Overview

Dataset statistics

Number of variables6
Number of observations1200
Missing cells5
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.4 KiB
Average record size in memory48.1 B

Variable types

Text4
Categorical2

Dataset

Description부산광역시_서구_통신판매업_20230515
Author부산광역시 서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051968

Alerts

법인구분 is highly imbalanced (61.1%)Imbalance
판매방식 is highly imbalanced (83.1%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:11:28.901079
Analysis finished2023-12-10 17:11:30.191281
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct1200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-11T02:11:30.661467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0891667
Min length1

Characters and Unicode

Total characters3707
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1200 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
0.1%
804 1
 
0.1%
802 1
 
0.1%
801 1
 
0.1%
800 1
 
0.1%
799 1
 
0.1%
798 1
 
0.1%
797 1
 
0.1%
796 1
 
0.1%
795 1
 
0.1%
Other values (1190) 1190
99.2%
2023-12-11T02:11:31.425936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 638
17.2%
8 340
9.2%
4 340
9.2%
5 340
9.2%
6 340
9.2%
7 340
9.2%
2 340
9.2%
3 340
9.2%
9 338
9.1%
0 329
8.9%
Other values (13) 22
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3685
99.4%
Lowercase Letter 18
 
0.5%
Other Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3
16.7%
a 2
11.1%
n 2
11.1%
g 2
11.1%
c 2
11.1%
r 2
11.1%
t 1
 
5.6%
k 1
 
5.6%
v 1
 
5.6%
e 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 638
17.3%
8 340
9.2%
4 340
9.2%
5 340
9.2%
6 340
9.2%
7 340
9.2%
2 340
9.2%
3 340
9.2%
9 338
9.2%
0 329
8.9%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
@ 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3689
99.5%
Latin 18
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 638
17.3%
8 340
9.2%
4 340
9.2%
5 340
9.2%
6 340
9.2%
7 340
9.2%
2 340
9.2%
3 340
9.2%
9 338
9.2%
0 329
8.9%
Other values (2) 4
 
0.1%
Latin
ValueCountFrequency (%)
o 3
16.7%
a 2
11.1%
n 2
11.1%
g 2
11.1%
c 2
11.1%
r 2
11.1%
t 1
 
5.6%
k 1
 
5.6%
v 1
 
5.6%
e 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 638
17.2%
8 340
9.2%
4 340
9.2%
5 340
9.2%
6 340
9.2%
7 340
9.2%
2 340
9.2%
3 340
9.2%
9 338
9.1%
0 329
8.9%
Other values (13) 22
 
0.6%

법인또는상호
Text

Distinct1193
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-11T02:11:31.820989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length34
Mean length6.6158333
Min length1

Characters and Unicode

Total characters7939
Distinct characters665
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1186 ?
Unique (%)98.8%

Sample

1st row아르몰
2nd row하성
3rd row은하수
4th row예쁨더해
5th row㈜정필
ValueCountFrequency (%)
주식회사 75
 
5.1%
인셀덤 4
 
0.3%
global 3
 
0.2%
플라워 3
 
0.2%
주 3
 
0.2%
컴퍼니 3
 
0.2%
더 3
 
0.2%
ltd 3
 
0.2%
핸드메이드 2
 
0.1%
스튜디오 2
 
0.1%
Other values (1355) 1382
93.2%
2023-12-11T02:11:32.397191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
3.7%
이 238
 
3.0%
( 220
 
2.8%
) 218
 
2.7%
스 201
 
2.5%
주 169
 
2.1%
사 131
 
1.7%
드 126
 
1.6%
리 117
 
1.5%
회 105
 
1.3%
Other values (655) 6120
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5944
74.9%
Lowercase Letter 664
 
8.4%
Uppercase Letter 462
 
5.8%
Space Separator 294
 
3.7%
Open Punctuation 220
 
2.8%
Close Punctuation 218
 
2.7%
Decimal Number 75
 
0.9%
Other Punctuation 44
 
0.6%
Dash Punctuation 8
 
0.1%
Other Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 238
 
4.0%
스 201
 
3.4%
주 169
 
2.8%
사 131
 
2.2%
드 126
 
2.1%
리 117
 
2.0%
회 105
 
1.8%
에 92
 
1.5%
아 90
 
1.5%
식 88
 
1.5%
Other values (580) 4587
77.2%
Uppercase Letter
ValueCountFrequency (%)
O 38
 
8.2%
A 36
 
7.8%
L 34
 
7.4%
S 32
 
6.9%
T 30
 
6.5%
E 27
 
5.8%
I 26
 
5.6%
M 26
 
5.6%
N 23
 
5.0%
D 22
 
4.8%
Other values (15) 168
36.4%
Lowercase Letter
ValueCountFrequency (%)
o 75
 
11.3%
e 69
 
10.4%
a 52
 
7.8%
i 52
 
7.8%
n 50
 
7.5%
r 38
 
5.7%
l 38
 
5.7%
s 33
 
5.0%
t 32
 
4.8%
u 27
 
4.1%
Other values (14) 198
29.8%
Decimal Number
ValueCountFrequency (%)
1 18
24.0%
2 17
22.7%
0 10
13.3%
5 8
10.7%
4 8
10.7%
3 6
 
8.0%
9 3
 
4.0%
6 2
 
2.7%
7 2
 
2.7%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 28
63.6%
& 7
 
15.9%
/ 2
 
4.5%
: 2
 
4.5%
? 2
 
4.5%
# 1
 
2.3%
! 1
 
2.3%
' 1
 
2.3%
Other Symbol
ValueCountFrequency (%)
㈜ 4
57.1%
○ 2
28.6%
□ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5947
74.9%
Latin 1126
 
14.2%
Common 865
 
10.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 238
 
4.0%
스 201
 
3.4%
주 169
 
2.8%
사 131
 
2.2%
드 126
 
2.1%
리 117
 
2.0%
회 105
 
1.8%
에 92
 
1.5%
아 90
 
1.5%
식 88
 
1.5%
Other values (580) 4590
77.2%
Latin
ValueCountFrequency (%)
o 75
 
6.7%
e 69
 
6.1%
a 52
 
4.6%
i 52
 
4.6%
n 50
 
4.4%
r 38
 
3.4%
O 38
 
3.4%
l 38
 
3.4%
A 36
 
3.2%
L 34
 
3.0%
Other values (39) 644
57.2%
Common
ValueCountFrequency (%)
294
34.0%
( 220
25.4%
) 218
25.2%
. 28
 
3.2%
1 18
 
2.1%
2 17
 
2.0%
0 10
 
1.2%
5 8
 
0.9%
4 8
 
0.9%
- 8
 
0.9%
Other values (15) 36
 
4.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5943
74.9%
ASCII 1988
 
25.0%
None 4
 
0.1%
Geometric Shapes 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
 
14.8%
( 220
 
11.1%
) 218
 
11.0%
o 75
 
3.8%
e 69
 
3.5%
a 52
 
2.6%
i 52
 
2.6%
n 50
 
2.5%
r 38
 
1.9%
O 38
 
1.9%
Other values (62) 882
44.4%
Hangul
ValueCountFrequency (%)
이 238
 
4.0%
스 201
 
3.4%
주 169
 
2.8%
사 131
 
2.2%
드 126
 
2.1%
리 117
 
2.0%
회 105
 
1.8%
에 92
 
1.5%
아 90
 
1.5%
식 88
 
1.5%
Other values (579) 4586
77.2%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 2
66.7%
□ 1
33.3%
CJK
ValueCountFrequency (%)
愛 1
100.0%

법인구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
개인
1023 
법인
175 
-
 
2

Length

Max length2
Median length2
Mean length1.9983333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row법인

Common Values

ValueCountFrequency (%)
개인 1023
85.2%
법인 175
 
14.6%
- 2
 
0.2%

Length

2023-12-11T02:11:32.610930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:11:32.753823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 1023
85.2%
법인 175
 
14.6%
2
 
0.2%

소재지주소
Text

Distinct838
Distinct (%)69.9%
Missing2
Missing (%)0.2%
Memory size9.5 KiB
2023-12-11T02:11:33.138270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length35.580134
Min length8

Characters and Unicode

Total characters42625
Distinct characters132
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique661 ?
Unique (%)55.2%

Sample

1st row부산광역시 서구 옥천로 xxx (아미동2가)
2nd row부산광역시 서구 대영로 xx-x (동대신동2가)
3rd row부산광역시 서구 부용로 xx， xxx호 (서대신동1가， xxxxxxx)
4th row부산광역시 서구 송도해변로 xx， xxxx호 (암남동， xxxxxx)
5th row부산광역시 서구 원양로 xxx， xxxxx xxx호 (암남동)
ValueCountFrequency (%)
부산광역시 1192
 
15.1%
서구 1191
 
15.1%
xxx호 448
 
5.7%
xx， 380
 
4.8%
x층 289
 
3.7%
xxx， 238
 
3.0%
xx 211
 
2.7%
xxx동 173
 
2.2%
구덕로xxx번길 169
 
2.1%
xxxx 167
 
2.1%
Other values (308) 3444
43.6%
2023-12-11T02:11:33.782892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
x 11233
26.4%
6704
15.7%
동 1702
 
4.0%
부 1474
 
3.5%
서 1459
 
3.4%
구 1428
 
3.4%
， 1367
 
3.2%
시 1227
 
2.9%
산 1211
 
2.8%
광 1195
 
2.8%
Other values (122) 13625
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19797
46.4%
Lowercase Letter 11233
26.4%
Space Separator 6704
 
15.7%
Other Punctuation 1372
 
3.2%
Open Punctuation 1193
 
2.8%
Close Punctuation 1193
 
2.8%
Decimal Number 850
 
2.0%
Dash Punctuation 282
 
0.7%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1702
 
8.6%
부 1474
 
7.4%
서 1459
 
7.4%
구 1428
 
7.2%
시 1227
 
6.2%
산 1211
 
6.1%
광 1195
 
6.0%
역 1192
 
6.0%
로 1151
 
5.8%
대 826
 
4.2%
Other values (102) 6932
35.0%
Decimal Number
ValueCountFrequency (%)
3 268
31.5%
2 268
31.5%
1 249
29.3%
5 30
 
3.5%
4 13
 
1.5%
0 7
 
0.8%
8 7
 
0.8%
7 4
 
0.5%
6 2
 
0.2%
9 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
， 1367
99.6%
/ 2
 
0.1%
. 2
 
0.1%
, 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
x 11233
100.0%
Space Separator
ValueCountFrequency (%)
6704
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19797
46.4%
Common 11594
27.2%
Latin 11234
26.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1702
 
8.6%
부 1474
 
7.4%
서 1459
 
7.4%
구 1428
 
7.2%
시 1227
 
6.2%
산 1211
 
6.1%
광 1195
 
6.0%
역 1192
 
6.0%
로 1151
 
5.8%
대 826
 
4.2%
Other values (102) 6932
35.0%
Common
ValueCountFrequency (%)
6704
57.8%
， 1367
 
11.8%
( 1193
 
10.3%
) 1193
 
10.3%
- 282
 
2.4%
3 268
 
2.3%
2 268
 
2.3%
1 249
 
2.1%
5 30
 
0.3%
4 13
 
0.1%
Other values (8) 27
 
0.2%
Latin
ValueCountFrequency (%)
x 11233
> 99.9%
C 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21461
50.3%
Hangul 19797
46.4%
None 1367
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
x 11233
52.3%
6704
31.2%
( 1193
 
5.6%
) 1193
 
5.6%
- 282
 
1.3%
3 268
 
1.2%
2 268
 
1.2%
1 249
 
1.2%
5 30
 
0.1%
4 13
 
0.1%
Other values (9) 28
 
0.1%
Hangul
ValueCountFrequency (%)
동 1702
 
8.6%
부 1474
 
7.4%
서 1459
 
7.4%
구 1428
 
7.2%
시 1227
 
6.2%
산 1211
 
6.1%
광 1195
 
6.0%
역 1192
 
6.0%
로 1151
 
5.8%
대 826
 
4.2%
Other values (102) 6932
35.0%
None
ValueCountFrequency (%)
， 1367
100.0%

취급품목
Text

Distinct94
Distinct (%)7.9%
Missing3
Missing (%)0.2%
Memory size9.5 KiB
2023-12-11T02:11:34.065578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length76
Mean length7.6065163
Min length1

Characters and Unicode

Total characters9105
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)4.9%

Sample

1st row종합몰
2nd row의류/패션/잡화/뷰티 기타
3rd row종합몰 가구/수납용품
4th row의류/패션/잡화/뷰티
5th row건강/식품 기타
ValueCountFrequency (%)
종합몰 432
27.8%
의류/패션/잡화/뷰티 340
21.9%
기타 282
18.2%
건강/식품 247
15.9%
교육/도서/완구/오락 54
 
3.5%
가구/수납용품 43
 
2.8%
컴퓨터/사무용품 41
 
2.6%
레져/여행/공연 37
 
2.4%
가전 29
 
1.9%
자동차/자동차용품 26
 
1.7%
Other values (4) 22
 
1.4%
2023-12-11T02:11:34.568611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1624
 
17.8%
종 432
 
4.7%
몰 432
 
4.7%
합 432
 
4.7%
품 376
 
4.1%
356
 
3.9%
화 340
 
3.7%
뷰 340
 
3.7%
티 340
 
3.7%
잡 340
 
3.7%
Other values (42) 4093
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7123
78.2%
Other Punctuation 1624
 
17.8%
Space Separator 356
 
3.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 432
 
6.1%
몰 432
 
6.1%
합 432
 
6.1%
품 376
 
5.3%
화 340
 
4.8%
뷰 340
 
4.8%
티 340
 
4.8%
잡 340
 
4.8%
션 340
 
4.8%
패 340
 
4.8%
Other values (39) 3411
47.9%
Other Punctuation
ValueCountFrequency (%)
/ 1624
100.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7123
78.2%
Common 1982
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 432
 
6.1%
몰 432
 
6.1%
합 432
 
6.1%
품 376
 
5.3%
화 340
 
4.8%
뷰 340
 
4.8%
티 340
 
4.8%
잡 340
 
4.8%
션 340
 
4.8%
패 340
 
4.8%
Other values (39) 3411
47.9%
Common
ValueCountFrequency (%)
/ 1624
81.9%
356
 
18.0%
- 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7123
78.2%
ASCII 1982
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1624
81.9%
356
 
18.0%
- 2
 
0.1%
Hangul
ValueCountFrequency (%)
종 432
 
6.1%
몰 432
 
6.1%
합 432
 
6.1%
품 376
 
5.3%
화 340
 
4.8%
뷰 340
 
4.8%
티 340
 
4.8%
잡 340
 
4.8%
션 340
 
4.8%
패 340
 
4.8%
Other values (39) 3411
47.9%

판매방식
Categorical

IMBALANCE 

Distinct25
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
인터넷
1087 
인터넷 기타
 
36
인터넷 TV홈쇼핑
 
18
TV홈쇼핑 인터넷 카다로그 신문잡지 기타
 
6
TV홈쇼핑
 
6
Other values (20)
 
47

Length

Max length22
Median length3
Mean length3.6575
Min length2

Unique

Unique11 ?
Unique (%)0.9%

Sample

1st row인터넷
2nd row인터넷 기타
3rd row인터넷
4th row인터넷
5th row인터넷

Common Values

ValueCountFrequency (%)
인터넷 1087
90.6%
인터넷 기타 36
 
3.0%
인터넷 TV홈쇼핑 18
 
1.5%
TV홈쇼핑 인터넷 카다로그 신문잡지 기타 6
 
0.5%
TV홈쇼핑 6
 
0.5%
인터넷 카다로그 기타 6
 
0.5%
인터넷 TV홈쇼핑 카다로그 신문잡지 기타 6
 
0.5%
TV홈쇼핑 인터넷 5
 
0.4%
인터넷 TV홈쇼핑 기타 4
 
0.3%
인터넷 TV홈쇼핑 카다로그 3
 
0.2%
Other values (15) 23
 
1.9%

Length

2023-12-11T02:11:34.804116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 1186
86.5%
기타 69
 
5.0%
tv홈쇼핑 58
 
4.2%
카다로그 36
 
2.6%
신문잡지 19
 
1.4%
na 3
 
0.2%

Correlations

2023-12-11T02:11:34.931288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분취급품목판매방식
법인구분1.0000.4910.399
취급품목0.4911.0000.882
판매방식0.3990.8821.000
2023-12-11T02:11:35.049185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분판매방식
법인구분1.0000.314
판매방식0.3141.000
2023-12-11T02:11:35.236894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분판매방식
법인구분1.0000.314
판매방식0.3141.000

Missing values

2023-12-11T02:11:29.779098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:11:29.940576image/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.
2023-12-11T02:11:30.105530image/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

번호법인또는상호법인구분소재지주소취급품목판매방식
01아르몰개인부산광역시 서구 옥천로 xxx (아미동2가)종합몰인터넷
12하성개인부산광역시 서구 대영로 xx-x (동대신동2가)의류/패션/잡화/뷰티 기타인터넷 기타
23은하수개인부산광역시 서구 부용로 xx， xxx호 (서대신동1가， xxxxxxx)종합몰 가구/수납용품인터넷
34예쁨더해개인부산광역시 서구 송도해변로 xx， xxxx호 (암남동， xxxxxx)의류/패션/잡화/뷰티인터넷
45㈜정필법인부산광역시 서구 원양로 xxx， xxxxx xxx호 (암남동)건강/식품 기타인터넷
56언어로운개인부산광역시 서구 까치고개로 xxx-x(아미동2가)교육/도서/완구/오락인터넷
67팩킹 몰개인부산광역시 서구 시약로 xx (서대신동3가)종합몰인터넷
78주식회사 엘몹(LMOB Corp.)법인부산광역시 서구 구덕로xxx번길 xx， xxx호 (부민동1가)가구/수납용품인터넷
89다판다개인부산광역시 서구 충무대로 xx， xxxx호 (암남동， xxxx xx xx xx)종합몰 의류/패션/잡화/뷰티인터넷
910현 이커머스개인부산광역시 서구 감천로 xxx， x동 xxxx호 (암남동， xxxxxxxx)종합몰인터넷
번호법인또는상호법인구분소재지주소취급품목판매방식
11901189신도상사서부영업소개인동대신동3가xxx-x컴퓨터/사무용품인터넷
11911190주식회사 홍익화방법인부산광역시 서구 보수대로 xxx， x층 (동대신동3가)기타인터넷
11921191아로마 앤 바디개인부산광역시 서구 서대신동3가 xxx번지 x호 xxxxxxxx xxx동 xxx호의류/패션/잡화/뷰티인터넷
11931192생화당개인동대신2가 xxx-xx기타인터넷
11941193윈플라워개인부산광역시 서구 보수대로 xxx (부용동1가)기타인터넷
11951194safety25개인아미동2가x-x종합몰인터넷
11961195참손푸드㈜법인부산광역시 서구 원양로 xxx (암남동)건강/식품인터넷
11971196희창물산㈜법인부산광역시 서구 충무대로 xxx (남부민동)건강/식품 기타인터넷
11981197밀림북개인부산광역시 서구 구덕로xxx번길 xx-xx (아미동2가)교육/도서/완구/오락인터넷
11991198핀라인개인부산광역시 서구 구덕로xxx번길 xx-x (아미동1가)기타 교육/도서/완구/오락 레져/여행/공연인터넷