Overview

Dataset statistics

Number of variables8
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory71.3 B

Variable types

Numeric3
Text3
Categorical1
Boolean1

Dataset

Description인천광역시 미추홀구 내 주유소 현황 데이터로 상호명, 도로명주소, 좌표값, 전화번호, 셀프여부 등의 정보를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15016231&srcSe=7661IVAWM27C61E190

Alerts

경도 is highly overall correlated with 셀프여부High correlation
셀프여부 is highly overall correlated with 경도High correlation
연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:53:50.361647
Analysis finished2024-01-28 08:53:51.496773
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T17:53:51.543947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-01-28T17:53:51.637624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

상호명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T17:53:51.817012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.5806452
Min length4

Characters and Unicode

Total characters266
Distinct characters90
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row케이제이에너지 경인터미널
2nd row동원주유소
3rd row인하주유소
4th row명보주유소
5th rowKH에너지직영청도1주유소
ValueCountFrequency (%)
현대오일뱅크직영 2
 
5.4%
케이제이에너지 1
 
2.7%
경인터미널 1
 
2.7%
태하셀프주유소 1
 
2.7%
한진 1
 
2.7%
인천터미널주유소 1
 
2.7%
미추홀셀프주유소 1
 
2.7%
인천셀프주유소 1
 
2.7%
석암주유소 1
 
2.7%
장안석유 1
 
2.7%
Other values (26) 26
70.3%
2024-01-28T17:53:52.153788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 31
 
11.7%
소 29
 
10.9%
주 29
 
10.9%
지 8
 
3.0%
에 7
 
2.6%
인 7
 
2.6%
프 6
 
2.3%
이 6
 
2.3%
6
 
2.3%
셀 6
 
2.3%
Other values (80) 131
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
93.2%
Uppercase Letter 8
 
3.0%
Space Separator 6
 
2.3%
Decimal Number 3
 
1.1%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 31
 
12.5%
소 29
 
11.7%
주 29
 
11.7%
지 8
 
3.2%
에 7
 
2.8%
인 7
 
2.8%
프 6
 
2.4%
이 6
 
2.4%
셀 6
 
2.4%
천 5
 
2.0%
Other values (73) 114
46.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
50.0%
S 3
37.5%
H 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
93.6%
Common 9
 
3.4%
Latin 8
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 31
 
12.4%
소 29
 
11.6%
주 29
 
11.6%
지 8
 
3.2%
에 7
 
2.8%
인 7
 
2.8%
프 6
 
2.4%
이 6
 
2.4%
셀 6
 
2.4%
천 5
 
2.0%
Other values (74) 115
46.2%
Common
ValueCountFrequency (%)
6
66.7%
1 2
 
22.2%
2 1
 
11.1%
Latin
ValueCountFrequency (%)
K 4
50.0%
S 3
37.5%
H 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
93.2%
ASCII 17
 
6.4%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 31
 
12.5%
소 29
 
11.7%
주 29
 
11.7%
지 8
 
3.2%
에 7
 
2.8%
인 7
 
2.8%
프 6
 
2.4%
이 6
 
2.4%
셀 6
 
2.4%
천 5
 
2.0%
Other values (73) 114
46.0%
ASCII
ValueCountFrequency (%)
6
35.3%
K 4
23.5%
S 3
17.6%
1 2
 
11.8%
2 1
 
5.9%
H 1
 
5.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T17:53:52.337372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.516129
Min length23

Characters and Unicode

Total characters760
Distinct characters69
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

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 봉수대로 54 (도화동)
2nd row인천광역시 미추홀구 참외전로 343 (숭의동)
3rd row인천광역시 미추홀구 인하로 130 (용현동)
4th row인천광역시 미추홀구 인하로 217 (주안동)
5th row인천광역시 미추홀구 경원대로 813-9 (주안동)
ValueCountFrequency (%)
인천광역시 31
20.0%
미추홀구 31
20.0%
주안동 9
 
5.8%
도화동 5
 
3.2%
숭의동 5
 
3.2%
인주대로 5
 
3.2%
용현동 5
 
3.2%
학익동 4
 
2.6%
석정로 3
 
1.9%
소성로 3
 
1.9%
Other values (46) 54
34.8%
2024-01-28T17:53:52.617228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
16.3%
인 40
 
5.3%
홀 33
 
4.3%
구 32
 
4.2%
광 31
 
4.1%
역 31
 
4.1%
시 31
 
4.1%
미 31
 
4.1%
추 31
 
4.1%
천 31
 
4.1%
Other values (59) 345
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
63.7%
Space Separator 124
 
16.3%
Decimal Number 89
 
11.7%
Close Punctuation 31
 
4.1%
Open Punctuation 31
 
4.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 40
 
8.3%
홀 33
 
6.8%
구 32
 
6.6%
광 31
 
6.4%
역 31
 
6.4%
시 31
 
6.4%
미 31
 
6.4%
추 31
 
6.4%
천 31
 
6.4%
동 31
 
6.4%
Other values (45) 162
33.5%
Decimal Number
ValueCountFrequency (%)
4 16
18.0%
3 14
15.7%
2 14
15.7%
1 12
13.5%
5 10
11.2%
9 9
10.1%
8 7
7.9%
6 3
 
3.4%
7 3
 
3.4%
0 1
 
1.1%
Space Separator
ValueCountFrequency (%)
124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 484
63.7%
Common 276
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 40
 
8.3%
홀 33
 
6.8%
구 32
 
6.6%
광 31
 
6.4%
역 31
 
6.4%
시 31
 
6.4%
미 31
 
6.4%
추 31
 
6.4%
천 31
 
6.4%
동 31
 
6.4%
Other values (45) 162
33.5%
Common
ValueCountFrequency (%)
124
44.9%
) 31
 
11.2%
( 31
 
11.2%
4 16
 
5.8%
3 14
 
5.1%
2 14
 
5.1%
1 12
 
4.3%
5 10
 
3.6%
9 9
 
3.3%
8 7
 
2.5%
Other values (4) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
63.7%
ASCII 276
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
44.9%
) 31
 
11.2%
( 31
 
11.2%
4 16
 
5.8%
3 14
 
5.1%
2 14
 
5.1%
1 12
 
4.3%
5 10
 
3.6%
9 9
 
3.3%
8 7
 
2.5%
Other values (4) 8
 
2.9%
Hangul
ValueCountFrequency (%)
인 40
 
8.3%
홀 33
 
6.8%
구 32
 
6.6%
광 31
 
6.4%
역 31
 
6.4%
시 31
 
6.4%
미 31
 
6.4%
추 31
 
6.4%
천 31
 
6.4%
동 31
 
6.4%
Other values (45) 162
33.5%

위도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455379
Minimum37.438233
Maximum37.481295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T17:53:52.718146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438233
5-th percentile37.438483
Q137.447509
median37.455171
Q337.464419
95-th percentile37.475749
Maximum37.481295
Range0.04306213
Interquartile range (IQR)0.01691068

Descriptive statistics

Standard deviation0.011805212
Coefficient of variation (CV)0.00031518069
Kurtosis-0.62786213
Mean37.455379
Median Absolute Deviation (MAD)0.00858187
Skewness0.34266594
Sum1161.1167
Variance0.00013936304
MonotonicityNot monotonic
2024-01-28T17:53:52.815453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.48129491 1
 
3.2%
37.46644643 1
 
3.2%
37.44708125 1
 
3.2%
37.43959923 1
 
3.2%
37.45904788 1
 
3.2%
37.45052676 1
 
3.2%
37.44338699 1
 
3.2%
37.45970952 1
 
3.2%
37.46311225 1
 
3.2%
37.45775721 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
37.43823278 1
3.2%
37.43839941 1
3.2%
37.43856676 1
3.2%
37.43959923 1
3.2%
37.4421968 1
3.2%
37.44250623 1
3.2%
37.44338699 1
3.2%
37.44708125 1
3.2%
37.44793625 1
3.2%
37.44873486 1
3.2%
ValueCountFrequency (%)
37.48129491 1
3.2%
37.47587918 1
3.2%
37.47561833 1
3.2%
37.4681873 1
3.2%
37.46686457 1
3.2%
37.46644643 1
3.2%
37.46558074 1
3.2%
37.46508557 1
3.2%
37.46375329 1
3.2%
37.46311225 1
3.2%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66629
Minimum126.63066
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T17:53:52.911415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63066
5-th percentile126.63862
Q1126.65267
median126.66736
Q3126.68086
95-th percentile126.69253
Maximum126.70152
Range0.0708609
Interquartile range (IQR)0.02818335

Descriptive statistics

Standard deviation0.017914184
Coefficient of variation (CV)0.00014142819
Kurtosis-0.63306781
Mean126.66629
Median Absolute Deviation (MAD)0.0143621
Skewness-0.027824979
Sum3926.655
Variance0.00032091798
MonotonicityNot monotonic
2024-01-28T17:53:53.013987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.6575332 1
 
3.2%
126.6523506 1
 
3.2%
126.6529983 1
 
3.2%
126.63437 1
 
3.2%
126.6445319 1
 
3.2%
126.6306578 1
 
3.2%
126.650359 1
 
3.2%
126.6428675 1
 
3.2%
126.6458259 1
 
3.2%
126.6940601 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.6306578 1
3.2%
126.63437 1
3.2%
126.6428675 1
3.2%
126.6445319 1
3.2%
126.6458259 1
3.2%
126.650359 1
3.2%
126.651384 1
3.2%
126.6523506 1
3.2%
126.6529983 1
3.2%
126.6569798 1
3.2%
ValueCountFrequency (%)
126.7015187 1
3.2%
126.6940601 1
3.2%
126.6910039 1
3.2%
126.6890938 1
3.2%
126.685997 1
3.2%
126.6857896 1
3.2%
126.6831402 1
3.2%
126.6814244 1
3.2%
126.6802912 1
3.2%
126.6759349 1
3.2%

유형
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
SK에너지
13 
현대오일뱅크
7 
GS칼텍스
6 
S-OIL
4 
자가상표
 
1

Length

Max length6
Median length5
Mean length5.1935484
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row현대오일뱅크
2nd rowSK에너지
3rd rowSK에너지
4th rowGS칼텍스
5th rowSK에너지

Common Values

ValueCountFrequency (%)
SK에너지 13
41.9%
현대오일뱅크 7
22.6%
GS칼텍스 6
19.4%
S-OIL 4
 
12.9%
자가상표 1
 
3.2%

Length

2024-01-28T17:53:53.127826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:53:53.229917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sk에너지 13
41.9%
현대오일뱅크 7
22.6%
gs칼텍스 6
19.4%
s-oil 4
 
12.9%
자가상표 1
 
3.2%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T17:53:53.397132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row032-766-5188
2nd row032-773-5811
3rd row032-867-5101
4th row032-872-5511
5th row032-426-0001
ValueCountFrequency (%)
032-766-5188 1
 
3.2%
032-431-0024 1
 
3.2%
032-832-5438 1
 
3.2%
032-886-6156 1
 
3.2%
032-888-0456 1
 
3.2%
032-865-2071 1
 
3.2%
032-886-5198 1
 
3.2%
032-888-0110 1
 
3.2%
032-434-4961 1
 
3.2%
032-864-7565 1
 
3.2%
Other values (21) 21
67.7%
2024-01-28T17:53:53.660177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.7%
0 48
12.9%
2 48
12.9%
3 42
11.3%
8 39
10.5%
1 30
8.1%
5 29
7.8%
6 24
 
6.5%
4 24
 
6.5%
7 16
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
15.5%
2 48
15.5%
3 42
13.5%
8 39
12.6%
1 30
9.7%
5 29
9.4%
6 24
7.7%
4 24
7.7%
7 16
 
5.2%
9 10
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.7%
0 48
12.9%
2 48
12.9%
3 42
11.3%
8 39
10.5%
1 30
8.1%
5 29
7.8%
6 24
 
6.5%
4 24
 
6.5%
7 16
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.7%
0 48
12.9%
2 48
12.9%
3 42
11.3%
8 39
10.5%
1 30
8.1%
5 29
7.8%
6 24
 
6.5%
4 24
 
6.5%
7 16
 
4.3%

셀프여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size163.0 B
True
20 
False
11 
ValueCountFrequency (%)
True 20
64.5%
False 11
35.5%
2024-01-28T17:53:53.758532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-01-28T17:53:51.104131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:50.677460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:50.895210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:51.194190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:50.753002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:50.970781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:51.265121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:50.823887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:53:51.028767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:53:54.091743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소위도경도유형전화번호셀프여부
연번1.0001.0001.0000.0000.7200.1041.0000.670
상호명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0000.0000.0001.0000.391
경도0.7201.0001.0000.0001.0000.0001.0000.848
유형0.1041.0001.0000.0000.0001.0001.0000.272
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
셀프여부0.6701.0001.0000.3910.8480.2721.0001.000
2024-01-28T17:53:54.172697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형셀프여부
유형1.0000.308
셀프여부0.3081.000
2024-01-28T17:53:54.241344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도유형셀프여부
연번1.000-0.135-0.3210.0000.209
위도-0.1351.000-0.1400.0000.329
경도-0.321-0.1401.0000.0000.575
유형0.0000.0000.0001.0000.308
셀프여부0.2090.3290.5750.3081.000

Missing values

2024-01-28T17:53:51.366238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:53:51.459942image/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

연번상호명도로명주소위도경도유형전화번호셀프여부
01케이제이에너지 경인터미널인천광역시 미추홀구 봉수대로 54 (도화동)37.481295126.657533현대오일뱅크032-766-5188Y
12동원주유소인천광역시 미추홀구 참외전로 343 (숭의동)37.466446126.652351SK에너지032-773-5811Y
23인하주유소인천광역시 미추홀구 인하로 130 (용현동)37.4494126.662519SK에너지032-867-5101Y
34명보주유소인천광역시 미추홀구 인하로 217 (주안동)37.448735126.672279GS칼텍스032-872-5511Y
45KH에너지직영청도1주유소인천광역시 미추홀구 경원대로 813-9 (주안동)37.455171126.689094SK에너지032-426-0001Y
56제물포하이웨이주유소인천광역시 미추홀구 경인로 194 (도화동)37.465086126.664135현대오일뱅크032-875-5459Y
67황금주유소인천광역시 미추홀구 소성로 253 (학익동)37.438567126.675935SK에너지032-872-1515N
78다솜주유소인천광역시 미추홀구 한나루로 482 (주안동)37.449969126.667589현대오일뱅크032-873-8547Y
89통일주유소인천광역시 미추홀구 인주대로 189 (용현동)37.455594126.657962SK에너지032-868-0051Y
910SK큰나무셀프주유소인천광역시 미추홀구 매소홀로 536 (문학동)37.438399126.681424S-OIL032-439-5189Y
연번상호명도로명주소위도경도유형전화번호셀프여부
2122현대오일뱅크직영 미추홀셀프주유소인천광역시 미추홀구 인주대로 394 (주안동)37.451043126.680291SK에너지032-422-6152Y
2223현대오일뱅크직영 인천셀프주유소인천광역시 미추홀구 송림로 328 (도화동)37.475879126.669471SK에너지032-864-7565Y
2324석암주유소인천광역시 미추홀구 구월로 35 (주안동)37.457757126.69406SK에너지032-434-4961Y
2425장안석유 장안주유소인천광역시 미추홀구 독배로492번길 42 (숭의동)37.463112126.645826S-OIL032-888-0110N
2526SK에너지남강주유소인천광역시 미추홀구 인주대로 43 (숭의동)37.45971126.642867SK에너지032-886-5198Y
2627에스지씨솔루션㈜인천2지점인천광역시 미추홀구 노적산로 1 (학익동)37.443387126.650359현대오일뱅크032-865-2071N
2728고속주유소인천광역시 미추홀구 아암대로 128 (용현동)37.450527126.630658GS칼텍스032-888-0456N
2829공성주유소인천광역시 미추홀구 인주대로 59 (숭의동)37.459048126.644532현대오일뱅크032-886-6156Y
2930에스지씨이테크건설 인천제1지점인천광역시 미추홀구 아암대로253번길 14 (학익동)37.439599126.63437GS칼텍스032-832-5438N
3031에스케이셀프서비스주유소인천광역시 미추홀구 소성로 32 (용현동)37.447081126.652998SK에너지032-864-0248Y