Overview

Dataset statistics

Number of variables7
Number of observations69
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory58.9 B

Variable types

Numeric1
Categorical1
DateTime2
Text3

Dataset

Description경상남도 거제시 세탁업소현황(업소명, 주소, 좌표, 전화번호, 영업시작일자, 기준일자)등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3079219/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
영업소 주소(지번) has 1 (1.4%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:07:35.082170
Analysis finished2023-12-12 17:07:35.905010
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-13T02:07:35.981283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2023-12-13T02:07:36.127840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
세탁업
69 

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 69
100.0%

Length

2023-12-13T02:07:36.260371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:07:36.353154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세탁업 69
100.0%

신고일자
Date

Distinct64
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1987-05-11 00:00:00
Maximum2023-04-10 00:00:00
2023-12-13T02:07:36.464018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:07:36.621021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T02:07:36.900336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length6.1449275
Min length3

Characters and Unicode

Total characters424
Distinct characters134
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

Unique69 ?
Unique (%)100.0%

Sample

1st row부산세탁소
2nd row태양세탁소
3rd row거제컴퓨터세탁
4th row백광컴퓨터크리닝
5th row흑백세탁
ValueCountFrequency (%)
슈즈크린 3
 
3.8%
부산세탁소 1
 
1.3%
숲속그린세탁소 1
 
1.3%
스팀운동화빨래방 1
 
1.3%
이다기업 1
 
1.3%
우리크리닝 1
 
1.3%
착한세탁소 1
 
1.3%
거제지사 1
 
1.3%
월드크리닝 1
 
1.3%
소라세탁소 1
 
1.3%
Other values (67) 67
84.8%
2023-12-13T02:07:37.329401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 43
 
10.1%
탁 43
 
10.1%
소 29
 
6.8%
크 14
 
3.3%
리 12
 
2.8%
10
 
2.4%
동 10
 
2.4%
닝 10
 
2.4%
화 7
 
1.7%
이 6
 
1.4%
Other values (124) 240
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
95.5%
Space Separator 10
 
2.4%
Close Punctuation 3
 
0.7%
Open Punctuation 3
 
0.7%
Lowercase Letter 2
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 43
 
10.6%
탁 43
 
10.6%
소 29
 
7.2%
크 14
 
3.5%
리 12
 
3.0%
동 10
 
2.5%
닝 10
 
2.5%
화 7
 
1.7%
이 6
 
1.5%
점 6
 
1.5%
Other values (118) 225
55.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
95.5%
Common 16
 
3.8%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 43
 
10.6%
탁 43
 
10.6%
소 29
 
7.2%
크 14
 
3.5%
리 12
 
3.0%
동 10
 
2.5%
닝 10
 
2.5%
화 7
 
1.7%
이 6
 
1.5%
점 6
 
1.5%
Other values (118) 225
55.6%
Common
ValueCountFrequency (%)
10
62.5%
) 3
 
18.8%
( 3
 
18.8%
Latin
ValueCountFrequency (%)
e 1
33.3%
h 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
95.5%
ASCII 19
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 43
 
10.6%
탁 43
 
10.6%
소 29
 
7.2%
크 14
 
3.5%
리 12
 
3.0%
동 10
 
2.5%
닝 10
 
2.5%
화 7
 
1.7%
이 6
 
1.5%
점 6
 
1.5%
Other values (118) 225
55.6%
ASCII
ValueCountFrequency (%)
10
52.6%
) 3
 
15.8%
( 3
 
15.8%
e 1
 
5.3%
h 1
 
5.3%
T 1
 
5.3%

영업소 주소(도로명)
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T02:07:37.625106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length27.681159
Min length19

Characters and Unicode

Total characters1910
Distinct characters124
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

Unique67 ?
Unique (%)97.1%

Sample

1st row경상남도 거제시 일운면 지세포로 101
2nd row경상남도 거제시 거제면 읍내로2길 33
3rd row경상남도 거제시 거제면 읍내로2길 29
4th row경상남도 거제시 장승포로1길 37 (장승포동)
5th row경상남도 거제시 장승로 50 (장승포동)
ValueCountFrequency (%)
경상남도 69
 
16.9%
거제시 69
 
16.9%
1층 27
 
6.6%
고현동 14
 
3.4%
옥포동 8
 
2.0%
6 6
 
1.5%
상동동 5
 
1.2%
아주동 5
 
1.2%
연초면 4
 
1.0%
능포동 4
 
1.0%
Other values (159) 198
48.4%
2023-12-13T02:07:38.079120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
 
17.8%
1 89
 
4.7%
제 85
 
4.5%
거 82
 
4.3%
동 82
 
4.3%
상 80
 
4.2%
남 70
 
3.7%
경 69
 
3.6%
도 69
 
3.6%
시 69
 
3.6%
Other values (114) 875
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1098
57.5%
Space Separator 340
 
17.8%
Decimal Number 287
 
15.0%
Open Punctuation 64
 
3.4%
Close Punctuation 64
 
3.4%
Other Punctuation 43
 
2.3%
Dash Punctuation 13
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 85
 
7.7%
거 82
 
7.5%
동 82
 
7.5%
상 80
 
7.3%
남 70
 
6.4%
경 69
 
6.3%
도 69
 
6.3%
시 69
 
6.3%
로 56
 
5.1%
길 41
 
3.7%
Other values (98) 395
36.0%
Decimal Number
ValueCountFrequency (%)
1 89
31.0%
2 35
 
12.2%
3 33
 
11.5%
5 27
 
9.4%
0 26
 
9.1%
4 20
 
7.0%
9 16
 
5.6%
6 15
 
5.2%
7 14
 
4.9%
8 12
 
4.2%
Space Separator
ValueCountFrequency (%)
340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1098
57.5%
Common 811
42.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 85
 
7.7%
거 82
 
7.5%
동 82
 
7.5%
상 80
 
7.3%
남 70
 
6.4%
경 69
 
6.3%
도 69
 
6.3%
시 69
 
6.3%
로 56
 
5.1%
길 41
 
3.7%
Other values (98) 395
36.0%
Common
ValueCountFrequency (%)
340
41.9%
1 89
 
11.0%
( 64
 
7.9%
) 64
 
7.9%
, 43
 
5.3%
2 35
 
4.3%
3 33
 
4.1%
5 27
 
3.3%
0 26
 
3.2%
4 20
 
2.5%
Other values (5) 70
 
8.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1098
57.5%
ASCII 812
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
41.9%
1 89
 
11.0%
( 64
 
7.9%
) 64
 
7.9%
, 43
 
5.3%
2 35
 
4.3%
3 33
 
4.1%
5 27
 
3.3%
0 26
 
3.2%
4 20
 
2.5%
Other values (6) 71
 
8.7%
Hangul
ValueCountFrequency (%)
제 85
 
7.7%
거 82
 
7.5%
동 82
 
7.5%
상 80
 
7.3%
남 70
 
6.4%
경 69
 
6.3%
도 69
 
6.3%
시 69
 
6.3%
로 56
 
5.1%
길 41
 
3.7%
Other values (98) 395
36.0%

영업소 주소(지번)
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size684.0 B
2023-12-13T02:07:38.448426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length22.279412
Min length15

Characters and Unicode

Total characters1515
Distinct characters92
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 일운면 지세포리 927-6
2nd row경상남도 거제시 거제면 동상리 423-4
3rd row경상남도 거제시 거제면 동상리 417-1
4th row경상남도 거제시 장승포동 455-14
5th row경상남도 거제시 장승포동 596-2
ValueCountFrequency (%)
경상남도 68
21.4%
거제시 68
21.4%
고현동 15
 
4.7%
옥포동 11
 
3.5%
1층 8
 
2.5%
아주동 6
 
1.9%
상동동 5
 
1.6%
양정동 5
 
1.6%
연초면 4
 
1.3%
장평동 4
 
1.3%
Other values (109) 124
39.0%
2023-12-13T02:07:38.893292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
20.6%
1 80
 
5.3%
상 78
 
5.1%
제 74
 
4.9%
거 73
 
4.8%
동 70
 
4.6%
경 68
 
4.5%
남 68
 
4.5%
도 68
 
4.5%
시 68
 
4.5%
Other values (82) 556
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 814
53.7%
Decimal Number 329
21.7%
Space Separator 312
 
20.6%
Dash Punctuation 54
 
3.6%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 78
 
9.6%
제 74
 
9.1%
거 73
 
9.0%
동 70
 
8.6%
경 68
 
8.4%
남 68
 
8.4%
도 68
 
8.4%
시 68
 
8.4%
포 20
 
2.5%
고 15
 
1.8%
Other values (68) 212
26.0%
Decimal Number
ValueCountFrequency (%)
1 80
24.3%
4 33
10.0%
0 33
10.0%
9 32
 
9.7%
6 30
 
9.1%
2 29
 
8.8%
5 25
 
7.6%
7 24
 
7.3%
8 23
 
7.0%
3 20
 
6.1%
Space Separator
ValueCountFrequency (%)
312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
53.7%
Common 701
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 78
 
9.6%
제 74
 
9.1%
거 73
 
9.0%
동 70
 
8.6%
경 68
 
8.4%
남 68
 
8.4%
도 68
 
8.4%
시 68
 
8.4%
포 20
 
2.5%
고 15
 
1.8%
Other values (68) 212
26.0%
Common
ValueCountFrequency (%)
312
44.5%
1 80
 
11.4%
- 54
 
7.7%
4 33
 
4.7%
0 33
 
4.7%
9 32
 
4.6%
6 30
 
4.3%
2 29
 
4.1%
5 25
 
3.6%
7 24
 
3.4%
Other values (4) 49
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 814
53.7%
ASCII 701
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
44.5%
1 80
 
11.4%
- 54
 
7.7%
4 33
 
4.7%
0 33
 
4.7%
9 32
 
4.6%
6 30
 
4.3%
2 29
 
4.1%
5 25
 
3.6%
7 24
 
3.4%
Other values (4) 49
 
7.0%
Hangul
ValueCountFrequency (%)
상 78
 
9.6%
제 74
 
9.1%
거 73
 
9.0%
동 70
 
8.6%
경 68
 
8.4%
남 68
 
8.4%
도 68
 
8.4%
시 68
 
8.4%
포 20
 
2.5%
고 15
 
1.8%
Other values (68) 212
26.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2023-08-22 00:00:00
Maximum2023-08-22 00:00:00
2023-12-13T02:07:39.041816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:07:39.144852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T02:07:35.591971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:07:39.222731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고일자업소명영업소 주소(도로명)영업소 주소(지번)
연번1.0001.0001.0001.0001.000
신고일자1.0001.0001.0000.9931.000
업소명1.0001.0001.0001.0001.000
영업소 주소(도로명)1.0000.9931.0001.0001.000
영업소 주소(지번)1.0001.0001.0001.0001.000

Missing values

2023-12-13T02:07:35.727196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:07:35.855845image/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

연번업종명신고일자업소명영업소 주소(도로명)영업소 주소(지번)데이터기준일자
01세탁업1987-05-11부산세탁소경상남도 거제시 일운면 지세포로 101경상남도 거제시 일운면 지세포리 927-62023-08-22
12세탁업1987-05-11태양세탁소경상남도 거제시 거제면 읍내로2길 33경상남도 거제시 거제면 동상리 423-42023-08-22
23세탁업1987-05-11거제컴퓨터세탁경상남도 거제시 거제면 읍내로2길 29경상남도 거제시 거제면 동상리 417-12023-08-22
34세탁업1987-05-11백광컴퓨터크리닝경상남도 거제시 장승포로1길 37 (장승포동)경상남도 거제시 장승포동 455-142023-08-22
45세탁업1987-05-11흑백세탁경상남도 거제시 장승로 50 (장승포동)경상남도 거제시 장승포동 596-22023-08-22
56세탁업1987-05-11중앙컴퓨터크리닝경상남도 거제시 옥포대첩로3길 8 (옥포동)경상남도 거제시 옥포동 529-12023-08-22
67세탁업1991-09-27백조세탁소경상남도 거제시 옥포로 275 (옥포동)경상남도 거제시 옥포동 1290-12023-08-22
78세탁업1992-06-09화인세탁소경상남도 거제시 서문로3길 11 (고현동)경상남도 거제시 고현동 959-82023-08-22
89세탁업1992-08-06뽀송이세탁소경상남도 거제시 옥포중앙로 79 (옥포동,1층)경상남도 거제시 옥포동 507-4 1층2023-08-22
910세탁업1992-07-23한신세탁경상남도 거제시 진목로 19 (옥포동)경상남도 거제시 옥포동 1298-42023-08-22
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5960세탁업2018-06-04주식회사 다온경상남도 거제시 사등면 거제대로 5697-4, 주1동 1층경상남도 거제시 사등면 성포리 196 주1동2023-08-22
6061세탁업2019-04-02삼진기업경상남도 거제시 수양로 208-2, 1층 (양정동)경상남도 거제시 양정동 416-32023-08-22
6162세탁업2021-08-30거제시노동자작업복공동세탁소 블루클리닝경상남도 거제시 연초면 소오비길 30, 노동자작업복공동세탁소 및 주민쉼터 1층경상남도 거제시 연초면 오비리 166-42023-08-22
6263세탁업2022-05-23영희네세탁경상남도 거제시 중곡1로2길 12, 1층 (고현동)경상남도 거제시 고현동 10032023-08-22
6364세탁업2022-10-27더(The)하얀경상남도 거제시 양정4길 29, 주건축물 제2동 1층 (양정동)경상남도 거제시 양정동 27-62023-08-22
6465세탁업2022-11-03(주)샤크경상남도 거제시 장승로 73-2, 1층 (장승포동)경상남도 거제시 장승포동 543-12023-08-22
6566세탁업2022-11-25슈즈크린 거제점경상남도 거제시 탑곡로 88, 7동 1층 104호 (아주동, 혜성골든타운)경상남도 거제시 아주동 320-26 혜성골든타운 7동 104호2023-08-22
6667세탁업2022-11-30수정세탁소경상남도 거제시 양정5길 36, 118동 (상가) 1층 105호 (양정동, 거제아이파크1차)경상남도 거제시 양정동 2792023-08-22
6768세탁업2023-04-05슈즈크린 옥포점경상남도 거제시 성산로 12, 1층 (옥포동)경상남도 거제시 옥포동 879-32023-08-22
6869세탁업2023-04-10슈즈크린경상남도 거제시 수양로 489, 1호동 1층 (양정동)경상남도 거제시 양정동 929-22023-08-22