Overview

Dataset statistics

Number of variables5
Number of observations1841
Missing cells639
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.0 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_동구_음식점현황_20191113
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3057419

Alerts

소재지(도로명) has 81 (4.4%) missing valuesMissing
소재지전화 has 558 (30.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 15:59:38.764833
Analysis finished2023-12-10 15:59:39.775372
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
일반음식점
1492 
휴게음식점
349 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반음식점
2nd row일반음식점
3rd row일반음식점
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 1492
81.0%
휴게음식점 349
 
19.0%

Length

2023-12-11T00:59:39.853389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:59:39.993824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1492
81.0%
휴게음식점 349
 
19.0%

업소명
Text

Distinct1764
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
2023-12-11T00:59:40.373786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length5.697447
Min length1

Characters and Unicode

Total characters10489
Distinct characters697
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1700 ?
Unique (%)92.3%

Sample

1st row썬더치킨(초량2호점)
2nd row누리치킨
3rd row중화각
4th row밀양식당
5th row만춘반점
ValueCountFrequency (%)
부산역점 22
 
1.0%
카페 9
 
0.4%
수정점 8
 
0.4%
커피 8
 
0.4%
범일점 7
 
0.3%
초량점 6
 
0.3%
미니스톱 6
 
0.3%
씨유 6
 
0.3%
진주식당 5
 
0.2%
부산진역점 5
 
0.2%
Other values (1950) 2127
96.3%
2023-12-11T00:59:40.883612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
3.5%
식 259
 
2.5%
점 218
 
2.1%
당 211
 
2.0%
이 176
 
1.7%
스 166
 
1.6%
산 151
 
1.4%
부 149
 
1.4%
집 135
 
1.3%
리 135
 
1.3%
Other values (687) 8521
81.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9211
87.8%
Space Separator 368
 
3.5%
Lowercase Letter 253
 
2.4%
Uppercase Letter 238
 
2.3%
Decimal Number 153
 
1.5%
Close Punctuation 117
 
1.1%
Open Punctuation 117
 
1.1%
Other Punctuation 27
 
0.3%
Letter Number 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 259
 
2.8%
점 218
 
2.4%
당 211
 
2.3%
이 176
 
1.9%
스 166
 
1.8%
산 151
 
1.6%
부 149
 
1.6%
집 135
 
1.5%
리 135
 
1.5%
수 128
 
1.4%
Other values (618) 7483
81.2%
Uppercase Letter
ValueCountFrequency (%)
C 25
 
10.5%
A 23
 
9.7%
B 17
 
7.1%
E 16
 
6.7%
S 16
 
6.7%
T 15
 
6.3%
P 15
 
6.3%
G 14
 
5.9%
L 13
 
5.5%
O 13
 
5.5%
Other values (13) 71
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 50
19.8%
o 25
9.9%
c 19
 
7.5%
f 17
 
6.7%
a 16
 
6.3%
i 15
 
5.9%
r 15
 
5.9%
t 13
 
5.1%
s 12
 
4.7%
n 12
 
4.7%
Other values (12) 59
23.3%
Decimal Number
ValueCountFrequency (%)
1 32
20.9%
2 30
19.6%
5 20
13.1%
8 19
12.4%
0 15
9.8%
7 11
 
7.2%
3 8
 
5.2%
4 7
 
4.6%
6 7
 
4.6%
9 4
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 12
44.4%
. 7
25.9%
, 3
 
11.1%
: 2
 
7.4%
' 2
 
7.4%
· 1
 
3.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
33.3%
ⅱ 1
33.3%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9202
87.7%
Common 784
 
7.5%
Latin 494
 
4.7%
Han 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 259
 
2.8%
점 218
 
2.4%
당 211
 
2.3%
이 176
 
1.9%
스 166
 
1.8%
산 151
 
1.6%
부 149
 
1.6%
집 135
 
1.5%
리 135
 
1.5%
수 128
 
1.4%
Other values (610) 7474
81.2%
Latin
ValueCountFrequency (%)
e 50
 
10.1%
C 25
 
5.1%
o 25
 
5.1%
A 23
 
4.7%
c 19
 
3.8%
B 17
 
3.4%
f 17
 
3.4%
a 16
 
3.2%
E 16
 
3.2%
S 16
 
3.2%
Other values (38) 270
54.7%
Common
ValueCountFrequency (%)
368
46.9%
) 117
 
14.9%
( 117
 
14.9%
1 32
 
4.1%
2 30
 
3.8%
5 20
 
2.6%
8 19
 
2.4%
0 15
 
1.9%
& 12
 
1.5%
7 11
 
1.4%
Other values (11) 43
 
5.5%
Han
ValueCountFrequency (%)
愛 2
22.2%
來 1
11.1%
快 1
11.1%
空 1
11.1%
間 1
11.1%
鷄 1
11.1%
味 1
11.1%
人 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9202
87.7%
ASCII 1274
 
12.1%
CJK 9
 
0.1%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
28.9%
) 117
 
9.2%
( 117
 
9.2%
e 50
 
3.9%
1 32
 
2.5%
2 30
 
2.4%
C 25
 
2.0%
o 25
 
2.0%
A 23
 
1.8%
5 20
 
1.6%
Other values (55) 467
36.7%
Hangul
ValueCountFrequency (%)
식 259
 
2.8%
점 218
 
2.4%
당 211
 
2.3%
이 176
 
1.9%
스 166
 
1.8%
산 151
 
1.6%
부 149
 
1.6%
집 135
 
1.5%
리 135
 
1.5%
수 128
 
1.4%
Other values (610) 7474
81.2%
CJK
ValueCountFrequency (%)
愛 2
22.2%
來 1
11.1%
快 1
11.1%
空 1
11.1%
間 1
11.1%
鷄 1
11.1%
味 1
11.1%
人 1
11.1%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
33.3%
ⅱ 1
33.3%
Ⅰ 1
33.3%

소재지(도로명)
Text

MISSING 

Distinct1481
Distinct (%)84.1%
Missing81
Missing (%)4.4%
Memory size14.5 KiB
2023-12-11T00:59:41.257233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length27.40625
Min length20

Characters and Unicode

Total characters48235
Distinct characters217
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1292 ?
Unique (%)73.4%

Sample

1st row부산광역시 동구 중앙대로221번길 13, 1층 (초량동)
2nd row부산광역시 동구 진성로9번길 13 (수정동)
3rd row부산광역시 동구 진성로 8-1 (수정동)
4th row부산광역시 동구 중앙대로251번길 8-1 (초량동)
5th row부산광역시 동구 대영로243번길 62 (초량동)
ValueCountFrequency (%)
동구 1762
18.4%
부산광역시 1760
18.4%
초량동 679
 
7.1%
범일동 489
 
5.1%
수정동 353
 
3.7%
1층 205
 
2.1%
중앙대로 162
 
1.7%
고관로 113
 
1.2%
범일로 77
 
0.8%
초량로 72
 
0.8%
Other values (1037) 3916
40.8%
2023-12-11T00:59:41.862008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7832
 
16.2%
동 3592
 
7.4%
1 2081
 
4.3%
부 1841
 
3.8%
) 1831
 
3.8%
( 1830
 
3.8%
산 1817
 
3.8%
시 1784
 
3.7%
구 1776
 
3.7%
역 1776
 
3.7%
Other values (207) 22075
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27409
56.8%
Space Separator 7832
 
16.2%
Decimal Number 7790
 
16.2%
Close Punctuation 1831
 
3.8%
Open Punctuation 1830
 
3.8%
Other Punctuation 870
 
1.8%
Dash Punctuation 643
 
1.3%
Uppercase Letter 21
 
< 0.1%
Math Symbol 8
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3592
 
13.1%
부 1841
 
6.7%
산 1817
 
6.6%
시 1784
 
6.5%
구 1776
 
6.5%
역 1776
 
6.5%
광 1761
 
6.4%
로 1732
 
6.3%
초 981
 
3.6%
량 974
 
3.6%
Other values (179) 9375
34.2%
Decimal Number
ValueCountFrequency (%)
1 2081
26.7%
2 1256
16.1%
3 906
11.6%
4 623
 
8.0%
9 564
 
7.2%
0 558
 
7.2%
6 532
 
6.8%
5 430
 
5.5%
8 425
 
5.5%
7 415
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
52.4%
A 4
 
19.0%
D 1
 
4.8%
J 1
 
4.8%
Y 1
 
4.8%
L 1
 
4.8%
I 1
 
4.8%
G 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 864
99.3%
/ 3
 
0.3%
. 2
 
0.2%
' 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7832
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1831
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1830
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 643
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27409
56.8%
Common 20804
43.1%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3592
 
13.1%
부 1841
 
6.7%
산 1817
 
6.6%
시 1784
 
6.5%
구 1776
 
6.5%
역 1776
 
6.5%
광 1761
 
6.4%
로 1732
 
6.3%
초 981
 
3.6%
량 974
 
3.6%
Other values (179) 9375
34.2%
Common
ValueCountFrequency (%)
7832
37.6%
1 2081
 
10.0%
) 1831
 
8.8%
( 1830
 
8.8%
2 1256
 
6.0%
3 906
 
4.4%
, 864
 
4.2%
- 643
 
3.1%
4 623
 
3.0%
9 564
 
2.7%
Other values (9) 2374
 
11.4%
Latin
ValueCountFrequency (%)
B 11
50.0%
A 4
 
18.2%
D 1
 
4.5%
Ⅱ 1
 
4.5%
J 1
 
4.5%
Y 1
 
4.5%
L 1
 
4.5%
I 1
 
4.5%
G 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27409
56.8%
ASCII 20825
43.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7832
37.6%
1 2081
 
10.0%
) 1831
 
8.8%
( 1830
 
8.8%
2 1256
 
6.0%
3 906
 
4.4%
, 864
 
4.1%
- 643
 
3.1%
4 623
 
3.0%
9 564
 
2.7%
Other values (17) 2395
 
11.5%
Hangul
ValueCountFrequency (%)
동 3592
 
13.1%
부 1841
 
6.7%
산 1817
 
6.6%
시 1784
 
6.5%
구 1776
 
6.5%
역 1776
 
6.5%
광 1761
 
6.4%
로 1732
 
6.3%
초 981
 
3.6%
량 974
 
3.6%
Other values (179) 9375
34.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1496
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
2023-12-11T00:59:42.266874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length58
Mean length25.640413
Min length4

Characters and Unicode

Total characters47204
Distinct characters201
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1285 ?
Unique (%)69.8%

Sample

1st row부산광역시 동구 초량동 394번지 3호
2nd row부산광역시 동구 수정동 1번지 119호
3rd row부산광역시 동구 수정동 1056번지 0호
4th row부산광역시 동구 수정동 284번지 0호
5th row부산광역시 동구 범일동 311번지 0호
ValueCountFrequency (%)
동구 1837
18.5%
부산광역시 1835
18.5%
초량동 772
 
7.8%
범일동 563
 
5.7%
수정동 423
 
4.3%
1호 237
 
2.4%
830번지 204
 
2.1%
1층 115
 
1.2%
2호 114
 
1.2%
5호 113
 
1.1%
Other values (1076) 3698
37.3%
2023-12-11T00:59:42.922316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11257
23.8%
동 3716
 
7.9%
1 2328
 
4.9%
부 1951
 
4.1%
지 1902
 
4.0%
산 1885
 
4.0%
역 1853
 
3.9%
호 1844
 
3.9%
시 1842
 
3.9%
구 1841
 
3.9%
Other values (191) 16785
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25356
53.7%
Space Separator 11257
23.8%
Decimal Number 9999
 
21.2%
Other Punctuation 222
 
0.5%
Dash Punctuation 194
 
0.4%
Open Punctuation 75
 
0.2%
Close Punctuation 75
 
0.2%
Uppercase Letter 21
 
< 0.1%
Math Symbol 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3716
14.7%
부 1951
7.7%
지 1902
 
7.5%
산 1885
 
7.4%
역 1853
 
7.3%
호 1844
 
7.3%
시 1842
 
7.3%
구 1841
 
7.3%
광 1836
 
7.2%
번 1836
 
7.2%
Other values (164) 4850
19.1%
Decimal Number
ValueCountFrequency (%)
1 2328
23.3%
2 1355
13.6%
3 1067
10.7%
0 999
10.0%
4 823
 
8.2%
8 817
 
8.2%
5 703
 
7.0%
6 696
 
7.0%
7 657
 
6.6%
9 554
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 13
61.9%
A 4
 
19.0%
G 1
 
4.8%
I 1
 
4.8%
L 1
 
4.8%
D 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 214
96.4%
/ 4
 
1.8%
. 2
 
0.9%
: 1
 
0.5%
' 1
 
0.5%
Space Separator
ValueCountFrequency (%)
11257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25356
53.7%
Common 21826
46.2%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3716
14.7%
부 1951
7.7%
지 1902
 
7.5%
산 1885
 
7.4%
역 1853
 
7.3%
호 1844
 
7.3%
시 1842
 
7.3%
구 1841
 
7.3%
광 1836
 
7.2%
번 1836
 
7.2%
Other values (164) 4850
19.1%
Common
ValueCountFrequency (%)
11257
51.6%
1 2328
 
10.7%
2 1355
 
6.2%
3 1067
 
4.9%
0 999
 
4.6%
4 823
 
3.8%
8 817
 
3.7%
5 703
 
3.2%
6 696
 
3.2%
7 657
 
3.0%
Other values (10) 1124
 
5.1%
Latin
ValueCountFrequency (%)
B 13
59.1%
A 4
 
18.2%
Ⅱ 1
 
4.5%
G 1
 
4.5%
I 1
 
4.5%
L 1
 
4.5%
D 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25356
53.7%
ASCII 21847
46.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11257
51.5%
1 2328
 
10.7%
2 1355
 
6.2%
3 1067
 
4.9%
0 999
 
4.6%
4 823
 
3.8%
8 817
 
3.7%
5 703
 
3.2%
6 696
 
3.2%
7 657
 
3.0%
Other values (16) 1145
 
5.2%
Hangul
ValueCountFrequency (%)
동 3716
14.7%
부 1951
7.7%
지 1902
 
7.5%
산 1885
 
7.4%
역 1853
 
7.3%
호 1844
 
7.3%
시 1842
 
7.3%
구 1841
 
7.3%
광 1836
 
7.2%
번 1836
 
7.2%
Other values (164) 4850
19.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지전화
Text

MISSING 

Distinct1242
Distinct (%)96.8%
Missing558
Missing (%)30.3%
Memory size14.5 KiB
2023-12-11T00:59:43.433726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.998441
Min length11

Characters and Unicode

Total characters15394
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

Unique1208 ?
Unique (%)94.2%

Sample

1st row051-441-1172
2nd row051-466-2194
3rd row051-467-1312
4th row051-467-3635
5th row051-646-5057
ValueCountFrequency (%)
051-463-4071 8
 
0.6%
051-441-5459 3
 
0.2%
051-467-7887 2
 
0.2%
051-467-0289 2
 
0.2%
051-463-3032 2
 
0.2%
051-632-5005 2
 
0.2%
051-635-7776 2
 
0.2%
051-467-4020 2
 
0.2%
051-466-8200 2
 
0.2%
051-442-1118 2
 
0.2%
Other values (1232) 1256
97.9%
2023-12-11T00:59:44.000994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2566
16.7%
0 1944
12.6%
5 1934
12.6%
1 1924
12.5%
6 1696
11.0%
4 1644
10.7%
3 904
 
5.9%
2 750
 
4.9%
7 727
 
4.7%
8 681
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12828
83.3%
Dash Punctuation 2566
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1944
15.2%
5 1934
15.1%
1 1924
15.0%
6 1696
13.2%
4 1644
12.8%
3 904
7.0%
2 750
 
5.8%
7 727
 
5.7%
8 681
 
5.3%
9 624
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 2566
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15394
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2566
16.7%
0 1944
12.6%
5 1934
12.6%
1 1924
12.5%
6 1696
11.0%
4 1644
10.7%
3 904
 
5.9%
2 750
 
4.9%
7 727
 
4.7%
8 681
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2566
16.7%
0 1944
12.6%
5 1934
12.6%
1 1924
12.5%
6 1696
11.0%
4 1644
10.7%
3 904
 
5.9%
2 750
 
4.9%
7 727
 
4.7%
8 681
 
4.4%

Missing values

2023-12-11T00:59:39.488665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:59:39.606785image/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.
2023-12-11T00:59:39.720089image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0일반음식점썬더치킨(초량2호점)부산광역시 동구 중앙대로221번길 13, 1층 (초량동)부산광역시 동구 초량동 394번지 3호051-441-1172
1일반음식점누리치킨부산광역시 동구 진성로9번길 13 (수정동)부산광역시 동구 수정동 1번지 119호051-466-2194
2일반음식점중화각<NA>부산광역시 동구 수정동 1056번지 0호051-467-1312
3일반음식점밀양식당<NA>부산광역시 동구 수정동 284번지 0호051-467-3635
4일반음식점만춘반점<NA>부산광역시 동구 범일동 311번지 0호051-646-5057
5일반음식점덕화원만두집부산광역시 동구 진성로 8-1 (수정동)부산광역시 동구 수정동 1번지 105호051-441-8807
6일반음식점동흥부산광역시 동구 중앙대로251번길 8-1 (초량동)부산광역시 동구 초량동 170번지 4호051-467-0816
7일반음식점복성루<NA>부산광역시 동구 초량동 35번지 0호051-442-1884
8일반음식점원향재부산광역시 동구 대영로243번길 62 (초량동)부산광역시 동구 초량동 561번지 1호051-468-5220
9일반음식점신발원부산광역시 동구 대영로243번길 62 (초량동)부산광역시 동구 초량동 561번지 1호051-467-0177
업종명업소명소재지(도로명)소재지(지번)소재지전화
1831휴게음식점커피랑 원두랑부산광역시 동구 고관로13번길 5-18, 1층 (초량동)부산광역시 동구 초량동 52번지 1호<NA>
1832휴게음식점비엔디부산광역시 동구 중앙대로231번길 51 (초량동)부산광역시 동구 초량동 295번지 14호<NA>
1833휴게음식점미니스톱 부산역점부산광역시 동구 중앙대로196번길 12-7, 1층 (초량동)부산광역시 동구 초량동 1203번지 4호<NA>
1834휴게음식점커피에반하다 부산진역점부산광역시 동구 중앙대로 350, 1층 101호 (초량동)부산광역시 동구 초량동 1149번지 2호<NA>
1835휴게음식점커피에반하다 부산진역점2부산광역시 동구 중앙대로 350, 1층 102호 (초량동)부산광역시 동구 초량동 1149번지 2호<NA>
1836휴게음식점히엘부산광역시 동구 중앙대로236번길 3-10, 1층 (초량동)부산광역시 동구 초량동 1194번지 3호 1층<NA>
1837휴게음식점커피소년부산광역시 동구 홍곡로 50, 상가동 지상1층 211호 (초량동, 이편한세상부산항)부산광역시 동구 초량동 1206번지 이편한세상부산항 상가동 211호<NA>
1838휴게음식점스타벅스 부산역라마다점부산광역시 동구 중앙대로196번길 10, 부산역라마다앙코르호텔 102,203,204호 (초량동)부산광역시 동구 초량동 1204번지 1호 부산역라마다앙코르호텔 102,203,204호<NA>
1839휴게음식점올리비아로렌 범일점부산광역시 동구 범일로 99, 1층 (범일동)부산광역시 동구 범일동 925번지 3호<NA>
1840휴게음식점스타벅스 부산역아스티점부산광역시 동구 중앙대로214번길 7-8, 아스티근생 107,108,212,213,214호 (초량동)부산광역시 동구 초량동 1201번지 1호 아스티근생 107,108,212,213,214호<NA>