Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells10000
Missing cells (%)16.7%
Duplicate rows22
Duplicate rows (%)0.2%
Total size in memory576.2 KiB
Average record size in memory59.0 B

Variable types

Text2
Unsupported1
Numeric2
DateTime1

Dataset

Description부산광역시 지역화폐(동백전) 가맹점 현황으로 순번, 가맹점명, 도로명주소, 위도, 경도, 데이터기준일자에 대한 항목을 제공합니다.* 개인택시 등 가맹점정보에 개인정보(집 주소)가 포함된 자료는 제외* 가맹점 신청 시 도로명주소가 정확하지 않은 경우 위,경도 정보 제공 불가* 동백전 정책변동에 따라 가맹점 변동 사항 있음
Author부산광역시
URLhttps://www.data.go.kr/data/15088786/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 22 (0.2%) duplicate rowsDuplicates
지번주소 has 10000 (100.0%) missing valuesMissing
지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 11:37:12.081472
Analysis finished2024-03-14 11:37:15.444246
Duration3.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct9664
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T20:37:16.392292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length6.8241
Min length1

Characters and Unicode

Total characters68241
Distinct characters1080
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9444 ?
Unique (%)94.4%

Sample

1st row지에스25 금사사랑점
2nd row브라운돈까스 부산 범방점
3rd row롯데리아센텀프라자빌딩점/(주)아이진코리
4th row뮤지음악학원
5th row토종먹거리
ValueCountFrequency (%)
주식회사 85
 
0.7%
아모레카운셀러 42
 
0.3%
아모레 34
 
0.3%
지에스25 32
 
0.3%
이마트24 31
 
0.2%
세븐일레븐 22
 
0.2%
부산 21
 
0.2%
씨유(cu 20
 
0.2%
더 18
 
0.1%
지에스(gs)25 17
 
0.1%
Other values (10707) 12167
97.4%
2024-03-14T20:37:18.068790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2489
 
3.6%
점 1607
 
2.4%
이 1372
 
2.0%
스 1342
 
2.0%
원 1042
 
1.5%
리 931
 
1.4%
( 835
 
1.2%
) 831
 
1.2%
아 787
 
1.2%
어 764
 
1.1%
Other values (1070) 56241
82.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59094
86.6%
Space Separator 2489
 
3.6%
Uppercase Letter 2045
 
3.0%
Lowercase Letter 1645
 
2.4%
Decimal Number 1060
 
1.6%
Open Punctuation 836
 
1.2%
Close Punctuation 832
 
1.2%
Other Punctuation 199
 
0.3%
Dash Punctuation 30
 
< 0.1%
Connector Punctuation 7
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1607
 
2.7%
이 1372
 
2.3%
스 1342
 
2.3%
원 1042
 
1.8%
리 931
 
1.6%
아 787
 
1.3%
어 764
 
1.3%
산 751
 
1.3%
부 685
 
1.2%
대 647
 
1.1%
Other values (986) 49166
83.2%
Lowercase Letter
ValueCountFrequency (%)
e 226
13.7%
o 153
 
9.3%
a 152
 
9.2%
i 129
 
7.8%
n 112
 
6.8%
r 101
 
6.1%
t 94
 
5.7%
l 88
 
5.3%
s 81
 
4.9%
u 71
 
4.3%
Other values (16) 438
26.6%
Uppercase Letter
ValueCountFrequency (%)
S 197
 
9.6%
C 167
 
8.2%
G 136
 
6.7%
A 123
 
6.0%
E 119
 
5.8%
O 118
 
5.8%
T 99
 
4.8%
M 99
 
4.8%
N 95
 
4.6%
B 94
 
4.6%
Other values (16) 798
39.0%
Decimal Number
ValueCountFrequency (%)
2 293
27.6%
5 190
17.9%
1 160
15.1%
4 97
 
9.2%
0 92
 
8.7%
3 70
 
6.6%
6 45
 
4.2%
7 38
 
3.6%
8 38
 
3.6%
9 36
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 60
30.2%
. 59
29.6%
, 24
 
12.1%
/ 23
 
11.6%
# 16
 
8.0%
' 7
 
3.5%
? 4
 
2.0%
! 2
 
1.0%
: 2
 
1.0%
@ 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 835
99.9%
（ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 831
99.9%
） 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
2489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59087
86.6%
Common 5457
 
8.0%
Latin 3690
 
5.4%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1607
 
2.7%
이 1372
 
2.3%
스 1342
 
2.3%
원 1042
 
1.8%
리 931
 
1.6%
아 787
 
1.3%
어 764
 
1.3%
산 751
 
1.3%
부 685
 
1.2%
대 647
 
1.1%
Other values (980) 49159
83.2%
Latin
ValueCountFrequency (%)
e 226
 
6.1%
S 197
 
5.3%
C 167
 
4.5%
o 153
 
4.1%
a 152
 
4.1%
G 136
 
3.7%
i 129
 
3.5%
A 123
 
3.3%
E 119
 
3.2%
O 118
 
3.2%
Other values (42) 2170
58.8%
Common
ValueCountFrequency (%)
2489
45.6%
( 835
 
15.3%
) 831
 
15.2%
2 293
 
5.4%
5 190
 
3.5%
1 160
 
2.9%
4 97
 
1.8%
0 92
 
1.7%
3 70
 
1.3%
& 60
 
1.1%
Other values (22) 340
 
6.2%
Han
ValueCountFrequency (%)
美 2
28.6%
晶 1
14.3%
海 1
14.3%
姜 1
14.3%
人 1
14.3%
林 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59087
86.6%
ASCII 9143
 
13.4%
CJK 7
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2489
27.2%
( 835
 
9.1%
) 831
 
9.1%
2 293
 
3.2%
e 226
 
2.5%
S 197
 
2.2%
5 190
 
2.1%
C 167
 
1.8%
1 160
 
1.7%
o 153
 
1.7%
Other values (70) 3602
39.4%
Hangul
ValueCountFrequency (%)
점 1607
 
2.7%
이 1372
 
2.3%
스 1342
 
2.3%
원 1042
 
1.8%
리 931
 
1.6%
아 787
 
1.3%
어 764
 
1.3%
산 751
 
1.3%
부 685
 
1.2%
대 647
 
1.1%
Other values (980) 49159
83.2%
CJK
ValueCountFrequency (%)
美 2
28.6%
晶 1
14.3%
海 1
14.3%
姜 1
14.3%
人 1
14.3%
林 1
14.3%
None
ValueCountFrequency (%)
（ 1
25.0%
） 1
25.0%
２ 1
25.0%
· 1
25.0%

도로명주소
Text

Distinct9852
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T20:37:19.625686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length61
Mean length32.265
Min length16

Characters and Unicode

Total characters322650
Distinct characters601
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9729 ?
Unique (%)97.3%

Sample

1st row부산광역시 금정구 금사로 100 (금사동)
2nd row부산광역시 강서구 범방3로72번길 6 1층 (범방동)
3rd row부산광역시 해운대구 해운대로 407 104,201호 (우동,신세계프라자)
4th row부산광역시 동래구 사직로 80 223동 510호 상가 (사직동, 사직쌍용예가)
5th row부산광역시 연제구 거제시장로 16 (거제동)
ValueCountFrequency (%)
부산광역시 10000
 
16.7%
1층 2121
 
3.5%
부산진구 1264
 
2.1%
해운대구 1053
 
1.8%
동래구 841
 
1.4%
사하구 783
 
1.3%
2층 690
 
1.2%
금정구 668
 
1.1%
남구 657
 
1.1%
사상구 656
 
1.1%
Other values (8846) 41055
68.7%
2024-03-14T20:37:21.384064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59530
 
18.5%
1 13658
 
4.2%
동 13178
 
4.1%
부 12491
 
3.9%
산 12332
 
3.8%
시 10832
 
3.4%
광 10795
 
3.3%
구 10132
 
3.1%
역 10040
 
3.1%
로 9699
 
3.0%
Other values (591) 159963
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184125
57.1%
Space Separator 59530
 
18.5%
Decimal Number 51879
 
16.1%
Close Punctuation 9614
 
3.0%
Open Punctuation 9613
 
3.0%
Other Punctuation 5410
 
1.7%
Dash Punctuation 1746
 
0.5%
Uppercase Letter 678
 
0.2%
Math Symbol 28
 
< 0.1%
Lowercase Letter 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13178
 
7.2%
부 12491
 
6.8%
산 12332
 
6.7%
시 10832
 
5.9%
광 10795
 
5.9%
구 10132
 
5.5%
역 10040
 
5.5%
로 9699
 
5.3%
대 4759
 
2.6%
층 4526
 
2.5%
Other values (538) 85341
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 148
21.8%
A 104
15.3%
S 69
10.2%
K 46
 
6.8%
E 43
 
6.3%
C 39
 
5.8%
I 31
 
4.6%
W 29
 
4.3%
L 22
 
3.2%
V 21
 
3.1%
Other values (14) 126
18.6%
Decimal Number
ValueCountFrequency (%)
1 13658
26.3%
2 7856
15.1%
3 5463
 
10.5%
0 5095
 
9.8%
4 4347
 
8.4%
5 3713
 
7.2%
6 3338
 
6.4%
7 3109
 
6.0%
8 2726
 
5.3%
9 2574
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 16
64.0%
a 3
 
12.0%
l 1
 
4.0%
b 1
 
4.0%
c 1
 
4.0%
p 1
 
4.0%
h 1
 
4.0%
t 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 5364
99.1%
. 27
 
0.5%
/ 15
 
0.3%
& 3
 
0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
59530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9614
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9613
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1746
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184125
57.1%
Common 137820
42.7%
Latin 705
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13178
 
7.2%
부 12491
 
6.8%
산 12332
 
6.7%
시 10832
 
5.9%
광 10795
 
5.9%
구 10132
 
5.5%
역 10040
 
5.5%
로 9699
 
5.3%
대 4759
 
2.6%
층 4526
 
2.5%
Other values (538) 85341
46.3%
Latin
ValueCountFrequency (%)
B 148
21.0%
A 104
14.8%
S 69
9.8%
K 46
 
6.5%
E 43
 
6.1%
C 39
 
5.5%
I 31
 
4.4%
W 29
 
4.1%
L 22
 
3.1%
V 21
 
3.0%
Other values (23) 153
21.7%
Common
ValueCountFrequency (%)
59530
43.2%
1 13658
 
9.9%
) 9614
 
7.0%
( 9613
 
7.0%
2 7856
 
5.7%
3 5463
 
4.0%
, 5364
 
3.9%
0 5095
 
3.7%
4 4347
 
3.2%
5 3713
 
2.7%
Other values (10) 13567
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184125
57.1%
ASCII 138523
42.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59530
43.0%
1 13658
 
9.9%
) 9614
 
6.9%
( 9613
 
6.9%
2 7856
 
5.7%
3 5463
 
3.9%
, 5364
 
3.9%
0 5095
 
3.7%
4 4347
 
3.1%
5 3713
 
2.7%
Other values (42) 14270
 
10.3%
Hangul
ValueCountFrequency (%)
동 13178
 
7.2%
부 12491
 
6.8%
산 12332
 
6.7%
시 10832
 
5.9%
광 10795
 
5.9%
구 10132
 
5.5%
역 10040
 
5.5%
로 9699
 
5.3%
대 4759
 
2.6%
층 4526
 
2.5%
Other values (538) 85341
46.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

위도
Real number (ℝ)

Distinct8234
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.167257
Minimum35.028421
Maximum35.371418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:37:21.626319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.028421
5-th percentile35.086945
Q135.134227
median35.164332
Q335.200683
95-th percentile35.256763
Maximum35.371418
Range0.34299762
Interquartile range (IQR)0.066456462

Descriptive statistics

Standard deviation0.053587419
Coefficient of variation (CV)0.0015237873
Kurtosis0.50798254
Mean35.167257
Median Absolute Deviation (MAD)0.03449037
Skewness0.47104449
Sum351672.57
Variance0.0028716114
MonotonicityNot monotonic
2024-03-14T20:37:21.961810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.13642685 57
 
0.6%
35.16433176 56
 
0.6%
35.21592863 29
 
0.3%
35.14096866 24
 
0.2%
35.1342266 20
 
0.2%
35.14169296 20
 
0.2%
35.32811913 19
 
0.2%
35.15523634 15
 
0.1%
35.1691585 12
 
0.1%
35.20380888 12
 
0.1%
Other values (8224) 9736
97.4%
ValueCountFrequency (%)
35.02842069 1
< 0.1%
35.029303 1
< 0.1%
35.03323052 1
< 0.1%
35.03836297 1
< 0.1%
35.04641798 2
< 0.1%
35.04707367 1
< 0.1%
35.04755033 1
< 0.1%
35.04814619 1
< 0.1%
35.0481839 1
< 0.1%
35.04827535 1
< 0.1%
ValueCountFrequency (%)
35.37141831 1
< 0.1%
35.36971331 1
< 0.1%
35.36773449 1
< 0.1%
35.36261937 1
< 0.1%
35.35850829 1
< 0.1%
35.34930296 1
< 0.1%
35.34907103 1
< 0.1%
35.34577767 1
< 0.1%
35.34187953 1
< 0.1%
35.34103705 1
< 0.1%

경도
Real number (ℝ)

Distinct8216
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06435
Minimum128.81176
Maximum129.28955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T20:37:22.405969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.81176
5-th percentile128.96141
Q1129.01875
median129.06706
Q3129.10613
95-th percentile129.1784
Maximum129.28955
Range0.4777904
Interquartile range (IQR)0.087372225

Descriptive statistics

Standard deviation0.068981037
Coefficient of variation (CV)0.00053447011
Kurtosis0.42195366
Mean129.06435
Median Absolute Deviation (MAD)0.04277535
Skewness-0.067922748
Sum1290643.5
Variance0.0047583835
MonotonicityNot monotonic
2024-03-14T20:37:22.668328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0588381 57
 
0.6%
128.9777197 56
 
0.6%
129.1209289 29
 
0.3%
129.0610369 24
 
0.2%
129.0606732 21
 
0.2%
129.1112149 20
 
0.2%
129.1927482 19
 
0.2%
129.059137 15
 
0.1%
129.0859383 12
 
0.1%
129.176665 12
 
0.1%
Other values (8206) 9735
97.4%
ValueCountFrequency (%)
128.8117634 1
< 0.1%
128.8152996 1
< 0.1%
128.8153848 1
< 0.1%
128.8165596 1
< 0.1%
128.8310145 1
< 0.1%
128.8311832 1
< 0.1%
128.8322119 1
< 0.1%
128.8322295 1
< 0.1%
128.832481 1
< 0.1%
128.8326405 1
< 0.1%
ValueCountFrequency (%)
129.2895538 1
< 0.1%
129.2865218 1
< 0.1%
129.2851211 1
< 0.1%
129.2841588 1
< 0.1%
129.2824334 1
< 0.1%
129.281926 1
< 0.1%
129.2805433 1
< 0.1%
129.27969 1
< 0.1%
129.2776698 1
< 0.1%
129.2762234 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-05 00:00:00
Maximum2024-03-05 00:00:00
2024-03-14T20:37:23.017402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:37:23.311498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T20:37:14.300843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:37:13.755032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:37:14.570966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:37:14.035418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:37:23.514592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.774
경도0.7741.000
2024-03-14T20:37:23.733930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.493
경도0.4931.000

Missing values

2024-03-14T20:37:14.918147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:37:15.281430image/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

가맹점명도로명주소지번주소위도경도데이터기준일자
1124지에스25 금사사랑점부산광역시 금정구 금사로 100 (금사동)<NA>35.221286129.1127532024-03-05
20526브라운돈까스 부산 범방점부산광역시 강서구 범방3로72번길 6 1층 (범방동)<NA>35.149303128.8818392024-03-05
96938롯데리아센텀프라자빌딩점/(주)아이진코리부산광역시 해운대구 해운대로 407 104,201호 (우동,신세계프라자)<NA>35.167835129.1406962024-03-05
80882뮤지음악학원부산광역시 동래구 사직로 80 223동 510호 상가 (사직동, 사직쌍용예가)<NA>35.196624129.0575112024-03-05
88193토종먹거리부산광역시 연제구 거제시장로 16 (거제동)<NA>35.181039129.07192024-03-05
17885GS25연산하나점부산광역시 연제구 중앙대로1054번길 28 (연산동)<NA>35.181947129.0802672024-03-05
12327소막골부산광역시 해운대구 세실로 77 (좌동,성부빌딩 1층일부)<NA>35.171485129.1765452024-03-05
84810아모레외판부산광역시 해운대구 좌동순환로 77 우창 201호(좌동)<NA>35.173075129.1668962024-03-05
18694어썸헤어부산광역시 남구 수영로 135 상가 A동 204호 (대연동)<NA>35.135155129.0803062024-03-05
96044영도오복치과의원부산광역시 영도구 태종로 99 외1필지2층 (대교동2가)<NA>35.091604129.041732024-03-05
가맹점명도로명주소지번주소위도경도데이터기준일자
74012굿모닝유치과부산광역시 사상구 낙동대로 751 2층 203호 (엄궁동, 동일메가타워)<NA>35.12845128.9694672024-03-05
6841오늘엔 네일부산광역시 부산진구 서전로 18-1, 1 층 ( 부전동 )<NA>35.157585129.0616812024-03-05
67391이사벨서부산점부산광역시 사상구 새벽로167번길 17 (감전동)<NA>35.15611128.9822532024-03-05
55029홍연자명품김밥부산광역시 남구 분포로 145 (용호동)<NA>35.134227129.1112152024-03-05
18721신일복사부산광역시 남구 수영로293번길 30-4 (대연동)<NA>35.137712129.0977112024-03-05
48283할매재첩국부산광역시 사상구 낙동대로1530번길 20-15 (삼락동)<NA>35.193361128.9860622024-03-05
8348올림픽편의점부산광역시 해운대구 APEC로 68 (재)부산사회체육센터 내 (우동)<NA>35.167422129.1376942024-03-05
88085싹다한우식육점부산광역시 동래구 금강로124번길 19 (온천동)<NA>35.21959129.0811292024-03-05
86810천재교육서울특목학원부산광역시 사하구 하신번영로 405 5층 502호 503호 (하단동)<NA>35.117139128.9602932024-03-05
38482민락김치부산광역시 수영구 광안해변로277번길 45-1 (민락동)<NA>35.157882129.1235662024-03-05

Duplicate rows

Most frequently occurring

가맹점명도로명주소위도경도데이터기준일자# duplicates
18아모레카운셀러부산광역시 연제구 거제대로 94 6층(거제동, 대진빌딩)35.176916129.0682562024-03-055
4아모레부산광역시 동래구 아시아드대로 225 (온천동)35.204251129.0666162024-03-053
0GS25괴정점부산광역시 사하구 낙동대로 214 (괴정동)35.100438128.9934512024-03-052
1GS25기장교리1호점부산광역시 기장군 기장읍 차성동로 167-10102(가화만사성상가1층)35.247151129.2170952024-03-052
2구포시장식당가협동조합부산광역시 북구 구포시장3길 13 (구포동)35.208186129.0039892024-03-052
3동주온누리약국부산광역시 사하구 낙동대로 168 (괴정동)35.102331128.9978512024-03-052
5아모레부산광역시 동래구 온천장로 109 10층(온천동, 불이빌딩)35.2205129.084252024-03-052
6아모레부산광역시 부산진구 가야대로 454 501호(개금동)35.152899129.0216812024-03-052
7아모레부산광역시 북구 화명대로 35 901호(화명동, 신호타워)35.235161129.011992024-03-052
8아모레부산광역시 사상구 사상로 350 (덕포동)35.17575128.9846632024-03-052