Overview

Dataset statistics

Number of variables5
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory43.8 B

Variable types

Categorical2
Text3

Dataset

Description부산광역시남구_주유소현황_20190423
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3045988

Alerts

사업구분 has constant value ""Constant
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique
영업소소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:12:09.335693
Analysis finished2023-12-10 17:12:10.149835
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
주유소
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주유소
2nd row주유소
3rd row주유소
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 35
100.0%

Length

2023-12-11T02:12:10.300945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:12:10.527349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 35
100.0%
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
개인
20 
법인
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row법인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 20
57.1%
법인 15
42.9%

Length

2023-12-11T02:12:10.774841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:12:10.995945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 20
57.1%
법인 15
42.9%

상호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T02:12:11.364030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.514286
Min length5

Characters and Unicode

Total characters368
Distinct characters93
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

Unique35 ?
Unique (%)100.0%

Sample

1st row굿오일주유소
2nd row(주)좋은기름나라 북항대교주유소
3rd row내트럭(주)부산용당사업소
4th row내트럭 하우스 부산사업소 내트럭(주)직영
5th row(주)OS에너지 신선대주유소
ValueCountFrequency (%)
sk네트웍스(주 2
 
4.3%
주식회사 2
 
4.3%
주)os에너지 2
 
4.3%
대일주유소 1
 
2.1%
박물관주유소 1
 
2.1%
와이케이에너지(주 1
 
2.1%
반도주유소 1
 
2.1%
주)경인석유 1
 
2.1%
구도일주유소용호 1
 
2.1%
대성주유소 1
 
2.1%
Other values (34) 34
72.3%
2023-12-11T02:12:12.069966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
13.6%
35
 
9.5%
31
 
8.4%
) 20
 
5.4%
( 20
 
5.4%
12
 
3.3%
12
 
3.3%
11
 
3.0%
9
 
2.4%
8
 
2.2%
Other values (83) 160
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
83.7%
Close Punctuation 20
 
5.4%
Open Punctuation 20
 
5.4%
Space Separator 12
 
3.3%
Uppercase Letter 8
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
16.2%
35
 
11.4%
31
 
10.1%
12
 
3.9%
11
 
3.6%
9
 
2.9%
8
 
2.6%
6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (77) 136
44.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
50.0%
K 2
25.0%
O 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
83.7%
Common 52
 
14.1%
Latin 8
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
16.2%
35
 
11.4%
31
 
10.1%
12
 
3.9%
11
 
3.6%
9
 
2.9%
8
 
2.6%
6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (77) 136
44.2%
Common
ValueCountFrequency (%)
) 20
38.5%
( 20
38.5%
12
23.1%
Latin
ValueCountFrequency (%)
S 4
50.0%
K 2
25.0%
O 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
83.7%
ASCII 60
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
 
16.2%
35
 
11.4%
31
 
10.1%
12
 
3.9%
11
 
3.6%
9
 
2.9%
8
 
2.6%
6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (77) 136
44.2%
ASCII
ValueCountFrequency (%)
) 20
33.3%
( 20
33.3%
12
20.0%
S 4
 
6.7%
K 2
 
3.3%
O 2
 
3.3%
Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T02:12:12.369834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length22
Mean length23.8
Min length21

Characters and Unicode

Total characters833
Distinct characters53
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

Unique35 ?
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 신선로 308 (용당동)
ValueCountFrequency (%)
부산광역시 35
19.7%
남구 35
19.7%
신선로 11
 
6.2%
대연동 10
 
5.6%
용당동 8
 
4.5%
유엔로 5
 
2.8%
우암로 4
 
2.2%
문현동 4
 
2.2%
용호로 3
 
1.7%
감만동 3
 
1.7%
Other values (52) 60
33.7%
2023-12-11T02:12:12.841036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
17.2%
) 39
 
4.7%
( 39
 
4.7%
35
 
4.2%
35
 
4.2%
35
 
4.2%
35
 
4.2%
35
 
4.2%
35
 
4.2%
35
 
4.2%
Other values (43) 367
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
56.9%
Space Separator 143
 
17.2%
Decimal Number 127
 
15.2%
Close Punctuation 39
 
4.7%
Open Punctuation 39
 
4.7%
Dash Punctuation 6
 
0.7%
Other Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
16
 
3.4%
Other values (28) 143
30.2%
Decimal Number
ValueCountFrequency (%)
1 23
18.1%
2 23
18.1%
4 15
11.8%
3 15
11.8%
7 10
7.9%
8 9
 
7.1%
6 9
 
7.1%
0 8
 
6.3%
9 8
 
6.3%
5 7
 
5.5%
Space Separator
ValueCountFrequency (%)
143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
56.9%
Common 359
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
16
 
3.4%
Other values (28) 143
30.2%
Common
ValueCountFrequency (%)
143
39.8%
) 39
 
10.9%
( 39
 
10.9%
1 23
 
6.4%
2 23
 
6.4%
4 15
 
4.2%
3 15
 
4.2%
7 10
 
2.8%
8 9
 
2.5%
6 9
 
2.5%
Other values (5) 34
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
56.9%
ASCII 359
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
39.8%
) 39
 
10.9%
( 39
 
10.9%
1 23
 
6.4%
2 23
 
6.4%
4 15
 
4.2%
3 15
 
4.2%
7 10
 
2.8%
8 9
 
2.5%
6 9
 
2.5%
Other values (5) 34
 
9.5%
Hangul
ValueCountFrequency (%)
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
35
 
7.4%
16
 
3.4%
Other values (28) 143
30.2%
Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T02:12:13.139424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length30.428571
Min length21

Characters and Unicode

Total characters1065
Distinct characters38
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

Unique35 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 감만동 254 번지98 호
2nd row부산광역시 남구 용당동 149 번지1 호
3rd row부산광역시 남구 용당동 168 번지1 호
4th row부산광역시 남구 감만동 498 번지17 호외77필지
5th row부산광역시 남구 용당동 162 번지1 호
ValueCountFrequency (%)
부산광역시 35
16.5%
남구 35
16.5%
20
 
9.4%
대연동 11
 
5.2%
용당동 9
 
4.2%
번지2 5
 
2.4%
문현동 5
 
2.4%
번지1 4
 
1.9%
감만동 4
 
1.9%
번지 3
 
1.4%
Other values (69) 81
38.2%
2023-12-11T02:12:13.645088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
23.2%
1 50
 
4.7%
4 49
 
4.6%
47
 
4.4%
35
 
3.3%
35
 
3.3%
35
 
3.3%
2 35
 
3.3%
35
 
3.3%
35
 
3.3%
Other values (28) 462
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
45.4%
Decimal Number 273
25.6%
Space Separator 247
23.2%
Dash Punctuation 27
 
2.5%
Other Punctuation 13
 
1.2%
Close Punctuation 11
 
1.0%
Open Punctuation 11
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
9.7%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
Other values (13) 121
25.1%
Decimal Number
ValueCountFrequency (%)
1 50
18.3%
4 49
17.9%
2 35
12.8%
7 27
9.9%
8 23
8.4%
5 20
 
7.3%
3 19
 
7.0%
0 18
 
6.6%
6 17
 
6.2%
9 15
 
5.5%
Space Separator
ValueCountFrequency (%)
247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 582
54.6%
Hangul 483
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
9.7%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
Other values (13) 121
25.1%
Common
ValueCountFrequency (%)
247
42.4%
1 50
 
8.6%
4 49
 
8.4%
2 35
 
6.0%
- 27
 
4.6%
7 27
 
4.6%
8 23
 
4.0%
5 20
 
3.4%
3 19
 
3.3%
0 18
 
3.1%
Other values (5) 67
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 582
54.6%
Hangul 483
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
42.4%
1 50
 
8.6%
4 49
 
8.4%
2 35
 
6.0%
- 27
 
4.6%
7 27
 
4.6%
8 23
 
4.0%
5 20
 
3.4%
3 19
 
3.3%
0 18
 
3.1%
Other values (5) 67
 
11.5%
Hangul
ValueCountFrequency (%)
47
 
9.7%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
35
 
7.2%
Other values (13) 121
25.1%

Correlations

2023-12-11T02:12:13.792873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개인법인구분상호영업소소재지(도로명)영업소소재지(지번)
개인법인구분1.0001.0001.0001.000
상호1.0001.0001.0001.000
영업소소재지(도로명)1.0001.0001.0001.000
영업소소재지(지번)1.0001.0001.0001.000

Missing values

2023-12-11T02:12:09.776173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:12:10.052722image/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

사업구분개인법인구분상호영업소소재지(도로명)영업소소재지(지번)
0주유소개인굿오일주유소부산광역시 남구 북항로 108 (감만동)부산광역시 남구 감만동 254 번지98 호
1주유소법인(주)좋은기름나라 북항대교주유소부산광역시 남구 신선로 316 (용당동)부산광역시 남구 용당동 149 번지1 호
2주유소개인내트럭(주)부산용당사업소부산광역시 남구 신선로 261 (용당동)부산광역시 남구 용당동 168 번지1 호
3주유소개인내트럭 하우스 부산사업소 내트럭(주)직영부산광역시 남구 신선로 168 (감만동)부산광역시 남구 감만동 498 번지17 호외77필지
4주유소개인(주)OS에너지 신선대주유소부산광역시 남구 신선로 308 (용당동)부산광역시 남구 용당동 162 번지1 호
5주유소개인금융단지주유소부산광역시 남구 전포대로 75 (문현동)부산광역시 남구 문현동 774 번지2 호외4필지(774-1,774-10,774-40,774-41)
6주유소법인(주)호림에너지(유정주유소)부산광역시 남구 수영로132번길 47 (대연동)부산광역시 남구 대연동 1245 번지12 호
7주유소개인주식회사 대호석유 용당씨와이주유소부산광역시 남구 신선로 392 (용당동)부산광역시 남구 용당동 460 번지2 호
8주유소법인현대오일뱅크(주)직영용당현대주유소부산광역시 남구 신선로 252 (용당동)부산광역시 남구 용당동 206 번지27 호
9주유소개인SK네트웍스(주) 동해주유소부산광역시 남구 수영로 179 (대연동)부산광역시 남구 대연동 1763 번지3 호외2필지(1763-4, 1763-12)
사업구분개인법인구분상호영업소소재지(도로명)영업소소재지(지번)
25주유소법인인터지스(주)부산광역시 남구 신선로 173 (감만동,외 1필지(254-76))부산광역시 남구 감만동 254 번지54 호외 1필지(254-76)
26주유소법인SK네트웍스(주) 박물관주유소부산광역시 남구 유엔로 235 (대연동)부산광역시 남구 대연동 574 번지2 호
27주유소법인와이케이에너지(주)부산광역시 남구 신선로 387 (용당동)부산광역시 남구 용당동 454 번지20 호
28주유소법인지에스칼텍스(주)우암주유소부산광역시 남구 우암로 204 (우암동)부산광역시 남구 우암동 164 번지8 호
29주유소법인지에스칼텍스(주)대연주유소부산광역시 남구 수영로 288 (대연동)부산광역시 남구 대연동 74 번지17 호
30주유소법인에스케이네트웍스(주)명성주유소부산광역시 남구 우암로 232 (우암동)부산광역시 남구 우암동 184 번지348 호
31주유소개인삼화주유소부산광역시 남구 우암로 92 (감만동)부산광역시 남구 감만동 82 번지2 호
32주유소개인동명주유소부산광역시 남구 전포대로 7 (문현동)부산광역시 남구 문현동 807 번지4 호
33주유소법인(주)신선에너지 유엔주유소부산광역시 남구 석포로 134 (대연동,외 2필지(949-12,949-18))부산광역시 남구 대연동 949 번지4 호외 2필지(949-12,949-18)
34주유소개인매일주유소부산광역시 남구 수영로 22 (문현동)부산광역시 남구 문현동 367 번지14 호