Overview

Dataset statistics

Number of variables7
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory59.3 B

Variable types

Text3
Numeric2
DateTime1
Categorical1

Dataset

Description경기도 수원시 주유소현황 데이터로 관내 주유소명, 소재지도로명주소, 소재지지번주소, 전화번호, 등록일자 등의 정보를 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15126790/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:03:56.701349
Analysis finished2024-03-14 09:03:58.800148
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주유소명
Text

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T18:03:59.750917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length10.111111
Min length2

Characters and Unicode

Total characters1001
Distinct characters183
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)98.0%

Sample

1st row월드컵주유소
2nd row에이치디현대오일뱅크㈜직영 호수공원셀프주유소
3rd row주식회사 세일 광교신도시 주유소
4th row대신자연에너지
5th row경희주유소
ValueCountFrequency (%)
주식회사 6
 
4.0%
에이치디현대오일뱅크(주)직영 5
 
3.4%
구도일주유소 3
 
2.0%
지에스칼텍스(주 3
 
2.0%
제이앤비코리아㈜ 2
 
1.3%
하늘에너지(주 2
 
1.3%
주유소 2
 
1.3%
sk에너지(주 2
 
1.3%
서수원주유소 2
 
1.3%
㈜한미석유 2
 
1.3%
Other values (120) 120
80.5%
2024-03-14T18:04:01.063709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 118
 
11.8%
유 99
 
9.9%
소 86
 
8.6%
50
 
5.0%
에 28
 
2.8%
) 25
 
2.5%
( 25
 
2.5%
원 22
 
2.2%
지 19
 
1.9%
대 18
 
1.8%
Other values (173) 511
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
85.7%
Space Separator 50
 
5.0%
Close Punctuation 25
 
2.5%
Open Punctuation 25
 
2.5%
Uppercase Letter 18
 
1.8%
Other Symbol 15
 
1.5%
Lowercase Letter 6
 
0.6%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 118
 
13.8%
유 99
 
11.5%
소 86
 
10.0%
에 28
 
3.3%
원 22
 
2.6%
지 19
 
2.2%
대 18
 
2.1%
이 17
 
2.0%
일 17
 
2.0%
수 16
 
1.9%
Other values (153) 418
48.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
33.3%
K 4
22.2%
B 2
 
11.1%
F 1
 
5.6%
L 1
 
5.6%
E 1
 
5.6%
W 1
 
5.6%
M 1
 
5.6%
A 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
t 2
33.3%
n 1
16.7%
o 1
16.7%
i 1
16.7%
a 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 2
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
87.2%
Common 104
 
10.4%
Latin 24
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 118
 
13.5%
유 99
 
11.3%
소 86
 
9.9%
에 28
 
3.2%
원 22
 
2.5%
지 19
 
2.2%
대 18
 
2.1%
이 17
 
1.9%
일 17
 
1.9%
수 16
 
1.8%
Other values (154) 433
49.6%
Latin
ValueCountFrequency (%)
S 6
25.0%
K 4
16.7%
t 2
 
8.3%
B 2
 
8.3%
F 1
 
4.2%
L 1
 
4.2%
E 1
 
4.2%
n 1
 
4.2%
o 1
 
4.2%
i 1
 
4.2%
Other values (4) 4
16.7%
Common
ValueCountFrequency (%)
50
48.1%
) 25
24.0%
( 25
24.0%
2 2
 
1.9%
0 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
85.7%
ASCII 128
 
12.8%
None 15
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 118
 
13.8%
유 99
 
11.5%
소 86
 
10.0%
에 28
 
3.3%
원 22
 
2.6%
지 19
 
2.2%
대 18
 
2.1%
이 17
 
2.0%
일 17
 
2.0%
수 16
 
1.9%
Other values (153) 418
48.7%
ASCII
ValueCountFrequency (%)
50
39.1%
) 25
19.5%
( 25
19.5%
S 6
 
4.7%
K 4
 
3.1%
2 2
 
1.6%
t 2
 
1.6%
0 2
 
1.6%
B 2
 
1.6%
F 1
 
0.8%
Other values (9) 9
 
7.0%
None
ValueCountFrequency (%)
㈜ 15
100.0%

소재지주소
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T18:04:02.167698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length26.040404
Min length24

Characters and Unicode

Total characters2578
Distinct characters93
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

Unique99 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 광교로 66 (이의동)
2nd row경기도 수원시 영통구 광교호수로 124 (하동)
3rd row경기도 수원시 영통구 광교호수로 328-142 (하동)
4th row경기도 수원시 영통구 권선로 927 (신동)
5th row경기도 수원시 영통구 덕영대로 1729 (영통동)
ValueCountFrequency (%)
경기도 99
 
16.6%
수원시 99
 
16.6%
권선구 44
 
7.4%
장안구 22
 
3.7%
영통구 20
 
3.4%
경수대로 15
 
2.5%
팔달구 13
 
2.2%
서부로 9
 
1.5%
매송고색로 9
 
1.5%
권선로 9
 
1.5%
Other values (159) 257
43.1%
2024-03-14T18:04:03.492468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
497
19.3%
수 126
 
4.9%
경 114
 
4.4%
원 109
 
4.2%
구 101
 
3.9%
로 100
 
3.9%
동 100
 
3.9%
( 99
 
3.8%
도 99
 
3.8%
시 99
 
3.8%
Other values (83) 1134
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1564
60.7%
Space Separator 497
 
19.3%
Decimal Number 318
 
12.3%
Open Punctuation 99
 
3.8%
Close Punctuation 99
 
3.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 126
 
8.1%
경 114
 
7.3%
원 109
 
7.0%
구 101
 
6.5%
로 100
 
6.4%
동 100
 
6.4%
도 99
 
6.3%
시 99
 
6.3%
기 99
 
6.3%
권 63
 
4.0%
Other values (69) 554
35.4%
Decimal Number
ValueCountFrequency (%)
1 49
15.4%
2 45
14.2%
3 37
11.6%
7 34
10.7%
5 28
8.8%
8 27
8.5%
9 25
7.9%
4 25
7.9%
0 25
7.9%
6 23
7.2%
Space Separator
ValueCountFrequency (%)
497
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1564
60.7%
Common 1014
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 126
 
8.1%
경 114
 
7.3%
원 109
 
7.0%
구 101
 
6.5%
로 100
 
6.4%
동 100
 
6.4%
도 99
 
6.3%
시 99
 
6.3%
기 99
 
6.3%
권 63
 
4.0%
Other values (69) 554
35.4%
Common
ValueCountFrequency (%)
497
49.0%
( 99
 
9.8%
) 99
 
9.8%
1 49
 
4.8%
2 45
 
4.4%
3 37
 
3.6%
7 34
 
3.4%
5 28
 
2.8%
8 27
 
2.7%
9 25
 
2.5%
Other values (4) 74
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1564
60.7%
ASCII 1014
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
497
49.0%
( 99
 
9.8%
) 99
 
9.8%
1 49
 
4.8%
2 45
 
4.4%
3 37
 
3.6%
7 34
 
3.4%
5 28
 
2.8%
8 27
 
2.7%
9 25
 
2.5%
Other values (4) 74
 
7.3%
Hangul
ValueCountFrequency (%)
수 126
 
8.1%
경 114
 
7.3%
원 109
 
7.0%
구 101
 
6.5%
로 100
 
6.4%
동 100
 
6.4%
도 99
 
6.3%
시 99
 
6.3%
기 99
 
6.3%
권 63
 
4.0%
Other values (69) 554
35.4%

위도
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.27363
Minimum37.230602
Maximum37.322171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1019.0 B
2024-03-14T18:04:03.740394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.230602
5-th percentile37.242545
Q137.255721
median37.270609
Q337.294696
95-th percentile37.31106
Maximum37.322171
Range0.0915692
Interquartile range (IQR)0.03897457

Descriptive statistics

Standard deviation0.022455941
Coefficient of variation (CV)0.00060246187
Kurtosis-0.93099205
Mean37.27363
Median Absolute Deviation (MAD)0.01719498
Skewness0.23575249
Sum3690.0894
Variance0.00050426928
MonotonicityNot monotonic
2024-03-14T18:04:04.074400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.28780405 1
 
1.0%
37.23923717 1
 
1.0%
37.30547255 1
 
1.0%
37.29815216 1
 
1.0%
37.29705436 1
 
1.0%
37.29463648 1
 
1.0%
37.29167509 1
 
1.0%
37.32217143 1
 
1.0%
37.3108981 1
 
1.0%
37.30807617 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
37.23060223 1
1.0%
37.23125963 1
1.0%
37.23604055 1
1.0%
37.23923717 1
1.0%
37.23990472 1
1.0%
37.24283817 1
1.0%
37.24397153 1
1.0%
37.2451686 1
1.0%
37.24558246 1
1.0%
37.24618232 1
1.0%
ValueCountFrequency (%)
37.32217143 1
1.0%
37.31655996 1
1.0%
37.31651953 1
1.0%
37.31516377 1
1.0%
37.31251451 1
1.0%
37.3108981 1
1.0%
37.30989585 1
1.0%
37.30807617 1
1.0%
37.30690804 1
1.0%
37.30614189 1
1.0%

경도
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00965
Minimum126.95391
Maximum127.08752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1019.0 B
2024-03-14T18:04:04.520163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.95391
5-th percentile126.96107
Q1126.98471
median127.01101
Q3127.03121
95-th percentile127.06271
Maximum127.08752
Range0.1336028
Interquartile range (IQR)0.04650335

Descriptive statistics

Standard deviation0.03217582
Coefficient of variation (CV)0.00025333366
Kurtosis-0.69280699
Mean127.00965
Median Absolute Deviation (MAD)0.0243707
Skewness0.24554321
Sum12573.955
Variance0.0010352834
MonotonicityNot monotonic
2024-03-14T18:04:04.789253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0421359 1
 
1.0%
126.9597163 1
 
1.0%
127.0034345 1
 
1.0%
127.0136004 1
 
1.0%
127.0148805 1
 
1.0%
127.0171982 1
 
1.0%
127.0207783 1
 
1.0%
126.9881867 1
 
1.0%
126.9920428 1
 
1.0%
126.996086 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
126.9539146 1
1.0%
126.9590146 1
1.0%
126.9594419 1
1.0%
126.9597163 1
1.0%
126.9602396 1
1.0%
126.9611598 1
1.0%
126.9617428 1
1.0%
126.9631573 1
1.0%
126.9641151 1
1.0%
126.9653469 1
1.0%
ValueCountFrequency (%)
127.0875174 1
1.0%
127.0806091 1
1.0%
127.0759767 1
1.0%
127.068248 1
1.0%
127.0645167 1
1.0%
127.062504 1
1.0%
127.0610618 1
1.0%
127.0574143 1
1.0%
127.056552 1
1.0%
127.0549317 1
1.0%

전화번호
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T18:04:05.734769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010101
Min length12

Characters and Unicode

Total characters1189
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

Unique99 ?
Unique (%)100.0%

Sample

1st row031-214-5189
2nd row031-217-5144
3rd row031-213-8737
4th row031-202-5151
5th row031-205-0878
ValueCountFrequency (%)
031-214-5189 1
 
1.0%
031-278-5182 1
 
1.0%
031-243-3535 1
 
1.0%
031-258-2892 1
 
1.0%
031-258-0445 1
 
1.0%
031-255-8061 1
 
1.0%
031-243-4412 1
 
1.0%
031-255-2096 1
 
1.0%
031-252-5149 1
 
1.0%
031-257-1150 1
 
1.0%
Other values (89) 89
89.9%
2024-03-14T18:04:06.919186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
16.7%
1 195
16.4%
0 159
13.4%
2 151
12.7%
3 136
11.4%
5 105
8.8%
8 61
 
5.1%
9 57
 
4.8%
6 45
 
3.8%
4 43
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 991
83.3%
Dash Punctuation 198
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 195
19.7%
0 159
16.0%
2 151
15.2%
3 136
13.7%
5 105
10.6%
8 61
 
6.2%
9 57
 
5.8%
6 45
 
4.5%
4 43
 
4.3%
7 39
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 198
16.7%
1 195
16.4%
0 159
13.4%
2 151
12.7%
3 136
11.4%
5 105
8.8%
8 61
 
5.1%
9 57
 
4.8%
6 45
 
3.8%
4 43
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
16.7%
1 195
16.4%
0 159
13.4%
2 151
12.7%
3 136
11.4%
5 105
8.8%
8 61
 
5.1%
9 57
 
4.8%
6 45
 
3.8%
4 43
 
3.6%

등록일자
Date

Distinct89
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size920.0 B
Minimum1976-05-24 00:00:00
Maximum2019-12-09 00:00:00
2024-03-14T18:04:07.309923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:04:07.756883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-01-31
99 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 99
100.0%

Length

2024-03-14T18:04:08.173802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:04:08.458483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 99
100.0%

Interactions

2024-03-14T18:03:58.091816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:03:57.607802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:03:58.287983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:03:57.844504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:04:08.635089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주유소명소재지주소위도경도전화번호등록일자
주유소명1.0001.0000.0000.9471.0000.998
소재지주소1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0000.4631.0000.884
경도0.9471.0000.4631.0001.0000.872
전화번호1.0001.0001.0001.0001.0001.000
등록일자0.9981.0000.8840.8721.0001.000
2024-03-14T18:04:08.896541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.051
경도-0.0511.000

Missing values

2024-03-14T18:03:58.523543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:03:58.721940image/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

주유소명소재지주소위도경도전화번호등록일자데이터기준일자
0월드컵주유소경기도 수원시 영통구 광교로 66 (이의동)37.287804127.042136031-214-51892001-12-172024-01-31
1에이치디현대오일뱅크㈜직영 호수공원셀프주유소경기도 수원시 영통구 광교호수로 124 (하동)37.279242127.068248031-217-51442012-11-052024-01-31
2주식회사 세일 광교신도시 주유소경기도 수원시 영통구 광교호수로 328-142 (하동)37.294755127.087517031-213-87372015-06-292024-01-31
3대신자연에너지경기도 수원시 영통구 권선로 927 (신동)37.247755127.048052031-202-51512001-08-032024-01-31
4경희주유소경기도 수원시 영통구 덕영대로 1729 (영통동)37.248526127.080609031-205-08781995-10-042024-01-31
5㈜한미석유 매탄동주유소경기도 수원시 영통구 동탄원천로 1015 (매탄동)37.263921127.049988031-217-51081996-06-142024-01-31
6삼성주유소경기도 수원시 영통구 매영로 248 (원천동)37.259173127.064517031-216-30012001-11-012024-01-31
7(주)나눔에너지경기도 수원시 영통구 영통로 171 (망포동)37.242838127.054932031-205-51511996-01-252024-01-31
8유신종합경기도 수원시 영통구 영통로 299 (매탄동)37.252969127.061062031-216-14752001-11-052024-01-31
9에이치디현대오일뱅크(주)직영 영통제일셀프주유소경기도 수원시 영통구 영통로 317 (매탄동)37.25446127.062504031-211-22551996-07-162024-01-31
주유소명소재지주소위도경도전화번호등록일자데이터기준일자
89화서제일주유소경기도 수원시 팔달구 덕영대로749번길 2 (화서동)37.280202126.992897031-244-34001997-08-202024-01-31
90서부주유소경기도 수원시 팔달구 수성로 188 (화서동)37.286927126.993532031-243-80871989-05-132024-01-31
91효현(주) 아주주유소경기도 수원시 팔달구 월드컵로 246 (우만동)37.282264127.039815031-216-51892008-11-282024-01-31
92인계동주유소경기도 수원시 팔달구 인계로 139 (인계동)37.267308127.032894031-215-81011992-01-312024-01-31
93청담에너지경기도 수원시 팔달구 인계로 58 (인계동)37.268972127.023913031-238-51891995-12-292024-01-31
94조은기름주유소경기도 수원시 팔달구 인계로 76 (인계동)37.268483127.025965031-223-50011995-12-292024-01-31
95종로주유소경기도 수원시 팔달구 정조로 816 (팔달로1가)37.280916127.01702031-268-51891976-05-242024-01-31
96팔달주유소경기도 수원시 팔달구 중부대로 64 (인계동)37.275579127.023865031-223-88551994-02-212024-01-31
97푸른현대주유소경기도 수원시 팔달구 팔달로 137 (화서동)37.280482127.015716031-245-86691989-04-272024-01-31
98효원주유소경기도 수원시 팔달구 효원로 181 (인계동)37.264425127.021825031-221-73241995-02-172024-01-31