Overview

Dataset statistics

Number of variables4
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory35.9 B

Variable types

Numeric1
Text3

Dataset

Description2023.11.10. 기준 기장군 관내 주유소 등록 현황에 대한 데이터로서 주유소명, 소재지, 전화번호등의 항목을 제공합니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15004381/fileData.do

Alerts

순번 has unique valuesUnique
상호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:17:10.559330
Analysis finished2023-12-12 17:17:11.065646
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T02:17:11.135212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-13T02:17:11.293977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

상호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T02:17:11.548729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length8.1333333
Min length5

Characters and Unicode

Total characters366
Distinct characters110
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row월드주유소
2nd row㈜OS에너지 용문주유소
3rd row㈜미래로 창암2주유소
4th row㈜첼시주유소
5th row은마석유㈜ 대영주유소
ValueCountFrequency (%)
월드주유소 1
 
2.0%
㈜동남주유소 1
 
2.0%
신아시아드주유소 1
 
2.0%
백운제1주유소 1
 
2.0%
기분조은주유소 1
 
2.0%
선암주유소 1
 
2.0%
㈜공단신도시주유소 1
 
2.0%
달음산주유소 1
 
2.0%
와이케이에너지㈜ 1
 
2.0%
기장대로 1
 
2.0%
Other values (41) 41
80.4%
2023-12-13T02:17:11.977895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 47
 
12.8%
유 45
 
12.3%
주 44
 
12.0%
㈜ 16
 
4.4%
장 9
 
2.5%
안 7
 
1.9%
지 6
 
1.6%
산 6
 
1.6%
6
 
1.6%
동 6
 
1.6%
Other values (100) 174
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
86.3%
Other Symbol 16
 
4.4%
Uppercase Letter 14
 
3.8%
Space Separator 6
 
1.6%
Decimal Number 4
 
1.1%
Lowercase Letter 4
 
1.1%
Dash Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 47
 
14.9%
유 45
 
14.2%
주 44
 
13.9%
장 9
 
2.8%
안 7
 
2.2%
지 6
 
1.9%
산 6
 
1.9%
동 6
 
1.9%
에 6
 
1.9%
너 6
 
1.9%
Other values (83) 134
42.4%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
I 4
28.6%
K 2
14.3%
H 2
14.3%
S 1
 
7.1%
O 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
f 1
25.0%
e 1
25.0%
s 1
25.0%
l 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
90.7%
Latin 18
 
4.9%
Common 16
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 47
 
14.2%
유 45
 
13.6%
주 44
 
13.3%
㈜ 16
 
4.8%
장 9
 
2.7%
안 7
 
2.1%
지 6
 
1.8%
산 6
 
1.8%
동 6
 
1.8%
에 6
 
1.8%
Other values (84) 140
42.2%
Latin
ValueCountFrequency (%)
C 4
22.2%
I 4
22.2%
K 2
11.1%
H 2
11.1%
S 1
 
5.6%
O 1
 
5.6%
f 1
 
5.6%
e 1
 
5.6%
s 1
 
5.6%
l 1
 
5.6%
Common
ValueCountFrequency (%)
6
37.5%
- 2
 
12.5%
) 2
 
12.5%
( 2
 
12.5%
1 2
 
12.5%
2 2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
86.3%
ASCII 34
 
9.3%
None 16
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 47
 
14.9%
유 45
 
14.2%
주 44
 
13.9%
장 9
 
2.8%
안 7
 
2.2%
지 6
 
1.9%
산 6
 
1.9%
동 6
 
1.9%
에 6
 
1.9%
너 6
 
1.9%
Other values (83) 134
42.4%
None
ValueCountFrequency (%)
㈜ 16
100.0%
ASCII
ValueCountFrequency (%)
6
17.6%
C 4
11.8%
I 4
11.8%
- 2
 
5.9%
) 2
 
5.9%
( 2
 
5.9%
K 2
 
5.9%
1 2
 
5.9%
H 2
 
5.9%
2 2
 
5.9%
Other values (6) 6
17.6%

주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T02:17:12.285110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.355556
Min length10

Characters and Unicode

Total characters556
Distinct characters57
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row기장읍 서부리 429
2nd row일광면 삼성리 25
3rd row정관읍 예림리 384-1
4th row장안읍 좌천리 436-7
5th row정관읍 모전리 17
ValueCountFrequency (%)
장안읍 13
 
9.6%
기장읍 11
 
8.1%
정관읍 10
 
7.4%
일광면 9
 
6.7%
예림리 8
 
5.9%
좌동리 5
 
3.7%
삼성리 3
 
2.2%
원리 3
 
2.2%
청강리 3
 
2.2%
기룡리 2
 
1.5%
Other values (62) 68
50.4%
2023-12-13T02:17:12.668752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
16.2%
리 45
 
8.1%
- 35
 
6.3%
읍 34
 
6.1%
1 29
 
5.2%
2 26
 
4.7%
장 25
 
4.5%
3 23
 
4.1%
8 19
 
3.4%
7 15
 
2.7%
Other values (47) 215
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
48.0%
Decimal Number 164
29.5%
Space Separator 90
 
16.2%
Dash Punctuation 35
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 45
16.9%
읍 34
 
12.7%
장 25
 
9.4%
안 15
 
5.6%
기 13
 
4.9%
면 11
 
4.1%
정 10
 
3.7%
관 10
 
3.7%
광 9
 
3.4%
일 9
 
3.4%
Other values (35) 86
32.2%
Decimal Number
ValueCountFrequency (%)
1 29
17.7%
2 26
15.9%
3 23
14.0%
8 19
11.6%
7 15
9.1%
4 15
9.1%
0 10
 
6.1%
5 10
 
6.1%
9 10
 
6.1%
6 7
 
4.3%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 289
52.0%
Hangul 267
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 45
16.9%
읍 34
 
12.7%
장 25
 
9.4%
안 15
 
5.6%
기 13
 
4.9%
면 11
 
4.1%
정 10
 
3.7%
관 10
 
3.7%
광 9
 
3.4%
일 9
 
3.4%
Other values (35) 86
32.2%
Common
ValueCountFrequency (%)
90
31.1%
- 35
 
12.1%
1 29
 
10.0%
2 26
 
9.0%
3 23
 
8.0%
8 19
 
6.6%
7 15
 
5.2%
4 15
 
5.2%
0 10
 
3.5%
5 10
 
3.5%
Other values (2) 17
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 289
52.0%
Hangul 267
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
31.1%
- 35
 
12.1%
1 29
 
10.0%
2 26
 
9.0%
3 23
 
8.0%
8 19
 
6.6%
7 15
 
5.2%
4 15
 
5.2%
0 10
 
3.5%
5 10
 
3.5%
Other values (2) 17
 
5.9%
Hangul
ValueCountFrequency (%)
리 45
16.9%
읍 34
 
12.7%
장 25
 
9.4%
안 15
 
5.6%
기 13
 
4.9%
면 11
 
4.1%
정 10
 
3.7%
관 10
 
3.7%
광 9
 
3.4%
일 9
 
3.4%
Other values (35) 86
32.2%

전화번호
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T02:17:12.878166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters540
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

Unique39 ?
Unique (%)86.7%

Sample

1st row051-723-3461
2nd row051-722-5594
3rd row051-727-3332
4th row051-727-7473
5th row051-621-0600
ValueCountFrequency (%)
051-727-3332 2
 
4.4%
051-727-1212 2
 
4.4%
051-721-1813 2
 
4.4%
051-722-3370 1
 
2.2%
051-724-1147 1
 
2.2%
051-728-5182 1
 
2.2%
051-722-9900 1
 
2.2%
051-723-3461 1
 
2.2%
051-727-4816 1
 
2.2%
051-728-5166 1
 
2.2%
Other values (32) 32
71.1%
2023-12-13T02:17:13.188337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 90
16.7%
1 85
15.7%
7 71
13.1%
2 70
13.0%
0 60
11.1%
5 60
11.1%
8 34
 
6.3%
3 27
 
5.0%
6 18
 
3.3%
4 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
83.3%
Dash Punctuation 90
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 85
18.9%
7 71
15.8%
2 70
15.6%
0 60
13.3%
5 60
13.3%
8 34
 
7.6%
3 27
 
6.0%
6 18
 
4.0%
4 18
 
4.0%
9 7
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 90
16.7%
1 85
15.7%
7 71
13.1%
2 70
13.0%
0 60
11.1%
5 60
11.1%
8 34
 
6.3%
3 27
 
5.0%
6 18
 
3.3%
4 18
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 90
16.7%
1 85
15.7%
7 71
13.1%
2 70
13.0%
0 60
11.1%
5 60
11.1%
8 34
 
6.3%
3 27
 
5.0%
6 18
 
3.3%
4 18
 
3.3%

Interactions

2023-12-13T02:17:10.807736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:17:13.270006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호주소전화번호
순번1.0001.0001.0000.677
상호1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호0.6771.0001.0001.000

Missing values

2023-12-13T02:17:10.935407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:17:11.024675image/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

순번상호주소전화번호
01월드주유소기장읍 서부리 429051-723-3461
12㈜OS에너지 용문주유소일광면 삼성리 25051-722-5594
23㈜미래로 창암2주유소정관읍 예림리 384-1051-727-3332
34㈜첼시주유소장안읍 좌천리 436-7051-727-7473
45은마석유㈜ 대영주유소정관읍 모전리 17051-621-0600
56창암주유소정관읍 예림리 384-14051-727-3332
67㈜천일에너지 천일주유소정관읍 예림리 384-9051-728-7866
78삼성셀프주유소일광면 삼성리 512-5051-722-5160
89솔밭주유소장안읍 기룡리 237051-727-7277
910㈜장안가스충전소주유소장안읍 용소리 244-5051-728-8686
순번상호주소전화번호
3536내리주유소기장읍 내리 307-8051-722-7363
3637동부산농협주유소일광면 화전리 39-2051-724-5182
3738안평주유소철마면 안평리 43-4051-722-7979
3839오성주유소일광면 문동리 235-1051-721-1813
3940대변주유소기장읍 연화리 224-1051-733-1800
4041㈜동광주유소기장읍 대라리 139-13051-722-4451
4142하영주유소기장읍 서부리 386051-722-3370
4243공단주유소정관읍 예림리 847-2051-727-1334
4344국제주유소일광면 원리 171-8051-728-5182
4445정관주유소㈜정관읍 방곡리 274-8051-728-5083