Overview

Dataset statistics

Number of variables3
Number of observations93
Missing cells36
Missing cells (%)12.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory25.4 B

Variable types

Text3

Dataset

Description부산광역시남구_노래연습장업현황_20210701
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15045444

Alerts

전화번호 has 36 (38.7%) missing valuesMissing

Reproduction

Analysis started2024-04-21 08:18:33.448118
Analysis finished2024-04-21 08:18:34.726557
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T17:18:35.393372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.4086022
Min length6

Characters and Unicode

Total characters782
Distinct characters174
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

Unique87 ?
Unique (%)93.5%

Sample

1st row너랑나랑노래연습장
2nd row에뜨랑제노래연습장
3rd row앗사노래연습장
4th row하프노래연습장
5th row야호노래연습장
ValueCountFrequency (%)
노래연습장 14
 
12.3%
세느노래연습장 2
 
1.8%
코인노래연습장 2
 
1.8%
코인싱어 2
 
1.8%
누구나노래연습장 2
 
1.8%
마법의송노래연습장 2
 
1.8%
대연점 1
 
0.9%
락휴 1
 
0.9%
비틀즈노래연습장 1
 
0.9%
아이팅노래연습장 1
 
0.9%
Other values (86) 86
75.4%
2024-04-21T17:18:36.688929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 95
 
12.1%
연 94
 
12.0%
노 93
 
11.9%
습 92
 
11.8%
장 92
 
11.8%
21
 
2.7%
인 9
 
1.2%
동 9
 
1.2%
코 9
 
1.2%
전 7
 
0.9%
Other values (164) 261
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 724
92.6%
Space Separator 21
 
2.7%
Uppercase Letter 21
 
2.7%
Decimal Number 8
 
1.0%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 95
13.1%
연 94
13.0%
노 93
12.8%
습 92
12.7%
장 92
12.7%
인 9
 
1.2%
동 9
 
1.2%
코 9
 
1.2%
전 7
 
1.0%
리 6
 
0.8%
Other values (141) 218
30.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
14.3%
A 2
9.5%
R 2
9.5%
T 2
9.5%
S 2
9.5%
C 2
9.5%
L 1
 
4.8%
E 1
 
4.8%
F 1
 
4.8%
D 1
 
4.8%
Other values (4) 4
19.0%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
0 2
25.0%
8 1
 
12.5%
1 1
 
12.5%
7 1
 
12.5%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 724
92.6%
Common 37
 
4.7%
Latin 21
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 95
13.1%
연 94
13.0%
노 93
12.8%
습 92
12.7%
장 92
12.7%
인 9
 
1.2%
동 9
 
1.2%
코 9
 
1.2%
전 7
 
1.0%
리 6
 
0.8%
Other values (141) 218
30.1%
Latin
ValueCountFrequency (%)
K 3
14.3%
A 2
9.5%
R 2
9.5%
T 2
9.5%
S 2
9.5%
C 2
9.5%
L 1
 
4.8%
E 1
 
4.8%
F 1
 
4.8%
D 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
21
56.8%
) 3
 
8.1%
2 3
 
8.1%
( 3
 
8.1%
- 2
 
5.4%
0 2
 
5.4%
8 1
 
2.7%
1 1
 
2.7%
7 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724
92.6%
ASCII 58
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 95
13.1%
연 94
13.0%
노 93
12.8%
습 92
12.7%
장 92
12.7%
인 9
 
1.2%
동 9
 
1.2%
코 9
 
1.2%
전 7
 
1.0%
리 6
 
0.8%
Other values (141) 218
30.1%
ASCII
ValueCountFrequency (%)
21
36.2%
K 3
 
5.2%
) 3
 
5.2%
2 3
 
5.2%
( 3
 
5.2%
A 2
 
3.4%
R 2
 
3.4%
T 2
 
3.4%
S 2
 
3.4%
- 2
 
3.4%
Other values (13) 15
25.9%

영업소도로명소재지
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T17:18:37.799778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length24.827957
Min length18

Characters and Unicode

Total characters2309
Distinct characters78
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)97.8%

Sample

1st row부산광역시 남구 용호로 112 (용호동)
2nd row부산광역시 남구 석포로 27 (감만동)
3rd row부산광역시 남구 동명로 125 (용호동)
4th row부산광역시 남구 문현로66번길 2 (문현동)
5th row부산광역시 남구 용호로 94, 지하 1층 (용호동)
ValueCountFrequency (%)
부산광역시 93
19.0%
남구 93
19.0%
대연동 42
 
8.6%
용호동 23
 
4.7%
문현동 13
 
2.7%
감만동 11
 
2.2%
동명로 8
 
1.6%
용소로14번길 6
 
1.2%
용소로8번길 6
 
1.2%
용소로13번길 6
 
1.2%
Other values (116) 188
38.4%
2024-04-21T17:18:39.292698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
396
 
17.2%
동 106
 
4.6%
남 98
 
4.2%
부 93
 
4.0%
광 93
 
4.0%
역 93
 
4.0%
시 93
 
4.0%
구 93
 
4.0%
산 93
 
4.0%
로 93
 
4.0%
Other values (68) 1058
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1375
59.5%
Space Separator 396
 
17.2%
Decimal Number 320
 
13.9%
Close Punctuation 92
 
4.0%
Open Punctuation 92
 
4.0%
Other Punctuation 24
 
1.0%
Dash Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
 
7.7%
남 98
 
7.1%
부 93
 
6.8%
광 93
 
6.8%
역 93
 
6.8%
시 93
 
6.8%
구 93
 
6.8%
산 93
 
6.8%
로 93
 
6.8%
용 63
 
4.6%
Other values (53) 457
33.2%
Decimal Number
ValueCountFrequency (%)
1 87
27.2%
2 47
14.7%
3 42
13.1%
4 30
 
9.4%
6 25
 
7.8%
5 20
 
6.2%
7 20
 
6.2%
9 20
 
6.2%
8 18
 
5.6%
0 11
 
3.4%
Space Separator
ValueCountFrequency (%)
396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1375
59.5%
Common 934
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
 
7.7%
남 98
 
7.1%
부 93
 
6.8%
광 93
 
6.8%
역 93
 
6.8%
시 93
 
6.8%
구 93
 
6.8%
산 93
 
6.8%
로 93
 
6.8%
용 63
 
4.6%
Other values (53) 457
33.2%
Common
ValueCountFrequency (%)
396
42.4%
) 92
 
9.9%
( 92
 
9.9%
1 87
 
9.3%
2 47
 
5.0%
3 42
 
4.5%
4 30
 
3.2%
6 25
 
2.7%
, 24
 
2.6%
5 20
 
2.1%
Other values (5) 79
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1375
59.5%
ASCII 934
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
396
42.4%
) 92
 
9.9%
( 92
 
9.9%
1 87
 
9.3%
2 47
 
5.0%
3 42
 
4.5%
4 30
 
3.2%
6 25
 
2.7%
, 24
 
2.6%
5 20
 
2.1%
Other values (5) 79
 
8.5%
Hangul
ValueCountFrequency (%)
동 106
 
7.7%
남 98
 
7.1%
부 93
 
6.8%
광 93
 
6.8%
역 93
 
6.8%
시 93
 
6.8%
구 93
 
6.8%
산 93
 
6.8%
로 93
 
6.8%
용 63
 
4.6%
Other values (53) 457
33.2%

전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing36
Missing (%)38.7%
Memory size872.0 B
2024-04-21T17:18:40.224023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique57 ?
Unique (%)100.0%

Sample

1st row051-628-8444
2nd row051-644-0604
3rd row051-627-6753
4th row051-631-8401
5th row051-623-2201
ValueCountFrequency (%)
051-631-7654 1
 
1.8%
051-632-5555 1
 
1.8%
051-643-4500 1
 
1.8%
051-636-3035 1
 
1.8%
051-636-0308 1
 
1.8%
051-622-4348 1
 
1.8%
051-621-1646 1
 
1.8%
051-623-3512 1
 
1.8%
051-643-8254 1
 
1.8%
051-611-9288 1
 
1.8%
Other values (47) 47
82.5%
2024-04-21T17:18:41.246425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.7%
1 92
13.5%
6 90
13.2%
5 85
12.4%
0 75
11.0%
2 72
10.5%
4 49
7.2%
3 40
 
5.8%
8 30
 
4.4%
7 24
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 92
16.1%
6 90
15.8%
5 85
14.9%
0 75
13.2%
2 72
12.6%
4 49
8.6%
3 40
7.0%
8 30
 
5.3%
7 24
 
4.2%
9 13
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.7%
1 92
13.5%
6 90
13.2%
5 85
12.4%
0 75
11.0%
2 72
10.5%
4 49
7.2%
3 40
 
5.8%
8 30
 
4.4%
7 24
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.7%
1 92
13.5%
6 90
13.2%
5 85
12.4%
0 75
11.0%
2 72
10.5%
4 49
7.2%
3 40
 
5.8%
8 30
 
4.4%
7 24
 
3.5%

Correlations

2024-04-21T17:18:41.402101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명영업소도로명소재지전화번호
상호명1.0000.9971.000
영업소도로명소재지0.9971.0001.000
전화번호1.0001.0001.000

Missing values

2024-04-21T17:18:34.391449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:18:34.630762image/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

상호명영업소도로명소재지전화번호
0너랑나랑노래연습장부산광역시 남구 용호로 112 (용호동)051-628-8444
1에뜨랑제노래연습장부산광역시 남구 석포로 27 (감만동)051-644-0604
2앗사노래연습장부산광역시 남구 동명로 125 (용호동)051-627-6753
3하프노래연습장부산광역시 남구 문현로66번길 2 (문현동)051-631-8401
4야호노래연습장부산광역시 남구 용호로 94, 지하 1층 (용호동)051-623-2201
5금메달노래연습장부산광역시 남구 진남로 210 (문현동)051-634-2892
6채플린노래연습장부산광역시 남구 용호로106번길 56 (용호동)051-623-5268
7영상노래연습장부산광역시 남구 수영로266번길 29 (대연동)051-647-6469
8감만노래연습장부산광역시 남구 홍곡로 4 (감만동)051-647-8417
9애니콜노래연습장부산광역시 남구 진남로 181 (문현동)051-632-5243
상호명영업소도로명소재지전화번호
83해피동전노래연습장부산광역시 남구 용소로8번길 17 (대연동)<NA>
84코인싱어 동전노래연습장부산광역시 남구 용소로19번길 20, 2층 (대연동, 혜성빌딩)<NA>
85아이코인 노래연습장부산광역시 남구 용소로13번길 26, 4층 (대연동)<NA>
86세븐스타코인 노래연습장부산광역시 남구 용소로13번길 12, 3층 (대연동, 쌍둥이빌딩)<NA>
87코인싱어 동전노래연습장(경성대점)부산광역시 남구 용소로8번길 7, 3층 (대연동)<NA>
88온 노래연습장부산광역시 남구 수영로322번길 22, 지하1층 (대연동, 반석빌딩)051-627-2225
89세븐스타 코인노래연습장 (용호동점)부산광역시 남구 동명로 142, 4층 (용호동)<NA>
90락휴 코인노래연습장 대연점부산광역시 남구 용소로7번길 45, 2층 (대연동)<NA>
91대왕동전노래연습장부산광역시 남구 용소로13번길 6 (대연동)<NA>
92큐브코인노래연습장부산광역시 남구 용소로13번길 13, 3층 (대연동)<NA>