Overview

Dataset statistics

Number of variables5
Number of observations2430
Missing cells703
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory95.1 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시 북구 관내 일반음식점 현황으로 업소명, 소재지 도로명주소, 지번주소, 전화번호 등의 정보를 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/3069445/fileData.do

Alerts

업종명 has constant value ""Constant
전화번호 has 703 (28.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:21:04.782797
Analysis finished2023-12-12 10:21:05.794564
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
일반음식점
2430 

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 2430
100.0%

Length

2023-12-12T19:21:05.868319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:05.962507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2430
100.0%

업소명
Text

Distinct2305
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
2023-12-12T19:21:06.201667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length5.8798354
Min length1

Characters and Unicode

Total characters14288
Distinct characters768
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2206 ?
Unique (%)90.8%

Sample

1st row함안식당
2nd row밀양가마솥추어탕
3rd row동양반점
4th row강씨횟집
5th row제일횟집
ValueCountFrequency (%)
화명점 27
 
1.0%
덕천점 22
 
0.8%
만덕점 9
 
0.3%
옛날통닭 9
 
0.3%
가마치통닭 7
 
0.3%
부산화명점 7
 
0.3%
피자 5
 
0.2%
김밥천국 5
 
0.2%
금곡점 5
 
0.2%
불막열삼 5
 
0.2%
Other values (2463) 2634
96.3%
2023-12-12T19:21:06.685365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 432
 
3.0%
307
 
2.1%
이 270
 
1.9%
식 208
 
1.5%
리 205
 
1.4%
집 200
 
1.4%
덕 198
 
1.4%
화 196
 
1.4%
명 195
 
1.4%
구 187
 
1.3%
Other values (758) 11890
83.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13166
92.1%
Space Separator 307
 
2.1%
Decimal Number 230
 
1.6%
Uppercase Letter 170
 
1.2%
Close Punctuation 128
 
0.9%
Open Punctuation 128
 
0.9%
Lowercase Letter 103
 
0.7%
Other Punctuation 50
 
0.3%
Letter Number 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 432
 
3.3%
이 270
 
2.1%
식 208
 
1.6%
리 205
 
1.6%
집 200
 
1.5%
덕 198
 
1.5%
화 196
 
1.5%
명 195
 
1.5%
구 187
 
1.4%
치 184
 
1.4%
Other values (689) 10891
82.7%
Uppercase Letter
ValueCountFrequency (%)
O 23
13.5%
B 19
11.2%
C 16
 
9.4%
H 13
 
7.6%
I 12
 
7.1%
N 10
 
5.9%
D 10
 
5.9%
K 9
 
5.3%
S 9
 
5.3%
E 8
 
4.7%
Other values (13) 41
24.1%
Lowercase Letter
ValueCountFrequency (%)
o 12
11.7%
n 12
11.7%
l 12
11.7%
a 11
10.7%
e 8
 
7.8%
i 7
 
6.8%
r 7
 
6.8%
s 4
 
3.9%
u 4
 
3.9%
d 4
 
3.9%
Other values (11) 22
21.4%
Decimal Number
ValueCountFrequency (%)
0 57
24.8%
1 47
20.4%
2 26
11.3%
9 25
10.9%
7 23
10.0%
3 21
 
9.1%
4 10
 
4.3%
5 9
 
3.9%
6 6
 
2.6%
8 6
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 24
48.0%
, 8
 
16.0%
. 7
 
14.0%
· 3
 
6.0%
! 2
 
4.0%
/ 2
 
4.0%
# 2
 
4.0%
' 2
 
4.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅲ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13164
92.1%
Common 844
 
5.9%
Latin 278
 
1.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 432
 
3.3%
이 270
 
2.1%
식 208
 
1.6%
리 205
 
1.6%
집 200
 
1.5%
덕 198
 
1.5%
화 196
 
1.5%
명 195
 
1.5%
구 187
 
1.4%
치 184
 
1.4%
Other values (687) 10889
82.7%
Latin
ValueCountFrequency (%)
O 23
 
8.3%
B 19
 
6.8%
C 16
 
5.8%
H 13
 
4.7%
o 12
 
4.3%
n 12
 
4.3%
I 12
 
4.3%
l 12
 
4.3%
a 11
 
4.0%
N 10
 
3.6%
Other values (37) 138
49.6%
Common
ValueCountFrequency (%)
307
36.4%
) 128
15.2%
( 128
15.2%
0 57
 
6.8%
1 47
 
5.6%
2 26
 
3.1%
9 25
 
3.0%
& 24
 
2.8%
7 23
 
2.7%
3 21
 
2.5%
Other values (12) 58
 
6.9%
Han
ValueCountFrequency (%)
新 1
50.0%
家 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13161
92.1%
ASCII 1114
 
7.8%
Number Forms 5
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 432
 
3.3%
이 270
 
2.1%
식 208
 
1.6%
리 205
 
1.6%
집 200
 
1.5%
덕 198
 
1.5%
화 196
 
1.5%
명 195
 
1.5%
구 187
 
1.4%
치 184
 
1.4%
Other values (684) 10886
82.7%
ASCII
ValueCountFrequency (%)
307
27.6%
) 128
 
11.5%
( 128
 
11.5%
0 57
 
5.1%
1 47
 
4.2%
2 26
 
2.3%
9 25
 
2.2%
& 24
 
2.2%
O 23
 
2.1%
7 23
 
2.1%
Other values (55) 326
29.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅲ 1
 
20.0%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅌ 1
33.3%
ㄷ 1
33.3%
ㄴ 1
33.3%
CJK
ValueCountFrequency (%)
新 1
50.0%
家 1
50.0%

소재지(도로명)
Text

Distinct2227
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
2023-12-12T19:21:07.027656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length29.733745
Min length19

Characters and Unicode

Total characters72253
Distinct characters279
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2064 ?
Unique (%)84.9%

Sample

1st row부산광역시 북구 구포만세길 77 (구포동)
2nd row부산광역시 북구 효열로219번길 42 (금곡동)
3rd row부산광역시 북구 구포만세길 99 (구포동)
4th row부산광역시 북구 구포시장7길 15 (구포동)
5th row부산광역시 북구 금곡대로7번길 7 (덕천동)
ValueCountFrequency (%)
부산광역시 2430
 
17.0%
북구 2430
 
17.0%
구포동 629
 
4.4%
덕천동 599
 
4.2%
1층 579
 
4.1%
화명동 531
 
3.7%
만덕동 360
 
2.5%
2층 150
 
1.1%
금곡동 137
 
1.0%
금곡대로 113
 
0.8%
Other values (1363) 6296
44.2%
2023-12-12T19:21:07.574749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11832
 
16.4%
1 3410
 
4.7%
구 3195
 
4.4%
동 2796
 
3.9%
시 2741
 
3.8%
산 2513
 
3.5%
부 2480
 
3.4%
북 2460
 
3.4%
( 2444
 
3.4%
) 2444
 
3.4%
Other values (269) 35938
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41154
57.0%
Decimal Number 12224
 
16.9%
Space Separator 11832
 
16.4%
Open Punctuation 2444
 
3.4%
Close Punctuation 2444
 
3.4%
Other Punctuation 1791
 
2.5%
Dash Punctuation 290
 
0.4%
Uppercase Letter 59
 
0.1%
Math Symbol 14
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3195
 
7.8%
동 2796
 
6.8%
시 2741
 
6.7%
산 2513
 
6.1%
부 2480
 
6.0%
북 2460
 
6.0%
광 2432
 
5.9%
역 2430
 
5.9%
로 2210
 
5.4%
덕 1807
 
4.4%
Other values (244) 16090
39.1%
Decimal Number
ValueCountFrequency (%)
1 3410
27.9%
2 1930
15.8%
0 1294
 
10.6%
3 1174
 
9.6%
6 824
 
6.7%
5 804
 
6.6%
4 784
 
6.4%
7 745
 
6.1%
8 735
 
6.0%
9 524
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 28
47.5%
B 22
37.3%
E 4
 
6.8%
D 3
 
5.1%
F 2
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 1780
99.4%
@ 9
 
0.5%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11832
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2444
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41154
57.0%
Common 31039
43.0%
Latin 60
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3195
 
7.8%
동 2796
 
6.8%
시 2741
 
6.7%
산 2513
 
6.1%
부 2480
 
6.0%
북 2460
 
6.0%
광 2432
 
5.9%
역 2430
 
5.9%
로 2210
 
5.4%
덕 1807
 
4.4%
Other values (244) 16090
39.1%
Common
ValueCountFrequency (%)
11832
38.1%
1 3410
 
11.0%
( 2444
 
7.9%
) 2444
 
7.9%
2 1930
 
6.2%
, 1780
 
5.7%
0 1294
 
4.2%
3 1174
 
3.8%
6 824
 
2.7%
5 804
 
2.6%
Other values (9) 3103
 
10.0%
Latin
ValueCountFrequency (%)
A 28
46.7%
B 22
36.7%
E 4
 
6.7%
D 3
 
5.0%
F 2
 
3.3%
e 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41154
57.0%
ASCII 31099
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11832
38.0%
1 3410
 
11.0%
( 2444
 
7.9%
) 2444
 
7.9%
2 1930
 
6.2%
, 1780
 
5.7%
0 1294
 
4.2%
3 1174
 
3.8%
6 824
 
2.6%
5 804
 
2.6%
Other values (15) 3163
 
10.2%
Hangul
ValueCountFrequency (%)
구 3195
 
7.8%
동 2796
 
6.8%
시 2741
 
6.7%
산 2513
 
6.1%
부 2480
 
6.0%
북 2460
 
6.0%
광 2432
 
5.9%
역 2430
 
5.9%
로 2210
 
5.4%
덕 1807
 
4.4%
Other values (244) 16090
39.1%

소재지(지번)
Text

Distinct2218
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
2023-12-12T19:21:07.923287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length26.388889
Min length10

Characters and Unicode

Total characters64125
Distinct characters258
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2050 ?
Unique (%)84.4%

Sample

1st row부산광역시 북구 구포동 1060-344번지
2nd row부산광역시 북구 금곡동 240번지
3rd row부산광역시 북구 구포동 1060-64번지
4th row부산광역시 북구 구포동 592-18번지
5th row부산광역시 북구 덕천동 353-11번지
ValueCountFrequency (%)
부산광역시 2430
19.9%
북구 2430
19.9%
구포동 648
 
5.3%
화명동 632
 
5.2%
덕천동 622
 
5.1%
1층 591
 
4.8%
만덕동 370
 
3.0%
2층 167
 
1.4%
금곡동 151
 
1.2%
상가동 69
 
0.6%
Other values (2120) 4092
33.5%
2023-12-12T19:21:08.427563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12947
20.2%
1 3581
 
5.6%
구 3083
 
4.8%
동 2677
 
4.2%
지 2540
 
4.0%
부 2481
 
3.9%
산 2475
 
3.9%
2 2467
 
3.8%
시 2447
 
3.8%
광 2433
 
3.8%
Other values (248) 26994
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34664
54.1%
Decimal Number 14202
22.1%
Space Separator 12947
 
20.2%
Dash Punctuation 2249
 
3.5%
Uppercase Letter 59
 
0.1%
Math Symbol 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3083
 
8.9%
동 2677
 
7.7%
지 2540
 
7.3%
부 2481
 
7.2%
산 2475
 
7.1%
시 2447
 
7.1%
광 2433
 
7.0%
북 2430
 
7.0%
역 2430
 
7.0%
번 2424
 
7.0%
Other values (229) 9244
26.7%
Decimal Number
ValueCountFrequency (%)
1 3581
25.2%
2 2467
17.4%
3 1427
 
10.0%
0 1345
 
9.5%
4 1129
 
7.9%
9 892
 
6.3%
7 877
 
6.2%
6 872
 
6.1%
5 831
 
5.9%
8 781
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 27
45.8%
B 22
37.3%
E 5
 
8.5%
D 3
 
5.1%
F 2
 
3.4%
Space Separator
ValueCountFrequency (%)
12947
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2249
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34664
54.1%
Common 29402
45.9%
Latin 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3083
 
8.9%
동 2677
 
7.7%
지 2540
 
7.3%
부 2481
 
7.2%
산 2475
 
7.1%
시 2447
 
7.1%
광 2433
 
7.0%
북 2430
 
7.0%
역 2430
 
7.0%
번 2424
 
7.0%
Other values (229) 9244
26.7%
Common
ValueCountFrequency (%)
12947
44.0%
1 3581
 
12.2%
2 2467
 
8.4%
- 2249
 
7.6%
3 1427
 
4.9%
0 1345
 
4.6%
4 1129
 
3.8%
9 892
 
3.0%
7 877
 
3.0%
6 872
 
3.0%
Other values (4) 1616
 
5.5%
Latin
ValueCountFrequency (%)
A 27
45.8%
B 22
37.3%
E 5
 
8.5%
D 3
 
5.1%
F 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34664
54.1%
ASCII 29461
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12947
43.9%
1 3581
 
12.2%
2 2467
 
8.4%
- 2249
 
7.6%
3 1427
 
4.8%
0 1345
 
4.6%
4 1129
 
3.8%
9 892
 
3.0%
7 877
 
3.0%
6 872
 
3.0%
Other values (9) 1675
 
5.7%
Hangul
ValueCountFrequency (%)
구 3083
 
8.9%
동 2677
 
7.7%
지 2540
 
7.3%
부 2481
 
7.2%
산 2475
 
7.1%
시 2447
 
7.1%
광 2433
 
7.0%
북 2430
 
7.0%
역 2430
 
7.0%
번 2424
 
7.0%
Other values (229) 9244
26.7%

전화번호
Text

MISSING 

Distinct1588
Distinct (%)92.0%
Missing703
Missing (%)28.9%
Memory size19.1 KiB
2023-12-12T19:21:08.709068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.020845
Min length12

Characters and Unicode

Total characters20760
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

Unique1479 ?
Unique (%)85.6%

Sample

1st row051-331-1991
2nd row051-365-3434
3rd row051-332-3163
4th row051-334-1150
5th row051-333-0576
ValueCountFrequency (%)
051-337-4880 8
 
0.5%
051-305-9298 5
 
0.3%
051-332-2193 5
 
0.3%
051-333-2205 4
 
0.2%
051-335-6846 4
 
0.2%
051-343-4274 4
 
0.2%
051-361-5369 3
 
0.2%
051-335-6667 3
 
0.2%
051-338-0013 3
 
0.2%
051-343-8989 3
 
0.2%
Other values (1578) 1685
97.6%
2023-12-12T19:21:09.117478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3681
17.7%
- 3454
16.6%
5 2685
12.9%
0 2637
12.7%
1 2591
12.5%
2 1128
 
5.4%
6 1053
 
5.1%
4 1038
 
5.0%
8 909
 
4.4%
7 806
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17306
83.4%
Dash Punctuation 3454
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3681
21.3%
5 2685
15.5%
0 2637
15.2%
1 2591
15.0%
2 1128
 
6.5%
6 1053
 
6.1%
4 1038
 
6.0%
8 909
 
5.3%
7 806
 
4.7%
9 778
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 3454
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3681
17.7%
- 3454
16.6%
5 2685
12.9%
0 2637
12.7%
1 2591
12.5%
2 1128
 
5.4%
6 1053
 
5.1%
4 1038
 
5.0%
8 909
 
4.4%
7 806
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3681
17.7%
- 3454
16.6%
5 2685
12.9%
0 2637
12.7%
1 2591
12.5%
2 1128
 
5.4%
6 1053
 
5.1%
4 1038
 
5.0%
8 909
 
4.4%
7 806
 
3.9%

Missing values

2023-12-12T19:21:05.621203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:21:05.741487image/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)전화번호
0일반음식점함안식당부산광역시 북구 구포만세길 77 (구포동)부산광역시 북구 구포동 1060-344번지051-331-1991
1일반음식점밀양가마솥추어탕부산광역시 북구 효열로219번길 42 (금곡동)부산광역시 북구 금곡동 240번지051-365-3434
2일반음식점동양반점부산광역시 북구 구포만세길 99 (구포동)부산광역시 북구 구포동 1060-64번지051-332-3163
3일반음식점강씨횟집부산광역시 북구 구포시장7길 15 (구포동)부산광역시 북구 구포동 592-18번지051-334-1150
4일반음식점제일횟집부산광역시 북구 금곡대로7번길 7 (덕천동)부산광역시 북구 덕천동 353-11번지051-333-0576
5일반음식점만덕반점중국관부산광역시 북구 만덕1로 16 (만덕동)부산광역시 북구 만덕동 829-8번지051-332-2654
6일반음식점진주생숯불갈비부산광역시 북구 구포만세길 110 (구포동)부산광역시 북구 구포동 1060-119번지051-333-7427
7일반음식점개미식당부산광역시 북구 만덕대로 169 (덕천동)부산광역시 북구 덕천동 371-1번지051-332-5878
8일반음식점진이네조삼포부산광역시 북구 의성로109번길 55 (덕천동)부산광역시 북구 덕천동 387-25번지051-334-5077
9일반음식점잔애잔부산광역시 북구 덕천1길 37 (덕천동)부산광역시 북구 덕천동 401-24번지051-332-8454
업종명업소명소재지(도로명)소재지(지번)전화번호
2420일반음식점행복푸드부산광역시 북구 만덕대로90번길 13, 2호동 108호 (덕천동, 대방아파트)부산광역시 북구 덕천동 388-1번지 대방 2호동 108호<NA>
2421일반음식점썬더치킨 화명2호점부산광역시 북구 화명신도시로 232, 지유빌딩 1층 (금곡동)부산광역시 북구 금곡동 1887-3번지 지유빌딩 1층<NA>
2422일반음식점최고집부산광역시 북구 상리로 44, 1층 (만덕동)부산광역시 북구 만덕동 869-5번지 1층<NA>
2423일반음식점진미실비부산광역시 북구 만덕대로127번길 14-4, 1층 (덕천동)부산광역시 북구 덕천동 374-1번지 1층<NA>
2424일반음식점경성수라간부산광역시 북구 덕천로276번길 32-64, 지하1층 (만덕동)부산광역시 북구 만덕동 835-26번지 지하1층<NA>
2425일반음식점지안부산광역시 북구 산성로12번길 63, 1층 (화명동)부산광역시 북구 화명동 1421-5번지 1층<NA>
2426일반음식점테라브런치부산광역시 북구 화명신도시로 132, 위너스타워 202호 (화명동)부산광역시 북구 화명동 2268-1번지 위너스타워 202호<NA>
2427일반음식점남도장어구이부산광역시 북구 구포시장3길 12, 1층 (구포동)부산광역시 북구 구포동 589-43번지 1층<NA>
2428일반음식점행복한마라탕 행마식당 부산북구점부산광역시 북구 금곡대로285번길 46, 큐빅스타워 5층 502호 (화명동)부산광역시 북구 화명동 2276-4번지 큐빅스타워 5층 502호<NA>
2429일반음식점마라골목부산광역시 북구 덕천2길 23-6, 1층 (덕천동)부산광역시 북구 덕천동 403-42번지 1층<NA>