Overview

Dataset statistics

Number of variables5
Number of observations62
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory42.1 B

Variable types

Categorical1
Text4

Dataset

Description사상구 관내 석유판매업현황에 대한 정보로 석유판매업(주유소, 일반판매소, 용제판매소)에 대한 업종구분, 업소명, 소재지, 전화번호를 제공합니다.
Author부산광역시 사상구
URLhttps://www.data.go.kr/data/15025855/fileData.do

Alerts

전화번호 has 2 (3.2%) missing valuesMissing
상호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:02:24.402806
Analysis finished2024-04-21 01:02:26.345382
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종구분
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
주유소
45 
일반판매소
14 
용제판매소
 
3

Length

Max length5
Median length3
Mean length3.5483871
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 45
72.6%
일반판매소 14
 
22.6%
용제판매소 3
 
4.8%

Length

2024-04-21T10:02:26.410676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:02:26.500085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 45
72.6%
일반판매소 14
 
22.6%
용제판매소 3
 
4.8%

상호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-04-21T10:02:26.719887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.8870968
Min length4

Characters and Unicode

Total characters551
Distinct characters131
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row남경에너지
2nd row사상에너지
3rd row한양에너지
4th row스마트주유소
5th row대흥주유소
ValueCountFrequency (%)
지에스칼텍스(주 2
 
2.3%
광신홀딩스(주 2
 
2.3%
감전주유소 2
 
2.3%
주)성은에너지 2
 
2.3%
주)덕양에너지 2
 
2.3%
직영 2
 
2.3%
남경에너지 1
 
1.1%
직영주유소 1
 
1.1%
가락타운주유소 1
 
1.1%
구룡주유소 1
 
1.1%
Other values (72) 72
81.8%
2024-04-21T10:02:27.084924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
12.2%
유 59
 
10.7%
소 44
 
8.0%
26
 
4.7%
) 22
 
4.0%
( 22
 
4.0%
에 17
 
3.1%
지 16
 
2.9%
석 13
 
2.4%
너 11
 
2.0%
Other values (121) 254
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
86.0%
Space Separator 26
 
4.7%
Close Punctuation 22
 
4.0%
Open Punctuation 22
 
4.0%
Decimal Number 4
 
0.7%
Uppercase Letter 2
 
0.4%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
14.1%
유 59
 
12.4%
소 44
 
9.3%
에 17
 
3.6%
지 16
 
3.4%
석 13
 
2.7%
너 11
 
2.3%
스 10
 
2.1%
영 10
 
2.1%
사 8
 
1.7%
Other values (112) 219
46.2%
Decimal Number
ValueCountFrequency (%)
8 2
50.0%
1 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
86.2%
Common 74
 
13.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
14.1%
유 59
 
12.4%
소 44
 
9.3%
에 17
 
3.6%
지 16
 
3.4%
석 13
 
2.7%
너 11
 
2.3%
스 10
 
2.1%
영 10
 
2.1%
사 8
 
1.7%
Other values (113) 220
46.3%
Common
ValueCountFrequency (%)
26
35.1%
) 22
29.7%
( 22
29.7%
8 2
 
2.7%
1 1
 
1.4%
3 1
 
1.4%
Latin
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
86.0%
ASCII 76
 
13.8%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
14.1%
유 59
 
12.4%
소 44
 
9.3%
에 17
 
3.6%
지 16
 
3.4%
석 13
 
2.7%
너 11
 
2.3%
스 10
 
2.1%
영 10
 
2.1%
사 8
 
1.7%
Other values (112) 219
46.2%
ASCII
ValueCountFrequency (%)
26
34.2%
) 22
28.9%
( 22
28.9%
8 2
 
2.6%
1 1
 
1.3%
C 1
 
1.3%
I 1
 
1.3%
3 1
 
1.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

Distinct57
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-04-21T10:02:27.296850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.9354839
Min length3

Characters and Unicode

Total characters244
Distinct characters100
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

Unique53 ?
Unique (%)85.5%

Sample

1st row정찬순
2nd row한태근
3rd row성기복
4th row이철용
5th row이병극
ValueCountFrequency (%)
최우형 3
 
4.7%
박지호 2
 
3.1%
허세홍 2
 
3.1%
이철용 2
 
3.1%
공병근 1
 
1.6%
주식회사 1
 
1.6%
제이와이비젼(김윤영 1
 
1.6%
정호철 1
 
1.6%
김재현 1
 
1.6%
서진훈 1
 
1.6%
Other values (49) 49
76.6%
2024-04-21T10:02:27.604143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 15
 
6.1%
) 9
 
3.7%
( 9
 
3.7%
김 9
 
3.7%
영 9
 
3.7%
우 8
 
3.3%
호 8
 
3.3%
주 7
 
2.9%
최 6
 
2.5%
정 6
 
2.5%
Other values (90) 158
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
91.4%
Close Punctuation 9
 
3.7%
Open Punctuation 9
 
3.7%
Space Separator 2
 
0.8%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 15
 
6.7%
김 9
 
4.0%
영 9
 
4.0%
우 8
 
3.6%
호 8
 
3.6%
주 7
 
3.1%
최 6
 
2.7%
정 6
 
2.7%
성 6
 
2.7%
훈 5
 
2.2%
Other values (86) 144
64.6%
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 224
91.8%
Common 20
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 15
 
6.7%
김 9
 
4.0%
영 9
 
4.0%
우 8
 
3.6%
호 8
 
3.6%
주 7
 
3.1%
최 6
 
2.7%
정 6
 
2.7%
성 6
 
2.7%
훈 5
 
2.2%
Other values (87) 145
64.7%
Common
ValueCountFrequency (%)
) 9
45.0%
( 9
45.0%
2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
91.4%
ASCII 20
 
8.2%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 15
 
6.7%
김 9
 
4.0%
영 9
 
4.0%
우 8
 
3.6%
호 8
 
3.6%
주 7
 
3.1%
최 6
 
2.7%
정 6
 
2.7%
성 6
 
2.7%
훈 5
 
2.2%
Other values (86) 144
64.6%
ASCII
ValueCountFrequency (%)
) 9
45.0%
( 9
45.0%
2
 
10.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-04-21T10:02:27.819459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.435484
Min length21

Characters and Unicode

Total characters1515
Distinct characters54
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

Unique60 ?
Unique (%)96.8%

Sample

1st row부산광역시 사상구 새벽시장로 43 (감전동)
2nd row부산광역시 사상구 낙동대로1264번길 16 (삼락동)
3rd row부산광역시 사상구 낙동대로1452번길 60 (삼락동)
4th row부산광역시 사상구 가야대로 377 (주례동)
5th row부산광역시 사상구 새벽로 2 (학장동)
ValueCountFrequency (%)
부산광역시 62
20.0%
사상구 62
20.0%
감전동 17
 
5.5%
낙동대로 15
 
4.8%
주례동 14
 
4.5%
학장동 10
 
3.2%
가야대로 8
 
2.6%
삼락동 7
 
2.3%
학감대로 7
 
2.3%
엄궁동 7
 
2.3%
Other values (80) 101
32.6%
2024-04-21T10:02:28.148224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
16.4%
동 80
 
5.3%
시 65
 
4.3%
사 65
 
4.3%
상 65
 
4.3%
산 63
 
4.2%
로 62
 
4.1%
) 62
 
4.1%
( 62
 
4.1%
부 62
 
4.1%
Other values (44) 681
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
62.0%
Space Separator 248
 
16.4%
Decimal Number 201
 
13.3%
Close Punctuation 62
 
4.1%
Open Punctuation 62
 
4.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
 
8.5%
시 65
 
6.9%
사 65
 
6.9%
상 65
 
6.9%
산 63
 
6.7%
로 62
 
6.6%
부 62
 
6.6%
구 62
 
6.6%
역 62
 
6.6%
광 62
 
6.6%
Other values (30) 292
31.1%
Decimal Number
ValueCountFrequency (%)
1 33
16.4%
4 24
11.9%
0 23
11.4%
2 22
10.9%
7 21
10.4%
9 19
9.5%
3 19
9.5%
5 15
7.5%
6 13
 
6.5%
8 12
 
6.0%
Space Separator
ValueCountFrequency (%)
248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 940
62.0%
Common 575
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
 
8.5%
시 65
 
6.9%
사 65
 
6.9%
상 65
 
6.9%
산 63
 
6.7%
로 62
 
6.6%
부 62
 
6.6%
구 62
 
6.6%
역 62
 
6.6%
광 62
 
6.6%
Other values (30) 292
31.1%
Common
ValueCountFrequency (%)
248
43.1%
) 62
 
10.8%
( 62
 
10.8%
1 33
 
5.7%
4 24
 
4.2%
0 23
 
4.0%
2 22
 
3.8%
7 21
 
3.7%
9 19
 
3.3%
3 19
 
3.3%
Other values (4) 42
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
62.0%
ASCII 575
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
43.1%
) 62
 
10.8%
( 62
 
10.8%
1 33
 
5.7%
4 24
 
4.2%
0 23
 
4.0%
2 22
 
3.8%
7 21
 
3.7%
9 19
 
3.3%
3 19
 
3.3%
Other values (4) 42
 
7.3%
Hangul
ValueCountFrequency (%)
동 80
 
8.5%
시 65
 
6.9%
사 65
 
6.9%
상 65
 
6.9%
산 63
 
6.7%
로 62
 
6.6%
부 62
 
6.6%
구 62
 
6.6%
역 62
 
6.6%
광 62
 
6.6%
Other values (30) 292
31.1%

전화번호
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing2
Missing (%)3.2%
Memory size628.0 B
2024-04-21T10:02:28.360927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters720
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

Unique60 ?
Unique (%)100.0%

Sample

1st row051-327-7153
2nd row051-441-5152
3rd row051-312-2577
4th row051-314-8300
5th row051-314-4027
ValueCountFrequency (%)
051-327-7153 1
 
1.7%
051-441-5152 1
 
1.7%
051-305-0629 1
 
1.7%
051-328-2270 1
 
1.7%
051-301-2412 1
 
1.7%
051-311-6114 1
 
1.7%
051-324-0105 1
 
1.7%
051-326-3498 1
 
1.7%
051-311-9171 1
 
1.7%
051-316-4360 1
 
1.7%
Other values (50) 50
83.3%
2024-04-21T10:02:28.671551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 131
18.2%
- 120
16.7%
0 108
15.0%
5 103
14.3%
3 85
11.8%
2 59
8.2%
4 32
 
4.4%
7 25
 
3.5%
8 24
 
3.3%
6 17
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
83.3%
Dash Punctuation 120
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 131
21.8%
0 108
18.0%
5 103
17.2%
3 85
14.2%
2 59
9.8%
4 32
 
5.3%
7 25
 
4.2%
8 24
 
4.0%
6 17
 
2.8%
9 16
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 131
18.2%
- 120
16.7%
0 108
15.0%
5 103
14.3%
3 85
11.8%
2 59
8.2%
4 32
 
4.4%
7 25
 
3.5%
8 24
 
3.3%
6 17
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 131
18.2%
- 120
16.7%
0 108
15.0%
5 103
14.3%
3 85
11.8%
2 59
8.2%
4 32
 
4.4%
7 25
 
3.5%
8 24
 
3.3%
6 17
 
2.4%

Correlations

2024-04-21T10:02:28.760343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구분상호대표자소재지전화번호
업종구분1.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.000
대표자1.0001.0001.0000.9911.000
소재지1.0001.0000.9911.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-04-21T10:02:26.192816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:02:26.309960image/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
0일반판매소남경에너지정찬순부산광역시 사상구 새벽시장로 43 (감전동)<NA>
1일반판매소사상에너지한태근부산광역시 사상구 낙동대로1264번길 16 (삼락동)<NA>
2일반판매소한양에너지성기복부산광역시 사상구 낙동대로1452번길 60 (삼락동)051-327-7153
3주유소스마트주유소이철용부산광역시 사상구 가야대로 377 (주례동)051-441-5152
4주유소대흥주유소이병극부산광역시 사상구 새벽로 2 (학장동)051-312-2577
5주유소(주)지엠지 우경주유소박영우부산광역시 사상구 백양대로 477 (주례동)051-314-8300
6주유소(주)성은에너지 제3주유소김치욱부산광역시 사상구 강변대로 412 (엄궁동)051-314-4027
7주유소서부산IC주유소주영돈부산광역시 사상구 학감대로 170 (학장동)051-328-5189
8주유소원주유소이현우부산광역시 사상구 백양대로 349 (주례동)051-791-2847
9주유소㈜젤코바에너지이용남부산광역시 사상구 가야대로 63 (감전동)051-328-5182
업종구분상호대표자소재지전화번호
52일반판매소대원석유상사이상화부산광역시 사상구 모라로 28 (모라동)051-303-0051
53주유소에스씨(주) 새문주유소에스씨(주)(이성우)부산광역시 사상구 학감대로 30 (학장동)051-324-3502
54주유소(주)덕양에너지 직영 구덕산주유소박지호부산광역시 사상구 학감대로 98 (학장동)051-323-9890
55주유소에이치디현대오일뱅크(주)직영 감전주유소주영민부산광역시 사상구 낙동대로 978 (감전동)051-315-6362
56주유소산업주유소정재용부산광역시 사상구 낙동대로 873 (감전동)051-311-4305
57주유소모라주유소견승훈부산광역시 사상구 사상로 456 (모라동)051-303-9972
58주유소부영석유(주) 도매주유소양근동부산광역시 사상구 가야대로 10 (감전동)051-315-1117
59주유소지에스칼텍스(주) 서부주유소허세홍부산광역시 사상구 낙동대로 1380 (삼락동)051-304-8873
60주유소지에스칼텍스(주) 대풍주유소허세홍부산광역시 사상구 가야대로 81 (감전동)051-315-4124
61주유소광신홀딩스(주) 감전주유소최우형부산광역시 사상구 낙동대로 1070 (감전동)051-328-6402