Overview

Dataset statistics

Number of variables5
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory41.7 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description사하구 내에 있는 공중위생업소인 목욕장 78개소의 업소명, 업종명, 소재지 주소, 전화번호 등 정보를 제공하고있습니다.
Author부산광역시 사하구
URLhttps://www.data.go.kr/data/3079299/fileData.do

Alerts

업종명 has constant value ""Constant
데이터 기준일 has constant value ""Constant

Reproduction

Analysis started2024-03-14 14:23:29.690368
Analysis finished2024-03-14 14:23:30.770155
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size720.0 B
목욕장업
74 

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 74
100.0%

Length

2024-03-14T23:23:30.990054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:23:31.306014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 74
100.0%

업소명
Text

Distinct71
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-14T23:23:32.385109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length4.1621622
Min length3

Characters and Unicode

Total characters308
Distinct characters105
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

Unique68 ?
Unique (%)91.9%

Sample

1st row희망온천
2nd row천수탕
3rd row신평탕
4th row청심탕
5th row명성탕
ValueCountFrequency (%)
현대탕 2
 
2.4%
목간 2
 
2.4%
해수탕 2
 
2.4%
승학탕 2
 
2.4%
만수탕 2
 
2.4%
다대온천 1
 
1.2%
스파존 1
 
1.2%
희망온천 1
 
1.2%
천지연 1
 
1.2%
녹천탕 1
 
1.2%
Other values (68) 68
81.9%
2024-03-14T23:23:33.899322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 56
 
18.2%
수 14
 
4.5%
우 12
 
3.9%
사 10
 
3.2%
천 9
 
2.9%
나 9
 
2.9%
대 9
 
2.9%
9
 
2.9%
동 6
 
1.9%
해 5
 
1.6%
Other values (95) 169
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
96.1%
Space Separator 9
 
2.9%
Uppercase Letter 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 56
 
18.9%
수 14
 
4.7%
우 12
 
4.1%
사 10
 
3.4%
천 9
 
3.0%
나 9
 
3.0%
대 9
 
3.0%
동 6
 
2.0%
해 5
 
1.7%
한 5
 
1.7%
Other values (91) 161
54.4%
Space Separator
ValueCountFrequency (%)
9
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
96.1%
Common 11
 
3.6%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 56
 
18.9%
수 14
 
4.7%
우 12
 
4.1%
사 10
 
3.4%
천 9
 
3.0%
나 9
 
3.0%
대 9
 
3.0%
동 6
 
2.0%
해 5
 
1.7%
한 5
 
1.7%
Other values (91) 161
54.4%
Common
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
96.1%
ASCII 12
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 56
 
18.9%
수 14
 
4.7%
우 12
 
4.1%
사 10
 
3.4%
천 9
 
3.0%
나 9
 
3.0%
대 9
 
3.0%
동 6
 
2.0%
해 5
 
1.7%
한 5
 
1.7%
Other values (91) 161
54.4%
ASCII
ValueCountFrequency (%)
9
75.0%
W 1
 
8.3%
( 1
 
8.3%
) 1
 
8.3%

영업소 주소(도로명)
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-14T23:23:34.732946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length27.540541
Min length21

Characters and Unicode

Total characters2038
Distinct characters101
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

Unique72 ?
Unique (%)97.3%

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 74
19.2%
사하구 74
19.2%
괴정동 16
 
4.1%
다대동 13
 
3.4%
감천동 11
 
2.8%
하단동 10
 
2.6%
장림동 8
 
2.1%
신평동 7
 
1.8%
당리동 5
 
1.3%
23 4
 
1.0%
Other values (139) 164
42.5%
2024-03-14T23:23:35.794013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
 
15.3%
하 99
 
4.9%
동 86
 
4.2%
사 82
 
4.0%
시 77
 
3.8%
1 77
 
3.8%
( 76
 
3.7%
역 76
 
3.7%
산 76
 
3.7%
) 76
 
3.7%
Other values (91) 1001
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1234
60.5%
Space Separator 312
 
15.3%
Decimal Number 312
 
15.3%
Open Punctuation 76
 
3.7%
Close Punctuation 76
 
3.7%
Other Punctuation 18
 
0.9%
Dash Punctuation 9
 
0.4%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 99
 
8.0%
동 86
 
7.0%
사 82
 
6.6%
시 77
 
6.2%
역 76
 
6.2%
산 76
 
6.2%
구 75
 
6.1%
부 74
 
6.0%
광 74
 
6.0%
로 71
 
5.8%
Other values (74) 444
36.0%
Decimal Number
ValueCountFrequency (%)
1 77
24.7%
2 45
14.4%
3 40
12.8%
0 31
9.9%
7 30
 
9.6%
4 26
 
8.3%
5 21
 
6.7%
9 16
 
5.1%
8 13
 
4.2%
6 13
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1234
60.5%
Common 803
39.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 99
 
8.0%
동 86
 
7.0%
사 82
 
6.6%
시 77
 
6.2%
역 76
 
6.2%
산 76
 
6.2%
구 75
 
6.1%
부 74
 
6.0%
광 74
 
6.0%
로 71
 
5.8%
Other values (74) 444
36.0%
Common
ValueCountFrequency (%)
312
38.9%
1 77
 
9.6%
( 76
 
9.5%
) 76
 
9.5%
2 45
 
5.6%
3 40
 
5.0%
0 31
 
3.9%
7 30
 
3.7%
4 26
 
3.2%
5 21
 
2.6%
Other values (6) 69
 
8.6%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1234
60.5%
ASCII 804
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
38.8%
1 77
 
9.6%
( 76
 
9.5%
) 76
 
9.5%
2 45
 
5.6%
3 40
 
5.0%
0 31
 
3.9%
7 30
 
3.7%
4 26
 
3.2%
5 21
 
2.6%
Other values (7) 70
 
8.7%
Hangul
ValueCountFrequency (%)
하 99
 
8.0%
동 86
 
7.0%
사 82
 
6.6%
시 77
 
6.2%
역 76
 
6.2%
산 76
 
6.2%
구 75
 
6.1%
부 74
 
6.0%
광 74
 
6.0%
로 71
 
5.8%
Other values (74) 444
36.0%

소재지전화
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-14T23:23:36.602050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters1036
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)97.3%

Sample

1st row 051- 291-4177
2nd row 051- 293-7879
3rd row 051- 291-4091
4th row 051- 206-2216
5th row 051- 293-0675
ValueCountFrequency (%)
051 73
43.2%
208 4
 
2.4%
202 2
 
1.2%
261 2
 
1.2%
263 2
 
1.2%
292-3232 2
 
1.2%
0900 1
 
0.6%
261-2222 1
 
0.6%
0079 1
 
0.6%
294 1
 
0.6%
Other values (80) 80
47.3%
2024-03-14T23:23:37.693354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
15.0%
148
14.3%
- 148
14.3%
2 126
12.2%
1 120
11.6%
5 106
10.2%
3 51
 
4.9%
6 50
 
4.8%
9 46
 
4.4%
7 32
 
3.1%
Other values (2) 54
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 740
71.4%
Space Separator 148
 
14.3%
Dash Punctuation 148
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
20.9%
2 126
17.0%
1 120
16.2%
5 106
14.3%
3 51
 
6.9%
6 50
 
6.8%
9 46
 
6.2%
7 32
 
4.3%
4 31
 
4.2%
8 23
 
3.1%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1036
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
15.0%
148
14.3%
- 148
14.3%
2 126
12.2%
1 120
11.6%
5 106
10.2%
3 51
 
4.9%
6 50
 
4.8%
9 46
 
4.4%
7 32
 
3.1%
Other values (2) 54
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
15.0%
148
14.3%
- 148
14.3%
2 126
12.2%
1 120
11.6%
5 106
10.2%
3 51
 
4.9%
6 50
 
4.8%
9 46
 
4.4%
7 32
 
3.1%
Other values (2) 54
 
5.2%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size720.0 B
Minimum2024-02-14 00:00:00
Maximum2024-02-14 00:00:00
2024-03-14T23:23:37.953075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:23:38.140869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-14T23:23:38.261854image/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

2024-03-14T23:23:30.331244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:23:30.645759image/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)소재지전화데이터 기준일
0목욕장업희망온천부산광역시 사하구 낙동대로309번길 21 (괴정동)051- 291-41772024-02-14
1목욕장업천수탕부산광역시 사하구 괴정로232번길 11-4 (괴정동)051- 293-78792024-02-14
2목욕장업신평탕부산광역시 사하구 장평로278번길 56 (신평동)051- 291-40912024-02-14
3목욕장업청심탕부산광역시 사하구 장평로443번길 127 (괴정동)051- 206-22162024-02-14
4목욕장업명성탕부산광역시 사하구 옥천로75번길 17 (감천동)051- 293-06752024-02-14
5목욕장업동양사우나부산광역시 사하구 장평로450번길 2 (괴정동)051- 291-22412024-02-14
6목욕장업수원탕부산광역시 사하구 원양로398번길 79 (감천동)051- 292-51362024-02-14
7목욕장업동산탕부산광역시 사하구 낙동남로1373번길 43 (하단동)051- 201-09322024-02-14
8목욕장업문화탕부산광역시 사하구 다대로130번길 104 (신평동)051- 205-14322024-02-14
9목욕장업복원탕부산광역시 사하구 장림번영로37번길 17 (장림동)051- 261-72722024-02-14
업종명업소명영업소 주소(도로명)소재지전화데이터 기준일
64목욕장업만수탕부산광역시 사하구 장림시장5길 255 (장림동)051 -996 -44952024-02-14
65목욕장업신우탕부산광역시 사하구 마하로 43 (당리동)051 -202 -19072024-02-14
66목욕장업승학온천 스포츠랜드부산광역시 사하구 승학로 190 (괴정동)051 -291 -41002024-02-14
67목욕장업천호탕부산광역시 사하구 감내1로 169 (감천동)051-982 -39602024-02-14
68목욕장업동원로얄탕부산광역시 사하구 하신중앙로 2, 121동 101,201호 (장림동, 동원로얄듀크)051 -265 -10062024-02-14
69목욕장업우리동네목욕탕부산광역시 사하구 승학로3번길 25 (하단동, 한울엠비시어스)051 -203 -44632024-02-14
70목욕장업(주)올집웰리빙서비스 올짐사우나 대티지점부산광역시 사하구 낙동대로 137, 대티역스마트더블유인공지능 101,201호 (괴정동)051 -207 -82532024-02-14
71목욕장업레이어스호텔 사우나부산광역시 사하구 낙동남로 1395, 지하1층 (하단동)051 - 999-17002024-02-14
72목욕장업W사우나부산광역시 사하구 장림번영로104번길 10, 지하1층 (장림동, 사하장림역스마트W아파트)051 -711 -33512024-02-14
73목욕장업구평 목간부산광역시 사하구 을숙도대로 744, 사회복지회관 1층 (구평동)051 -263 -30452024-02-14