Overview

Dataset statistics

Number of variables7
Number of observations164
Missing cells94
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory59.8 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description경상남도 거제시에 위치하고 있는 의료기기 판매업소(영업소명, 소재지, 위도, 경도, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15088736

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 94 (57.3%) missing valuesMissing
순번 has unique valuesUnique
영업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:14:10.230659
Analysis finished2024-03-13 00:14:11.190200
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.5
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T09:14:11.266708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.15
Q141.75
median82.5
Q3123.25
95-th percentile155.85
Maximum164
Range163
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation47.48684
Coefficient of variation (CV)0.57559806
Kurtosis-1.2
Mean82.5
Median Absolute Deviation (MAD)41
Skewness0
Sum13530
Variance2255
MonotonicityStrictly increasing
2024-03-13T09:14:11.412339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (154) 154
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%

영업소명
Text

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13T09:14:11.594237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.2621951
Min length2

Characters and Unicode

Total characters1519
Distinct characters236
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

Unique164 ?
Unique (%)100.0%

Sample

1st rowGS25 아주드림점
2nd row거제축산업협동조합 농수산물 종합유통센터
3rd row시즌글라스 거제 협동조합
4th row세븐일레븐 거제고현롯데점
5th rowGS25 거제센트럴점
ValueCountFrequency (%)
gs25 31
 
11.7%
세븐일레븐 21
 
7.9%
cu 8
 
3.0%
바디닥터 8
 
3.0%
거제고현점 4
 
1.5%
거제옥포점 3
 
1.1%
미니스톱 2
 
0.8%
거제점 2
 
0.8%
거제수월점 2
 
0.8%
거제장평점 2
 
0.8%
Other values (169) 182
68.7%
2024-03-13T09:14:12.098299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 103
 
6.8%
101
 
6.6%
제 82
 
5.4%
거 76
 
5.0%
븐 48
 
3.2%
S 38
 
2.5%
G 36
 
2.4%
2 35
 
2.3%
5 34
 
2.2%
주 33
 
2.2%
Other values (226) 933
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1217
80.1%
Space Separator 101
 
6.6%
Uppercase Letter 100
 
6.6%
Decimal Number 70
 
4.6%
Close Punctuation 15
 
1.0%
Open Punctuation 13
 
0.9%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 103
 
8.5%
제 82
 
6.7%
거 76
 
6.2%
븐 48
 
3.9%
주 33
 
2.7%
일 32
 
2.6%
이 30
 
2.5%
세 27
 
2.2%
레 27
 
2.2%
포 25
 
2.1%
Other values (207) 734
60.3%
Uppercase Letter
ValueCountFrequency (%)
S 38
38.0%
G 36
36.0%
U 9
 
9.0%
C 9
 
9.0%
E 2
 
2.0%
H 2
 
2.0%
T 1
 
1.0%
F 1
 
1.0%
R 1
 
1.0%
K 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 35
50.0%
5 34
48.6%
4 1
 
1.4%
Space Separator
ValueCountFrequency (%)
101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1218
80.2%
Common 200
 
13.2%
Latin 101
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 103
 
8.5%
제 82
 
6.7%
거 76
 
6.2%
븐 48
 
3.9%
주 33
 
2.7%
일 32
 
2.6%
이 30
 
2.5%
세 27
 
2.2%
레 27
 
2.2%
포 25
 
2.1%
Other values (208) 735
60.3%
Latin
ValueCountFrequency (%)
S 38
37.6%
G 36
35.6%
U 9
 
8.9%
C 9
 
8.9%
E 2
 
2.0%
H 2
 
2.0%
T 1
 
1.0%
F 1
 
1.0%
R 1
 
1.0%
e 1
 
1.0%
Common
ValueCountFrequency (%)
101
50.5%
2 35
 
17.5%
5 34
 
17.0%
) 15
 
7.5%
( 13
 
6.5%
, 1
 
0.5%
4 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1217
80.1%
ASCII 301
 
19.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 103
 
8.5%
제 82
 
6.7%
거 76
 
6.2%
븐 48
 
3.9%
주 33
 
2.7%
일 32
 
2.6%
이 30
 
2.5%
세 27
 
2.2%
레 27
 
2.2%
포 25
 
2.1%
Other values (207) 734
60.3%
ASCII
ValueCountFrequency (%)
101
33.6%
S 38
 
12.6%
G 36
 
12.0%
2 35
 
11.6%
5 34
 
11.3%
) 15
 
5.0%
( 13
 
4.3%
U 9
 
3.0%
C 9
 
3.0%
E 2
 
0.7%
Other values (8) 9
 
3.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct162
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13T09:14:12.337429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length27.52439
Min length18

Characters and Unicode

Total characters4514
Distinct characters170
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

Unique160 ?
Unique (%)97.6%

Sample

1st row경상남도 거제시 아주1로2길 27 (아주동)
2nd row경상남도 거제시 거제중앙로 1726 (상동동)
3rd row경상남도 거제시 사등면 장좌길 43
4th row경상남도 거제시 서문로3길 1 (고현동)
5th row경상남도 거제시 문동1길 42，301동 1층 101，102，103호 (문동동，거제 센트럴 푸르지오)
ValueCountFrequency (%)
경상남도 164
 
18.6%
거제시 164
 
18.6%
고현동 39
 
4.4%
옥포동 28
 
3.2%
장평동 17
 
1.9%
아주동 17
 
1.9%
거제중앙로 11
 
1.2%
고현로 11
 
1.2%
장평로 9
 
1.0%
거제대로 8
 
0.9%
Other values (290) 416
47.1%
2024-03-13T09:14:12.686424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
720
 
16.0%
제 200
 
4.4%
거 197
 
4.4%
1 191
 
4.2%
동 189
 
4.2%
상 184
 
4.1%
경 166
 
3.7%
남 165
 
3.7%
도 165
 
3.7%
시 165
 
3.7%
Other values (160) 2172
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2675
59.3%
Space Separator 720
 
16.0%
Decimal Number 668
 
14.8%
Open Punctuation 157
 
3.5%
Close Punctuation 157
 
3.5%
Other Punctuation 102
 
2.3%
Dash Punctuation 30
 
0.7%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 200
 
7.5%
거 197
 
7.4%
동 189
 
7.1%
상 184
 
6.9%
경 166
 
6.2%
남 165
 
6.2%
도 165
 
6.2%
시 165
 
6.2%
로 140
 
5.2%
현 66
 
2.5%
Other values (141) 1038
38.8%
Decimal Number
ValueCountFrequency (%)
1 191
28.6%
2 109
16.3%
3 66
 
9.9%
4 61
 
9.1%
0 53
 
7.9%
5 45
 
6.7%
6 39
 
5.8%
8 39
 
5.8%
7 37
 
5.5%
9 28
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
G 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
720
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Other Punctuation
ValueCountFrequency (%)
， 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2675
59.3%
Common 1834
40.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 200
 
7.5%
거 197
 
7.4%
동 189
 
7.1%
상 184
 
6.9%
경 166
 
6.2%
남 165
 
6.2%
도 165
 
6.2%
시 165
 
6.2%
로 140
 
5.2%
현 66
 
2.5%
Other values (141) 1038
38.8%
Common
ValueCountFrequency (%)
720
39.3%
1 191
 
10.4%
( 157
 
8.6%
) 157
 
8.6%
2 109
 
5.9%
， 102
 
5.6%
3 66
 
3.6%
4 61
 
3.3%
0 53
 
2.9%
5 45
 
2.5%
Other values (5) 173
 
9.4%
Latin
ValueCountFrequency (%)
B 2
40.0%
G 1
20.0%
L 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2675
59.3%
ASCII 1737
38.5%
None 102
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
720
41.5%
1 191
 
11.0%
( 157
 
9.0%
) 157
 
9.0%
2 109
 
6.3%
3 66
 
3.8%
4 61
 
3.5%
0 53
 
3.1%
5 45
 
2.6%
6 39
 
2.2%
Other values (8) 139
 
8.0%
Hangul
ValueCountFrequency (%)
제 200
 
7.5%
거 197
 
7.4%
동 189
 
7.1%
상 184
 
6.9%
경 166
 
6.2%
남 165
 
6.2%
도 165
 
6.2%
시 165
 
6.2%
로 140
 
5.2%
현 66
 
2.5%
Other values (141) 1038
38.8%
None
ValueCountFrequency (%)
， 102
100.0%

위도
Real number (ℝ)

Distinct156
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.884627
Minimum34.737277
Maximum34.974036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T09:14:12.804835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.737277
5-th percentile34.864595
Q134.875843
median34.888888
Q334.892605
95-th percentile34.898207
Maximum34.974036
Range0.23675866
Interquartile range (IQR)0.016762697

Descriptive statistics

Standard deviation0.019105944
Coefficient of variation (CV)0.0005476895
Kurtosis24.278809
Mean34.884627
Median Absolute Deviation (MAD)0.005339105
Skewness-2.5145864
Sum5721.0789
Variance0.00036503711
MonotonicityNot monotonic
2024-03-13T09:14:12.915579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8910509 6
 
3.7%
34.85842589 2
 
1.2%
34.89086026 2
 
1.2%
34.87195161 2
 
1.2%
34.87495133 1
 
0.6%
34.73727711 1
 
0.6%
34.87749372 1
 
0.6%
34.86714861 1
 
0.6%
34.89822112 1
 
0.6%
34.86645291 1
 
0.6%
Other values (146) 146
89.0%
ValueCountFrequency (%)
34.73727711 1
0.6%
34.82231048 1
0.6%
34.83497009 1
0.6%
34.84250924 1
0.6%
34.85842589 2
1.2%
34.86049151 1
0.6%
34.86240467 1
0.6%
34.86457182 1
0.6%
34.86472783 1
0.6%
34.86644106 1
0.6%
ValueCountFrequency (%)
34.97403577 1
0.6%
34.93417681 1
0.6%
34.91441414 1
0.6%
34.91384742 1
0.6%
34.9111652 1
0.6%
34.90976514 1
0.6%
34.90549172 1
0.6%
34.90454699 1
0.6%
34.89822112 1
0.6%
34.89812434 1
0.6%

경도
Real number (ℝ)

Distinct156
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65419
Minimum128.51619
Maximum128.73838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T09:14:13.035595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51619
5-th percentile128.60852
Q1128.62323
median128.63958
Q3128.69051
95-th percentile128.72752
Maximum128.73838
Range0.2221838
Interquartile range (IQR)0.0672812

Descriptive statistics

Standard deviation0.040928994
Coefficient of variation (CV)0.00031813183
Kurtosis-0.46797048
Mean128.65419
Median Absolute Deviation (MAD)0.02566145
Skewness0.14511665
Sum21099.288
Variance0.0016751826
MonotonicityNot monotonic
2024-03-13T09:14:13.150518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6164053 6
 
3.7%
128.7212372 2
 
1.2%
128.6131107 2
 
1.2%
128.7221212 2
 
1.2%
128.7315108 1
 
0.6%
128.6286468 1
 
0.6%
128.7284705 1
 
0.6%
128.6940028 1
 
0.6%
128.6862444 1
 
0.6%
128.6895345 1
 
0.6%
Other values (146) 146
89.0%
ValueCountFrequency (%)
128.5161916 1
0.6%
128.5673079 1
0.6%
128.5684023 1
0.6%
128.6040284 1
0.6%
128.6054395 1
0.6%
128.6057197 1
0.6%
128.6060491 1
0.6%
128.6080974 1
0.6%
128.6083759 1
0.6%
128.6093394 1
0.6%
ValueCountFrequency (%)
128.7383754 1
0.6%
128.7338894 1
0.6%
128.732522 1
0.6%
128.7319022 1
0.6%
128.7315108 1
0.6%
128.7313093 1
0.6%
128.7307749 1
0.6%
128.7307605 1
0.6%
128.7284705 1
0.6%
128.7221212 2
1.2%

전화번호
Text

MISSING 

Distinct70
Distinct (%)100.0%
Missing94
Missing (%)57.3%
Memory size1.4 KiB
2024-03-13T09:14:13.366088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.042857
Min length12

Characters and Unicode

Total characters843
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

Unique70 ?
Unique (%)100.0%

Sample

1st row055-639-1256
2nd row055-636-1538
3rd row055-730-9366
4th row055-682-1781
5th row055-681-9437
ValueCountFrequency (%)
055-634-6981 1
 
1.4%
055-637-0050 1
 
1.4%
055-634-0070 1
 
1.4%
055-632-6944 1
 
1.4%
055-637-6347 1
 
1.4%
055-688-1203 1
 
1.4%
055-636-5561 1
 
1.4%
055-637-9100 1
 
1.4%
055-688-2866 1
 
1.4%
055-681-3345 1
 
1.4%
Other values (60) 60
85.7%
2024-03-13T09:14:13.714113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 167
19.8%
- 140
16.6%
0 119
14.1%
6 105
12.5%
3 71
8.4%
8 67
7.9%
7 55
 
6.5%
1 39
 
4.6%
2 32
 
3.8%
4 26
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 703
83.4%
Dash Punctuation 140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 167
23.8%
0 119
16.9%
6 105
14.9%
3 71
10.1%
8 67
9.5%
7 55
 
7.8%
1 39
 
5.5%
2 32
 
4.6%
4 26
 
3.7%
9 22
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 843
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 167
19.8%
- 140
16.6%
0 119
14.1%
6 105
12.5%
3 71
8.4%
8 67
7.9%
7 55
 
6.5%
1 39
 
4.6%
2 32
 
3.8%
4 26
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 167
19.8%
- 140
16.6%
0 119
14.1%
6 105
12.5%
3 71
8.4%
8 67
7.9%
7 55
 
6.5%
1 39
 
4.6%
2 32
 
3.8%
4 26
 
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2021-09-15
164 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-15
2nd row2021-09-15
3rd row2021-09-15
4th row2021-09-15
5th row2021-09-15

Common Values

ValueCountFrequency (%)
2021-09-15 164
100.0%

Length

2024-03-13T09:14:13.821375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:14:13.896061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-15 164
100.0%

Interactions

2024-03-13T09:14:10.859741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.470884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.671818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.931620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.548457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.742510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.990015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.612825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:10.800213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:14:13.944147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도전화번호
순번1.0000.1450.1151.000
위도0.1451.0000.7251.000
경도0.1150.7251.0001.000
전화번호1.0001.0001.0001.000
2024-03-13T09:14:14.013931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.191-0.107
위도0.1911.000-0.141
경도-0.107-0.1411.000

Missing values

2024-03-13T09:14:11.069617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:14:11.153819image/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

순번영업소명소재지위도경도전화번호데이터기준일자
01GS25 아주드림점경상남도 거제시 아주1로2길 27 (아주동)34.867004128.689244<NA>2021-09-15
12거제축산업협동조합 농수산물 종합유통센터경상남도 거제시 거제중앙로 1726 (상동동)34.874261128.632961055-639-12562021-09-15
23시즌글라스 거제 협동조합경상남도 거제시 사등면 장좌길 4334.905492128.516192<NA>2021-09-15
34세븐일레븐 거제고현롯데점경상남도 거제시 서문로3길 1 (고현동)34.888441128.619088<NA>2021-09-15
45GS25 거제센트럴점경상남도 거제시 문동1길 42，301동 1층 101，102，103호 (문동동，거제 센트럴 푸르지오)34.860492128.642392<NA>2021-09-15
56이마트24거제성원아파트점경상남도 거제시 장평로6길 22，성원아파트 (장평동)34.893031128.613411055-636-15382021-09-15
67GS25 거제아주덕진점경상남도 거제시 아주2로 110，115동 103，104호 (아주동，덕진 거제의봄 프리미엄 아파트)34.870105128.679819<NA>2021-09-15
78GS25 아주푸르지오점경상남도 거제시 용소1길 17-17，상가동 301호 (아주동，거제 마린 푸르지오 1단지)34.872233128.689298<NA>2021-09-15
89GS25 아주센텀점경상남도 거제시 아주로 73-17，지하1층 (아주동)34.862405128.684874<NA>2021-09-15
910GS25 거제아주점경상남도 거제시 아주2로 55 (아주동)34.867732128.684886<NA>2021-09-15
순번영업소명소재지위도경도전화번호데이터기준일자
154155경남미래엠텍경상남도 거제시 연초면 연사3길 7，101호34.911165128.645359055-636-58982021-09-15
155156압소바경상남도 거제시 장평로 12，5층 (장평동，디큐브백화점)34.891051128.616405055-680-04762021-09-15
156157홈플러스(주)경상남도 거제시 장평로 12 (장평동)34.891051128.616405055-686-81802021-09-15
157158디큐브아가방경상남도 거제시 장평로 12 (장평동)34.891051128.616405055-680-04772021-09-15
158159거제의료기경상남도 거제시 두모길 3-8，1，2층 (두모동)34.870782128.721751055-682-08832021-09-15
159160㈜에스와이에스리테일 고현점경상남도 거제시 고현천로 6 (고현동)34.89139128.624044055-638-00582021-09-15
160161한신브레텍 독일보청기경상남도 거제시 계룡로 98，지하1층 (고현동)34.87879128.623632055-637-83322021-09-15
161162디어베이비경상남도 거제시 거제중앙로 1915 (고현동)34.888965128.622483<NA>2021-09-15
162163베베앙슈경상남도 거제시 장평로 37 (장평동)34.89086128.613111055-636-54872021-09-15
163164신창의료기기경상남도 거제시 고현로 117 (고현동)34.887904128.625265055-635-18682021-09-15