Overview

Dataset statistics

Number of variables7
Number of observations247
Missing cells133
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory59.5 B

Variable types

Numeric3
Text3
DateTime1

Dataset

Description경상남도 거제시에 위치하고 있는 안전상비의약품판매점현황(판매점포명, 주소, 최초등록일자, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079317

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 133 (53.8%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:25:23.430866
Analysis finished2023-12-11 00:25:24.791908
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124
Minimum1
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:25:24.876474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.3
Q162.5
median124
Q3185.5
95-th percentile234.7
Maximum247
Range246
Interquartile range (IQR)123

Descriptive statistics

Standard deviation71.44695
Coefficient of variation (CV)0.57618508
Kurtosis-1.2
Mean124
Median Absolute Deviation (MAD)62
Skewness0
Sum30628
Variance5104.6667
MonotonicityStrictly increasing
2023-12-11T09:25:25.016554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
171 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
Other values (237) 237
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%

판매점포명
Text

Distinct246
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T09:25:25.254663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length10.732794
Min length5

Characters and Unicode

Total characters2651
Distinct characters208
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)99.2%

Sample

1st rowCU 거제 아주내곡점
2nd rowCU 거제능포해안점
3rd row미니스톱 거제오비점
4th rowCU 거제고현가온점
5th rowCU 거제옥포원룸점
ValueCountFrequency (%)
cu 80
 
16.2%
gs25 71
 
14.4%
세븐일레븐 49
 
9.9%
미니스톱 30
 
6.1%
이마트24 4
 
0.8%
거제고현점 3
 
0.6%
주)코리아세븐 3
 
0.6%
위드미 3
 
0.6%
거제대우북문점 3
 
0.6%
거제옥포점 3
 
0.6%
Other values (224) 244
49.5%
2023-12-11T09:25:25.711290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
9.3%
점 243
 
9.2%
제 171
 
6.5%
거 168
 
6.3%
븐 103
 
3.9%
C 80
 
3.0%
U 80
 
3.0%
2 77
 
2.9%
S 76
 
2.9%
G 74
 
2.8%
Other values (198) 1333
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1924
72.6%
Uppercase Letter 315
 
11.9%
Space Separator 246
 
9.3%
Decimal Number 154
 
5.8%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 243
 
12.6%
제 171
 
8.9%
거 168
 
8.7%
븐 103
 
5.4%
포 57
 
3.0%
세 57
 
3.0%
일 53
 
2.8%
레 51
 
2.7%
스 44
 
2.3%
장 44
 
2.3%
Other values (184) 933
48.5%
Uppercase Letter
ValueCountFrequency (%)
C 80
25.4%
U 80
25.4%
S 76
24.1%
G 74
23.5%
K 2
 
0.6%
R 1
 
0.3%
H 1
 
0.3%
L 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 77
50.0%
5 73
47.4%
4 4
 
2.6%
Space Separator
ValueCountFrequency (%)
246
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1924
72.6%
Common 412
 
15.5%
Latin 315
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 243
 
12.6%
제 171
 
8.9%
거 168
 
8.7%
븐 103
 
5.4%
포 57
 
3.0%
세 57
 
3.0%
일 53
 
2.8%
레 51
 
2.7%
스 44
 
2.3%
장 44
 
2.3%
Other values (184) 933
48.5%
Latin
ValueCountFrequency (%)
C 80
25.4%
U 80
25.4%
S 76
24.1%
G 74
23.5%
K 2
 
0.6%
R 1
 
0.3%
H 1
 
0.3%
L 1
 
0.3%
Common
ValueCountFrequency (%)
246
59.7%
2 77
 
18.7%
5 73
 
17.7%
( 6
 
1.5%
) 6
 
1.5%
4 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1924
72.6%
ASCII 727
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
33.8%
C 80
 
11.0%
U 80
 
11.0%
2 77
 
10.6%
S 76
 
10.5%
G 74
 
10.2%
5 73
 
10.0%
( 6
 
0.8%
) 6
 
0.8%
4 4
 
0.6%
Other values (4) 5
 
0.7%
Hangul
ValueCountFrequency (%)
점 243
 
12.6%
제 171
 
8.9%
거 168
 
8.7%
븐 103
 
5.4%
포 57
 
3.0%
세 57
 
3.0%
일 53
 
2.8%
레 51
 
2.7%
스 44
 
2.3%
장 44
 
2.3%
Other values (184) 933
48.5%

소재지
Text

Distinct244
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T09:25:26.063058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length51
Mean length28.473684
Min length18

Characters and Unicode

Total characters7033
Distinct characters193
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

Unique241 ?
Unique (%)97.6%

Sample

1st row경상남도 거제시 아주2로 115，1층 101호 (아주동)
2nd row경상남도 거제시 능포로 227(능포동)
3rd row경상남도 거제시 연초면 소오비길 37
4th row경상남도 거제시 거제중앙로5길 20(고현동)
5th row경상남도 거제시 국산6길 20(옥포동)
ValueCountFrequency (%)
경상남도 247
 
18.5%
거제시 247
 
18.5%
고현동 35
 
2.6%
옥포동 34
 
2.5%
장평동 31
 
2.3%
아주동 24
 
1.8%
거제대로 17
 
1.3%
1층 14
 
1.0%
101호 13
 
1.0%
사등면 9
 
0.7%
Other values (442) 665
49.8%
2023-12-11T09:25:26.914930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1089
 
15.5%
1 382
 
5.4%
제 322
 
4.6%
거 313
 
4.5%
상 306
 
4.4%
동 293
 
4.2%
남 253
 
3.6%
경 249
 
3.5%
시 249
 
3.5%
도 247
 
3.5%
Other values (183) 3330
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4095
58.2%
Decimal Number 1185
 
16.8%
Space Separator 1089
 
15.5%
Close Punctuation 217
 
3.1%
Open Punctuation 216
 
3.1%
Other Punctuation 169
 
2.4%
Dash Punctuation 49
 
0.7%
Uppercase Letter 7
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 322
 
7.9%
거 313
 
7.6%
상 306
 
7.5%
동 293
 
7.2%
남 253
 
6.2%
경 249
 
6.1%
시 249
 
6.1%
도 247
 
6.0%
로 209
 
5.1%
길 121
 
3.0%
Other values (160) 1533
37.4%
Decimal Number
ValueCountFrequency (%)
1 382
32.2%
2 161
13.6%
0 146
 
12.3%
3 127
 
10.7%
4 94
 
7.9%
5 85
 
7.2%
7 63
 
5.3%
6 55
 
4.6%
8 36
 
3.0%
9 36
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
I 1
14.3%
P 1
14.3%
A 1
14.3%
R 1
14.3%
K 1
14.3%
Other Punctuation
ValueCountFrequency (%)
， 168
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1089
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4095
58.2%
Common 2925
41.6%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 322
 
7.9%
거 313
 
7.6%
상 306
 
7.5%
동 293
 
7.2%
남 253
 
6.2%
경 249
 
6.1%
시 249
 
6.1%
도 247
 
6.0%
로 209
 
5.1%
길 121
 
3.0%
Other values (160) 1533
37.4%
Common
ValueCountFrequency (%)
1089
37.2%
1 382
 
13.1%
) 217
 
7.4%
( 216
 
7.4%
， 168
 
5.7%
2 161
 
5.5%
0 146
 
5.0%
3 127
 
4.3%
4 94
 
3.2%
5 85
 
2.9%
Other values (6) 240
 
8.2%
Latin
ValueCountFrequency (%)
e 6
46.2%
B 2
 
15.4%
I 1
 
7.7%
P 1
 
7.7%
A 1
 
7.7%
R 1
 
7.7%
K 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4095
58.2%
ASCII 2770
39.4%
None 168
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1089
39.3%
1 382
 
13.8%
) 217
 
7.8%
( 216
 
7.8%
2 161
 
5.8%
0 146
 
5.3%
3 127
 
4.6%
4 94
 
3.4%
5 85
 
3.1%
7 63
 
2.3%
Other values (12) 190
 
6.9%
Hangul
ValueCountFrequency (%)
제 322
 
7.9%
거 313
 
7.6%
상 306
 
7.5%
동 293
 
7.2%
남 253
 
6.2%
경 249
 
6.1%
시 249
 
6.1%
도 247
 
6.0%
로 209
 
5.1%
길 121
 
3.0%
Other values (160) 1533
37.4%
None
ValueCountFrequency (%)
， 168
100.0%

위도
Real number (ℝ)

Distinct239
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.882371
Minimum34.714737
Maximum34.987449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:25:27.114060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.714737
5-th percentile34.849658
Q134.870082
median34.88835
Q334.892835
95-th percentile34.911461
Maximum34.987449
Range0.27271227
Interquartile range (IQR)0.02275331

Descriptive statistics

Standard deviation0.027043134
Coefficient of variation (CV)0.0007752665
Kurtosis10.544889
Mean34.882371
Median Absolute Deviation (MAD)0.00781779
Skewness-1.487727
Sum8615.9456
Variance0.00073133107
MonotonicityNot monotonic
2023-12-11T09:25:27.278676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.87279599 2
 
0.8%
34.89287675 2
 
0.8%
34.88785406 2
 
0.8%
34.88647964 2
 
0.8%
34.91096437 2
 
0.8%
34.88959027 2
 
0.8%
34.86651859 2
 
0.8%
34.86049151 2
 
0.8%
34.86743981 1
 
0.4%
34.90791779 1
 
0.4%
Other values (229) 229
92.7%
ValueCountFrequency (%)
34.714737 1
0.4%
34.77275962 1
0.4%
34.77519149 1
0.4%
34.77592623 1
0.4%
34.7764196 1
0.4%
34.80557384 1
0.4%
34.82212516 1
0.4%
34.82843882 1
0.4%
34.82902844 1
0.4%
34.8348545 1
0.4%
ValueCountFrequency (%)
34.98744927 1
0.4%
34.98622792 1
0.4%
34.95870685 1
0.4%
34.95693723 1
0.4%
34.94052772 1
0.4%
34.93417681 1
0.4%
34.92542701 1
0.4%
34.92081314 1
0.4%
34.91775914 1
0.4%
34.91762936 1
0.4%

경도
Real number (ℝ)

Distinct239
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65226
Minimum128.47885
Maximum128.73713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T09:25:27.447810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47885
5-th percentile128.58717
Q1128.62123
median128.64113
Q3128.69243
95-th percentile128.72822
Maximum128.73713
Range0.258284
Interquartile range (IQR)0.07120575

Descriptive statistics

Standard deviation0.047220715
Coefficient of variation (CV)0.00036704148
Kurtosis0.073012504
Mean128.65226
Median Absolute Deviation (MAD)0.0378236
Skewness-0.31273577
Sum31777.108
Variance0.0022297959
MonotonicityNot monotonic
2023-12-11T09:25:27.648355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.719591 2
 
0.8%
128.6046903 2
 
0.8%
128.694211 2
 
0.8%
128.6426162 2
 
0.8%
128.5428511 2
 
0.8%
128.6111101 2
 
0.8%
128.6379763 2
 
0.8%
128.6423917 2
 
0.8%
128.690363 1
 
0.4%
128.5116764 1
 
0.4%
Other values (229) 229
92.7%
ValueCountFrequency (%)
128.4788452 1
0.4%
128.5116764 1
0.4%
128.522868 1
0.4%
128.5257784 1
0.4%
128.5428511 2
0.8%
128.5437117 1
0.4%
128.5638163 1
0.4%
128.5684023 1
0.4%
128.5851506 1
0.4%
128.5859089 1
0.4%
ValueCountFrequency (%)
128.7371292 1
0.4%
128.7365363 1
0.4%
128.7338894 1
0.4%
128.732522 1
0.4%
128.7324772 1
0.4%
128.732066 1
0.4%
128.7319022 1
0.4%
128.7313093 1
0.4%
128.7311717 1
0.4%
128.7307749 1
0.4%

전화번호
Text

MISSING 

Distinct114
Distinct (%)100.0%
Missing133
Missing (%)53.8%
Memory size2.1 KiB
2023-12-11T09:25:27.952794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1368
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

Unique114 ?
Unique (%)100.0%

Sample

1st row055-633-0088
2nd row055-687-0111
3rd row055-682-1781
4th row055-636-7245
5th row055-633-7797
ValueCountFrequency (%)
055-632-5504 1
 
0.9%
055-687-1164 1
 
0.9%
055-688-3534 1
 
0.9%
055-638-4720 1
 
0.9%
055-688-4711 1
 
0.9%
055-687-2203 1
 
0.9%
055-638-3424 1
 
0.9%
055-632-2401 1
 
0.9%
055-688-1077 1
 
0.9%
055-682-2569 1
 
0.9%
Other values (104) 104
91.2%
2023-12-11T09:25:28.394582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 279
20.4%
- 228
16.7%
0 160
11.7%
6 156
11.4%
3 125
9.1%
8 118
8.6%
2 79
 
5.8%
7 76
 
5.6%
1 70
 
5.1%
4 45
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1140
83.3%
Dash Punctuation 228
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 279
24.5%
0 160
14.0%
6 156
13.7%
3 125
11.0%
8 118
10.4%
2 79
 
6.9%
7 76
 
6.7%
1 70
 
6.1%
4 45
 
3.9%
9 32
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 279
20.4%
- 228
16.7%
0 160
11.7%
6 156
11.4%
3 125
9.1%
8 118
8.6%
2 79
 
5.8%
7 76
 
5.6%
1 70
 
5.1%
4 45
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 279
20.4%
- 228
16.7%
0 160
11.7%
6 156
11.4%
3 125
9.1%
8 118
8.6%
2 79
 
5.8%
7 76
 
5.6%
1 70
 
5.1%
4 45
 
3.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2021-09-15 00:00:00
Maximum2021-09-15 00:00:00
2023-12-11T09:25:28.525311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:28.643043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:25:24.323495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:23.755316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:24.067553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:24.401755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:23.834203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:24.154384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:24.484016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:23.946773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:24.230447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:25:28.709636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.0000.190
위도0.0001.0000.782
경도0.1900.7821.000
2023-12-11T09:25:28.806379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.111-0.018
위도0.1111.000-0.171
경도-0.018-0.1711.000

Missing values

2023-12-11T09:25:24.618050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:25:24.738771image/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

순번판매점포명소재지위도경도전화번호데이터기준일
01CU 거제 아주내곡점경상남도 거제시 아주2로 115，1층 101호 (아주동)34.869605128.678951<NA>2021-09-15
12CU 거제능포해안점경상남도 거제시 능포로 227(능포동)34.882827128.736536<NA>2021-09-15
23미니스톱 거제오비점경상남도 거제시 연초면 소오비길 3734.899627128.629829<NA>2021-09-15
34CU 거제고현가온점경상남도 거제시 거제중앙로5길 20(고현동)34.877404128.626717055-633-00882021-09-15
45CU 거제옥포원룸점경상남도 거제시 국산6길 20(옥포동)34.897329128.694071055-687-01112021-09-15
56CU 거제장승포차점경상남도 거제시 장승포로2길 17(장승포동)34.867721128.727083<NA>2021-09-15
67세븐일레븐 거제신현점경상남도 거제시 고현로8길 22，계룡상가 101호 (고현동)34.884883128.623897<NA>2021-09-15
78CU 거제고현레고점경상남도 거제시 거제중앙로20길 9，1층 37호 (고현동，창조아파트)34.886688128.625179<NA>2021-09-15
89CU 장평포레나점경상남도 거제시 장평1로 129，상가동 103호 (장평동)34.892038128.606577<NA>2021-09-15
910지에스(GS)25 고현해안로점경상남도 거제시 중곡1로 30 (고현동)34.894502128.625479<NA>2021-09-15
순번판매점포명소재지위도경도전화번호데이터기준일
237238CU 거제해금강점경상남도 거제시 중곡로 15 (고현동)34.894135128.630203055-637-82202021-09-15
238239세븐일레븐 거제중곡센터점경상남도 거제시 중곡로5길 24 (고현동)34.896167128.627691055-633-88752021-09-15
239240CU 거제신현점경상남도 거제시 거제중앙로26길 5 (고현동)34.889114128.62324055-638-26452021-09-15
240241CU 거제오비대로경상남도 거제시 연초면 연하해안로 46234.914329128.619491055-634-09872021-09-15
241242미니스톱 거제명가점경상남도 거제시 거제중앙로3길 14 (상동동)34.876279128.628021055-635-95152021-09-15
242243CU 거제옥포점경상남도 거제시 옥포로 182 (옥포동)34.891059128.691732055-688-47742021-09-15
243244GS25 거제옥포점경상남도 거제시 옥포대첩로5길 8 (옥포동)34.894335128.692656055-688-33472021-09-15
244245CU 거제신정점경상남도 거제시 장평로4길 18 (장평동)34.892909128.614417055-637-40672021-09-15
245246CU 거제지세포점경상남도 거제시 일운면 거제대로 2480-034.828439128.703527055-681-83382021-09-15
246247GS25 장평진들점경상남도 거제시 장평3로2길 45-0 (장평동)34.8899128.613979055-637-69902021-09-15