Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells30689
Missing cells (%)9.3%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory2.7 MiB
Average record size in memory282.0 B

Variable types

Text8
Unsupported3
Categorical20
DateTime2

Dataset

Description상호,쇼핑몰명,도메인명,전화번호,운영자이메일,통신판매번호,영업형태,최초신고일자,회사주소,업소상태,전체평가,사업자정보표시평가,청약철회평가,결재방법평가,이용약관평가,개인정보보안평가,주요취급품목,청약철회가능여부,초기화면필수항목중표시사항,결제방법,이용약관준수정도,개인정보취급방침,표준약관이상개인정보항목요구,구매안전서비스,보안서버설치,인증마크,배송예정일표시,철회시배송비부담여부,고객불만게시판운영,회원탈퇴방법,사이트개설년도,모니터링날짜
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2256/S/1/datasetView.do

Alerts

업소상태코드 has constant value ""Constant
업소상태 has constant value ""Constant
Dataset has 3 (< 0.1%) duplicate rowsDuplicates
영업형태 is highly imbalanced (55.7%)Imbalance
결재방법평가 is highly imbalanced (51.4%)Imbalance
결제방법 is highly imbalanced (52.1%)Imbalance
이용약관준수정도 is highly imbalanced (51.1%)Imbalance
개인정보취급방침 is highly imbalanced (76.3%)Imbalance
표준약관이상개인정보항목요구 is highly imbalanced (91.7%)Imbalance
고객불만게시판운영 is highly imbalanced (57.8%)Imbalance
회원탈퇴방법 is highly imbalanced (63.4%)Imbalance
통신판매번호 has 10000 (100.0%) missing valuesMissing
주요취급품목 has 680 (6.8%) missing valuesMissing
보안서버설치 has 10000 (100.0%) missing valuesMissing
인증마크 has 10000 (100.0%) missing valuesMissing
통신판매번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보안서버설치 is an unsupported type, check if it needs cleaning or further analysisUnsupported
인증마크 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 04:43:13.199520
Analysis finished2024-05-04 04:43:21.533356
Duration8.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct9804
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:43:22.114246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length8.7327
Min length1

Characters and Unicode

Total characters87327
Distinct characters1066
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9654 ?
Unique (%)96.5%

Sample

1st row리트모코퍼레이션주식회사
2nd row케이아이엘시스템
3rd row탠저린
4th row(주)고든
5th row험버라인(Humber Line)
ValueCountFrequency (%)
주식회사 1776
 
12.0%
360
 
2.4%
61
 
0.4%
inc 57
 
0.4%
co 55
 
0.4%
co.,ltd 51
 
0.3%
ltd 49
 
0.3%
스튜디오 41
 
0.3%
company 37
 
0.3%
유한회사 30
 
0.2%
Other values (11320) 12255
83.0%
2024-05-04T04:43:23.685549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4835
 
5.5%
3705
 
4.2%
) 3375
 
3.9%
( 3370
 
3.9%
2702
 
3.1%
2348
 
2.7%
2333
 
2.7%
1939
 
2.2%
1871
 
2.1%
1201
 
1.4%
Other values (1056) 59648
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58548
67.0%
Lowercase Letter 8195
 
9.4%
Uppercase Letter 7528
 
8.6%
Space Separator 4835
 
5.5%
Close Punctuation 3378
 
3.9%
Open Punctuation 3373
 
3.9%
Other Punctuation 839
 
1.0%
Decimal Number 477
 
0.5%
Other Symbol 91
 
0.1%
Dash Punctuation 53
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3705
 
6.3%
2702
 
4.6%
2348
 
4.0%
2333
 
4.0%
1939
 
3.3%
1871
 
3.2%
1201
 
2.1%
1105
 
1.9%
913
 
1.6%
876
 
1.5%
Other values (974) 39555
67.6%
Lowercase Letter
ValueCountFrequency (%)
e 956
11.7%
o 886
 
10.8%
a 686
 
8.4%
n 642
 
7.8%
i 593
 
7.2%
t 562
 
6.9%
r 500
 
6.1%
l 444
 
5.4%
s 361
 
4.4%
d 333
 
4.1%
Other values (16) 2232
27.2%
Uppercase Letter
ValueCountFrequency (%)
E 634
 
8.4%
A 618
 
8.2%
O 610
 
8.1%
L 497
 
6.6%
C 478
 
6.3%
I 459
 
6.1%
N 437
 
5.8%
T 423
 
5.6%
S 417
 
5.5%
M 359
 
4.8%
Other values (16) 2596
34.5%
Other Punctuation
ValueCountFrequency (%)
. 357
42.6%
/ 265
31.6%
, 113
 
13.5%
& 71
 
8.5%
' 20
 
2.4%
: 5
 
0.6%
! 3
 
0.4%
# 2
 
0.2%
? 2
 
0.2%
% 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 103
21.6%
2 73
15.3%
3 72
15.1%
0 72
15.1%
4 35
 
7.3%
5 34
 
7.1%
9 26
 
5.5%
8 22
 
4.6%
7 20
 
4.2%
6 20
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 3375
99.9%
] 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3370
99.9%
[ 3
 
0.1%
Other Symbol
ValueCountFrequency (%)
90
98.9%
1
 
1.1%
Space Separator
ValueCountFrequency (%)
4835
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58629
67.1%
Latin 15723
 
18.0%
Common 12966
 
14.8%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3705
 
6.3%
2702
 
4.6%
2348
 
4.0%
2333
 
4.0%
1939
 
3.3%
1871
 
3.2%
1201
 
2.0%
1105
 
1.9%
913
 
1.6%
876
 
1.5%
Other values (967) 39636
67.6%
Latin
ValueCountFrequency (%)
e 956
 
6.1%
o 886
 
5.6%
a 686
 
4.4%
n 642
 
4.1%
E 634
 
4.0%
A 618
 
3.9%
O 610
 
3.9%
i 593
 
3.8%
t 562
 
3.6%
r 500
 
3.2%
Other values (42) 9036
57.5%
Common
ValueCountFrequency (%)
4835
37.3%
) 3375
26.0%
( 3370
26.0%
. 357
 
2.8%
/ 265
 
2.0%
, 113
 
0.9%
1 103
 
0.8%
2 73
 
0.6%
3 72
 
0.6%
0 72
 
0.6%
Other values (19) 331
 
2.6%
Han
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58538
67.0%
ASCII 28688
32.9%
None 90
 
0.1%
CJK 9
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4835
16.9%
) 3375
 
11.8%
( 3370
 
11.7%
e 956
 
3.3%
o 886
 
3.1%
a 686
 
2.4%
n 642
 
2.2%
E 634
 
2.2%
A 618
 
2.2%
O 610
 
2.1%
Other values (70) 12076
42.1%
Hangul
ValueCountFrequency (%)
3705
 
6.3%
2702
 
4.6%
2348
 
4.0%
2333
 
4.0%
1939
 
3.3%
1871
 
3.2%
1201
 
2.1%
1105
 
1.9%
913
 
1.6%
876
 
1.5%
Other values (965) 39545
67.6%
None
ValueCountFrequency (%)
90
100.0%
CJK
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct9950
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:43:24.548519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length61
Mean length17.6819
Min length1

Characters and Unicode

Total characters176819
Distinct characters1138
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9916 ?
Unique (%)99.2%

Sample

1st row리트디비타/ritdivita
2nd rowhyugaday/휴가데이
3rd row탠저린/tangerine
4th rowsinbiun/신비운/신비운닷컴/sinbiun.com
5th rowhumber sukajan/험버 스카쟌/Humber/험버
ValueCountFrequency (%)
5470
 
20.3%
입점 538
 
2.0%
스마트스토어 240
 
0.9%
네이버 118
 
0.4%
the 67
 
0.2%
korea 57
 
0.2%
mall 57
 
0.2%
studio 41
 
0.2%
shop 40
 
0.1%
market 35
 
0.1%
Other values (17937) 20313
75.3%
2024-05-04T04:43:25.963596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17497
 
9.9%
/ 11298
 
6.4%
e 7258
 
4.1%
a 6721
 
3.8%
o 6585
 
3.7%
n 4966
 
2.8%
i 4735
 
2.7%
r 4250
 
2.4%
l 4055
 
2.3%
s 3958
 
2.2%
Other values (1128) 105496
59.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 70945
40.1%
Other Letter 56274
31.8%
Space Separator 17497
 
9.9%
Uppercase Letter 17113
 
9.7%
Other Punctuation 11789
 
6.7%
Decimal Number 1774
 
1.0%
Close Punctuation 566
 
0.3%
Open Punctuation 566
 
0.3%
Dash Punctuation 232
 
0.1%
Connector Punctuation 51
 
< 0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3070
 
5.5%
2885
 
5.1%
1279
 
2.3%
1230
 
2.2%
1087
 
1.9%
1050
 
1.9%
857
 
1.5%
856
 
1.5%
771
 
1.4%
739
 
1.3%
Other values (1047) 42450
75.4%
Lowercase Letter
ValueCountFrequency (%)
e 7258
 
10.2%
a 6721
 
9.5%
o 6585
 
9.3%
n 4966
 
7.0%
i 4735
 
6.7%
r 4250
 
6.0%
l 4055
 
5.7%
s 3958
 
5.6%
t 3767
 
5.3%
m 2900
 
4.1%
Other values (16) 21750
30.7%
Uppercase Letter
ValueCountFrequency (%)
E 1566
 
9.2%
A 1518
 
8.9%
O 1324
 
7.7%
S 1094
 
6.4%
I 1023
 
6.0%
N 1021
 
6.0%
L 983
 
5.7%
T 965
 
5.6%
R 908
 
5.3%
M 790
 
4.6%
Other values (16) 5921
34.6%
Other Punctuation
ValueCountFrequency (%)
/ 11298
95.8%
. 205
 
1.7%
& 154
 
1.3%
' 62
 
0.5%
, 23
 
0.2%
: 15
 
0.1%
# 11
 
0.1%
? 10
 
0.1%
! 7
 
0.1%
% 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 401
22.6%
0 261
14.7%
2 239
13.5%
3 168
9.5%
4 164
9.2%
9 158
 
8.9%
5 125
 
7.0%
8 96
 
5.4%
7 83
 
4.7%
6 79
 
4.5%
Space Separator
ValueCountFrequency (%)
17497
100.0%
Close Punctuation
ValueCountFrequency (%)
) 566
100.0%
Open Punctuation
ValueCountFrequency (%)
( 566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 51
100.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88058
49.8%
Hangul 56260
31.8%
Common 32487
 
18.4%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3070
 
5.5%
2885
 
5.1%
1279
 
2.3%
1230
 
2.2%
1087
 
1.9%
1050
 
1.9%
857
 
1.5%
856
 
1.5%
771
 
1.4%
739
 
1.3%
Other values (1034) 42436
75.4%
Latin
ValueCountFrequency (%)
e 7258
 
8.2%
a 6721
 
7.6%
o 6585
 
7.5%
n 4966
 
5.6%
i 4735
 
5.4%
r 4250
 
4.8%
l 4055
 
4.6%
s 3958
 
4.5%
t 3767
 
4.3%
m 2900
 
3.3%
Other values (42) 38863
44.1%
Common
ValueCountFrequency (%)
17497
53.9%
/ 11298
34.8%
) 566
 
1.7%
( 566
 
1.7%
1 401
 
1.2%
0 261
 
0.8%
2 239
 
0.7%
- 232
 
0.7%
. 205
 
0.6%
3 168
 
0.5%
Other values (19) 1054
 
3.2%
Han
ValueCountFrequency (%)
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Other values (3) 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120544
68.2%
Hangul 56241
31.8%
Compat Jamo 19
 
< 0.1%
CJK 14
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17497
 
14.5%
/ 11298
 
9.4%
e 7258
 
6.0%
a 6721
 
5.6%
o 6585
 
5.5%
n 4966
 
4.1%
i 4735
 
3.9%
r 4250
 
3.5%
l 4055
 
3.4%
s 3958
 
3.3%
Other values (70) 49221
40.8%
Hangul
ValueCountFrequency (%)
3070
 
5.5%
2885
 
5.1%
1279
 
2.3%
1230
 
2.2%
1087
 
1.9%
1050
 
1.9%
857
 
1.5%
856
 
1.5%
771
 
1.4%
739
 
1.3%
Other values (1024) 42417
75.4%
Compat Jamo
ValueCountFrequency (%)
4
21.1%
3
15.8%
2
10.5%
2
10.5%
2
10.5%
2
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
CJK
ValueCountFrequency (%)
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Other values (3) 3
21.4%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct9929
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:43:26.469013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length204
Median length125
Mean length20.6142
Min length1

Characters and Unicode

Total characters206142
Distinct characters331
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9902 ?
Unique (%)99.0%

Sample

1st rowritdivita.com
2nd rowwww.hyugaday.com
3rd rowtangerine1.co.kr
4th rowwww.sinbiun.com
5th rowwww.humber.co.kr
ValueCountFrequency (%)
www.subway.co.kr 18
 
0.2%
17
 
0.2%
www.uvmembers.com 13
 
0.1%
www.dreamdepot.co.kr 7
 
0.1%
http://wellstudy.yoons.com 6
 
0.1%
www.zasperomall.com 5
 
< 0.1%
wellstudy.yoons.com 4
 
< 0.1%
www.thehandsome.com 3
 
< 0.1%
http://hairshop.kakao.com 3
 
< 0.1%
www.yoons.com 3
 
< 0.1%
Other values (9936) 9961
99.2%
2024-05-04T04:43:27.388499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 21499
 
10.4%
w 20506
 
9.9%
o 17537
 
8.5%
t 12273
 
6.0%
c 11963
 
5.8%
r 10931
 
5.3%
e 9754
 
4.7%
a 9303
 
4.5%
m 9066
 
4.4%
/ 8954
 
4.3%
Other values (321) 74356
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 164761
79.9%
Other Punctuation 33967
 
16.5%
Decimal Number 4715
 
2.3%
Dash Punctuation 897
 
0.4%
Uppercase Letter 888
 
0.4%
Other Letter 543
 
0.3%
Connector Punctuation 223
 
0.1%
Math Symbol 86
 
< 0.1%
Space Separator 61
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
4.1%
16
 
2.9%
13
 
2.4%
12
 
2.2%
11
 
2.0%
9
 
1.7%
8
 
1.5%
8
 
1.5%
7
 
1.3%
7
 
1.3%
Other values (242) 430
79.2%
Lowercase Letter
ValueCountFrequency (%)
w 20506
12.4%
o 17537
 
10.6%
t 12273
 
7.4%
c 11963
 
7.3%
r 10931
 
6.6%
e 9754
 
5.9%
a 9303
 
5.6%
m 9066
 
5.5%
s 8466
 
5.1%
k 6776
 
4.1%
Other values (16) 48186
29.2%
Uppercase Letter
ValueCountFrequency (%)
E 74
 
8.3%
C 72
 
8.1%
A 57
 
6.4%
B 54
 
6.1%
D 54
 
6.1%
S 46
 
5.2%
T 39
 
4.4%
L 38
 
4.3%
N 35
 
3.9%
W 35
 
3.9%
Other values (16) 384
43.2%
Other Punctuation
ValueCountFrequency (%)
. 21499
63.3%
/ 8954
26.4%
: 3295
 
9.7%
% 98
 
0.3%
? 47
 
0.1%
& 39
 
0.1%
, 14
 
< 0.1%
@ 7
 
< 0.1%
# 5
 
< 0.1%
* 5
 
< 0.1%
Other values (2) 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 722
15.3%
1 676
14.3%
4 649
13.8%
0 545
11.6%
3 396
8.4%
9 389
8.3%
8 378
8.0%
5 365
7.7%
7 318
6.7%
6 277
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 897
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 223
100.0%
Math Symbol
ValueCountFrequency (%)
= 86
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 165649
80.4%
Common 39950
 
19.4%
Hangul 543
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
4.1%
16
 
2.9%
13
 
2.4%
12
 
2.2%
11
 
2.0%
9
 
1.7%
8
 
1.5%
8
 
1.5%
7
 
1.3%
7
 
1.3%
Other values (242) 430
79.2%
Latin
ValueCountFrequency (%)
w 20506
12.4%
o 17537
 
10.6%
t 12273
 
7.4%
c 11963
 
7.2%
r 10931
 
6.6%
e 9754
 
5.9%
a 9303
 
5.6%
m 9066
 
5.5%
s 8466
 
5.1%
k 6776
 
4.1%
Other values (42) 49074
29.6%
Common
ValueCountFrequency (%)
. 21499
53.8%
/ 8954
22.4%
: 3295
 
8.2%
- 897
 
2.2%
2 722
 
1.8%
1 676
 
1.7%
4 649
 
1.6%
0 545
 
1.4%
3 396
 
1.0%
9 389
 
1.0%
Other values (17) 1928
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205599
99.7%
Hangul 543
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 21499
 
10.5%
w 20506
 
10.0%
o 17537
 
8.5%
t 12273
 
6.0%
c 11963
 
5.8%
r 10931
 
5.3%
e 9754
 
4.7%
a 9303
 
4.5%
m 9066
 
4.4%
/ 8954
 
4.4%
Other values (69) 73813
35.9%
Hangul
ValueCountFrequency (%)
22
 
4.1%
16
 
2.9%
13
 
2.4%
12
 
2.2%
11
 
2.0%
9
 
1.7%
8
 
1.5%
8
 
1.5%
7
 
1.3%
7
 
1.3%
Other values (242) 430
79.2%
Distinct9495
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:43:27.920307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length64
Mean length15.9304
Min length4

Characters and Unicode

Total characters159304
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9383 ?
Unique (%)93.8%

Sample

1st row070-8832-7757
2nd row02-3473-0841
3rd row010-2393-0717
4th row070-7600-9624
5th row1599-8161
ValueCountFrequency (%)
확인안됨 296
 
3.0%
1668-3651 77
 
0.8%
02-783-8910 5
 
< 0.1%
1544-6233 5
 
< 0.1%
010-2751-0133 5
 
< 0.1%
070-7582-2999 4
 
< 0.1%
02-716-3799 4
 
< 0.1%
010-9873-3853 4
 
< 0.1%
02-925-0477/070-7629-9998 3
 
< 0.1%
1544-3155 3
 
< 0.1%
Other values (9485) 9594
95.9%
2024-05-04T04:43:29.014841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27616
17.3%
- 24575
15.4%
2 16914
10.6%
1 13758
8.6%
7 12872
8.1%
5 10757
 
6.8%
8 10056
 
6.3%
6 9955
 
6.2%
3 9932
 
6.2%
4 9877
 
6.2%
Other values (9) 12992
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130157
81.7%
Dash Punctuation 24575
 
15.4%
Other Punctuation 3278
 
2.1%
Other Letter 1184
 
0.7%
Math Symbol 95
 
0.1%
Control 15
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27616
21.2%
2 16914
13.0%
1 13758
10.6%
7 12872
9.9%
5 10757
 
8.3%
8 10056
 
7.7%
6 9955
 
7.6%
3 9932
 
7.6%
4 9877
 
7.6%
9 8420
 
6.5%
Other Letter
ValueCountFrequency (%)
296
25.0%
296
25.0%
296
25.0%
296
25.0%
Math Symbol
ValueCountFrequency (%)
~ 94
98.9%
+ 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 24575
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3278
100.0%
Control
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158120
99.3%
Hangul 1184
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27616
17.5%
- 24575
15.5%
2 16914
10.7%
1 13758
8.7%
7 12872
8.1%
5 10757
 
6.8%
8 10056
 
6.4%
6 9955
 
6.3%
3 9932
 
6.3%
4 9877
 
6.2%
Other values (5) 11808
7.5%
Hangul
ValueCountFrequency (%)
296
25.0%
296
25.0%
296
25.0%
296
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158120
99.3%
Hangul 1184
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27616
17.5%
- 24575
15.5%
2 16914
10.7%
1 13758
8.7%
7 12872
8.1%
5 10757
 
6.8%
8 10056
 
6.4%
6 9955
 
6.3%
3 9932
 
6.3%
4 9877
 
6.2%
Other values (5) 11808
7.5%
Hangul
ValueCountFrequency (%)
296
25.0%
296
25.0%
296
25.0%
296
25.0%
Distinct9831
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:43:29.712789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length19.5191
Min length4

Characters and Unicode

Total characters195191
Distinct characters76
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9702 ?
Unique (%)97.0%

Sample

1st rowCS@ritdivita.com
2nd rowkilsystem@naver.com
3rd rowkimnooni@naver.com
4th rowfortune1312@naver.com
5th rowhumber8161@naver.com
ValueCountFrequency (%)
확인안됨 9
 
0.1%
info@zaspero.com 6
 
0.1%
help@smartdongs.com 5
 
< 0.1%
uuuh@naver.com 5
 
< 0.1%
jclgift@naver.com 4
 
< 0.1%
online@egmshop.com 4
 
< 0.1%
webma@exatek.net 4
 
< 0.1%
herbfull@nate.com 4
 
< 0.1%
hspixy@gmail.com 4
 
< 0.1%
help@delpha.co.kr 3
 
< 0.1%
Other values (9828) 9963
99.5%
2024-05-04T04:43:31.050814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 17473
 
9.0%
a 15619
 
8.0%
e 14106
 
7.2%
m 13551
 
6.9%
n 12612
 
6.5%
c 12449
 
6.4%
. 11831
 
6.1%
r 10893
 
5.6%
@ 9991
 
5.1%
i 8671
 
4.4%
Other values (66) 67995
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 160800
82.4%
Other Punctuation 21825
 
11.2%
Decimal Number 10250
 
5.3%
Uppercase Letter 1197
 
0.6%
Connector Punctuation 485
 
0.2%
Dash Punctuation 394
 
0.2%
Space Separator 200
 
0.1%
Other Letter 36
 
< 0.1%
Control 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 17473
10.9%
a 15619
 
9.7%
e 14106
 
8.8%
m 13551
 
8.4%
n 12612
 
7.8%
c 12449
 
7.7%
r 10893
 
6.8%
i 8671
 
5.4%
l 7194
 
4.5%
s 5911
 
3.7%
Other values (16) 42321
26.3%
Uppercase Letter
ValueCountFrequency (%)
O 137
11.4%
E 94
 
7.9%
C 93
 
7.8%
A 91
 
7.6%
M 90
 
7.5%
I 89
 
7.4%
N 74
 
6.2%
R 70
 
5.8%
S 68
 
5.7%
L 60
 
5.0%
Other values (16) 331
27.7%
Decimal Number
ValueCountFrequency (%)
0 1818
17.7%
1 1702
16.6%
2 1444
14.1%
7 914
8.9%
3 898
8.8%
9 776
7.6%
8 725
 
7.1%
4 690
 
6.7%
5 675
 
6.6%
6 608
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 11831
54.2%
@ 9991
45.8%
: 2
 
< 0.1%
? 1
 
< 0.1%
Other Letter
ValueCountFrequency (%)
9
25.0%
9
25.0%
9
25.0%
9
25.0%
Space Separator
ValueCountFrequency (%)
199
99.5%
  1
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 161997
83.0%
Common 33158
 
17.0%
Hangul 36
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 17473
10.8%
a 15619
 
9.6%
e 14106
 
8.7%
m 13551
 
8.4%
n 12612
 
7.8%
c 12449
 
7.7%
r 10893
 
6.7%
i 8671
 
5.4%
l 7194
 
4.4%
s 5911
 
3.6%
Other values (42) 43518
26.9%
Common
ValueCountFrequency (%)
. 11831
35.7%
@ 9991
30.1%
0 1818
 
5.5%
1 1702
 
5.1%
2 1444
 
4.4%
7 914
 
2.8%
3 898
 
2.7%
9 776
 
2.3%
8 725
 
2.2%
4 690
 
2.1%
Other values (10) 2369
 
7.1%
Hangul
ValueCountFrequency (%)
9
25.0%
9
25.0%
9
25.0%
9
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195154
> 99.9%
Hangul 36
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 17473
 
9.0%
a 15619
 
8.0%
e 14106
 
7.2%
m 13551
 
6.9%
n 12612
 
6.5%
c 12449
 
6.4%
. 11831
 
6.1%
r 10893
 
5.6%
@ 9991
 
5.1%
i 8671
 
4.4%
Other values (61) 67958
34.8%
Hangul
ValueCountFrequency (%)
9
25.0%
9
25.0%
9
25.0%
9
25.0%
None
ValueCountFrequency (%)
  1
100.0%

통신판매번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업형태
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반쇼핑몰
7547 
콘텐츠.서비스
792 
오픈마켓
 
607
청약유인
 
414
온라인학습
 
347
Other values (4)
 
293

Length

Max length15
Median length6
Mean length6.1072
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 일반쇼핑몰
2nd row 중개
3rd row 일반쇼핑몰
4th row 콘텐츠.서비스
5th row 일반쇼핑몰

Common Values

ValueCountFrequency (%)
일반쇼핑몰 7547
75.5%
콘텐츠.서비스 792
 
7.9%
오픈마켓 607
 
6.1%
청약유인 414
 
4.1%
온라인학습 347
 
3.5%
해외구매대행 101
 
1.0%
카페,블로그(카카오스토리) 82
 
0.8%
중개 77
 
0.8%
기타 33
 
0.3%

Length

2024-05-04T04:43:31.649562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:32.063015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반쇼핑몰 7547
75.5%
콘텐츠.서비스 792
 
7.9%
오픈마켓 607
 
6.1%
청약유인 414
 
4.1%
온라인학습 347
 
3.5%
해외구매대행 101
 
1.0%
카페,블로그(카카오스토리 82
 
0.8%
중개 77
 
0.8%
기타 33
 
0.3%
Distinct3173
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1899-12-30 00:00:00
Maximum2024-04-24 00:00:00
2024-05-04T04:43:32.550082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:43:33.051053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct9712
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:43:34.139188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length55
Mean length29.7101
Min length4

Characters and Unicode

Total characters297101
Distinct characters710
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9629 ?
Unique (%)96.3%

Sample

1st row서울특별시 영등포구 국회대로36길 6-1 다 623호
2nd row서울특별시 서초구 반포대로28길 21-7
3rd row서울특별시 송파구 가락로5길 32 (석촌동) 101호
4th row서울특별시 관악구 승방1길 5, 2층(남현동, 소프트하우스)
5th row서울특별시 송파구 충민로 52 (가든파이브웍스) A동 308호
ValueCountFrequency (%)
서울특별시 8069
 
13.6%
강남구 1467
 
2.5%
서울시 1186
 
2.0%
2층 873
 
1.5%
1층 799
 
1.3%
서초구 753
 
1.3%
중구 745
 
1.3%
마포구 679
 
1.1%
3층 640
 
1.1%
종로구 581
 
1.0%
Other values (12988) 43409
73.3%
2024-05-04T04:43:35.996607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50079
 
16.9%
1 13879
 
4.7%
11913
 
4.0%
10583
 
3.6%
9975
 
3.4%
9829
 
3.3%
9665
 
3.3%
2 9130
 
3.1%
8256
 
2.8%
8104
 
2.7%
Other values (700) 155688
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168596
56.7%
Decimal Number 58809
 
19.8%
Space Separator 50079
 
16.9%
Open Punctuation 4979
 
1.7%
Close Punctuation 4972
 
1.7%
Other Punctuation 4161
 
1.4%
Dash Punctuation 2817
 
0.9%
Uppercase Letter 2200
 
0.7%
Lowercase Letter 359
 
0.1%
Math Symbol 73
 
< 0.1%
Other values (3) 56
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11913
 
7.1%
10583
 
6.3%
9975
 
5.9%
9829
 
5.8%
9665
 
5.7%
8256
 
4.9%
8104
 
4.8%
8102
 
4.8%
4833
 
2.9%
4719
 
2.8%
Other values (616) 82617
49.0%
Uppercase Letter
ValueCountFrequency (%)
B 485
22.0%
A 272
12.4%
F 208
9.5%
S 154
 
7.0%
K 132
 
6.0%
C 124
 
5.6%
T 109
 
5.0%
I 86
 
3.9%
D 73
 
3.3%
E 60
 
2.7%
Other values (16) 497
22.6%
Lowercase Letter
ValueCountFrequency (%)
e 68
18.9%
r 37
10.3%
n 30
8.4%
t 29
8.1%
o 29
8.1%
a 25
 
7.0%
c 23
 
6.4%
s 21
 
5.8%
b 21
 
5.8%
w 14
 
3.9%
Other values (15) 62
17.3%
Decimal Number
ValueCountFrequency (%)
1 13879
23.6%
2 9130
15.5%
3 6624
11.3%
0 6562
11.2%
4 5048
 
8.6%
5 4502
 
7.7%
6 3959
 
6.7%
7 3422
 
5.8%
8 3010
 
5.1%
9 2673
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 4060
97.6%
/ 38
 
0.9%
. 37
 
0.9%
# 9
 
0.2%
& 8
 
0.2%
? 4
 
0.1%
: 3
 
0.1%
' 1
 
< 0.1%
1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
17
70.8%
4
 
16.7%
2
 
8.3%
1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 4977
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4970
> 99.9%
] 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 71
97.3%
| 2
 
2.7%
Space Separator
ValueCountFrequency (%)
50079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2817
100.0%
Control
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168596
56.7%
Common 125921
42.4%
Latin 2583
 
0.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11913
 
7.1%
10583
 
6.3%
9975
 
5.9%
9829
 
5.8%
9665
 
5.7%
8256
 
4.9%
8104
 
4.8%
8102
 
4.8%
4833
 
2.9%
4719
 
2.8%
Other values (616) 82617
49.0%
Latin
ValueCountFrequency (%)
B 485
18.8%
A 272
 
10.5%
F 208
 
8.1%
S 154
 
6.0%
K 132
 
5.1%
C 124
 
4.8%
T 109
 
4.2%
I 86
 
3.3%
D 73
 
2.8%
e 68
 
2.6%
Other values (45) 872
33.8%
Common
ValueCountFrequency (%)
50079
39.8%
1 13879
 
11.0%
2 9130
 
7.3%
3 6624
 
5.3%
0 6562
 
5.2%
4 5048
 
4.0%
( 4977
 
4.0%
) 4970
 
3.9%
5 4502
 
3.6%
, 4060
 
3.2%
Other values (18) 16090
 
12.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168595
56.7%
ASCII 128479
43.2%
Number Forms 24
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50079
39.0%
1 13879
 
10.8%
2 9130
 
7.1%
3 6624
 
5.2%
0 6562
 
5.1%
4 5048
 
3.9%
( 4977
 
3.9%
) 4970
 
3.9%
5 4502
 
3.5%
, 4060
 
3.2%
Other values (68) 18648
 
14.5%
Hangul
ValueCountFrequency (%)
11913
 
7.1%
10583
 
6.3%
9975
 
5.9%
9829
 
5.8%
9665
 
5.7%
8256
 
4.9%
8104
 
4.8%
8102
 
4.8%
4833
 
2.9%
4719
 
2.8%
Other values (615) 82616
49.0%
Number Forms
ValueCountFrequency (%)
17
70.8%
4
 
16.7%
2
 
8.3%
1
 
4.2%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK
ValueCountFrequency (%)
1
100.0%

업소상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2024-05-04T04:43:36.516285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:36.890782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

업소상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 10000
100.0%

Length

2024-05-04T04:43:37.279219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:37.633465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 10000
100.0%

전체평가
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
5170 
3
3693 
1
936 
0
 
201

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 5170
51.7%
3 3693
36.9%
1 936
 
9.4%
0 201
 
2.0%

Length

2024-05-04T04:43:37.980713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:38.308711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5170
51.7%
3 3693
36.9%
1 936
 
9.4%
0 201
 
2.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
5809 
3
3807 
1
 
273
0
 
111

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 5809
58.1%
3 3807
38.1%
1 273
 
2.7%
0 111
 
1.1%

Length

2024-05-04T04:43:38.741779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:39.127216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5809
58.1%
3 3807
38.1%
1 273
 
2.7%
0 111
 
1.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5481 
1
3051 
0
1468 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
3 5481
54.8%
1 3051
30.5%
0 1468
 
14.7%

Length

2024-05-04T04:43:39.558948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:40.321283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5481
54.8%
1 3051
30.5%
0 1468
 
14.7%

결재방법평가
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8354 
1
1287 
0
 
359

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 8354
83.5%
1 1287
 
12.9%
0 359
 
3.6%

Length

2024-05-04T04:43:40.740171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:41.051000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8354
83.5%
1 1287
 
12.9%
0 359
 
3.6%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8092 
1
1573 
0
 
335

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 8092
80.9%
1 1573
 
15.7%
0 335
 
3.4%

Length

2024-05-04T04:43:41.447788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:41.818946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8092
80.9%
1 1573
 
15.7%
0 335
 
3.4%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8092 
1
1573 
0
 
335

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 8092
80.9%
1 1573
 
15.7%
0 335
 
3.4%

Length

2024-05-04T04:43:42.248463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:42.615187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8092
80.9%
1 1573
 
15.7%
0 335
 
3.4%

주요취급품목
Text

MISSING 

Distinct954
Distinct (%)10.2%
Missing680
Missing (%)6.8%
Memory size156.2 KiB
2024-05-04T04:43:43.178509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length149
Mean length16.805472
Min length3

Characters and Unicode

Total characters156627
Distinct characters99
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

Unique616 ?
Unique (%)6.6%

Sample

1st row 가구/생활/주방
2nd row 예매.예약서비스
3rd row 의류 신발/가방/패션잡화/귀금속
4th row 상담 및 정보제공
5th row 의류 신발/가방/패션잡화/귀금속
ValueCountFrequency (%)
신발/가방/패션잡화/귀금속 3144
15.2%
의류 2407
 
11.6%
가구/생활/주방 2252
 
10.9%
기타 1448
 
7.0%
화장품/향수 920
 
4.4%
식품 839
 
4.1%
건강용퓸/의료기기 833
 
4.0%
사무용전기제품/사무용기기 750
 
3.6%
가전용전기제품/영상 738
 
3.6%
생활 738
 
3.6%
Other values (24) 6637
32.1%
2024-05-04T04:43:44.402189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 21056
 
13.4%
20706
 
13.2%
7723
 
4.9%
6165
 
3.9%
5396
 
3.4%
4643
 
3.0%
3527
 
2.3%
3351
 
2.1%
3242
 
2.1%
3149
 
2.0%
Other values (89) 77669
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113683
72.6%
Other Punctuation 22238
 
14.2%
Space Separator 20706
 
13.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7723
 
6.8%
6165
 
5.4%
5396
 
4.7%
4643
 
4.1%
3527
 
3.1%
3351
 
2.9%
3242
 
2.9%
3149
 
2.8%
3144
 
2.8%
3144
 
2.8%
Other values (85) 70199
61.7%
Other Punctuation
ValueCountFrequency (%)
/ 21056
94.7%
, 738
 
3.3%
. 444
 
2.0%
Space Separator
ValueCountFrequency (%)
20706
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113683
72.6%
Common 42944
 
27.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7723
 
6.8%
6165
 
5.4%
5396
 
4.7%
4643
 
4.1%
3527
 
3.1%
3351
 
2.9%
3242
 
2.9%
3149
 
2.8%
3144
 
2.8%
3144
 
2.8%
Other values (85) 70199
61.7%
Common
ValueCountFrequency (%)
/ 21056
49.0%
20706
48.2%
, 738
 
1.7%
. 444
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113683
72.6%
ASCII 42944
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 21056
49.0%
20706
48.2%
, 738
 
1.7%
. 444
 
1.0%
Hangul
ValueCountFrequency (%)
7723
 
6.8%
6165
 
5.4%
5396
 
4.7%
4643
 
4.1%
3527
 
3.1%
3351
 
2.9%
3242
 
2.9%
3149
 
2.8%
3144
 
2.8%
3144
 
2.8%
Other values (85) 70199
61.7%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가능
4733 
가능하나 일부품목제외, 기간축소
3007 
청약철회 안됨
1130 
철회대상 품목 취급하지 않음
624 
아무런 표시 없음
 
338
Other values (3)
 
168

Length

Max length17
Median length15
Mean length8.2731
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row가능
2nd row가능하나 일부품목제외, 기간축소
3rd row청약철회 안됨
4th row아무런 표시 없음
5th row가능하나 일부품목제외, 기간축소

Common Values

ValueCountFrequency (%)
가능 4733
47.3%
가능하나 일부품목제외, 기간축소 3007
30.1%
청약철회 안됨 1130
 
11.3%
철회대상 품목 취급하지 않음 624
 
6.2%
아무런 표시 없음 338
 
3.4%
소비자분쟁해결기준 제시 124
 
1.2%
기간 확인 안됨 43
 
0.4%
기타 1
 
< 0.1%

Length

2024-05-04T04:43:44.805537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:45.433684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 4733
23.8%
일부품목제외 3007
15.1%
기간축소 3007
15.1%
가능하나 3007
15.1%
안됨 1173
 
5.9%
청약철회 1130
 
5.7%
취급하지 624
 
3.1%
않음 624
 
3.1%
품목 624
 
3.1%
철회대상 624
 
3.1%
Other values (8) 1349
 
6.8%
Distinct175
Distinct (%)1.8%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2024-05-04T04:43:46.073764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length54
Mean length49.496647
Min length3

Characters and Unicode

Total characters494521
Distinct characters32
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)0.6%

Sample

1st row 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호
2nd row 상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자
3rd row 상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호
4th row 상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호
5th row 상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자
ValueCountFrequency (%)
상호 9926
11.7%
소재지 9694
11.4%
사업자등록번호 9682
11.4%
대표자 9579
11.3%
전화번호 9365
11.1%
통신판매신고번호 9246
10.9%
사이버몰이용약관 9058
10.7%
전자우편주소 8646
10.2%
호스팅 4764
5.6%
사업자 4764
5.6%
2024-05-04T04:43:47.963336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84724
17.1%
42983
 
8.7%
32671
 
6.6%
28293
 
5.7%
23504
 
4.8%
18492
 
3.7%
18340
 
3.7%
18116
 
3.7%
18011
 
3.6%
14446
 
2.9%
Other values (22) 194941
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409797
82.9%
Space Separator 84724
 
17.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42983
 
10.5%
32671
 
8.0%
28293
 
6.9%
23504
 
5.7%
18492
 
4.5%
18340
 
4.5%
18116
 
4.4%
18011
 
4.4%
14446
 
3.5%
9926
 
2.4%
Other values (21) 185015
45.1%
Space Separator
ValueCountFrequency (%)
84724
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409797
82.9%
Common 84724
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42983
 
10.5%
32671
 
8.0%
28293
 
6.9%
23504
 
5.7%
18492
 
4.5%
18340
 
4.5%
18116
 
4.4%
18011
 
4.4%
14446
 
3.5%
9926
 
2.4%
Other values (21) 185015
45.1%
Common
ValueCountFrequency (%)
84724
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409797
82.9%
ASCII 84724
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84724
100.0%
Hangul
ValueCountFrequency (%)
42983
 
10.5%
32671
 
8.0%
28293
 
6.9%
23504
 
5.7%
18492
 
4.5%
18340
 
4.5%
18116
 
4.4%
18011
 
4.4%
14446
 
3.5%
9926
 
2.4%
Other values (21) 185015
45.1%

결제방법
Categorical

IMBALANCE 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타
4355 
현금입금(무통장,계좌이체등) 신용카드 간편결제 기타
2271 
현금입금(무통장,계좌이체등) 신용카드 간편결제
965 
현금입금(무통장,계좌이체등)
716 
현금입금(무통장,계좌이체등) 신용카드 기타
 
383
Other values (40)
1310 

Length

Max length41
Median length38
Mean length28.2611
Min length4

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row 현금입금(무통장,계좌이체등) 신용카드 기타
2nd row 현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰
3rd row 현금입금(무통장,계좌이체등) 신용카드 기타
4th row 현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰
5th row 현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타

Common Values

ValueCountFrequency (%)
현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타 4355
43.5%
현금입금(무통장,계좌이체등) 신용카드 간편결제 기타 2271
22.7%
현금입금(무통장,계좌이체등) 신용카드 간편결제 965
 
9.7%
현금입금(무통장,계좌이체등) 716
 
7.2%
현금입금(무통장,계좌이체등) 신용카드 기타 383
 
3.8%
현금입금(무통장,계좌이체등) 신용카드 339
 
3.4%
현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 228
 
2.3%
신용카드 간편결제 141
 
1.4%
현금입금(무통장,계좌이체등) 기타 133
 
1.3%
현금입금(무통장,계좌이체등) 신용카드 휴대폰 기타 99
 
1.0%
Other values (35) 370
 
3.7%

Length

2024-05-04T04:43:48.936180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
현금입금(무통장,계좌이체등 9647
24.6%
신용카드 9119
23.2%
간편결제 8143
20.7%
기타 7415
18.9%
휴대폰 4825
12.3%
상품권 62
 
0.2%
ars 39
 
0.1%

이용약관준수정도
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
표준약관 사용
7521 
자체약관 사용
2104 
약관 없음
 
335
소비자분쟁해결기준 제시
 
40

Length

Max length12
Median length7
Mean length6.953
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row표준약관 사용
2nd row자체약관 사용
3rd row표준약관 사용
4th row자체약관 사용
5th row표준약관 사용

Common Values

ValueCountFrequency (%)
표준약관 사용 7521
75.2%
자체약관 사용 2104
 
21.0%
약관 없음 335
 
3.4%
소비자분쟁해결기준 제시 40
 
0.4%

Length

2024-05-04T04:43:49.750526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:50.212052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용 9625
48.1%
표준약관 7521
37.6%
자체약관 2104
 
10.5%
약관 335
 
1.7%
없음 335
 
1.7%
소비자분쟁해결기준 40
 
0.2%
제시 40
 
0.2%

개인정보취급방침
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
초기화면표시
9234 
초기화면이외에 표시(초기화면 미표시, 이용약관에 표시)
 
498
개인정보취급방침 없음
 
241
정보관리자만 지정
 
27

Length

Max length30
Median length6
Mean length7.3238
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초기화면표시 9234
92.3%
초기화면이외에 표시(초기화면 미표시, 이용약관에 표시) 498
 
5.0%
개인정보취급방침 없음 241
 
2.4%
정보관리자만 지정 27
 
0.3%

Length

2024-05-04T04:43:50.812455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:51.220405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초기화면표시 9234
75.3%
초기화면이외에 498
 
4.1%
표시(초기화면 498
 
4.1%
미표시 498
 
4.1%
이용약관에 498
 
4.1%
표시 498
 
4.1%
개인정보취급방침 241
 
2.0%
없음 241
 
2.0%
정보관리자만 27
 
0.2%
지정 27
 
0.2%
Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9442 
회원가입하기 없음
 
504
직업
 
23
주민등록번호
 
8
결혼여부
 
4
Other values (14)
 
19

Length

Max length22
Median length4
Mean length4.3097
Min length2

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9442
94.4%
회원가입하기 없음 504
 
5.0%
직업 23
 
0.2%
주민등록번호 8
 
0.1%
결혼여부 4
 
< 0.1%
결혼여부 직업 3
 
< 0.1%
사업자등록번호 3
 
< 0.1%
환불계좌 2
 
< 0.1%
직업근무처 1
 
< 0.1%
업체상호명 1
 
< 0.1%
Other values (9) 9
 
0.1%

Length

2024-05-04T04:43:51.751152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9442
89.8%
없음 504
 
4.8%
회원가입하기 504
 
4.8%
직업 26
 
0.2%
주민등록번호 8
 
0.1%
결혼여부 8
 
0.1%
사업자등록번호 3
 
< 0.1%
환불계좌 2
 
< 0.1%
직업근무지역 1
 
< 0.1%
면허번호 1
 
< 0.1%
Other values (15) 15
 
0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
에스크로제도
6878 
구매안전서비스없음
1646 
해당사항없음
1476 

Length

Max length9
Median length6
Mean length6.4938
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row에스크로제도
2nd row해당사항없음
3rd row구매안전서비스없음
4th row해당사항없음
5th row에스크로제도

Common Values

ValueCountFrequency (%)
에스크로제도 6878
68.8%
구매안전서비스없음 1646
 
16.5%
해당사항없음 1476
 
14.8%

Length

2024-05-04T04:43:52.341331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:52.778256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
에스크로제도 6878
68.8%
구매안전서비스없음 1646
 
16.5%
해당사항없음 1476
 
14.8%

보안서버설치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

인증마크
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
있다
8213 
해당사항 없음
1311 
없다
 
476

Length

Max length7
Median length2
Mean length2.6555
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row있다
2nd row해당사항 없음
3rd row있다
4th row해당사항 없음
5th row있다

Common Values

ValueCountFrequency (%)
있다 8213
82.1%
해당사항 없음 1311
 
13.1%
없다 476
 
4.8%

Length

2024-05-04T04:43:53.226348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:53.679188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있다 8213
72.6%
해당사항 1311
 
11.6%
없음 1311
 
11.6%
없다 476
 
4.2%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소비자(왕복택배비 부담)
3534 
소비자(반품택배비만 부담)
3262 
해당 없음
1797 
철회 안 됨
1068 
부담자 알 수 없음
 
319

Length

Max length14
Median length13
Mean length11.0253
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소비자(왕복택배비 부담)
2nd row해당 없음
3rd row철회 안 됨
4th row해당 없음
5th row소비자(왕복택배비 부담)

Common Values

ValueCountFrequency (%)
소비자(왕복택배비 부담) 3534
35.3%
소비자(반품택배비만 부담) 3262
32.6%
해당 없음 1797
18.0%
철회 안 됨 1068
 
10.7%
부담자 알 수 없음 319
 
3.2%
판매처 20
 
0.2%

Length

2024-05-04T04:43:54.205000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:54.661220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부담 6796
31.3%
소비자(왕복택배비 3534
16.3%
소비자(반품택배비만 3262
15.0%
없음 2116
 
9.8%
해당 1797
 
8.3%
철회 1068
 
4.9%
1068
 
4.9%
1068
 
4.9%
부담자 319
 
1.5%
319
 
1.5%
Other values (2) 339
 
1.6%

고객불만게시판운영
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
있다(공개)
8347 
있다(비공개)
1056 
게시판 없음
 
488
회원가입시 이용가능
 
109

Length

Max length10
Median length6
Mean length6.1492
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row있다(비공개)
2nd row게시판 없음
3rd row있다(공개)
4th row게시판 없음
5th row있다(공개)

Common Values

ValueCountFrequency (%)
있다(공개) 8347
83.5%
있다(비공개) 1056
 
10.6%
게시판 없음 488
 
4.9%
회원가입시 이용가능 109
 
1.1%

Length

2024-05-04T04:43:55.160480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:55.844560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있다(공개 8347
78.8%
있다(비공개 1056
 
10.0%
게시판 488
 
4.6%
없음 488
 
4.6%
회원가입시 109
 
1.0%
이용가능 109
 
1.0%

회원탈퇴방법
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
회원탈퇴 가능
8477 
회원가입이 없다
 
504
약관에만 있고 탈퇴방법 확인 불가능
 
389
업체 확인후 탈퇴처리
 
317
회원탈퇴 불가능
 
198

Length

Max length19
Median length7
Mean length7.6408
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row회원탈퇴 가능
2nd row회원탈퇴 가능
3rd row회원탈퇴 가능
4th row회원탈퇴 가능
5th row약관에만 있고 탈퇴방법 확인 불가능

Common Values

ValueCountFrequency (%)
회원탈퇴 가능 8477
84.8%
회원가입이 없다 504
 
5.0%
약관에만 있고 탈퇴방법 확인 불가능 389
 
3.9%
업체 확인후 탈퇴처리 317
 
3.2%
회원탈퇴 불가능 198
 
2.0%
확인 안됨 115
 
1.1%

Length

2024-05-04T04:43:56.288827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:43:56.642521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회원탈퇴 8675
40.4%
가능 8477
39.5%
불가능 587
 
2.7%
회원가입이 504
 
2.3%
없다 504
 
2.3%
확인 504
 
2.3%
약관에만 389
 
1.8%
있고 389
 
1.8%
탈퇴방법 389
 
1.8%
업체 317
 
1.5%
Other values (3) 749
 
3.5%
Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
알수없음
5740 
2023
 
559
2022
 
424
2021
 
361
2020
 
339
Other values (32)
2577 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row알수없음
2nd row알수없음
3rd row알수없음
4th row알수없음
5th row2016

Common Values

ValueCountFrequency (%)
알수없음 5740
57.4%
2023 559
 
5.6%
2022 424
 
4.2%
2021 361
 
3.6%
2020 339
 
3.4%
2019 307
 
3.1%
2016 293
 
2.9%
2018 260
 
2.6%
2017 214
 
2.1%
2015 212
 
2.1%
Other values (27) 1291
 
12.9%

Length

2024-05-04T04:43:57.051553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
알수없음 5740
57.4%
2023 559
 
5.6%
2022 424
 
4.2%
2021 361
 
3.6%
2020 339
 
3.4%
2019 307
 
3.1%
2016 293
 
2.9%
2018 260
 
2.6%
2017 214
 
2.1%
2015 212
 
2.1%
Other values (27) 1291
 
12.9%
Distinct127
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-09-14 00:00:00
Maximum2024-03-29 00:00:00
2024-05-04T04:43:57.463365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:43:57.909757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

상호쇼핑몰명도메인명전화번호운영자이메일통신판매번호영업형태최초신고일자회사주소업소상태코드업소상태전체평가사업자정보표시평가청약철회평가결재방법평가이용약관평가개인정보보안평가주요취급품목청약철회가능여부초기화면필수항목중표시사항결제방법이용약관준수정도개인정보취급방침표준약관이상개인정보항목요구구매안전서비스보안서버설치인증마크배송예정일표시철회시배송비부담여부고객불만게시판운영회원탈퇴방법사이트개설년도모니터링날짜
14019리트모코퍼레이션주식회사리트디비타/ritdivitaritdivita.com070-8832-7757CS@ritdivita.com<NA>일반쇼핑몰2023-03-16서울특별시 영등포구 국회대로36길 6-1 다 623호1영업중323333가구/생활/주방가능대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(비공개)회원탈퇴 가능알수없음2023-10-16
2248케이아이엘시스템hyugaday/휴가데이www.hyugaday.com02-3473-0841kilsystem@naver.com<NA>중개2022-05-25서울특별시 서초구 반포대로28길 21-71영업중231311예매.예약서비스가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰자체약관 사용초기화면표시<NA>해당사항없음<NA><NA>해당사항 없음해당 없음게시판 없음회원탈퇴 가능알수없음2023-12-02
6540탠저린탠저린/tangerinetangerine1.co.kr010-2393-0717kimnooni@naver.com<NA>일반쇼핑몰2024-03-12서울특별시 송파구 가락로5길 32 (석촌동) 101호1영업중120133의류 신발/가방/패션잡화/귀금속청약철회 안됨상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 기타표준약관 사용초기화면표시<NA>구매안전서비스없음<NA><NA>있다철회 안 됨있다(공개)회원탈퇴 가능알수없음2023-11-19
9506(주)고든sinbiun/신비운/신비운닷컴/sinbiun.comwww.sinbiun.com070-7600-9624fortune1312@naver.com<NA>콘텐츠.서비스2013-12-13서울특별시 관악구 승방1길 5, 2층(남현동, 소프트하우스)1영업중220333상담 및 정보제공아무런 표시 없음상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰자체약관 사용초기화면표시<NA>해당사항없음<NA><NA>해당사항 없음해당 없음게시판 없음회원탈퇴 가능알수없음2023-11-07
11941험버라인(Humber Line)humber sukajan/험버 스카쟌/Humber/험버www.humber.co.kr1599-8161humber8161@naver.com<NA>일반쇼핑몰2017-08-08서울특별시 송파구 충민로 52 (가든파이브웍스) A동 308호1영업중231333의류 신발/가방/패션잡화/귀금속가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(공개)약관에만 있고 탈퇴방법 확인 불가능20162023-11-01
128365레저팻바이커/ fatbikefatbike.kr02-2212-2637/010-5756-7687bluecjo7@hanmail.net<NA>일반쇼핑몰2023-01-05서울특별시 도봉구 도봉산길 43 (도봉동 호정프라자 203,205호)1영업중230333레져/문화청약철회 안됨상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다철회 안 됨있다(공개)회원탈퇴 가능알수없음2024-01-31
7381도담도담 (아이디어스 입점)https://www.idus.com/w/artist/f5f92bdd-8a63-4136-84bb-8b94bf56cc981668-3651oyik114@naver.com<NA>오픈마켓2017-04-20서울 서초구 효령로61길 14-13 (서초동) 1층1영업중323333식품철회대상 품목 취급하지 않음상호 대표자 소재지 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다해당 없음있다(공개)회원탈퇴 가능알수없음2023-11-11
15480이벤트미소(게임연구소)게임연구소/gamerentalwww.gamerental.kr02-514-0775/02-514-0702jeagalrang@hanmail.net<NA>일반쇼핑몰2011-03-25서울특별시 양천구 남부순환로70길 2 2층1영업중231333레져/문화 기타가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능알수없음2023-10-12
6750온핸드on hand/온핸드http://onhand.kr010-4897-8822onhand@onhand.kr<NA>일반쇼핑몰2020-08-27서울특별시 중랑구 신내로 110 (신내동) 동성A 14-10071영업중333333출산/유아동/완구가능상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(반품택배비만 부담)있다(공개)회원탈퇴 가능알수없음2023-11-12
10031애니팬시anyfancy / 애니팬시http://anyfancy.co.kr02-545-2154fancy@anyfancy.co.kr<NA>청약유인2007-07-13서울특별시 도봉구 마들로 684-201영업중231333휴대폰 신발/가방/패션잡화/귀금속 가구/생활/주방 출산/유아동/완구 레져/문화 사무용전기제품/사무용기기가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능20032023-11-06
상호쇼핑몰명도메인명전화번호운영자이메일통신판매번호영업형태최초신고일자회사주소업소상태코드업소상태전체평가사업자정보표시평가청약철회평가결재방법평가이용약관평가개인정보보안평가주요취급품목청약철회가능여부초기화면필수항목중표시사항결제방법이용약관준수정도개인정보취급방침표준약관이상개인정보항목요구구매안전서비스보안서버설치인증마크배송예정일표시철회시배송비부담여부고객불만게시판운영회원탈퇴방법사이트개설년도모니터링날짜
1090클류치클류치https://buy.tosspayments.com/shops/mob_ANVZfgYwUf010-5560-9095contact@hopluvtng.co.kr<NA>일반쇼핑몰2022-06-16서울특별시 도봉구 도봉로169나길 67(도봉동) 201호1영업중120111의류청약철회 안됨상호 대표자 소재지 전화번호 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제자체약관 사용초기화면표시회원가입하기 없음구매안전서비스없음<NA><NA>있다철회 안 됨게시판 없음회원가입이 없다알수없음2023-12-09
11027(주)토너마트토너마트 / tonermartwww.tonermart.co.kr1688-2529/070-4267-2601chief@TONERMART.CO.KR<NA>일반쇼핑몰2016-09-28서울특별시 동대문구 장안동 427-5번지 4층1영업중231333컴퓨터 및 주변기기 / 소프트웨어 사무용전기제품/사무용기기가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능20202023-11-04
3333룻지(ROOTGEE)rokapala/로카팔라https://rokapala.com010-9189-6935wldnjs6935@naver.com<NA>일반쇼핑몰2022-05-10서울특별시 마포구 망원로8길 261영업중220333신발/가방/패션잡화/귀금속청약철회 안됨상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다철회 안 됨있다(공개)회원탈퇴 가능20222023-11-30
7769주식회사 코자필로소퍼/fhilosopherhttps://fhilosopher.com02-2135-9204fhilosopher.co@gmail.com<NA>일반쇼핑몰2023-02-21서울특별시 성동구 뚝섬로1길 63, 영창디지털타워 501호 (성수동1가)1영업중323333의류 신발/가방/패션잡화/귀금속가능상호 대표자 소재지 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(반품택배비만 부담)있다(비공개)회원탈퇴 가능알수없음2023-11-10
1448다즈다즈 / dazshttps://dazs.kr/확인안됨dazs.company@gmail.com<NA>일반쇼핑몰2022-05-31서울특별시 동대문구 천호대로 391, 605호(장안동, 보니타오피스텔)1영업중221333의류 신발/가방/패션잡화/귀금속가능하나 일부품목제외, 기간축소상호 대표자 소재지 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능20222023-12-04
5723다로피씨daropc / 다로피씨http://www.daropc.co.kr02-703-7731/010-5798-1235daro8530@nate.com<NA>일반쇼핑몰2021-03-08서울특별시 용산구 청파로 113-6, 914호(한강로2가, 넥서스밸리)1영업중231033컴퓨터 및 주변기기 / 소프트웨어가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 기타표준약관 사용초기화면표시<NA>구매안전서비스없음<NA><NA>있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능20192023-11-24
15756투니원투니원 / oonionewww.toonione.co.kr02-2201-4200master@toonione.co.kr<NA>일반쇼핑몰2007-11-07서울특멸시 강동구 암사동 496-39번지 1층1영업중220333신발/가방/패션잡화/귀금속 출산/유아동/완구 서적/음반/악기 사무용전기제품/사무용기기청약철회 안됨상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등)표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다철회 안 됨있다(공개)회원탈퇴 가능알수없음2023-10-11
11479차홍 룸 압구정차홍룸압구정점(네이버 예약 입점)https://booking.naver.com/booking/13/bizes/26135802-3444-6780kbs88129@naver.com<NA>오픈마켓2019-09-17서울특별시 강남구 신사동 660 2층(서울특별시 강남구 압구정로 324 2층)1영업중223311예매.예약서비스가능상호 대표자 소재지 전화번호 사업자등록번호 사이버몰이용약관 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타자체약관 사용초기화면표시<NA>해당사항없음<NA><NA>해당사항 없음해당 없음있다(공개)회원탈퇴 가능알수없음2023-11-02
5824주식회사 엠엔제이시스템mnjsystem / 엠엔제이시스템www.mnjsystem.com1661-1446mnj@mnjsystem.com<NA>일반쇼핑몰2021-06-04서울특별시 마포구 창전로2길 41 MK빌딩 1층1영업중333333컴퓨터 및 주변기기 / 소프트웨어가능상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능알수없음2023-11-23
9203(주) 슈퍼웍스컴퍼니customvillage/커스텀빌리지customvillage.co.kr02-942-2225customvillage@naver.com<NA>일반쇼핑몰2023-02-17서울특별시 성북구 화랑로15길 12 (상월곡동) 세원빌딩 4층1영업중323333컴퓨터 및 주변기기 / 소프트웨어 의류 신발/가방/패션잡화/귀금속 기타가능상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 간편결제 기타표준약관 사용초기화면표시<NA>에스크로제도<NA><NA>있다소비자(반품택배비만 부담)있다(공개)회원탈퇴 가능알수없음2023-11-07

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상호쇼핑몰명도메인명전화번호운영자이메일영업형태최초신고일자회사주소업소상태코드업소상태전체평가사업자정보표시평가청약철회평가결재방법평가이용약관평가개인정보보안평가주요취급품목청약철회가능여부초기화면필수항목중표시사항결제방법이용약관준수정도개인정보취급방침표준약관이상개인정보항목요구구매안전서비스배송예정일표시철회시배송비부담여부고객불만게시판운영회원탈퇴방법사이트개설년도모니터링날짜# duplicates
1(주)자스페로코리아자스페로몰/ZASPERO MALLwww.zasperomall.com02-783-8910info@zaspero.com일반쇼핑몰2022-07-20서울특별시 영등포구 선유로13길 25 (문래동6가) 에이스하이테크시티2차 615호1영업중323333신발/가방/패션잡화/귀금속 사무용전기제품/사무용기기가능상호 대표자 소재지 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 간편결제 휴대폰 기타표준약관 사용초기화면표시<NA>에스크로제도있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능알수없음2023-10-144
0(주)오로라에스(AURORA S)coepic/코에픽www.coepic.co.kr02-455-7117auroras@hanmail.net일반쇼핑몰2019-08-28서울특별시 광진구 아차산로 375 (크레신타워3차) 401호1영업중221333가구/생활/주방 건강용퓸/의료기기가능하나 일부품목제외, 기간축소상호 대표자 소재지 전화번호 전자우편주소 사업자등록번호 사이버몰이용약관 통신판매신고번호현금입금(무통장,계좌이체등) 신용카드 간편결제 기타표준약관 사용초기화면표시<NA>에스크로제도있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능20192023-10-142
2(주)한섬더한섬닷컴/thehandsomwww.thehandsome.com1800-5700shophelp@thehandsome.com일반쇼핑몰2009-04-08서울특별시 강남구 도산대로 523 한섬빌딩1영업중323333의류 신발/가방/패션잡화/귀금속 화장품/향수가능상호 대표자 소재지 전화번호 사업자등록번호 사이버몰이용약관 통신판매신고번호 호스팅 사업자현금입금(무통장,계좌이체등) 신용카드 간편결제 기타표준약관 사용초기화면표시<NA>에스크로제도있다소비자(왕복택배비 부담)있다(공개)회원탈퇴 가능20172023-10-182