Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells3
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory964.0 B
Average record size in memory37.1 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 중구 소재 목욕장업에 관한 정보입니다. 파일명 인천광역시 중구 목욕장업현황 내용 업소명, 연락처, 주소 등
URLhttps://www.data.go.kr/data/15038686/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 3 (11.5%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:55:49.199899
Analysis finished2023-12-12 11:55:49.615736
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T20:55:49.804382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13.5
Mean length9
Min length3

Characters and Unicode

Total characters234
Distinct characters101
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row경동목욕탕
2nd row제일목욕탕
3rd row부용탕
4th row서해해수탕
5th row은하목욕탕
ValueCountFrequency (%)
사우나 2
 
5.7%
클럽올림푸스 2
 
5.7%
경동목욕탕 1
 
2.9%
하워드존슨사우나 1
 
2.9%
데이즈호텔앤스위트사우나 1
 
2.9%
스파온에어 1
 
2.9%
인천공항점 1
 
2.9%
씨메르(cimer 1
 
2.9%
뉴해모수 1
 
2.9%
사우나(sauna 1
 
2.9%
Other values (23) 23
65.7%
2023-12-12T20:55:50.269765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 15
 
6.4%
사 10
 
4.3%
우 10
 
4.3%
나 10
 
4.3%
9
 
3.8%
탕 7
 
3.0%
이 6
 
2.6%
해 6
 
2.6%
드 5
 
2.1%
수 5
 
2.1%
Other values (91) 151
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194
82.9%
Uppercase Letter 17
 
7.3%
Space Separator 9
 
3.8%
Open Punctuation 4
 
1.7%
Close Punctuation 4
 
1.7%
Lowercase Letter 4
 
1.7%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 15
 
7.7%
사 10
 
5.2%
우 10
 
5.2%
나 10
 
5.2%
탕 7
 
3.6%
이 6
 
3.1%
해 6
 
3.1%
드 5
 
2.6%
수 5
 
2.6%
파 4
 
2.1%
Other values (71) 116
59.8%
Uppercase Letter
ValueCountFrequency (%)
E 3
17.6%
U 2
11.8%
A 2
11.8%
R 2
11.8%
I 1
 
5.9%
C 1
 
5.9%
M 1
 
5.9%
Q 1
 
5.9%
V 1
 
5.9%
N 1
 
5.9%
Other values (2) 2
11.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
50.0%
u 1
25.0%
n 1
25.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194
82.9%
Latin 21
 
9.0%
Common 19
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 15
 
7.7%
사 10
 
5.2%
우 10
 
5.2%
나 10
 
5.2%
탕 7
 
3.6%
이 6
 
3.1%
해 6
 
3.1%
드 5
 
2.6%
수 5
 
2.6%
파 4
 
2.1%
Other values (71) 116
59.8%
Latin
ValueCountFrequency (%)
E 3
14.3%
U 2
 
9.5%
A 2
 
9.5%
R 2
 
9.5%
a 2
 
9.5%
I 1
 
4.8%
C 1
 
4.8%
M 1
 
4.8%
Q 1
 
4.8%
V 1
 
4.8%
Other values (5) 5
23.8%
Common
ValueCountFrequency (%)
9
47.4%
( 4
21.1%
) 4
21.1%
4 1
 
5.3%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194
82.9%
ASCII 40
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 15
 
7.7%
사 10
 
5.2%
우 10
 
5.2%
나 10
 
5.2%
탕 7
 
3.6%
이 6
 
3.1%
해 6
 
3.1%
드 5
 
2.6%
수 5
 
2.6%
파 4
 
2.1%
Other values (71) 116
59.8%
ASCII
ValueCountFrequency (%)
9
22.5%
( 4
 
10.0%
) 4
 
10.0%
E 3
 
7.5%
U 2
 
5.0%
A 2
 
5.0%
R 2
 
5.0%
a 2
 
5.0%
I 1
 
2.5%
C 1
 
2.5%
Other values (10) 10
25.0%

영업소 주소(도로명)
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T20:55:50.564516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40.5
Mean length34.576923
Min length22

Characters and Unicode

Total characters899
Distinct characters111
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row인천광역시 중구 우현로50번길 21 (경동)
2nd row인천광역시 중구 신포로27번길 44 (관동2가)
3rd row인천광역시 중구 도원로8번길 14, 1층 (신흥동3가)
4th row인천광역시 중구 연안부두로 15-1, 1,2층 (항동7가)
5th row인천광역시 중구 서해대로 478 (유동)
ValueCountFrequency (%)
인천광역시 26
 
15.6%
중구 26
 
15.6%
운서동 11
 
6.6%
영종해안남로321번길 4
 
2.4%
지하1층 4
 
2.4%
항동7가 4
 
2.4%
2층 4
 
2.4%
1층 2
 
1.2%
공항로424번길 2
 
1.2%
66 2
 
1.2%
Other values (73) 82
49.1%
2023-12-12T20:55:51.124597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
15.7%
1 35
 
3.9%
, 33
 
3.7%
인 31
 
3.4%
천 29
 
3.2%
시 29
 
3.2%
동 27
 
3.0%
중 27
 
3.0%
구 26
 
2.9%
광 26
 
2.9%
Other values (101) 495
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
57.7%
Decimal Number 143
 
15.9%
Space Separator 141
 
15.7%
Other Punctuation 33
 
3.7%
Close Punctuation 26
 
2.9%
Open Punctuation 26
 
2.9%
Uppercase Letter 8
 
0.9%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 31
 
6.0%
천 29
 
5.6%
시 29
 
5.6%
동 27
 
5.2%
중 27
 
5.2%
구 26
 
5.0%
광 26
 
5.0%
로 26
 
5.0%
역 26
 
5.0%
층 19
 
3.7%
Other values (82) 253
48.7%
Decimal Number
ValueCountFrequency (%)
1 35
24.5%
2 26
18.2%
3 15
10.5%
4 15
10.5%
7 14
 
9.8%
0 11
 
7.7%
6 10
 
7.0%
8 8
 
5.6%
5 5
 
3.5%
9 4
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
50.0%
G 2
25.0%
L 2
25.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
57.7%
Common 372
41.4%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 31
 
6.0%
천 29
 
5.6%
시 29
 
5.6%
동 27
 
5.2%
중 27
 
5.2%
구 26
 
5.0%
광 26
 
5.0%
로 26
 
5.0%
역 26
 
5.0%
층 19
 
3.7%
Other values (82) 253
48.7%
Common
ValueCountFrequency (%)
141
37.9%
1 35
 
9.4%
, 33
 
8.9%
2 26
 
7.0%
) 26
 
7.0%
( 26
 
7.0%
3 15
 
4.0%
4 15
 
4.0%
7 14
 
3.8%
0 11
 
3.0%
Other values (6) 30
 
8.1%
Latin
ValueCountFrequency (%)
B 4
50.0%
G 2
25.0%
L 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
57.7%
ASCII 380
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
37.1%
1 35
 
9.2%
, 33
 
8.7%
2 26
 
6.8%
) 26
 
6.8%
( 26
 
6.8%
3 15
 
3.9%
4 15
 
3.9%
7 14
 
3.7%
0 11
 
2.9%
Other values (9) 38
 
10.0%
Hangul
ValueCountFrequency (%)
인 31
 
6.0%
천 29
 
5.6%
시 29
 
5.6%
동 27
 
5.2%
중 27
 
5.2%
구 26
 
5.0%
광 26
 
5.0%
로 26
 
5.0%
역 26
 
5.0%
층 19
 
3.7%
Other values (82) 253
48.7%

소재지전화
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing3
Missing (%)11.5%
Memory size340.0 B
2023-12-12T20:55:51.381880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique21 ?
Unique (%)91.3%

Sample

1st row032-764-3571
2nd row032-772-1104
3rd row032-883-0846
4th row032-883-3029
5th row032-762-8484
ValueCountFrequency (%)
032-745-1106 2
 
8.7%
032-772-1104 1
 
4.3%
032-891-3400 1
 
4.3%
032-745-0052 1
 
4.3%
032-745-8361 1
 
4.3%
032-743-7042 1
 
4.3%
032-722-0088 1
 
4.3%
032-722-0070 1
 
4.3%
032-751-8887 1
 
4.3%
032-729-2170 1
 
4.3%
Other values (12) 12
52.2%
2023-12-12T20:55:51.803380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
0 43
15.6%
2 37
13.4%
3 33
12.0%
7 31
11.2%
8 26
9.4%
1 21
7.6%
5 14
 
5.1%
4 12
 
4.3%
6 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
18.7%
2 37
16.1%
3 33
14.3%
7 31
13.5%
8 26
11.3%
1 21
9.1%
5 14
 
6.1%
4 12
 
5.2%
6 9
 
3.9%
9 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
0 43
15.6%
2 37
13.4%
3 33
12.0%
7 31
11.2%
8 26
9.4%
1 21
7.6%
5 14
 
5.1%
4 12
 
4.3%
6 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
0 43
15.6%
2 37
13.4%
3 33
12.0%
7 31
11.2%
8 26
9.4%
1 21
7.6%
5 14
 
5.1%
4 12
 
4.3%
6 9
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-07-05
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-05
2nd row2023-07-05
3rd row2023-07-05
4th row2023-07-05
5th row2023-07-05

Common Values

ValueCountFrequency (%)
2023-07-05 26
100.0%

Length

2023-12-12T20:55:51.994685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:55:52.127913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-05 26
100.0%

Correlations

2023-12-12T20:55:52.207868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화
업소명1.0001.0001.000
영업소 주소(도로명)1.0001.0000.985
소재지전화1.0000.9851.000

Missing values

2023-12-12T20:55:49.480414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:55:49.576991image/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

업소명영업소 주소(도로명)소재지전화데이터기준일자
0경동목욕탕인천광역시 중구 우현로50번길 21 (경동)032-764-35712023-07-05
1제일목욕탕인천광역시 중구 신포로27번길 44 (관동2가)032-772-11042023-07-05
2부용탕인천광역시 중구 도원로8번길 14, 1층 (신흥동3가)032-883-08462023-07-05
3서해해수탕인천광역시 중구 연안부두로 15-1, 1,2층 (항동7가)032-883-30292023-07-05
4은하목욕탕인천광역시 중구 서해대로 478 (유동)032-762-84842023-07-05
5올림포스호텔사우나인천광역시 중구 제물량로 257 (항동1가)032-762-51812023-07-05
6고려스포렉스(고려해수탕)인천광역시 중구 연안부두로43번길 18 (항동7가)032-881-82112023-07-05
7명진해수탕인천광역시 중구 연안부두로11번길 3-1 (항동7가)032-883-07582023-07-05
8영종해수사우나인천광역시 중구 흰바위로 35, 지하1,2,지상3층 (운서동)032-751-50502023-07-05
924시불가마사우나인천광역시 중구 영종대로 100 (운서동,신성하우스빌)032-751-19372023-07-05
업소명영업소 주소(도로명)소재지전화데이터기준일자
16스카이랜드사우나인천광역시 중구 하늘달빛로 70, 8층 (중산동, 메디피아)032-751-88872023-07-05
17하워드존슨사우나인천광역시 중구 신도시남로142번길 6, 메가스타 영종 지하1층 (운서동)032-722-00702023-07-05
18데이즈호텔앤스위트사우나인천광역시 중구 신도시남로142번길 6, 메가스타 영종 지하1층 (운서동)032-722-00882023-07-05
19스파온에어 인천공항점인천광역시 중구 공항로 272, 인천공항제1여객터미널 지하동 1층 (운서동)032-743-70422023-07-05
20씨메르(CIMER) 사우나인천광역시 중구 영종해안남로321번길 186, 파라다이스시티씨메르 1,2층 (운서동)032-745-83612023-07-05
21뉴해모수인천광역시 중구 연안부두로 27, 2층 (항동7가)<NA>2023-07-05
22아쿠아벤쳐(AQUA VENTURE)사우나인천광역시 중구 용유서로 379, 더위크앤리조트 B6층 일부호 (을왕동)032-745-00522023-07-05
23이비스스타일 앰배서더 인천에어포트 사우나인천광역시 중구 제2터미널대로 340, 2층 일부 (운서동)032-310-72812023-07-05
24한옥가인천광역시 중구 공항로424번길 66, 지하1층 B110호 (운서동, LG인천공항에클라트)<NA>2023-07-05
25굿데이인천광역시 중구 공항로424번길 66, 지하1층 B107, B108호 (운서동, LG인천공항에클라트)<NA>2023-07-05