Overview

Dataset statistics

Number of variables5
Number of observations64
Missing cells3
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory42.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_사상구_석유판매업현황_20231010
Author부산광역시 사상구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025855

Alerts

전화번호 has 3 (4.7%) missing valuesMissing
상호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:50:30.139618
Analysis finished2023-12-10 16:50:30.962560
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종구분
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
주유소
46 
일반판매소
14 
용제판매소
 
4

Length

Max length5
Median length3
Mean length3.5625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 46
71.9%
일반판매소 14
 
21.9%
용제판매소 4
 
6.2%

Length

2023-12-11T01:50:31.033305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:50:31.152589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 46
71.9%
일반판매소 14
 
21.9%
용제판매소 4
 
6.2%

상호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T01:50:31.409188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.546875
Min length4

Characters and Unicode

Total characters547
Distinct characters122
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row스마트주유소
2nd row대흥주유소
3rd row(주)지엠지 우경주유소
4th row(주)성은에너지 제3주유소
5th row서부산IC주유소
ValueCountFrequency (%)
지에스칼텍스(주 2
 
2.4%
주)덕양에너지 2
 
2.4%
직영 2
 
2.4%
광신홀딩스(주 2
 
2.4%
주)성은에너지 2
 
2.4%
감전주유소 2
 
2.4%
구덕산주유소 1
 
1.2%
도매주유소 1
 
1.2%
부영석유(주 1
 
1.2%
모라주유소 1
 
1.2%
Other values (69) 69
81.2%
2023-12-11T01:50:31.903517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 70
 
12.8%
유 62
 
11.3%
소 46
 
8.4%
( 24
 
4.4%
) 24
 
4.4%
21
 
3.8%
지 16
 
2.9%
에 15
 
2.7%
석 13
 
2.4%
영 11
 
2.0%
Other values (112) 245
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 473
86.5%
Open Punctuation 24
 
4.4%
Close Punctuation 24
 
4.4%
Space Separator 21
 
3.8%
Decimal Number 3
 
0.5%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 70
 
14.8%
유 62
 
13.1%
소 46
 
9.7%
지 16
 
3.4%
에 15
 
3.2%
석 13
 
2.7%
영 11
 
2.3%
너 10
 
2.1%
스 9
 
1.9%
대 8
 
1.7%
Other values (105) 213
45.0%
Decimal Number
ValueCountFrequency (%)
8 2
66.7%
3 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 473
86.5%
Common 72
 
13.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 70
 
14.8%
유 62
 
13.1%
소 46
 
9.7%
지 16
 
3.4%
에 15
 
3.2%
석 13
 
2.7%
영 11
 
2.3%
너 10
 
2.1%
스 9
 
1.9%
대 8
 
1.7%
Other values (105) 213
45.0%
Common
ValueCountFrequency (%)
( 24
33.3%
) 24
33.3%
21
29.2%
8 2
 
2.8%
3 1
 
1.4%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 473
86.5%
ASCII 74
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 70
 
14.8%
유 62
 
13.1%
소 46
 
9.7%
지 16
 
3.4%
에 15
 
3.2%
석 13
 
2.7%
영 11
 
2.3%
너 10
 
2.1%
스 9
 
1.9%
대 8
 
1.7%
Other values (105) 213
45.0%
ASCII
ValueCountFrequency (%)
( 24
32.4%
) 24
32.4%
21
28.4%
8 2
 
2.7%
3 1
 
1.4%
I 1
 
1.4%
C 1
 
1.4%

대표자
Text

Distinct60
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T01:50:32.169969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.90625
Min length3

Characters and Unicode

Total characters250
Distinct characters99
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)89.1%

Sample

1st row이철용
2nd row이병극
3rd row박영우
4th row김치욱
5th row주영돈
ValueCountFrequency (%)
최우형 3
 
4.5%
허세홍 2
 
3.0%
박지호 2
 
3.0%
강수경 1
 
1.5%
양근동 1
 
1.5%
오미란 1
 
1.5%
신기찬 1
 
1.5%
김우영 1
 
1.5%
이철용 1
 
1.5%
강춘영 1
 
1.5%
Other values (52) 52
78.8%
2023-12-11T01:50:32.625918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
5.2%
김 10
 
4.0%
) 9
 
3.6%
( 9
 
3.6%
영 9
 
3.6%
우 8
 
3.2%
호 8
 
3.2%
주 8
 
3.2%
최 6
 
2.4%
현 6
 
2.4%
Other values (89) 164
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
91.6%
Close Punctuation 9
 
3.6%
Open Punctuation 9
 
3.6%
Space Separator 2
 
0.8%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
5.7%
김 10
 
4.4%
영 9
 
3.9%
우 8
 
3.5%
호 8
 
3.5%
주 8
 
3.5%
최 6
 
2.6%
현 6
 
2.6%
성 6
 
2.6%
정 6
 
2.6%
Other values (85) 149
65.1%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
92.0%
Common 20
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
5.7%
김 10
 
4.3%
영 9
 
3.9%
우 8
 
3.5%
호 8
 
3.5%
주 8
 
3.5%
최 6
 
2.6%
현 6
 
2.6%
성 6
 
2.6%
정 6
 
2.6%
Other values (86) 150
65.2%
Common
ValueCountFrequency (%)
) 9
45.0%
( 9
45.0%
2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
91.6%
ASCII 20
 
8.0%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
5.7%
김 10
 
4.4%
영 9
 
3.9%
우 8
 
3.5%
호 8
 
3.5%
주 8
 
3.5%
최 6
 
2.6%
현 6
 
2.6%
성 6
 
2.6%
정 6
 
2.6%
Other values (85) 149
65.1%
ASCII
ValueCountFrequency (%)
) 9
45.0%
( 9
45.0%
2
 
10.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T01:50:32.928460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length43
Mean length25.15625
Min length16

Characters and Unicode

Total characters1610
Distinct characters70
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

Unique64 ?
Unique (%)100.0%

Sample

1st row부산광역시 사상구 가야대로 377 (주례동)
2nd row부산광역시 사상구 새벽로 2 (학장동)
3rd row부산광역시 사상구 백양대로 477 (주례동)
4th row부산광역시 사상구 강변대로 412 (엄궁동)
5th row부산광역시 사상구 학감대로 170 (학장동)
ValueCountFrequency (%)
부산광역시 64
19.3%
사상구 63
19.0%
감전동 17
 
5.1%
주례동 15
 
4.5%
낙동대로 15
 
4.5%
학장동 10
 
3.0%
가야대로 8
 
2.4%
엄궁동 7
 
2.1%
학감대로 7
 
2.1%
삼락동 7
 
2.1%
Other values (96) 118
35.6%
2023-12-11T01:50:33.367817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
17.0%
동 84
 
5.2%
상 68
 
4.2%
산 68
 
4.2%
시 67
 
4.2%
사 66
 
4.1%
부 65
 
4.0%
광 64
 
4.0%
역 64
 
4.0%
구 64
 
4.0%
Other values (60) 727
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 994
61.7%
Space Separator 273
 
17.0%
Decimal Number 221
 
13.7%
Open Punctuation 60
 
3.7%
Close Punctuation 60
 
3.7%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 84
 
8.5%
상 68
 
6.8%
산 68
 
6.8%
시 67
 
6.7%
사 66
 
6.6%
부 65
 
6.5%
광 64
 
6.4%
역 64
 
6.4%
구 64
 
6.4%
로 60
 
6.0%
Other values (46) 324
32.6%
Decimal Number
ValueCountFrequency (%)
1 36
16.3%
2 31
14.0%
0 25
11.3%
4 24
10.9%
7 22
10.0%
9 20
9.0%
3 20
9.0%
5 18
8.1%
6 13
 
5.9%
8 12
 
5.4%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 994
61.7%
Common 616
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 84
 
8.5%
상 68
 
6.8%
산 68
 
6.8%
시 67
 
6.7%
사 66
 
6.6%
부 65
 
6.5%
광 64
 
6.4%
역 64
 
6.4%
구 64
 
6.4%
로 60
 
6.0%
Other values (46) 324
32.6%
Common
ValueCountFrequency (%)
273
44.3%
( 60
 
9.7%
) 60
 
9.7%
1 36
 
5.8%
2 31
 
5.0%
0 25
 
4.1%
4 24
 
3.9%
7 22
 
3.6%
9 20
 
3.2%
3 20
 
3.2%
Other values (4) 45
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 994
61.7%
ASCII 616
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
44.3%
( 60
 
9.7%
) 60
 
9.7%
1 36
 
5.8%
2 31
 
5.0%
0 25
 
4.1%
4 24
 
3.9%
7 22
 
3.6%
9 20
 
3.2%
3 20
 
3.2%
Other values (4) 45
 
7.3%
Hangul
ValueCountFrequency (%)
동 84
 
8.5%
상 68
 
6.8%
산 68
 
6.8%
시 67
 
6.7%
사 66
 
6.6%
부 65
 
6.5%
광 64
 
6.4%
역 64
 
6.4%
구 64
 
6.4%
로 60
 
6.0%
Other values (46) 324
32.6%

전화번호
Text

MISSING 

Distinct60
Distinct (%)98.4%
Missing3
Missing (%)4.7%
Memory size644.0 B
2023-12-11T01:50:33.907220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
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

Unique59 ?
Unique (%)96.7%

Sample

1st row051-441-5152
2nd row051-312-2577
3rd row051-314-8300
4th row051-314-4027
5th row051-328-5189
ValueCountFrequency (%)
051-312-5252 2
 
3.3%
051-325-1200 1
 
1.6%
051-315-4124 1
 
1.6%
051-328-6402 1
 
1.6%
051-321-1445 1
 
1.6%
051-303-8239 1
 
1.6%
051-317-1235 1
 
1.6%
051-317-5656 1
 
1.6%
051-324-3502 1
 
1.6%
051-322-7181 1
 
1.6%
Other values (50) 50
82.0%
2023-12-11T01:50:34.319317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 130
17.8%
- 122
16.7%
5 108
14.8%
0 106
14.5%
3 85
11.6%
2 61
8.3%
4 34
 
4.6%
8 32
 
4.4%
7 23
 
3.1%
6 18
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 130
21.3%
5 108
17.7%
0 106
17.4%
3 85
13.9%
2 61
10.0%
4 34
 
5.6%
8 32
 
5.2%
7 23
 
3.8%
6 18
 
3.0%
9 13
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 130
17.8%
- 122
16.7%
5 108
14.8%
0 106
14.5%
3 85
11.6%
2 61
8.3%
4 34
 
4.6%
8 32
 
4.4%
7 23
 
3.1%
6 18
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 130
17.8%
- 122
16.7%
5 108
14.8%
0 106
14.5%
3 85
11.6%
2 61
8.3%
4 34
 
4.6%
8 32
 
4.4%
7 23
 
3.1%
6 18
 
2.5%

Correlations

2023-12-11T01:50:34.449260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구분상호대표자소재지전화번호
업종구분1.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0000.991
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0000.9911.0001.000

Missing values

2023-12-11T01:50:30.754974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:50:30.908587image/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

업종구분상호대표자소재지전화번호
0주유소스마트주유소이철용부산광역시 사상구 가야대로 377 (주례동)051-441-5152
1주유소대흥주유소이병극부산광역시 사상구 새벽로 2 (학장동)051-312-2577
2주유소(주)지엠지 우경주유소박영우부산광역시 사상구 백양대로 477 (주례동)051-314-8300
3주유소(주)성은에너지 제3주유소김치욱부산광역시 사상구 강변대로 412 (엄궁동)051-314-4027
4주유소서부산IC주유소주영돈부산광역시 사상구 학감대로 170 (학장동)051-328-5189
5주유소원주유소이현우부산광역시 사상구 백양대로 349 (주례동)051-791-2847
6주유소건영주유소김동현부산광역시 사상구 가야대로 63 (감전동)051-328-5182
7주유소(주)호림에너지직영 호림주유소(주)호림에너지(이인호)부산광역시 사상구 낙동대로 669 (엄궁동)051-317-5189
8주유소광신석유(주) 가야대로주유소최우형부산광역시 사상구 가야대로 395 (주례동)051-313-6003
9주유소성경주유소조영재부산광역시 사상구 모덕로 69 (모라동)051-304-5100
업종구분상호대표자소재지전화번호
54일반판매소희망석유천명자부산광역시 사상구 백양대로445번길 2 (주례동)051-312-5252
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