Overview

Dataset statistics

Number of variables5
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory41.7 B

Variable types

Categorical2
Text3

Dataset

Description부산광역시사하구_목욕장업업소현황_20230217
Author부산광역시 사하구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079299

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-10 16:09:19.875722
Analysis finished2023-12-10 16:09:20.622973
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
목욕장업
77 

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 77
100.0%

Length

2023-12-11T01:09:20.690985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:09:20.832365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 77
100.0%

업소명
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-12-11T01:09:21.151235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length4.1818182
Min length3

Characters and Unicode

Total characters322
Distinct characters108
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

Unique71 ?
Unique (%)92.2%

Sample

1st row희망온천
2nd row천수탕
3rd row신평탕
4th row청심탕
5th row명성탕
ValueCountFrequency (%)
승학탕 2
 
2.3%
목간 2
 
2.3%
만수탕 2
 
2.3%
해수탕 2
 
2.3%
사우나 2
 
2.3%
현대탕 2
 
2.3%
w사우나 1
 
1.1%
한솔 1
 
1.1%
한솔건강랜드 1
 
1.1%
녹천탕 1
 
1.1%
Other values (71) 71
81.6%
2023-12-11T01:09:21.694836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 58
 
18.0%
수 14
 
4.3%
우 13
 
4.0%
사 11
 
3.4%
나 10
 
3.1%
10
 
3.1%
대 9
 
2.8%
천 9
 
2.8%
동 6
 
1.9%
한 5
 
1.6%
Other values (98) 177
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
96.0%
Space Separator 10
 
3.1%
Uppercase Letter 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 58
 
18.8%
수 14
 
4.5%
우 13
 
4.2%
사 11
 
3.6%
나 10
 
3.2%
대 9
 
2.9%
천 9
 
2.9%
동 6
 
1.9%
한 5
 
1.6%
해 5
 
1.6%
Other values (94) 169
54.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
96.0%
Common 12
 
3.7%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 58
 
18.8%
수 14
 
4.5%
우 13
 
4.2%
사 11
 
3.6%
나 10
 
3.2%
대 9
 
2.9%
천 9
 
2.9%
동 6
 
1.9%
한 5
 
1.6%
해 5
 
1.6%
Other values (94) 169
54.7%
Common
ValueCountFrequency (%)
10
83.3%
) 1
 
8.3%
( 1
 
8.3%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
96.0%
ASCII 13
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 58
 
18.8%
수 14
 
4.5%
우 13
 
4.2%
사 11
 
3.6%
나 10
 
3.2%
대 9
 
2.9%
천 9
 
2.9%
동 6
 
1.9%
한 5
 
1.6%
해 5
 
1.6%
Other values (94) 169
54.7%
ASCII
ValueCountFrequency (%)
10
76.9%
W 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

영업소 주소(도로명)
Text

Distinct76
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-12-11T01:09:22.079138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length27.506494
Min length21

Characters and Unicode

Total characters2118
Distinct characters102
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

Unique75 ?
Unique (%)97.4%

Sample

1st row부산광역시 사하구 낙동대로309번길 21 (괴정동)
2nd row부산광역시 사하구 괴정로232번길 11-4 (괴정동)
3rd row부산광역시 사하구 장평로278번길 56 (신평동)
4th row부산광역시 사하구 장평로443번길 127 (괴정동)
5th row부산광역시 사하구 옥천로75번길 17 (감천동)
ValueCountFrequency (%)
부산광역시 77
19.2%
사하구 77
19.2%
괴정동 16
 
4.0%
다대동 14
 
3.5%
감천동 11
 
2.7%
하단동 10
 
2.5%
장림동 9
 
2.2%
신평동 8
 
2.0%
당리동 5
 
1.2%
윤공단로 4
 
1.0%
Other values (143) 170
42.4%
2023-12-11T01:09:22.596680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
15.3%
하 103
 
4.9%
동 89
 
4.2%
사 85
 
4.0%
산 80
 
3.8%
시 80
 
3.8%
( 79
 
3.7%
1 79
 
3.7%
역 79
 
3.7%
) 79
 
3.7%
Other values (92) 1041
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1285
60.7%
Space Separator 324
 
15.3%
Decimal Number 323
 
15.3%
Open Punctuation 79
 
3.7%
Close Punctuation 79
 
3.7%
Other Punctuation 18
 
0.8%
Dash Punctuation 9
 
0.4%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 103
 
8.0%
동 89
 
6.9%
사 85
 
6.6%
산 80
 
6.2%
시 80
 
6.2%
역 79
 
6.1%
구 78
 
6.1%
부 77
 
6.0%
광 77
 
6.0%
로 73
 
5.7%
Other values (75) 464
36.1%
Decimal Number
ValueCountFrequency (%)
1 79
24.5%
2 48
14.9%
3 41
12.7%
7 31
 
9.6%
0 31
 
9.6%
4 27
 
8.4%
5 23
 
7.1%
9 16
 
5.0%
8 14
 
4.3%
6 13
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1285
60.7%
Common 832
39.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 103
 
8.0%
동 89
 
6.9%
사 85
 
6.6%
산 80
 
6.2%
시 80
 
6.2%
역 79
 
6.1%
구 78
 
6.1%
부 77
 
6.0%
광 77
 
6.0%
로 73
 
5.7%
Other values (75) 464
36.1%
Common
ValueCountFrequency (%)
324
38.9%
( 79
 
9.5%
1 79
 
9.5%
) 79
 
9.5%
2 48
 
5.8%
3 41
 
4.9%
7 31
 
3.7%
0 31
 
3.7%
4 27
 
3.2%
5 23
 
2.8%
Other values (6) 70
 
8.4%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1285
60.7%
ASCII 833
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
38.9%
( 79
 
9.5%
1 79
 
9.5%
) 79
 
9.5%
2 48
 
5.8%
3 41
 
4.9%
7 31
 
3.7%
0 31
 
3.7%
4 27
 
3.2%
5 23
 
2.8%
Other values (7) 71
 
8.5%
Hangul
ValueCountFrequency (%)
하 103
 
8.0%
동 89
 
6.9%
사 85
 
6.6%
산 80
 
6.2%
시 80
 
6.2%
역 79
 
6.1%
구 78
 
6.1%
부 77
 
6.0%
광 77
 
6.0%
로 73
 
5.7%
Other values (75) 464
36.1%

소재지전화
Text

Distinct76
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-12-11T01:09:22.912471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters924
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

Unique75 ?
Unique (%)97.4%

Sample

1st row051-291-4177
2nd row051-293-7879
3rd row051-291-4091
4th row051-206-2216
5th row051-293-0675
ValueCountFrequency (%)
051-292-3232 2
 
2.6%
051-262-9326 1
 
1.3%
051-265-7973 1
 
1.3%
051-293-9191 1
 
1.3%
051-261-2248 1
 
1.3%
051-293-9977 1
 
1.3%
051-207-6421 1
 
1.3%
051-205-6663 1
 
1.3%
051-245-9440 1
 
1.3%
051-261-2222 1
 
1.3%
Other values (66) 66
85.7%
2023-12-11T01:09:23.328324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 160
17.3%
- 154
16.7%
2 131
14.2%
1 124
13.4%
5 112
12.1%
6 52
 
5.6%
3 51
 
5.5%
9 48
 
5.2%
7 34
 
3.7%
4 34
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
83.3%
Dash Punctuation 154
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 160
20.8%
2 131
17.0%
1 124
16.1%
5 112
14.5%
6 52
 
6.8%
3 51
 
6.6%
9 48
 
6.2%
7 34
 
4.4%
4 34
 
4.4%
8 24
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 160
17.3%
- 154
16.7%
2 131
14.2%
1 124
13.4%
5 112
12.1%
6 52
 
5.6%
3 51
 
5.5%
9 48
 
5.2%
7 34
 
3.7%
4 34
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 160
17.3%
- 154
16.7%
2 131
14.2%
1 124
13.4%
5 112
12.1%
6 52
 
5.6%
3 51
 
5.5%
9 48
 
5.2%
7 34
 
3.7%
4 34
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-02-17
77 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-17
2nd row2023-02-17
3rd row2023-02-17
4th row2023-02-17
5th row2023-02-17

Common Values

ValueCountFrequency (%)
2023-02-17 77
100.0%

Length

2023-12-11T01:09:23.463191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:09:23.565432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-17 77
100.0%

Correlations

2023-12-11T01:09:23.619746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화
업소명1.0000.9950.995
영업소 주소(도로명)0.9951.0001.000
소재지전화0.9951.0001.000

Missing values

2023-12-11T01:09:20.458822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:09:20.577593image/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)소재지전화데이터기준일자
0목욕장업희망온천부산광역시 사하구 낙동대로309번길 21 (괴정동)051-291-41772023-02-17
1목욕장업천수탕부산광역시 사하구 괴정로232번길 11-4 (괴정동)051-293-78792023-02-17
2목욕장업신평탕부산광역시 사하구 장평로278번길 56 (신평동)051-291-40912023-02-17
3목욕장업청심탕부산광역시 사하구 장평로443번길 127 (괴정동)051-206-22162023-02-17
4목욕장업명성탕부산광역시 사하구 옥천로75번길 17 (감천동)051-293-06752023-02-17
5목욕장업동양사우나부산광역시 사하구 장평로450번길 2 (괴정동)051-291-22412023-02-17
6목욕장업수원탕부산광역시 사하구 원양로398번길 79 (감천동)051-292-51362023-02-17
7목욕장업동산탕부산광역시 사하구 낙동남로1373번길 43 (하단동)051-201-09322023-02-17
8목욕장업문화탕부산광역시 사하구 다대로130번길 104 (신평동)051-205-14322023-02-17
9목욕장업복원탕부산광역시 사하구 장림번영로37번길 17 (장림동)051-261-72722023-02-17
업종명업소명영업소 주소(도로명)소재지전화데이터기준일자
67목욕장업신우탕부산광역시 사하구 마하로 43 (당리동)051-202-19072023-02-17
68목욕장업승학온천 스포츠랜드부산광역시 사하구 승학로 190 (괴정동)051-291-41002023-02-17
69목욕장업천호탕부산광역시 사하구 감내1로 169 (감천동)051-982-39602023-02-17
70목욕장업동원로얄탕부산광역시 사하구 하신중앙로 2, 121동 101,201호 (장림동, 동원로얄듀크)051-265-10062023-02-17
71목욕장업우리동네목욕탕부산광역시 사하구 승학로3번길 25 (하단동, 한울엠비시어스)051-203-44632023-02-17
72목욕장업청포탕부산광역시 사하구 다대낙조1길 51 (다대동)051-261-22552023-02-17
73목욕장업(주)올집웰리빙서비스 올짐사우나 대티지점부산광역시 사하구 낙동대로 137, 대티역스마트더블유인공지능 101,201호 (괴정동)051-207-82532023-02-17
74목욕장업레이어스호텔 사우나부산광역시 사하구 낙동남로 1395, 지하1층 (하단동)051-999-17002023-02-17
75목욕장업W사우나부산광역시 사하구 장림번영로104번길 10, 지하1층 (장림동, 사하장림역스마트W아파트)051-711-33512023-02-17
76목욕장업구평 목간부산광역시 사하구 을숙도대로 744, 사회복지회관 1층 (구평동)051-263-30452023-02-17