Overview

Dataset statistics

Number of variables3
Number of observations40
Missing cells26
Missing cells (%)21.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory27.3 B

Variable types

Text3

Dataset

Description부산광역시해운대구_소독업소현황_20210727
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075594

Alerts

주소 has 3 (7.5%) missing valuesMissing
전화번호 has 23 (57.5%) missing valuesMissing
소독업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:27:32.766372
Analysis finished2023-12-10 17:27:33.735290
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소독업소명칭
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-11T02:27:34.002089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length7.15
Min length2

Characters and Unicode

Total characters286
Distinct characters120
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

Unique40 ?
Unique (%)100.0%

Sample

1st row방역시스템즈
2nd row베스트플레이어
3rd row그린텍
4th row신성커뮤니티(주)
5th row주식회사 운복
ValueCountFrequency (%)
주식회사 5
 
9.8%
방역시스템즈 1
 
2.0%
주)범경시스템 1
 
2.0%
duscon 1
 
2.0%
창보시스템 1
 
2.0%
주)보성기업 1
 
2.0%
a1 1
 
2.0%
시스템 1
 
2.0%
코월방제 1
 
2.0%
제로브이 1
 
2.0%
Other values (37) 37
72.5%
2023-12-11T02:27:34.753322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
5.2%
스 14
 
4.9%
11
 
3.8%
사 11
 
3.8%
) 10
 
3.5%
( 10
 
3.5%
이 8
 
2.8%
경 7
 
2.4%
방 6
 
2.1%
대 6
 
2.1%
Other values (110) 188
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
80.1%
Space Separator 11
 
3.8%
Close Punctuation 10
 
3.5%
Open Punctuation 10
 
3.5%
Uppercase Letter 10
 
3.5%
Lowercase Letter 10
 
3.5%
Decimal Number 4
 
1.4%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
6.6%
스 14
 
6.1%
사 11
 
4.8%
이 8
 
3.5%
경 7
 
3.1%
방 6
 
2.6%
대 6
 
2.6%
회 6
 
2.6%
환 6
 
2.6%
시 6
 
2.6%
Other values (88) 144
62.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
O 2
20.0%
A 1
10.0%
N 1
10.0%
C 1
10.0%
U 1
10.0%
D 1
10.0%
K 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
20.0%
a 2
20.0%
e 2
20.0%
n 2
20.0%
g 1
10.0%
t 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
3 1
25.0%
6 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
80.1%
Common 37
 
12.9%
Latin 20
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
6.6%
스 14
 
6.1%
사 11
 
4.8%
이 8
 
3.5%
경 7
 
3.1%
방 6
 
2.6%
대 6
 
2.6%
회 6
 
2.6%
환 6
 
2.6%
시 6
 
2.6%
Other values (88) 144
62.9%
Latin
ValueCountFrequency (%)
S 2
10.0%
O 2
10.0%
m 2
10.0%
a 2
10.0%
e 2
10.0%
n 2
10.0%
A 1
 
5.0%
N 1
 
5.0%
C 1
 
5.0%
U 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
11
29.7%
) 10
27.0%
( 10
27.0%
. 2
 
5.4%
1 1
 
2.7%
3 1
 
2.7%
6 1
 
2.7%
5 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
80.1%
ASCII 57
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
6.6%
스 14
 
6.1%
사 11
 
4.8%
이 8
 
3.5%
경 7
 
3.1%
방 6
 
2.6%
대 6
 
2.6%
회 6
 
2.6%
환 6
 
2.6%
시 6
 
2.6%
Other values (88) 144
62.9%
ASCII
ValueCountFrequency (%)
11
19.3%
) 10
17.5%
( 10
17.5%
S 2
 
3.5%
. 2
 
3.5%
O 2
 
3.5%
m 2
 
3.5%
a 2
 
3.5%
e 2
 
3.5%
n 2
 
3.5%
Other values (12) 12
21.1%

주소
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing3
Missing (%)7.5%
Memory size452.0 B
2023-12-11T02:27:35.374178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length34.405405
Min length25

Characters and Unicode

Total characters1273
Distinct characters106
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

Unique37 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 재반로84번길 73 (재송동)
2nd row부산광역시 해운대구 센텀중앙로 78, 센텀그린타워 1504호 (우동)
3rd row부산광역시 해운대구 재반로242번길 18, 114부동산 (반여동)
4th row부산광역시 해운대구 APEC로 17, 센텀리더스마크 2402호 (우동)
5th row부산광역시 해운대구 센텀중앙로 90, 큐비이센텀 1108호 (재송동)
ValueCountFrequency (%)
부산광역시 37
 
15.8%
해운대구 36
 
15.4%
재송동 9
 
3.8%
반여동 8
 
3.4%
우동 5
 
2.1%
2층 5
 
2.1%
재반로 4
 
1.7%
반송동 4
 
1.7%
1층 4
 
1.7%
좌동 3
 
1.3%
Other values (108) 119
50.9%
2023-12-11T02:27:36.347799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
15.5%
1 50
 
3.9%
해 44
 
3.5%
대 44
 
3.5%
2 43
 
3.4%
운 42
 
3.3%
시 41
 
3.2%
동 41
 
3.2%
산 39
 
3.1%
부 38
 
3.0%
Other values (96) 694
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
58.8%
Decimal Number 206
 
16.2%
Space Separator 197
 
15.5%
Close Punctuation 37
 
2.9%
Open Punctuation 37
 
2.9%
Other Punctuation 36
 
2.8%
Dash Punctuation 6
 
0.5%
Uppercase Letter 5
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 44
 
5.9%
대 44
 
5.9%
운 42
 
5.6%
시 41
 
5.5%
동 41
 
5.5%
산 39
 
5.2%
부 38
 
5.1%
광 38
 
5.1%
로 37
 
4.9%
역 37
 
4.9%
Other values (75) 347
46.4%
Decimal Number
ValueCountFrequency (%)
1 50
24.3%
2 43
20.9%
0 22
10.7%
3 19
 
9.2%
8 17
 
8.3%
4 13
 
6.3%
5 13
 
6.3%
6 12
 
5.8%
7 9
 
4.4%
9 8
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
P 1
20.0%
A 1
20.0%
B 1
20.0%
E 1
20.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
58.8%
Common 519
40.8%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 44
 
5.9%
대 44
 
5.9%
운 42
 
5.6%
시 41
 
5.5%
동 41
 
5.5%
산 39
 
5.2%
부 38
 
5.1%
광 38
 
5.1%
로 37
 
4.9%
역 37
 
4.9%
Other values (75) 347
46.4%
Common
ValueCountFrequency (%)
197
38.0%
1 50
 
9.6%
2 43
 
8.3%
) 37
 
7.1%
( 37
 
7.1%
, 36
 
6.9%
0 22
 
4.2%
3 19
 
3.7%
8 17
 
3.3%
4 13
 
2.5%
Other values (5) 48
 
9.2%
Latin
ValueCountFrequency (%)
e 1
16.7%
C 1
16.7%
P 1
16.7%
A 1
16.7%
B 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
58.8%
ASCII 525
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
37.5%
1 50
 
9.5%
2 43
 
8.2%
) 37
 
7.0%
( 37
 
7.0%
, 36
 
6.9%
0 22
 
4.2%
3 19
 
3.6%
8 17
 
3.2%
4 13
 
2.5%
Other values (11) 54
 
10.3%
Hangul
ValueCountFrequency (%)
해 44
 
5.9%
대 44
 
5.9%
운 42
 
5.6%
시 41
 
5.5%
동 41
 
5.5%
산 39
 
5.2%
부 38
 
5.1%
광 38
 
5.1%
로 37
 
4.9%
역 37
 
4.9%
Other values (75) 347
46.4%

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing23
Missing (%)57.5%
Memory size452.0 B
2023-12-11T02:27:36.760670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.705882
Min length8

Characters and Unicode

Total characters182
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

Unique17 ?
Unique (%)100.0%

Sample

1st row051-782-1795
2nd row051-743-7006
3rd row1668-2460
4th row051-808-5205
5th row051-744-4112
ValueCountFrequency (%)
051-782-1795 1
 
5.9%
1588-1119 1
 
5.9%
747-5404 1
 
5.9%
783-2693 1
 
5.9%
780-8030 1
 
5.9%
051-740-5740 1
 
5.9%
051-544-7776 1
 
5.9%
051-862-0477 1
 
5.9%
051-545-1150 1
 
5.9%
051-743-7006 1
 
5.9%
Other values (7) 7
41.2%
2023-12-11T02:27:37.463341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
17.6%
- 28
15.4%
1 24
13.2%
5 22
12.1%
7 20
11.0%
4 16
8.8%
8 13
7.1%
2 11
 
6.0%
6 7
 
3.8%
3 5
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
84.6%
Dash Punctuation 28
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
20.8%
1 24
15.6%
5 22
14.3%
7 20
13.0%
4 16
10.4%
8 13
8.4%
2 11
 
7.1%
6 7
 
4.5%
3 5
 
3.2%
9 4
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
17.6%
- 28
15.4%
1 24
13.2%
5 22
12.1%
7 20
11.0%
4 16
8.8%
8 13
7.1%
2 11
 
6.0%
6 7
 
3.8%
3 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
17.6%
- 28
15.4%
1 24
13.2%
5 22
12.1%
7 20
11.0%
4 16
8.8%
8 13
7.1%
2 11
 
6.0%
6 7
 
3.8%
3 5
 
2.7%

Correlations

2023-12-11T02:27:37.670495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독업소명칭주소전화번호
소독업소명칭1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-11T02:27:33.200248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:27:33.420311image/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.
2023-12-11T02:27:33.643492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

소독업소명칭주소전화번호
0방역시스템즈부산광역시 해운대구 재반로84번길 73 (재송동)<NA>
1베스트플레이어부산광역시 해운대구 센텀중앙로 78, 센텀그린타워 1504호 (우동)<NA>
2그린텍부산광역시 해운대구 재반로242번길 18, 114부동산 (반여동)<NA>
3신성커뮤니티(주)부산광역시 해운대구 APEC로 17, 센텀리더스마크 2402호 (우동)<NA>
4주식회사 운복부산광역시 해운대구 센텀중앙로 90, 큐비이센텀 1108호 (재송동)<NA>
5(주)우봉라이프부산광역시 해운대구 재반로 5, 마리포사 3층 (재송동)051-782-1795
6클린웍스부산광역시 해운대구 해운대로61번길 73, B동 105호 (반여동, 해운대 더샵센텀그린)<NA>
7메디존부산광역시 해운대구 좌동순환로 72, 마이우스골드오피스텔 103호 (좌동)051-743-7006
8더클린앳홈부산광역시 해운대구 마린시티2로 2, 마린파크 1층 115호 (우동)1668-2460
9주식회사 올데이365케어시스템부산광역시 해운대구 좌동로 152, 신도시시장 3층 304호 (좌동)<NA>
소독업소명칭주소전화번호
30대건환경공사<NA>051-544-7776
31(주)에스앤지부산광역시 해운대구 해운대해변로 203, 1322호 (우동,오션타워)051-740-5740
32(주)장천<NA>780-8030
33주식회사 동방클린부산광역시 해운대구 우동1로85번길 17, 202호 (우동, 벽산상가)<NA>
34(주)에스지맥스부산광역시 해운대구 재반로112번길 9 (재송동,삼영빌딩 2층)<NA>
35현대종합시스템부산광역시 해운대구 재반로84번길 13, 2층 (재송동)<NA>
36보건방역공사부산광역시 해운대구 재송2로28번길 48-5 (재송동)<NA>
37대한환경공사부산광역시 해운대구 재반로 26 (재송동,3층)783-2693
38대영방역공사부산광역시 해운대구 해운대해변로209번나길 12 (우동,세움오피스텔 403호)747-5404
39부일방제부산광역시 해운대구 재반로 162-20 (재송동)782-1880