Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells1
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description전라남도 영암군 관내에 위치하고 있는 세탁업소 현황에 대한 업소명, 주소, 전화번호등의 항목을 제공하는 데이터입니다.
URLhttps://www.data.go.kr/data/15054267/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 1 (3.8%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:59:25.892247
Analysis finished2023-12-11 22:59:26.503636
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T07:59:26.559234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T07:59:26.690480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

업소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T07:59:26.919286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.4230769
Min length3

Characters and Unicode

Total characters141
Distinct characters66
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row청옥세탁소
2nd row제일세탁소
3rd row예지세탁소
4th row한라세탁소
5th row환희세탁소
ValueCountFrequency (%)
청옥세탁소 1
 
3.7%
한올세탁 1
 
3.7%
삼마 1
 
3.7%
주식회사 1
 
3.7%
째쟁이리폼세탁소 1
 
3.7%
현대3차세탁소 1
 
3.7%
용당사 1
 
3.7%
한결산업 1
 
3.7%
그린세탁소 1
 
3.7%
삼호세탁나라 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T07:59:27.240596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 19
 
13.5%
탁 19
 
13.5%
소 15
 
10.6%
대 4
 
2.8%
사 4
 
2.8%
업 3
 
2.1%
이 3
 
2.1%
영 3
 
2.1%
한 3
 
2.1%
깔 2
 
1.4%
Other values (56) 66
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
97.2%
Uppercase Letter 2
 
1.4%
Decimal Number 1
 
0.7%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 19
 
13.9%
탁 19
 
13.9%
소 15
 
10.9%
대 4
 
2.9%
사 4
 
2.9%
업 3
 
2.2%
이 3
 
2.2%
영 3
 
2.2%
한 3
 
2.2%
깔 2
 
1.5%
Other values (52) 62
45.3%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
97.2%
Common 2
 
1.4%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 19
 
13.9%
탁 19
 
13.9%
소 15
 
10.9%
대 4
 
2.9%
사 4
 
2.9%
업 3
 
2.2%
이 3
 
2.2%
영 3
 
2.2%
한 3
 
2.2%
깔 2
 
1.5%
Other values (52) 62
45.3%
Common
ValueCountFrequency (%)
3 1
50.0%
1
50.0%
Latin
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
97.2%
ASCII 4
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 19
 
13.9%
탁 19
 
13.9%
소 15
 
10.9%
대 4
 
2.9%
사 4
 
2.9%
업 3
 
2.2%
이 3
 
2.2%
영 3
 
2.2%
한 3
 
2.2%
깔 2
 
1.5%
Other values (52) 62
45.3%
ASCII
ValueCountFrequency (%)
3 1
25.0%
1
25.0%
O 1
25.0%
K 1
25.0%

영업소주소(도로명)
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T07:59:27.507060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37.5
Mean length24.884615
Min length18

Characters and Unicode

Total characters647
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row전라남도 영암군 영암읍 서문로 15-1
2nd row전라남도 영암군 신북면 황금동로 75-2
3rd row전라남도 영암군 군서면 구림로 2
4th row전라남도 영암군 삼호읍 신항로 63-5
5th row전라남도 영암군 영암읍 중앙로 55-1
ValueCountFrequency (%)
전라남도 26
17.9%
영암군 26
17.9%
삼호읍 16
 
11.0%
영암읍 5
 
3.4%
신항로 4
 
2.8%
서문로 2
 
1.4%
102호 2
 
1.4%
상가동 2
 
1.4%
독천로 2
 
1.4%
123-11 2
 
1.4%
Other values (53) 58
40.0%
2023-12-12T07:59:27.882669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
19.0%
1 34
 
5.3%
영 31
 
4.8%
암 31
 
4.8%
남 27
 
4.2%
군 27
 
4.2%
전 26
 
4.0%
도 26
 
4.0%
라 26
 
4.0%
호 24
 
3.7%
Other values (65) 272
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
60.4%
Space Separator 123
 
19.0%
Decimal Number 108
 
16.7%
Dash Punctuation 14
 
2.2%
Open Punctuation 5
 
0.8%
Close Punctuation 5
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 31
 
7.9%
암 31
 
7.9%
남 27
 
6.9%
군 27
 
6.9%
전 26
 
6.6%
도 26
 
6.6%
라 26
 
6.6%
호 24
 
6.1%
읍 21
 
5.4%
로 20
 
5.1%
Other values (50) 132
33.8%
Decimal Number
ValueCountFrequency (%)
1 34
31.5%
2 20
18.5%
3 14
13.0%
5 13
 
12.0%
0 8
 
7.4%
7 5
 
4.6%
4 5
 
4.6%
6 3
 
2.8%
9 3
 
2.8%
8 3
 
2.8%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
60.4%
Common 256
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 31
 
7.9%
암 31
 
7.9%
남 27
 
6.9%
군 27
 
6.9%
전 26
 
6.6%
도 26
 
6.6%
라 26
 
6.6%
호 24
 
6.1%
읍 21
 
5.4%
로 20
 
5.1%
Other values (50) 132
33.8%
Common
ValueCountFrequency (%)
123
48.0%
1 34
 
13.3%
2 20
 
7.8%
- 14
 
5.5%
3 14
 
5.5%
5 13
 
5.1%
0 8
 
3.1%
( 5
 
2.0%
7 5
 
2.0%
4 5
 
2.0%
Other values (5) 15
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
60.4%
ASCII 256
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
48.0%
1 34
 
13.3%
2 20
 
7.8%
- 14
 
5.5%
3 14
 
5.5%
5 13
 
5.1%
0 8
 
3.1%
( 5
 
2.0%
7 5
 
2.0%
4 5
 
2.0%
Other values (5) 15
 
5.9%
Hangul
ValueCountFrequency (%)
영 31
 
7.9%
암 31
 
7.9%
남 27
 
6.9%
군 27
 
6.9%
전 26
 
6.6%
도 26
 
6.6%
라 26
 
6.6%
호 24
 
6.1%
읍 21
 
5.4%
로 20
 
5.1%
Other values (50) 132
33.8%

영업소주소(지번)
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T07:59:28.124039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length26.846154
Min length21

Characters and Unicode

Total characters698
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row전라남도 영암군 영암읍 동무리 165-5
2nd row전라남도 영암군 신북면 월평리 127-9
3rd row전라남도 영암군 군서면 동구림리 96-2
4th row전라남도 영암군 삼호읍 용당리 2179-2
5th row전라남도 영암군 영암읍 역리 292-17
ValueCountFrequency (%)
전라남도 26
17.8%
영암군 26
17.8%
삼호읍 16
 
11.0%
용앙리 7
 
4.8%
용당리 5
 
3.4%
영암읍 5
 
3.4%
나불리 3
 
2.1%
학산면 2
 
1.4%
동무리 2
 
1.4%
서남리 2
 
1.4%
Other values (45) 52
35.6%
2023-12-12T07:59:28.475087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
20.6%
1 32
 
4.6%
영 31
 
4.4%
암 31
 
4.4%
남 28
 
4.0%
- 27
 
3.9%
군 27
 
3.9%
2 27
 
3.9%
전 26
 
3.7%
도 26
 
3.7%
Other values (59) 299
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
54.6%
Space Separator 144
 
20.6%
Decimal Number 141
 
20.2%
Dash Punctuation 27
 
3.9%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 31
 
8.1%
암 31
 
8.1%
남 28
 
7.3%
군 27
 
7.1%
전 26
 
6.8%
도 26
 
6.8%
라 26
 
6.8%
리 26
 
6.8%
호 22
 
5.8%
읍 21
 
5.5%
Other values (44) 117
30.7%
Decimal Number
ValueCountFrequency (%)
1 32
22.7%
2 27
19.1%
3 17
12.1%
6 16
11.3%
7 16
11.3%
4 8
 
5.7%
5 7
 
5.0%
9 7
 
5.0%
0 7
 
5.0%
8 4
 
2.8%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
54.6%
Common 317
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 31
 
8.1%
암 31
 
8.1%
남 28
 
7.3%
군 27
 
7.1%
전 26
 
6.8%
도 26
 
6.8%
라 26
 
6.8%
리 26
 
6.8%
호 22
 
5.8%
읍 21
 
5.5%
Other values (44) 117
30.7%
Common
ValueCountFrequency (%)
144
45.4%
1 32
 
10.1%
- 27
 
8.5%
2 27
 
8.5%
3 17
 
5.4%
6 16
 
5.0%
7 16
 
5.0%
4 8
 
2.5%
5 7
 
2.2%
9 7
 
2.2%
Other values (5) 16
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
54.6%
ASCII 317
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
45.4%
1 32
 
10.1%
- 27
 
8.5%
2 27
 
8.5%
3 17
 
5.4%
6 16
 
5.0%
7 16
 
5.0%
4 8
 
2.5%
5 7
 
2.2%
9 7
 
2.2%
Other values (5) 16
 
5.0%
Hangul
ValueCountFrequency (%)
영 31
 
8.1%
암 31
 
8.1%
남 28
 
7.3%
군 27
 
7.1%
전 26
 
6.8%
도 26
 
6.8%
라 26
 
6.8%
리 26
 
6.8%
호 22
 
5.8%
읍 21
 
5.5%
Other values (44) 117
30.7%

소재지전화
Text

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2023-12-12T07:59:28.987725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.68
Min length1

Characters and Unicode

Total characters267
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)88.0%

Sample

1st row061-473-2944
2nd row061-473-4392
3rd row061-472-0458
4th row061-461-0311
5th row061-471-3839
ValueCountFrequency (%)
061-473-2944 1
 
4.5%
061-472-0458 1
 
4.5%
061-473-4392 1
 
4.5%
061-464-3400 1
 
4.5%
061-464-7792 1
 
4.5%
061-463-3635 1
 
4.5%
061-471-2831 1
 
4.5%
061-472-5416 1
 
4.5%
061-462-7200 1
 
4.5%
061-464-9500 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T07:59:29.361175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.5%
6 38
14.2%
1 35
13.1%
0 34
12.7%
4 33
12.4%
7 20
7.5%
2 20
7.5%
3 16
 
6.0%
8 10
 
3.7%
9 7
 
2.6%
Other values (2) 10
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
82.4%
Dash Punctuation 44
 
16.5%
Space Separator 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 38
17.3%
1 35
15.9%
0 34
15.5%
4 33
15.0%
7 20
9.1%
2 20
9.1%
3 16
7.3%
8 10
 
4.5%
9 7
 
3.2%
5 7
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 267
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.5%
6 38
14.2%
1 35
13.1%
0 34
12.7%
4 33
12.4%
7 20
7.5%
2 20
7.5%
3 16
 
6.0%
8 10
 
3.7%
9 7
 
2.6%
Other values (2) 10
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.5%
6 38
14.2%
1 35
13.1%
0 34
12.7%
4 33
12.4%
7 20
7.5%
2 20
7.5%
3 16
 
6.0%
8 10
 
3.7%
9 7
 
2.6%
Other values (2) 10
 
3.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2023-03-17 00:00:00
Maximum2023-03-17 00:00:00
2023-12-12T07:59:29.504640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:59:29.597144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T07:59:26.210828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:59:29.676864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업소주소(도로명)영업소주소(지번)소재지전화
연번1.0001.0000.9470.8920.930
업소명1.0001.0001.0001.0001.000
영업소주소(도로명)0.9471.0001.0001.0000.982
영업소주소(지번)0.8921.0001.0001.0000.982
소재지전화0.9301.0000.9820.9821.000

Missing values

2023-12-12T07:59:26.345251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:59:26.465359image/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

연번업소명영업소주소(도로명)영업소주소(지번)소재지전화데이터기준일자
01청옥세탁소전라남도 영암군 영암읍 서문로 15-1전라남도 영암군 영암읍 동무리 165-5061-473-29442023-03-17
12제일세탁소전라남도 영암군 신북면 황금동로 75-2전라남도 영암군 신북면 월평리 127-9061-473-43922023-03-17
23예지세탁소전라남도 영암군 군서면 구림로 2전라남도 영암군 군서면 동구림리 96-2061-472-04582023-03-17
34한라세탁소전라남도 영암군 삼호읍 신항로 63-5전라남도 영암군 삼호읍 용당리 2179-2061-461-03112023-03-17
45환희세탁소전라남도 영암군 영암읍 중앙로 55-1전라남도 영암군 영암읍 역리 292-17061-471-38392023-03-17
56대불세탁소전라남도 영암군 삼호읍 대불주거5로 12전라남도 영암군 삼호읍 용앙리 1664-8061-462-87702023-03-17
67깔끄미세탁소전라남도 영암군 시종면 쌍구길 14-1전라남도 영암군 시종면 만수리 930-9061-471-12382023-03-17
78런던세탁소전라남도 영암군 학산면 독천로 184 (1235-13 178-6 132-3)전라남도 영암군 학산면 독천리 1235-12 1235-13 178-6 132-3061-472-42412023-03-17
89성실기업전라남도 영암군 삼호읍 신항로 135-27 상가동 102호 (삼호4차@)전라남도 영암군 삼호읍 용당리 2176-2 삼호4차@ 상가동 102호061-462-85882023-03-17
910OK산업전라남도 영암군 삼호읍 대불공원길 41전라남도 영암군 삼호읍 나불리 604-2 외 1필지061-462-68852023-03-17
연번업소명영업소주소(도로명)영업소주소(지번)소재지전화데이터기준일자
1617미모사세탁소전라남도 영암군 학산면 독천로 175전라남도 영암군 학산면 독천리 177-12061-472-54162023-03-17
1718영아네깔끔이세탁소전라남도 영암군 영암읍 남문로 22-5전라남도 영암군 영암읍 서남리 123061-471-28312023-03-17
1819삼호세탁나라전라남도 영암군 삼호읍 대불주거로 82 102호전라남도 영암군 삼호읍 용앙리 420-3 102호061-463-36352023-03-17
1920그린세탁소전라남도 영암군 삼호읍 삼호중앙로 139전라남도 영암군 삼호읍 용앙리 313-272023-03-17
2021한결산업전라남도 영암군 삼호읍 대불공원1길 10전라남도 영암군 삼호읍 나불리 606-1061-464-77922023-03-17
2122용당사전라남도 영암군 삼호읍 용당로 321전라남도 영암군 삼호읍 용당리 511-4061-464-34002023-03-17
2223현대3차세탁소전라남도 영암군 삼호읍 신항로 123-11 삼호3차사원임대아파트 103호전라남도 영암군 삼호읍 용당리 2177-2 삼호3차사원임대아파트<NA>2023-03-17
2324째쟁이리폼세탁소전라남도 영암군 삼호읍 신항로 123-11 상가동 202호전라남도 영암군 삼호읍 용당리 2177-2 삼호3차사원임대아파트061-461-13262023-03-17
2425주식회사 삼마전라남도 영암군 삼호읍 소등공원1길 40전라남도 영암군 삼호읍 나불리 335-32023-03-17
2526대불운동화세탁전라남도 영암군 삼호읍 대불주거5로 12전라남도 영암군 삼호읍 용앙리 1664-82023-03-17