Overview

Dataset statistics

Number of variables11
Number of observations62
Missing cells183
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory91.1 B

Variable types

Text4
DateTime5
Numeric1
Categorical1

Dataset

Description울산광역시 남구 주유소 현황에 대한 데이터로 사업장명, 소재지번주소, 소재지도로명주소, 인허가일자 등의 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/3076231/fileData.do

Alerts

휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
재개업일자 has constant value ""Constant
사업구분명 has constant value ""Constant
휴업시작일자 has 61 (98.4%) missing valuesMissing
휴업종료일자 has 61 (98.4%) missing valuesMissing
재개업일자 has 61 (98.4%) missing valuesMissing
사업장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:40:37.934552
Analysis finished2023-12-12 01:40:39.051198
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T10:40:39.252731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.5
Min length5

Characters and Unicode

Total characters589
Distinct characters129
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row(주)삼양주유소
2nd row(주)일광주유소
3rd row(주)종하아이앤씨 유명주유소
4th row(주)좋은기름나라 금강주유소지점
5th row(주)좋은기름나라 상개주유소지점
ValueCountFrequency (%)
구도일주유소 3
 
3.4%
sk에너지(주 2
 
2.3%
지에스칼텍스㈜ 2
 
2.3%
대양석유(주 2
 
2.3%
주)좋은기름나라 2
 
2.3%
주유소 2
 
2.3%
sk 2
 
2.3%
오성서비스(주 1
 
1.1%
삼일주유소 1
 
1.1%
봉월로 1
 
1.1%
Other values (70) 70
79.5%
2023-12-12T10:40:39.687027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 78
 
13.2%
유 66
 
11.2%
소 60
 
10.2%
26
 
4.4%
( 21
 
3.6%
) 21
 
3.6%
동 13
 
2.2%
지 12
 
2.0%
대 10
 
1.7%
㈜ 9
 
1.5%
Other values (119) 273
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
85.2%
Space Separator 26
 
4.4%
Open Punctuation 21
 
3.6%
Close Punctuation 21
 
3.6%
Uppercase Letter 10
 
1.7%
Other Symbol 9
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 78
 
15.5%
유 66
 
13.1%
소 60
 
12.0%
동 13
 
2.6%
지 12
 
2.4%
대 10
 
2.0%
스 8
 
1.6%
에 8
 
1.6%
신 7
 
1.4%
산 7
 
1.4%
Other values (113) 233
46.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
50.0%
K 5
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
86.8%
Common 68
 
11.5%
Latin 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 78
 
15.3%
유 66
 
12.9%
소 60
 
11.7%
동 13
 
2.5%
지 12
 
2.3%
대 10
 
2.0%
㈜ 9
 
1.8%
스 8
 
1.6%
에 8
 
1.6%
신 7
 
1.4%
Other values (114) 240
47.0%
Common
ValueCountFrequency (%)
26
38.2%
( 21
30.9%
) 21
30.9%
Latin
ValueCountFrequency (%)
S 5
50.0%
K 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
85.2%
ASCII 78
 
13.2%
None 9
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 78
 
15.5%
유 66
 
13.1%
소 60
 
12.0%
동 13
 
2.6%
지 12
 
2.4%
대 10
 
2.0%
스 8
 
1.6%
에 8
 
1.6%
신 7
 
1.4%
산 7
 
1.4%
Other values (113) 233
46.4%
ASCII
ValueCountFrequency (%)
26
33.3%
( 21
26.9%
) 21
26.9%
S 5
 
6.4%
K 5
 
6.4%
None
ValueCountFrequency (%)
㈜ 9
100.0%

소재지지번주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T10:40:40.012680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.145161
Min length15

Characters and Unicode

Total characters1125
Distinct characters42
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

Unique62 ?
Unique (%)100.0%

Sample

1st row울산광역시 남구 여천동 742-1
2nd row울산광역시 남구 상개동 311-1
3rd row울산광역시 남구 달동 1297-15
4th row울산광역시 남구 상개동 325-3
5th row울산광역시 남구 상개동 309-2
ValueCountFrequency (%)
울산광역시 62
24.8%
남구 62
24.8%
삼산동 10
 
4.0%
신정동 10
 
4.0%
상개동 8
 
3.2%
야음동 7
 
2.8%
무거동 6
 
2.4%
옥동 4
 
1.6%
달동 4
 
1.6%
두왕동 4
 
1.6%
Other values (69) 73
29.2%
2023-12-12T10:40:40.499764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
16.7%
산 73
 
6.5%
1 71
 
6.3%
남 62
 
5.5%
동 62
 
5.5%
구 62
 
5.5%
울 62
 
5.5%
시 62
 
5.5%
역 62
 
5.5%
광 62
 
5.5%
Other values (32) 359
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
54.5%
Decimal Number 268
23.8%
Space Separator 188
 
16.7%
Dash Punctuation 56
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 73
11.9%
남 62
10.1%
동 62
10.1%
구 62
10.1%
울 62
10.1%
시 62
10.1%
역 62
10.1%
광 62
10.1%
삼 10
 
1.6%
정 10
 
1.6%
Other values (20) 86
14.0%
Decimal Number
ValueCountFrequency (%)
1 71
26.5%
2 31
11.6%
5 29
10.8%
3 28
 
10.4%
6 24
 
9.0%
4 21
 
7.8%
7 17
 
6.3%
9 17
 
6.3%
8 16
 
6.0%
0 14
 
5.2%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
54.5%
Common 512
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 73
11.9%
남 62
10.1%
동 62
10.1%
구 62
10.1%
울 62
10.1%
시 62
10.1%
역 62
10.1%
광 62
10.1%
삼 10
 
1.6%
정 10
 
1.6%
Other values (20) 86
14.0%
Common
ValueCountFrequency (%)
188
36.7%
1 71
 
13.9%
- 56
 
10.9%
2 31
 
6.1%
5 29
 
5.7%
3 28
 
5.5%
6 24
 
4.7%
4 21
 
4.1%
7 17
 
3.3%
9 17
 
3.3%
Other values (2) 30
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
54.5%
ASCII 512
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
36.7%
1 71
 
13.9%
- 56
 
10.9%
2 31
 
6.1%
5 29
 
5.7%
3 28
 
5.5%
6 24
 
4.7%
4 21
 
4.1%
7 17
 
3.3%
9 17
 
3.3%
Other values (2) 30
 
5.9%
Hangul
ValueCountFrequency (%)
산 73
11.9%
남 62
10.1%
동 62
10.1%
구 62
10.1%
울 62
10.1%
시 62
10.1%
역 62
10.1%
광 62
10.1%
삼 10
 
1.6%
정 10
 
1.6%
Other values (20) 86
14.0%

소재지도로명주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T10:40:40.840469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length15.919355
Min length15

Characters and Unicode

Total characters987
Distinct characters59
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

Unique62 ?
Unique (%)100.0%

Sample

1st row울산광역시 남구 장생포로 79
2nd row울산광역시 남구 산업로 93
3rd row울산광역시 남구 꽃대나리로 15
4th row울산광역시 남구 상개로 214
5th row울산광역시 남구 산업로 92
ValueCountFrequency (%)
울산광역시 62
24.9%
남구 62
24.9%
산업로 11
 
4.4%
문수로 4
 
1.6%
화합로 4
 
1.6%
월평로 4
 
1.6%
수암로 4
 
1.6%
두왕로 4
 
1.6%
남산로 4
 
1.6%
장생포로 3
 
1.2%
Other values (72) 87
34.9%
2023-12-12T10:40:41.415128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
18.9%
산 80
 
8.1%
남 69
 
7.0%
울 62
 
6.3%
광 62
 
6.3%
역 62
 
6.3%
시 62
 
6.3%
구 62
 
6.3%
로 62
 
6.3%
1 29
 
2.9%
Other values (49) 250
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
64.6%
Space Separator 187
 
18.9%
Decimal Number 162
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 80
12.5%
남 69
10.8%
울 62
9.7%
광 62
9.7%
역 62
9.7%
시 62
9.7%
구 62
9.7%
로 62
9.7%
업 11
 
1.7%
수 8
 
1.3%
Other values (38) 98
15.4%
Decimal Number
ValueCountFrequency (%)
1 29
17.9%
2 26
16.0%
7 19
11.7%
9 18
11.1%
6 15
9.3%
3 13
8.0%
5 12
7.4%
4 12
7.4%
8 9
 
5.6%
0 9
 
5.6%
Space Separator
ValueCountFrequency (%)
187
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
64.6%
Common 349
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 80
12.5%
남 69
10.8%
울 62
9.7%
광 62
9.7%
역 62
9.7%
시 62
9.7%
구 62
9.7%
로 62
9.7%
업 11
 
1.7%
수 8
 
1.3%
Other values (38) 98
15.4%
Common
ValueCountFrequency (%)
187
53.6%
1 29
 
8.3%
2 26
 
7.4%
7 19
 
5.4%
9 18
 
5.2%
6 15
 
4.3%
3 13
 
3.7%
5 12
 
3.4%
4 12
 
3.4%
8 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
64.6%
ASCII 349
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
53.6%
1 29
 
8.3%
2 26
 
7.4%
7 19
 
5.4%
9 18
 
5.2%
6 15
 
4.3%
3 13
 
3.7%
5 12
 
3.4%
4 12
 
3.4%
8 9
 
2.6%
Hangul
ValueCountFrequency (%)
산 80
12.5%
남 69
10.8%
울 62
9.7%
광 62
9.7%
역 62
9.7%
시 62
9.7%
구 62
9.7%
로 62
9.7%
업 11
 
1.7%
수 8
 
1.3%
Other values (38) 98
15.4%

인허가일자
Date

Distinct56
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum1976-05-15 00:00:00
Maximum2021-02-04 00:00:00
2023-12-12T10:40:41.621887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:41.820722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing61
Missing (%)98.4%
Memory size628.0 B
Minimum2022-06-13 00:00:00
Maximum2022-06-13 00:00:00
2023-12-12T10:40:41.978359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:42.114826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing61
Missing (%)98.4%
Memory size628.0 B
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-12T10:40:42.219620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:42.340555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing61
Missing (%)98.4%
Memory size628.0 B
Minimum2023-06-01 00:00:00
Maximum2023-06-01 00:00:00
2023-12-12T10:40:42.477728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:42.588572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

소재지면적(제곱미터)
Real number (ℝ)

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1301.685
Minimum455.8
Maximum3366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T10:40:42.732057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum455.8
5-th percentile525.3
Q1851.1
median1101
Q31613
95-th percentile3010.4415
Maximum3366
Range2910.2
Interquartile range (IQR)761.9

Descriptive statistics

Standard deviation677.24244
Coefficient of variation (CV)0.52028136
Kurtosis1.8124147
Mean1301.685
Median Absolute Deviation (MAD)351.5
Skewness1.4080096
Sum80704.47
Variance458657.32
MonotonicityNot monotonic
2023-12-12T10:40:43.272755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1981.0 2
 
3.2%
1101.0 2
 
3.2%
993.0 2
 
3.2%
588.0 1
 
1.6%
1302.0 1
 
1.6%
3205.0 1
 
1.6%
1003.7 1
 
1.6%
1705.0 1
 
1.6%
1130.3 1
 
1.6%
1753.0 1
 
1.6%
Other values (49) 49
79.0%
ValueCountFrequency (%)
455.8 1
1.6%
470.0 1
1.6%
488.0 1
1.6%
522.0 1
1.6%
588.0 1
1.6%
657.0 1
1.6%
685.0 1
1.6%
695.2 1
1.6%
707.1 1
1.6%
730.7 1
1.6%
ValueCountFrequency (%)
3366.0 1
1.6%
3205.0 1
1.6%
3078.0 1
1.6%
3040.57 1
1.6%
2438.0 1
1.6%
2312.0 1
1.6%
2168.0 1
1.6%
1981.0 2
3.2%
1865.2 1
1.6%
1753.0 1
1.6%

사업개시예정일
Date

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum1976-05-15 00:00:00
Maximum2023-06-01 00:00:00
2023-12-12T10:40:43.470131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:43.643253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
주유소
62 

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 62
100.0%

Length

2023-12-12T10:40:43.830157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:43.951764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 62
100.0%

전화번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T10:40:44.253034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters744
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

Unique62 ?
Unique (%)100.0%

Sample

1st row052-273-7488
2nd row052-260-6860
3rd row052-265-0015
4th row052-272-5189
5th row052-256-2238
ValueCountFrequency (%)
052-273-7488 1
 
1.6%
052-227-9118 1
 
1.6%
052-266-7565 1
 
1.6%
052-261-9993 1
 
1.6%
052-272-7200 1
 
1.6%
052-268-0906 1
 
1.6%
052-256-7247 1
 
1.6%
052-277-3030 1
 
1.6%
052-266-8887 1
 
1.6%
052-260-0100 1
 
1.6%
Other values (52) 52
83.9%
2023-12-12T10:40:44.733940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 160
21.5%
- 124
16.7%
5 110
14.8%
0 103
13.8%
6 57
 
7.7%
7 44
 
5.9%
1 39
 
5.2%
3 30
 
4.0%
4 29
 
3.9%
8 26
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 620
83.3%
Dash Punctuation 124
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 160
25.8%
5 110
17.7%
0 103
16.6%
6 57
 
9.2%
7 44
 
7.1%
1 39
 
6.3%
3 30
 
4.8%
4 29
 
4.7%
8 26
 
4.2%
9 22
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 744
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 160
21.5%
- 124
16.7%
5 110
14.8%
0 103
13.8%
6 57
 
7.7%
7 44
 
5.9%
1 39
 
5.2%
3 30
 
4.0%
4 29
 
3.9%
8 26
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 744
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 160
21.5%
- 124
16.7%
5 110
14.8%
0 103
13.8%
6 57
 
7.7%
7 44
 
5.9%
1 39
 
5.2%
3 30
 
4.0%
4 29
 
3.9%
8 26
 
3.5%

Interactions

2023-12-12T10:40:38.504032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:40:44.851031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명소재지지번주소소재지도로명주소인허가일자소재지면적(제곱미터)사업개시예정일전화번호
사업장명1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
인허가일자1.0001.0001.0001.0000.2000.9671.000
소재지면적(제곱미터)1.0001.0001.0000.2001.0000.9231.000
사업개시예정일1.0001.0001.0000.9670.9231.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T10:40:38.641705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:40:38.820673image/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.
2023-12-12T10:40:38.954944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업장명소재지지번주소소재지도로명주소인허가일자휴업시작일자휴업종료일자재개업일자소재지면적(제곱미터)사업개시예정일사업구분명전화번호
0(주)삼양주유소울산광역시 남구 여천동 742-1울산광역시 남구 장생포로 791976-05-15<NA><NA><NA>1981.01976-05-15주유소052-273-7488
1(주)일광주유소울산광역시 남구 상개동 311-1울산광역시 남구 산업로 931999-06-07<NA><NA><NA>1746.02000-05-09주유소052-260-6860
2(주)종하아이앤씨 유명주유소울산광역시 남구 달동 1297-15울산광역시 남구 꽃대나리로 152008-10-31<NA><NA><NA>1403.22008-11-10주유소052-265-0015
3(주)좋은기름나라 금강주유소지점울산광역시 남구 상개동 325-3울산광역시 남구 상개로 2141995-12-29<NA><NA><NA>1592.01997-04-14주유소052-272-5189
4(주)좋은기름나라 상개주유소지점울산광역시 남구 상개동 309-2울산광역시 남구 산업로 922018-08-30<NA><NA><NA>3366.02018-08-30주유소052-256-2238
5(주)투게더주유소울산광역시 남구 야음동 220-1울산광역시 남구 신화로 1012002-11-27<NA><NA><NA>1101.02002-11-29주유소052-258-5859
6지에스칼텍스(주) 울산역주유소울산광역시 남구 삼산동 194 6울산광역시 남구 산업로 6772006-07-03<NA><NA><NA>1169.92006-07-04주유소052-269-5145
7다운타운주유소울산광역시 남구 야음동 20-10울산광역시 남구 화합로 611997-10-31<NA><NA><NA>2312.01999-04-30주유소052-271-5145
8지에스칼텍스㈜ 고속주유소울산광역시 남구 옥동 286-4울산광역시 남구 문수로 2791986-04-07<NA><NA><NA>1128.02007-10-31주유소052-260-0929
9SK 달동 맥 주유소울산광역시 남구 달동 819울산광역시 남구 중앙로 1262009-11-20<NA><NA><NA>2168.02009-11-23주유소052-290-0114
사업장명소재지지번주소소재지도로명주소인허가일자휴업시작일자휴업종료일자재개업일자소재지면적(제곱미터)사업개시예정일사업구분명전화번호
52종하아이앤씨(주)문수로주유소울산광역시 남구 신정동 1639-15울산광역시 남구 문수로 4271982-12-11<NA><NA><NA>736.01982-12-11주유소052-273-6760
53㈜대양씨앤씨평창주유소울산광역시 남구 삼산동 1539-9울산광역시 남구 돋질로 2971996-12-20<NA><NA><NA>1367.21998-02-28주유소052-261-5800
54즐거운주유소울산광역시 남구 삼산동 1507-13울산광역시 남구 월평로 2291996-03-28<NA><NA><NA>707.11997-09-22주유소052-269-2020
55처용로주유소울산광역시 남구 선암동 176-2울산광역시 남구 처용로 921997-05-01<NA><NA><NA>993.02003-07-21주유소052-227-4233
56한일주유소울산광역시 남구 두왕동 459-2울산광역시 남구 온산로 8202005-11-23<NA><NA><NA>1196.02005-11-23주유소052-227-1134
57한진주유소울산광역시 남구 신정동 236-107울산광역시 남구 월평로 1411991-10-22<NA><NA><NA>993.01991-10-22주유소052-261-4477
58㈜동남에너지 동남 셀프주유소울산광역시 남구 신정동 870-8울산광역시 남구 수암로 961983-01-10<NA><NA><NA>685.01983-01-10주유소052-272-6564
59화광이앤지㈜강변주유소울산광역시 남구 무거동 122-10울산광역시 남구 남산로 172008-03-19<NA><NA><NA>768.02008-03-24주유소052-222-4370
60효암알뜰주유소울산광역시 남구 선암동 584-8울산광역시 남구 두왕로 741994-07-20<NA><NA><NA>1865.22003-07-22주유소052-266-7565
61흥남주유소울산광역시 남구 신정동 639-12울산광역시 남구 봉월로 941979-06-13<NA><NA><NA>470.02003-07-22주유소052-272-5506