Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells886
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description경기도 하남시의 통신판매업 현황에 대한 데이터로 법인또는상호, 운영상태, 도메인명, 취급품목 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15120370/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
운영상태 is highly imbalanced (99.9%)Imbalance
도메인명 has 818 (8.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:58:03.948350
Analysis finished2023-12-12 07:58:05.571781
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6541.7115
Minimum2
Maximum13058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:58:05.959952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile661.95
Q13280.75
median6543.5
Q39800.5
95-th percentile12418.05
Maximum13058
Range13056
Interquartile range (IQR)6519.75

Descriptive statistics

Standard deviation3770.7636
Coefficient of variation (CV)0.57641852
Kurtosis-1.2019285
Mean6541.7115
Median Absolute Deviation (MAD)3260.5
Skewness-0.0032758775
Sum65417115
Variance14218658
MonotonicityNot monotonic
2023-12-12T16:58:06.138399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11526 1
 
< 0.1%
5511 1
 
< 0.1%
6222 1
 
< 0.1%
7888 1
 
< 0.1%
12848 1
 
< 0.1%
9418 1
 
< 0.1%
3938 1
 
< 0.1%
3929 1
 
< 0.1%
1867 1
 
< 0.1%
2124 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
16 1
< 0.1%
ValueCountFrequency (%)
13058 1
< 0.1%
13057 1
< 0.1%
13056 1
< 0.1%
13055 1
< 0.1%
13052 1
< 0.1%
13051 1
< 0.1%
13050 1
< 0.1%
13048 1
< 0.1%
13046 1
< 0.1%
13045 1
< 0.1%

법인또는상호
Text

Distinct9867
Distinct (%)98.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T16:58:06.566636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length7.389639
Min length1

Characters and Unicode

Total characters73889
Distinct characters1080
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9743 ?
Unique (%)97.4%

Sample

1st row주식회사 피티알 (PTR)
2nd row제이피마조(JP majo)
3rd row서울스포츠스태킹총판
4th row아이엔에프피 (INFP)
5th row로즈베리
ValueCountFrequency (%)
주식회사 1303
 
9.4%
주 141
 
1.0%
co 63
 
0.5%
ltd 60
 
0.4%
컴퍼니 50
 
0.4%
㈜ 49
 
0.4%
company 40
 
0.3%
농업회사법인 32
 
0.2%
korea 30
 
0.2%
inc 28
 
0.2%
Other values (11059) 12130
87.1%
2023-12-12T16:58:07.139060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3972
 
5.4%
이 2595
 
3.5%
스 2104
 
2.8%
) 2036
 
2.8%
( 2028
 
2.7%
주 2019
 
2.7%
사 1772
 
2.4%
회 1459
 
2.0%
식 1427
 
1.9%
리 1160
 
1.6%
Other values (1070) 53317
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52786
71.4%
Lowercase Letter 6597
 
8.9%
Uppercase Letter 5426
 
7.3%
Space Separator 3972
 
5.4%
Close Punctuation 2037
 
2.8%
Open Punctuation 2029
 
2.7%
Decimal Number 488
 
0.7%
Other Punctuation 358
 
0.5%
Other Symbol 118
 
0.2%
Dash Punctuation 54
 
0.1%
Other values (3) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2595
 
4.9%
스 2104
 
4.0%
주 2019
 
3.8%
사 1772
 
3.4%
회 1459
 
2.8%
식 1427
 
2.7%
리 1160
 
2.2%
에 966
 
1.8%
아 917
 
1.7%
드 709
 
1.3%
Other values (986) 37658
71.3%
Lowercase Letter
ValueCountFrequency (%)
e 755
11.4%
o 696
 
10.6%
a 614
 
9.3%
n 502
 
7.6%
i 462
 
7.0%
r 440
 
6.7%
t 403
 
6.1%
l 379
 
5.7%
s 324
 
4.9%
m 239
 
3.6%
Other values (16) 1783
27.0%
Uppercase Letter
ValueCountFrequency (%)
A 414
 
7.6%
O 411
 
7.6%
E 376
 
6.9%
S 373
 
6.9%
M 315
 
5.8%
I 315
 
5.8%
L 315
 
5.8%
C 301
 
5.5%
N 294
 
5.4%
T 262
 
4.8%
Other values (16) 2050
37.8%
Decimal Number
ValueCountFrequency (%)
1 93
19.1%
2 90
18.4%
3 57
11.7%
0 53
10.9%
5 46
9.4%
4 45
9.2%
9 32
 
6.6%
8 30
 
6.1%
7 25
 
5.1%
6 17
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 229
64.0%
& 82
 
22.9%
' 21
 
5.9%
? 8
 
2.2%
: 8
 
2.2%
/ 5
 
1.4%
# 5
 
1.4%
Math Symbol
ValueCountFrequency (%)
< 2
33.3%
> 2
33.3%
~ 1
16.7%
+ 1
16.7%
Other Symbol
ValueCountFrequency (%)
㈜ 116
98.3%
★ 1
 
0.8%
℃ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 2036
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2028
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3972
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52892
71.6%
Latin 12023
 
16.3%
Common 8964
 
12.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2595
 
4.9%
스 2104
 
4.0%
주 2019
 
3.8%
사 1772
 
3.4%
회 1459
 
2.8%
식 1427
 
2.7%
리 1160
 
2.2%
에 966
 
1.8%
아 917
 
1.7%
드 709
 
1.3%
Other values (977) 37764
71.4%
Latin
ValueCountFrequency (%)
e 755
 
6.3%
o 696
 
5.8%
a 614
 
5.1%
n 502
 
4.2%
i 462
 
3.8%
r 440
 
3.7%
A 414
 
3.4%
O 411
 
3.4%
t 403
 
3.4%
l 379
 
3.2%
Other values (42) 6947
57.8%
Common
ValueCountFrequency (%)
3972
44.3%
) 2036
22.7%
( 2028
22.6%
. 229
 
2.6%
1 93
 
1.0%
2 90
 
1.0%
& 82
 
0.9%
3 57
 
0.6%
- 54
 
0.6%
0 53
 
0.6%
Other values (21) 270
 
3.0%
Han
ValueCountFrequency (%)
米 1
10.0%
人 1
10.0%
小 1
10.0%
風 1
10.0%
林 1
10.0%
衣 1
10.0%
業 1
10.0%
興 1
10.0%
昌 1
10.0%
大 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52775
71.4%
ASCII 20985
 
28.4%
None 116
 
0.2%
CJK 10
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3972
18.9%
) 2036
 
9.7%
( 2028
 
9.7%
e 755
 
3.6%
o 696
 
3.3%
a 614
 
2.9%
n 502
 
2.4%
i 462
 
2.2%
r 440
 
2.1%
A 414
 
2.0%
Other values (71) 9066
43.2%
Hangul
ValueCountFrequency (%)
이 2595
 
4.9%
스 2104
 
4.0%
주 2019
 
3.8%
사 1772
 
3.4%
회 1459
 
2.8%
식 1427
 
2.7%
리 1160
 
2.2%
에 966
 
1.8%
아 917
 
1.7%
드 709
 
1.3%
Other values (975) 37647
71.3%
None
ValueCountFrequency (%)
㈜ 116
100.0%
CJK
ValueCountFrequency (%)
米 1
10.0%
人 1
10.0%
小 1
10.0%
風 1
10.0%
林 1
10.0%
衣 1
10.0%
業 1
10.0%
興 1
10.0%
昌 1
10.0%
大 1
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

운영상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
9999 
20121220
 
1

Length

Max length8
Median length4
Mean length4.0004
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 9999
> 99.9%
20121220 1
 
< 0.1%

Length

2023-12-12T16:58:07.325943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:07.438125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 9999
> 99.9%
20121220 1
 
< 0.1%

도메인명
Text

MISSING 

Distinct5789
Distinct (%)63.0%
Missing818
Missing (%)8.2%
Memory size156.2 KiB
2023-12-12T16:58:07.616813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length57
Mean length19.02897
Min length1

Characters and Unicode

Total characters174724
Distinct characters432
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5625 ?
Unique (%)61.3%

Sample

1st rowwww.biotiquekorea.com
2nd rowjpmajo.com
3rd rowhttps://smartstore.naver.com/sssa9179
4th rowhttps://smartstore.naver.com/zuanton
5th rowhttp://www.idus.com
ValueCountFrequency (%)
네이버 933
 
9.2%
스마트스토어 820
 
8.1%
오픈마켓 577
 
5.7%
쿠팡 485
 
4.8%
네이버스마트스토어 337
 
3.3%
옥션 148
 
1.5%
11번가 144
 
1.4%
g마켓 97
 
1.0%
스토어 78
 
0.8%
스토어팜 75
 
0.7%
Other values (5678) 6477
63.7%
2023-12-12T16:58:07.980756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 13203
 
7.6%
o 12154
 
7.0%
. 11438
 
6.5%
r 10906
 
6.2%
s 10146
 
5.8%
/ 9812
 
5.6%
a 9373
 
5.4%
e 9307
 
5.3%
m 8465
 
4.8%
c 6421
 
3.7%
Other values (422) 73499
42.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 122558
70.1%
Other Punctuation 24411
 
14.0%
Other Letter 21500
 
12.3%
Decimal Number 2837
 
1.6%
Space Separator 1042
 
0.6%
Uppercase Letter 1016
 
0.6%
Connector Punctuation 600
 
0.3%
Dash Punctuation 330
 
0.2%
Close Punctuation 209
 
0.1%
Open Punctuation 209
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 3049
14.2%
마 2427
11.3%
어 1609
 
7.5%
이 1603
 
7.5%
토 1593
 
7.4%
네 1499
 
7.0%
버 1495
 
7.0%
트 1427
 
6.6%
켓 1015
 
4.7%
오 733
 
3.4%
Other values (343) 5050
23.5%
Lowercase Letter
ValueCountFrequency (%)
t 13203
10.8%
o 12154
 
9.9%
r 10906
 
8.9%
s 10146
 
8.3%
a 9373
 
7.6%
e 9307
 
7.6%
m 8465
 
6.9%
c 6421
 
5.2%
w 6116
 
5.0%
n 5863
 
4.8%
Other values (16) 30604
25.0%
Uppercase Letter
ValueCountFrequency (%)
G 148
 
14.6%
A 62
 
6.1%
M 55
 
5.4%
R 49
 
4.8%
N 45
 
4.4%
W 42
 
4.1%
H 42
 
4.1%
T 42
 
4.1%
P 41
 
4.0%
D 40
 
3.9%
Other values (16) 450
44.3%
Other Punctuation
ValueCountFrequency (%)
. 11438
46.9%
/ 9812
40.2%
: 3095
 
12.7%
@ 25
 
0.1%
# 20
 
0.1%
? 9
 
< 0.1%
; 7
 
< 0.1%
& 2
 
< 0.1%
" 2
 
< 0.1%
' 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 913
32.2%
2 408
14.4%
0 317
 
11.2%
4 214
 
7.5%
7 195
 
6.9%
9 185
 
6.5%
5 169
 
6.0%
3 168
 
5.9%
8 160
 
5.6%
6 108
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 11
91.7%
~ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1042
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 123574
70.7%
Common 29650
 
17.0%
Hangul 21499
 
12.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 3049
14.2%
마 2427
11.3%
어 1609
 
7.5%
이 1603
 
7.5%
토 1593
 
7.4%
네 1499
 
7.0%
버 1495
 
7.0%
트 1427
 
6.6%
켓 1015
 
4.7%
오 733
 
3.4%
Other values (342) 5049
23.5%
Latin
ValueCountFrequency (%)
t 13203
10.7%
o 12154
 
9.8%
r 10906
 
8.8%
s 10146
 
8.2%
a 9373
 
7.6%
e 9307
 
7.5%
m 8465
 
6.9%
c 6421
 
5.2%
w 6116
 
4.9%
n 5863
 
4.7%
Other values (42) 31620
25.6%
Common
ValueCountFrequency (%)
. 11438
38.6%
/ 9812
33.1%
: 3095
 
10.4%
1042
 
3.5%
1 913
 
3.1%
_ 600
 
2.0%
2 408
 
1.4%
- 330
 
1.1%
0 317
 
1.1%
4 214
 
0.7%
Other values (17) 1481
 
5.0%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153224
87.7%
Hangul 21499
 
12.3%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 13203
 
8.6%
o 12154
 
7.9%
. 11438
 
7.5%
r 10906
 
7.1%
s 10146
 
6.6%
/ 9812
 
6.4%
a 9373
 
6.1%
e 9307
 
6.1%
m 8465
 
5.5%
c 6421
 
4.2%
Other values (69) 51999
33.9%
Hangul
ValueCountFrequency (%)
스 3049
14.2%
마 2427
11.3%
어 1609
 
7.5%
이 1603
 
7.5%
토 1593
 
7.4%
네 1499
 
7.0%
버 1495
 
7.0%
트 1427
 
6.6%
켓 1015
 
4.7%
오 733
 
3.4%
Other values (342) 5049
23.5%
CJK
ValueCountFrequency (%)
外 1
100.0%

취급품목
Text

Distinct521
Distinct (%)5.2%
Missing67
Missing (%)0.7%
Memory size156.2 KiB
2023-12-12T16:58:08.138386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length81
Mean length9.1700393
Min length2

Characters and Unicode

Total characters91086
Distinct characters50
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)3.1%

Sample

1st row의류/패션/잡화/뷰티
2nd row종합몰 건강/식품
3rd row교육/도서/완구/오락 레져/여행/공연
4th row의류/패션/잡화/뷰티
5th row기타
ValueCountFrequency (%)
종합몰 4013
27.3%
의류/패션/잡화/뷰티 3149
21.4%
기타 2311
15.7%
건강/식품 1493
 
10.2%
교육/도서/완구/오락 733
 
5.0%
가구/수납용품 717
 
4.9%
컴퓨터/사무용품 626
 
4.3%
가전 587
 
4.0%
자동차/자동차용품 467
 
3.2%
레져/여행/공연 403
 
2.7%
Other values (2) 187
 
1.3%
2023-12-12T16:58:08.456353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 15834
 
17.4%
4753
 
5.2%
종 4013
 
4.4%
합 4013
 
4.4%
몰 4013
 
4.4%
품 3490
 
3.8%
류 3149
 
3.5%
의 3149
 
3.5%
패 3149
 
3.5%
션 3149
 
3.5%
Other values (40) 42374
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70499
77.4%
Other Punctuation 15834
 
17.4%
Space Separator 4753
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 4013
 
5.7%
합 4013
 
5.7%
몰 4013
 
5.7%
품 3490
 
5.0%
류 3149
 
4.5%
의 3149
 
4.5%
패 3149
 
4.5%
션 3149
 
4.5%
잡 3149
 
4.5%
화 3149
 
4.5%
Other values (38) 36076
51.2%
Other Punctuation
ValueCountFrequency (%)
/ 15834
100.0%
Space Separator
ValueCountFrequency (%)
4753
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70499
77.4%
Common 20587
 
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 4013
 
5.7%
합 4013
 
5.7%
몰 4013
 
5.7%
품 3490
 
5.0%
류 3149
 
4.5%
의 3149
 
4.5%
패 3149
 
4.5%
션 3149
 
4.5%
잡 3149
 
4.5%
화 3149
 
4.5%
Other values (38) 36076
51.2%
Common
ValueCountFrequency (%)
/ 15834
76.9%
4753
 
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70499
77.4%
ASCII 20587
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 15834
76.9%
4753
 
23.1%
Hangul
ValueCountFrequency (%)
종 4013
 
5.7%
합 4013
 
5.7%
몰 4013
 
5.7%
품 3490
 
5.0%
류 3149
 
4.5%
의 3149
 
4.5%
패 3149
 
4.5%
션 3149
 
4.5%
잡 3149
 
4.5%
화 3149
 
4.5%
Other values (38) 36076
51.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-09
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-09
2nd row2023-08-09
3rd row2023-08-09
4th row2023-08-09
5th row2023-08-09

Common Values

ValueCountFrequency (%)
2023-08-09 10000
100.0%

Length

2023-12-12T16:58:08.609712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:08.707284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-09 10000
100.0%

Interactions

2023-12-12T16:58:05.025805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:58:08.756939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태
번호1.0000.000
운영상태0.0001.000
2023-12-12T16:58:08.844779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태
번호1.0000.000
운영상태0.0001.000

Missing values

2023-12-12T16:58:05.206385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:58:05.339729image/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.
2023-12-12T16:58:05.496035image/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

번호법인또는상호운영상태도메인명취급품목데이터기준일자
1152511526주식회사 피티알 (PTR)정상영업www.biotiquekorea.com의류/패션/잡화/뷰티2023-08-09
96149615제이피마조(JP majo)정상영업jpmajo.com종합몰 건강/식품2023-08-09
84988499서울스포츠스태킹총판정상영업https://smartstore.naver.com/sssa9179교육/도서/완구/오락 레져/여행/공연2023-08-09
14361437아이엔에프피 (INFP)정상영업https://smartstore.naver.com/zuanton의류/패션/잡화/뷰티2023-08-09
64256426로즈베리정상영업http://www.idus.com기타2023-08-09
30913092에스제이 상사정상영업https://smartstore.naver.com/repaver종합몰2023-08-09
40514052원더마켓정상영업네이버 그립의류/패션/잡화/뷰티2023-08-09
86338634아림샵정상영업https://smartstore.naver.com/thearimshop종합몰 의류/패션/잡화/뷰티2023-08-09
59755976지쉐로(GSHERO)정상영업스마트스토어의류/패션/잡화/뷰티2023-08-09
1110911110홈인정상영업www.epost.co.kr종합몰2023-08-09
번호법인또는상호운영상태도메인명취급품목데이터기준일자
41514152새얀빛정상영업skymad@hanmail.net종합몰2023-08-09
47114712용자들정상영업http://storefarm.naver.com/yongjamart종합몰2023-08-09
53605361소비 (sobii)정상영업http://www.sobii.co.kr의류/패션/잡화/뷰티2023-08-09
34213422도령 남원추어탕정상영업http://m.blog.naver.com/0607pjy건강/식품2023-08-09
37403741바이케이아이엘정상영업https://smartstore.naver.com/wizincellderm의류/패션/잡화/뷰티2023-08-09
1176611767한라물산정상영업www.hallasport.co.kr종합몰 컴퓨터/사무용품 의류/패션/잡화/뷰티2023-08-09
70267027제이제이정상영업쿠팡종합몰 건강/식품 의류/패션/잡화/뷰티2023-08-09
83568357도도시스터정상영업쿠팡종합몰2023-08-09
34473448쏭퍼피(songpuppy)정상영업www.sonopuppy.kr의류/패션/잡화/뷰티2023-08-09
75447545백지정상영업네이버의류/패션/잡화/뷰티2023-08-09