Overview

Dataset statistics

Number of variables5
Number of observations560
Missing cells430
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory40.2 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시 북구 관내에 있는 건강기능식품판매업소 현황에 관한 데이터로 업소명, 도로명주소, 지번주소, 전화번호 데이터를 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/3069430/fileData.do

Alerts

업종명 is highly imbalanced (92.6%)Imbalance
소재지전화 has 430 (76.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:14:52.666277
Analysis finished2023-12-12 18:14:53.603366
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
건강기능식품일반판매업
555 
건강기능식품유통전문판매업
 
5

Length

Max length13
Median length11
Mean length11.017857
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 555
99.1%
건강기능식품유통전문판매업 5
 
0.9%

Length

2023-12-13T03:14:53.723053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:14:53.873310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 555
99.1%
건강기능식품유통전문판매업 5
 
0.9%

업소명
Text

Distinct551
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-13T03:14:54.249086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length6.9428571
Min length2

Characters and Unicode

Total characters3888
Distinct characters499
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

Unique543 ?
Unique (%)97.0%

Sample

1st row아모레덕천특약점
2nd row(주)농협유통하나로클럽부산점
3rd row정관장화명점
4th row정관장만덕점
5th row정관장금곡점
ValueCountFrequency (%)
애터미 8
 
1.2%
주식회사 6
 
0.9%
세븐일레븐 5
 
0.8%
퍼스트홈파티스스튜디오 4
 
0.6%
에치와이 3
 
0.5%
store 3
 
0.5%
암웨이 2
 
0.3%
뉴질랜드 2
 
0.3%
주)농협홍삼 2
 
0.3%
롯데마트화명점 2
 
0.3%
Other values (606) 621
94.4%
2023-12-13T03:14:54.860233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 133
 
3.4%
이 116
 
3.0%
점 112
 
2.9%
99
 
2.5%
리 86
 
2.2%
) 64
 
1.6%
( 64
 
1.6%
트 51
 
1.3%
마 50
 
1.3%
명 50
 
1.3%
Other values (489) 3063
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3406
87.6%
Uppercase Letter 129
 
3.3%
Space Separator 99
 
2.5%
Lowercase Letter 81
 
2.1%
Close Punctuation 64
 
1.6%
Open Punctuation 64
 
1.6%
Decimal Number 38
 
1.0%
Other Punctuation 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 133
 
3.9%
이 116
 
3.4%
점 112
 
3.3%
리 86
 
2.5%
트 51
 
1.5%
마 50
 
1.5%
명 50
 
1.5%
화 50
 
1.5%
에 48
 
1.4%
부 44
 
1.3%
Other values (432) 2666
78.3%
Uppercase Letter
ValueCountFrequency (%)
S 16
12.4%
E 11
 
8.5%
N 10
 
7.8%
O 10
 
7.8%
M 9
 
7.0%
R 9
 
7.0%
G 7
 
5.4%
H 6
 
4.7%
T 6
 
4.7%
J 6
 
4.7%
Other values (12) 39
30.2%
Lowercase Letter
ValueCountFrequency (%)
o 10
12.3%
t 7
 
8.6%
e 7
 
8.6%
r 7
 
8.6%
s 6
 
7.4%
a 6
 
7.4%
c 5
 
6.2%
h 5
 
6.2%
n 5
 
6.2%
d 3
 
3.7%
Other values (10) 20
24.7%
Decimal Number
ValueCountFrequency (%)
2 16
42.1%
5 6
 
15.8%
1 6
 
15.8%
0 3
 
7.9%
9 2
 
5.3%
4 2
 
5.3%
3 2
 
5.3%
6 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 1
 
16.7%
, 1
 
16.7%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3404
87.6%
Common 272
 
7.0%
Latin 210
 
5.4%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 133
 
3.9%
이 116
 
3.4%
점 112
 
3.3%
리 86
 
2.5%
트 51
 
1.5%
마 50
 
1.5%
명 50
 
1.5%
화 50
 
1.5%
에 48
 
1.4%
부 44
 
1.3%
Other values (430) 2664
78.3%
Latin
ValueCountFrequency (%)
S 16
 
7.6%
E 11
 
5.2%
o 10
 
4.8%
N 10
 
4.8%
O 10
 
4.8%
M 9
 
4.3%
R 9
 
4.3%
t 7
 
3.3%
e 7
 
3.3%
G 7
 
3.3%
Other values (32) 114
54.3%
Common
ValueCountFrequency (%)
99
36.4%
) 64
23.5%
( 64
23.5%
2 16
 
5.9%
5 6
 
2.2%
1 6
 
2.2%
. 4
 
1.5%
0 3
 
1.1%
9 2
 
0.7%
4 2
 
0.7%
Other values (5) 6
 
2.2%
Han
ValueCountFrequency (%)
志 1
50.0%
昇 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3404
87.6%
ASCII 482
 
12.4%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 133
 
3.9%
이 116
 
3.4%
점 112
 
3.3%
리 86
 
2.5%
트 51
 
1.5%
마 50
 
1.5%
명 50
 
1.5%
화 50
 
1.5%
에 48
 
1.4%
부 44
 
1.3%
Other values (430) 2664
78.3%
ASCII
ValueCountFrequency (%)
99
20.5%
) 64
 
13.3%
( 64
 
13.3%
S 16
 
3.3%
2 16
 
3.3%
E 11
 
2.3%
o 10
 
2.1%
N 10
 
2.1%
O 10
 
2.1%
M 9
 
1.9%
Other values (47) 173
35.9%
CJK
ValueCountFrequency (%)
志 1
50.0%
昇 1
50.0%

소재지(도로명)
Text

Distinct512
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-13T03:14:55.156893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length36.95
Min length21

Characters and Unicode

Total characters20692
Distinct characters263
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

Unique490 ?
Unique (%)87.5%

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 560
 
14.0%
북구 560
 
14.0%
화명동 160
 
4.0%
만덕동 134
 
3.4%
구포동 119
 
3.0%
덕천동 98
 
2.5%
1층 74
 
1.9%
금곡대로 61
 
1.5%
2층 49
 
1.2%
만덕1로 49
 
1.2%
Other values (804) 2127
53.3%
2023-12-13T03:14:55.563499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3432
 
16.6%
1 983
 
4.8%
동 837
 
4.0%
, 772
 
3.7%
구 703
 
3.4%
시 660
 
3.2%
0 657
 
3.2%
산 604
 
2.9%
부 577
 
2.8%
2 571
 
2.8%
Other values (253) 10896
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11322
54.7%
Decimal Number 3956
 
19.1%
Space Separator 3432
 
16.6%
Other Punctuation 776
 
3.8%
Open Punctuation 566
 
2.7%
Close Punctuation 566
 
2.7%
Dash Punctuation 51
 
0.2%
Uppercase Letter 22
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 837
 
7.4%
구 703
 
6.2%
시 660
 
5.8%
산 604
 
5.3%
부 577
 
5.1%
북 564
 
5.0%
역 564
 
5.0%
광 562
 
5.0%
로 556
 
4.9%
덕 435
 
3.8%
Other values (225) 5260
46.5%
Decimal Number
ValueCountFrequency (%)
1 983
24.8%
0 657
16.6%
2 571
14.4%
3 398
10.1%
5 315
 
8.0%
4 285
 
7.2%
6 236
 
6.0%
7 212
 
5.4%
8 161
 
4.1%
9 138
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
27.3%
D 5
22.7%
B 4
18.2%
K 2
 
9.1%
G 2
 
9.1%
E 1
 
4.5%
T 1
 
4.5%
J 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 772
99.5%
& 1
 
0.1%
@ 1
 
0.1%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11322
54.7%
Common 9348
45.2%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 837
 
7.4%
구 703
 
6.2%
시 660
 
5.8%
산 604
 
5.3%
부 577
 
5.1%
북 564
 
5.0%
역 564
 
5.0%
광 562
 
5.0%
로 556
 
4.9%
덕 435
 
3.8%
Other values (225) 5260
46.5%
Common
ValueCountFrequency (%)
3432
36.7%
1 983
 
10.5%
, 772
 
8.3%
0 657
 
7.0%
2 571
 
6.1%
( 566
 
6.1%
) 566
 
6.1%
3 398
 
4.3%
5 315
 
3.4%
4 285
 
3.0%
Other values (10) 803
 
8.6%
Latin
ValueCountFrequency (%)
A 6
27.3%
D 5
22.7%
B 4
18.2%
K 2
 
9.1%
G 2
 
9.1%
E 1
 
4.5%
T 1
 
4.5%
J 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11322
54.7%
ASCII 9370
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3432
36.6%
1 983
 
10.5%
, 772
 
8.2%
0 657
 
7.0%
2 571
 
6.1%
( 566
 
6.0%
) 566
 
6.0%
3 398
 
4.2%
5 315
 
3.4%
4 285
 
3.0%
Other values (18) 825
 
8.8%
Hangul
ValueCountFrequency (%)
동 837
 
7.4%
구 703
 
6.2%
시 660
 
5.8%
산 604
 
5.3%
부 577
 
5.1%
북 564
 
5.0%
역 564
 
5.0%
광 562
 
5.0%
로 556
 
4.9%
덕 435
 
3.8%
Other values (225) 5260
46.5%

소재지(지번)
Text

Distinct399
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-13T03:14:55.876298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length24.655357
Min length17

Characters and Unicode

Total characters13807
Distinct characters240
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

Unique337 ?
Unique (%)60.2%

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 560
20.6%
북구 560
20.6%
화명동 162
 
5.9%
만덕동 134
 
4.9%
구포동 122
 
4.5%
덕천동 103
 
3.8%
금곡동 41
 
1.5%
642-59 39
 
1.4%
2324 12
 
0.4%
롯데캐슬카이저 11
 
0.4%
Other values (626) 979
36.0%
2023-12-13T03:14:56.388623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2677
19.4%
구 693
 
5.0%
동 635
 
4.6%
산 593
 
4.3%
시 578
 
4.2%
부 570
 
4.1%
역 564
 
4.1%
광 562
 
4.1%
북 560
 
4.1%
2 515
 
3.7%
Other values (230) 5860
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7924
57.4%
Decimal Number 2770
 
20.1%
Space Separator 2677
 
19.4%
Dash Punctuation 404
 
2.9%
Other Punctuation 12
 
0.1%
Uppercase Letter 10
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 693
 
8.7%
동 635
 
8.0%
산 593
 
7.5%
시 578
 
7.3%
부 570
 
7.2%
역 564
 
7.1%
광 562
 
7.1%
북 560
 
7.1%
덕 262
 
3.3%
명 202
 
2.5%
Other values (204) 2705
34.1%
Decimal Number
ValueCountFrequency (%)
2 515
18.6%
1 504
18.2%
3 272
9.8%
4 251
9.1%
0 241
8.7%
7 219
7.9%
9 215
7.8%
6 205
 
7.4%
5 188
 
6.8%
8 160
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
G 2
20.0%
J 1
10.0%
D 1
10.0%
K 1
10.0%
E 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
. 1
 
8.3%
@ 1
 
8.3%
/ 1
 
8.3%
& 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7924
57.4%
Common 5873
42.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 693
 
8.7%
동 635
 
8.0%
산 593
 
7.5%
시 578
 
7.3%
부 570
 
7.2%
역 564
 
7.1%
광 562
 
7.1%
북 560
 
7.1%
덕 262
 
3.3%
명 202
 
2.5%
Other values (204) 2705
34.1%
Common
ValueCountFrequency (%)
2677
45.6%
2 515
 
8.8%
1 504
 
8.6%
- 404
 
6.9%
3 272
 
4.6%
4 251
 
4.3%
0 241
 
4.1%
7 219
 
3.7%
9 215
 
3.7%
6 205
 
3.5%
Other values (9) 370
 
6.3%
Latin
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
G 2
20.0%
J 1
10.0%
D 1
10.0%
K 1
10.0%
E 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7924
57.4%
ASCII 5883
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2677
45.5%
2 515
 
8.8%
1 504
 
8.6%
- 404
 
6.9%
3 272
 
4.6%
4 251
 
4.3%
0 241
 
4.1%
7 219
 
3.7%
9 215
 
3.7%
6 205
 
3.5%
Other values (16) 380
 
6.5%
Hangul
ValueCountFrequency (%)
구 693
 
8.7%
동 635
 
8.0%
산 593
 
7.5%
시 578
 
7.3%
부 570
 
7.2%
역 564
 
7.1%
광 562
 
7.1%
북 560
 
7.1%
덕 262
 
3.3%
명 202
 
2.5%
Other values (204) 2705
34.1%

소재지전화
Text

MISSING 

Distinct128
Distinct (%)98.5%
Missing430
Missing (%)76.8%
Memory size4.5 KiB
2023-12-13T03:14:56.648795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.238462
Min length12

Characters and Unicode

Total characters1591
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

Unique126 ?
Unique (%)96.9%

Sample

1st row051-333-8030
2nd row051-330-9000
3rd row051-332-2304
4th row051-336-1304
5th row051-364-2304
ValueCountFrequency (%)
02-2144-7000 2
 
1.5%
051-341-8959 2
 
1.5%
051-291-4000 1
 
0.8%
02-3449-6000 1
 
0.8%
051-364-5050 1
 
0.8%
051-342-7585 1
 
0.8%
051-332-0984 1
 
0.8%
051-361-8275 1
 
0.8%
051-343-0509 1
 
0.8%
051-803-6888 1
 
0.8%
Other values (118) 118
90.8%
2023-12-13T03:14:57.032658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 260
16.3%
0 234
14.7%
3 228
14.3%
1 206
12.9%
5 187
11.8%
6 93
 
5.8%
2 87
 
5.5%
4 86
 
5.4%
8 65
 
4.1%
7 62
 
3.9%
Other values (2) 83
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1300
81.7%
Dash Punctuation 260
 
16.3%
Space Separator 31
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 234
18.0%
3 228
17.5%
1 206
15.8%
5 187
14.4%
6 93
 
7.2%
2 87
 
6.7%
4 86
 
6.6%
8 65
 
5.0%
7 62
 
4.8%
9 52
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 260
16.3%
0 234
14.7%
3 228
14.3%
1 206
12.9%
5 187
11.8%
6 93
 
5.8%
2 87
 
5.5%
4 86
 
5.4%
8 65
 
4.1%
7 62
 
3.9%
Other values (2) 83
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 260
16.3%
0 234
14.7%
3 228
14.3%
1 206
12.9%
5 187
11.8%
6 93
 
5.8%
2 87
 
5.5%
4 86
 
5.4%
8 65
 
4.1%
7 62
 
3.9%
Other values (2) 83
 
5.2%

Missing values

2023-12-13T03:14:53.398626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:14:53.550616image/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
550건강기능식품일반판매업서언니부산광역시 북구 덕천로276번길 5, 3동 203호 (만덕동, 동원맨션)부산광역시 북구 만덕동 839-1 동원맨션<NA>
551건강기능식품일반판매업토니모리 덕천점부산광역시 북구 만덕대로 지하 39, 덕천지하상가 B5호 (덕천동)부산광역시 북구 덕천동 327 덕천지하상가051-332-2900
552건강기능식품일반판매업푸른새싹부산광역시 북구 만덕1로 82, 103동 1103호 (만덕동, 협성파크)부산광역시 북구 만덕동 670-1 협성파크<NA>
553건강기능식품일반판매업웰웰부산광역시 북구 산성로 88, 109동 401호 (화명동, 그린숲속아파트)부산광역시 북구 화명동 512 그린숲속아파트<NA>
554건강기능식품일반판매업리얼클린족욕부산광역시 북구 백양대로1036번길 6, 1층 (구포동)부산광역시 북구 구포동 915-30<NA>
555건강기능식품유통전문판매업에바다부산광역시 북구 의성로121번길 29 (덕천동,신우베스트빌 301호)부산광역시 북구 덕천동 419-9 신우베스트빌 301호<NA>
556건강기능식품유통전문판매업부성바이오부산광역시 북구 낙동대로1780번길 73, 5층 (구포동)부산광역시 북구 구포동 612-1 외 4필지 5층051-341-8959
557건강기능식품유통전문판매업오만디부산광역시 북구 만덕1로104번길 40, 덕천2지구도개공아파트 상가가동 2층 201호 (덕천동)부산광역시 북구 덕천동 814-9 덕천2지구도개공아파트<NA>
558건강기능식품유통전문판매업주식회사 에이앤원부산광역시 북구 만덕3로 27, 2층 (만덕동)부산광역시 북구 만덕동 766<NA>
559건강기능식품유통전문판매업(주)참좋다부산광역시 북구 구포시장1길 15, 2층 (구포동)부산광역시 북구 구포동 599-1<NA>