Overview

Dataset statistics

Number of variables5
Number of observations340
Missing cells45
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory40.4 B

Variable types

Categorical2
Text3

Dataset

Description제주특별자치도 제주시 관내 공중위생업 관련 세탁업 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056158/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 45 (13.2%) missing valuesMissing
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:48:53.516072
Analysis finished2023-12-12 14:48:54.053479
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
세탁업
340 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세탁업
2nd row세탁업
3rd row세탁업
4th row세탁업
5th row세탁업

Common Values

ValueCountFrequency (%)
세탁업 340
100.0%

Length

2023-12-12T23:48:54.129247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:48:54.245907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세탁업 340
100.0%

업소명
Text

Distinct337
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T23:48:54.540531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length4.2558824
Min length1

Characters and Unicode

Total characters1447
Distinct characters270
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)98.2%

Sample

1st row클린플러스운동화엔빨래방
2nd row탐라세탁
3rd row조양산업
4th row오케이운동화빨래방
5th row모드세탁
ValueCountFrequency (%)
주식회사 3
 
0.8%
백양사 2
 
0.6%
천광사 2
 
0.6%
미광세탁소 2
 
0.6%
삼양 2
 
0.6%
수 2
 
0.6%
크린에이드 2
 
0.6%
청신패밀리 1
 
0.3%
느낌표 1
 
0.3%
대호 1
 
0.3%
Other values (337) 337
94.9%
2023-12-12T23:48:55.087635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 62
 
4.3%
세 53
 
3.7%
탁 50
 
3.5%
이 44
 
3.0%
화 42
 
2.9%
동 36
 
2.5%
리 35
 
2.4%
운 28
 
1.9%
크 25
 
1.7%
래 25
 
1.7%
Other values (260) 1047
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1412
97.6%
Space Separator 15
 
1.0%
Close Punctuation 8
 
0.6%
Open Punctuation 7
 
0.5%
Decimal Number 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 62
 
4.4%
세 53
 
3.8%
탁 50
 
3.5%
이 44
 
3.1%
화 42
 
3.0%
동 36
 
2.5%
리 35
 
2.5%
운 28
 
2.0%
크 25
 
1.8%
래 25
 
1.8%
Other values (253) 1012
71.7%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
2 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1412
97.6%
Common 34
 
2.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 62
 
4.4%
세 53
 
3.8%
탁 50
 
3.5%
이 44
 
3.1%
화 42
 
3.0%
동 36
 
2.5%
리 35
 
2.5%
운 28
 
2.0%
크 25
 
1.8%
래 25
 
1.8%
Other values (253) 1012
71.7%
Common
ValueCountFrequency (%)
15
44.1%
) 8
23.5%
( 7
20.6%
0 2
 
5.9%
2 1
 
2.9%
7 1
 
2.9%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1412
97.6%
ASCII 35
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 62
 
4.4%
세 53
 
3.8%
탁 50
 
3.5%
이 44
 
3.1%
화 42
 
3.0%
동 36
 
2.5%
리 35
 
2.5%
운 28
 
2.0%
크 25
 
1.8%
래 25
 
1.8%
Other values (253) 1012
71.7%
ASCII
ValueCountFrequency (%)
15
42.9%
) 8
22.9%
( 7
20.0%
0 2
 
5.7%
2 1
 
2.9%
S 1
 
2.9%
7 1
 
2.9%

주소
Text

UNIQUE 

Distinct340
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T23:48:55.625524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.385294
Min length17

Characters and Unicode

Total characters6931
Distinct characters137
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

Unique340 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 신설로9길 26-17
2nd row제주특별자치도 제주시 신설로11길 11
3rd row제주특별자치도 제주시 화남로 48
4th row제주특별자치도 제주시 사장2길 33
5th row제주특별자치도 제주시 서광로26길 16
ValueCountFrequency (%)
제주특별자치도 340
24.2%
제주시 340
24.2%
애월읍 21
 
1.5%
11 12
 
0.9%
20 10
 
0.7%
한림읍 9
 
0.6%
4 9
 
0.6%
8 8
 
0.6%
21 8
 
0.6%
12 8
 
0.6%
Other values (420) 640
45.6%
2023-12-12T23:48:56.514899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1068
15.4%
주 687
 
9.9%
제 681
 
9.8%
도 352
 
5.1%
특 340
 
4.9%
별 340
 
4.9%
자 340
 
4.9%
치 340
 
4.9%
시 340
 
4.9%
1 263
 
3.8%
Other values (127) 2180
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4748
68.5%
Space Separator 1068
 
15.4%
Decimal Number 1042
 
15.0%
Dash Punctuation 73
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 687
14.5%
제 681
14.3%
도 352
7.4%
특 340
 
7.2%
별 340
 
7.2%
자 340
 
7.2%
치 340
 
7.2%
시 340
 
7.2%
길 240
 
5.1%
로 225
 
4.7%
Other values (115) 863
18.2%
Decimal Number
ValueCountFrequency (%)
1 263
25.2%
2 171
16.4%
3 130
12.5%
4 95
 
9.1%
6 74
 
7.1%
5 72
 
6.9%
7 63
 
6.0%
8 61
 
5.9%
9 58
 
5.6%
0 55
 
5.3%
Space Separator
ValueCountFrequency (%)
1068
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4748
68.5%
Common 2183
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 687
14.5%
제 681
14.3%
도 352
7.4%
특 340
 
7.2%
별 340
 
7.2%
자 340
 
7.2%
치 340
 
7.2%
시 340
 
7.2%
길 240
 
5.1%
로 225
 
4.7%
Other values (115) 863
18.2%
Common
ValueCountFrequency (%)
1068
48.9%
1 263
 
12.0%
2 171
 
7.8%
3 130
 
6.0%
4 95
 
4.4%
6 74
 
3.4%
- 73
 
3.3%
5 72
 
3.3%
7 63
 
2.9%
8 61
 
2.8%
Other values (2) 113
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4748
68.5%
ASCII 2183
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1068
48.9%
1 263
 
12.0%
2 171
 
7.8%
3 130
 
6.0%
4 95
 
4.4%
6 74
 
3.4%
- 73
 
3.3%
5 72
 
3.3%
7 63
 
2.9%
8 61
 
2.8%
Other values (2) 113
 
5.2%
Hangul
ValueCountFrequency (%)
주 687
14.5%
제 681
14.3%
도 352
7.4%
특 340
 
7.2%
별 340
 
7.2%
자 340
 
7.2%
치 340
 
7.2%
시 340
 
7.2%
길 240
 
5.1%
로 225
 
4.7%
Other values (115) 863
18.2%

전화번호
Text

MISSING 

Distinct294
Distinct (%)99.7%
Missing45
Missing (%)13.2%
Memory size2.8 KiB
2023-12-12T23:48:56.751875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.99661
Min length11

Characters and Unicode

Total characters3539
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

Unique293 ?
Unique (%)99.3%

Sample

1st row064-702-8284
2nd row064-726-4010
3rd row064-732-1500
4th row064-743-4416
5th row064-751-0095
ValueCountFrequency (%)
064-722-2957 2
 
0.7%
064-752-6510 1
 
0.3%
064-753-4431 1
 
0.3%
064-753-4342 1
 
0.3%
064-753-3767 1
 
0.3%
064-753-3589 1
 
0.3%
064-753-3283 1
 
0.3%
064-753-2874 1
 
0.3%
064-753-1990 1
 
0.3%
064-753-1931 1
 
0.3%
Other values (284) 284
96.3%
2023-12-12T23:48:57.089151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 590
16.7%
4 508
14.4%
7 451
12.7%
0 437
12.3%
6 428
12.1%
2 244
6.9%
5 238
6.7%
1 200
 
5.7%
3 183
 
5.2%
8 153
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2949
83.3%
Dash Punctuation 590
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 508
17.2%
7 451
15.3%
0 437
14.8%
6 428
14.5%
2 244
8.3%
5 238
8.1%
1 200
 
6.8%
3 183
 
6.2%
8 153
 
5.2%
9 107
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3539
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 590
16.7%
4 508
14.4%
7 451
12.7%
0 437
12.3%
6 428
12.1%
2 244
6.9%
5 238
6.7%
1 200
 
5.7%
3 183
 
5.2%
8 153
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 590
16.7%
4 508
14.4%
7 451
12.7%
0 437
12.3%
6 428
12.1%
2 244
6.9%
5 238
6.7%
1 200
 
5.7%
3 183
 
5.2%
8 153
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2021-02-15
340 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-15
2nd row2021-02-15
3rd row2021-02-15
4th row2021-02-15
5th row2021-02-15

Common Values

ValueCountFrequency (%)
2021-02-15 340
100.0%

Length

2023-12-12T23:48:57.235660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:48:57.342545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-15 340
100.0%

Missing values

2023-12-12T23:48:53.883992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:48:53.996441image/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

업종명업소명주소전화번호데이터기준일자
0세탁업클린플러스운동화엔빨래방제주특별자치도 제주시 신설로9길 26-17064-702-82842021-02-15
1세탁업탐라세탁제주특별자치도 제주시 신설로11길 11064-726-40102021-02-15
2세탁업조양산업제주특별자치도 제주시 화남로 48064-732-15002021-02-15
3세탁업오케이운동화빨래방제주특별자치도 제주시 사장2길 33064-743-44162021-02-15
4세탁업모드세탁제주특별자치도 제주시 서광로26길 16064-751-00952021-02-15
5세탁업나이스제주특별자치도 제주시 신설로9길 28-1064-722-53152021-02-15
6세탁업아라크리닝사제주특별자치도 제주시 인다12길 2 207호064-702-25772021-02-15
7세탁업화북운동화빨래방제주특별자치도 제주시 진동로3길 24064-702-62822021-02-15
8세탁업춘강장애인근로센터제주특별자치도 제주시 516로 3120-1064-702-78512021-02-15
9세탁업원앙제주특별자치도 제주시 과원로 11064-711-16612021-02-15
업종명업소명주소전화번호데이터기준일자
330세탁업마마운동화이불빨래방외도점제주특별자치도 제주시 조공포길 46<NA>2021-02-15
331세탁업마마운동화이불빨래방노형점제주특별자치도 제주시 다랑곶6길 34<NA>2021-02-15
332세탁업운동화빨기좋은날제주특별자치도 제주시 동광로15길 3<NA>2021-02-15
333세탁업우리들세탁소제주특별자치도 제주시 아란9길 33<NA>2021-02-15
334세탁업크린에이드뜨란채점제주특별자치도 제주시 수덕7길 40<NA>2021-02-15
335세탁업하이워시제주제주특별자치도 제주시 애월읍 애월해안로 863<NA>2021-02-15
336세탁업제이리폼세탁제주특별자치도 제주시 인다11길 13<NA>2021-02-15
337세탁업제주크린제주특별자치도 제주시 한경면 중산간서로 3350<NA>2021-02-15
338세탁업서윤현대세탁소제주특별자치도 제주시 한림읍 한림중앙로 16<NA>2021-02-15
339세탁업마마운동화이불빨래방일도점제주특별자치도 제주시 신산로 3<NA>2021-02-15