Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.4 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시 남구에 위치한 석유판매업(주유소) 데이터로 주유소의 상호명, 주소 및 전화번호 등을 제공합니다.- 제공데이터: 주유소 상호명, 주소, 전화번호
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15055820/fileData.do

Alerts

연번 has unique valuesUnique
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique
영업소전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:36:27.889716
Analysis finished2023-12-12 01:36:28.495875
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:36:28.568985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T10:36:28.711914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

상호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:36:28.981956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length9.8666667
Min length5

Characters and Unicode

Total characters296
Distinct characters88
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

Unique30 ?
Unique (%)100.0%

Sample

1st row굿오일주유소
2nd row(주)좋은기름나라 북항대교주유소
3rd row내트럭(주)부산용당사업소
4th row내트럭(주)부산사업소
5th row금융단지주유소
ValueCountFrequency (%)
주식회사 2
 
5.6%
굿오일주유소 1
 
2.8%
인터지스(주 1
 
2.8%
반도주유소 1
 
2.8%
주)경인석유 1
 
2.8%
구도일주유소 1
 
2.8%
용호 1
 
2.8%
대성주유소 1
 
2.8%
분포셀프주유소 1
 
2.8%
주)세일 1
 
2.8%
Other values (25) 25
69.4%
2023-12-12T10:36:29.463085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 42
 
14.2%
유 30
 
10.1%
소 28
 
9.5%
( 15
 
5.1%
) 15
 
5.1%
대 7
 
2.4%
스 7
 
2.4%
6
 
2.0%
지 6
 
2.0%
사 5
 
1.7%
Other values (78) 135
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
87.8%
Open Punctuation 15
 
5.1%
Close Punctuation 15
 
5.1%
Space Separator 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
16.2%
유 30
 
11.5%
소 28
 
10.8%
대 7
 
2.7%
스 7
 
2.7%
지 6
 
2.3%
사 5
 
1.9%
석 5
 
1.9%
일 5
 
1.9%
부 4
 
1.5%
Other values (75) 121
46.5%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
87.8%
Common 36
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
16.2%
유 30
 
11.5%
소 28
 
10.8%
대 7
 
2.7%
스 7
 
2.7%
지 6
 
2.3%
사 5
 
1.9%
석 5
 
1.9%
일 5
 
1.9%
부 4
 
1.5%
Other values (75) 121
46.5%
Common
ValueCountFrequency (%)
( 15
41.7%
) 15
41.7%
6
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
87.8%
ASCII 36
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 42
 
16.2%
유 30
 
11.5%
소 28
 
10.8%
대 7
 
2.7%
스 7
 
2.7%
지 6
 
2.3%
사 5
 
1.9%
석 5
 
1.9%
일 5
 
1.9%
부 4
 
1.5%
Other values (75) 121
46.5%
ASCII
ValueCountFrequency (%)
( 15
41.7%
) 15
41.7%
6
 
16.7%

영업소소재지(도로명)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:36:29.731136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22
Mean length23.3
Min length21

Characters and Unicode

Total characters699
Distinct characters50
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

Unique30 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 북항로 108 (감만동)
2nd row부산광역시 남구 신선로 316 (용당동)
3rd row부산광역시 남구 신선로 261 (용당동)
4th row부산광역시 남구 신선로 168 (감만동)
5th row부산광역시 남구 전포대로 75 (문현동)
ValueCountFrequency (%)
부산광역시 30
19.6%
남구 30
19.6%
신선로 10
 
6.5%
용당동 8
 
5.2%
대연동 7
 
4.6%
문현동 4
 
2.6%
유엔로 4
 
2.6%
우암로 4
 
2.6%
감만동 3
 
2.0%
우암동 3
 
2.0%
Other values (43) 50
32.7%
2023-12-12T10:36:30.200113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
17.6%
( 33
 
4.7%
) 33
 
4.7%
부 30
 
4.3%
광 30
 
4.3%
역 30
 
4.3%
시 30
 
4.3%
남 30
 
4.3%
구 30
 
4.3%
산 30
 
4.3%
Other values (40) 300
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
57.8%
Space Separator 123
 
17.6%
Decimal Number 99
 
14.2%
Open Punctuation 33
 
4.7%
Close Punctuation 33
 
4.7%
Dash Punctuation 4
 
0.6%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 30
 
7.4%
광 30
 
7.4%
역 30
 
7.4%
시 30
 
7.4%
남 30
 
7.4%
구 30
 
7.4%
산 30
 
7.4%
로 30
 
7.4%
동 30
 
7.4%
용 14
 
3.5%
Other values (25) 120
29.7%
Decimal Number
ValueCountFrequency (%)
2 19
19.2%
1 18
18.2%
3 11
11.1%
4 11
11.1%
6 8
8.1%
8 8
8.1%
7 8
8.1%
0 7
 
7.1%
5 6
 
6.1%
9 3
 
3.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
57.8%
Common 295
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 30
 
7.4%
광 30
 
7.4%
역 30
 
7.4%
시 30
 
7.4%
남 30
 
7.4%
구 30
 
7.4%
산 30
 
7.4%
로 30
 
7.4%
동 30
 
7.4%
용 14
 
3.5%
Other values (25) 120
29.7%
Common
ValueCountFrequency (%)
123
41.7%
( 33
 
11.2%
) 33
 
11.2%
2 19
 
6.4%
1 18
 
6.1%
3 11
 
3.7%
4 11
 
3.7%
6 8
 
2.7%
8 8
 
2.7%
7 8
 
2.7%
Other values (5) 23
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
57.8%
ASCII 295
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
41.7%
( 33
 
11.2%
) 33
 
11.2%
2 19
 
6.4%
1 18
 
6.1%
3 11
 
3.7%
4 11
 
3.7%
6 8
 
2.7%
8 8
 
2.7%
7 8
 
2.7%
Other values (5) 23
 
7.8%
Hangul
ValueCountFrequency (%)
부 30
 
7.4%
광 30
 
7.4%
역 30
 
7.4%
시 30
 
7.4%
남 30
 
7.4%
구 30
 
7.4%
산 30
 
7.4%
로 30
 
7.4%
동 30
 
7.4%
용 14
 
3.5%
Other values (25) 120
29.7%

영업소전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:36:30.502038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row051-637-5157
2nd row051-628-5152
3rd row051-931-8008
4th row051-638-3971
5th row051-633-5117
ValueCountFrequency (%)
051-637-5157 1
 
3.3%
051-628-5152 1
 
3.3%
051-646-4390 1
 
3.3%
051-646-1620 1
 
3.3%
051-643-5432 1
 
3.3%
051-624-2552 1
 
3.3%
051-644-0142 1
 
3.3%
051-623-5189 1
 
3.3%
051-611-0583 1
 
3.3%
051-628-8989 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:36:30.913383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
1 59
16.4%
5 55
15.3%
0 42
11.7%
6 41
11.4%
2 33
9.2%
4 19
 
5.3%
8 17
 
4.7%
3 15
 
4.2%
9 12
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 59
19.7%
5 55
18.3%
0 42
14.0%
6 41
13.7%
2 33
11.0%
4 19
 
6.3%
8 17
 
5.7%
3 15
 
5.0%
9 12
 
4.0%
7 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
1 59
16.4%
5 55
15.3%
0 42
11.7%
6 41
11.4%
2 33
9.2%
4 19
 
5.3%
8 17
 
4.7%
3 15
 
4.2%
9 12
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
1 59
16.4%
5 55
15.3%
0 42
11.7%
6 41
11.4%
2 33
9.2%
4 19
 
5.3%
8 17
 
4.7%
3 15
 
4.2%
9 12
 
3.3%

Interactions

2023-12-12T10:36:28.155825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:36:31.033319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호영업소소재지(도로명)영업소전화번호
연번1.0001.0001.0001.000
상호1.0001.0001.0001.000
영업소소재지(도로명)1.0001.0001.0001.000
영업소전화번호1.0001.0001.0001.000

Missing values

2023-12-12T10:36:28.347211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:36:28.453236image/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

연번상호영업소소재지(도로명)영업소전화번호
01굿오일주유소부산광역시 남구 북항로 108 (감만동)051-637-5157
12(주)좋은기름나라 북항대교주유소부산광역시 남구 신선로 316 (용당동)051-628-5152
23내트럭(주)부산용당사업소부산광역시 남구 신선로 261 (용당동)051-931-8008
34내트럭(주)부산사업소부산광역시 남구 신선로 168 (감만동)051-638-3971
45금융단지주유소부산광역시 남구 전포대로 75 (문현동)051-633-5117
56주식회사 대호석유 용당씨와이주유소부산광역시 남구 신선로 392 (용당동)051-622-5121
67씨제이대한통운(주)직영용당터미널주유소부산광역시 남구 신선로 252 (용당동)051-621-5154
78지에스칼텍스(주)비치주유소부산광역시 남구 용호로 60 (용호동,외 1필지(209-1))051-625-5151
89성지셀프주유소부산광역시 남구 유엔로 42 (우암동)051-644-5995
910문현주유소부산광역시 남구 우암로 374 (문현동)051-647-5185
연번상호영업소소재지(도로명)영업소전화번호
2021대성주유소부산광역시 남구 문현로 67 (문현동,외 1필지(101-8))051-634-0668
2122분포셀프주유소부산광역시 남구 용호로 116 (용호동)051-628-8989
2223인터지스(주)부산광역시 남구 신선로 173 (감만동,외 1필지(254-76))051-611-0583
2324(주)세일 부산항주유소부산광역시 남구 신선로 387 (용당동)051-623-5189
2425에스씨(주)우암주유소부산광역시 남구 우암로 204 (우암동)051-644-0142
2526지에스칼텍스(주)대연주유소부산광역시 남구 수영로 288 (대연동)051-624-2552
2627은마석유(주)우암로셀프주유소부산광역시 남구 우암로 232 (우암동)051-643-5432
2728삼화주유소부산광역시 남구 우암로 92 (감만동)051-646-1620
2829동명주유소부산광역시 남구 전포대로 7 (문현동)051-646-4390
2930매일주유소부산광역시 남구 수영로 22 (문현동)051-646-5182