Overview

Dataset statistics

Number of variables5
Number of observations1881
Missing cells581
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.6 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시_동구_음식점현황_10/20/2021
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3057419

Alerts

소재지전화 has 581 (30.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 15:59:46.938460
Analysis finished2023-12-10 15:59:48.469492
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
일반음식점
1511 
휴게음식점
370 

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 1511
80.3%
휴게음식점 370
 
19.7%

Length

2023-12-11T00:59:48.615299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:59:48.793509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1511
80.3%
휴게음식점 370
 
19.7%

업소명
Text

Distinct1809
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-11T00:59:49.271105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length5.943647
Min length1

Characters and Unicode

Total characters11180
Distinct characters719
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

Unique1750 ?
Unique (%)93.0%

Sample

1st row771
2nd row브레드웨이
3rd row참치정육점
4th row88중국대반점
5th row원조부산밀면
ValueCountFrequency (%)
부산역점 30
 
1.3%
범일점 13
 
0.6%
초량점 13
 
0.6%
카페 12
 
0.5%
씨유 10
 
0.4%
부산진역점 9
 
0.4%
수정점 9
 
0.4%
부산점 7
 
0.3%
커피 7
 
0.3%
식당 6
 
0.3%
Other values (2046) 2243
95.1%
2023-12-11T00:59:49.977026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
 
4.3%
점 279
 
2.5%
식 248
 
2.2%
당 206
 
1.8%
이 205
 
1.8%
부 179
 
1.6%
산 174
 
1.6%
스 173
 
1.5%
리 140
 
1.3%
수 137
 
1.2%
Other values (709) 8961
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9697
86.7%
Space Separator 478
 
4.3%
Uppercase Letter 283
 
2.5%
Lowercase Letter 245
 
2.2%
Decimal Number 188
 
1.7%
Close Punctuation 128
 
1.1%
Open Punctuation 128
 
1.1%
Other Punctuation 29
 
0.3%
Letter Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 279
 
2.9%
식 248
 
2.6%
당 206
 
2.1%
이 205
 
2.1%
부 179
 
1.8%
산 174
 
1.8%
스 173
 
1.8%
리 140
 
1.4%
수 137
 
1.4%
집 133
 
1.4%
Other values (639) 7823
80.7%
Uppercase Letter
ValueCountFrequency (%)
C 28
 
9.9%
A 28
 
9.9%
O 22
 
7.8%
S 21
 
7.4%
E 19
 
6.7%
G 19
 
6.7%
T 18
 
6.4%
B 17
 
6.0%
P 11
 
3.9%
F 11
 
3.9%
Other values (15) 89
31.4%
Lowercase Letter
ValueCountFrequency (%)
e 44
18.0%
o 27
11.0%
a 18
 
7.3%
c 18
 
7.3%
f 18
 
7.3%
t 12
 
4.9%
i 12
 
4.9%
r 12
 
4.9%
n 11
 
4.5%
l 11
 
4.5%
Other values (12) 62
25.3%
Decimal Number
ValueCountFrequency (%)
2 40
21.3%
1 36
19.1%
5 25
13.3%
8 20
10.6%
0 18
9.6%
4 14
 
7.4%
7 10
 
5.3%
6 10
 
5.3%
3 10
 
5.3%
9 5
 
2.7%
Other Punctuation
ValueCountFrequency (%)
& 15
51.7%
. 8
27.6%
, 3
 
10.3%
: 1
 
3.4%
' 1
 
3.4%
· 1
 
3.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
478
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9688
86.7%
Common 953
 
8.5%
Latin 530
 
4.7%
Han 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 279
 
2.9%
식 248
 
2.6%
당 206
 
2.1%
이 205
 
2.1%
부 179
 
1.8%
산 174
 
1.8%
스 173
 
1.8%
리 140
 
1.4%
수 137
 
1.4%
집 133
 
1.4%
Other values (631) 7814
80.7%
Latin
ValueCountFrequency (%)
e 44
 
8.3%
C 28
 
5.3%
A 28
 
5.3%
o 27
 
5.1%
O 22
 
4.2%
S 21
 
4.0%
E 19
 
3.6%
G 19
 
3.6%
a 18
 
3.4%
c 18
 
3.4%
Other values (39) 286
54.0%
Common
ValueCountFrequency (%)
478
50.2%
) 128
 
13.4%
( 128
 
13.4%
2 40
 
4.2%
1 36
 
3.8%
5 25
 
2.6%
8 20
 
2.1%
0 18
 
1.9%
& 15
 
1.6%
4 14
 
1.5%
Other values (11) 51
 
5.4%
Han
ValueCountFrequency (%)
愛 2
22.2%
鷄 1
11.1%
味 1
11.1%
空 1
11.1%
人 1
11.1%
來 1
11.1%
間 1
11.1%
快 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9688
86.7%
ASCII 1480
 
13.2%
CJK 9
 
0.1%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
478
32.3%
) 128
 
8.6%
( 128
 
8.6%
e 44
 
3.0%
2 40
 
2.7%
1 36
 
2.4%
C 28
 
1.9%
A 28
 
1.9%
o 27
 
1.8%
5 25
 
1.7%
Other values (57) 518
35.0%
Hangul
ValueCountFrequency (%)
점 279
 
2.9%
식 248
 
2.6%
당 206
 
2.1%
이 205
 
2.1%
부 179
 
1.8%
산 174
 
1.8%
스 173
 
1.8%
리 140
 
1.4%
수 137
 
1.4%
집 133
 
1.4%
Other values (631) 7814
80.7%
CJK
ValueCountFrequency (%)
愛 2
22.2%
鷄 1
11.1%
味 1
11.1%
空 1
11.1%
人 1
11.1%
來 1
11.1%
間 1
11.1%
快 1
11.1%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

소재지(도로명)
Text

Distinct1543
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-11T00:59:50.503576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length26.995747
Min length9

Characters and Unicode

Total characters50779
Distinct characters229
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

Unique1369 ?
Unique (%)72.8%

Sample

1st row부산광역시 동구 범일로 92-13 (범일동)
2nd row부산광역시 동구 수정동로 1-3 (수정동)
3rd row부산광역시 동구 초량중로 21, 1층 (초량동)
4th row부산광역시 동구 중앙대로 181, 1~2층 (초량동)
5th row부산광역시 동구 중앙대로231번길 7 (초량동)
ValueCountFrequency (%)
동구 1803
18.0%
부산광역시 1801
17.9%
초량동 696
 
6.9%
범일동 500
 
5.0%
수정동 362
 
3.6%
1층 260
 
2.6%
중앙대로 163
 
1.6%
고관로 114
 
1.1%
replace 80
 
0.8%
범일로 79
 
0.8%
Other values (1069) 4181
41.6%
2023-12-11T00:59:51.177767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8162
 
16.1%
동 3687
 
7.3%
1 2223
 
4.4%
부 1899
 
3.7%
산 1873
 
3.7%
) 1872
 
3.7%
( 1871
 
3.7%
시 1831
 
3.6%
역 1826
 
3.6%
구 1817
 
3.6%
Other values (219) 23718
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28401
55.9%
Space Separator 8162
 
16.1%
Decimal Number 8096
 
15.9%
Close Punctuation 1872
 
3.7%
Open Punctuation 1871
 
3.7%
Other Punctuation 977
 
1.9%
Dash Punctuation 648
 
1.3%
Uppercase Letter 580
 
1.1%
Math Symbol 171
 
0.3%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3687
 
13.0%
부 1899
 
6.7%
산 1873
 
6.6%
시 1831
 
6.4%
역 1826
 
6.4%
구 1817
 
6.4%
광 1802
 
6.3%
로 1773
 
6.2%
초 1007
 
3.5%
량 1000
 
3.5%
Other values (187) 9886
34.8%
Decimal Number
ValueCountFrequency (%)
1 2223
27.5%
2 1307
16.1%
3 921
11.4%
4 632
 
7.8%
0 595
 
7.3%
9 580
 
7.2%
6 541
 
6.7%
5 443
 
5.5%
8 428
 
5.3%
7 426
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
E 160
27.6%
A 84
14.5%
L 81
14.0%
R 80
13.8%
C 80
13.8%
P 80
13.8%
B 12
 
2.1%
I 1
 
0.2%
G 1
 
0.2%
D 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 971
99.4%
/ 3
 
0.3%
. 2
 
0.2%
' 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 80
46.8%
> 80
46.8%
~ 11
 
6.4%
Space Separator
ValueCountFrequency (%)
8162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 648
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28401
55.9%
Common 21797
42.9%
Latin 581
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3687
 
13.0%
부 1899
 
6.7%
산 1873
 
6.6%
시 1831
 
6.4%
역 1826
 
6.4%
구 1817
 
6.4%
광 1802
 
6.3%
로 1773
 
6.2%
초 1007
 
3.5%
량 1000
 
3.5%
Other values (187) 9886
34.8%
Common
ValueCountFrequency (%)
8162
37.4%
1 2223
 
10.2%
) 1872
 
8.6%
( 1871
 
8.6%
2 1307
 
6.0%
, 971
 
4.5%
3 921
 
4.2%
- 648
 
3.0%
4 632
 
2.9%
0 595
 
2.7%
Other values (11) 2595
 
11.9%
Latin
ValueCountFrequency (%)
E 160
27.5%
A 84
14.5%
L 81
13.9%
R 80
13.8%
C 80
13.8%
P 80
13.8%
B 12
 
2.1%
I 1
 
0.2%
G 1
 
0.2%
Ⅱ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28401
55.9%
ASCII 22377
44.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8162
36.5%
1 2223
 
9.9%
) 1872
 
8.4%
( 1871
 
8.4%
2 1307
 
5.8%
, 971
 
4.3%
3 921
 
4.1%
- 648
 
2.9%
4 632
 
2.8%
0 595
 
2.7%
Other values (21) 3175
 
14.2%
Hangul
ValueCountFrequency (%)
동 3687
 
13.0%
부 1899
 
6.7%
산 1873
 
6.6%
시 1831
 
6.4%
역 1826
 
6.4%
구 1817
 
6.4%
광 1802
 
6.3%
로 1773
 
6.2%
초 1007
 
3.5%
량 1000
 
3.5%
Other values (187) 9886
34.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1533
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-11T00:59:51.612013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length22.044125
Min length9

Characters and Unicode

Total characters41465
Distinct characters220
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

Unique1319 ?
Unique (%)70.1%

Sample

1st row부산광역시 동구 범일동 832-8
2nd row부산광역시 동구 수정동 800-8
3rd row부산광역시 동구 초량동 1057-3 1057-13, 1층 일부
4th row부산광역시 동구 초량동 1209-13 1층일부, 2층
5th row부산광역시 동구 초량동 349-1
ValueCountFrequency (%)
동구 1878
22.5%
부산광역시 1876
22.5%
초량동 788
 
9.4%
범일동 576
 
6.9%
수정동 430
 
5.1%
1층 106
 
1.3%
좌천동 82
 
1.0%
62-5 47
 
0.6%
일부 38
 
0.5%
2층 37
 
0.4%
Other values (1672) 2493
29.9%
2023-12-11T00:59:52.238900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8313
20.0%
동 3800
 
9.2%
1 2354
 
5.7%
부 2010
 
4.8%
- 1983
 
4.8%
산 1943
 
4.7%
역 1903
 
4.6%
시 1889
 
4.6%
구 1883
 
4.5%
광 1877
 
4.5%
Other values (210) 13510
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20574
49.6%
Decimal Number 10164
24.5%
Space Separator 8313
20.0%
Dash Punctuation 1983
 
4.8%
Other Punctuation 211
 
0.5%
Close Punctuation 72
 
0.2%
Open Punctuation 72
 
0.2%
Uppercase Letter 61
 
0.1%
Math Symbol 14
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3800
18.5%
부 2010
9.8%
산 1943
9.4%
역 1903
9.2%
시 1889
9.2%
구 1883
9.2%
광 1877
9.1%
초 790
 
3.8%
량 790
 
3.8%
일 675
 
3.3%
Other values (176) 3014
14.6%
Uppercase Letter
ValueCountFrequency (%)
B 14
23.0%
E 10
16.4%
A 9
14.8%
P 6
9.8%
L 6
9.8%
R 5
 
8.2%
C 5
 
8.2%
I 2
 
3.3%
D 1
 
1.6%
S 1
 
1.6%
Other values (2) 2
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 2354
23.2%
2 1368
13.5%
3 1092
10.7%
0 1021
10.0%
8 840
 
8.3%
4 834
 
8.2%
5 721
 
7.1%
6 716
 
7.0%
7 653
 
6.4%
9 565
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 205
97.2%
/ 3
 
1.4%
. 2
 
0.9%
' 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
< 5
35.7%
> 5
35.7%
~ 4
28.6%
Space Separator
ValueCountFrequency (%)
8313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1983
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20829
50.2%
Hangul 20574
49.6%
Latin 62
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3800
18.5%
부 2010
9.8%
산 1943
9.4%
역 1903
9.2%
시 1889
9.2%
구 1883
9.2%
광 1877
9.1%
초 790
 
3.8%
량 790
 
3.8%
일 675
 
3.3%
Other values (176) 3014
14.6%
Common
ValueCountFrequency (%)
8313
39.9%
1 2354
 
11.3%
- 1983
 
9.5%
2 1368
 
6.6%
3 1092
 
5.2%
0 1021
 
4.9%
8 840
 
4.0%
4 834
 
4.0%
5 721
 
3.5%
6 716
 
3.4%
Other values (11) 1587
 
7.6%
Latin
ValueCountFrequency (%)
B 14
22.6%
E 10
16.1%
A 9
14.5%
P 6
9.7%
L 6
9.7%
R 5
 
8.1%
C 5
 
8.1%
I 2
 
3.2%
D 1
 
1.6%
S 1
 
1.6%
Other values (3) 3
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20890
50.4%
Hangul 20574
49.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8313
39.8%
1 2354
 
11.3%
- 1983
 
9.5%
2 1368
 
6.5%
3 1092
 
5.2%
0 1021
 
4.9%
8 840
 
4.0%
4 834
 
4.0%
5 721
 
3.5%
6 716
 
3.4%
Other values (23) 1648
 
7.9%
Hangul
ValueCountFrequency (%)
동 3800
18.5%
부 2010
9.8%
산 1943
9.4%
역 1903
9.2%
시 1889
9.2%
구 1883
9.2%
광 1877
9.1%
초 790
 
3.8%
량 790
 
3.8%
일 675
 
3.3%
Other values (176) 3014
14.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지전화
Text

MISSING 

Distinct1251
Distinct (%)96.2%
Missing581
Missing (%)30.9%
Memory size14.8 KiB
2023-12-11T00:59:52.545049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029231
Min length11

Characters and Unicode

Total characters15638
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

Unique1213 ?
Unique (%)93.3%

Sample

1st row070-7806-2555
2nd row070-7752-5485
3rd row070-7740-0198
4th row070-7333-3116
5th row070-7313-8555
ValueCountFrequency (%)
070-7092-7130 6
 
0.5%
051-463-4071 6
 
0.5%
070-7092-7137 4
 
0.3%
051-441-5459 3
 
0.2%
051-632-5005 2
 
0.2%
051-468-7590 2
 
0.2%
051-442-3892 2
 
0.2%
051-667-1252 2
 
0.2%
051-465-2116 2
 
0.2%
051-644-5544 2
 
0.2%
Other values (1241) 1269
97.6%
2023-12-11T00:59:53.131141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2600
16.6%
0 2062
13.2%
1 1948
12.5%
5 1944
12.4%
6 1675
10.7%
4 1618
10.3%
3 915
 
5.9%
7 817
 
5.2%
2 751
 
4.8%
8 693
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13038
83.4%
Dash Punctuation 2600
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2062
15.8%
1 1948
14.9%
5 1944
14.9%
6 1675
12.8%
4 1618
12.4%
3 915
7.0%
7 817
 
6.3%
2 751
 
5.8%
8 693
 
5.3%
9 615
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 2600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15638
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2600
16.6%
0 2062
13.2%
1 1948
12.5%
5 1944
12.4%
6 1675
10.7%
4 1618
10.3%
3 915
 
5.9%
7 817
 
5.2%
2 751
 
4.8%
8 693
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2600
16.6%
0 2062
13.2%
1 1948
12.5%
5 1944
12.4%
6 1675
10.7%
4 1618
10.3%
3 915
 
5.9%
7 817
 
5.2%
2 751
 
4.8%
8 693
 
4.4%

Missing values

2023-12-11T00:59:48.003215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:59:48.311813image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0일반음식점771부산광역시 동구 범일로 92-13 (범일동)부산광역시 동구 범일동 832-8070-7806-2555
1일반음식점브레드웨이부산광역시 동구 수정동로 1-3 (수정동)부산광역시 동구 수정동 800-8070-7752-5485
2일반음식점참치정육점부산광역시 동구 초량중로 21, 1층 (초량동)부산광역시 동구 초량동 1057-3 1057-13, 1층 일부070-7740-0198
3일반음식점88중국대반점부산광역시 동구 중앙대로 181, 1~2층 (초량동)부산광역시 동구 초량동 1209-13 1층일부, 2층070-7333-3116
4일반음식점원조부산밀면부산광역시 동구 중앙대로231번길 7 (초량동)부산광역시 동구 초량동 349-1070-7313-8555
5일반음식점대성분식부산광역시 동구 범곡로 4 (범일동)부산광역시 동구 범일동 100-9070-7309-0980
6일반음식점소술담어탕부산광역시 동구 수정로 20-1 (수정동)부산광역시 동구 수정동 844-26070-7303-6116
7일반음식점양산국밥부산광역시 동구 중앙대로 206 (초량동)부산광역시 동구 초량동 1187-1070-7095-7130
8일반음식점푸드코트 부산역점부산광역시 동구 중앙대로 206, 부산역사내 4층 (초량동)부산광역시 동구 초량동 1187-1 부산역사내 4층070-7092-7135
9일반음식점나베야부산광역시 동구 중앙대로 206 (초량동,(3층))부산광역시 동구 초량동 1187-1 (3층)070-7092-7131
업종명업소명소재지(도로명)소재지(지번)소재지전화
1871휴게음식점돌부산광역시 동구 중앙대로 318 (초량동)부산광역시 동구 초량동 1157-2051-462-2326
1872휴게음식점투썸플레이스 부산역점부산광역시 동구 중앙대로 201 (초량동)부산광역시 동구 초량동 1208-17051-462-0220
1873휴게음식점할매분식부산광역시 동구 진성로9번길 21 (수정동,(1층))부산광역시 동구 수정동 3-2 (1층)051-441-3235
1874휴게음식점이삭토스트전문점부산광역시 동구 중앙대로371번길 20 (수정동)부산광역시 동구 수정동 210-9051-441-0252
1875휴게음식점프리포트부산광역시 동구 범일로90번길 17 (범일동)부산광역시 동구 범일동 830-62<NA>
1876휴게음식점산복제과부산광역시 동구 망양로 729-1 (수정동)부산광역시 동구 수정동 1163-19<NA>
1877휴게음식점석다원부산광역시 동구 중앙대로371번길 24-1 (수정동)부산광역시 동구 수정동 200-1<NA>
1878휴게음식점퍼플라이프부산광역시 동구 범일로 125 (범일동,현대백화점지하2층)부산광역시 동구 범일동 62-5 현대백화점지하2층043-275-1888
1879휴게음식점꼬투리김밥부산광역시 동구 범일로 125 (범일동,,B2층)부산광역시 동구 범일동 62-5 ,B2층<NA>
1880휴게음식점그린파이브부산광역시 동구 범일로 125 (범일동,, B2층)부산광역시 동구 범일동 62-5 , B2층<NA>