Overview

Dataset statistics

Number of variables4
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory37.1 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시남구_석유판매업현황_20210916
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 16:26:33.563510
Analysis finished2023-12-10 16:26:34.093682
Duration0.53 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
2023-12-11T01:26:34.194217image/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
2023-12-11T01:26:34.392618image/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%

상호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:26:34.666474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.125
Min length5

Characters and Unicode

Total characters324
Distinct characters92
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

Unique32 ?
Unique (%)100.0%

Sample

1st row굿오일주유소
2nd row(주)좋은기름나라 북항대교주유소
3rd row내트럭(주)부산용당사업소
4th row내트럭(주)부산사업소
5th row금융단지주유소
ValueCountFrequency (%)
주식회사 2
 
5.3%
굿오일주유소 1
 
2.6%
와이케이에너지(주 1
 
2.6%
주)경인석유 1
 
2.6%
구도일주유소 1
 
2.6%
용호 1
 
2.6%
대성주유소 1
 
2.6%
분포셀프주유소 1
 
2.6%
인터지스(주 1
 
2.6%
현대오일뱅크(주)직영부경셀프주유소 1
 
2.6%
Other values (27) 27
71.1%
2023-12-11T01:26:35.136780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 45
 
13.9%
유 32
 
9.9%
소 29
 
9.0%
( 17
 
5.2%
) 17
 
5.2%
지 8
 
2.5%
대 8
 
2.5%
스 7
 
2.2%
6
 
1.9%
에 6
 
1.9%
Other values (82) 149
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
87.7%
Open Punctuation 17
 
5.2%
Close Punctuation 17
 
5.2%
Space Separator 6
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 45
 
15.8%
유 32
 
11.3%
소 29
 
10.2%
지 8
 
2.8%
대 8
 
2.8%
스 7
 
2.5%
에 6
 
2.1%
사 5
 
1.8%
일 5
 
1.8%
석 5
 
1.8%
Other values (79) 134
47.2%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
87.7%
Common 40
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 45
 
15.8%
유 32
 
11.3%
소 29
 
10.2%
지 8
 
2.8%
대 8
 
2.8%
스 7
 
2.5%
에 6
 
2.1%
사 5
 
1.8%
일 5
 
1.8%
석 5
 
1.8%
Other values (79) 134
47.2%
Common
ValueCountFrequency (%)
( 17
42.5%
) 17
42.5%
6
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
87.7%
ASCII 40
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 45
 
15.8%
유 32
 
11.3%
소 29
 
10.2%
지 8
 
2.8%
대 8
 
2.8%
스 7
 
2.5%
에 6
 
2.1%
사 5
 
1.8%
일 5
 
1.8%
석 5
 
1.8%
Other values (79) 134
47.2%
ASCII
ValueCountFrequency (%)
( 17
42.5%
) 17
42.5%
6
 
15.0%

영업소소재지(도로명)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:26:35.447492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length22
Mean length23.875
Min length21

Characters and Unicode

Total characters764
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

Unique32 ?
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 32
19.5%
남구 32
19.5%
신선로 10
 
6.1%
대연동 8
 
4.9%
용당동 8
 
4.9%
유엔로 5
 
3.0%
우암로 4
 
2.4%
문현동 4
 
2.4%
용호로 3
 
1.8%
감만동 3
 
1.8%
Other values (48) 55
33.5%
2023-12-11T01:26:35.950992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
17.3%
( 36
 
4.7%
) 36
 
4.7%
부 32
 
4.2%
광 32
 
4.2%
역 32
 
4.2%
시 32
 
4.2%
남 32
 
4.2%
구 32
 
4.2%
산 32
 
4.2%
Other values (41) 336
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
56.7%
Space Separator 132
 
17.3%
Decimal Number 116
 
15.2%
Open Punctuation 36
 
4.7%
Close Punctuation 36
 
4.7%
Dash Punctuation 6
 
0.8%
Other Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 32
 
7.4%
광 32
 
7.4%
역 32
 
7.4%
시 32
 
7.4%
남 32
 
7.4%
구 32
 
7.4%
산 32
 
7.4%
로 32
 
7.4%
동 32
 
7.4%
대 14
 
3.2%
Other values (26) 131
30.3%
Decimal Number
ValueCountFrequency (%)
2 22
19.0%
1 21
18.1%
4 14
12.1%
3 13
11.2%
8 9
7.8%
7 8
 
6.9%
6 8
 
6.9%
0 7
 
6.0%
5 7
 
6.0%
9 7
 
6.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
56.7%
Common 331
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 32
 
7.4%
광 32
 
7.4%
역 32
 
7.4%
시 32
 
7.4%
남 32
 
7.4%
구 32
 
7.4%
산 32
 
7.4%
로 32
 
7.4%
동 32
 
7.4%
대 14
 
3.2%
Other values (26) 131
30.3%
Common
ValueCountFrequency (%)
132
39.9%
( 36
 
10.9%
) 36
 
10.9%
2 22
 
6.6%
1 21
 
6.3%
4 14
 
4.2%
3 13
 
3.9%
8 9
 
2.7%
7 8
 
2.4%
6 8
 
2.4%
Other values (5) 32
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
56.7%
ASCII 331
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
39.9%
( 36
 
10.9%
) 36
 
10.9%
2 22
 
6.6%
1 21
 
6.3%
4 14
 
4.2%
3 13
 
3.9%
8 9
 
2.7%
7 8
 
2.4%
6 8
 
2.4%
Other values (5) 32
 
9.7%
Hangul
ValueCountFrequency (%)
부 32
 
7.4%
광 32
 
7.4%
역 32
 
7.4%
시 32
 
7.4%
남 32
 
7.4%
구 32
 
7.4%
산 32
 
7.4%
로 32
 
7.4%
동 32
 
7.4%
대 14
 
3.2%
Other values (26) 131
30.3%

영업소전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:26:36.169430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.96875
Min length11

Characters and Unicode

Total characters383
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

Unique32 ?
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 32
34.0%
623 3
 
3.2%
628 3
 
3.2%
621 3
 
3.2%
622 2
 
2.1%
611 2
 
2.1%
644 2
 
2.1%
625 2
 
2.1%
626 2
 
2.1%
646 2
 
2.1%
Other values (41) 41
43.6%
2023-12-11T01:26:36.548385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
16.4%
1 62
16.2%
5 58
15.1%
0 46
12.0%
6 43
11.2%
2 35
9.1%
4 21
 
5.5%
8 17
 
4.4%
3 16
 
4.2%
9 13
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.6%
Space Separator 63
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 62
19.4%
5 58
18.1%
0 46
14.4%
6 43
13.4%
2 35
10.9%
4 21
 
6.6%
8 17
 
5.3%
3 16
 
5.0%
9 13
 
4.1%
7 9
 
2.8%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 383
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
63
16.4%
1 62
16.2%
5 58
15.1%
0 46
12.0%
6 43
11.2%
2 35
9.1%
4 21
 
5.5%
8 17
 
4.4%
3 16
 
4.2%
9 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
16.4%
1 62
16.2%
5 58
15.1%
0 46
12.0%
6 43
11.2%
2 35
9.1%
4 21
 
5.5%
8 17
 
4.4%
3 16
 
4.2%
9 13
 
3.4%

Interactions

2023-12-11T01:26:33.763362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:26:37.050712image/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

2023-12-11T01:26:33.926145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:26:34.048610image/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
89성지주유소부산광역시 남구 유엔로 42 (우암동)051 644 5995
910문현주유소부산광역시 남구 우암로 374 (문현동)051 647 5185
연번상호영업소소재지(도로명)영업소전화번호
2223인터지스(주)부산광역시 남구 신선로 173 (감만동,외 1필지(254-76))051 611 0583
2324현대오일뱅크(주)직영부경셀프주유소부산광역시 남구 유엔로 235 (대연동)051 623 0041
2425와이케이에너지(주)부산광역시 남구 신선로 387 (용당동)051 623 5189
2526에스씨(주)우암주유소부산광역시 남구 우암로 204 (우암동)051 644 0142
2627지에스칼텍스(주)대연주유소부산광역시 남구 수영로 288 (대연동)051 624 2552
2728은마석유(주)우암로셀프주유소부산광역시 남구 우암로 232 (우암동)051 643 5432
2829삼화주유소부산광역시 남구 우암로 92 (감만동)051 6461620
2930동명주유소부산광역시 남구 전포대로 7 (문현동)051 646 4390
3031(주)신선에너지 유엔주유소부산광역시 남구 석포로 134 (대연동,외 2필지(949-12,949-18))051 6245779
3132매일주유소부산광역시 남구 수영로 22 (문현동)051 646 5182