Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory37.6 B

Variable types

Numeric1
Text3

Dataset

Description대구광역시 서구 관내 목욕장업 현황에 대한 데이터로 업소명, 소재지, 업소전화번호 등의 항목을 제공합니다.*찜질방 포함
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15126624/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:24:15.913972
Analysis finished2024-03-14 09:24:16.859134
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-14T18:24:17.064412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-03-14T18:24:17.670978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

업소명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T18:24:18.398916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.6071429
Min length3

Characters and Unicode

Total characters157
Distinct characters76
Distinct categories2 ?
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 (%)100.0%

Sample

1st row황제피라미드불한증막
2nd row중리탕
3rd row퀸스로드휘트니스사우나
4th row장생탕
5th row영남탕
ValueCountFrequency (%)
황제피라미드불한증막 1
 
3.6%
중리탕 1
 
3.6%
뉴대구사우나 1
 
3.6%
대경산업개발 1
 
3.6%
화창사우나 1
 
3.6%
비산5동복지사우나 1
 
3.6%
호수탕 1
 
3.6%
원대휴랜드 1
 
3.6%
비산웰빙하와이사우나 1
 
3.6%
태영목욕탕 1
 
3.6%
Other values (18) 18
64.3%
2024-03-14T18:24:19.366730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 16
 
10.2%
목 10
 
6.4%
욕 10
 
6.4%
나 7
 
4.5%
우 7
 
4.5%
사 7
 
4.5%
대 5
 
3.2%
스 5
 
3.2%
산 4
 
2.5%
드 4
 
2.5%
Other values (66) 82
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156
99.4%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 16
 
10.3%
목 10
 
6.4%
욕 10
 
6.4%
나 7
 
4.5%
우 7
 
4.5%
사 7
 
4.5%
대 5
 
3.2%
스 5
 
3.2%
산 4
 
2.6%
드 4
 
2.6%
Other values (65) 81
51.9%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 16
 
10.3%
목 10
 
6.4%
욕 10
 
6.4%
나 7
 
4.5%
우 7
 
4.5%
사 7
 
4.5%
대 5
 
3.2%
스 5
 
3.2%
산 4
 
2.6%
드 4
 
2.6%
Other values (65) 81
51.9%
Common
ValueCountFrequency (%)
5 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 16
 
10.3%
목 10
 
6.4%
욕 10
 
6.4%
나 7
 
4.5%
우 7
 
4.5%
사 7
 
4.5%
대 5
 
3.2%
스 5
 
3.2%
산 4
 
2.6%
드 4
 
2.6%
Other values (65) 81
51.9%
ASCII
ValueCountFrequency (%)
5 1
100.0%

영업소 주소(도로명)
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T18:24:20.123793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length24.857143
Min length21

Characters and Unicode

Total characters696
Distinct characters49
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

Unique28 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 달구벌대로 1813 (내당동)
2nd row대구광역시 서구 국채보상로 149 (평리동)
3rd row대구광역시 서구 평리로35길 20 (중리동)
4th row대구광역시 서구 북비산로67길 5 (비산동)
5th row대구광역시 서구 북비산로74길 10 (비산동)
ValueCountFrequency (%)
대구광역시 28
19.6%
서구 28
19.6%
평리동 10
 
7.0%
비산동 9
 
6.3%
내당동 4
 
2.8%
원대동3가 3
 
2.1%
달서로 2
 
1.4%
평리로 2
 
1.4%
문화로 2
 
1.4%
10 2
 
1.4%
Other values (50) 53
37.1%
2024-03-14T18:24:21.197302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
16.5%
구 62
 
8.9%
대 37
 
5.3%
서 37
 
5.3%
동 28
 
4.0%
광 28
 
4.0%
역 28
 
4.0%
시 28
 
4.0%
로 28
 
4.0%
( 28
 
4.0%
Other values (39) 277
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
57.9%
Space Separator 115
 
16.5%
Decimal Number 111
 
15.9%
Open Punctuation 28
 
4.0%
Close Punctuation 28
 
4.0%
Dash Punctuation 6
 
0.9%
Other Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 62
15.4%
대 37
 
9.2%
서 37
 
9.2%
동 28
 
6.9%
광 28
 
6.9%
역 28
 
6.9%
시 28
 
6.9%
로 28
 
6.9%
길 15
 
3.7%
리 15
 
3.7%
Other values (24) 97
24.1%
Decimal Number
ValueCountFrequency (%)
3 23
20.7%
1 22
19.8%
2 21
18.9%
4 9
 
8.1%
5 9
 
8.1%
9 7
 
6.3%
0 7
 
6.3%
7 5
 
4.5%
6 5
 
4.5%
8 3
 
2.7%
Space Separator
ValueCountFrequency (%)
115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
57.9%
Common 293
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 62
15.4%
대 37
 
9.2%
서 37
 
9.2%
동 28
 
6.9%
광 28
 
6.9%
역 28
 
6.9%
시 28
 
6.9%
로 28
 
6.9%
길 15
 
3.7%
리 15
 
3.7%
Other values (24) 97
24.1%
Common
ValueCountFrequency (%)
115
39.2%
( 28
 
9.6%
) 28
 
9.6%
3 23
 
7.8%
1 22
 
7.5%
2 21
 
7.2%
4 9
 
3.1%
5 9
 
3.1%
9 7
 
2.4%
0 7
 
2.4%
Other values (5) 24
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
57.9%
ASCII 293
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
39.2%
( 28
 
9.6%
) 28
 
9.6%
3 23
 
7.8%
1 22
 
7.5%
2 21
 
7.2%
4 9
 
3.1%
5 9
 
3.1%
9 7
 
2.4%
0 7
 
2.4%
Other values (5) 24
 
8.2%
Hangul
ValueCountFrequency (%)
구 62
15.4%
대 37
 
9.2%
서 37
 
9.2%
동 28
 
6.9%
광 28
 
6.9%
역 28
 
6.9%
시 28
 
6.9%
로 28
 
6.9%
길 15
 
3.7%
리 15
 
3.7%
Other values (24) 97
24.1%

소재지전화
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T18:24:21.921420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique28 ?
Unique (%)100.0%

Sample

1st row053-551-1884
2nd row053-567-8152
3rd row053-555-5015
4th row053-567-3663
5th row053-562-8118
ValueCountFrequency (%)
053-551-1884 1
 
3.6%
053-567-8152 1
 
3.6%
053-567-5555 1
 
3.6%
053-766-9393 1
 
3.6%
053-263-9873 1
 
3.6%
053-351-0012 1
 
3.6%
053-553-8114 1
 
3.6%
053-358-5300 1
 
3.6%
053-556-2239 1
 
3.6%
053-567-0087 1
 
3.6%
Other values (18) 18
64.3%
2024-03-14T18:24:22.852506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 82
24.4%
- 56
16.7%
3 50
14.9%
0 45
13.4%
6 20
 
6.0%
8 17
 
5.1%
7 16
 
4.8%
2 16
 
4.8%
1 14
 
4.2%
9 12
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 82
29.3%
3 50
17.9%
0 45
16.1%
6 20
 
7.1%
8 17
 
6.1%
7 16
 
5.7%
2 16
 
5.7%
1 14
 
5.0%
9 12
 
4.3%
4 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 82
24.4%
- 56
16.7%
3 50
14.9%
0 45
13.4%
6 20
 
6.0%
8 17
 
5.1%
7 16
 
4.8%
2 16
 
4.8%
1 14
 
4.2%
9 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 82
24.4%
- 56
16.7%
3 50
14.9%
0 45
13.4%
6 20
 
6.0%
8 17
 
5.1%
7 16
 
4.8%
2 16
 
4.8%
1 14
 
4.2%
9 12
 
3.6%

Interactions

2024-03-14T18:24:16.152709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:24:23.006019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업소 주소(도로명)소재지전화
연번1.0001.0001.0001.000
업소명1.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2024-03-14T18:24:16.468625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:24:16.748880image/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

연번업소명영업소 주소(도로명)소재지전화
01황제피라미드불한증막대구광역시 서구 달구벌대로 1813 (내당동)053-551-1884
12중리탕대구광역시 서구 국채보상로 149 (평리동)053-567-8152
23퀸스로드휘트니스사우나대구광역시 서구 평리로35길 20 (중리동)053-555-5015
34장생탕대구광역시 서구 북비산로67길 5 (비산동)053-567-3663
45영남탕대구광역시 서구 북비산로74길 10 (비산동)053-562-8118
56그린목욕탕대구광역시 서구 국채보상로50길 3-6 (평리동)053-555-9345
67삼익스파빌대구광역시 서구 평리로 236 (내당동)053-571-0955
78대림목욕탕대구광역시 서구 서대구로19길 19 (평리동)053-567-2288
89세정목욕탕대구광역시 서구 고성로15길 19-15 (원대동3가)053-351-9337
910대화목욕탕대구광역시 서구 통학로20길 8 (평리동)053-566-2788
연번업소명영업소 주소(도로명)소재지전화
1819새길사우나대구광역시 서구 달서로 24 (내당동)053-562-7264
1920태영목욕탕대구광역시 서구 문화로 235 (평리동)053-567-0087
2021비산웰빙하와이사우나대구광역시 서구 문화로 322 (비산동)053-556-2239
2122원대휴랜드대구광역시 서구 달서로 253 (비산동)053-358-5300
2223호수탕대구광역시 서구 평리로 347-1 (평리동)053-553-8114
2324비산5동복지사우나대구광역시 서구 팔달로32길 12 (비산동)053-351-0012
2425화창사우나대구광역시 서구 고성로 91 (원대동3가)053-263-9873
2526대경산업개발대구광역시 서구 팔달로 194, 3층 (원대동3가)053-766-9393
2627뉴대구사우나대구광역시 서구 서대구로 45, 2,3층 (내당동)053-567-5555
2728엘사우나헬스대구광역시 서구 국채보상로 232, 7,8층 (평리동)053-552-5200