Overview

Dataset statistics

Number of variables4
Number of observations46
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

Description부산광역시기장군_주유소현황_20221110
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15004381

Alerts

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

Reproduction

Analysis started2023-12-10 16:57:00.515065
Analysis finished2023-12-10 16:57:01.345970
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T01:57:01.479356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-11T01:57:01.675965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 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%
34 1
 
2.2%
Other values (36) 36
78.3%
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 (%)
46 1
2.2%
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%

상호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:57:02.028566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.9130435
Min length5

Characters and Unicode

Total characters364
Distinct characters109
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

Unique46 ?
Unique (%)100.0%

Sample

1st row월드주유소
2nd row㈜OS에너지 용문주유소
3rd row창암2주유소
4th row㈜첼시주유소
5th row은마석유㈜ 대영주유소
ValueCountFrequency (%)
월드주유소 1
 
2.0%
장안ic(하)주유소 1
 
2.0%
삼2주유소 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%
지에스칼텍스㈜청강휴게소주유소 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T01:57:02.719282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 49
 
13.5%
유 46
 
12.6%
주 45
 
12.4%
㈜ 15
 
4.1%
장 8
 
2.2%
안 7
 
1.9%
에 6
 
1.6%
지 6
 
1.6%
동 6
 
1.6%
산 6
 
1.6%
Other values (99) 170
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
87.1%
Other Symbol 15
 
4.1%
Uppercase Letter 14
 
3.8%
Decimal Number 5
 
1.4%
Lowercase Letter 4
 
1.1%
Space Separator 3
 
0.8%
Close Punctuation 2
 
0.5%
Dash Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 49
 
15.5%
유 46
 
14.5%
주 45
 
14.2%
장 8
 
2.5%
안 7
 
2.2%
에 6
 
1.9%
지 6
 
1.9%
동 6
 
1.9%
산 6
 
1.9%
너 5
 
1.6%
Other values (82) 133
42.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
I 4
28.6%
K 2
14.3%
H 2
14.3%
O 1
 
7.1%
S 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
f 1
25.0%
l 1
25.0%
e 1
25.0%
s 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
91.2%
Latin 18
 
4.9%
Common 14
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 49
 
14.8%
유 46
 
13.9%
주 45
 
13.6%
㈜ 15
 
4.5%
장 8
 
2.4%
안 7
 
2.1%
에 6
 
1.8%
지 6
 
1.8%
동 6
 
1.8%
산 6
 
1.8%
Other values (83) 138
41.6%
Latin
ValueCountFrequency (%)
C 4
22.2%
I 4
22.2%
K 2
11.1%
H 2
11.1%
O 1
 
5.6%
S 1
 
5.6%
f 1
 
5.6%
l 1
 
5.6%
e 1
 
5.6%
s 1
 
5.6%
Common
ValueCountFrequency (%)
3
21.4%
2 3
21.4%
) 2
14.3%
- 2
14.3%
1 2
14.3%
( 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
87.1%
ASCII 32
 
8.8%
None 15
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 49
 
15.5%
유 46
 
14.5%
주 45
 
14.2%
장 8
 
2.5%
안 7
 
2.2%
에 6
 
1.9%
지 6
 
1.9%
동 6
 
1.9%
산 6
 
1.9%
너 5
 
1.6%
Other values (82) 133
42.0%
None
ValueCountFrequency (%)
㈜ 15
100.0%
ASCII
ValueCountFrequency (%)
C 4
12.5%
I 4
12.5%
3
9.4%
2 3
9.4%
) 2
 
6.2%
- 2
 
6.2%
1 2
 
6.2%
( 2
 
6.2%
K 2
 
6.2%
H 2
 
6.2%
Other values (6) 6
18.8%

주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:57:03.116305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.347826
Min length10

Characters and Unicode

Total characters568
Distinct characters58
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

Unique46 ?
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 14
 
10.1%
기장읍 11
 
8.0%
정관읍 10
 
7.2%
일광면 9
 
6.5%
예림리 8
 
5.8%
좌동리 5
 
3.6%
청강리 3
 
2.2%
원리 3
 
2.2%
삼성리 3
 
2.2%
화전리 2
 
1.4%
Other values (64) 70
50.7%
2023-12-11T01:57:03.684006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
16.2%
리 46
 
8.1%
- 36
 
6.3%
읍 35
 
6.2%
1 29
 
5.1%
장 26
 
4.6%
2 26
 
4.6%
3 24
 
4.2%
8 19
 
3.3%
안 16
 
2.8%
Other values (48) 219
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
48.1%
Decimal Number 167
29.4%
Space Separator 92
 
16.2%
Dash Punctuation 36
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 46
16.8%
읍 35
 
12.8%
장 26
 
9.5%
안 16
 
5.9%
기 13
 
4.8%
면 11
 
4.0%
정 10
 
3.7%
관 10
 
3.7%
일 9
 
3.3%
광 9
 
3.3%
Other values (36) 88
32.2%
Decimal Number
ValueCountFrequency (%)
1 29
17.4%
2 26
15.6%
3 24
14.4%
8 19
11.4%
7 15
9.0%
4 15
9.0%
5 11
 
6.6%
0 11
 
6.6%
9 10
 
6.0%
6 7
 
4.2%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 295
51.9%
Hangul 273
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 46
16.8%
읍 35
 
12.8%
장 26
 
9.5%
안 16
 
5.9%
기 13
 
4.8%
면 11
 
4.0%
정 10
 
3.7%
관 10
 
3.7%
일 9
 
3.3%
광 9
 
3.3%
Other values (36) 88
32.2%
Common
ValueCountFrequency (%)
92
31.2%
- 36
 
12.2%
1 29
 
9.8%
2 26
 
8.8%
3 24
 
8.1%
8 19
 
6.4%
7 15
 
5.1%
4 15
 
5.1%
5 11
 
3.7%
0 11
 
3.7%
Other values (2) 17
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 295
51.9%
Hangul 273
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
31.2%
- 36
 
12.2%
1 29
 
9.8%
2 26
 
8.8%
3 24
 
8.1%
8 19
 
6.4%
7 15
 
5.1%
4 15
 
5.1%
5 11
 
3.7%
0 11
 
3.7%
Other values (2) 17
 
5.8%
Hangul
ValueCountFrequency (%)
리 46
16.8%
읍 35
 
12.8%
장 26
 
9.5%
안 16
 
5.9%
기 13
 
4.8%
면 11
 
4.0%
정 10
 
3.7%
관 10
 
3.7%
일 9
 
3.3%
광 9
 
3.3%
Other values (36) 88
32.2%

전화번호
Text

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T01:57:04.022211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique40 ?
Unique (%)87.0%

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
 
4.3%
051-727-1212 2
 
4.3%
051-721-1813 2
 
4.3%
051-722-3370 1
 
2.2%
051-724-1147 1
 
2.2%
051-727-1334 1
 
2.2%
051-723-3461 1
 
2.2%
051-727-4816 1
 
2.2%
051-728-4433 1
 
2.2%
051-728-5166 1
 
2.2%
Other values (33) 33
71.7%
2023-12-11T01:57:04.685244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
16.7%
1 86
15.6%
7 72
13.0%
2 71
12.9%
0 63
11.4%
5 61
11.1%
8 35
 
6.3%
3 28
 
5.1%
4 18
 
3.3%
6 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
18.7%
7 72
15.7%
2 71
15.4%
0 63
13.7%
5 61
13.3%
8 35
7.6%
3 28
 
6.1%
4 18
 
3.9%
6 18
 
3.9%
9 8
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
16.7%
1 86
15.6%
7 72
13.0%
2 71
12.9%
0 63
11.4%
5 61
11.1%
8 35
 
6.3%
3 28
 
5.1%
4 18
 
3.3%
6 18
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
16.7%
1 86
15.6%
7 72
13.0%
2 71
12.9%
0 63
11.4%
5 61
11.1%
8 35
 
6.3%
3 28
 
5.1%
4 18
 
3.3%
6 18
 
3.3%

Interactions

2023-12-11T01:57:00.947409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:04.861118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호주소전화번호
순번1.0001.0001.0000.751
상호1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호0.7511.0001.0001.000

Missing values

2023-12-11T01:57:01.125675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:01.279334image/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
23창암2주유소정관읍 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
910고리길천주유소장안읍 길천리 50-3051-728-9300
순번상호주소전화번호
3637내리주유소기장읍 내리 307-8051-722-7363
3738동부산농협주유소일광면 화전리 39-2051-724-5182
3839안평주유소철마면 안평리 43-4051-722-7979
3940오성주유소일광면 문동리 235-1051-721-1813
4041대변주유소기장읍 연화리 224-1051-733-1800
4142㈜동광주유소기장읍 대라리 139-13051-722-4451
4243하영주유소기장읍 서부리 386051-722-3370
4344공단주유소정관읍 예림리 847-2051-727-1334
4445삼2주유소일광면 원리 171-8051-728-5182
4546정관주유소㈜정관읍 방곡리 274-8051-728-5083