Overview

Dataset statistics

Number of variables5
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory44.9 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산광역시해운대구_주유소현황_20230125
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075758

Alerts

구분 has constant value ""Constant
번호 has unique valuesUnique
상호 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:04:39.234333
Analysis finished2023-12-10 16:04:39.790986
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T01:04:39.871109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-11T01:04:40.015698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

상호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:04:40.323297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16.5
Mean length12.470588
Min length5

Characters and Unicode

Total characters424
Distinct characters100
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row(주)세일송정역주유소
2nd row해운대센텀주유소
3rd row현대오일뱅크(주)직영 장산I.C.주유소
4th row지에스칼텍스(주)해운대중동주유소
5th row광신홀딩스(주)반송지점
ValueCountFrequency (%)
주)세일송정역주유소 1
 
2.4%
주)세일구도일주유소센텀시티 1
 
2.4%
직영 1
 
2.4%
센텀셀프주유소 1
 
2.4%
주)os에너지 1
 
2.4%
해변주유소 1
 
2.4%
대양산업(주)동화주유소 1
 
2.4%
sk에너지(주)마리나주유소 1
 
2.4%
에스씨(주)마리나타운주유소 1
 
2.4%
에쓰알디(주)오시리아주유소점 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T01:04:40.735016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
13.4%
36
 
8.5%
31
 
7.3%
( 26
 
6.1%
) 26
 
6.1%
12
 
2.8%
12
 
2.8%
11
 
2.6%
10
 
2.4%
7
 
1.7%
Other values (90) 196
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
82.5%
Open Punctuation 26
 
6.1%
Close Punctuation 26
 
6.1%
Uppercase Letter 12
 
2.8%
Space Separator 7
 
1.7%
Other Punctuation 2
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
16.3%
36
 
10.3%
31
 
8.9%
12
 
3.4%
12
 
3.4%
11
 
3.1%
10
 
2.9%
7
 
2.0%
7
 
2.0%
6
 
1.7%
Other values (80) 161
46.0%
Uppercase Letter
ValueCountFrequency (%)
S 5
41.7%
K 4
33.3%
O 1
 
8.3%
C 1
 
8.3%
I 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
82.5%
Common 62
 
14.6%
Latin 12
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
16.3%
36
 
10.3%
31
 
8.9%
12
 
3.4%
12
 
3.4%
11
 
3.1%
10
 
2.9%
7
 
2.0%
7
 
2.0%
6
 
1.7%
Other values (80) 161
46.0%
Common
ValueCountFrequency (%)
( 26
41.9%
) 26
41.9%
7
 
11.3%
. 2
 
3.2%
- 1
 
1.6%
Latin
ValueCountFrequency (%)
S 5
41.7%
K 4
33.3%
O 1
 
8.3%
C 1
 
8.3%
I 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
82.5%
ASCII 74
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
57
 
16.3%
36
 
10.3%
31
 
8.9%
12
 
3.4%
12
 
3.4%
11
 
3.1%
10
 
2.9%
7
 
2.0%
7
 
2.0%
6
 
1.7%
Other values (80) 161
46.0%
ASCII
ValueCountFrequency (%)
( 26
35.1%
) 26
35.1%
7
 
9.5%
S 5
 
6.8%
K 4
 
5.4%
. 2
 
2.7%
O 1
 
1.4%
- 1
 
1.4%
C 1
 
1.4%
I 1
 
1.4%

소재지
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:04:40.949325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length32.617647
Min length23

Characters and Unicode

Total characters1109
Distinct characters62
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 송정동 109 번지3 호
2nd row부산광역시 해운대구 재송동 826 번지10 호외2필지(801-42,801-43)
3rd row부산광역시 해운대구 좌동 996 번지2 호
4th row부산광역시 해운대구 중동 304 번지3 호외1필지(305-1)
5th row부산광역시 해운대구 반송동 15 번지9 호행복가득셀프주유소
ValueCountFrequency (%)
부산광역시 34
 
16.4%
해운대구 34
 
16.4%
16
 
7.7%
송정동 7
 
3.4%
우동 7
 
3.4%
번지1 6
 
2.9%
번지8 5
 
2.4%
반여동 4
 
1.9%
재송동 4
 
1.9%
중동 4
 
1.9%
Other values (70) 86
41.5%
2023-12-11T01:04:41.332101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
21.7%
1 60
 
5.4%
45
 
4.1%
38
 
3.4%
35
 
3.2%
35
 
3.2%
35
 
3.2%
35
 
3.2%
34
 
3.1%
34
 
3.1%
Other values (52) 517
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 573
51.7%
Decimal Number 243
21.9%
Space Separator 241
21.7%
Dash Punctuation 17
 
1.5%
Open Punctuation 12
 
1.1%
Close Punctuation 12
 
1.1%
Other Punctuation 11
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
7.9%
38
 
6.6%
35
 
6.1%
35
 
6.1%
35
 
6.1%
35
 
6.1%
34
 
5.9%
34
 
5.9%
34
 
5.9%
34
 
5.9%
Other values (37) 214
37.3%
Decimal Number
ValueCountFrequency (%)
1 60
24.7%
2 28
11.5%
5 27
11.1%
0 23
 
9.5%
3 21
 
8.6%
8 20
 
8.2%
6 19
 
7.8%
4 18
 
7.4%
7 14
 
5.8%
9 13
 
5.3%
Space Separator
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 573
51.7%
Common 536
48.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
7.9%
38
 
6.6%
35
 
6.1%
35
 
6.1%
35
 
6.1%
35
 
6.1%
34
 
5.9%
34
 
5.9%
34
 
5.9%
34
 
5.9%
Other values (37) 214
37.3%
Common
ValueCountFrequency (%)
241
45.0%
1 60
 
11.2%
2 28
 
5.2%
5 27
 
5.0%
0 23
 
4.3%
3 21
 
3.9%
8 20
 
3.7%
6 19
 
3.5%
4 18
 
3.4%
- 17
 
3.2%
Other values (5) 62
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 573
51.7%
ASCII 536
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
45.0%
1 60
 
11.2%
2 28
 
5.2%
5 27
 
5.0%
0 23
 
4.3%
3 21
 
3.9%
8 20
 
3.7%
6 19
 
3.5%
4 18
 
3.4%
- 17
 
3.2%
Other values (5) 62
 
11.6%
Hangul
ValueCountFrequency (%)
45
 
7.9%
38
 
6.6%
35
 
6.1%
35
 
6.1%
35
 
6.1%
35
 
6.1%
34
 
5.9%
34
 
5.9%
34
 
5.9%
34
 
5.9%
Other values (37) 214
37.3%

연락처
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:04:41.560614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row051-717-3070
2nd row051-784-5182
3rd row051-704-5188
4th row051-731-5713
5th row051-545-2741
ValueCountFrequency (%)
051-717-3070 1
 
2.9%
051-784-5182 1
 
2.9%
051-784-0293 1
 
2.9%
051-747-7780 1
 
2.9%
051-781-4400 1
 
2.9%
051-747-5181 1
 
2.9%
051-741-7030 1
 
2.9%
051-703-3443 1
 
2.9%
051-783-8660 1
 
2.9%
051-545-5151 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T01:04:41.961406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
1 66
16.2%
5 64
15.7%
0 60
14.7%
7 41
10.0%
4 33
8.1%
8 22
 
5.4%
3 21
 
5.1%
2 19
 
4.7%
6 7
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
19.4%
5 64
18.8%
0 60
17.6%
7 41
12.1%
4 33
9.7%
8 22
 
6.5%
3 21
 
6.2%
2 19
 
5.6%
6 7
 
2.1%
9 7
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
1 66
16.2%
5 64
15.7%
0 60
14.7%
7 41
10.0%
4 33
8.1%
8 22
 
5.4%
3 21
 
5.1%
2 19
 
4.7%
6 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
1 66
16.2%
5 64
15.7%
0 60
14.7%
7 41
10.0%
4 33
8.1%
8 22
 
5.4%
3 21
 
5.1%
2 19
 
4.7%
6 7
 
1.7%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
주유소
34 

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 34
100.0%

Length

2023-12-11T01:04:42.168100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:04:42.281049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 34
100.0%

Interactions

2023-12-11T01:04:39.477509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:04:42.354943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호상호소재지연락처
번호1.0001.0001.0001.000
상호1.0001.0001.0001.000
소재지1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-11T01:04:39.639642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:04:39.747498image/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

번호상호소재지연락처구분
01(주)세일송정역주유소부산광역시 해운대구 송정동 109 번지3 호051-717-3070주유소
12해운대센텀주유소부산광역시 해운대구 재송동 826 번지10 호외2필지(801-42,801-43)051-784-5182주유소
23현대오일뱅크(주)직영 장산I.C.주유소부산광역시 해운대구 좌동 996 번지2 호051-704-5188주유소
34지에스칼텍스(주)해운대중동주유소부산광역시 해운대구 중동 304 번지3 호외1필지(305-1)051-731-5713주유소
45광신홀딩스(주)반송지점부산광역시 해운대구 반송동 15 번지9 호행복가득셀프주유소051-545-2741주유소
56(주)은성석유반송제일주유소부산광역시 해운대구 석대동 7 번지9 호051-531-3885주유소
67(주)조은하루주유소부산광역시 해운대구 우동 837 번지8 호조은하루 주유소051-741-5189주유소
78양천석유(주) 덕진셀프주유소 반송점부산광역시 해운대구 석대동 7 번지8 호051-531-5151주유소
89삼양주유소부산광역시 해운대구 송정동 73 번지5 호051-704-5149주유소
910반송파크주유소부산광역시 해운대구 반송동 730 번지1 호051-545-5151주유소
번호상호소재지연락처구분
2425해운대주유소부산광역시 해운대구 중동 1520 번지15 호051-747-2526주유소
2526신촌셀프주유소부산광역시 해운대구 반여동 1249 번지11 호051-528-6612주유소
2627동해주유소부산광역시 해운대구 재송동 1034 번지22 호051-783-8660주유소
2728에쓰알디(주)오시리아주유소점부산광역시 해운대구 송정동 86 번지7 호외3필지(86-13,14,15)051-703-3443주유소
2829에스씨(주)마리나타운주유소부산광역시 해운대구 우동 1398 번지1 호051-741-7030주유소
2930SK에너지(주)마리나주유소부산광역시 해운대구 우동 1129 번지5 호외4필지(1129-24,27,30, 1118-10)051-747-5181주유소
3031대양산업(주)동화주유소부산광역시 해운대구 재송동 658 번지1 호외4필지(652-6,652-8,660-14,660-15)051-781-4400주유소
3132(주)OS에너지 해변주유소부산광역시 해운대구 우동 641 번지1 호051-747-7780주유소
3233현대오일뱅크(주) 직영 센텀셀프주유소부산광역시 해운대구 재송동 367 번지1 호051-784-0293주유소
3334SK에너지(주)송정셀프주유소부산광역시 해운대구 송정동 157 번지3 호외2필지(157-4,6)051-704-0011주유소