Overview

Dataset statistics

Number of variables9
Number of observations60
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory77.2 B

Variable types

Numeric3
Categorical2
Text3
DateTime1

Dataset

Description대구광역시 달성군_주유소 현황_20240319
Author대구광역시 달성군
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15094820&dataSetDetailId=150948201a76e10b274ef&provdMethod=FILE

Alerts

회사구분 has constant value ""Constant
영업여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 2 (3.3%) missing valuesMissing
순번 has unique valuesUnique
사업장명 has unique valuesUnique
사업장 소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:11:48.248698
Analysis finished2024-03-23 07:11:53.573820
Duration5.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-23T07:11:53.931162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2024-03-23T07:11:54.591631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

회사구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
주유소
60 

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 60
100.0%

Length

2024-03-23T07:11:55.382134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:55.798487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 60
100.0%

사업장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-23T07:11:56.413591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.9833333
Min length5

Characters and Unicode

Total characters479
Distinct characters127
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

Unique60 ?
Unique (%)100.0%

Sample

1st row(주)미니E주유소
2nd row(주)우리주유소 하나로지점
3rd row(주)조광주유소
4th row㈜한라석유 논공(광주방향) 휴게소
5th row㈜한라석유 논공(대구방향) 휴게소
ValueCountFrequency (%)
㈜한라석유 2
 
2.8%
휴게소 2
 
2.8%
주)미니e주유소 1
 
1.4%
원 1
 
1.4%
포산주유소 1
 
1.4%
유천ic주유소 1
 
1.4%
지에스칼텍스㈜ 1
 
1.4%
구름주유소 1
 
1.4%
주식회사 1
 
1.4%
주유소 1
 
1.4%
Other values (60) 60
83.3%
2024-03-23T07:11:57.752346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 66
 
13.8%
유 64
 
13.4%
소 63
 
13.2%
12
 
2.5%
( 10
 
2.1%
) 10
 
2.1%
공 8
 
1.7%
대 7
 
1.5%
현 7
 
1.5%
협 7
 
1.5%
Other values (117) 225
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
90.0%
Space Separator 12
 
2.5%
Open Punctuation 10
 
2.1%
Close Punctuation 10
 
2.1%
Other Symbol 5
 
1.0%
Lowercase Letter 4
 
0.8%
Other Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 66
 
15.3%
유 64
 
14.8%
소 63
 
14.6%
공 8
 
1.9%
대 7
 
1.6%
현 7
 
1.6%
협 7
 
1.6%
농 7
 
1.6%
구 6
 
1.4%
원 6
 
1.4%
Other values (104) 190
44.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
s 1
25.0%
l 1
25.0%
f 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
I 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
91.0%
Common 36
 
7.5%
Latin 7
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 66
 
15.1%
유 64
 
14.7%
소 63
 
14.4%
공 8
 
1.8%
대 7
 
1.6%
현 7
 
1.6%
협 7
 
1.6%
농 7
 
1.6%
구 6
 
1.4%
원 6
 
1.4%
Other values (105) 195
44.7%
Latin
ValueCountFrequency (%)
e 1
14.3%
s 1
14.3%
l 1
14.3%
C 1
14.3%
I 1
14.3%
E 1
14.3%
f 1
14.3%
Common
ValueCountFrequency (%)
12
33.3%
( 10
27.8%
) 10
27.8%
/ 3
 
8.3%
2 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 431
90.0%
ASCII 43
 
9.0%
None 5
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 66
 
15.3%
유 64
 
14.8%
소 63
 
14.6%
공 8
 
1.9%
대 7
 
1.6%
현 7
 
1.6%
협 7
 
1.6%
농 7
 
1.6%
구 6
 
1.4%
원 6
 
1.4%
Other values (104) 190
44.1%
ASCII
ValueCountFrequency (%)
12
27.9%
( 10
23.3%
) 10
23.3%
/ 3
 
7.0%
e 1
 
2.3%
s 1
 
2.3%
l 1
 
2.3%
C 1
 
2.3%
I 1
 
2.3%
2 1
 
2.3%
Other values (2) 2
 
4.7%
None
ValueCountFrequency (%)
㈜ 5
100.0%

사업장 소재지
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-23T07:11:58.545040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.05
Min length15

Characters and Unicode

Total characters1143
Distinct characters73
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row대구 달성군 다사읍 서재로31길 2
2nd row대구 달성군 화원읍 화암로 3
3rd row대구 달성군 다사읍 세천로 98
4th row대구 달성군 논공읍 광주대구고속도로 169
5th row대구 달성군 논공읍 광주대구고속도로 170
ValueCountFrequency (%)
달성군 60
20.1%
대구 58
19.4%
비슬로 17
 
5.7%
논공읍 12
 
4.0%
현풍면 10
 
3.3%
다사읍 9
 
3.0%
화원읍 9
 
3.0%
옥포면 5
 
1.7%
가창로 5
 
1.7%
가창면 5
 
1.7%
Other values (87) 109
36.5%
2024-03-23T07:11:59.900543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
20.9%
구 66
 
5.8%
대 63
 
5.5%
성 63
 
5.5%
달 62
 
5.4%
군 60
 
5.2%
로 59
 
5.2%
읍 33
 
2.9%
1 31
 
2.7%
면 26
 
2.3%
Other values (63) 441
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
62.8%
Space Separator 239
 
20.9%
Decimal Number 186
 
16.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 66
 
9.2%
대 63
 
8.8%
성 63
 
8.8%
달 62
 
8.6%
군 60
 
8.4%
로 59
 
8.2%
읍 33
 
4.6%
면 26
 
3.6%
비 18
 
2.5%
슬 18
 
2.5%
Other values (52) 250
34.8%
Decimal Number
ValueCountFrequency (%)
1 31
16.7%
3 25
13.4%
2 20
10.8%
0 19
10.2%
6 18
9.7%
8 18
9.7%
9 15
8.1%
7 14
7.5%
5 14
7.5%
4 12
 
6.5%
Space Separator
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
62.8%
Common 425
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 66
 
9.2%
대 63
 
8.8%
성 63
 
8.8%
달 62
 
8.6%
군 60
 
8.4%
로 59
 
8.2%
읍 33
 
4.6%
면 26
 
3.6%
비 18
 
2.5%
슬 18
 
2.5%
Other values (52) 250
34.8%
Common
ValueCountFrequency (%)
239
56.2%
1 31
 
7.3%
3 25
 
5.9%
2 20
 
4.7%
0 19
 
4.5%
6 18
 
4.2%
8 18
 
4.2%
9 15
 
3.5%
7 14
 
3.3%
5 14
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
62.8%
ASCII 425
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
56.2%
1 31
 
7.3%
3 25
 
5.9%
2 20
 
4.7%
0 19
 
4.5%
6 18
 
4.2%
8 18
 
4.2%
9 15
 
3.5%
7 14
 
3.3%
5 14
 
3.3%
Hangul
ValueCountFrequency (%)
구 66
 
9.2%
대 63
 
8.8%
성 63
 
8.8%
달 62
 
8.6%
군 60
 
8.4%
로 59
 
8.2%
읍 33
 
4.6%
면 26
 
3.6%
비 18
 
2.5%
슬 18
 
2.5%
Other values (52) 250
34.8%

영업여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업
2nd row영업
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 60
100.0%

Length

2024-03-23T07:12:00.315471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:12:00.822347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 60
100.0%

위도
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.766053
Minimum35.635221
Maximum35.899737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-23T07:12:01.155439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.635221
5-th percentile35.66481
Q135.705828
median35.771607
Q335.804439
95-th percentile35.877111
Maximum35.899737
Range0.2645153
Interquartile range (IQR)0.09861018

Descriptive statistics

Standard deviation0.070254684
Coefficient of variation (CV)0.0019642839
Kurtosis-0.87183215
Mean35.766053
Median Absolute Deviation (MAD)0.043647225
Skewness0.094734046
Sum2145.9632
Variance0.0049357206
MonotonicityNot monotonic
2024-03-23T07:12:01.991054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.68768318 2
 
3.3%
35.87703884 1
 
1.7%
35.87335041 1
 
1.7%
35.78770403 1
 
1.7%
35.78956918 1
 
1.7%
35.86538395 1
 
1.7%
35.7951423 1
 
1.7%
35.75858253 1
 
1.7%
35.79755189 1
 
1.7%
35.80920565 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
35.63522138 1
1.7%
35.64022751 1
1.7%
35.65530365 1
1.7%
35.66530988 1
1.7%
35.66588195 1
1.7%
35.66836713 1
1.7%
35.67182063 1
1.7%
35.68385766 1
1.7%
35.68768318 2
3.3%
35.69051936 1
1.7%
ValueCountFrequency (%)
35.89973668 1
1.7%
35.87825165 1
1.7%
35.87770786 1
1.7%
35.8770799 1
1.7%
35.87703884 1
1.7%
35.87335041 1
1.7%
35.87310001 1
1.7%
35.87101781 1
1.7%
35.86843304 1
1.7%
35.86538395 1
1.7%

경도
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.46757
Minimum128.39863
Maximum128.66589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-23T07:12:02.538820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.39863
5-th percentile128.40567
Q1128.4317
median128.45213
Q3128.48646
95-th percentile128.62461
Maximum128.66589
Range0.2672651
Interquartile range (IQR)0.054757875

Descriptive statistics

Standard deviation0.058618218
Coefficient of variation (CV)0.00045628805
Kurtosis4.102796
Mean128.46757
Median Absolute Deviation (MAD)0.02371025
Skewness2.010425
Sum7708.0544
Variance0.0034360955
MonotonicityNot monotonic
2024-03-23T07:12:03.162307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4317035 2
 
3.3%
128.4964446 1
 
1.7%
128.4881602 1
 
1.7%
128.4612619 1
 
1.7%
128.468397 1
 
1.7%
128.4264452 1
 
1.7%
128.627564 1
 
1.7%
128.4927641 1
 
1.7%
128.4828267 1
 
1.7%
128.4807176 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
128.3986278 1
1.7%
128.402769 1
1.7%
128.403181 1
1.7%
128.405803 1
1.7%
128.4063281 1
1.7%
128.4131292 1
1.7%
128.4191581 1
1.7%
128.4238394 1
1.7%
128.4264452 1
1.7%
128.4285013 1
1.7%
ValueCountFrequency (%)
128.6658929 1
1.7%
128.6472398 1
1.7%
128.627564 1
1.7%
128.6244551 1
1.7%
128.623244 1
1.7%
128.4964844 1
1.7%
128.4964446 1
1.7%
128.494521 1
1.7%
128.4938106 1
1.7%
128.4927641 1
1.7%

전화번호
Text

MISSING 

Distinct57
Distinct (%)98.3%
Missing2
Missing (%)3.3%
Memory size612.0 B
2024-03-23T07:12:03.838341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters698
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

Unique56 ?
Unique (%)96.6%

Sample

1st row053-642-5182
2nd row053-584-8996
3rd row070-4304-0610
4th row070-4304-0630
5th row053-614-1152
ValueCountFrequency (%)
053-642-5182 2
 
3.4%
053-615-8808 1
 
1.7%
053-617-8582 1
 
1.7%
053-587-5151 1
 
1.7%
053-632-2333 1
 
1.7%
053-614-7855 1
 
1.7%
053-615-9977 1
 
1.7%
053-583-5199 1
 
1.7%
053-767-5333 1
 
1.7%
053-616-8181 1
 
1.7%
Other values (47) 47
81.0%
2024-03-23T07:12:05.638146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 116
16.6%
5 107
15.3%
0 97
13.9%
3 83
11.9%
6 70
10.0%
1 63
9.0%
8 43
 
6.2%
4 33
 
4.7%
7 32
 
4.6%
2 31
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 582
83.4%
Dash Punctuation 116
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 107
18.4%
0 97
16.7%
3 83
14.3%
6 70
12.0%
1 63
10.8%
8 43
7.4%
4 33
 
5.7%
7 32
 
5.5%
2 31
 
5.3%
9 23
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 698
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 116
16.6%
5 107
15.3%
0 97
13.9%
3 83
11.9%
6 70
10.0%
1 63
9.0%
8 43
 
6.2%
4 33
 
4.7%
7 32
 
4.6%
2 31
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 698
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 116
16.6%
5 107
15.3%
0 97
13.9%
3 83
11.9%
6 70
10.0%
1 63
9.0%
8 43
 
6.2%
4 33
 
4.7%
7 32
 
4.6%
2 31
 
4.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2024-03-19 00:00:00
Maximum2024-03-19 00:00:00
2024-03-23T07:12:06.221070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:12:06.894599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T07:11:51.436009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:49.487263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:50.383530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:51.752373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:49.825387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:50.672352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:52.065951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:50.109195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:51.073201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:12:07.286453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업장명사업장 소재지위도경도전화번호
순번1.0001.0001.0000.4340.0000.925
사업장명1.0001.0001.0001.0001.0001.000
사업장 소재지1.0001.0001.0001.0001.0001.000
위도0.4341.0001.0001.0000.7311.000
경도0.0001.0001.0000.7311.0001.000
전화번호0.9251.0001.0001.0001.0001.000
2024-03-23T07:12:07.732234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.000-0.0650.138
위도-0.0651.0000.456
경도0.1380.4561.000

Missing values

2024-03-23T07:11:52.580499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:11:53.299264image/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

순번회사구분사업장명사업장 소재지영업여부위도경도전화번호데이터기준일자
01주유소(주)미니E주유소대구 달성군 다사읍 서재로31길 2영업35.877039128.496445<NA>2024-03-19
12주유소(주)우리주유소 하나로지점대구 달성군 화원읍 화암로 3영업35.798586128.48998053-642-51822024-03-19
23주유소(주)조광주유소대구 달성군 다사읍 세천로 98영업35.8731128.471924053-584-89962024-03-19
34주유소㈜한라석유 논공(광주방향) 휴게소대구 달성군 논공읍 광주대구고속도로 169영업35.7673128.403181070-4304-06102024-03-19
45주유소㈜한라석유 논공(대구방향) 휴게소대구 달성군 논공읍 광주대구고속도로 170영업35.76457128.402769070-4304-06302024-03-19
56주유소(주)테크노주유소대구 달성군 유가면 테크노순환로 230영업35.683858128.468749053-614-11522024-03-19
67주유소가람주유소대구 달성군 현풍면 비슬로 799영업35.707099128.436594053-616-51822024-03-19
78주유소가창농협주유소대구 달성군 가창면 가창로 1124영업35.804358128.623244053-768-65072024-03-19
89주유소경인주유소대구 달성군 논공읍 논공로 842영업35.727029128.436227053-623-55472024-03-19
910주유소구지주유소대구 달성군 현풍면 국가산단북로 368영업35.665882128.430967053-614-27002024-03-19
순번회사구분사업장명사업장 소재지영업여부위도경도전화번호데이터기준일자
5051주유소한정주유소대구 달성군 구지면 비슬로 167영업35.655304128.452026053-615-55222024-03-19
5152주유소행운주유소대구 달성군 가창면 가창로 1045영업35.797953128.624455053-768-08912024-03-19
5253주유소현풍농협주유소대구 달성군 현풍면 테크노북로 87영업35.696339128.452899053-614-09952024-03-19
5354주유소현풍하이패스주유소대구 달성군 현풍면 비슬로 732영업35.701706128.439725053-616-51882024-03-19
5455주유소홍토주유소/충전소대구 달성군 논공읍 비슬로 1065영업35.729138128.431242053-616-38002024-03-19
5556주유소화원농협주유소대구 달성군 화원읍 사문진로 420영업35.804679128.494521053-635-93402024-03-19
5657주유소화원유원지주유소대구 달성군 화원읍 사문진로 346영업35.807619128.487391053-635-42872024-03-19
5758주유소화원현대self주유소대구 달성군 화원읍 비슬로 2388영업35.794177128.481556053-631-72222024-03-19
5859주유소흥구석유(주)달성공단주유소대구 달성군 논공읍 논공중앙로33길 21영업35.731197128.452158053-614-14522024-03-19
5960주유소흥구석유㈜ 현풍고속주유소대구 달성군 현풍읍 국가산단북로 531영업35.671821128.446122053-614-51892024-03-19