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
Text2
Categorical1

Dataset

Description부산광역시_사하구_주유소현황_20230424
Author부산광역시 사하구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3045777

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:01:06.746132
Analysis finished2023-12-10 17:01:07.360196
Duration0.61 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
2023-12-11T02:01:07.463702image/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
2023-12-11T02:01:07.663310image/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%

상호명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:01:08.020210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length9.65625
Min length5

Characters and Unicode

Total characters309
Distinct characters87
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row에스씨㈜ 감천주유소
2nd row장림주유소
3rd row동광에너콤 신평주유소
4th row대양석유㈜SK괴정주유소
5th rowSK에너지㈜ 국영셀프주유소
ValueCountFrequency (%)
광신석유㈜ 2
 
4.1%
에스씨㈜ 1
 
2.0%
을숙도대로주유소 1
 
2.0%
㈜천일에너지 1
 
2.0%
대진주유소 1
 
2.0%
대경주유소 1
 
2.0%
대창제1주유소 1
 
2.0%
씨제이대한통운㈜ 1
 
2.0%
직영 1
 
2.0%
장평주유소 1
 
2.0%
Other values (38) 38
77.6%
2023-12-11T02:01:08.576922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 37
 
12.0%
주 32
 
10.4%
소 31
 
10.0%
㈜ 17
 
5.5%
17
 
5.5%
대 11
 
3.6%
에 10
 
3.2%
지 7
 
2.3%
스 6
 
1.9%
너 6
 
1.9%
Other values (77) 135
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
87.4%
Other Symbol 17
 
5.5%
Space Separator 17
 
5.5%
Uppercase Letter 4
 
1.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 37
 
13.7%
주 32
 
11.9%
소 31
 
11.5%
대 11
 
4.1%
에 10
 
3.7%
지 7
 
2.6%
스 6
 
2.2%
너 6
 
2.2%
석 5
 
1.9%
동 4
 
1.5%
Other values (72) 121
44.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
K 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
92.9%
Common 18
 
5.8%
Latin 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 37
 
12.9%
주 32
 
11.1%
소 31
 
10.8%
㈜ 17
 
5.9%
대 11
 
3.8%
에 10
 
3.5%
지 7
 
2.4%
스 6
 
2.1%
너 6
 
2.1%
석 5
 
1.7%
Other values (73) 125
43.6%
Common
ValueCountFrequency (%)
17
94.4%
1 1
 
5.6%
Latin
ValueCountFrequency (%)
S 2
50.0%
K 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
87.4%
ASCII 22
 
7.1%
None 17
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 37
 
13.7%
주 32
 
11.9%
소 31
 
11.5%
대 11
 
4.1%
에 10
 
3.7%
지 7
 
2.6%
스 6
 
2.2%
너 6
 
2.2%
석 5
 
1.9%
동 4
 
1.5%
Other values (72) 121
44.8%
None
ValueCountFrequency (%)
㈜ 17
100.0%
ASCII
ValueCountFrequency (%)
17
77.3%
S 2
 
9.1%
K 2
 
9.1%
1 1
 
4.5%

도로명주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T02:01:08.959692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length22.78125
Min length21

Characters and Unicode

Total characters729
Distinct characters45
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row부산광역시 사하구 감천로 79(감천동)
2nd row부산광역시 사하구 장림로 287(장림동)
3rd row부산광역시 사하구 하신중앙로 166(신평동)
4th row부산광역시 사하구 사하로 129(괴정동)
5th row부산광역시 사하구 장림번영로 7(장림동)
ValueCountFrequency (%)
부산광역시 32
25.0%
사하구 32
25.0%
을숙도대로 7
 
5.5%
다대로 5
 
3.9%
하신중앙로 4
 
3.1%
감천항로 4
 
3.1%
낙동대로 4
 
3.1%
사하로 2
 
1.6%
583(신평동 2
 
1.6%
장평로 2
 
1.6%
Other values (34) 34
26.6%
2023-12-11T02:01:09.464232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
13.2%
하 39
 
5.3%
구 38
 
5.2%
동 36
 
4.9%
사 34
 
4.7%
부 32
 
4.4%
산 32
 
4.4%
) 32
 
4.4%
로 32
 
4.4%
( 32
 
4.4%
Other values (35) 326
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
65.8%
Space Separator 96
 
13.2%
Decimal Number 89
 
12.2%
Close Punctuation 32
 
4.4%
Open Punctuation 32
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 39
 
8.1%
구 38
 
7.9%
동 36
 
7.5%
사 34
 
7.1%
부 32
 
6.7%
산 32
 
6.7%
로 32
 
6.7%
시 32
 
6.7%
역 32
 
6.7%
광 32
 
6.7%
Other values (22) 141
29.4%
Decimal Number
ValueCountFrequency (%)
2 14
15.7%
1 14
15.7%
5 13
14.6%
7 11
12.4%
3 8
9.0%
6 7
7.9%
0 6
6.7%
8 6
6.7%
9 5
 
5.6%
4 5
 
5.6%
Space Separator
ValueCountFrequency (%)
96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
65.8%
Common 249
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 39
 
8.1%
구 38
 
7.9%
동 36
 
7.5%
사 34
 
7.1%
부 32
 
6.7%
산 32
 
6.7%
로 32
 
6.7%
시 32
 
6.7%
역 32
 
6.7%
광 32
 
6.7%
Other values (22) 141
29.4%
Common
ValueCountFrequency (%)
96
38.6%
) 32
 
12.9%
( 32
 
12.9%
2 14
 
5.6%
1 14
 
5.6%
5 13
 
5.2%
7 11
 
4.4%
3 8
 
3.2%
6 7
 
2.8%
0 6
 
2.4%
Other values (3) 16
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
65.8%
ASCII 249
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
38.6%
) 32
 
12.9%
( 32
 
12.9%
2 14
 
5.6%
1 14
 
5.6%
5 13
 
5.2%
7 11
 
4.4%
3 8
 
3.2%
6 7
 
2.8%
0 6
 
2.4%
Other values (3) 16
 
6.4%
Hangul
ValueCountFrequency (%)
하 39
 
8.1%
구 38
 
7.9%
동 36
 
7.5%
사 34
 
7.1%
부 32
 
6.7%
산 32
 
6.7%
로 32
 
6.7%
시 32
 
6.7%
역 32
 
6.7%
광 32
 
6.7%
Other values (22) 141
29.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-04-20
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-20
2nd row2023-04-20
3rd row2023-04-20
4th row2023-04-20
5th row2023-04-20

Common Values

ValueCountFrequency (%)
2023-04-20 32
100.0%

Length

2023-12-11T02:01:09.683680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:09.829857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-20 32
100.0%

Interactions

2023-12-11T02:01:06.979889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:01:09.924035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소
연번1.0001.0000.937
상호명1.0001.0001.000
도로명주소0.9371.0001.000

Missing values

2023-12-11T02:01:07.162055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:07.310254image/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

연번상호명도로명주소데이터기준일자
01에스씨㈜ 감천주유소부산광역시 사하구 감천로 79(감천동)2023-04-20
12장림주유소부산광역시 사하구 장림로 287(장림동)2023-04-20
23동광에너콤 신평주유소부산광역시 사하구 하신중앙로 166(신평동)2023-04-20
34대양석유㈜SK괴정주유소부산광역시 사하구 사하로 129(괴정동)2023-04-20
45SK에너지㈜ 국영셀프주유소부산광역시 사하구 장림번영로 7(장림동)2023-04-20
56에이치디 현대오일뱅크㈜직영 괴정제일셀프주유소부산광역시 사하구 낙동대로 169(괴정동)2023-04-20
67장림대흥주유소부산광역시 사하구 다대로 292(장림동)2023-04-20
78선경주유소부산광역시 사하구 을숙도대로 730(구평동)2023-04-20
89광신석유㈜ 다대로주유소부산광역시 사하구 을숙도대로 712(장림동)2023-04-20
910주식회사 사하에너지 주유소부산광역시 사하구 다대로 280(장림동)2023-04-20
연번상호명도로명주소데이터기준일자
2223광신석유㈜ 구평주유소부산광역시 사하구 서포로 61(구평동)2023-04-20
2324대호주유소부산광역시 사하구 하신중앙로 55(신평동)2023-04-20
2425지에스칼텍스㈜동아주유소부산광역시 사하구 낙동대로 112(괴정동)2023-04-20
2526인도에너지㈜부산광역시 사하구 감천항로 20(감천동)2023-04-20
2627조은주유소부산광역시 사하구 낙동대로 312(괴정동)2023-04-20
2728은마석유㈜ 송림주유소부산광역시 사하구 장평로 177(장림동)2023-04-20
2829오션셀프주유소부산광역시 사하구 감천항로 227(구평동)2023-04-20
2930㈜인성티티 사하주유소부산광역시 사하구 을숙도대로 583(신평동)2023-04-20
3031동원주유소㈜부산광역시 사하구 감천항로 445(구평동)2023-04-20
3132부영석유 도매주유소부산광역시 사하구 을숙도대로 564(신평동)2023-04-20