Overview

Dataset statistics

Number of variables5
Number of observations28
Missing cells4
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.7 B

Variable types

Categorical2
Text3

Dataset

Description인천광역시 서구에 등록된 목욕장업 현황(업종명, 업소명, 업소소재지, 소재지 전화번호, 데이터 기준일 등)입니다.
URLhttps://www.data.go.kr/data/15039939/fileData.do

Alerts

업종명 has constant value ""Constant
데이터 기준일 has constant value ""Constant
소재지전화 has 4 (14.3%) missing valuesMissing
업소명 has unique valuesUnique
업소 소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:33:05.331893
Analysis finished2023-12-12 20:33:05.644137
Duration0.31 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

2023-12-13T05:33:05.704549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:33:05.788565image/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
2023-12-13T05:33:05.963104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.4285714
Min length4

Characters and Unicode

Total characters180
Distinct characters78
Distinct categories4 ?
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 row한신목욕탕
2nd row프라자목욕탕
3rd row장하대중사우나
4th row무한목욕탕
5th row초원목욕탕
ValueCountFrequency (%)
한신목욕탕 1
 
3.2%
신현백두산사우나 1
 
3.2%
두산사우나 1
 
3.2%
청라해수탕 1
 
3.2%
춘천옥찜질방사우나 1
 
3.2%
토르말린저온찜질방(여성전용 1
 
3.2%
황토하우징 1
 
3.2%
신열 1
 
3.2%
주)헬로우짐 1
 
3.2%
스파렉스 1
 
3.2%
Other values (21) 21
67.7%
2023-12-13T05:33:06.276056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
우 15
 
8.3%
나 13
 
7.2%
사 13
 
7.2%
탕 7
 
3.9%
목 6
 
3.3%
욕 6
 
3.3%
수 4
 
2.2%
로 4
 
2.2%
아 4
 
2.2%
스 4
 
2.2%
Other values (68) 104
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
96.1%
Space Separator 3
 
1.7%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 15
 
8.7%
나 13
 
7.5%
사 13
 
7.5%
탕 7
 
4.0%
목 6
 
3.5%
욕 6
 
3.5%
수 4
 
2.3%
로 4
 
2.3%
아 4
 
2.3%
스 4
 
2.3%
Other values (65) 97
56.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
96.1%
Common 7
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 15
 
8.7%
나 13
 
7.5%
사 13
 
7.5%
탕 7
 
4.0%
목 6
 
3.5%
욕 6
 
3.5%
수 4
 
2.3%
로 4
 
2.3%
아 4
 
2.3%
스 4
 
2.3%
Other values (65) 97
56.1%
Common
ValueCountFrequency (%)
3
42.9%
) 2
28.6%
( 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
96.1%
ASCII 7
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
우 15
 
8.7%
나 13
 
7.5%
사 13
 
7.5%
탕 7
 
4.0%
목 6
 
3.5%
욕 6
 
3.5%
수 4
 
2.3%
로 4
 
2.3%
아 4
 
2.3%
스 4
 
2.3%
Other values (65) 97
56.1%
ASCII
ValueCountFrequency (%)
3
42.9%
) 2
28.6%
( 2
28.6%

업소 소재지
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T05:33:06.533803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length31.714286
Min length21

Characters and Unicode

Total characters888
Distinct characters114
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

Unique28 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 고래울로43번길 5 (가좌동)
2nd row인천광역시 서구 원적로96번길 26 (가좌동)
3rd row인천광역시 서구 원창로240번길 5-1 (가정동)
4th row인천광역시 서구 신석로 79 (석남동)
5th row인천광역시 서구 신진말로14번길 33 (가좌동)
ValueCountFrequency (%)
인천광역시 28
 
16.1%
서구 28
 
16.1%
가좌동 6
 
3.4%
석남동 5
 
2.9%
청라동 4
 
2.3%
마전동 4
 
2.3%
신현동 3
 
1.7%
검단로 3
 
1.7%
일부호 3
 
1.7%
3층 2
 
1.1%
Other values (85) 88
50.6%
2023-12-13T05:33:06.918183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
16.4%
1 35
 
3.9%
동 31
 
3.5%
로 30
 
3.4%
서 30
 
3.4%
천 29
 
3.3%
) 29
 
3.3%
( 29
 
3.3%
인 28
 
3.2%
역 28
 
3.2%
Other values (104) 473
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
57.4%
Space Separator 146
 
16.4%
Decimal Number 143
 
16.1%
Close Punctuation 29
 
3.3%
Open Punctuation 29
 
3.3%
Other Punctuation 24
 
2.7%
Dash Punctuation 4
 
0.5%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
6.1%
로 30
 
5.9%
서 30
 
5.9%
천 29
 
5.7%
인 28
 
5.5%
역 28
 
5.5%
구 28
 
5.5%
광 28
 
5.5%
시 28
 
5.5%
층 16
 
3.1%
Other values (86) 234
45.9%
Decimal Number
ValueCountFrequency (%)
1 35
24.5%
0 22
15.4%
2 19
13.3%
5 14
 
9.8%
3 12
 
8.4%
9 9
 
6.3%
6 8
 
5.6%
8 8
 
5.6%
4 8
 
5.6%
7 8
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
n 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
57.4%
Common 375
42.2%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
6.1%
로 30
 
5.9%
서 30
 
5.9%
천 29
 
5.7%
인 28
 
5.5%
역 28
 
5.5%
구 28
 
5.5%
광 28
 
5.5%
시 28
 
5.5%
층 16
 
3.1%
Other values (86) 234
45.9%
Common
ValueCountFrequency (%)
146
38.9%
1 35
 
9.3%
) 29
 
7.7%
( 29
 
7.7%
, 24
 
6.4%
0 22
 
5.9%
2 19
 
5.1%
5 14
 
3.7%
3 12
 
3.2%
9 9
 
2.4%
Other values (5) 36
 
9.6%
Latin
ValueCountFrequency (%)
k 1
33.3%
n 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
57.4%
ASCII 378
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
38.6%
1 35
 
9.3%
) 29
 
7.7%
( 29
 
7.7%
, 24
 
6.3%
0 22
 
5.8%
2 19
 
5.0%
5 14
 
3.7%
3 12
 
3.2%
9 9
 
2.4%
Other values (8) 39
 
10.3%
Hangul
ValueCountFrequency (%)
동 31
 
6.1%
로 30
 
5.9%
서 30
 
5.9%
천 29
 
5.7%
인 28
 
5.5%
역 28
 
5.5%
구 28
 
5.5%
광 28
 
5.5%
시 28
 
5.5%
층 16
 
3.1%
Other values (86) 234
45.9%

소재지전화
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing4
Missing (%)14.3%
Memory size356.0 B
2023-12-13T05:33:07.112029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row032-584-2893
2nd row032-576-6383
3rd row032-573-2210
4th row032-581-9361
5th row032-572-6633
ValueCountFrequency (%)
032-576-6383 1
 
4.2%
032-573-2210 1
 
4.2%
032-576-6705 1
 
4.2%
032-565-4170 1
 
4.2%
032-566-0012 1
 
4.2%
032-566-3055 1
 
4.2%
032-577-4321 1
 
4.2%
032-574-5551 1
 
4.2%
032-584-7754 1
 
4.2%
032-561-1319 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T05:33:07.424726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.7%
3 40
13.9%
0 39
13.5%
5 39
13.5%
2 33
11.5%
6 24
8.3%
7 22
7.6%
1 16
 
5.6%
8 10
 
3.5%
9 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 40
16.7%
0 39
16.2%
5 39
16.2%
2 33
13.8%
6 24
10.0%
7 22
9.2%
1 16
 
6.7%
8 10
 
4.2%
9 10
 
4.2%
4 7
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.7%
3 40
13.9%
0 39
13.5%
5 39
13.5%
2 33
11.5%
6 24
8.3%
7 22
7.6%
1 16
 
5.6%
8 10
 
3.5%
9 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.7%
3 40
13.9%
0 39
13.5%
5 39
13.5%
2 33
11.5%
6 24
8.3%
7 22
7.6%
1 16
 
5.6%
8 10
 
3.5%
9 10
 
3.5%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-03-30
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-30
2nd row2023-03-30
3rd row2023-03-30
4th row2023-03-30
5th row2023-03-30

Common Values

ValueCountFrequency (%)
2023-03-30 28
100.0%

Length

2023-12-13T05:33:07.561014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:33:07.666847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-30 28
100.0%

Correlations

2023-12-13T05:33:07.759631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업소 소재지소재지전화
업소명1.0001.0001.000
업소 소재지1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-13T05:33:05.522884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:33:05.608766image/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

업종명업소명업소 소재지소재지전화데이터 기준일
0목욕장업한신목욕탕인천광역시 서구 고래울로43번길 5 (가좌동)032-584-28932023-03-30
1목욕장업프라자목욕탕인천광역시 서구 원적로96번길 26 (가좌동)032-576-63832023-03-30
2목욕장업장하대중사우나인천광역시 서구 원창로240번길 5-1 (가정동)032-573-22102023-03-30
3목욕장업무한목욕탕인천광역시 서구 신석로 79 (석남동)032-581-93612023-03-30
4목욕장업초원목욕탕인천광역시 서구 신진말로14번길 33 (가좌동)032-572-66332023-03-30
5목욕장업이지 사우나인천광역시 서구 검단로 505 (마전동)032-568-01992023-03-30
6목욕장업불로사우나인천광역시 서구 검단로 842 (불로동, 월드아파트 중앙상가동지층25호,12-1호)032-562-04562023-03-30
7목욕장업해수워터피아인천광역시 서구 봉수대로 257 (가좌동)032-577-36002023-03-30
8목욕장업천지호사우나인천광역시 서구 검단로502번길 18 (마전동)032-561-09302023-03-30
9목욕장업아쿠아녹주불가마사우나인천광역시 서구 심곡로49번길 7, 지하1, 지상1층 (심곡동, 녹성아파트상가)032-561-05332023-03-30
업종명업소명업소 소재지소재지전화데이터 기준일
18목욕장업미주 여성사우나인천광역시 서구 건지로 375, 지하1층 (가좌동)032-574-55512023-03-30
19목욕장업청수사우나인천광역시 서구 서달로149번길 6-8, 5층6층 (석남동)032-577-43212023-03-30
20목욕장업스파렉스인천광역시 서구 청라커낼로260번길 15 (주)청라스파렉스 10층 (청라동)032-566-30552023-03-30
21목욕장업(주)헬로우짐인천광역시 서구 크리스탈로 100, 청라호수공원프라자 11층 1101,1102호 일부호 (청라동)032-566-00122023-03-30
22목욕장업신열 황토하우징인천광역시 서구 서곶로 870 (마전동, 한성빌딩, 2층 전체)032-565-41702023-03-30
23목욕장업토르말린저온찜질방(여성전용)인천광역시 서구 원창로 190, 3층 (신현동)032-576-67052023-03-30
24목욕장업춘천옥찜질방사우나인천광역시 서구 칠천왕로7번길 8, knp상상빌리지 지1층 (석남동)<NA>2023-03-30
25목욕장업청라해수탕인천광역시 서구 청라에메랄드로102번길 8-12, 301호, 401호 (청라동)<NA>2023-03-30
26목욕장업두산사우나인천광역시 서구 가정로 361, 두산빌딩 2,3층 (신현동)<NA>2023-03-30
27목욕장업스파다미르인천광역시 서구 청라루비로 93, 루비타워 209호 (청라동)<NA>2023-03-30