Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description전라남도 영암군 관내에 위치하고 있는 이용업소 현황에 대한 업소명, 주소, 전화번호 등의 항목을 제공한 데이터 입니다.
URLhttps://www.data.go.kr/data/15045121/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
영업소주소(도로명) has unique valuesUnique
영업소주소(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:43:24.434500
Analysis finished2023-12-12 01:43:25.054662
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T10:43:25.455684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-12T10:43:25.611699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

업소명
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T10:43:25.905731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.09375
Min length4

Characters and Unicode

Total characters163
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row바우제이발관
2nd row현대이발관
3rd row중앙이발관
4th row대아이발관
5th row신복이발관
ValueCountFrequency (%)
현대이발관 2
 
6.2%
바우제이발관 1
 
3.1%
서울이발관 1
 
3.1%
정남이발관 1
 
3.1%
월평이용원 1
 
3.1%
산호이용원 1
 
3.1%
한마음회관이발관 1
 
3.1%
신북이발관 1
 
3.1%
중앙이용원 1
 
3.1%
왕인이발관 1
 
3.1%
Other values (21) 21
65.6%
2023-12-12T10:43:26.297413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 32
19.6%
관 28
17.2%
발 27
16.6%
용 5
 
3.1%
원 5
 
3.1%
대 4
 
2.5%
남 3
 
1.8%
신 3
 
1.8%
성 3
 
1.8%
산 3
 
1.8%
Other values (39) 50
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 32
19.6%
관 28
17.2%
발 27
16.6%
용 5
 
3.1%
원 5
 
3.1%
대 4
 
2.5%
남 3
 
1.8%
신 3
 
1.8%
성 3
 
1.8%
산 3
 
1.8%
Other values (39) 50
30.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 32
19.6%
관 28
17.2%
발 27
16.6%
용 5
 
3.1%
원 5
 
3.1%
대 4
 
2.5%
남 3
 
1.8%
신 3
 
1.8%
성 3
 
1.8%
산 3
 
1.8%
Other values (39) 50
30.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 32
19.6%
관 28
17.2%
발 27
16.6%
용 5
 
3.1%
원 5
 
3.1%
대 4
 
2.5%
남 3
 
1.8%
신 3
 
1.8%
성 3
 
1.8%
산 3
 
1.8%
Other values (39) 50
30.7%

영업소주소(도로명)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T10:43:26.572104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length38
Mean length22.5
Min length19

Characters and Unicode

Total characters720
Distinct characters88
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

Unique32 ?
Unique (%)100.0%

Sample

1st row전라남도 영암군 시종면 금지로 75
2nd row전라남도 영암군 시종면 내동중앙로 22-1
3rd row전라남도 영암군 신북면 간은정로 21-1
4th row전라남도 영암군 삼호읍 아산길 21
5th row전라남도 영암군 학산면 왕인로 193
ValueCountFrequency (%)
전라남도 32
18.6%
영암군 32
18.6%
삼호읍 8
 
4.7%
영암읍 6
 
3.5%
학산면 5
 
2.9%
신북면 4
 
2.3%
178 3
 
1.7%
중앙로 3
 
1.7%
시종면 3
 
1.7%
군서면 3
 
1.7%
Other values (67) 73
42.4%
2023-12-12T10:43:27.027878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
20.0%
영 40
 
5.6%
암 39
 
5.4%
군 35
 
4.9%
남 34
 
4.7%
도 34
 
4.7%
전 33
 
4.6%
라 32
 
4.4%
로 28
 
3.9%
1 25
 
3.5%
Other values (78) 276
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
63.9%
Space Separator 144
 
20.0%
Decimal Number 98
 
13.6%
Dash Punctuation 8
 
1.1%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 40
 
8.7%
암 39
 
8.5%
군 35
 
7.6%
남 34
 
7.4%
도 34
 
7.4%
전 33
 
7.2%
라 32
 
7.0%
로 28
 
6.1%
면 18
 
3.9%
호 17
 
3.7%
Other values (65) 150
32.6%
Decimal Number
ValueCountFrequency (%)
1 25
25.5%
2 16
16.3%
3 13
13.3%
5 11
11.2%
7 9
 
9.2%
6 9
 
9.2%
0 7
 
7.1%
9 4
 
4.1%
8 4
 
4.1%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
63.9%
Common 260
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 40
 
8.7%
암 39
 
8.5%
군 35
 
7.6%
남 34
 
7.4%
도 34
 
7.4%
전 33
 
7.2%
라 32
 
7.0%
로 28
 
6.1%
면 18
 
3.9%
호 17
 
3.7%
Other values (65) 150
32.6%
Common
ValueCountFrequency (%)
144
55.4%
1 25
 
9.6%
2 16
 
6.2%
3 13
 
5.0%
5 11
 
4.2%
7 9
 
3.5%
6 9
 
3.5%
- 8
 
3.1%
0 7
 
2.7%
) 5
 
1.9%
Other values (3) 13
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
63.9%
ASCII 260
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
55.4%
1 25
 
9.6%
2 16
 
6.2%
3 13
 
5.0%
5 11
 
4.2%
7 9
 
3.5%
6 9
 
3.5%
- 8
 
3.1%
0 7
 
2.7%
) 5
 
1.9%
Other values (3) 13
 
5.0%
Hangul
ValueCountFrequency (%)
영 40
 
8.7%
암 39
 
8.5%
군 35
 
7.6%
남 34
 
7.4%
도 34
 
7.4%
전 33
 
7.2%
라 32
 
7.0%
로 28
 
6.1%
면 18
 
3.9%
호 17
 
3.7%
Other values (65) 150
32.6%

영업소주소(지번)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T10:43:27.334047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length24.5625
Min length20

Characters and Unicode

Total characters786
Distinct characters73
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

Unique32 ?
Unique (%)100.0%

Sample

1st row전라남도 영암군 시종면 금지리 76-9
2nd row전라남도 영암군 시종면 만수리 939-5
3rd row전라남도 영암군 신북면 월평리 150-2
4th row전라남도 영암군 삼호읍 용당리 371-4
5th row전라남도 영암군 학산면 용산리 945-11
ValueCountFrequency (%)
전라남도 32
18.9%
영암군 32
18.9%
삼호읍 8
 
4.7%
영암읍 6
 
3.6%
학산면 5
 
3.0%
독천리 4
 
2.4%
신북면 4
 
2.4%
월평리 4
 
2.4%
용앙리 4
 
2.4%
군서면 3
 
1.8%
Other values (60) 67
39.6%
2023-12-12T10:43:27.845993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
21.6%
암 39
 
5.0%
영 38
 
4.8%
남 36
 
4.6%
1 36
 
4.6%
군 35
 
4.5%
전 33
 
4.2%
도 33
 
4.2%
라 32
 
4.1%
리 32
 
4.1%
Other values (63) 302
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
56.2%
Space Separator 170
 
21.6%
Decimal Number 142
 
18.1%
Dash Punctuation 30
 
3.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 39
 
8.8%
영 38
 
8.6%
남 36
 
8.1%
군 35
 
7.9%
전 33
 
7.5%
도 33
 
7.5%
라 32
 
7.2%
리 32
 
7.2%
면 18
 
4.1%
읍 14
 
3.2%
Other values (49) 132
29.9%
Decimal Number
ValueCountFrequency (%)
1 36
25.4%
3 19
13.4%
2 16
11.3%
7 14
 
9.9%
6 12
 
8.5%
5 12
 
8.5%
9 11
 
7.7%
4 8
 
5.6%
8 7
 
4.9%
0 7
 
4.9%
Space Separator
ValueCountFrequency (%)
170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
56.2%
Common 344
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 39
 
8.8%
영 38
 
8.6%
남 36
 
8.1%
군 35
 
7.9%
전 33
 
7.5%
도 33
 
7.5%
라 32
 
7.2%
리 32
 
7.2%
면 18
 
4.1%
읍 14
 
3.2%
Other values (49) 132
29.9%
Common
ValueCountFrequency (%)
170
49.4%
1 36
 
10.5%
- 30
 
8.7%
3 19
 
5.5%
2 16
 
4.7%
7 14
 
4.1%
6 12
 
3.5%
5 12
 
3.5%
9 11
 
3.2%
4 8
 
2.3%
Other values (4) 16
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
56.2%
ASCII 344
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
49.4%
1 36
 
10.5%
- 30
 
8.7%
3 19
 
5.5%
2 16
 
4.7%
7 14
 
4.1%
6 12
 
3.5%
5 12
 
3.5%
9 11
 
3.2%
4 8
 
2.3%
Other values (4) 16
 
4.7%
Hangul
ValueCountFrequency (%)
암 39
 
8.8%
영 38
 
8.6%
남 36
 
8.1%
군 35
 
7.9%
전 33
 
7.5%
도 33
 
7.5%
라 32
 
7.2%
리 32
 
7.2%
면 18
 
4.1%
읍 14
 
3.2%
Other values (49) 132
29.9%

소재지전화
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T10:43:28.087613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.28125
Min length1

Characters and Unicode

Total characters329
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

Unique27 ?
Unique (%)84.4%

Sample

1st row061-472-8534
2nd row061-472-8040
3rd row061-471-9813
4th row061-464-6369
5th row061-472-0588
ValueCountFrequency (%)
061-472-8534 1
 
3.7%
061-473-2974 1
 
3.7%
061-472-8040 1
 
3.7%
061-472-3242 1
 
3.7%
061-471-0322 1
 
3.7%
061-472-9800 1
 
3.7%
061-462-1031 1
 
3.7%
061-471-1876 1
 
3.7%
061-464-6902 1
 
3.7%
061-471-2326 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T10:43:28.498260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.4%
0 47
14.3%
4 45
13.7%
1 40
12.2%
6 39
11.9%
7 27
8.2%
2 25
7.6%
3 18
 
5.5%
9 12
 
3.6%
8 10
 
3.0%
Other values (2) 12
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
82.1%
Dash Punctuation 54
 
16.4%
Space Separator 5
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
17.4%
4 45
16.7%
1 40
14.8%
6 39
14.4%
7 27
10.0%
2 25
9.3%
3 18
 
6.7%
9 12
 
4.4%
8 10
 
3.7%
5 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.4%
0 47
14.3%
4 45
13.7%
1 40
12.2%
6 39
11.9%
7 27
8.2%
2 25
7.6%
3 18
 
5.5%
9 12
 
3.6%
8 10
 
3.0%
Other values (2) 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.4%
0 47
14.3%
4 45
13.7%
1 40
12.2%
6 39
11.9%
7 27
8.2%
2 25
7.6%
3 18
 
5.5%
9 12
 
3.6%
8 10
 
3.0%
Other values (2) 12
 
3.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-03-17
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-17
2nd row2023-03-17
3rd row2023-03-17
4th row2023-03-17
5th row2023-03-17

Common Values

ValueCountFrequency (%)
2023-03-17 32
100.0%

Length

2023-12-12T10:43:28.734880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:28.936161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-17 32
100.0%

Interactions

2023-12-12T10:43:24.725036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:43:29.011181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업소주소(도로명)영업소주소(지번)소재지전화
연번1.0000.9371.0001.0000.913
업소명0.9371.0001.0001.0000.966
영업소주소(도로명)1.0001.0001.0001.0001.000
영업소주소(지번)1.0001.0001.0001.0001.000
소재지전화0.9130.9661.0001.0001.000

Missing values

2023-12-12T10:43:24.874332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:43:25.007842image/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
01바우제이발관전라남도 영암군 시종면 금지로 75전라남도 영암군 시종면 금지리 76-9061-472-85342023-03-17
12현대이발관전라남도 영암군 시종면 내동중앙로 22-1전라남도 영암군 시종면 만수리 939-5061-472-80402023-03-17
23중앙이발관전라남도 영암군 신북면 간은정로 21-1전라남도 영암군 신북면 월평리 150-2061-471-98132023-03-17
34대아이발관전라남도 영암군 삼호읍 아산길 21전라남도 영암군 삼호읍 용당리 371-4061-464-63692023-03-17
45신복이발관전라남도 영암군 학산면 왕인로 193전라남도 영암군 학산면 용산리 945-11061-472-05882023-03-17
56삼호이발관전라남도 영암군 삼호읍 중앙촌길 16전라남도 영암군 삼호읍 용앙리 317-6061-462-94002023-03-17
67고향이발관전라남도 영암군 군서면 오산로 256전라남도 영암군 군서면 해창리 460-4061-473-15342023-03-17
78현대이발관전라남도 영암군 영암읍 남문로 33전라남도 영암군 영암읍 남풍리 235-2061-473-43692023-03-17
89한진이발관전라남도 영암군 영암읍 서남역로 9-8전라남도 영암군 영암읍 서남리 82061-473-05792023-03-17
910청산이발관전라남도 영암군 학산면 영산로 19전라남도 영암군 학산면 독천리 177-8061-472-40692023-03-17
연번업소명영업소주소(도로명)영업소주소(지번)소재지전화데이터기준일자
2223부광이용원전라남도 영암군 영암읍 성밖로 37전라남도 영암군 영암읍 서남리 96-4061-471-18762023-03-17
2324금호이용원전라남도 영암군 삼호읍 대불주거로 160 (금호타운 상가동107호)전라남도 영암군 삼호읍 용앙리 1679-1 금호타운 상가동107호061-462-10312023-03-17
2425왕인이발관전라남도 영암군 군서면 왕인로 502-2전라남도 영암군 군서면 동구림리 48-58061-472-98002023-03-17
2526중앙이용원전라남도 영암군 학산면 영산로 27 ((103호))전라남도 영암군 학산면 독천리 176-11 (103호)061-471-03222023-03-17
2627신북이발관전라남도 영암군 신북면 황금동로 65전라남도 영암군 신북면 월평리 131-15061-472-32422023-03-17
2728한마음회관이발관전라남도 영암군 삼호읍 신항로 63-12전라남도 영암군 삼호읍 용당리 2178-22023-03-17
2829산호이용원전라남도 영암군 삼호읍 삼호중앙로 213 105호전라남도 영암군 삼호읍 용앙리 212-112023-03-17
2930월평이용원전라남도 영암군 신북면 황금동로 70 1층전라남도 영암군 신북면 월평리 129-132023-03-17
3031정남이발관전라남도 영암군 삼호읍 삼호중앙로 178 1층 (왼쪽에서 3번째 칸)전라남도 영암군 삼호읍 용앙리 328 삼호빌딩061-463-88852023-03-17
3132시종이발관전라남도 영암군 시종면 쌍구길 12-3전라남도 영암군 시종면 만수리 932-12023-03-17