Overview

Dataset statistics

Number of variables4
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.1 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시영도구_목욕탕현황_20230919
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15089294

Alerts

업종명 has constant value ""Constant
영업소 주소(도로명) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:22:52.080364
Analysis finished2023-12-10 17:22:52.824092
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
목욕장업
32 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목욕장업
2nd row목욕장업
3rd row목욕장업
4th row목욕장업
5th row목욕장업

Common Values

ValueCountFrequency (%)
목욕장업 32
100.0%

Length

2023-12-11T02:22:53.005333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:22:53.246973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 32
100.0%

업소명
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:22:53.637971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.5
Min length3

Characters and Unicode

Total characters112
Distinct characters57
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row억수탕
2nd row화천탕
3rd row약수탕
4th row양지탕
5th row국제탕
ValueCountFrequency (%)
약수탕 2
 
6.2%
청수탕 2
 
6.2%
억수탕 1
 
3.1%
풍년탕 1
 
3.1%
라발스호텔 1
 
3.1%
옥사이드 1
 
3.1%
주)호연사우나 1
 
3.1%
부산항 1
 
3.1%
주)태종대온천 1
 
3.1%
황토탕 1
 
3.1%
Other values (20) 20
62.5%
2023-12-11T02:22:54.401178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 26
23.2%
수 7
 
6.2%
대 6
 
5.4%
천 5
 
4.5%
청 3
 
2.7%
호 3
 
2.7%
화 3
 
2.7%
약 2
 
1.8%
사 2
 
1.8%
) 2
 
1.8%
Other values (47) 53
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109
97.3%
Close Punctuation 2
 
1.8%
Open Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 26
23.9%
수 7
 
6.4%
대 6
 
5.5%
천 5
 
4.6%
청 3
 
2.8%
호 3
 
2.8%
화 3
 
2.8%
약 2
 
1.8%
사 2
 
1.8%
주 2
 
1.8%
Other values (45) 50
45.9%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
97.3%
Common 3
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 26
23.9%
수 7
 
6.4%
대 6
 
5.5%
천 5
 
4.6%
청 3
 
2.8%
호 3
 
2.8%
화 3
 
2.8%
약 2
 
1.8%
사 2
 
1.8%
주 2
 
1.8%
Other values (45) 50
45.9%
Common
ValueCountFrequency (%)
) 2
66.7%
( 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
97.3%
ASCII 3
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 26
23.9%
수 7
 
6.4%
대 6
 
5.5%
천 5
 
4.6%
청 3
 
2.8%
호 3
 
2.8%
화 3
 
2.8%
약 2
 
1.8%
사 2
 
1.8%
주 2
 
1.8%
Other values (45) 50
45.9%
ASCII
ValueCountFrequency (%)
) 2
66.7%
( 1
33.3%

영업소 주소(도로명)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:22:54.907102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length25.5
Min length22

Characters and Unicode

Total characters816
Distinct characters72
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

Unique32 ?
Unique (%)100.0%

Sample

1st row부산광역시 영도구 하나길 503 (신선동2가)
2nd row부산광역시 영도구 한결길 53 (신선동1가)
3rd row부산광역시 영도구 청학로31번길 6 (청학동)
4th row부산광역시 영도구 절영로94번길 10-6 (남항동3가)
5th row부산광역시 영도구 절영로93번길 40-8 (영선동2가)
ValueCountFrequency (%)
부산광역시 32
19.6%
영도구 32
19.6%
동삼동 9
 
5.5%
청학동 5
 
3.1%
절영로 3
 
1.8%
하나길 3
 
1.8%
6 3
 
1.8%
남항동3가 2
 
1.2%
태종로 2
 
1.2%
신선동1가 2
 
1.2%
Other values (65) 70
42.9%
2023-12-11T02:22:55.851249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
16.1%
동 44
 
5.4%
영 43
 
5.3%
시 33
 
4.0%
부 32
 
3.9%
( 32
 
3.9%
) 32
 
3.9%
산 32
 
3.9%
구 32
 
3.9%
도 32
 
3.9%
Other values (62) 373
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
61.8%
Space Separator 131
 
16.1%
Decimal Number 108
 
13.2%
Open Punctuation 33
 
4.0%
Close Punctuation 33
 
4.0%
Other Punctuation 4
 
0.5%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
8.7%
영 43
 
8.5%
시 33
 
6.5%
부 32
 
6.3%
산 32
 
6.3%
구 32
 
6.3%
도 32
 
6.3%
역 32
 
6.3%
광 32
 
6.3%
로 25
 
5.0%
Other values (44) 167
33.1%
Decimal Number
ValueCountFrequency (%)
2 16
14.8%
3 15
13.9%
5 13
12.0%
1 13
12.0%
0 11
10.2%
6 9
8.3%
8 9
8.3%
4 8
7.4%
7 7
6.5%
9 7
6.5%
Open Punctuation
ValueCountFrequency (%)
( 32
97.0%
[ 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 32
97.0%
] 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
* 1
 
25.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
61.8%
Common 312
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
8.7%
영 43
 
8.5%
시 33
 
6.5%
부 32
 
6.3%
산 32
 
6.3%
구 32
 
6.3%
도 32
 
6.3%
역 32
 
6.3%
광 32
 
6.3%
로 25
 
5.0%
Other values (44) 167
33.1%
Common
ValueCountFrequency (%)
131
42.0%
( 32
 
10.3%
) 32
 
10.3%
2 16
 
5.1%
3 15
 
4.8%
5 13
 
4.2%
1 13
 
4.2%
0 11
 
3.5%
6 9
 
2.9%
8 9
 
2.9%
Other values (8) 31
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
61.8%
ASCII 312
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
42.0%
( 32
 
10.3%
) 32
 
10.3%
2 16
 
5.1%
3 15
 
4.8%
5 13
 
4.2%
1 13
 
4.2%
0 11
 
3.5%
6 9
 
2.9%
8 9
 
2.9%
Other values (8) 31
 
9.9%
Hangul
ValueCountFrequency (%)
동 44
 
8.7%
영 43
 
8.5%
시 33
 
6.5%
부 32
 
6.3%
산 32
 
6.3%
구 32
 
6.3%
도 32
 
6.3%
역 32
 
6.3%
광 32
 
6.3%
로 25
 
5.0%
Other values (44) 167
33.1%

소재지전화
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:22:56.309305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique32 ?
Unique (%)100.0%

Sample

1st row051-412-5004
2nd row051-417-2700
3rd row051-416-1110
4th row051-417-0643
5th row051-416-1891
ValueCountFrequency (%)
051-412-5004 1
 
3.1%
051-417-2700 1
 
3.1%
051-790-1500 1
 
3.1%
051-403-4050 1
 
3.1%
051-413-8890 1
 
3.1%
051-415-5689 1
 
3.1%
051-404-9001 1
 
3.1%
051-403-0658 1
 
3.1%
051-418-3030 1
 
3.1%
051-405-8110 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T02:22:57.028957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82
21.4%
1 71
18.5%
- 64
16.7%
5 54
14.1%
4 40
10.4%
8 16
 
4.2%
6 14
 
3.6%
3 12
 
3.1%
2 11
 
2.9%
7 11
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82
25.6%
1 71
22.2%
5 54
16.9%
4 40
12.5%
8 16
 
5.0%
6 14
 
4.4%
3 12
 
3.8%
2 11
 
3.4%
7 11
 
3.4%
9 9
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82
21.4%
1 71
18.5%
- 64
16.7%
5 54
14.1%
4 40
10.4%
8 16
 
4.2%
6 14
 
3.6%
3 12
 
3.1%
2 11
 
2.9%
7 11
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82
21.4%
1 71
18.5%
- 64
16.7%
5 54
14.1%
4 40
10.4%
8 16
 
4.2%
6 14
 
3.6%
3 12
 
3.1%
2 11
 
2.9%
7 11
 
2.9%

Correlations

2023-12-11T02:22:57.263680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화
업소명1.0001.0001.000
영업소 주소(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-11T02:22:52.505847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:22:52.744507image/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

업종명업소명영업소 주소(도로명)소재지전화
0목욕장업억수탕부산광역시 영도구 하나길 503 (신선동2가)051-412-5004
1목욕장업화천탕부산광역시 영도구 한결길 53 (신선동1가)051-417-2700
2목욕장업약수탕부산광역시 영도구 청학로31번길 6 (청학동)051-416-1110
3목욕장업양지탕부산광역시 영도구 절영로94번길 10-6 (남항동3가)051-417-0643
4목욕장업국제탕부산광역시 영도구 절영로93번길 40-8 (영선동2가)051-416-1891
5목욕장업외나무탕부산광역시 영도구 하나길 608 (신선동1가)051-416-3700
6목욕장업유성탕부산광역시 영도구 절영로 205 (영선동4가)051-416-6620
7목욕장업대화탕부산광역시 영도구 절영로 129 (영선동3가)051-416-0628
8목욕장업장수탕부산광역시 영도구 동삼로81번길 28 (동삼동)051-404-0855
9목욕장업천일탕부산광역시 영도구 동삼로 87-5 (동삼동)051-404-2121
업종명업소명영업소 주소(도로명)소재지전화
22목욕장업약수탕부산광역시 영도구 하나길 299 (신선동3가)051-417-0671
23목욕장업청수탕부산광역시 영도구 와치로 273 (동삼동)051-405-8110
24목욕장업영도해수랜드부산광역시 영도구 남항남로 42 (남항동3가)051-418-3030
25목욕장업황토탕부산광역시 영도구 청학남로 6 (청학동)051-403-0658
26목욕장업(주)태종대온천부산광역시 영도구 태종로 808 (동삼동)051-404-9001
27목욕장업부산항부산광역시 영도구 절영로35번길 56 (영선동2가)051-415-5689
28목욕장업주)호연사우나부산광역시 영도구 태종로 98, 701호 (대교동2가, 모닝아일랜드)051-413-8890
29목욕장업옥사이드부산광역시 영도구 와치로 235 (동삼동)051-403-4050
30목욕장업라발스호텔부산광역시 영도구 봉래나루로 82, 4층 (봉래동1가)051-790-1500
31목욕장업김천탕부산광역시 영도구 청학로 62 (청학동)[*미고시]051-962-4011