Overview

Dataset statistics

Number of variables5
Number of observations421
Missing cells183
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 KiB
Average record size in memory40.3 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시북구_즉석판매제조가공업현황_20221027
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3069439

Alerts

업종명 has constant value ""Constant
소재지전화 has 183 (43.5%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:26:42.656736
Analysis finished2023-12-10 17:26:43.651750
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
즉석판매제조가공업
421 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 421
100.0%

Length

2023-12-11T02:26:43.771863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:43.946989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 421
100.0%

업소명
Text

Distinct409
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T02:26:44.323893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length5.8836105
Min length2

Characters and Unicode

Total characters2477
Distinct characters406
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique397 ?
Unique (%)94.3%

Sample

1st row창녕상회
2nd row구포떡방앗간
3rd row제일떡방앗간
4th row밀양상회
5th row우리상회
ValueCountFrequency (%)
주식회사 3
 
0.7%
주)아미푸드 2
 
0.4%
신마트 2
 
0.4%
롯데쇼핑(주)롯데마트화명점 2
 
0.4%
롯데쇼핑(주 2
 
0.4%
만덕점 2
 
0.4%
떡마을 2
 
0.4%
의성상회 2
 
0.4%
다원푸드 2
 
0.4%
제일상회 2
 
0.4%
Other values (431) 437
95.4%
2023-12-11T02:26:44.982122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
떡 63
 
2.5%
원 51
 
2.1%
방 48
 
1.9%
간 45
 
1.8%
앗 43
 
1.7%
점 42
 
1.7%
산 40
 
1.6%
) 38
 
1.5%
( 37
 
1.5%
회 37
 
1.5%
Other values (396) 2033
82.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2258
91.2%
Lowercase Letter 61
 
2.5%
Close Punctuation 38
 
1.5%
Open Punctuation 37
 
1.5%
Space Separator 37
 
1.5%
Uppercase Letter 24
 
1.0%
Decimal Number 13
 
0.5%
Other Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
떡 63
 
2.8%
원 51
 
2.3%
방 48
 
2.1%
간 45
 
2.0%
앗 43
 
1.9%
점 42
 
1.9%
산 40
 
1.8%
회 37
 
1.6%
이 34
 
1.5%
리 33
 
1.5%
Other values (349) 1822
80.7%
Lowercase Letter
ValueCountFrequency (%)
e 15
24.6%
s 7
11.5%
a 7
11.5%
t 5
 
8.2%
r 5
 
8.2%
l 4
 
6.6%
o 3
 
4.9%
c 2
 
3.3%
n 2
 
3.3%
m 2
 
3.3%
Other values (8) 9
14.8%
Uppercase Letter
ValueCountFrequency (%)
D 3
12.5%
S 3
12.5%
A 3
12.5%
E 2
8.3%
L 2
8.3%
J 2
8.3%
B 2
8.3%
V 1
 
4.2%
R 1
 
4.2%
Y 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
6 3
23.1%
3 2
15.4%
5 2
15.4%
1 2
15.4%
2 1
 
7.7%
9 1
 
7.7%
8 1
 
7.7%
4 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 3
33.3%
' 3
33.3%
: 2
22.2%
& 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2258
91.2%
Common 134
 
5.4%
Latin 85
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
떡 63
 
2.8%
원 51
 
2.3%
방 48
 
2.1%
간 45
 
2.0%
앗 43
 
1.9%
점 42
 
1.9%
산 40
 
1.8%
회 37
 
1.6%
이 34
 
1.5%
리 33
 
1.5%
Other values (349) 1822
80.7%
Latin
ValueCountFrequency (%)
e 15
17.6%
s 7
 
8.2%
a 7
 
8.2%
t 5
 
5.9%
r 5
 
5.9%
l 4
 
4.7%
o 3
 
3.5%
D 3
 
3.5%
S 3
 
3.5%
A 3
 
3.5%
Other values (22) 30
35.3%
Common
ValueCountFrequency (%)
) 38
28.4%
( 37
27.6%
37
27.6%
. 3
 
2.2%
6 3
 
2.2%
' 3
 
2.2%
3 2
 
1.5%
5 2
 
1.5%
: 2
 
1.5%
1 2
 
1.5%
Other values (5) 5
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2258
91.2%
ASCII 219
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
떡 63
 
2.8%
원 51
 
2.3%
방 48
 
2.1%
간 45
 
2.0%
앗 43
 
1.9%
점 42
 
1.9%
산 40
 
1.8%
회 37
 
1.6%
이 34
 
1.5%
리 33
 
1.5%
Other values (349) 1822
80.7%
ASCII
ValueCountFrequency (%)
) 38
17.4%
( 37
16.9%
37
16.9%
e 15
 
6.8%
s 7
 
3.2%
a 7
 
3.2%
t 5
 
2.3%
r 5
 
2.3%
l 4
 
1.8%
o 3
 
1.4%
Other values (37) 61
27.9%

소재지(도로명)
Text

Distinct403
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T02:26:45.532067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length31.384798
Min length9

Characters and Unicode

Total characters13213
Distinct characters218
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique389 ?
Unique (%)92.4%

Sample

1st row부산광역시 북구 낙동대로1776번길 53 (구포동)
2nd row부산광역시 북구 낙동대로1762번가길 35 (구포동)
3rd row부산광역시 북구 구포시장4길 7-1 (구포동)
4th row부산광역시 북구 구포시장5길 14 (구포동)
5th row부산광역시 북구 만덕대로78번길 22 (덕천동)
ValueCountFrequency (%)
부산광역시 418
 
16.0%
북구 418
 
16.0%
1층 144
 
5.5%
구포동 140
 
5.3%
화명동 94
 
3.6%
만덕동 69
 
2.6%
덕천동 60
 
2.3%
금곡대로 46
 
1.8%
금곡동 41
 
1.6%
상가동 21
 
0.8%
Other values (535) 1168
44.6%
2023-12-11T02:26:46.358005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2198
 
16.6%
1 638
 
4.8%
구 602
 
4.6%
동 540
 
4.1%
시 496
 
3.8%
산 444
 
3.4%
부 436
 
3.3%
) 426
 
3.2%
( 426
 
3.2%
북 423
 
3.2%
Other values (208) 6584
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7571
57.3%
Space Separator 2198
 
16.6%
Decimal Number 2138
 
16.2%
Close Punctuation 426
 
3.2%
Open Punctuation 426
 
3.2%
Other Punctuation 356
 
2.7%
Dash Punctuation 49
 
0.4%
Uppercase Letter 41
 
0.3%
Math Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 602
 
8.0%
동 540
 
7.1%
시 496
 
6.6%
산 444
 
5.9%
부 436
 
5.8%
북 423
 
5.6%
광 419
 
5.5%
역 418
 
5.5%
로 381
 
5.0%
덕 228
 
3.0%
Other values (179) 3184
42.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
19.5%
A 7
17.1%
E 7
17.1%
P 3
 
7.3%
L 3
 
7.3%
R 3
 
7.3%
F 3
 
7.3%
C 3
 
7.3%
D 2
 
4.9%
G 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 638
29.8%
2 317
14.8%
0 212
 
9.9%
7 173
 
8.1%
4 169
 
7.9%
3 160
 
7.5%
6 136
 
6.4%
5 126
 
5.9%
8 118
 
5.5%
9 89
 
4.2%
Math Symbol
ValueCountFrequency (%)
< 3
37.5%
> 3
37.5%
~ 2
25.0%
Space Separator
ValueCountFrequency (%)
2198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 426
100.0%
Open Punctuation
ValueCountFrequency (%)
( 426
100.0%
Other Punctuation
ValueCountFrequency (%)
, 356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7570
57.3%
Common 5601
42.4%
Latin 41
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 602
 
8.0%
동 540
 
7.1%
시 496
 
6.6%
산 444
 
5.9%
부 436
 
5.8%
북 423
 
5.6%
광 419
 
5.5%
역 418
 
5.5%
로 381
 
5.0%
덕 228
 
3.0%
Other values (178) 3183
42.0%
Common
ValueCountFrequency (%)
2198
39.2%
1 638
 
11.4%
) 426
 
7.6%
( 426
 
7.6%
, 356
 
6.4%
2 317
 
5.7%
0 212
 
3.8%
7 173
 
3.1%
4 169
 
3.0%
3 160
 
2.9%
Other values (8) 526
 
9.4%
Latin
ValueCountFrequency (%)
B 8
19.5%
A 7
17.1%
E 7
17.1%
P 3
 
7.3%
L 3
 
7.3%
R 3
 
7.3%
F 3
 
7.3%
C 3
 
7.3%
D 2
 
4.9%
G 1
 
2.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7570
57.3%
ASCII 5642
42.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2198
39.0%
1 638
 
11.3%
) 426
 
7.6%
( 426
 
7.6%
, 356
 
6.3%
2 317
 
5.6%
0 212
 
3.8%
7 173
 
3.1%
4 169
 
3.0%
3 160
 
2.8%
Other values (19) 567
 
10.0%
Hangul
ValueCountFrequency (%)
구 602
 
8.0%
동 540
 
7.1%
시 496
 
6.6%
산 444
 
5.9%
부 436
 
5.8%
북 423
 
5.6%
광 419
 
5.5%
역 418
 
5.5%
로 381
 
5.0%
덕 228
 
3.0%
Other values (178) 3183
42.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지(지번)
Text

Distinct390
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T02:26:46.956006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length23.448931
Min length17

Characters and Unicode

Total characters9872
Distinct characters186
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)87.4%

Sample

1st row부산광역시 북구 구포동 609-6
2nd row부산광역시 북구 구포동 산 590-1
3rd row부산광역시 북구 구포동 589-77
4th row부산광역시 북구 구포동 592-4
5th row부산광역시 북구 덕천동 411-5
ValueCountFrequency (%)
부산광역시 421
21.0%
북구 421
21.0%
구포동 143
 
7.1%
화명동 104
 
5.2%
만덕동 70
 
3.5%
덕천동 60
 
3.0%
금곡동 44
 
2.2%
1층 24
 
1.2%
산 16
 
0.8%
1874-3 14
 
0.7%
Other values (507) 686
34.2%
2023-12-11T02:26:47.803594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1967
19.9%
구 565
 
5.7%
동 477
 
4.8%
1 467
 
4.7%
산 452
 
4.6%
부 430
 
4.4%
시 425
 
4.3%
광 422
 
4.3%
역 421
 
4.3%
북 421
 
4.3%
Other values (176) 3825
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5327
54.0%
Decimal Number 2184
22.1%
Space Separator 1967
 
19.9%
Dash Punctuation 363
 
3.7%
Uppercase Letter 12
 
0.1%
Close Punctuation 6
 
0.1%
Other Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 565
 
10.6%
동 477
 
9.0%
산 452
 
8.5%
부 430
 
8.1%
시 425
 
8.0%
광 422
 
7.9%
역 421
 
7.9%
북 421
 
7.9%
포 149
 
2.8%
덕 137
 
2.6%
Other values (155) 1428
26.8%
Decimal Number
ValueCountFrequency (%)
1 467
21.4%
2 303
13.9%
3 204
9.3%
9 192
8.8%
4 190
8.7%
8 180
 
8.2%
0 180
 
8.2%
7 168
 
7.7%
5 165
 
7.6%
6 135
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
58.3%
A 2
 
16.7%
D 1
 
8.3%
G 1
 
8.3%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5327
54.0%
Common 4533
45.9%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 565
 
10.6%
동 477
 
9.0%
산 452
 
8.5%
부 430
 
8.1%
시 425
 
8.0%
광 422
 
7.9%
역 421
 
7.9%
북 421
 
7.9%
포 149
 
2.8%
덕 137
 
2.6%
Other values (155) 1428
26.8%
Common
ValueCountFrequency (%)
1967
43.4%
1 467
 
10.3%
- 363
 
8.0%
2 303
 
6.7%
3 204
 
4.5%
9 192
 
4.2%
4 190
 
4.2%
8 180
 
4.0%
0 180
 
4.0%
7 168
 
3.7%
Other values (6) 319
 
7.0%
Latin
ValueCountFrequency (%)
B 7
58.3%
A 2
 
16.7%
D 1
 
8.3%
G 1
 
8.3%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5327
54.0%
ASCII 4545
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1967
43.3%
1 467
 
10.3%
- 363
 
8.0%
2 303
 
6.7%
3 204
 
4.5%
9 192
 
4.2%
4 190
 
4.2%
8 180
 
4.0%
0 180
 
4.0%
7 168
 
3.7%
Other values (11) 331
 
7.3%
Hangul
ValueCountFrequency (%)
구 565
 
10.6%
동 477
 
9.0%
산 452
 
8.5%
부 430
 
8.1%
시 425
 
8.0%
광 422
 
7.9%
역 421
 
7.9%
북 421
 
7.9%
포 149
 
2.8%
덕 137
 
2.6%
Other values (155) 1428
26.8%

소재지전화
Text

MISSING 

Distinct235
Distinct (%)98.7%
Missing183
Missing (%)43.5%
Memory size3.4 KiB
2023-12-11T02:26:48.231945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.504202
Min length1

Characters and Unicode

Total characters2976
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)97.5%

Sample

1st row051-332-4359
2nd row 051-332-0981
3rd row 051-333-7313
4th row051-332-9396
5th row 051-335-1552
ValueCountFrequency (%)
051-717-2950 2
 
0.8%
051-330-9000 2
 
0.8%
051-604-2500 2
 
0.8%
051-330-9127 1
 
0.4%
051-341-7716 1
 
0.4%
051-341-8855 1
 
0.4%
051-503-8807 1
 
0.4%
051-333-4732 1
 
0.4%
051-335-0102 1
 
0.4%
051-361-9284 1
 
0.4%
Other values (226) 226
94.6%
2023-12-11T02:26:48.880764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 488
16.4%
- 474
15.9%
1 373
12.5%
0 371
12.5%
5 369
12.4%
2 158
 
5.3%
4 139
 
4.7%
6 133
 
4.5%
7 132
 
4.4%
131
 
4.4%
Other values (3) 208
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2370
79.6%
Dash Punctuation 474
 
15.9%
Space Separator 131
 
4.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 488
20.6%
1 373
15.7%
0 371
15.7%
5 369
15.6%
2 158
 
6.7%
4 139
 
5.9%
6 133
 
5.6%
7 132
 
5.6%
8 121
 
5.1%
9 86
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2976
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 488
16.4%
- 474
15.9%
1 373
12.5%
0 371
12.5%
5 369
12.4%
2 158
 
5.3%
4 139
 
4.7%
6 133
 
4.5%
7 132
 
4.4%
131
 
4.4%
Other values (3) 208
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 488
16.4%
- 474
15.9%
1 373
12.5%
0 371
12.5%
5 369
12.4%
2 158
 
5.3%
4 139
 
4.7%
6 133
 
4.5%
7 132
 
4.4%
131
 
4.4%
Other values (3) 208
7.0%

Missing values

2023-12-11T02:26:43.407785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:26:43.576560image/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
0즉석판매제조가공업창녕상회부산광역시 북구 낙동대로1776번길 53 (구포동)부산광역시 북구 구포동 609-6051-332-4359
1즉석판매제조가공업구포떡방앗간부산광역시 북구 낙동대로1762번가길 35 (구포동)부산광역시 북구 구포동 산 590-1051-332-0981
2즉석판매제조가공업제일떡방앗간부산광역시 북구 구포시장4길 7-1 (구포동)부산광역시 북구 구포동 589-77051-333-7313
3즉석판매제조가공업밀양상회부산광역시 북구 구포시장5길 14 (구포동)부산광역시 북구 구포동 592-4051-332-9396
4즉석판매제조가공업우리상회부산광역시 북구 만덕대로78번길 22 (덕천동)부산광역시 북구 덕천동 411-5051-335-1552
5즉석판매제조가공업합천상회부산광역시 북구 구포시장5길 14 (구포동)부산광역시 북구 구포동 592-4051-332-3403
6즉석판매제조가공업우리상회부산광역시 북구 만덕1로 24 (만덕동)부산광역시 북구 만덕동 829-2051-332-9854
7즉석판매제조가공업대동제분소부산광역시 북구 만덕1로24번길 8 (만덕동)부산광역시 북구 만덕동 산 829051-332-3686
8즉석판매제조가공업경북상회부산광역시 북구 은행나무로 11, B동동 125호 (만덕동)부산광역시 북구 만덕동 848 B동동 125호051-334-9988
9즉석판매제조가공업대진제분소부산광역시 북구 기찰로 155 (덕천동)부산광역시 북구 덕천동 364-7051-335-1257
업종명업소명소재지(도로명)소재지(지번)소재지전화
411즉석판매제조가공업아눌레과자점부산광역시 북구 구포시장7길 17, 2층 일부호 (구포동)부산광역시 북구 구포동 592-19<NA>
412즉석판매제조가공업다예쁘다부산광역시 북구 화명신도시로69번길 20, 1층 (화명동)부산광역시 북구 화명동 2299-5<NA>
413즉석판매제조가공업미니멀베이커리부산광역시 북구 화명신도시로 73, 1층 (화명동)부산광역시 북구 화명동 2301-8<NA>
414즉석판매제조가공업메가마트 덕천점부산광역시 북구 기찰로 164 (덕천동)부산광역시 북구 덕천동 370<NA>
415즉석판매제조가공업장수식품부산광역시 북구 은행나무로 22-1 (만덕동)부산광역시 북구 만덕동 844-7<NA>
416즉석판매제조가공업주식회사 현승에프앤디부산광역시 북구 금곡대로 469, 농협하나로클럽 1층 (금곡동)부산광역시 북구 금곡동 1874-3 농협하나로클럽<NA>
417즉석판매제조가공업주식회사 이제이푸드부산광역시 북구 화명대로 47, 롯데마트 (화명동)부산광역시 북구 화명동 2273 롯데마트<NA>
418즉석판매제조가공업삼부자부산광역시 북구 백양대로 1156 (구포동)부산광역시 북구 구포동 661<NA>
419즉석판매제조가공업어스름달부산광역시 북구 모분재로 107, 1층 (구포동)부산광역시 북구 구포동 816-12<NA>
420즉석판매제조가공업진영태산양산삼(건강)부산광역시 북구 백양대로 1199-9, 2층 (구포동)부산광역시 북구 구포동 147-10<NA>