Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells2
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory47.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 연수구 내의 목욕장 업소 데이터로서 업소명, 소재지, 소재지 전화 등의 데이터 항목 제공<br/>- 업종명, 업소명, 업소소재지(도로명), 소재지전화 등으로 구분<br/>
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3082280&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지전화 has 2 (9.1%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-14 03:07:28.789353
Analysis finished2024-04-14 03:07:29.531401
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-14T12:07:29.585965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-14T12:07:29.689624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
목욕장업
22 

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 22
100.0%

Length

2024-04-14T12:07:29.786978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:07:29.859070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 22
100.0%

업소명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-14T12:07:30.010916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.9090909
Min length3

Characters and Unicode

Total characters174
Distinct characters92
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row라마다송도사우나
2nd row연수 대중탕
3rd row영남스포츠 월드
4th row아주 목욕탕
5th row청학그린대중탕
ValueCountFrequency (%)
사우나 2
 
5.1%
한증막 2
 
5.1%
목욕탕 2
 
5.1%
라마다송도사우나 1
 
2.6%
쉐라톤휘트니스 1
 
2.6%
주)퍼스트웰니스 1
 
2.6%
태평양사우나 1
 
2.6%
무릉도원 1
 
2.6%
해든자리 1
 
2.6%
여성사우나 1
 
2.6%
Other values (26) 26
66.7%
2024-04-14T12:07:30.281913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
9.8%
우 8
 
4.6%
스 8
 
4.6%
사 7
 
4.0%
나 7
 
4.0%
탕 4
 
2.3%
송 4
 
2.3%
도 4
 
2.3%
라 3
 
1.7%
막 3
 
1.7%
Other values (82) 109
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
87.9%
Space Separator 17
 
9.8%
Decimal Number 2
 
1.1%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 8
 
5.2%
스 8
 
5.2%
사 7
 
4.6%
나 7
 
4.6%
탕 4
 
2.6%
송 4
 
2.6%
도 4
 
2.6%
라 3
 
2.0%
막 3
 
2.0%
파 3
 
2.0%
Other values (77) 102
66.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
87.9%
Common 21
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 8
 
5.2%
스 8
 
5.2%
사 7
 
4.6%
나 7
 
4.6%
탕 4
 
2.6%
송 4
 
2.6%
도 4
 
2.6%
라 3
 
2.0%
막 3
 
2.0%
파 3
 
2.0%
Other values (77) 102
66.7%
Common
ValueCountFrequency (%)
17
81.0%
) 1
 
4.8%
( 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
87.9%
ASCII 21
 
12.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
81.0%
) 1
 
4.8%
( 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
Hangul
ValueCountFrequency (%)
우 8
 
5.2%
스 8
 
5.2%
사 7
 
4.6%
나 7
 
4.6%
탕 4
 
2.6%
송 4
 
2.6%
도 4
 
2.6%
라 3
 
2.0%
막 3
 
2.0%
파 3
 
2.0%
Other values (77) 102
66.7%

업소소재지(도로명)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-14T12:07:30.476316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44.5
Mean length40.272727
Min length26

Characters and Unicode

Total characters886
Distinct characters118
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

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 능허대로267번길 29 (동춘동)
2nd row인천광역시 연수구 원인재로 216, 연수1차,승기마을,원인재마을 401동 B01호 (연수동)
3rd row인천광역시 연수구 새말로107번길 16, 영남스포츠센터 2층 (연수동)
4th row인천광역시 연수구 먼우금로63번길 13, 2동 지하층 2-2호 (동춘동, 아주상가)
5th row인천광역시 연수구 비류대로256번길 8-14, 지하1~2층 (청학동, 지하1층(남), 지하2층(여))
ValueCountFrequency (%)
인천광역시 22
 
13.3%
연수구 22
 
13.3%
송도동 6
 
3.6%
동춘동 5
 
3.0%
옥련동 4
 
2.4%
1층 4
 
2.4%
지하 4
 
2.4%
연수동 3
 
1.8%
청학동 3
 
1.8%
13 2
 
1.2%
Other values (85) 91
54.8%
2024-04-14T12:07:30.772034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
16.3%
1 45
 
5.1%
, 34
 
3.8%
동 34
 
3.8%
인 27
 
3.0%
연 26
 
2.9%
수 26
 
2.9%
) 25
 
2.8%
시 25
 
2.8%
( 25
 
2.8%
Other values (108) 475
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 508
57.3%
Space Separator 144
 
16.3%
Decimal Number 139
 
15.7%
Other Punctuation 34
 
3.8%
Close Punctuation 25
 
2.8%
Open Punctuation 25
 
2.8%
Uppercase Letter 8
 
0.9%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
6.7%
인 27
 
5.3%
연 26
 
5.1%
수 26
 
5.1%
시 25
 
4.9%
천 24
 
4.7%
로 23
 
4.5%
구 22
 
4.3%
역 22
 
4.3%
광 22
 
4.3%
Other values (90) 257
50.6%
Decimal Number
ValueCountFrequency (%)
1 45
32.4%
2 21
15.1%
0 18
 
12.9%
3 11
 
7.9%
6 10
 
7.2%
7 9
 
6.5%
4 7
 
5.0%
8 6
 
4.3%
5 6
 
4.3%
9 6
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
87.5%
G 1
 
12.5%
Space Separator
ValueCountFrequency (%)
144
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 508
57.3%
Common 370
41.8%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
6.7%
인 27
 
5.3%
연 26
 
5.1%
수 26
 
5.1%
시 25
 
4.9%
천 24
 
4.7%
로 23
 
4.5%
구 22
 
4.3%
역 22
 
4.3%
광 22
 
4.3%
Other values (90) 257
50.6%
Common
ValueCountFrequency (%)
144
38.9%
1 45
 
12.2%
, 34
 
9.2%
) 25
 
6.8%
( 25
 
6.8%
2 21
 
5.7%
0 18
 
4.9%
3 11
 
3.0%
6 10
 
2.7%
7 9
 
2.4%
Other values (6) 28
 
7.6%
Latin
ValueCountFrequency (%)
B 7
87.5%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 508
57.3%
ASCII 378
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
38.1%
1 45
 
11.9%
, 34
 
9.0%
) 25
 
6.6%
( 25
 
6.6%
2 21
 
5.6%
0 18
 
4.8%
3 11
 
2.9%
6 10
 
2.6%
7 9
 
2.4%
Other values (8) 36
 
9.5%
Hangul
ValueCountFrequency (%)
동 34
 
6.7%
인 27
 
5.3%
연 26
 
5.1%
수 26
 
5.1%
시 25
 
4.9%
천 24
 
4.7%
로 23
 
4.5%
구 22
 
4.3%
역 22
 
4.3%
광 22
 
4.3%
Other values (90) 257
50.6%

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2024-04-14T12:07:30.897082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters280
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

Unique20 ?
Unique (%)100.0%

Sample

1st row 032- 811-1156
2nd row 032- 811-3111
3rd row 032- 815-4415
4th row 032- 831-3120
5th row 032- 819-7433
ValueCountFrequency (%)
032 19
42.2%
835 2
 
4.4%
822 2
 
4.4%
816-7775 1
 
2.2%
3396 1
 
2.2%
1253 1
 
2.2%
7772 1
 
2.2%
834 1
 
2.2%
7462-8000 1
 
2.2%
070 1
 
2.2%
Other values (15) 15
33.3%
2024-04-14T12:07:31.107471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
14.6%
- 40
14.3%
39
13.9%
3 36
12.9%
2 31
11.1%
1 26
9.3%
8 23
8.2%
7 15
 
5.4%
5 11
 
3.9%
4 8
 
2.9%
Other values (2) 10
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
71.8%
Dash Punctuation 40
 
14.3%
Space Separator 39
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
20.4%
3 36
17.9%
2 31
15.4%
1 26
12.9%
8 23
11.4%
7 15
 
7.5%
5 11
 
5.5%
4 8
 
4.0%
6 6
 
3.0%
9 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
14.6%
- 40
14.3%
39
13.9%
3 36
12.9%
2 31
11.1%
1 26
9.3%
8 23
8.2%
7 15
 
5.4%
5 11
 
3.9%
4 8
 
2.9%
Other values (2) 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
14.6%
- 40
14.3%
39
13.9%
3 36
12.9%
2 31
11.1%
1 26
9.3%
8 23
8.2%
7 15
 
5.4%
5 11
 
3.9%
4 8
 
2.9%
Other values (2) 10
 
3.6%

Interactions

2024-04-14T12:07:29.361650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:07:31.180694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업소소재지(도로명)소재지전화
연번1.0001.0001.0001.000
업소명1.0001.0001.0001.000
업소소재지(도로명)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2024-04-14T12:07:29.435067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:07:29.502407image/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

연번업종명업소명업소소재지(도로명)소재지전화
01목욕장업라마다송도사우나인천광역시 연수구 능허대로267번길 29 (동춘동)<NA>
12목욕장업연수 대중탕인천광역시 연수구 원인재로 216, 연수1차,승기마을,원인재마을 401동 B01호 (연수동)032- 811-1156
23목욕장업영남스포츠 월드인천광역시 연수구 새말로107번길 16, 영남스포츠센터 2층 (연수동)032- 811-3111
34목욕장업아주 목욕탕인천광역시 연수구 먼우금로63번길 13, 2동 지하층 2-2호 (동춘동, 아주상가)032- 815-4415
45목욕장업청학그린대중탕인천광역시 연수구 비류대로256번길 8-14, 지하1~2층 (청학동, 지하1층(남), 지하2층(여))032- 831-3120
56목욕장업세경 스포츠 사우나인천광역시 연수구 새말로 134, 지하 1층 (연수동, 세경상가)032- 819-7433
67목욕장업송도 하와이 목욕탕인천광역시 연수구 능허대로79번길 30, 지하 1층 (옥련동, 럭키송도아파트상가)032- 710-5700
78목욕장업백두산 랜드인천광역시 연수구 앵고개로 250, 2동 (동춘동)032- 818-2601
89목욕장업진부령 한증막인천광역시 연수구 청량로97번길 41 (동춘동)032- 833-1444
910목욕장업선학스파24시불한증막사우나인천광역시 연수구 선학로 101, 지하 1층 101호 (선학동, 뉴서울아파트상가동 )032- 815-2288
연번업종명업소명업소소재지(도로명)소재지전화
1213목욕장업오라카이 송도파크호텔 사우나인천광역시 연수구 테크노파크로 151, 지상4층 (송도동)032- 210-7000
1314목욕장업쉐라톤휘트니스인천광역시 연수구 컨벤시아대로 153, 지상 6층 (송도동, 쉐라톤인천호텔 내)032 -835 -1000
1415목욕장업(주)퍼스트웰니스인천광역시 연수구 해돋이로 107 (송도동, 퍼스트월드 G동 128호(지상2층))032 -835 -7000
1516목욕장업태평양사우나인천광역시 연수구 비류대로 170, 지하 1층B01호, 지하2층 B02호 (옥련동)070 -7462-8000
1617목욕장업무릉도원인천광역시 연수구 청량로102번길 34, 지하1층, 지상1층 (옥련동)032 -834 -7772
1718목욕장업해든자리 여성사우나 불 한증막인천광역시 연수구 원인재로 124, 상가동 B13,B30호 (동춘동, 한양1차아파트)032 -822 -1253
1819목욕장업헬로우짐 연수점인천광역시 연수구 청능대로 93, 이리옴프라자 7층 702호 (청학동)032 -822 -3396
1920목욕장업스파렉스 대중사우나인천광역시 연수구 먼우금로 189, 소망글로벌 801호 (청학동)032- 816-7775
2021목욕장업송해온인천광역시 연수구 인천타워대로197번길 16, 지1층 B102호 (송도동)032- 831-5988
2122목욕장업세신샵 노블인천광역시 연수구 하모니로 158, 송도타임스페이스 B동 302호 (송도동)<NA>