Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells2
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.7 B

Variable types

Categorical1
Text3

Dataset

Description충청남도 아산시 목욕장업소 현황으로 업소명, 업종명, 주소, 업소현황 등의 정보를 제공합니다.------------------------------------
URLhttps://www.data.go.kr/data/15055145/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 2 (7.1%) missing valuesMissing
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:26:14.792313
Analysis finished2023-12-11 23:26:15.377624
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
목욕장업
28 

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 28
100.0%

Length

2023-12-12T08:26:15.456331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:26:15.554349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 28
100.0%

업소명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T08:26:15.746446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length8.8214286
Min length4

Characters and Unicode

Total characters247
Distinct characters82
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

Unique28 ?
Unique (%)100.0%

Sample

1st row신정관온천탕
2nd row신천탕
3rd row파라다이스스파도고
4th row온양대온천탕
5th row용문 온천장
ValueCountFrequency (%)
신정관온천탕 1
 
2.7%
자바(황토찜질방 1
 
2.7%
리아주스파온양온천 1
 
2.7%
아산스파비스내목욕장 1
 
2.7%
정수온천탕 1
 
2.7%
주)도고별장 1
 
2.7%
스파피아 1
 
2.7%
온양온천탕 1
 
2.7%
신천 1
 
2.7%
옥 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T08:26:16.147166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
온 17
 
6.9%
16
 
6.5%
천 13
 
5.3%
탕 11
 
4.5%
( 8
 
3.2%
주 8
 
3.2%
) 8
 
3.2%
양 7
 
2.8%
스 7
 
2.8%
우 6
 
2.4%
Other values (72) 146
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
85.4%
Space Separator 16
 
6.5%
Open Punctuation 8
 
3.2%
Close Punctuation 8
 
3.2%
Uppercase Letter 4
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
온 17
 
8.1%
천 13
 
6.2%
탕 11
 
5.2%
주 8
 
3.8%
양 7
 
3.3%
스 7
 
3.3%
우 6
 
2.8%
사 6
 
2.8%
도 6
 
2.8%
나 6
 
2.8%
Other values (66) 124
58.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
Z 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
85.4%
Common 32
 
13.0%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
온 17
 
8.1%
천 13
 
6.2%
탕 11
 
5.2%
주 8
 
3.8%
양 7
 
3.3%
스 7
 
3.3%
우 6
 
2.8%
사 6
 
2.8%
도 6
 
2.8%
나 6
 
2.8%
Other values (66) 124
58.8%
Common
ValueCountFrequency (%)
16
50.0%
( 8
25.0%
) 8
25.0%
Latin
ValueCountFrequency (%)
A 2
50.0%
Z 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
85.4%
ASCII 36
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
온 17
 
8.1%
천 13
 
6.2%
탕 11
 
5.2%
주 8
 
3.8%
양 7
 
3.3%
스 7
 
3.3%
우 6
 
2.8%
사 6
 
2.8%
도 6
 
2.8%
나 6
 
2.8%
Other values (66) 124
58.8%
ASCII
ValueCountFrequency (%)
16
44.4%
( 8
22.2%
) 8
22.2%
A 2
 
5.6%
Z 1
 
2.8%
B 1
 
2.8%

영업소 주소(도로명)
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T08:26:16.415805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length30.5
Mean length26.571429
Min length21

Characters and Unicode

Total characters744
Distinct characters77
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 row충청남도 아산시 시민로 385 (온천동)
2nd row충청남도 아산시 온천대로 1469 (온천동,외7필지)
3rd row충청남도 아산시 선장면 도고온천로 176-1
4th row충청남도 아산시 온천대로 1510 (온천동,외 4필지)
5th row충청남도 아산시 온천대로 1481 (온천동)
ValueCountFrequency (%)
충청남도 28
17.8%
아산시 28
17.8%
온천동 10
 
6.4%
온천대로 6
 
3.8%
도고면 4
 
2.5%
도고온천로 3
 
1.9%
1층,2층 3
 
1.9%
음봉면 2
 
1.3%
1459 2
 
1.3%
온궁로 2
 
1.3%
Other values (64) 69
43.9%
2023-12-12T08:26:16.843673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
17.3%
도 36
 
4.8%
1 33
 
4.4%
충 31
 
4.2%
시 31
 
4.2%
아 30
 
4.0%
산 30
 
4.0%
온 29
 
3.9%
청 28
 
3.8%
남 28
 
3.8%
Other values (67) 339
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
59.1%
Space Separator 129
 
17.3%
Decimal Number 118
 
15.9%
Open Punctuation 17
 
2.3%
Close Punctuation 17
 
2.3%
Other Punctuation 16
 
2.2%
Dash Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 36
 
8.2%
충 31
 
7.0%
시 31
 
7.0%
아 30
 
6.8%
산 30
 
6.8%
온 29
 
6.6%
청 28
 
6.4%
남 28
 
6.4%
로 26
 
5.9%
천 24
 
5.5%
Other values (52) 147
33.4%
Decimal Number
ValueCountFrequency (%)
1 33
28.0%
4 15
12.7%
2 13
 
11.0%
6 12
 
10.2%
3 10
 
8.5%
5 9
 
7.6%
7 8
 
6.8%
8 7
 
5.9%
0 6
 
5.1%
9 5
 
4.2%
Space Separator
ValueCountFrequency (%)
129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
59.1%
Common 304
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 36
 
8.2%
충 31
 
7.0%
시 31
 
7.0%
아 30
 
6.8%
산 30
 
6.8%
온 29
 
6.6%
청 28
 
6.4%
남 28
 
6.4%
로 26
 
5.9%
천 24
 
5.5%
Other values (52) 147
33.4%
Common
ValueCountFrequency (%)
129
42.4%
1 33
 
10.9%
( 17
 
5.6%
) 17
 
5.6%
, 16
 
5.3%
4 15
 
4.9%
2 13
 
4.3%
6 12
 
3.9%
3 10
 
3.3%
5 9
 
3.0%
Other values (5) 33
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
59.1%
ASCII 304
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
42.4%
1 33
 
10.9%
( 17
 
5.6%
) 17
 
5.6%
, 16
 
5.3%
4 15
 
4.9%
2 13
 
4.3%
6 12
 
3.9%
3 10
 
3.3%
5 9
 
3.0%
Other values (5) 33
 
10.9%
Hangul
ValueCountFrequency (%)
도 36
 
8.2%
충 31
 
7.0%
시 31
 
7.0%
아 30
 
6.8%
산 30
 
6.8%
온 29
 
6.6%
청 28
 
6.4%
남 28
 
6.4%
로 26
 
5.9%
천 24
 
5.5%
Other values (52) 147
33.4%

소재지전화
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing2
Missing (%)7.1%
Memory size356.0 B
2023-12-12T08:26:17.079315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row041-541-0011
2nd row041-542-6666
3rd row041-537-7100
4th row041-532-0331
5th row041-545-8161
ValueCountFrequency (%)
041-542-6666 1
 
3.8%
041-537-7100 1
 
3.8%
041-542-7347 1
 
3.8%
041-557-2010 1
 
3.8%
041-544-4547 1
 
3.8%
041-541-3700 1
 
3.8%
041-538-1927 1
 
3.8%
041-543-7777 1
 
3.8%
041-532-4500 1
 
3.8%
041-545-2631 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T08:26:17.447891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 56
17.9%
- 52
16.7%
0 49
15.7%
1 49
15.7%
5 40
12.8%
2 19
 
6.1%
3 18
 
5.8%
7 14
 
4.5%
6 10
 
3.2%
9 3
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 56
21.5%
0 49
18.8%
1 49
18.8%
5 40
15.4%
2 19
 
7.3%
3 18
 
6.9%
7 14
 
5.4%
6 10
 
3.8%
9 3
 
1.2%
8 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 56
17.9%
- 52
16.7%
0 49
15.7%
1 49
15.7%
5 40
12.8%
2 19
 
6.1%
3 18
 
5.8%
7 14
 
4.5%
6 10
 
3.2%
9 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 56
17.9%
- 52
16.7%
0 49
15.7%
1 49
15.7%
5 40
12.8%
2 19
 
6.1%
3 18
 
5.8%
7 14
 
4.5%
6 10
 
3.2%
9 3
 
1.0%

Correlations

2023-12-12T08:26:17.553936image/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

2023-12-12T08:26:15.270384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:26:15.346203image/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
0목욕장업신정관온천탕충청남도 아산시 시민로 385 (온천동)041-541-0011
1목욕장업신천탕충청남도 아산시 온천대로 1469 (온천동,외7필지)041-542-6666
2목욕장업파라다이스스파도고충청남도 아산시 선장면 도고온천로 176-1041-537-7100
3목욕장업온양대온천탕충청남도 아산시 온천대로 1510 (온천동,외 4필지)041-532-0331
4목욕장업용문 온천장충청남도 아산시 온천대로 1481 (온천동)041-545-8161
5목욕장업청주온천탕충청남도 아산시 충무로8번길 6 (온천동)041-546-2156
6목욕장업옥수탕충청남도 아산시 삼동로 14, 1층,2층 (모종동)041-543-2222
7목욕장업현대탕충청남도 아산시 충무로 63 (권곡동)041-542-3201
8목욕장업도고로얄호텔불가마사우나충청남도 아산시 도고면 도고온천로 150041-543-5511
9목욕장업도고토비스콘도사우나충청남도 아산시 도고면 기곡로77번길 39041-541-5432
업종명업소명영업소 주소(도로명)소재지전화
18목욕장업(주)도고별장 스파피아충청남도 아산시 도고면 도고면로 188041-544-9560
19목욕장업온양온천탕충청남도 아산시 온궁로 33 (온천동)041-545-2631
20목욕장업신천 옥 사우나충청남도 아산시 온양역길 64 (온천동)041-532-4500
21목욕장업제일타워찜질방충청남도 아산시 시민로 346 (온천동,외5필지)041-543-7777
22목욕장업아산건강문화센터충청남도 아산시 실옥로 220, 온양 4동 주민센터 주민편익시설동 1층,2층 (배미동)041-538-1927
23목욕장업온양온천랜드충청남도 아산시 삼동로28번길 46 (모종동)041-541-3700
24목욕장업수철리한증막충청남도 아산시 배방읍 고불로 106-1, 4동041-544-4547
25목욕장업(주)천연사우나충청남도 아산시 배방읍 광장로 181, 6층 601호041-557-2010
26목욕장업둔포목욕장충청남도 아산시 둔포면 둔포중앙로 119-1, 1층,2층<NA>
27목욕장업(주)온양관광호텔사우나충청남도 아산시 온천대로 1459, 온양관광호텔 가동 지하1층 (온천동)041-540-1501