Overview

Dataset statistics

Number of variables8
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory69.1 B

Variable types

Numeric3
Categorical1
Text3
DateTime1

Dataset

Description대구광역시 북구 관내에서 운영 중인 주유소현황(업종구분, 업체명, 소재지주소, 전화번호, 위도, 경도 등) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15030562/fileData.do

Alerts

업종구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
전화번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:04:08.459492
Analysis finished2023-12-12 09:04:09.995818
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T18:04:10.069585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2023-12-12T18:04:10.205590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

업종구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
주유소
64 

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 64
100.0%

Length

2023-12-12T18:04:10.337156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:04:10.431030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 64
100.0%

업체명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T18:04:10.665094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length8.6875
Min length5

Characters and Unicode

Total characters556
Distinct characters128
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

Unique64 ?
Unique (%)100.0%

Sample

1st row대망주유소
2nd row(주)아스트로 주유소
3rd row대성산업(주)대성주유소
4th row해바라기Self주유소
5th rowSK에너지(주)한일주유소
ValueCountFrequency (%)
대망주유소 1
 
1.5%
대성산업㈜복현대성주유소 1
 
1.5%
동서변주유소 1
 
1.5%
대구 1
 
1.5%
구도일주유소 1
 
1.5%
까치주유소 1
 
1.5%
소원주유소 1
 
1.5%
육일주유소 1
 
1.5%
에이치디현대오일뱅크㈜직영대구현대주유소 1
 
1.5%
주)아스트로 1
 
1.5%
Other values (58) 58
85.3%
2023-12-12T18:04:11.134644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 78
 
14.0%
유 68
 
12.2%
소 65
 
11.7%
대 22
 
4.0%
에 15
 
2.7%
( 13
 
2.3%
) 13
 
2.3%
지 12
 
2.2%
일 10
 
1.8%
구 9
 
1.6%
Other values (118) 251
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
88.5%
Uppercase Letter 21
 
3.8%
Open Punctuation 13
 
2.3%
Close Punctuation 13
 
2.3%
Other Symbol 7
 
1.3%
Space Separator 5
 
0.9%
Lowercase Letter 4
 
0.7%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 78
 
15.9%
유 68
 
13.8%
소 65
 
13.2%
대 22
 
4.5%
에 15
 
3.0%
지 12
 
2.4%
일 10
 
2.0%
구 9
 
1.8%
현 8
 
1.6%
치 7
 
1.4%
Other values (103) 198
40.2%
Uppercase Letter
ValueCountFrequency (%)
S 7
33.3%
K 7
33.3%
C 2
 
9.5%
I 2
 
9.5%
E 1
 
4.8%
L 1
 
4.8%
F 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
f 1
25.0%
l 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
89.7%
Common 32
 
5.8%
Latin 25
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 78
 
15.6%
유 68
 
13.6%
소 65
 
13.0%
대 22
 
4.4%
에 15
 
3.0%
지 12
 
2.4%
일 10
 
2.0%
구 9
 
1.8%
현 8
 
1.6%
㈜ 7
 
1.4%
Other values (104) 205
41.1%
Latin
ValueCountFrequency (%)
S 7
28.0%
K 7
28.0%
C 2
 
8.0%
I 2
 
8.0%
e 2
 
8.0%
E 1
 
4.0%
L 1
 
4.0%
F 1
 
4.0%
f 1
 
4.0%
l 1
 
4.0%
Common
ValueCountFrequency (%)
( 13
40.6%
) 13
40.6%
5
 
15.6%
2 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
88.5%
ASCII 57
 
10.3%
None 7
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 78
 
15.9%
유 68
 
13.8%
소 65
 
13.2%
대 22
 
4.5%
에 15
 
3.0%
지 12
 
2.4%
일 10
 
2.0%
구 9
 
1.8%
현 8
 
1.6%
치 7
 
1.4%
Other values (103) 198
40.2%
ASCII
ValueCountFrequency (%)
( 13
22.8%
) 13
22.8%
S 7
12.3%
K 7
12.3%
5
 
8.8%
C 2
 
3.5%
I 2
 
3.5%
e 2
 
3.5%
2 1
 
1.8%
E 1
 
1.8%
Other values (4) 4
 
7.0%
None
ValueCountFrequency (%)
㈜ 7
100.0%

전화번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T18:04:11.442192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters768
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

Unique64 ?
Unique (%)100.0%

Sample

1st row053-353-5182
2nd row053-351-8500
3rd row053-358-7922
4th row053-941-4289
5th row053-313-2100
ValueCountFrequency (%)
053-353-5182 1
 
1.6%
053-351-8500 1
 
1.6%
053-955-5189 1
 
1.6%
053-381-0030 1
 
1.6%
053-321-5185 1
 
1.6%
053-313-0413 1
 
1.6%
053-324-8851 1
 
1.6%
053-955-5185 1
 
1.6%
053-384-5104 1
 
1.6%
053-383-0051 1
 
1.6%
Other values (54) 54
84.4%
2023-12-12T18:04:12.168028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 142
18.5%
3 137
17.8%
- 128
16.7%
0 113
14.7%
1 82
10.7%
2 46
 
6.0%
4 35
 
4.6%
8 33
 
4.3%
7 18
 
2.3%
9 18
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
83.3%
Dash Punctuation 128
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 142
22.2%
3 137
21.4%
0 113
17.7%
1 82
12.8%
2 46
 
7.2%
4 35
 
5.5%
8 33
 
5.2%
7 18
 
2.8%
9 18
 
2.8%
6 16
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 142
18.5%
3 137
17.8%
- 128
16.7%
0 113
14.7%
1 82
10.7%
2 46
 
6.0%
4 35
 
4.6%
8 33
 
4.3%
7 18
 
2.3%
9 18
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 142
18.5%
3 137
17.8%
- 128
16.7%
0 113
14.7%
1 82
10.7%
2 46
 
6.0%
4 35
 
4.6%
8 33
 
4.3%
7 18
 
2.3%
9 18
 
2.3%

소재지도로명주소
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T18:04:12.520389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length23.390625
Min length21

Characters and Unicode

Total characters1497
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 중앙대로 601 (침산동)
2nd row대구광역시 북구 팔달로 215 (노원동2가)
3rd row대구광역시 북구 침산로 62 (칠성동2가)
4th row대구광역시 북구 대현로 81 (대현동)
5th row대구광역시 북구 칠곡중앙대로 315 (태전동)
ValueCountFrequency (%)
대구광역시 64
20.1%
북구 64
20.1%
산격동 12
 
3.8%
칠곡중앙대로 11
 
3.5%
태전동 7
 
2.2%
동북로 7
 
2.2%
노원로 7
 
2.2%
호국로 6
 
1.9%
노원동3가 6
 
1.9%
침산동 5
 
1.6%
Other values (97) 129
40.6%
2023-12-12T18:04:13.178562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
19.6%
구 133
 
8.9%
대 82
 
5.5%
동 76
 
5.1%
북 71
 
4.7%
) 65
 
4.3%
( 65
 
4.3%
광 64
 
4.3%
역 64
 
4.3%
시 64
 
4.3%
Other values (63) 520
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 888
59.3%
Space Separator 293
 
19.6%
Decimal Number 184
 
12.3%
Close Punctuation 65
 
4.3%
Open Punctuation 65
 
4.3%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 133
15.0%
대 82
 
9.2%
동 76
 
8.6%
북 71
 
8.0%
광 64
 
7.2%
역 64
 
7.2%
시 64
 
7.2%
로 64
 
7.2%
산 22
 
2.5%
노 15
 
1.7%
Other values (48) 233
26.2%
Decimal Number
ValueCountFrequency (%)
1 37
20.1%
2 28
15.2%
3 26
14.1%
4 20
10.9%
6 17
9.2%
5 14
 
7.6%
9 13
 
7.1%
0 12
 
6.5%
7 9
 
4.9%
8 8
 
4.3%
Space Separator
ValueCountFrequency (%)
293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 888
59.3%
Common 609
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 133
15.0%
대 82
 
9.2%
동 76
 
8.6%
북 71
 
8.0%
광 64
 
7.2%
역 64
 
7.2%
시 64
 
7.2%
로 64
 
7.2%
산 22
 
2.5%
노 15
 
1.7%
Other values (48) 233
26.2%
Common
ValueCountFrequency (%)
293
48.1%
) 65
 
10.7%
( 65
 
10.7%
1 37
 
6.1%
2 28
 
4.6%
3 26
 
4.3%
4 20
 
3.3%
6 17
 
2.8%
5 14
 
2.3%
9 13
 
2.1%
Other values (5) 31
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 888
59.3%
ASCII 609
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
48.1%
) 65
 
10.7%
( 65
 
10.7%
1 37
 
6.1%
2 28
 
4.6%
3 26
 
4.3%
4 20
 
3.3%
6 17
 
2.8%
5 14
 
2.3%
9 13
 
2.1%
Other values (5) 31
 
5.1%
Hangul
ValueCountFrequency (%)
구 133
15.0%
대 82
 
9.2%
동 76
 
8.6%
북 71
 
8.0%
광 64
 
7.2%
역 64
 
7.2%
시 64
 
7.2%
로 64
 
7.2%
산 22
 
2.5%
노 15
 
1.7%
Other values (48) 233
26.2%

위도
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.909664
Minimum35.882038
Maximum35.958235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T18:04:13.392423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.882038
5-th percentile35.88485
Q135.893758
median35.902232
Q335.922784
95-th percentile35.950758
Maximum35.958235
Range0.07619734
Interquartile range (IQR)0.02902619

Descriptive statistics

Standard deviation0.021660867
Coefficient of variation (CV)0.0006032044
Kurtosis-0.58819953
Mean35.909664
Median Absolute Deviation (MAD)0.011357535
Skewness0.81328431
Sum2298.2185
Variance0.00046919317
MonotonicityNot monotonic
2023-12-12T18:04:13.597370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.88657752 1
 
1.6%
35.90217468 1
 
1.6%
35.94062585 1
 
1.6%
35.94153355 1
 
1.6%
35.9320605 1
 
1.6%
35.92897422 1
 
1.6%
35.90232929 1
 
1.6%
35.91020834 1
 
1.6%
35.89889595 1
 
1.6%
35.95823497 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
35.88203763 1
1.6%
35.88311403 1
1.6%
35.88347158 1
1.6%
35.88461589 1
1.6%
35.88617783 1
1.6%
35.88625551 1
1.6%
35.88657752 1
1.6%
35.88824677 1
1.6%
35.88884496 1
1.6%
35.88930267 1
1.6%
ValueCountFrequency (%)
35.95823497 1
1.6%
35.95275525 1
1.6%
35.95123184 1
1.6%
35.95080283 1
1.6%
35.95050341 1
1.6%
35.94940321 1
1.6%
35.94736206 1
1.6%
35.94307196 1
1.6%
35.94153355 1
1.6%
35.9414875 1
1.6%

경도
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57584
Minimum128.5213
Maximum128.6245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T18:04:13.805415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5213
5-th percentile128.53483
Q1128.54969
median128.57297
Q3128.59955
95-th percentile128.61767
Maximum128.6245
Range0.1032018
Interquartile range (IQR)0.049861275

Descriptive statistics

Standard deviation0.02758601
Coefficient of variation (CV)0.00021455049
Kurtosis-1.1863524
Mean128.57584
Median Absolute Deviation (MAD)0.0248352
Skewness-0.055504598
Sum8228.8537
Variance0.00076098795
MonotonicityNot monotonic
2023-12-12T18:04:13.997882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5976346 1
 
1.6%
128.5958948 1
 
1.6%
128.5703141 1
 
1.6%
128.5576196 1
 
1.6%
128.5662966 1
 
1.6%
128.5984069 1
 
1.6%
128.5966089 1
 
1.6%
128.6075446 1
 
1.6%
128.6155654 1
 
1.6%
128.5662164 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
128.5213014 1
1.6%
128.525634 1
1.6%
128.5302648 1
1.6%
128.5339748 1
1.6%
128.5396443 1
1.6%
128.5418827 1
1.6%
128.5420186 1
1.6%
128.5420644 1
1.6%
128.5460639 1
1.6%
128.5465516 1
1.6%
ValueCountFrequency (%)
128.6245032 1
1.6%
128.6231197 1
1.6%
128.6184252 1
1.6%
128.6180468 1
1.6%
128.6155654 1
1.6%
128.6132172 1
1.6%
128.6080686 1
1.6%
128.6075446 1
1.6%
128.6063555 1
1.6%
128.6057058 1
1.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2023-06-22 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T18:04:14.148841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:14.275402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:04:09.449825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:08.775992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:09.055255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:09.571228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:08.861221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:09.180045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:09.677588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:08.966336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:04:09.340237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:04:14.383062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명전화번호소재지도로명주소위도경도
연번1.0001.0001.0001.0000.5850.000
업체명1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
위도0.5851.0001.0001.0001.0000.555
경도0.0001.0001.0001.0000.5551.000
2023-12-12T18:04:14.511351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.253-0.261
위도0.2531.000-0.294
경도-0.261-0.2941.000

Missing values

2023-12-12T18:04:09.805004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:04:09.936648image/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

연번업종구분업체명전화번호소재지도로명주소위도경도데이터기준일자
01주유소대망주유소053-353-5182대구광역시 북구 중앙대로 601 (침산동)35.886578128.5976352023-06-22
12주유소(주)아스트로 주유소053-351-8500대구광역시 북구 팔달로 215 (노원동2가)35.888247128.5732082023-06-22
23주유소대성산업(주)대성주유소053-358-7922대구광역시 북구 침산로 62 (칠성동2가)35.882038128.590082023-06-22
34주유소해바라기Self주유소053-941-4289대구광역시 북구 대현로 81 (대현동)35.883114128.6080692023-06-22
45주유소SK에너지(주)한일주유소053-313-2100대구광역시 북구 칠곡중앙대로 315 (태전동)35.923828128.5465522023-06-22
56주유소흥구석유(주)원대주유소053-357-8220대구광역시 북구 팔달로 67 (노원동3가)35.890868128.558092023-06-22
67주유소오페라주유소053-424-2524대구광역시 북구 중앙대로 580 (침산동)35.884616128.5975692023-06-22
78주유소대기주유소053-214-4800대구광역시 북구 팔달로 41 (노원동3가)35.891235128.5549722023-06-22
89주유소에이치디현대오일뱅크㈜직영칠곡주유소053-324-0414대구광역시 북구 칠곡중앙대로 482 (읍내동)35.93856128.5499492023-06-22
910주유소대훈남주유소053-314-2500대구광역시 북구 칠곡중앙대로 174 (태전동)35.91137128.548922023-06-22
연번업종구분업체명전화번호소재지도로명주소위도경도데이터기준일자
5455주유소덕영주유소053-314-0051대구광역시 북구 매천로 290 (태전동)35.922436128.5396442023-06-22
5556주유소동로주유소053-954-4801대구광역시 북구 신천동로 714 (대현동)35.883472128.602612023-06-22
5657주유소대구주선합동터미널주유소053-314-5157대구광역시 북구 서재로 540 (금호동)35.886256128.5302652023-06-22
5758주유소산동주유소053-358-2381대구광역시 북구 노원로 28 (노원동3가)35.891555128.5660522023-06-22
5859주유소화성제2주유소053-323-5155대구광역시 북구 사수로 523 (팔달동)35.894753128.5339752023-06-22
5960주유소패밀리주유소053-311-5155대구광역시 북구 칠곡중앙대로 146 (태전동)35.908728128.548622023-06-22
6061주유소에이치디현대오일뱅크㈜직영 금호셀프주유소053-312-7667대구광역시 북구 사수로 436(금호동)35.895371128.5256342023-06-22
6162주유소미니주유소053-253-5150대구광역시 북구 침산남로 224(침산동)35.886178128.5999452023-06-22
6263주유소(주)에이치씨대하에너지 연경주유소053-210-5151대구광역시 북구 동화천로 207(연경동)35.941488128.6132172023-06-22
6364주유소천지주유소053-312-0072대구광역시 북구 사수로 369(사수동)35.896394128.5213012023-06-22