Overview

Dataset statistics

Number of variables5
Number of observations1835
Missing cells806
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.8 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산과역시 동구 일반음식점ㆍ휴게음식점의 업종명, 업소명, 소재지(도로명), 소재지(지번)에 대한 항목을 제공합니다.
Author부산광역시 동구
URLhttps://www.data.go.kr/data/3057419/fileData.do

Alerts

소재지(도로명) has 36 (2.0%) missing valuesMissing
소재지전화 has 765 (41.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:36:06.899997
Analysis finished2023-12-12 21:36:07.923131
Duration1.02 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
1441 
휴게음식점
394 

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 1441
78.5%
휴게음식점 394
 
21.5%

Length

2023-12-13T06:36:07.988947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:36:08.093924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1441
78.5%
휴게음식점 394
 
21.5%

업소명
Text

Distinct1783
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
2023-12-13T06:36:08.383255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length6.3765668
Min length1

Characters and Unicode

Total characters11701
Distinct characters743
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1738 ?
Unique (%)94.7%

Sample

1st row진짜배기 남원추어탕
2nd row둥지식당
3rd row소문난돼지국밥
4th row명란브랜드연구소/명란카페테리아
5th row협성프라자 협성뷔페
ValueCountFrequency (%)
부산역점 45
 
1.9%
초량점 37
 
1.5%
범일점 25
 
1.0%
부산진역점 15
 
0.6%
세븐일레븐 14
 
0.6%
수정점 14
 
0.6%
씨유 14
 
0.6%
부산초량점 13
 
0.5%
부산범일점 11
 
0.5%
부산점 9
 
0.4%
Other values (1988) 2230
91.9%
2023-12-13T06:36:08.833163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
592
 
5.1%
점 395
 
3.4%
산 247
 
2.1%
부 241
 
2.1%
이 208
 
1.8%
식 186
 
1.6%
스 179
 
1.5%
당 152
 
1.3%
일 145
 
1.2%
수 140
 
1.2%
Other values (733) 9216
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9996
85.4%
Space Separator 592
 
5.1%
Uppercase Letter 321
 
2.7%
Lowercase Letter 275
 
2.4%
Decimal Number 215
 
1.8%
Open Punctuation 130
 
1.1%
Close Punctuation 130
 
1.1%
Other Punctuation 37
 
0.3%
Dash Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 395
 
4.0%
산 247
 
2.5%
부 241
 
2.4%
이 208
 
2.1%
식 186
 
1.9%
스 179
 
1.8%
당 152
 
1.5%
일 145
 
1.5%
수 140
 
1.4%
초 132
 
1.3%
Other values (661) 7971
79.7%
Uppercase Letter
ValueCountFrequency (%)
C 30
 
9.3%
A 29
 
9.0%
S 28
 
8.7%
G 21
 
6.5%
O 21
 
6.5%
E 18
 
5.6%
T 18
 
5.6%
N 16
 
5.0%
B 16
 
5.0%
U 13
 
4.0%
Other values (15) 111
34.6%
Lowercase Letter
ValueCountFrequency (%)
e 45
16.4%
o 31
11.3%
a 24
 
8.7%
i 21
 
7.6%
f 20
 
7.3%
n 19
 
6.9%
r 15
 
5.5%
c 14
 
5.1%
t 14
 
5.1%
s 9
 
3.3%
Other values (13) 63
22.9%
Decimal Number
ValueCountFrequency (%)
2 45
20.9%
1 35
16.3%
5 32
14.9%
8 24
11.2%
0 23
10.7%
4 14
 
6.5%
9 12
 
5.6%
6 11
 
5.1%
7 11
 
5.1%
3 8
 
3.7%
Other Punctuation
ValueCountFrequency (%)
& 18
48.6%
. 9
24.3%
, 4
 
10.8%
' 3
 
8.1%
# 1
 
2.7%
/ 1
 
2.7%
: 1
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
592
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9989
85.4%
Common 1107
 
9.5%
Latin 598
 
5.1%
Han 5
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 395
 
4.0%
산 247
 
2.5%
부 241
 
2.4%
이 208
 
2.1%
식 186
 
1.9%
스 179
 
1.8%
당 152
 
1.5%
일 145
 
1.5%
수 140
 
1.4%
초 132
 
1.3%
Other values (654) 7964
79.7%
Latin
ValueCountFrequency (%)
e 45
 
7.5%
o 31
 
5.2%
C 30
 
5.0%
A 29
 
4.8%
S 28
 
4.7%
a 24
 
4.0%
i 21
 
3.5%
G 21
 
3.5%
O 21
 
3.5%
f 20
 
3.3%
Other values (40) 328
54.8%
Common
ValueCountFrequency (%)
592
53.5%
( 130
 
11.7%
) 130
 
11.7%
2 45
 
4.1%
1 35
 
3.2%
5 32
 
2.9%
8 24
 
2.2%
0 23
 
2.1%
& 18
 
1.6%
4 14
 
1.3%
Other values (12) 64
 
5.8%
Han
ValueCountFrequency (%)
愛 1
20.0%
空 1
20.0%
間 1
20.0%
人 1
20.0%
鮮 1
20.0%
Hiragana
ValueCountFrequency (%)
ん 1
50.0%
せ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9989
85.4%
ASCII 1703
 
14.6%
CJK 5
 
< 0.1%
Number Forms 2
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
592
34.8%
( 130
 
7.6%
) 130
 
7.6%
e 45
 
2.6%
2 45
 
2.6%
1 35
 
2.1%
5 32
 
1.9%
o 31
 
1.8%
C 30
 
1.8%
A 29
 
1.7%
Other values (60) 604
35.5%
Hangul
ValueCountFrequency (%)
점 395
 
4.0%
산 247
 
2.5%
부 241
 
2.4%
이 208
 
2.1%
식 186
 
1.9%
스 179
 
1.8%
당 152
 
1.5%
일 145
 
1.5%
수 140
 
1.4%
초 132
 
1.3%
Other values (654) 7964
79.7%
CJK
ValueCountFrequency (%)
愛 1
20.0%
空 1
20.0%
間 1
20.0%
人 1
20.0%
鮮 1
20.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Hiragana
ValueCountFrequency (%)
ん 1
50.0%
せ 1
50.0%

소재지(도로명)
Text

MISSING 

Distinct1586
Distinct (%)88.2%
Missing36
Missing (%)2.0%
Memory size14.5 KiB
2023-12-13T06:36:09.102229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length28.858255
Min length20

Characters and Unicode

Total characters51916
Distinct characters250
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1439 ?
Unique (%)80.0%

Sample

1st row부산광역시 동구 초량중로 73, 1층 (초량동)
2nd row부산광역시 동구 자성공원로3번길 23 (범일동)
3rd row부산광역시 동구 영초윗길 22-1 (초량동)
4th row부산광역시 동구 중앙대로 360 (수정동,(12층,13층))
5th row부산광역시 동구 진성로9번길 42 (수정동)
ValueCountFrequency (%)
동구 1800
17.3%
부산광역시 1799
17.3%
초량동 723
 
6.9%
범일동 516
 
5.0%
1층 463
 
4.4%
수정동 367
 
3.5%
중앙대로 176
 
1.7%
고관로 104
 
1.0%
2층 95
 
0.9%
범일로 81
 
0.8%
Other values (1111) 4285
41.2%
2023-12-13T06:36:09.506282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8614
 
16.6%
동 3732
 
7.2%
1 2465
 
4.7%
부 1911
 
3.7%
산 1902
 
3.7%
) 1858
 
3.6%
( 1857
 
3.6%
시 1852
 
3.6%
역 1834
 
3.5%
구 1812
 
3.5%
Other values (240) 24079
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29297
56.4%
Space Separator 8614
 
16.6%
Decimal Number 8404
 
16.2%
Close Punctuation 1858
 
3.6%
Open Punctuation 1857
 
3.6%
Other Punctuation 1196
 
2.3%
Dash Punctuation 610
 
1.2%
Uppercase Letter 46
 
0.1%
Math Symbol 19
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3732
 
12.7%
부 1911
 
6.5%
산 1902
 
6.5%
시 1852
 
6.3%
역 1834
 
6.3%
구 1812
 
6.2%
광 1802
 
6.2%
로 1770
 
6.0%
초 1028
 
3.5%
량 1019
 
3.5%
Other values (209) 10635
36.3%
Decimal Number
ValueCountFrequency (%)
1 2465
29.3%
2 1333
15.9%
3 923
 
11.0%
4 631
 
7.5%
0 621
 
7.4%
9 613
 
7.3%
6 513
 
6.1%
5 447
 
5.3%
7 438
 
5.2%
8 420
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 24
52.2%
A 15
32.6%
G 4
 
8.7%
D 1
 
2.2%
L 1
 
2.2%
P 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
42.9%
r 2
 
14.3%
i 2
 
14.3%
n 2
 
14.3%
v 2
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1188
99.3%
· 4
 
0.3%
/ 3
 
0.3%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8614
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1858
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1857
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 610
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29297
56.4%
Common 22558
43.5%
Latin 61
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3732
 
12.7%
부 1911
 
6.5%
산 1902
 
6.5%
시 1852
 
6.3%
역 1834
 
6.3%
구 1812
 
6.2%
광 1802
 
6.2%
로 1770
 
6.0%
초 1028
 
3.5%
량 1019
 
3.5%
Other values (209) 10635
36.3%
Common
ValueCountFrequency (%)
8614
38.2%
1 2465
 
10.9%
) 1858
 
8.2%
( 1857
 
8.2%
2 1333
 
5.9%
, 1188
 
5.3%
3 923
 
4.1%
4 631
 
2.8%
0 621
 
2.8%
9 613
 
2.7%
Other values (9) 2455
 
10.9%
Latin
ValueCountFrequency (%)
B 24
39.3%
A 15
24.6%
e 6
 
9.8%
G 4
 
6.6%
r 2
 
3.3%
i 2
 
3.3%
n 2
 
3.3%
v 2
 
3.3%
D 1
 
1.6%
Ⅱ 1
 
1.6%
Other values (2) 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29297
56.4%
ASCII 22614
43.6%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8614
38.1%
1 2465
 
10.9%
) 1858
 
8.2%
( 1857
 
8.2%
2 1333
 
5.9%
, 1188
 
5.3%
3 923
 
4.1%
4 631
 
2.8%
0 621
 
2.7%
9 613
 
2.7%
Other values (19) 2511
 
11.1%
Hangul
ValueCountFrequency (%)
동 3732
 
12.7%
부 1911
 
6.5%
산 1902
 
6.5%
시 1852
 
6.3%
역 1834
 
6.3%
구 1812
 
6.2%
광 1802
 
6.2%
로 1770
 
6.0%
초 1028
 
3.5%
량 1019
 
3.5%
Other values (209) 10635
36.3%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1448
Distinct (%)79.1%
Missing5
Missing (%)0.3%
Memory size14.5 KiB
2023-12-13T06:36:09.829817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length22.166667
Min length16

Characters and Unicode

Total characters40565
Distinct characters238
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1210 ?
Unique (%)66.1%

Sample

1st row부산광역시 동구 초량동 297-3
2nd row부산광역시 동구 범일동 575-2
3rd row부산광역시 동구 초량동 386-1
4th row부산광역시 동구 초량동 994-351
5th row부산광역시 동구 수정동 79-788 (12층,13층)
ValueCountFrequency (%)
동구 1831
22.5%
부산광역시 1830
22.5%
초량동 792
 
9.7%
범일동 568
 
7.0%
수정동 409
 
5.0%
1층 80
 
1.0%
좌천동 72
 
0.9%
62-5 40
 
0.5%
830-140 30
 
0.4%
1187-1 29
 
0.4%
Other values (1620) 2462
30.2%
2023-12-13T06:36:10.261001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8118
20.0%
동 3724
 
9.2%
1 2254
 
5.6%
부 1958
 
4.8%
산 1918
 
4.7%
- 1872
 
4.6%
역 1863
 
4.6%
시 1862
 
4.6%
구 1835
 
4.5%
광 1833
 
4.5%
Other values (228) 13328
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20565
50.7%
Decimal Number 9670
23.8%
Space Separator 8118
 
20.0%
Dash Punctuation 1872
 
4.6%
Other Punctuation 173
 
0.4%
Close Punctuation 61
 
0.2%
Open Punctuation 61
 
0.2%
Uppercase Letter 27
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3724
18.1%
부 1958
9.5%
산 1918
9.3%
역 1863
9.1%
시 1862
9.1%
구 1835
8.9%
광 1833
8.9%
량 797
 
3.9%
초 797
 
3.9%
일 660
 
3.2%
Other values (194) 3318
16.1%
Decimal Number
ValueCountFrequency (%)
1 2254
23.3%
2 1265
13.1%
3 1045
10.8%
0 966
10.0%
8 817
 
8.4%
4 815
 
8.4%
6 697
 
7.2%
5 683
 
7.1%
7 625
 
6.5%
9 503
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 10
37.0%
A 6
22.2%
G 4
 
14.8%
P 2
 
7.4%
V 1
 
3.7%
I 1
 
3.7%
S 1
 
3.7%
D 1
 
3.7%
L 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
42.9%
i 2
 
14.3%
r 2
 
14.3%
v 2
 
14.3%
n 2
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 165
95.4%
· 4
 
2.3%
/ 3
 
1.7%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
8118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20565
50.7%
Common 19958
49.2%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3724
18.1%
부 1958
9.5%
산 1918
9.3%
역 1863
9.1%
시 1862
9.1%
구 1835
8.9%
광 1833
8.9%
량 797
 
3.9%
초 797
 
3.9%
일 660
 
3.2%
Other values (194) 3318
16.1%
Common
ValueCountFrequency (%)
8118
40.7%
1 2254
 
11.3%
- 1872
 
9.4%
2 1265
 
6.3%
3 1045
 
5.2%
0 966
 
4.8%
8 817
 
4.1%
4 815
 
4.1%
6 697
 
3.5%
5 683
 
3.4%
Other values (9) 1426
 
7.1%
Latin
ValueCountFrequency (%)
B 10
23.8%
A 6
14.3%
e 6
14.3%
G 4
 
9.5%
i 2
 
4.8%
P 2
 
4.8%
r 2
 
4.8%
v 2
 
4.8%
n 2
 
4.8%
V 1
 
2.4%
Other values (5) 5
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20565
50.7%
ASCII 19995
49.3%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8118
40.6%
1 2254
 
11.3%
- 1872
 
9.4%
2 1265
 
6.3%
3 1045
 
5.2%
0 966
 
4.8%
8 817
 
4.1%
4 815
 
4.1%
6 697
 
3.5%
5 683
 
3.4%
Other values (22) 1463
 
7.3%
Hangul
ValueCountFrequency (%)
동 3724
18.1%
부 1958
9.5%
산 1918
9.3%
역 1863
9.1%
시 1862
9.1%
구 1835
8.9%
광 1833
8.9%
량 797
 
3.9%
초 797
 
3.9%
일 660
 
3.2%
Other values (194) 3318
16.1%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지전화
Text

MISSING 

Distinct1040
Distinct (%)97.2%
Missing765
Missing (%)41.7%
Memory size14.5 KiB
2023-12-13T06:36:10.527158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.999065
Min length11

Characters and Unicode

Total characters12839
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

Unique1016 ?
Unique (%)95.0%

Sample

1st row051-316-0023
2nd row051-404-5328
3rd row051-413-4331
4th row051-440-4813
5th row051-440-7080
ValueCountFrequency (%)
051-463-4071 6
 
0.6%
051-462-1466 4
 
0.4%
051-255-9494 2
 
0.2%
051-633-6001 2
 
0.2%
051-635-0700 2
 
0.2%
051-441-5459 2
 
0.2%
051-462-8877 2
 
0.2%
051-442-6620 2
 
0.2%
051-667-1252 2
 
0.2%
051-728-7011 2
 
0.2%
Other values (1030) 1044
97.6%
2023-12-13T06:36:10.869116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2140
16.7%
0 1657
12.9%
5 1644
12.8%
1 1634
12.7%
6 1382
10.8%
4 1324
10.3%
3 762
 
5.9%
2 617
 
4.8%
7 605
 
4.7%
8 566
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10699
83.3%
Dash Punctuation 2140
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1657
15.5%
5 1644
15.4%
1 1634
15.3%
6 1382
12.9%
4 1324
12.4%
3 762
7.1%
2 617
 
5.8%
7 605
 
5.7%
8 566
 
5.3%
9 508
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 2140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2140
16.7%
0 1657
12.9%
5 1644
12.8%
1 1634
12.7%
6 1382
10.8%
4 1324
10.3%
3 762
 
5.9%
2 617
 
4.8%
7 605
 
4.7%
8 566
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2140
16.7%
0 1657
12.9%
5 1644
12.8%
1 1634
12.7%
6 1382
10.8%
4 1324
10.3%
3 762
 
5.9%
2 617
 
4.8%
7 605
 
4.7%
8 566
 
4.4%

Missing values

2023-12-13T06:36:07.653297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:36:07.769339image/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.
2023-12-13T06:36:07.862581image/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
0일반음식점진짜배기 남원추어탕부산광역시 동구 초량중로 73, 1층 (초량동)부산광역시 동구 초량동 297-3051-316-0023
1일반음식점둥지식당부산광역시 동구 자성공원로3번길 23 (범일동)부산광역시 동구 범일동 575-2051-404-5328
2일반음식점소문난돼지국밥<NA>부산광역시 동구 초량동 386-1051-413-4331
3일반음식점명란브랜드연구소/명란카페테리아부산광역시 동구 영초윗길 22-1 (초량동)부산광역시 동구 초량동 994-351051-440-4813
4일반음식점협성프라자 협성뷔페부산광역시 동구 중앙대로 360 (수정동,(12층,13층))부산광역시 동구 수정동 79-788 (12층,13층)051-440-7080
5일반음식점수정동시장횟집부산광역시 동구 진성로9번길 42 (수정동)부산광역시 동구 수정동 184-2051-441-0133
6일반음식점둘래아구찜부산광역시 동구 중앙대로221번가길 13 (초량동,3/1)부산광역시 동구 초량동 367-0 3/1051-441-0215
7휴게음식점이삭토스트전문점부산광역시 동구 중앙대로371번길 20 (수정동)부산광역시 동구 수정동 210-9051-441-0252
8일반음식점신희식당부산광역시 동구 중앙대로180번길 6-11 (초량동)부산광역시 동구 초량동 1212-5051-441-0254
9일반음식점고메밀면부산광역시 동구 중앙대로214번길 3-10 (초량동,(1층))부산광역시 동구 초량동 1200-4 (1층)051-441-0555
업종명업소명소재지(도로명)소재지(지번)소재지전화
1825일반음식점88란주우육면부산광역시 동구 중앙대로 181, 1~2층 (초량동)부산광역시 동구 초량동 1209-13 1층일부, 2층<NA>
1826휴게음식점까꼬막까페부산광역시 동구 망양로600번가길 19 (초량동, 1-2층)부산광역시 동구 초량동 793-467<NA>
1827일반음식점참치정육점부산광역시 동구 초량중로 21, 1층 (초량동)부산광역시 동구 초량동 1057-3 1057-13, 1층 일부<NA>
1828일반음식점브레드웨이부산광역시 동구 수정동로 1-3 (수정동)부산광역시 동구 수정동 800-8<NA>
1829휴게음식점산복다방부산광역시 동구 망양로 752-1, 1층 (수정동)부산광역시 동구 수정동 749-21<NA>
1830휴게음식점이중섭 전망카페부산광역시 동구 증산로 168 (범일동)부산광역시 동구 범일동 1462-9<NA>
1831휴게음식점삼진어묵(주) 부산역광장부산광역시 동구 중앙대로214번길 7 (초량동)부산광역시 동구 초량동 1200-17<NA>
1832휴게음식점라이즈 커피부산광역시 동구 중앙대로180번길 6 (초량동)부산광역시 동구 초량동 1212-1<NA>
1833휴게음식점와커피 범일동일타워점부산광역시 동구 조방로 14, 판매2-111호 (범일동, 동일타워)부산광역시 동구 범일동 830-140 동일타워판매 제2-111호<NA>
1834휴게음식점스팟커피부산광역시 동구 중앙대로 263, 국제오피스텔 2층 202 일부호 (초량동)부산광역시 동구 초량동 1147-14 국제오피스텔<NA>