Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.3 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시남구_석유판매업현황_20220914
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15055820

Alerts

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

Reproduction

Analysis started2023-12-10 16:26:29.818734
Analysis finished2023-12-10 16:26:30.230935
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T01:26:30.294805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-11T01:26:30.425330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

상호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:26:30.655920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length9.9032258
Min length5

Characters and Unicode

Total characters307
Distinct characters91
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row굿오일주유소
2nd row(주)좋은기름나라 북항대교주유소
3rd row내트럭(주)부산용당사업소
4th row내트럭(주)부산사업소
5th row금융단지주유소
ValueCountFrequency (%)
주식회사 2
 
5.4%
굿오일주유소 1
 
2.7%
와이케이에너지(주 1
 
2.7%
주)경인석유 1
 
2.7%
구도일주유소 1
 
2.7%
용호 1
 
2.7%
대성주유소 1
 
2.7%
분포셀프주유소 1
 
2.7%
인터지스(주 1
 
2.7%
에스씨(주)우암주유소 1
 
2.7%
Other values (26) 26
70.3%
2023-12-11T01:26:31.079425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
14.0%
유 31
 
10.1%
소 28
 
9.1%
( 16
 
5.2%
) 16
 
5.2%
지 8
 
2.6%
대 7
 
2.3%
스 7
 
2.3%
에 6
 
2.0%
6
 
2.0%
Other values (81) 139
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
87.0%
Open Punctuation 16
 
5.2%
Close Punctuation 16
 
5.2%
Space Separator 6
 
2.0%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
16.1%
유 31
 
11.6%
소 28
 
10.5%
지 8
 
3.0%
대 7
 
2.6%
스 7
 
2.6%
에 6
 
2.2%
사 5
 
1.9%
석 5
 
1.9%
일 4
 
1.5%
Other values (76) 123
46.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
87.0%
Common 38
 
12.4%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
16.1%
유 31
 
11.6%
소 28
 
10.5%
지 8
 
3.0%
대 7
 
2.6%
스 7
 
2.6%
에 6
 
2.2%
사 5
 
1.9%
석 5
 
1.9%
일 4
 
1.5%
Other values (76) 123
46.1%
Common
ValueCountFrequency (%)
( 16
42.1%
) 16
42.1%
6
 
15.8%
Latin
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
87.0%
ASCII 40
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
16.1%
유 31
 
11.6%
소 28
 
10.5%
지 8
 
3.0%
대 7
 
2.6%
스 7
 
2.6%
에 6
 
2.2%
사 5
 
1.9%
석 5
 
1.9%
일 4
 
1.5%
Other values (76) 123
46.1%
ASCII
ValueCountFrequency (%)
( 16
40.0%
) 16
40.0%
6
 
15.0%
C 1
 
2.5%
J 1
 
2.5%

영업소소재지(도로명)
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:26:31.352934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length22.387097
Min length21

Characters and Unicode

Total characters694
Distinct characters51
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

Unique31 ?
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 31
19.9%
남구 31
19.9%
신선로 10
 
6.4%
대연동 8
 
5.1%
용당동 8
 
5.1%
문현동 5
 
3.2%
감만동 4
 
2.6%
우암로 4
 
2.6%
유엔로 4
 
2.6%
황령대로 3
 
1.9%
Other values (41) 48
30.8%
2023-12-11T01:26:31.790205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
18.0%
( 32
 
4.6%
) 32
 
4.6%
부 31
 
4.5%
광 31
 
4.5%
역 31
 
4.5%
시 31
 
4.5%
남 31
 
4.5%
구 31
 
4.5%
산 31
 
4.5%
Other values (41) 288
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
59.2%
Space Separator 125
 
18.0%
Decimal Number 91
 
13.1%
Open Punctuation 32
 
4.6%
Close Punctuation 32
 
4.6%
Dash Punctuation 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 31
 
7.5%
광 31
 
7.5%
역 31
 
7.5%
시 31
 
7.5%
남 31
 
7.5%
구 31
 
7.5%
산 31
 
7.5%
로 31
 
7.5%
동 31
 
7.5%
용 14
 
3.4%
Other values (26) 118
28.7%
Decimal Number
ValueCountFrequency (%)
2 18
19.8%
1 15
16.5%
3 12
13.2%
4 11
12.1%
8 7
 
7.7%
6 7
 
7.7%
7 7
 
7.7%
0 6
 
6.6%
5 5
 
5.5%
9 3
 
3.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
59.2%
Common 283
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 31
 
7.5%
광 31
 
7.5%
역 31
 
7.5%
시 31
 
7.5%
남 31
 
7.5%
구 31
 
7.5%
산 31
 
7.5%
로 31
 
7.5%
동 31
 
7.5%
용 14
 
3.4%
Other values (26) 118
28.7%
Common
ValueCountFrequency (%)
125
44.2%
( 32
 
11.3%
) 32
 
11.3%
2 18
 
6.4%
1 15
 
5.3%
3 12
 
4.2%
4 11
 
3.9%
8 7
 
2.5%
6 7
 
2.5%
7 7
 
2.5%
Other values (5) 17
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
59.2%
ASCII 283
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
44.2%
( 32
 
11.3%
) 32
 
11.3%
2 18
 
6.4%
1 15
 
5.3%
3 12
 
4.2%
4 11
 
3.9%
8 7
 
2.5%
6 7
 
2.5%
7 7
 
2.5%
Other values (5) 17
 
6.0%
Hangul
ValueCountFrequency (%)
부 31
 
7.5%
광 31
 
7.5%
역 31
 
7.5%
시 31
 
7.5%
남 31
 
7.5%
구 31
 
7.5%
산 31
 
7.5%
로 31
 
7.5%
동 31
 
7.5%
용 14
 
3.4%
Other values (26) 118
28.7%

영업소전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:26:32.014928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.967742
Min length11

Characters and Unicode

Total characters371
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

Unique31 ?
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 31
34.1%
623 3
 
3.3%
628 3
 
3.3%
621 3
 
3.3%
626 2
 
2.2%
611 2
 
2.2%
622 2
 
2.2%
644 2
 
2.2%
625 2
 
2.2%
0583 1
 
1.1%
Other values (40) 40
44.0%
2023-12-11T01:26:32.418860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
16.4%
1 60
16.2%
5 56
15.1%
0 45
12.1%
6 41
11.1%
2 34
9.2%
4 20
 
5.4%
3 16
 
4.3%
8 16
 
4.3%
9 13
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.6%
Space Separator 61
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 60
19.4%
5 56
18.1%
0 45
14.5%
6 41
13.2%
2 34
11.0%
4 20
 
6.5%
3 16
 
5.2%
8 16
 
5.2%
9 13
 
4.2%
7 9
 
2.9%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
61
16.4%
1 60
16.2%
5 56
15.1%
0 45
12.1%
6 41
11.1%
2 34
9.2%
4 20
 
5.4%
3 16
 
4.3%
8 16
 
4.3%
9 13
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
16.4%
1 60
16.2%
5 56
15.1%
0 45
12.1%
6 41
11.1%
2 34
9.2%
4 20
 
5.4%
3 16
 
4.3%
8 16
 
4.3%
9 13
 
3.5%

Interactions

2023-12-11T01:26:29.992027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:26:32.580790image/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

2023-12-11T01:26:30.104621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:26:30.196294image/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
67CJ대한통운(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
2122분포셀프주유소부산광역시 남구 용호로 116 (용호동)051 628 8989
2223인터지스(주)부산광역시 남구 신선로 173 (감만동)051 611 0583
2324와이케이에너지(주)부산광역시 남구 신선로 387 (용당동)051 623 0041
2425에스씨(주)우암주유소부산광역시 남구 우암로 204 (우암동)051 623 5189
2526지에스칼텍스(주)대연주유소부산광역시 남구 수영로 288 (대연동)051 644 0142
2627은마석유(주)우암로셀프주유소부산광역시 남구 우암로 232 (우암동)051 624 2552
2728삼화주유소부산광역시 남구 우암로 92 (감만동)051 643 5432
2829동명주유소부산광역시 남구 전포대로 7 (문현동)051 6461620
2930(주)신선에너지 유엔주유소부산광역시 남구 석포로 134 (대연동)051 646 4390
3031매일주유소부산광역시 남구 수영로 22 (문현동)051 6245779