4.3%
Uppercase Letter 10
 
4.3%
Space Separator 8
 
3.5%
Other Punctuation 2
 
0.9%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
6.7%
10
 
5.6%
8
 
4.5%
7
 
3.9%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
5
 
2.8%
Other values (68) 110
61.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
O 2
20.0%
A 1
10.0%
N 1
10.0%
U 1
10.0%
C 1
10.0%
D 1
10.0%
K 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
n 2
20.0%
m 2
20.0%
e 2
20.0%
g 1
10.0%
t 1
10.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
77.8%
Common 31
 
13.5%
Latin 20
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
6.7%
10
 
5.6%
8
 
4.5%
7
 
3.9%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
5
 
2.8%
Other values (68) 110
61.5%
Latin
ValueCountFrequency (%)
a 2
10.0%
n 2
10.0%
S 2
10.0%
O 2
10.0%
m 2
10.0%
e 2
10.0%
A 1
 
5.0%
N 1
 
5.0%
U 1
 
5.0%
C 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
) 10
32.3%
( 10
32.3%
8
25.8%
. 2
 
6.5%
1 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
77.8%
ASCII 51
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
6.7%
10
 
5.6%
8
 
4.5%
7
 
3.9%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
5
 
2.8%
Other values (68) 110
61.5%
ASCII
ValueCountFrequency (%)
) 10
19.6%
( 10
19.6%
8
15.7%
a 2
 
3.9%
n 2
 
3.9%
S 2
 
3.9%
. 2
 
3.9%
O 2
 
3.9%
m 2
 
3.9%
e 2
 
3.9%
Other values (9) 9
17.6%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:27:52.937971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34.5
Mean length33.625
Min length25

Characters and Unicode

Total characters1076
Distinct characters95
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

Unique32 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 재반로241번길 16-69, 1층 (반여동)
2nd row부산광역시 해운대구 재반로 166, 교촌 2층 (재송동)
3rd row부산광역시 해운대구 윗반송로 47-19 (반송동)
4th row부산광역시 해운대구 재반로256번길 43-25 (반여동)
5th row부산광역시 해운대구 선수촌로 21번길 21, 그린종합상가 2층 55호(반여동)
ValueCountFrequency (%)
부산광역시 32
 
16.4%
해운대구 31
 
15.9%
재송동 7
 
3.6%
반여동 6
 
3.1%
2층 6
 
3.1%
반송동 4
 
2.1%
1층 3
 
1.5%
재반로 3
 
1.5%
202호 2
 
1.0%
해운대로 2
 
1.0%
Other values (95) 99
50.8%
2023-12-11T02:27:53.871471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
15.1%
2 51
 
4.7%
1 42
 
3.9%
37
 
3.4%
37
 
3.4%
35
 
3.3%
34
 
3.2%
33
 
3.1%
33
 
3.1%
32
 
3.0%
Other values (85) 579
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 628
58.4%
Decimal Number 188
 
17.5%
Space Separator 163
 
15.1%
Open Punctuation 30
 
2.8%
Close Punctuation 30
 
2.8%
Other Punctuation 26
 
2.4%
Dash Punctuation 7
 
0.7%
Uppercase Letter 3
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
5.9%
37
 
5.9%
35
 
5.6%
34
 
5.4%
33
 
5.3%
33
 
5.3%
32
 
5.1%
32
 
5.1%
32
 
5.1%
31
 
4.9%
Other values (66) 292
46.5%
Decimal Number
ValueCountFrequency (%)
2 51
27.1%
1 42
22.3%
0 21
11.2%
3 15
 
8.0%
6 13
 
6.9%
8 12
 
6.4%
5 12
 
6.4%
9 9
 
4.8%
4 8
 
4.3%
7 5
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
I 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 628
58.4%
Common 444
41.3%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
5.9%
37
 
5.9%
35
 
5.6%
34
 
5.4%
33
 
5.3%
33
 
5.3%
32
 
5.1%
32
 
5.1%
32
 
5.1%
31
 
4.9%
Other values (66) 292
46.5%
Common
ValueCountFrequency (%)
163
36.7%
2 51
 
11.5%
1 42
 
9.5%
( 30
 
6.8%
) 30
 
6.8%
, 26
 
5.9%
0 21
 
4.7%
3 15
 
3.4%
6 13
 
2.9%
8 12
 
2.7%
Other values (5) 41
 
9.2%
Latin
ValueCountFrequency (%)
e 1
25.0%
S 1
25.0%
I 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 628
58.4%
ASCII 448
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
163
36.4%
2 51
 
11.4%
1 42
 
9.4%
( 30
 
6.7%
) 30
 
6.7%
, 26
 
5.8%
0 21
 
4.7%
3 15
 
3.3%
6 13
 
2.9%
8 12
 
2.7%
Other values (9) 45
 
10.0%
Hangul
ValueCountFrequency (%)
37
 
5.9%
37
 
5.9%
35
 
5.6%
34
 
5.4%
33
 
5.3%
33
 
5.3%
32
 
5.1%
32
 
5.1%
32
 
5.1%
31
 
4.9%
Other values (66) 292
46.5%

전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing4
Missing (%)12.5%
Memory size388.0 B
2023-12-11T02:27:54.305305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.892857
Min length9

Characters and Unicode

Total characters333
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

Unique28 ?
Unique (%)100.0%

Sample

1st row051-808-5205
2nd row051-744-4112
3rd row051-545-6777
4th row051-819-9112
5th row051-853-7700
ValueCountFrequency (%)
051-808-5205 1
 
3.6%
051-744-4112 1
 
3.6%
051-747-5404 1
 
3.6%
051-783-2693 1
 
3.6%
051-809-2889 1
 
3.6%
051-783-0011 1
 
3.6%
051-784-2100 1
 
3.6%
051-743-4999 1
 
3.6%
051-780-8030 1
 
3.6%
051-740-5740 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T02:27:54.986755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 55
16.5%
0 54
16.2%
5 50
15.0%
1 49
14.7%
7 27
8.1%
4 24
7.2%
2 21
 
6.3%
8 20
 
6.0%
3 14
 
4.2%
9 13
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
83.5%
Dash Punctuation 55
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
19.4%
5 50
18.0%
1 49
17.6%
7 27
9.7%
4 24
8.6%
2 21
 
7.6%
8 20
 
7.2%
3 14
 
5.0%
9 13
 
4.7%
6 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 55
16.5%
0 54
16.2%
5 50
15.0%
1 49
14.7%
7 27
8.1%
4 24
7.2%
2 21
 
6.3%
8 20
 
6.0%
3 14
 
4.2%
9 13
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 55
16.5%
0 54
16.2%
5 50
15.0%
1 49
14.7%
7 27
8.1%
4 24
7.2%
2 21
 
6.3%
8 20
 
6.0%
3 14
 
4.2%
9 13
 
3.9%

Correlations

2023-12-11T02:27:55.199012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독업소명칭주소전화번호
소독업소명칭1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-11T02:27:50.950586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:27:51.110399image/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

소독업소명칭주소전화번호
0페스코 부산점부산광역시 해운대구 재반로241번길 16-69, 1층 (반여동)<NA>
1S.O.K management부산광역시 해운대구 재반로 166, 교촌 2층 (재송동)051-808-5205
2대호부산광역시 해운대구 윗반송로 47-19 (반송동)051-744-4112
3제이원시스템부산광역시 해운대구 재반로256번길 43-25 (반여동)<NA>
4와이제이청소부산광역시 해운대구 선수촌로 21번길 21, 그린종합상가 2층 55호(반여동)<NA>
5사단법인 장애인정보예술협회 장우환경산업부산광역시 해운대구 윗반송로51번길 168, 1층 (반송동)051-545-6777
6(주)퓨머크린부산광역시 해운대구 센텀3로 32, 트럼프월드센텀2 2층 214호 (우동)051-819-9112
7미소부산광역시 해운대구 삼어로133번나길 8-12, 1층 (반여동)<NA>
8대동녹지건설(주)부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 A동 3202호 (재송동)051-853-7700
9(주)대성디엘부산광역시 해운대구 세실로 86, 지하1층 (좌동, 대천빌딩)1800-2134
소독업소명칭주소전화번호
22대건환경공사부산광역시 해운대구 반송2동 반송주공아파트 가동 상가 206호051-544-7776
23(주)에스앤지부산광역시 해운대구 해운대해변로 203, 1322호 (우동,오션타워)051-740-5740
24(주)장천부산광역시 해운대구 재송1동 1209 센텀IS타워 1002호051-780-8030
25주식회사 동방클린부산광역시 해운대구 우동1로85번길 17, 202호 (우동, 벽산상가)051-743-4999
26(주)에스지맥스부산광역시 해운대구 재반로112번길 9 (재송동,삼영빌딩 2층)051-784-2100
27현대종합시스템부산광역시 해운대구 재반로118번길 12, 2층 (재송동)051-783-0011
28보건방역공사부산광역시 해운대구 재송2로28번길 48-5 (재송동)051-809-2889
29대한환경공사부산광역시 해운대구 재반로 26 (재송동,3층)051-783-2693
30대영방역공사부산광역시 해운대구 해운대해변로209번나길 12 (우동,세움오피스텔 403호)051-747-5404
31부일방제부산광역시 해운대구 재반로 162-20 (재송동)051-782-1880