Overview

Dataset statistics

Number of variables3
Number of observations59
Missing cells18
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory26.2 B

Variable types

Text3

Dataset

Description부산광역시_기장군_세탁업현황(20200320)
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072189

Alerts

소재지전화 has 18 (30.5%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:01:55.627877
Analysis finished2023-12-10 16:01:56.431084
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:01:56.706577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.8305085
Min length2

Characters and Unicode

Total characters344
Distinct characters128
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

Unique57 ?
Unique (%)96.6%

Sample

1st row제일세탁소
2nd row미견세탁소
3rd row영일세탁소
4th row원색세탁소
5th row로얄컴퓨터세탁소
ValueCountFrequency (%)
빨래지구대 2
 
3.1%
크리닝 1
 
1.6%
깔끔히세탁 1
 
1.6%
휴먼세탁 1
 
1.6%
캐스빌세탁소 1
 
1.6%
대수상사 1
 
1.6%
우창세탁 1
 
1.6%
원크린 1
 
1.6%
큐브 1
 
1.6%
월풀산업 1
 
1.6%
Other values (53) 53
82.8%
2023-12-11T01:01:57.385582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
8.7%
29
 
8.4%
17
 
4.9%
12
 
3.5%
8
 
2.3%
7
 
2.0%
7
 
2.0%
6
 
1.7%
6
 
1.7%
6
 
1.7%
Other values (118) 216
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
95.3%
Space Separator 5
 
1.5%
Uppercase Letter 4
 
1.2%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Decimal Number 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
9.1%
29
 
8.8%
17
 
5.2%
12
 
3.7%
8
 
2.4%
7
 
2.1%
7
 
2.1%
6
 
1.8%
6
 
1.8%
6
 
1.8%
Other values (108) 200
61.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
L 1
25.0%
H 1
25.0%
B 1
25.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
95.3%
Common 12
 
3.5%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
9.1%
29
 
8.8%
17
 
5.2%
12
 
3.7%
8
 
2.4%
7
 
2.1%
7
 
2.1%
6
 
1.8%
6
 
1.8%
6
 
1.8%
Other values (108) 200
61.0%
Common
ValueCountFrequency (%)
5
41.7%
( 2
 
16.7%
) 2
 
16.7%
3 1
 
8.3%
& 1
 
8.3%
2 1
 
8.3%
Latin
ValueCountFrequency (%)
C 1
25.0%
L 1
25.0%
H 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
95.3%
ASCII 16
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
9.1%
29
 
8.8%
17
 
5.2%
12
 
3.7%
8
 
2.4%
7
 
2.1%
7
 
2.1%
6
 
1.8%
6
 
1.8%
6
 
1.8%
Other values (108) 200
61.0%
ASCII
ValueCountFrequency (%)
5
31.2%
( 2
 
12.5%
) 2
 
12.5%
3 1
 
6.2%
C 1
 
6.2%
& 1
 
6.2%
L 1
 
6.2%
H 1
 
6.2%
B 1
 
6.2%
2 1
 
6.2%
Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:01:57.862430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length28.762712
Min length19

Characters and Unicode

Total characters1697
Distinct characters87
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

Unique57 ?
Unique (%)96.6%

Sample

1st row부산광역시 기장군 기장읍 차성남로89번길 18
2nd row부산광역시 기장군 장안읍 길천2길 39-1, 1층
3rd row부산광역시 기장군 정관읍 산단4로 160, 105호 (LH4단지상가동)
4th row부산광역시 기장군 장안읍 해맞이로 375, 1층
5th row부산광역시 기장군 기장읍 차성로326번길 11
ValueCountFrequency (%)
부산광역시 59
16.4%
기장군 59
16.4%
기장읍 44
 
12.2%
1층 22
 
6.1%
정관읍 11
 
3.1%
청강로 5
 
1.4%
정관로 4
 
1.1%
차성로 4
 
1.1%
2층 4
 
1.1%
장안읍 3
 
0.8%
Other values (113) 145
40.3%
2023-12-11T01:01:58.515073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
17.8%
111
 
6.5%
106
 
6.2%
1 74
 
4.4%
63
 
3.7%
60
 
3.5%
60
 
3.5%
60
 
3.5%
59
 
3.5%
59
 
3.5%
Other values (77) 743
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1032
60.8%
Space Separator 302
 
17.8%
Decimal Number 286
 
16.9%
Other Punctuation 34
 
2.0%
Open Punctuation 14
 
0.8%
Close Punctuation 14
 
0.8%
Dash Punctuation 9
 
0.5%
Uppercase Letter 5
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
10.8%
106
 
10.3%
63
 
6.1%
60
 
5.8%
60
 
5.8%
60
 
5.8%
59
 
5.7%
59
 
5.7%
59
 
5.7%
58
 
5.6%
Other values (57) 337
32.7%
Decimal Number
ValueCountFrequency (%)
1 74
25.9%
2 38
13.3%
3 38
13.3%
4 28
 
9.8%
5 23
 
8.0%
6 20
 
7.0%
0 18
 
6.3%
7 18
 
6.3%
8 16
 
5.6%
9 13
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
H 1
 
20.0%
L 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
@ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
302
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1032
60.8%
Common 659
38.8%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
10.8%
106
 
10.3%
63
 
6.1%
60
 
5.8%
60
 
5.8%
60
 
5.8%
59
 
5.7%
59
 
5.7%
59
 
5.7%
58
 
5.6%
Other values (57) 337
32.7%
Common
ValueCountFrequency (%)
302
45.8%
1 74
 
11.2%
2 38
 
5.8%
3 38
 
5.8%
, 33
 
5.0%
4 28
 
4.2%
5 23
 
3.5%
6 20
 
3.0%
0 18
 
2.7%
7 18
 
2.7%
Other values (6) 67
 
10.2%
Latin
ValueCountFrequency (%)
B 3
50.0%
c 1
 
16.7%
H 1
 
16.7%
L 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1032
60.8%
ASCII 665
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
45.4%
1 74
 
11.1%
2 38
 
5.7%
3 38
 
5.7%
, 33
 
5.0%
4 28
 
4.2%
5 23
 
3.5%
6 20
 
3.0%
0 18
 
2.7%
7 18
 
2.7%
Other values (10) 73
 
11.0%
Hangul
ValueCountFrequency (%)
111
 
10.8%
106
 
10.3%
63
 
6.1%
60
 
5.8%
60
 
5.8%
60
 
5.8%
59
 
5.7%
59
 
5.7%
59
 
5.7%
58
 
5.6%
Other values (57) 337
32.7%

소재지전화
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing18
Missing (%)30.5%
Memory size604.0 B
2023-12-11T01:01:58.807609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row051-721-6505
2nd row051-727-1724
3rd row051-728-3594
4th row051-727-1317
5th row051-721-4782
ValueCountFrequency (%)
051-721-8581 1
 
2.4%
051-728-7116 1
 
2.4%
051-727-2520 1
 
2.4%
051-781-6939 1
 
2.4%
051-728-8284 1
 
2.4%
051-728-8836 1
 
2.4%
051-723-5610 1
 
2.4%
051-728-8002 1
 
2.4%
051-722-0509 1
 
2.4%
051-723-1993 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T01:01:59.295701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.7%
1 74
15.0%
7 63
12.8%
5 61
12.4%
0 58
11.8%
2 58
11.8%
8 26
 
5.3%
4 22
 
4.5%
3 20
 
4.1%
6 15
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 74
18.0%
7 63
15.4%
5 61
14.9%
0 58
14.1%
2 58
14.1%
8 26
 
6.3%
4 22
 
5.4%
3 20
 
4.9%
6 15
 
3.7%
9 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.7%
1 74
15.0%
7 63
12.8%
5 61
12.4%
0 58
11.8%
2 58
11.8%
8 26
 
5.3%
4 22
 
4.5%
3 20
 
4.1%
6 15
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.7%
1 74
15.0%
7 63
12.8%
5 61
12.4%
0 58
11.8%
2 58
11.8%
8 26
 
5.3%
4 22
 
4.5%
3 20
 
4.1%
6 15
 
3.0%

Correlations

2023-12-11T01:01:59.417035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업소소재지(도로명)소재지전화
업소명1.0000.9971.000
업소소재지(도로명)0.9971.0001.000
소재지전화1.0001.0001.000

Missing values

2023-12-11T01:01:56.253136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:01:56.387738image/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

업소명업소소재지(도로명)소재지전화
0제일세탁소부산광역시 기장군 기장읍 차성남로89번길 18051-721-6505
1미견세탁소부산광역시 기장군 장안읍 길천2길 39-1, 1층051-727-1724
2영일세탁소부산광역시 기장군 정관읍 산단4로 160, 105호 (LH4단지상가동)051-728-3594
3원색세탁소부산광역시 기장군 장안읍 해맞이로 375, 1층051-727-1317
4로얄컴퓨터세탁소부산광역시 기장군 기장읍 차성로326번길 11051-721-4782
5현대세탁소부산광역시 기장군 기장읍 기장대로 563051-722-2392
6청강세탁소부산광역시 기장군 기장읍 청강로 13, 1층051-721-4233
7백광세탁소부산광역시 기장군 기장읍 차성로344번길 34051-721-6807
8한신그린상가세탁소부산광역시 기장군 기장읍 차성로344번길 13, 2층051-722-5541
9문화사부산광역시 기장군 기장읍 차성로417번길 21051-721-8581
업소명업소소재지(도로명)소재지전화
49다둥이세탁소부산광역시 기장군 정관읍 정관로 350, 322동 107호 (이지 더원 3차 아파트)051-727-8384
50기장지역자활센터 우리동네빨래방부산광역시 기장군 기장읍 차성동로 88-7, 1층051-724-3457
51빨래지구대부산광역시 기장군 정관읍 방곡로 29, 401상가동 106호 (이지더원5차)051-728-2112
52(주)해조산업부산광역시 기장군 기장읍 기장대로413번길 54, 1층<NA>
53하얀기쁨운동화세탁부산광역시 기장군 기장읍 차성로436번길 8, 교리종합시장 B동 106호<NA>
54깔끔한세탁부산광역시 기장군 기장읍 차성로436번길 8, 교리종합시장 c동 1층 108호051-724-5014
55은하크리닝부산광역시 기장군 장안읍 해맞이로 386, 1층051-727-4688
56비에이치엘앤시(BHL&C)부산광역시 기장군 기장읍 대청로35번길 5, 1층051-747-1116
57우리동네 신발이야기부산광역시 기장군 기장읍 대청로 24, 1층 (베로나아파트)<NA>
58지우개부산광역시 기장군 정관읍 모전1길 6-27, 1층051-728-7533