Overview

Dataset statistics

Number of variables4
Number of observations3888
Missing cells9
Missing cells (%)0.1%
Duplicate rows10
Duplicate rows (%)0.3%
Total size in memory121.6 KiB
Average record size in memory32.0 B

Variable types

Text4

Dataset

Description부산광역시남구_통신판매업현황_20200529
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022679

Alerts

Dataset has 10 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 16:55:47.291926
Analysis finished2023-12-10 16:55:48.594427
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법인또는상호
Text

Distinct3832
Distinct (%)98.6%
Missing1
Missing (%)< 0.1%
Memory size30.5 KiB
2023-12-11T01:55:48.855835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length6.7280679
Min length1

Characters and Unicode

Total characters26152
Distinct characters905
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3781 ?
Unique (%)97.3%

Sample

1st row누리온
2nd row(주)태산
3rd row우리네잡화점
4th row베스트디브이
5th row레드첸
ValueCountFrequency (%)
주식회사 155
 
3.2%
주 24
 
0.5%
컴퍼니 13
 
0.3%
company 13
 
0.3%
더 13
 
0.3%
앤 9
 
0.2%
j 7
 
0.1%
co 7
 
0.1%
스튜디오 6
 
0.1%
코리아 6
 
0.1%
Other values (4359) 4598
94.8%
2023-12-11T01:55:49.330331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
976
 
3.7%
이 838
 
3.2%
( 821
 
3.1%
) 820
 
3.1%
스 722
 
2.8%
리 481
 
1.8%
주 385
 
1.5%
e 366
 
1.4%
아 330
 
1.3%
사 319
 
1.2%
Other values (895) 20094
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17931
68.6%
Lowercase Letter 3022
 
11.6%
Uppercase Letter 2230
 
8.5%
Space Separator 976
 
3.7%
Open Punctuation 822
 
3.1%
Close Punctuation 821
 
3.1%
Decimal Number 166
 
0.6%
Other Punctuation 112
 
0.4%
Dash Punctuation 39
 
0.1%
Other Symbol 16
 
0.1%
Other values (3) 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 838
 
4.7%
스 722
 
4.0%
리 481
 
2.7%
주 385
 
2.1%
아 330
 
1.8%
사 319
 
1.8%
라 273
 
1.5%
트 242
 
1.3%
에 233
 
1.3%
니 230
 
1.3%
Other values (814) 13878
77.4%
Lowercase Letter
ValueCountFrequency (%)
e 366
12.1%
o 316
 
10.5%
a 261
 
8.6%
i 226
 
7.5%
n 205
 
6.8%
l 185
 
6.1%
r 175
 
5.8%
t 169
 
5.6%
s 148
 
4.9%
m 109
 
3.6%
Other values (16) 862
28.5%
Uppercase Letter
ValueCountFrequency (%)
O 177
 
7.9%
A 176
 
7.9%
S 154
 
6.9%
N 135
 
6.1%
E 134
 
6.0%
M 122
 
5.5%
L 113
 
5.1%
C 110
 
4.9%
I 100
 
4.5%
T 99
 
4.4%
Other values (16) 910
40.8%
Decimal Number
ValueCountFrequency (%)
1 48
28.9%
2 25
15.1%
0 20
12.0%
4 17
 
10.2%
3 14
 
8.4%
9 10
 
6.0%
7 10
 
6.0%
8 9
 
5.4%
5 8
 
4.8%
6 5
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 62
55.4%
& 30
26.8%
' 11
 
9.8%
# 4
 
3.6%
: 2
 
1.8%
@ 1
 
0.9%
′ 1
 
0.9%
/ 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 821
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 820
99.9%
] 1
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17941
68.6%
Latin 5252
 
20.1%
Common 2953
 
11.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 838
 
4.7%
스 722
 
4.0%
리 481
 
2.7%
주 385
 
2.1%
아 330
 
1.8%
사 319
 
1.8%
라 273
 
1.5%
트 242
 
1.3%
에 233
 
1.3%
니 230
 
1.3%
Other values (810) 13888
77.4%
Latin
ValueCountFrequency (%)
e 366
 
7.0%
o 316
 
6.0%
a 261
 
5.0%
i 226
 
4.3%
n 205
 
3.9%
l 185
 
3.5%
O 177
 
3.4%
A 176
 
3.4%
r 175
 
3.3%
t 169
 
3.2%
Other values (42) 2996
57.0%
Common
ValueCountFrequency (%)
976
33.1%
( 821
27.8%
) 820
27.8%
. 62
 
2.1%
1 48
 
1.6%
- 39
 
1.3%
& 30
 
1.0%
2 25
 
0.8%
0 20
 
0.7%
4 17
 
0.6%
Other values (18) 95
 
3.2%
Han
ValueCountFrequency (%)
眞 2
33.3%
署 1
16.7%
晛 1
16.7%
孝 1
16.7%
花 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17925
68.5%
ASCII 8203
31.4%
None 16
 
0.1%
CJK 6
 
< 0.1%
Punctuation 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
976
 
11.9%
( 821
 
10.0%
) 820
 
10.0%
e 366
 
4.5%
o 316
 
3.9%
a 261
 
3.2%
i 226
 
2.8%
n 205
 
2.5%
l 185
 
2.3%
O 177
 
2.2%
Other values (68) 3850
46.9%
Hangul
ValueCountFrequency (%)
이 838
 
4.7%
스 722
 
4.0%
리 481
 
2.7%
주 385
 
2.1%
아 330
 
1.8%
사 319
 
1.8%
라 273
 
1.5%
트 242
 
1.4%
에 233
 
1.3%
니 230
 
1.3%
Other values (809) 13872
77.4%
None
ValueCountFrequency (%)
㈜ 16
100.0%
CJK
ValueCountFrequency (%)
眞 2
33.3%
署 1
16.7%
晛 1
16.7%
孝 1
16.7%
花 1
16.7%
Punctuation
ValueCountFrequency (%)
′ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지주소
Text

Distinct3705
Distinct (%)95.3%
Missing2
Missing (%)0.1%
Memory size30.5 KiB
2023-12-11T01:55:49.561426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length49
Mean length36.059187
Min length1

Characters and Unicode

Total characters140126
Distinct characters407
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3556 ?
Unique (%)91.5%

Sample

1st row부산광역시 남구 유엔평화로 152-2， 3층 307호 (용당동， 용당한신문화타운)
2nd row부산광역시 남구 전포대로 116， 2층 (문현동)
3rd row부산광역시 남구 수영로 135， 104동 16층 1603호 (대연동， 대연롯데캐슬레전드)
4th row부산광역시 남구 수영로 312， 613호 (대연동)
5th row부산광역시 남구 수영로51번길 25， 2층 201호 (문현동)
ValueCountFrequency (%)
부산광역시 3884
 
14.6%
남구 3883
 
14.6%
대연동 864
 
3.3%
대연동， 760
 
2.9%
수영로 553
 
2.1%
용호동， 509
 
1.9%
문현동 419
 
1.6%
1층 272
 
1.0%
문현동， 231
 
0.9%
신선로 218
 
0.8%
Other values (3019) 14934
56.3%
2023-12-11T01:55:50.072367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22677
 
16.2%
1 6841
 
4.9%
동 5818
 
4.2%
， 5061
 
3.6%
시 4208
 
3.0%
남 4114
 
2.9%
부 4071
 
2.9%
로 4044
 
2.9%
산 4031
 
2.9%
2 3983
 
2.8%
Other values (397) 75278
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76397
54.5%
Decimal Number 26943
 
19.2%
Space Separator 22677
 
16.2%
Other Punctuation 5064
 
3.6%
Close Punctuation 3876
 
2.8%
Open Punctuation 3876
 
2.8%
Dash Punctuation 738
 
0.5%
Uppercase Letter 472
 
0.3%
Lowercase Letter 73
 
0.1%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5818
 
7.6%
시 4208
 
5.5%
남 4114
 
5.4%
부 4071
 
5.3%
로 4044
 
5.3%
산 4031
 
5.3%
광 3926
 
5.1%
구 3903
 
5.1%
역 3889
 
5.1%
호 3505
 
4.6%
Other values (346) 34888
45.7%
Uppercase Letter
ValueCountFrequency (%)
G 70
14.8%
B 69
14.6%
A 53
11.2%
L 53
11.2%
S 46
9.7%
I 35
7.4%
K 22
 
4.7%
E 18
 
3.8%
W 17
 
3.6%
H 17
 
3.6%
Other values (13) 72
15.3%
Decimal Number
ValueCountFrequency (%)
1 6841
25.4%
2 3983
14.8%
0 3818
14.2%
3 3108
11.5%
5 2002
 
7.4%
4 1908
 
7.1%
6 1704
 
6.3%
9 1356
 
5.0%
8 1137
 
4.2%
7 1086
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
l 28
38.4%
s 14
19.2%
i 13
17.8%
e 13
17.8%
a 2
 
2.7%
k 1
 
1.4%
b 1
 
1.4%
c 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
， 5061
99.9%
. 2
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅲ 3
42.9%
Space Separator
ValueCountFrequency (%)
22677
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3876
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3876
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 738
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76397
54.5%
Common 63177
45.1%
Latin 552
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5818
 
7.6%
시 4208
 
5.5%
남 4114
 
5.4%
부 4071
 
5.3%
로 4044
 
5.3%
산 4031
 
5.3%
광 3926
 
5.1%
구 3903
 
5.1%
역 3889
 
5.1%
호 3505
 
4.6%
Other values (346) 34888
45.7%
Latin
ValueCountFrequency (%)
G 70
12.7%
B 69
12.5%
A 53
 
9.6%
L 53
 
9.6%
S 46
 
8.3%
I 35
 
6.3%
l 28
 
5.1%
K 22
 
4.0%
E 18
 
3.3%
W 17
 
3.1%
Other values (23) 141
25.5%
Common
ValueCountFrequency (%)
22677
35.9%
1 6841
 
10.8%
， 5061
 
8.0%
2 3983
 
6.3%
) 3876
 
6.1%
( 3876
 
6.1%
0 3818
 
6.0%
3 3108
 
4.9%
5 2002
 
3.2%
4 1908
 
3.0%
Other values (8) 6027
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76397
54.5%
ASCII 58661
41.9%
None 5061
 
3.6%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22677
38.7%
1 6841
 
11.7%
2 3983
 
6.8%
) 3876
 
6.6%
( 3876
 
6.6%
0 3818
 
6.5%
3 3108
 
5.3%
5 2002
 
3.4%
4 1908
 
3.3%
6 1704
 
2.9%
Other values (38) 4868
 
8.3%
Hangul
ValueCountFrequency (%)
동 5818
 
7.6%
시 4208
 
5.5%
남 4114
 
5.4%
부 4071
 
5.3%
로 4044
 
5.3%
산 4031
 
5.3%
광 3926
 
5.1%
구 3903
 
5.1%
역 3889
 
5.1%
호 3505
 
4.6%
Other values (346) 34888
45.7%
None
ValueCountFrequency (%)
， 5061
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅲ 3
42.9%

취급품목
Text

Distinct184
Distinct (%)4.7%
Missing3
Missing (%)0.1%
Memory size30.5 KiB
2023-12-11T01:55:50.453707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length78
Mean length8.6993565
Min length1

Characters and Unicode

Total characters33797
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

Unique121 ?
Unique (%)3.1%

Sample

1st row종합몰
2nd row종합몰 건강/식품 기타
3rd row가구/수납용품
4th row기타 컴퓨터/사무용품
5th row종합몰
ValueCountFrequency (%)
의류/패션/잡화/뷰티 1846
39.0%
기타 881
18.6%
종합몰 707
 
14.9%
건강/식품 392
 
8.3%
교육/도서/완구/오락 195
 
4.1%
컴퓨터/사무용품 153
 
3.2%
레져/여행/공연 145
 
3.1%
가구/수납용품 139
 
2.9%
가전 135
 
2.8%
자동차/자동차용품 95
 
2.0%
Other values (4) 51
 
1.1%
2023-12-11T01:55:50.936848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 7205
21.3%
의 1846
 
5.5%
패 1846
 
5.5%
션 1846
 
5.5%
잡 1846
 
5.5%
화 1846
 
5.5%
뷰 1846
 
5.5%
티 1846
 
5.5%
류 1846
 
5.5%
기 881
 
2.6%
Other values (42) 10943
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25719
76.1%
Other Punctuation 7205
 
21.3%
Space Separator 854
 
2.5%
Dash Punctuation 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1846
 
7.2%
패 1846
 
7.2%
션 1846
 
7.2%
잡 1846
 
7.2%
화 1846
 
7.2%
뷰 1846
 
7.2%
티 1846
 
7.2%
류 1846
 
7.2%
기 881
 
3.4%
타 881
 
3.4%
Other values (39) 9189
35.7%
Other Punctuation
ValueCountFrequency (%)
/ 7205
100.0%
Space Separator
ValueCountFrequency (%)
854
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25719
76.1%
Common 8078
 
23.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1846
 
7.2%
패 1846
 
7.2%
션 1846
 
7.2%
잡 1846
 
7.2%
화 1846
 
7.2%
뷰 1846
 
7.2%
티 1846
 
7.2%
류 1846
 
7.2%
기 881
 
3.4%
타 881
 
3.4%
Other values (39) 9189
35.7%
Common
ValueCountFrequency (%)
/ 7205
89.2%
854
 
10.6%
- 19
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25719
76.1%
ASCII 8078
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 7205
89.2%
854
 
10.6%
- 19
 
0.2%
Hangul
ValueCountFrequency (%)
의 1846
 
7.2%
패 1846
 
7.2%
션 1846
 
7.2%
잡 1846
 
7.2%
화 1846
 
7.2%
뷰 1846
 
7.2%
티 1846
 
7.2%
류 1846
 
7.2%
기 881
 
3.4%
타 881
 
3.4%
Other values (39) 9189
35.7%

취급품목세부사항
Text

Distinct626
Distinct (%)16.1%
Missing3
Missing (%)0.1%
Memory size30.5 KiB
2023-12-11T01:55:51.277231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length1
Mean length2.2123552
Min length1

Characters and Unicode

Total characters8595
Distinct characters441
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

Unique526 ?
Unique (%)13.5%

Sample

1st row-
2nd row반려동물용품
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
2947
68.3%
및 26
 
0.6%
기타 25
 
0.6%
휴대폰 25
 
0.6%
의류/패션/잡화/뷰티 25
 
0.6%
화장품 24
 
0.6%
꽃 20
 
0.5%
캔들 18
 
0.4%
생화 18
 
0.4%
등 17
 
0.4%
Other values (709) 1167
 
27.1%
2023-12-11T01:55:51.794301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2950
34.3%
590
 
6.9%
품 271
 
3.2%
용 169
 
2.0%
기 128
 
1.5%
/ 125
 
1.5%
화 104
 
1.2%
자 83
 
1.0%
이 81
 
0.9%
인 73
 
0.8%
Other values (431) 4021
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4723
55.0%
Dash Punctuation 2950
34.3%
Space Separator 590
 
6.9%
Other Punctuation 145
 
1.7%
Decimal Number 47
 
0.5%
Lowercase Letter 45
 
0.5%
Uppercase Letter 35
 
0.4%
Close Punctuation 30
 
0.3%
Open Punctuation 30
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 271
 
5.7%
용 169
 
3.6%
기 128
 
2.7%
화 104
 
2.2%
자 83
 
1.8%
이 81
 
1.7%
인 73
 
1.5%
물 72
 
1.5%
제 71
 
1.5%
스 63
 
1.3%
Other values (385) 3608
76.4%
Uppercase Letter
ValueCountFrequency (%)
D 7
20.0%
E 6
17.1%
L 5
14.3%
C 3
8.6%
B 2
 
5.7%
P 2
 
5.7%
T 2
 
5.7%
V 1
 
2.9%
O 1
 
2.9%
N 1
 
2.9%
Other values (5) 5
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 14
31.1%
t 7
15.6%
v 7
15.6%
s 4
 
8.9%
l 3
 
6.7%
d 2
 
4.4%
e 2
 
4.4%
p 2
 
4.4%
a 1
 
2.2%
n 1
 
2.2%
Other values (2) 2
 
4.4%
Decimal Number
ValueCountFrequency (%)
9 8
17.0%
0 8
17.0%
1 8
17.0%
2 7
14.9%
3 5
10.6%
4 5
10.6%
8 3
 
6.4%
7 2
 
4.3%
6 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 125
86.2%
. 15
 
10.3%
? 2
 
1.4%
: 1
 
0.7%
& 1
 
0.7%
# 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 2950
100.0%
Space Separator
ValueCountFrequency (%)
590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4723
55.0%
Common 3792
44.1%
Latin 80
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 271
 
5.7%
용 169
 
3.6%
기 128
 
2.7%
화 104
 
2.2%
자 83
 
1.8%
이 81
 
1.7%
인 73
 
1.5%
물 72
 
1.5%
제 71
 
1.5%
스 63
 
1.3%
Other values (385) 3608
76.4%
Latin
ValueCountFrequency (%)
c 14
17.5%
t 7
 
8.8%
D 7
 
8.8%
v 7
 
8.8%
E 6
 
7.5%
L 5
 
6.2%
s 4
 
5.0%
l 3
 
3.8%
C 3
 
3.8%
B 2
 
2.5%
Other values (17) 22
27.5%
Common
ValueCountFrequency (%)
- 2950
77.8%
590
 
15.6%
/ 125
 
3.3%
) 30
 
0.8%
( 30
 
0.8%
. 15
 
0.4%
9 8
 
0.2%
0 8
 
0.2%
1 8
 
0.2%
2 7
 
0.2%
Other values (9) 21
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4723
55.0%
ASCII 3872
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2950
76.2%
590
 
15.2%
/ 125
 
3.2%
) 30
 
0.8%
( 30
 
0.8%
. 15
 
0.4%
c 14
 
0.4%
9 8
 
0.2%
0 8
 
0.2%
1 8
 
0.2%
Other values (36) 94
 
2.4%
Hangul
ValueCountFrequency (%)
품 271
 
5.7%
용 169
 
3.6%
기 128
 
2.7%
화 104
 
2.2%
자 83
 
1.8%
이 81
 
1.7%
인 73
 
1.5%
물 72
 
1.5%
제 71
 
1.5%
스 63
 
1.3%
Other values (385) 3608
76.4%

Missing values

2023-12-11T01:55:48.334194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:55:48.420892image/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.
2023-12-11T01:55:48.525659image/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

법인또는상호소재지주소취급품목취급품목세부사항
0누리온부산광역시 남구 유엔평화로 152-2， 3층 307호 (용당동， 용당한신문화타운)종합몰-
1(주)태산부산광역시 남구 전포대로 116， 2층 (문현동)종합몰 건강/식품 기타반려동물용품
2우리네잡화점부산광역시 남구 수영로 135， 104동 16층 1603호 (대연동， 대연롯데캐슬레전드)가구/수납용품-
3베스트디브이부산광역시 남구 수영로 312， 613호 (대연동)기타 컴퓨터/사무용품-
4레드첸부산광역시 남구 수영로51번길 25， 2층 201호 (문현동)종합몰-
5서천 상사부산광역시 남구 전포대로 26， A동 2403호 (문현동， 문현삼성힐타워)종합몰-
6잔다(Janda)부산광역시 남구 전포대로 133， 12층 (문현동)기타소프트웨어 프로그램
7허 주얼리(Her Jewelry)부산광역시 남구 수영로13번길 6-9， 704호 (문현동， 성화빌)의류/패션/잡화/뷰티-
8플래그플로 랩부산광역시 남구 신선로 365， 10공학관 411호 (용당동)기타반려동물 용품
9다모아몰부산광역시 남구 수영로 298， 1동 10층 1001호 (대연동)의류/패션/잡화/뷰티 기타애견용품
법인또는상호소재지주소취급품목취급품목세부사항
3878에이치코스팜부산광역시 남구 고동골로78번길 45-11 (문현동)-의류/패션/잡화/뷰티
3879㈜에듀그룹부산광역시 남구 신선로 365， 517호 (용당동，부경대학교 기술사업단)교육/도서/완구/오락교육/도서/완구/오락
3880윈즈넷부산광역시 남구 동명로170번길 93， 3동 207호 (용호동， 동일아파트)기타 가전기타
3881준시스템부산광역시 남구 유엔로120번가길 31 (대연동)자동차/자동차용품자동차/자동차용품
3882키즈앤베이비부산광역시 남구 황령대로 504， 211호 (대연동，대연비치상가)의류/패션/잡화/뷰티의류/패션/잡화/뷰티
3883도서출판민족문화부산광역시 남구 유엔평화로10번길 57 (대연동)교육/도서/완구/오락교육/도서/완구/오락
3884(주)농협사료 부산바이오부산광역시 남구 우암로 337 (문현동)기타기타
3885㈜뷰텍부산광역시 남구 못골번영로49번길 2， 1층 (대연동)의류/패션/잡화/뷰티의류/패션/잡화/뷰티
3886㈜뷰케리부산광역시 남구 대연동 55번지의류/패션/잡화/뷰티의류/패션/잡화/뷰티
3887㈜애드뱅크부산광역시 남구 자성로 152， 2002호 (문현동， 한일오피스텔)기타기타

Duplicate rows

Most frequently occurring

법인또는상호소재지주소취급품목취급품목세부사항# duplicates
01103부산광역시 남구 수영로298번길 41 (대연동)의류/패션/잡화/뷰티-2
1나비앙부산광역시 남구 진남로 210， 2층 (문현동)의류/패션/잡화/뷰티-2
2마누아부산광역시 남구 분포로 145， 스퀘어동 2층 2071호 (용호동， 더블유)의류/패션/잡화/뷰티-2
3산야초발효과학원부산광역시 남구 황령대로319번가길 142， 상가동 지하층 101호 (대연동， 삼익그린타운)건강/식품-2
4샵부산광역시 남구 고동골로59번길 2 (문현동)의류/패션/잡화/뷰티-2
5에녹부산광역시 남구 동제당로 20， 가동 202호 (문현동， 대송주택)의류/패션/잡화/뷰티-2
6재재샵부산광역시 남구 황령대로353번길 34 (대연동)의류/패션/잡화/뷰티-2
7주식회사 아띠세라부산광역시 남구 유엔평화로 110-10， 지하1층 (대연동)기타수공예품2
8카와이모모부산광역시 남구 고동골로78번길 23， 3동 8층 803호 (문현동， 한양아파트)의류/패션/잡화/뷰티-2
9키바라부산광역시 남구 유엔평화로 12 (대연동)의류/패션/잡화/뷰티-2