Overview

Dataset statistics

Number of variables6
Number of observations3869
Missing cells0
Missing cells (%)0.0%
Duplicate rows32
Duplicate rows (%)0.8%
Total size in memory189.0 KiB
Average record size in memory50.0 B

Variable types

Categorical1
Text2
Numeric2
DateTime1

Dataset

Description경상남도 거제시 거제사랑상품권가맹점현황(가맹번호, 지역, 업종, 상호, 소재지, 위도, 경도, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://www.data.go.kr/data/3080038/fileData.do

Alerts

기준일자 has constant value ""Constant
Dataset has 32 (0.8%) duplicate rowsDuplicates
위도 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 위도High correlation
경도 is highly skewed (γ1 = -62.13188536)Skewed

Reproduction

Analysis started2024-03-14 08:46:56.400235
Analysis finished2024-03-14 08:46:58.643328
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
고현동
1708 
옥포동
408 
장평동
321 
상동동
222 
아주동
211 
Other values (18)
999 

Length

Max length4
Median length3
Mean length3.0211941
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고현동
2nd row고현동
3rd row옥포동
4th row장평동
5th row수월동

Common Values

ValueCountFrequency (%)
고현동 1708
44.1%
옥포동 408
 
10.5%
장평동 321
 
8.3%
상동동 222
 
5.7%
아주동 211
 
5.5%
사등면 140
 
3.6%
수월동 138
 
3.6%
연초면 108
 
2.8%
양정동 106
 
2.7%
능포동 86
 
2.2%
Other values (13) 421
 
10.9%

Length

2024-03-14T17:46:58.785971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고현동 1708
44.1%
옥포동 408
 
10.5%
장평동 321
 
8.3%
상동동 222
 
5.7%
아주동 211
 
5.5%
사등면 140
 
3.6%
수월동 138
 
3.6%
연초면 108
 
2.8%
양정동 106
 
2.7%
능포동 86
 
2.2%
Other values (13) 421
 
10.9%
Distinct3767
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-03-14T17:46:59.988692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length6.9953476
Min length1

Characters and Unicode

Total characters27065
Distinct characters868
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3673 ?
Unique (%)94.9%

Sample

1st row지에스25 거제고현시장점
2nd row백두산샤브샤브
3rd row나이스 종합 청소
4th row서영(거제1호점)
5th row화화 거제수월점
ValueCountFrequency (%)
씨유 78
 
1.5%
거제고현점 62
 
1.2%
거제점 59
 
1.2%
세븐일레븐 55
 
1.1%
고현점 38
 
0.7%
gs25 33
 
0.6%
장평점 30
 
0.6%
주식회사 27
 
0.5%
아주점 21
 
0.4%
옥포점 21
 
0.4%
Other values (4063) 4656
91.7%
2024-03-14T17:47:01.605826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1280
 
4.7%
1032
 
3.8%
796
 
2.9%
761
 
2.8%
493
 
1.8%
457
 
1.7%
351
 
1.3%
345
 
1.3%
312
 
1.2%
305
 
1.1%
Other values (858) 20933
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23903
88.3%
Space Separator 1280
 
4.7%
Uppercase Letter 570
 
2.1%
Decimal Number 362
 
1.3%
Open Punctuation 276
 
1.0%
Close Punctuation 275
 
1.0%
Lowercase Letter 247
 
0.9%
Other Punctuation 111
 
0.4%
Other Symbol 29
 
0.1%
Dash Punctuation 7
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1032
 
4.3%
796
 
3.3%
761
 
3.2%
493
 
2.1%
457
 
1.9%
351
 
1.5%
345
 
1.4%
312
 
1.3%
305
 
1.3%
279
 
1.2%
Other values (786) 18772
78.5%
Uppercase Letter
ValueCountFrequency (%)
S 81
14.2%
G 65
 
11.4%
B 39
 
6.8%
O 35
 
6.1%
C 33
 
5.8%
M 31
 
5.4%
A 29
 
5.1%
E 26
 
4.6%
D 23
 
4.0%
T 23
 
4.0%
Other values (15) 185
32.5%
Lowercase Letter
ValueCountFrequency (%)
e 30
12.1%
o 29
11.7%
a 29
11.7%
i 17
 
6.9%
l 17
 
6.9%
s 15
 
6.1%
r 15
 
6.1%
n 14
 
5.7%
t 12
 
4.9%
c 9
 
3.6%
Other values (12) 60
24.3%
Decimal Number
ValueCountFrequency (%)
2 105
29.0%
5 79
21.8%
1 42
 
11.6%
0 35
 
9.7%
4 27
 
7.5%
3 20
 
5.5%
6 15
 
4.1%
7 14
 
3.9%
9 13
 
3.6%
8 12
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 41
36.9%
. 37
33.3%
, 23
20.7%
' 3
 
2.7%
/ 3
 
2.7%
# 2
 
1.8%
: 1
 
0.9%
; 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 275
100.0%
Other Symbol
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23924
88.4%
Common 2316
 
8.6%
Latin 817
 
3.0%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1032
 
4.3%
796
 
3.3%
761
 
3.2%
493
 
2.1%
457
 
1.9%
351
 
1.5%
345
 
1.4%
312
 
1.3%
305
 
1.3%
279
 
1.2%
Other values (780) 18793
78.6%
Latin
ValueCountFrequency (%)
S 81
 
9.9%
G 65
 
8.0%
B 39
 
4.8%
O 35
 
4.3%
C 33
 
4.0%
M 31
 
3.8%
e 30
 
3.7%
o 29
 
3.5%
a 29
 
3.5%
A 29
 
3.5%
Other values (37) 416
50.9%
Common
ValueCountFrequency (%)
1280
55.3%
( 276
 
11.9%
) 275
 
11.9%
2 105
 
4.5%
5 79
 
3.4%
1 42
 
1.8%
& 41
 
1.8%
. 37
 
1.6%
0 35
 
1.5%
4 27
 
1.2%
Other values (14) 119
 
5.1%
Han
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23892
88.3%
ASCII 3133
 
11.6%
None 29
 
0.1%
CJK 8
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1280
40.9%
( 276
 
8.8%
) 275
 
8.8%
2 105
 
3.4%
S 81
 
2.6%
5 79
 
2.5%
G 65
 
2.1%
1 42
 
1.3%
& 41
 
1.3%
B 39
 
1.2%
Other values (61) 850
27.1%
Hangul
ValueCountFrequency (%)
1032
 
4.3%
796
 
3.3%
761
 
3.2%
493
 
2.1%
457
 
1.9%
351
 
1.5%
345
 
1.4%
312
 
1.3%
305
 
1.3%
279
 
1.2%
Other values (776) 18761
78.5%
None
ValueCountFrequency (%)
29
100.0%
CJK
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct2219
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2024-03-14T17:47:02.662103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length22.619281
Min length18

Characters and Unicode

Total characters87514
Distinct characters258
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1622 ?
Unique (%)41.9%

Sample

1st row경상남도 거제시 거제중앙로19길 9(고현동)
2nd row경상남도 거제시 고현천로 24(고현동)
3rd row경상남도 거제시 거제대로 3786(옥포동)
4th row경상남도 거제시 장평3로7길 51(장평동)
5th row경상남도 거제시 해명로 19-2(수월동)
ValueCountFrequency (%)
경상남도 3869
23.7%
거제시 3869
23.7%
계룡로 716
 
4.4%
125(고현동 680
 
4.2%
거제중앙로 328
 
2.0%
수양로 155
 
1.0%
사등면 140
 
0.9%
거제대로 132
 
0.8%
옥포로 119
 
0.7%
연초면 108
 
0.7%
Other values (1942) 6185
37.9%
2024-03-14T17:47:04.184184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12432
 
14.2%
4786
 
5.5%
4766
 
5.4%
4243
 
4.8%
3934
 
4.5%
3883
 
4.4%
3877
 
4.4%
3874
 
4.4%
3871
 
4.4%
3527
 
4.0%
Other values (248) 38321
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54826
62.6%
Decimal Number 12566
 
14.4%
Space Separator 12432
 
14.2%
Close Punctuation 3383
 
3.9%
Open Punctuation 3383
 
3.9%
Dash Punctuation 645
 
0.7%
Other Punctuation 200
 
0.2%
Uppercase Letter 52
 
0.1%
Lowercase Letter 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4786
 
8.7%
4766
 
8.7%
4243
 
7.7%
3934
 
7.2%
3883
 
7.1%
3877
 
7.1%
3874
 
7.1%
3871
 
7.1%
3527
 
6.4%
1968
 
3.6%
Other values (216) 16097
29.4%
Decimal Number
ValueCountFrequency (%)
1 3259
25.9%
2 2097
16.7%
5 1604
12.8%
3 1151
 
9.2%
4 1067
 
8.5%
8 791
 
6.3%
7 683
 
5.4%
6 672
 
5.3%
9 633
 
5.0%
0 609
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
K 10
19.2%
R 9
17.3%
A 9
17.3%
P 9
17.3%
I 9
17.3%
C 3
 
5.8%
S 1
 
1.9%
B 1
 
1.9%
H 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 17
63.0%
l 5
 
18.5%
s 1
 
3.7%
i 1
 
3.7%
v 1
 
3.7%
r 1
 
3.7%
y 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 199
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
12432
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 645
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54825
62.6%
Common 32609
37.3%
Latin 79
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4786
 
8.7%
4766
 
8.7%
4243
 
7.7%
3934
 
7.2%
3883
 
7.1%
3877
 
7.1%
3874
 
7.1%
3871
 
7.1%
3527
 
6.4%
1968
 
3.6%
Other values (215) 16096
29.4%
Common
ValueCountFrequency (%)
12432
38.1%
) 3383
 
10.4%
( 3383
 
10.4%
1 3259
 
10.0%
2 2097
 
6.4%
5 1604
 
4.9%
3 1151
 
3.5%
4 1067
 
3.3%
8 791
 
2.4%
7 683
 
2.1%
Other values (6) 2759
 
8.5%
Latin
ValueCountFrequency (%)
e 17
21.5%
K 10
12.7%
R 9
11.4%
A 9
11.4%
P 9
11.4%
I 9
11.4%
l 5
 
6.3%
C 3
 
3.8%
S 1
 
1.3%
s 1
 
1.3%
Other values (6) 6
 
7.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54825
62.6%
ASCII 32688
37.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12432
38.0%
) 3383
 
10.3%
( 3383
 
10.3%
1 3259
 
10.0%
2 2097
 
6.4%
5 1604
 
4.9%
3 1151
 
3.5%
4 1067
 
3.3%
8 791
 
2.4%
7 683
 
2.1%
Other values (22) 2838
 
8.7%
Hangul
ValueCountFrequency (%)
4786
 
8.7%
4766
 
8.7%
4243
 
7.7%
3934
 
7.2%
3883
 
7.1%
3877
 
7.1%
3874
 
7.1%
3871
 
7.1%
3527
 
6.4%
1968
 
3.6%
Other values (215) 16096
29.4%
CJK
ValueCountFrequency (%)
1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2215
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.88429
Minimum34.737625
Maximum35.00488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.1 KiB
2024-03-14T17:47:04.608842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.737625
5-th percentile34.853841
Q134.880528
median34.88596
Q334.892745
95-th percentile34.908922
Maximum35.00488
Range0.26725468
Interquartile range (IQR)0.01221793

Descriptive statistics

Standard deviation0.020922091
Coefficient of variation (CV)0.00059975683
Kurtosis10.487207
Mean34.88429
Median Absolute Deviation (MAD)0.00650071
Skewness-0.055421508
Sum134967.32
Variance0.0004377339
MonotonicityNot monotonic
2024-03-14T17:47:05.059899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.88052755 680
 
17.6%
34.89625933 11
 
0.3%
34.89026283 11
 
0.3%
34.88820439 11
 
0.3%
34.88980978 9
 
0.2%
34.86690224 9
 
0.2%
34.89030113 9
 
0.2%
34.88625809 9
 
0.2%
34.89691724 9
 
0.2%
34.89382708 9
 
0.2%
Other values (2205) 3102
80.2%
ValueCountFrequency (%)
34.73762497 1
< 0.1%
34.73824635 2
0.1%
34.73999772 1
< 0.1%
34.74331427 1
< 0.1%
34.77107262 1
< 0.1%
34.77303884 1
< 0.1%
34.77330415 1
< 0.1%
34.7739555 1
< 0.1%
34.77592651 1
< 0.1%
34.77641714 1
< 0.1%
ValueCountFrequency (%)
35.00487965 1
 
< 0.1%
34.99872386 1
 
< 0.1%
34.99575657 1
 
< 0.1%
34.99126498 1
 
< 0.1%
34.99087234 3
0.1%
34.99077612 1
 
< 0.1%
34.98997138 1
 
< 0.1%
34.98979935 1
 
< 0.1%
34.98877233 1
 
< 0.1%
34.98836596 2
0.1%

경도
Real number (ℝ)

SKEWED 

Distinct2214
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.61468
Minimum34.821622
Maximum128.73704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.1 KiB
2024-03-14T17:47:05.478197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.821622
5-th percentile128.58938
Q1128.62082
median128.62555
Q3128.65595
95-th percentile128.71176
Maximum128.73704
Range93.915419
Interquartile range (IQR)0.0351352

Descriptive statistics

Standard deviation1.5088467
Coefficient of variation (CV)0.011731528
Kurtosis3863.2437
Mean128.61468
Median Absolute Deviation (MAD)0.0099921
Skewness-62.131885
Sum497610.18
Variance2.2766182
MonotonicityNot monotonic
2024-03-14T17:47:05.903481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6208152 680
 
17.6%
128.6243405 11
 
0.3%
128.6235602 11
 
0.3%
128.6304072 11
 
0.3%
128.6232213 9
 
0.2%
128.6236545 9
 
0.2%
128.6221055 9
 
0.2%
128.6300904 9
 
0.2%
128.6500584 9
 
0.2%
128.6899271 9
 
0.2%
Other values (2204) 3102
80.2%
ValueCountFrequency (%)
34.8216223 1
< 0.1%
128.4728474 1
< 0.1%
128.4768317 1
< 0.1%
128.4768816 1
< 0.1%
128.4769085 1
< 0.1%
128.4769261 1
< 0.1%
128.4770585 1
< 0.1%
128.4771987 1
< 0.1%
128.4772419 1
< 0.1%
128.4772492 1
< 0.1%
ValueCountFrequency (%)
128.7370414 1
< 0.1%
128.7369848 1
< 0.1%
128.7369253 1
< 0.1%
128.7359743 1
< 0.1%
128.7350261 1
< 0.1%
128.7349403 2
0.1%
128.7337522 1
< 0.1%
128.7333199 1
< 0.1%
128.733228 1
< 0.1%
128.7329668 1
< 0.1%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
Minimum2024-02-07 00:00:00
Maximum2024-02-07 00:00:00
2024-03-14T17:47:06.256103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:06.550742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T17:46:57.827908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:46:57.309110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:46:58.082917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:46:57.567974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:47:06.755481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역위도경도
지역1.0000.9380.173
위도0.9381.0000.122
경도0.1730.1221.000
2024-03-14T17:47:06.993791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도지역
위도1.000-0.0220.721
경도-0.0221.0000.150
지역0.7210.1501.000

Missing values

2024-03-14T17:46:58.386111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:46:58.566896image/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

지역가맹점명소재지위도경도기준일자
0고현동지에스25 거제고현시장점경상남도 거제시 거제중앙로19길 9(고현동)34.885356128.6234752024-02-07
1고현동백두산샤브샤브경상남도 거제시 고현천로 24(고현동)34.889722128.6249622024-02-07
2옥포동나이스 종합 청소경상남도 거제시 거제대로 3786(옥포동)34.894035128.6872892024-02-07
3장평동서영(거제1호점)경상남도 거제시 장평3로7길 51(장평동)34.892455128.6053052024-02-07
4수월동화화 거제수월점경상남도 거제시 해명로 19-2(수월동)34.895027128.6432392024-02-07
5연초면돈돼지 감자탕경상남도 거제시 연초면 거제북로 4534.914747128.6550992024-02-07
6고현동TNF 거제점경상남도 거제시 서문로 52(고현동)34.88898128.6217832024-02-07
7양정동세븐일레븐 거제아이파크점경상남도 거제시 양정5길 36(양정동, 거제아이파크1차)34.873657128.6486142024-02-07
8상동동세븐일레븐 거제상동다숲점경상남도 거제시 상동7길 30(상동동, 대동 다숲아파트)34.869097128.6279182024-02-07
9고현동현대장어구이경상남도 거제시 중곡로7길 37(고현동)34.896196128.6261342024-02-07
지역가맹점명소재지위도경도기준일자
3859장평동컨츄리꼬꼬경상남도 거제시 장평3로4길 39(장평동)34.890728128.6134632024-02-07
3860사등면고릴라 캠핑 거제점경상남도 거제시 사등면 거제대로 529434.900692128.5623452024-02-07
3861장평동파파존스 거제점경상남도 거제시 장평로8길 23(장평동)34.892472128.6098482024-02-07
3862수월동거제와이즈만영재학원경상남도 거제시 수양로 463(수월동)34.892053128.6404592024-02-07
3863덕포동와이즈만서적경상남도 거제시 옥포대첩로 409-7(덕포동)34.914271128.7128632024-02-07
3864상동동거제상동와이즈만영재학원경상남도 거제시 상동5길 75-40(상동동, 벽산e-솔렌스힐 1차)34.861232128.633162024-02-07
3865고현동지바(G.bar)경상남도 거제시 중곡로1길 18-3(고현동)34.893407128.628712024-02-07
3866고현동황금조명경상남도 거제시 고현로 90(고현동)34.886293128.6227422024-02-07
3867옥포동못난이꽈배기경상남도 거제시 옥포로21길 3(옥포동)34.894736128.6904182024-02-07
3868아주동㈜대우남문기타경상남도 거제시 아주1로2길 45(아주동)34.866634128.6871282024-02-07

Duplicate rows

Most frequently occurring

지역가맹점명소재지위도경도기준일자# duplicates
19상동동아모레카운셀러경상남도 거제시 거제중앙로 1788(상동동)34.878547128.6285272024-02-074
6고현동세븐일레븐 거제고현점경상남도 거제시 계룡로 125(고현동)34.880528128.6208152024-02-073
14고현동코코룸경상남도 거제시 거제중앙로 1894(고현동)34.88733128.6238312024-02-073
0고현동010안경경상남도 거제시 중곡로3길 6(고현동)34.894081128.6297472024-02-072
1고현동대패생각경상남도 거제시 중곡로1길 47(고현동)34.892376128.6255282024-02-072
2고현동롯데리아 수월점경상남도 거제시 계룡로 125(고현동)34.880528128.6208152024-02-072
3고현동맘스터치 상동점경상남도 거제시 계룡로 125(고현동)34.880528128.6208152024-02-072
4고현동사랑과일경상남도 거제시 계룡로 125(고현동)34.880528128.6208152024-02-072
5고현동새봄디자인경상남도 거제시 계룡로8길 22-3(고현동)34.879459128.6255742024-02-072
7고현동세븐일레븐 거제수월서희점경상남도 거제시 고현로 138-37(고현동, 스타힐스 센트럴)34.890639128.6302842024-02-072