Overview

Dataset statistics

Number of variables5
Number of observations539
Missing cells394
Missing cells (%)14.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.2 KiB
Average record size in memory40.2 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시북구_건강기능식품판매업현황_20221027
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3069430

Alerts

업종명 is highly imbalanced (92.4%)Imbalance
소재지전화 has 394 (73.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:21:12.876546
Analysis finished2023-12-10 17:21:14.425809
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
건강기능식품일반판매업
534 
건강기능식품유통전문판매업
 
5

Length

Max length13
Median length11
Mean length11.018553
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 534
99.1%
건강기능식품유통전문판매업 5
 
0.9%

Length

2023-12-11T02:21:14.657911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:21:14.959154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 534
99.1%
건강기능식품유통전문판매업 5
 
0.9%

업소명
Text

Distinct530
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T02:21:15.610028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length6.8534323
Min length1

Characters and Unicode

Total characters3694
Distinct characters484
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

Unique522 ?
Unique (%)96.8%

Sample

1st row아모레덕천특약점
2nd row(주)농협유통하나로클럽부산점
3rd row정관장화명점
4th row정관장만덕점
5th row정관장금곡점
ValueCountFrequency (%)
주식회사 6
 
1.0%
애터미 5
 
0.8%
세븐일레븐 5
 
0.8%
퍼스트홈파티스스튜디오 4
 
0.6%
비엠헬스케어 2
 
0.3%
오혜숙생활단식 2
 
0.3%
롯데마트화명점 2
 
0.3%
화명점 2
 
0.3%
쓰리에이치 2
 
0.3%
구포시장점 2
 
0.3%
Other values (580) 591
94.9%
2023-12-11T02:21:16.750443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 124
 
3.4%
이 108
 
2.9%
점 107
 
2.9%
85
 
2.3%
리 79
 
2.1%
) 67
 
1.8%
( 67
 
1.8%
에 52
 
1.4%
지 51
 
1.4%
화 48
 
1.3%
Other values (474) 2906
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3284
88.9%
Uppercase Letter 94
 
2.5%
Space Separator 85
 
2.3%
Close Punctuation 67
 
1.8%
Open Punctuation 67
 
1.8%
Lowercase Letter 54
 
1.5%
Decimal Number 34
 
0.9%
Other Punctuation 8
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 124
 
3.8%
이 108
 
3.3%
점 107
 
3.3%
리 79
 
2.4%
에 52
 
1.6%
지 51
 
1.6%
화 48
 
1.5%
명 46
 
1.4%
트 46
 
1.4%
부 45
 
1.4%
Other values (418) 2578
78.5%
Uppercase Letter
ValueCountFrequency (%)
S 16
17.0%
N 9
 
9.6%
G 8
 
8.5%
E 7
 
7.4%
R 6
 
6.4%
O 5
 
5.3%
C 5
 
5.3%
M 5
 
5.3%
H 4
 
4.3%
K 4
 
4.3%
Other values (13) 25
26.6%
Lowercase Letter
ValueCountFrequency (%)
o 7
13.0%
a 7
13.0%
n 4
 
7.4%
e 4
 
7.4%
i 4
 
7.4%
h 4
 
7.4%
c 3
 
5.6%
t 3
 
5.6%
d 3
 
5.6%
u 2
 
3.7%
Other values (9) 13
24.1%
Decimal Number
ValueCountFrequency (%)
2 15
44.1%
5 8
23.5%
1 3
 
8.8%
0 3
 
8.8%
9 2
 
5.9%
4 2
 
5.9%
8 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
& 3
37.5%
, 1
 
12.5%
Space Separator
ValueCountFrequency (%)
85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3284
88.9%
Common 262
 
7.1%
Latin 148
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 124
 
3.8%
이 108
 
3.3%
점 107
 
3.3%
리 79
 
2.4%
에 52
 
1.6%
지 51
 
1.6%
화 48
 
1.5%
명 46
 
1.4%
트 46
 
1.4%
부 45
 
1.4%
Other values (418) 2578
78.5%
Latin
ValueCountFrequency (%)
S 16
 
10.8%
N 9
 
6.1%
G 8
 
5.4%
o 7
 
4.7%
a 7
 
4.7%
E 7
 
4.7%
R 6
 
4.1%
O 5
 
3.4%
C 5
 
3.4%
M 5
 
3.4%
Other values (32) 73
49.3%
Common
ValueCountFrequency (%)
85
32.4%
) 67
25.6%
( 67
25.6%
2 15
 
5.7%
5 8
 
3.1%
. 4
 
1.5%
1 3
 
1.1%
& 3
 
1.1%
0 3
 
1.1%
9 2
 
0.8%
Other values (4) 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3284
88.9%
ASCII 410
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 124
 
3.8%
이 108
 
3.3%
점 107
 
3.3%
리 79
 
2.4%
에 52
 
1.6%
지 51
 
1.6%
화 48
 
1.5%
명 46
 
1.4%
트 46
 
1.4%
부 45
 
1.4%
Other values (418) 2578
78.5%
ASCII
ValueCountFrequency (%)
85
20.7%
) 67
16.3%
( 67
16.3%
S 16
 
3.9%
2 15
 
3.7%
N 9
 
2.2%
G 8
 
2.0%
5 8
 
2.0%
o 7
 
1.7%
a 7
 
1.7%
Other values (46) 121
29.5%

소재지(도로명)
Text

Distinct491
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T02:21:17.352756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length48
Mean length36.562152
Min length21

Characters and Unicode

Total characters19707
Distinct characters262
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

Unique473 ?
Unique (%)87.8%

Sample

1st row부산광역시 북구 만덕대로 35 (덕천동)
2nd row부산광역시 북구 금곡대로 469 (금곡동)
3rd row부산광역시 북구 화명신도시로 129, 1층 102호 (화명동, 골든프라자)
4th row부산광역시 북구 덕천로 280, 상가7동 107호 (만덕동, 동원맨션)
5th row부산광역시 북구 금곡대로 432 (금곡동)
ValueCountFrequency (%)
부산광역시 539
 
14.1%
북구 539
 
14.1%
화명동 147
 
3.9%
만덕동 138
 
3.6%
구포동 104
 
2.7%
덕천동 97
 
2.5%
1층 75
 
2.0%
금곡대로 58
 
1.5%
만덕1로 57
 
1.5%
53 54
 
1.4%
Other values (777) 2003
52.6%
2023-12-11T02:21:18.458739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3273
 
16.6%
1 937
 
4.8%
동 802
 
4.1%
, 723
 
3.7%
구 668
 
3.4%
시 630
 
3.2%
0 593
 
3.0%
산 575
 
2.9%
부 557
 
2.8%
( 547
 
2.8%
Other values (252) 10402
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10817
54.9%
Decimal Number 3726
 
18.9%
Space Separator 3273
 
16.6%
Other Punctuation 726
 
3.7%
Open Punctuation 547
 
2.8%
Close Punctuation 547
 
2.8%
Dash Punctuation 47
 
0.2%
Uppercase Letter 23
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 802
 
7.4%
구 668
 
6.2%
시 630
 
5.8%
산 575
 
5.3%
부 557
 
5.1%
북 544
 
5.0%
역 544
 
5.0%
광 541
 
5.0%
로 535
 
4.9%
덕 437
 
4.0%
Other values (225) 4984
46.1%
Decimal Number
ValueCountFrequency (%)
1 937
25.1%
0 593
15.9%
2 532
14.3%
3 381
10.2%
5 324
 
8.7%
4 279
 
7.5%
6 220
 
5.9%
7 201
 
5.4%
8 138
 
3.7%
9 121
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
26.1%
B 6
26.1%
D 5
21.7%
K 2
 
8.7%
F 1
 
4.3%
G 1
 
4.3%
T 1
 
4.3%
E 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 723
99.6%
/ 1
 
0.1%
& 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10817
54.9%
Common 8867
45.0%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 802
 
7.4%
구 668
 
6.2%
시 630
 
5.8%
산 575
 
5.3%
부 557
 
5.1%
북 544
 
5.0%
역 544
 
5.0%
광 541
 
5.0%
로 535
 
4.9%
덕 437
 
4.0%
Other values (225) 4984
46.1%
Common
ValueCountFrequency (%)
3273
36.9%
1 937
 
10.6%
, 723
 
8.2%
0 593
 
6.7%
( 547
 
6.2%
) 547
 
6.2%
2 532
 
6.0%
3 381
 
4.3%
5 324
 
3.7%
4 279
 
3.1%
Other values (9) 731
 
8.2%
Latin
ValueCountFrequency (%)
A 6
26.1%
B 6
26.1%
D 5
21.7%
K 2
 
8.7%
F 1
 
4.3%
G 1
 
4.3%
T 1
 
4.3%
E 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10817
54.9%
ASCII 8890
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3273
36.8%
1 937
 
10.5%
, 723
 
8.1%
0 593
 
6.7%
( 547
 
6.2%
) 547
 
6.2%
2 532
 
6.0%
3 381
 
4.3%
5 324
 
3.6%
4 279
 
3.1%
Other values (17) 754
 
8.5%
Hangul
ValueCountFrequency (%)
동 802
 
7.4%
구 668
 
6.2%
시 630
 
5.8%
산 575
 
5.3%
부 557
 
5.1%
북 544
 
5.0%
역 544
 
5.0%
광 541
 
5.0%
로 535
 
4.9%
덕 437
 
4.0%
Other values (225) 4984
46.1%

소재지(지번)
Text

Distinct411
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T02:21:19.056757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length24.80705
Min length17

Characters and Unicode

Total characters13371
Distinct characters234
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

Unique364 ?
Unique (%)67.5%

Sample

1st row부산광역시 북구 덕천동 382-7
2nd row부산광역시 북구 금곡동 1874-3
3rd row부산광역시 북구 화명동 2271-3 골든프라자 102호
4th row부산광역시 북구 만덕동 839-1 동원맨션 상가7동 107호
5th row부산광역시 북구 금곡동 1224-2
ValueCountFrequency (%)
부산광역시 539
20.4%
북구 539
20.4%
화명동 150
 
5.7%
만덕동 138
 
5.2%
구포동 107
 
4.1%
덕천동 102
 
3.9%
642-59 47
 
1.8%
금곡동 44
 
1.7%
2324 12
 
0.5%
롯데캐슬카이저 11
 
0.4%
Other values (625) 951
36.0%
2023-12-11T02:21:20.021788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2578
19.3%
구 657
 
4.9%
동 629
 
4.7%
산 566
 
4.2%
시 553
 
4.1%
부 547
 
4.1%
역 544
 
4.1%
광 541
 
4.0%
북 539
 
4.0%
2 517
 
3.9%
Other values (224) 5700
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7571
56.6%
Decimal Number 2797
 
20.9%
Space Separator 2578
 
19.3%
Dash Punctuation 393
 
2.9%
Other Punctuation 13
 
0.1%
Uppercase Letter 9
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 657
 
8.7%
동 629
 
8.3%
산 566
 
7.5%
시 553
 
7.3%
부 547
 
7.2%
역 544
 
7.2%
광 541
 
7.1%
북 539
 
7.1%
덕 262
 
3.5%
화 188
 
2.5%
Other values (200) 2545
33.6%
Decimal Number
ValueCountFrequency (%)
2 517
18.5%
1 508
18.2%
3 286
10.2%
0 256
9.2%
4 252
9.0%
9 227
8.1%
7 202
 
7.2%
6 201
 
7.2%
5 185
 
6.6%
8 163
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
E 1
 
11.1%
D 1
 
11.1%
G 1
 
11.1%
K 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 1
 
7.7%
@ 1
 
7.7%
& 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2578
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7571
56.6%
Common 5791
43.3%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 657
 
8.7%
동 629
 
8.3%
산 566
 
7.5%
시 553
 
7.3%
부 547
 
7.2%
역 544
 
7.2%
광 541
 
7.1%
북 539
 
7.1%
덕 262
 
3.5%
화 188
 
2.5%
Other values (200) 2545
33.6%
Common
ValueCountFrequency (%)
2578
44.5%
2 517
 
8.9%
1 508
 
8.8%
- 393
 
6.8%
3 286
 
4.9%
0 256
 
4.4%
4 252
 
4.4%
9 227
 
3.9%
7 202
 
3.5%
6 201
 
3.5%
Other values (8) 371
 
6.4%
Latin
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
E 1
 
11.1%
D 1
 
11.1%
G 1
 
11.1%
K 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7571
56.6%
ASCII 5800
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2578
44.4%
2 517
 
8.9%
1 508
 
8.8%
- 393
 
6.8%
3 286
 
4.9%
0 256
 
4.4%
4 252
 
4.3%
9 227
 
3.9%
7 202
 
3.5%
6 201
 
3.5%
Other values (14) 380
 
6.6%
Hangul
ValueCountFrequency (%)
구 657
 
8.7%
동 629
 
8.3%
산 566
 
7.5%
시 553
 
7.3%
부 547
 
7.2%
역 544
 
7.2%
광 541
 
7.1%
북 539
 
7.1%
덕 262
 
3.5%
화 188
 
2.5%
Other values (200) 2545
33.6%

소재지전화
Text

MISSING 

Distinct143
Distinct (%)98.6%
Missing394
Missing (%)73.1%
Memory size4.3 KiB
2023-12-11T02:21:20.626350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.510345
Min length12

Characters and Unicode

Total characters1814
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)97.2%

Sample

1st row 051-333-8030
2nd row051-330-9000
3rd row051-332-2304
4th row051-336-1304
5th row051-364-2304
ValueCountFrequency (%)
02-2144-7000 2
 
1.3%
051-341-8959 2
 
1.3%
051-363-2222 1
 
0.7%
051-332-2004 1
 
0.7%
051-803-6888 1
 
0.7%
070-8019-0813 1
 
0.7%
051-332-0984 1
 
0.7%
051-361-8275 1
 
0.7%
070-5130-5257 1
 
0.7%
051-717-0523 1
 
0.7%
Other values (137) 137
91.9%
2023-12-11T02:21:21.593225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 290
16.0%
0 273
15.0%
3 249
13.7%
1 232
12.8%
5 204
11.2%
6 104
 
5.7%
4 91
 
5.0%
2 89
 
4.9%
7 80
 
4.4%
8 78
 
4.3%
Other values (2) 124
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1460
80.5%
Dash Punctuation 290
 
16.0%
Space Separator 64
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 273
18.7%
3 249
17.1%
1 232
15.9%
5 204
14.0%
6 104
 
7.1%
4 91
 
6.2%
2 89
 
6.1%
7 80
 
5.5%
8 78
 
5.3%
9 60
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 290
16.0%
0 273
15.0%
3 249
13.7%
1 232
12.8%
5 204
11.2%
6 104
 
5.7%
4 91
 
5.0%
2 89
 
4.9%
7 80
 
4.4%
8 78
 
4.3%
Other values (2) 124
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 290
16.0%
0 273
15.0%
3 249
13.7%
1 232
12.8%
5 204
11.2%
6 104
 
5.7%
4 91
 
5.0%
2 89
 
4.9%
7 80
 
4.4%
8 78
 
4.3%
Other values (2) 124
6.8%

Missing values

2023-12-11T02:21:14.046310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:21:14.311620image/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
0건강기능식품일반판매업아모레덕천특약점부산광역시 북구 만덕대로 35 (덕천동)부산광역시 북구 덕천동 382-7051-333-8030
1건강기능식품일반판매업(주)농협유통하나로클럽부산점부산광역시 북구 금곡대로 469 (금곡동)부산광역시 북구 금곡동 1874-3051-330-9000
2건강기능식품일반판매업정관장화명점부산광역시 북구 화명신도시로 129, 1층 102호 (화명동, 골든프라자)부산광역시 북구 화명동 2271-3 골든프라자 102호051-332-2304
3건강기능식품일반판매업정관장만덕점부산광역시 북구 덕천로 280, 상가7동 107호 (만덕동, 동원맨션)부산광역시 북구 만덕동 839-1 동원맨션 상가7동 107호051-336-1304
4건강기능식품일반판매업정관장금곡점부산광역시 북구 금곡대로 432 (금곡동)부산광역시 북구 금곡동 1224-2051-364-2304
5건강기능식품일반판매업부산제통마취과의원부산광역시 북구 백양대로 1204 (덕천동)부산광역시 북구 덕천동 400-1<NA>
6건강기능식품일반판매업마임화명지사부산광역시 북구 금곡대로 316-1 (화명동)부산광역시 북구 화명동 1414-6<NA>
7건강기능식품일반판매업화명웰빙하우스부산광역시 북구 화명신도시로 120 (화명동)부산광역시 북구 화명동 2276-1<NA>
8건강기능식품일반판매업(주)서원유통탑마트화명점부산광역시 북구 금곡대로 270 (화명동)부산광역시 북구 화명동 1170<NA>
9건강기능식품일반판매업정관장홍삼덕천본점부산광역시 북구 만덕대로 47 (덕천동)부산광역시 북구 덕천동 381-4051-337-1777
업종명업소명소재지(도로명)소재지(지번)소재지전화
529건강기능식품일반판매업헤스티아부산광역시 북구 화명대로94번길 45, 103동 904호 (화명동, 화명그린힐아파트)부산광역시 북구 화명동 754 화명그린힐아파트<NA>
530건강기능식품일반판매업그린미소부산광역시 북구 백양대로 1116, 2층 (구포동)부산광역시 북구 구포동 1008-12<NA>
531건강기능식품일반판매업시트론(CITRON)부산광역시 북구 화명신도시로 100, 211동 1905호 (화명동, 코오롱하늘채2차아파트)부산광역시 북구 화명동 2288 코오롱하늘채2차아파트<NA>
532건강기능식품일반판매업유니콩데이부산광역시 북구 화명신도시로 156, 102동 103호 (화명동, 롯데아파트낙천대)부산광역시 북구 화명동 2264 롯데아파트낙천대<NA>
533건강기능식품일반판매업제이에이엠부산광역시 북구 화명신도시로 70, 104동 606호 (화명동, 코오롱하늘채1차아파트)부산광역시 북구 화명동 2290 코오롱하늘채1차아파트<NA>
534건강기능식품유통전문판매업에바다부산광역시 북구 의성로121번길 29 (덕천동,신우베스트빌 301호)부산광역시 북구 덕천동 419-9 신우베스트빌 301호<NA>
535건강기능식품유통전문판매업부성바이오부산광역시 북구 낙동대로1780번길 73, 5층 (구포동)부산광역시 북구 구포동 612-1 외 4필지 5층051-341-8959
536건강기능식품유통전문판매업오만디부산광역시 북구 만덕1로104번길 40, 덕천2지구도개공아파트 상가가동 2층 201호 (덕천동)부산광역시 북구 덕천동 814-9 덕천2지구도개공아파트<NA>
537건강기능식품유통전문판매업주식회사 에이앤원부산광역시 북구 만덕3로 27, 2층 (만덕동)부산광역시 북구 만덕동 766<NA>
538건강기능식품유통전문판매업주식회사 분홍하늘부산광역시 북구 만덕1로 53, 1(일부)층 (만덕동)부산광역시 북구 만덕동 642-59<NA>