Overview

Dataset statistics

Number of variables7
Number of observations88
Missing cells5
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory57.5 B

Variable types

Text4
DateTime2
Categorical1

Dataset

Description울산광역시 중구에 소재한 세탁소 현황에 대한 데이터로 업소명, 신고일자, 업소소재지, 전화번호 등의 정보를 제공합니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15055271/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 5 (5.7%) missing valuesMissing
영업소 주소(도로명) has unique valuesUnique
영업소 주소(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:56:41.220411
Analysis finished2023-12-12 13:56:41.865327
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct83
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T22:56:42.082570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3181818
Min length3

Characters and Unicode

Total characters468
Distinct characters114
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

Unique78 ?
Unique (%)88.6%

Sample

1st row태화사
2nd row평화사
3rd row마제스세탁
4th row황금사
5th row한라세탁소
ValueCountFrequency (%)
그린세탁 2
 
2.2%
세탁백화점 2
 
2.2%
태양세탁소 2
 
2.2%
동원세탁소 2
 
2.2%
동광세탁 2
 
2.2%
레미안세탁 1
 
1.1%
백양특수세탁소 1
 
1.1%
해성사세탁소 1
 
1.1%
현대세탁 1
 
1.1%
태화세탁 1
 
1.1%
Other values (74) 74
83.1%
2023-12-12T22:56:42.517630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 73
 
15.6%
탁 72
 
15.4%
소 31
 
6.6%
크 12
 
2.6%
대 10
 
2.1%
리 10
 
2.1%
동 9
 
1.9%
화 9
 
1.9%
특 9
 
1.9%
수 9
 
1.9%
Other values (104) 224
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
99.4%
Space Separator 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 73
 
15.7%
탁 72
 
15.5%
소 31
 
6.7%
크 12
 
2.6%
대 10
 
2.2%
리 10
 
2.2%
동 9
 
1.9%
화 9
 
1.9%
특 9
 
1.9%
수 9
 
1.9%
Other values (101) 221
47.5%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
99.4%
Common 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 73
 
15.7%
탁 72
 
15.5%
소 31
 
6.7%
크 12
 
2.6%
대 10
 
2.2%
리 10
 
2.2%
동 9
 
1.9%
화 9
 
1.9%
특 9
 
1.9%
수 9
 
1.9%
Other values (101) 221
47.5%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
99.4%
ASCII 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 73
 
15.7%
탁 72
 
15.5%
소 31
 
6.7%
크 12
 
2.6%
대 10
 
2.2%
리 10
 
2.2%
동 9
 
1.9%
화 9
 
1.9%
특 9
 
1.9%
수 9
 
1.9%
Other values (101) 221
47.5%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

신고일자
Date

Distinct70
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum1987-04-20 00:00:00
Maximum2021-01-28 00:00:00
2023-12-12T22:56:42.671048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:42.798736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
세탁업
88 

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 88
100.0%

Length

2023-12-12T22:56:42.905016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:56:42.986852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세탁업 88
100.0%

영업소 주소(도로명)
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T22:56:43.192142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length27.090909
Min length20

Characters and Unicode

Total characters2384
Distinct characters131
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

Unique88 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 옥골샘5길 12 (옥교동)
2nd row울산광역시 중구 우정7길 45 (우정동)
3rd row울산광역시 중구 학성로 1, 105동 2층 206호 (우정동, 마제스타워울산)
4th row울산광역시 중구 당산5길 38 (우정동)
5th row울산광역시 중구 반구정9길 23, 106호 (반구동)
ValueCountFrequency (%)
울산광역시 88
 
17.3%
중구 88
 
17.3%
1층 25
 
4.9%
반구동 16
 
3.1%
우정동 10
 
2.0%
태화동 8
 
1.6%
성안동 8
 
1.6%
남외동 7
 
1.4%
학성동 7
 
1.4%
복산동 5
 
1.0%
Other values (187) 246
48.4%
2023-12-12T22:56:43.871864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
 
17.6%
1 127
 
5.3%
구 117
 
4.9%
동 109
 
4.6%
산 100
 
4.2%
) 90
 
3.8%
시 90
 
3.8%
( 90
 
3.8%
울 89
 
3.7%
중 88
 
3.7%
Other values (121) 1064
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1347
56.5%
Space Separator 420
 
17.6%
Decimal Number 373
 
15.6%
Close Punctuation 90
 
3.8%
Open Punctuation 90
 
3.8%
Other Punctuation 54
 
2.3%
Dash Punctuation 9
 
0.4%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 117
 
8.7%
동 109
 
8.1%
산 100
 
7.4%
시 90
 
6.7%
울 89
 
6.6%
중 88
 
6.5%
역 88
 
6.5%
광 88
 
6.5%
길 69
 
5.1%
층 33
 
2.4%
Other values (105) 476
35.3%
Decimal Number
ValueCountFrequency (%)
1 127
34.0%
2 49
 
13.1%
3 40
 
10.7%
0 37
 
9.9%
4 30
 
8.0%
5 25
 
6.7%
6 20
 
5.4%
8 18
 
4.8%
7 15
 
4.0%
9 12
 
3.2%
Space Separator
ValueCountFrequency (%)
420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1347
56.5%
Common 1036
43.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 117
 
8.7%
동 109
 
8.1%
산 100
 
7.4%
시 90
 
6.7%
울 89
 
6.6%
중 88
 
6.5%
역 88
 
6.5%
광 88
 
6.5%
길 69
 
5.1%
층 33
 
2.4%
Other values (105) 476
35.3%
Common
ValueCountFrequency (%)
420
40.5%
1 127
 
12.3%
) 90
 
8.7%
( 90
 
8.7%
, 54
 
5.2%
2 49
 
4.7%
3 40
 
3.9%
0 37
 
3.6%
4 30
 
2.9%
5 25
 
2.4%
Other values (5) 74
 
7.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1347
56.5%
ASCII 1037
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
40.5%
1 127
 
12.2%
) 90
 
8.7%
( 90
 
8.7%
, 54
 
5.2%
2 49
 
4.7%
3 40
 
3.9%
0 37
 
3.6%
4 30
 
2.9%
5 25
 
2.4%
Other values (6) 75
 
7.2%
Hangul
ValueCountFrequency (%)
구 117
 
8.7%
동 109
 
8.1%
산 100
 
7.4%
시 90
 
6.7%
울 89
 
6.6%
중 88
 
6.5%
역 88
 
6.5%
광 88
 
6.5%
길 69
 
5.1%
층 33
 
2.4%
Other values (105) 476
35.3%

영업소 주소(지번)
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-12T22:56:44.287953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.659091
Min length16

Characters and Unicode

Total characters1906
Distinct characters99
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

Unique88 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 옥교동 140
2nd row울산광역시 중구 우정동 436-36
3rd row울산광역시 중구 우정동 172 마제스타워울산 105동 206호
4th row울산광역시 중구 우정동 225-7
5th row울산광역시 중구 반구동 290-13
ValueCountFrequency (%)
울산광역시 88
22.3%
중구 88
22.3%
반구동 17
 
4.3%
우정동 10
 
2.5%
태화동 9
 
2.3%
1층 8
 
2.0%
성안동 8
 
2.0%
남외동 7
 
1.8%
학성동 7
 
1.8%
복산동 6
 
1.5%
Other values (128) 146
37.1%
2023-12-12T22:56:44.842383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
20.3%
구 106
 
5.6%
산 97
 
5.1%
동 97
 
5.1%
울 90
 
4.7%
시 90
 
4.7%
1 89
 
4.7%
광 88
 
4.6%
역 88
 
4.6%
중 88
 
4.6%
Other values (89) 686
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1016
53.3%
Decimal Number 417
21.9%
Space Separator 387
 
20.3%
Dash Punctuation 74
 
3.9%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 106
10.4%
산 97
9.5%
동 97
9.5%
울 90
 
8.9%
시 90
 
8.9%
광 88
 
8.7%
역 88
 
8.7%
중 88
 
8.7%
성 18
 
1.8%
반 17
 
1.7%
Other values (72) 237
23.3%
Decimal Number
ValueCountFrequency (%)
1 89
21.3%
2 55
13.2%
3 42
10.1%
5 41
9.8%
0 39
9.4%
7 37
8.9%
8 34
 
8.2%
4 32
 
7.7%
6 26
 
6.2%
9 22
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1016
53.3%
Common 888
46.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 106
10.4%
산 97
9.5%
동 97
9.5%
울 90
 
8.9%
시 90
 
8.9%
광 88
 
8.7%
역 88
 
8.7%
중 88
 
8.7%
성 18
 
1.8%
반 17
 
1.7%
Other values (72) 237
23.3%
Common
ValueCountFrequency (%)
387
43.6%
1 89
 
10.0%
- 74
 
8.3%
2 55
 
6.2%
3 42
 
4.7%
5 41
 
4.6%
0 39
 
4.4%
7 37
 
4.2%
8 34
 
3.8%
4 32
 
3.6%
Other values (6) 58
 
6.5%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1016
53.3%
ASCII 890
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
43.5%
1 89
 
10.0%
- 74
 
8.3%
2 55
 
6.2%
3 42
 
4.7%
5 41
 
4.6%
0 39
 
4.4%
7 37
 
4.2%
8 34
 
3.8%
4 32
 
3.6%
Other values (7) 60
 
6.7%
Hangul
ValueCountFrequency (%)
구 106
10.4%
산 97
9.5%
동 97
9.5%
울 90
 
8.9%
시 90
 
8.9%
광 88
 
8.7%
역 88
 
8.7%
중 88
 
8.7%
성 18
 
1.8%
반 17
 
1.7%
Other values (72) 237
23.3%

소재지전화
Text

MISSING 

Distinct83
Distinct (%)100.0%
Missing5
Missing (%)5.7%
Memory size836.0 B
2023-12-12T22:56:45.112912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.325301
Min length12

Characters and Unicode

Total characters1023
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

Unique83 ?
Unique (%)100.0%

Sample

1st row052-211-3554
2nd row052-0244-6200
3rd row052-0243-8546
4th row052-0244-3217
5th row052-245-8159
ValueCountFrequency (%)
052-291-3288 1
 
1.2%
052-224-2000 1
 
1.2%
052-293-1030 1
 
1.2%
052-281-1411 1
 
1.2%
052-296-8828 1
 
1.2%
052-277-8792 1
 
1.2%
052-249-7555 1
 
1.2%
052-296-6711 1
 
1.2%
052-293-6339 1
 
1.2%
052-291-3989 1
 
1.2%
Other values (73) 73
88.0%
2023-12-12T22:56:45.533658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 213
20.8%
- 166
16.2%
0 153
15.0%
5 128
12.5%
4 83
 
8.1%
9 57
 
5.6%
7 55
 
5.4%
1 49
 
4.8%
8 44
 
4.3%
3 40
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 857
83.8%
Dash Punctuation 166
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 213
24.9%
0 153
17.9%
5 128
14.9%
4 83
 
9.7%
9 57
 
6.7%
7 55
 
6.4%
1 49
 
5.7%
8 44
 
5.1%
3 40
 
4.7%
6 35
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 213
20.8%
- 166
16.2%
0 153
15.0%
5 128
12.5%
4 83
 
8.1%
9 57
 
5.6%
7 55
 
5.4%
1 49
 
4.8%
8 44
 
4.3%
3 40
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 213
20.8%
- 166
16.2%
0 153
15.0%
5 128
12.5%
4 83
 
8.1%
9 57
 
5.6%
7 55
 
5.4%
1 49
 
4.8%
8 44
 
4.3%
3 40
 
3.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2023-09-19 00:00:00
Maximum2023-09-19 00:00:00
2023-12-12T22:56:45.664024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:45.779691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T22:56:45.859883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명신고일자영업소 주소(도로명)영업소 주소(지번)소재지전화
업소명1.0000.0001.0001.0001.000
신고일자0.0001.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.0001.000
영업소 주소(지번)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2023-12-12T22:56:41.705073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:56:41.817673image/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

업소명신고일자업종명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
0태화사1987-04-20세탁업울산광역시 중구 옥골샘5길 12 (옥교동)울산광역시 중구 옥교동 140052-211-35542023-09-19
1평화사1987-04-20세탁업울산광역시 중구 우정7길 45 (우정동)울산광역시 중구 우정동 436-36052-0244-62002023-09-19
2마제스세탁1987-04-20세탁업울산광역시 중구 학성로 1, 105동 2층 206호 (우정동, 마제스타워울산)울산광역시 중구 우정동 172 마제스타워울산 105동 206호052-0243-85462023-09-19
3황금사1987-04-20세탁업울산광역시 중구 당산5길 38 (우정동)울산광역시 중구 우정동 225-7052-0244-32172023-09-19
4한라세탁소1987-04-20세탁업울산광역시 중구 반구정9길 23, 106호 (반구동)울산광역시 중구 반구동 290-13052-245-81592023-09-19
5현미사1987-04-20세탁업울산광역시 중구 학성공원13길 3 (학성동)울산광역시 중구 학성동 197-15052-296-79582023-09-19
6크린뱅크세탁1987-04-20세탁업울산광역시 중구 학성1길 46-1 (학성동)울산광역시 중구 학성동 377-7052-286-22662023-09-19
7경북세탁1987-04-20세탁업울산광역시 중구 학성1길 38 (학성동)울산광역시 중구 학성동 432-44052-296-79442023-09-19
8대왕세탁1987-04-20세탁업울산광역시 중구 북정동길 1 (북정동)울산광역시 중구 북정동 50-4052-244-40582023-09-19
9미림세탁소1987-04-20세탁업울산광역시 중구 반구정2길 35 (반구동)울산광역시 중구 반구동 581-7052-294-88802023-09-19
업소명신고일자업종명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
78이고은크리닝샾2015-02-13세탁업울산광역시 중구 함월1길 168, 1층 (성안동)울산광역시 중구 성안동 857-5052-245-97002023-09-19
79그랜드세탁2015-04-27세탁업울산광역시 중구 서원1길 33, 1층 (반구동)울산광역시 중구 반구동 98-1 1층052-298-65822023-09-19
80세탁백화점2017-02-27세탁업울산광역시 중구 화합로 391, 1층 (반구동)울산광역시 중구 반구동 103-21<NA>2023-09-19
81빨래지구대2017-04-26세탁업울산광역시 중구 성안로 177-1, 1층 (성안동)울산광역시 중구 성안동 392-8<NA>2023-09-19
82지베세탁2017-08-07세탁업울산광역시 중구 함월로 46, 103동 지하1층 B101호 (성안동, 대협팔래스)울산광역시 중구 성안동 792-3 대협팔래스 103동 B101호052-245-46412023-09-19
83동원세탁소2017-08-25세탁업울산광역시 중구 종가4길 10, 상가219동 지하2층 106호 (유곡동, 우정혁신도시2차동원로얄듀크)울산광역시 중구 유곡동 215052-248-01112023-09-19
84마마운동화이불빨래방2018-09-19세탁업울산광역시 중구 함월21길 16, 1층 (성안동)울산광역시 중구 성안동 387-2052-245-82842023-09-19
85오아시스크리닝2019-02-20세탁업울산광역시 중구 동천1길 31, 1층 103호 (서동, 서동현대아파트)울산광역시 중구 서동 34-2 서동현대아파트052-292-34492023-09-19
86유명세탁소2020-04-06세탁업울산광역시 중구 구루미7길 55, 1층 (다운동)울산광역시 중구 다운동 570-12<NA>2023-09-19
87(주)우리아이2021-01-28세탁업울산광역시 중구 내황3길 13, 1층 (반구동)울산광역시 중구 반구동 776-15052-713-80082023-09-19