Overview

Dataset statistics

Number of variables13
Number of observations1394
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory147.2 KiB
Average record size in memory108.1 B

Variable types

Numeric2
Text1
Categorical5
Boolean1
DateTime4

Dataset

Description제주관광공사 온라인면세점 시스템의 매출 증진을 위해 구매 고객을 대상으로 시행한 사은전, 할인전, 이벤트, 혜택 등 배너 데이터
URLhttps://www.data.go.kr/data/15119493/fileData.do

Alerts

모바일배너사용여부 is highly overall correlated with 배너유형High correlation
배너유형 is highly overall correlated with 모바일배너사용여부High correlation
아이디 is highly overall correlated with 정렬순서 and 2 other fieldsHigh correlation
정렬순서 is highly overall correlated with 아이디 and 2 other fieldsHigh correlation
사용여부 is highly overall correlated with 아이디 and 1 other fieldsHigh correlation
새창으로열기 is highly overall correlated with 아이디 and 1 other fieldsHigh correlation
디바이스타입 is highly imbalanced (96.1%)Imbalance
링크컨텐츠타입 is highly imbalanced (50.9%)Imbalance
아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:09:15.740728
Analysis finished2023-12-12 23:09:17.386982
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1394
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1211.5674
Minimum101
Maximum2718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-13T08:09:17.773296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile266.65
Q1645.25
median1059.5
Q31574.75
95-th percentile2636.35
Maximum2718
Range2617
Interquartile range (IQR)929.5

Descriptive statistics

Standard deviation741.2463
Coefficient of variation (CV)0.61180771
Kurtosis-0.60165046
Mean1211.5674
Median Absolute Deviation (MAD)456
Skewness0.66835387
Sum1688925
Variance549446.08
MonotonicityNot monotonic
2023-12-13T08:09:17.924324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 1
 
0.1%
2414 1
 
0.1%
1137 1
 
0.1%
1326 1
 
0.1%
1325 1
 
0.1%
1324 1
 
0.1%
1323 1
 
0.1%
1322 1
 
0.1%
1321 1
 
0.1%
1320 1
 
0.1%
Other values (1384) 1384
99.3%
ValueCountFrequency (%)
101 1
0.1%
102 1
0.1%
103 1
0.1%
104 1
0.1%
105 1
0.1%
106 1
0.1%
107 1
0.1%
110 1
0.1%
111 1
0.1%
124 1
0.1%
ValueCountFrequency (%)
2718 1
0.1%
2717 1
0.1%
2716 1
0.1%
2715 1
0.1%
2714 1
0.1%
2713 1
0.1%
2712 1
0.1%
2711 1
0.1%
2710 1
0.1%
2709 1
0.1%

성명
Text

Distinct1084
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2023-12-13T08:09:18.244944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length15.808465
Min length1

Characters and Unicode

Total characters22037
Distinct characters566
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique896 ?
Unique (%)64.3%

Sample

1st row메인 상단마케팅배너
2nd rowSKⅡ 3월 사은전
3rd row좌측배너 1
4th row좌측 배너 2
5th row좌측 배너 3
ValueCountFrequency (%)
이벤트 322
 
5.4%
314
 
5.3%
혜택 163
 
2.8%
할인 146
 
2.5%
사은전 144
 
2.4%
특별이벤트 126
 
2.1%
및 93
 
1.6%
증정 80
 
1.4%
정관장 76
 
1.3%
12월 71
 
1.2%
Other values (937) 4381
74.1%
2023-12-13T08:09:18.701690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4614
 
20.9%
이 728
 
3.3%
월 681
 
3.1%
트 547
 
2.5%
벤 503
 
2.3%
! 433
 
2.0%
사 390
 
1.8%
2 363
 
1.6%
전 344
 
1.6%
1 329
 
1.5%
Other values (556) 13105
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14164
64.3%
Space Separator 4614
 
20.9%
Decimal Number 1576
 
7.2%
Other Punctuation 843
 
3.8%
Uppercase Letter 338
 
1.5%
Lowercase Letter 139
 
0.6%
Math Symbol 109
 
0.5%
Dash Punctuation 68
 
0.3%
Connector Punctuation 53
 
0.2%
Letter Number 41
 
0.2%
Other values (4) 92
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 728
 
5.1%
월 681
 
4.8%
트 547
 
3.9%
벤 503
 
3.6%
사 390
 
2.8%
전 344
 
2.4%
은 279
 
2.0%
기 238
 
1.7%
특 230
 
1.6%
인 226
 
1.6%
Other values (484) 9998
70.6%
Uppercase Letter
ValueCountFrequency (%)
K 80
23.7%
S 73
21.6%
I 56
16.6%
T 21
 
6.2%
E 17
 
5.0%
G 16
 
4.7%
L 15
 
4.4%
N 12
 
3.6%
U 8
 
2.4%
M 7
 
2.1%
Other values (10) 33
9.8%
Lowercase Letter
ValueCountFrequency (%)
a 20
14.4%
e 19
13.7%
l 18
12.9%
r 16
11.5%
v 12
8.6%
s 8
 
5.8%
t 8
 
5.8%
m 7
 
5.0%
i 7
 
5.0%
o 5
 
3.6%
Other values (8) 19
13.7%
Other Punctuation
ValueCountFrequency (%)
! 433
51.4%
, 264
31.3%
' 40
 
4.7%
% 40
 
4.7%
. 35
 
4.2%
/ 14
 
1.7%
? 9
 
1.1%
& 4
 
0.5%
· 3
 
0.4%
？ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 363
23.0%
1 329
20.9%
0 306
19.4%
5 107
 
6.8%
3 86
 
5.5%
6 86
 
5.5%
7 84
 
5.3%
8 83
 
5.3%
4 80
 
5.1%
9 52
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 64
58.7%
+ 42
38.5%
× 3
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 25
96.2%
[ 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 25
96.2%
] 1
 
3.8%
Other Symbol
ValueCountFrequency (%)
° 1
50.0%
♥ 1
50.0%
Space Separator
ValueCountFrequency (%)
4614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 53
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 41
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14130
64.1%
Common 7355
33.4%
Latin 518
 
2.4%
Han 34
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 728
 
5.2%
월 681
 
4.8%
트 547
 
3.9%
벤 503
 
3.6%
사 390
 
2.8%
전 344
 
2.4%
은 279
 
2.0%
기 238
 
1.7%
특 230
 
1.6%
인 226
 
1.6%
Other values (480) 9964
70.5%
Latin
ValueCountFrequency (%)
K 80
15.4%
S 73
14.1%
I 56
 
10.8%
Ⅱ 41
 
7.9%
T 21
 
4.1%
a 20
 
3.9%
e 19
 
3.7%
l 18
 
3.5%
E 17
 
3.3%
G 16
 
3.1%
Other values (29) 157
30.3%
Common
ValueCountFrequency (%)
4614
62.7%
! 433
 
5.9%
2 363
 
4.9%
1 329
 
4.5%
0 306
 
4.2%
, 264
 
3.6%
5 107
 
1.5%
3 86
 
1.2%
6 86
 
1.2%
7 84
 
1.1%
Other values (23) 683
 
9.3%
Han
ValueCountFrequency (%)
無 12
35.3%
多 12
35.3%
福 9
26.5%
三 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14127
64.1%
ASCII 7823
35.5%
Number Forms 41
 
0.2%
CJK 34
 
0.2%
None 8
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4614
59.0%
! 433
 
5.5%
2 363
 
4.6%
1 329
 
4.2%
0 306
 
3.9%
, 264
 
3.4%
5 107
 
1.4%
3 86
 
1.1%
6 86
 
1.1%
7 84
 
1.1%
Other values (56) 1151
 
14.7%
Hangul
ValueCountFrequency (%)
이 728
 
5.2%
월 681
 
4.8%
트 547
 
3.9%
벤 503
 
3.6%
사 390
 
2.8%
전 344
 
2.4%
은 279
 
2.0%
기 238
 
1.7%
특 230
 
1.6%
인 226
 
1.6%
Other values (479) 9961
70.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 41
100.0%
CJK
ValueCountFrequency (%)
無 12
35.3%
多 12
35.3%
福 9
26.5%
三 1
 
2.9%
None
ValueCountFrequency (%)
× 3
37.5%
· 3
37.5%
° 1
 
12.5%
？ 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

배너유형
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
main
473 
category
357 
eventMain
175 
exhibitionMain
170 
leftMarketing
80 
Other values (6)
139 

Length

Max length16
Median length14
Mean length8.4404591
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowtopBeltMarketing
2nd rowmain
3rd rowleftMarketing
4th rowleftMarketing
5th rowleftMarketing

Common Values

ValueCountFrequency (%)
main 473
33.9%
category 357
25.6%
eventMain 175
 
12.6%
exhibitionMain 170
 
12.2%
leftMarketing 80
 
5.7%
brandPromotion 70
 
5.0%
topBeltMarketing 56
 
4.0%
beltMarketing 9
 
0.6%
themeShop 2
 
0.1%
newBrand 1
 
0.1%

Length

2023-12-13T08:09:18.835348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
main 473
33.9%
category 357
25.6%
eventmain 175
 
12.6%
exhibitionmain 170
 
12.2%
leftmarketing 80
 
5.7%
brandpromotion 70
 
5.0%
topbeltmarketing 56
 
4.0%
beltmarketing 9
 
0.6%
themeshop 2
 
0.1%
newbrand 1
 
0.1%

디바이스타입
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
all
1382 
pc
 
10
mobile
 
1
<NA>
 
1

Length

Max length6
Median length3
Mean length2.9956958
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowpc
2nd rowall
3rd rowpc
4th rowpc
5th rowpc

Common Values

ValueCountFrequency (%)
all 1382
99.1%
pc 10
 
0.7%
mobile 1
 
0.1%
<NA> 1
 
0.1%

Length

2023-12-13T08:09:18.960519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:19.078987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
all 1382
99.1%
pc 10
 
0.7%
mobile 1
 
0.1%
na 1
 
0.1%

사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing1
Missing (%)0.1%
Memory size2.9 KiB
False
1222 
True
171 
(Missing)
 
1
ValueCountFrequency (%)
False 1222
87.7%
True 171
 
12.3%
(Missing) 1
 
0.1%
2023-12-13T08:09:19.160437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정렬순서
Real number (ℝ)

HIGH CORRELATION 

Distinct649
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271.65638
Minimum0
Maximum729
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2023-12-13T08:09:19.261447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q172.25
median244
Q3433.75
95-th percentile645.4
Maximum729
Range729
Interquartile range (IQR)361.5

Descriptive statistics

Standard deviation205.08655
Coefficient of variation (CV)0.75494837
Kurtosis-0.95169068
Mean271.65638
Median Absolute Deviation (MAD)177
Skewness0.4086848
Sum378689
Variance42060.491
MonotonicityNot monotonic
2023-12-13T08:09:19.398447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 11
 
0.8%
1 10
 
0.7%
10 9
 
0.6%
3 9
 
0.6%
8 8
 
0.6%
2 8
 
0.6%
52 8
 
0.6%
57 7
 
0.5%
24 7
 
0.5%
12 7
 
0.5%
Other values (639) 1310
94.0%
ValueCountFrequency (%)
0 3
 
0.2%
1 10
0.7%
2 8
0.6%
3 9
0.6%
4 11
0.8%
5 7
0.5%
6 5
0.4%
7 7
0.5%
8 8
0.6%
9 6
0.4%
ValueCountFrequency (%)
729 1
0.1%
728 1
0.1%
727 1
0.1%
726 1
0.1%
725 1
0.1%
724 1
0.1%
723 1
0.1%
721 1
0.1%
719 1
0.1%
717 1
0.1%

링크컨텐츠타입
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
exhibition
650 
shopEvent
625 
url
110 
none
 
6
category
 
1
Other values (2)
 
2

Length

Max length10
Median length9
Mean length8.9655667
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st rowshopEvent
2nd rowexhibition
3rd rowshopEvent
4th rowshopEvent
5th rowurl

Common Values

ValueCountFrequency (%)
exhibition 650
46.6%
shopEvent 625
44.8%
url 110
 
7.9%
none 6
 
0.4%
category 1
 
0.1%
<NA> 1
 
0.1%
product 1
 
0.1%

Length

2023-12-13T08:09:19.535914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:19.650731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
exhibition 650
46.6%
shopevent 625
44.8%
url 110
 
7.9%
none 6
 
0.4%
category 1
 
0.1%
na 1
 
0.1%
product 1
 
0.1%

새창으로열기
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
1
751 
0
642 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0021521
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 751
53.9%
0 642
46.1%
<NA> 1
 
0.1%

Length

2023-12-13T08:09:19.774898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:19.891220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 751
53.9%
0 642
46.1%
na 1
 
0.1%

시작일자
Date

Distinct422
Distinct (%)30.3%
Missing1
Missing (%)0.1%
Memory size11.0 KiB
Minimum2018-03-20 09:50:00
Maximum2023-08-01 00:00:00
2023-12-13T08:09:19.998753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:20.168202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일시
Date

Distinct299
Distinct (%)21.5%
Missing1
Missing (%)0.1%
Memory size11.0 KiB
Minimum2018-03-31 10:02:00
Maximum2023-12-31 23:59:00
2023-12-13T08:09:20.311102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:20.480282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

모바일배너사용여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
1
858 
0
535 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0021521
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 858
61.5%
0 535
38.4%
<NA> 1
 
0.1%

Length

2023-12-13T08:09:20.629754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:20.792761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 858
61.5%
0 535
38.4%
na 1
 
0.1%

등록일자
Date

Distinct1344
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
Minimum2018-03-20 09:52:00
Maximum2023-07-31 10:38:00
2023-12-13T08:09:20.964888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:21.154679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자
Date

Distinct36
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
Minimum2018-10-12 11:42:00
Maximum2023-08-01 13:21:00
2023-12-13T08:09:21.310790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:21.442351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

Interactions

2023-12-13T08:09:16.772277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:16.592370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:16.853035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:16.678535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:09:21.553384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디배너유형디바이스타입사용여부정렬순서링크컨텐츠타입새창으로열기모바일배너사용여부수정일자
아이디1.0000.4120.1680.9680.8670.2600.9500.1740.467
배너유형0.4121.0000.1270.2070.8000.5980.2530.9971.000
디바이스타입0.1680.1271.0000.0000.1300.0000.0210.0510.358
사용여부0.9680.2070.0001.0000.8060.1700.0000.1260.401
정렬순서0.8670.8000.1300.8061.0000.4190.7210.5240.729
링크컨텐츠타입0.2600.5980.0000.1700.4191.0000.3710.5190.652
새창으로열기0.9500.2530.0210.0000.7210.3711.0000.0880.250
모바일배너사용여부0.1740.9970.0510.1260.5240.5190.0881.0000.980
수정일자0.4671.0000.3580.4010.7290.6520.2500.9801.000
2023-12-13T08:09:21.713541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
디바이스타입모바일배너사용여부사용여부새창으로열기배너유형링크컨텐츠타입
디바이스타입1.0000.0850.0000.0340.0750.000
모바일배너사용여부0.0851.0000.0800.0560.9480.374
사용여부0.0000.0801.0000.0000.1590.122
새창으로열기0.0340.0560.0001.0000.1930.267
배너유형0.0750.9480.1590.1931.0000.367
링크컨텐츠타입0.0000.3740.1220.2670.3671.000
2023-12-13T08:09:21.850763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디정렬순서배너유형디바이스타입사용여부링크컨텐츠타입새창으로열기모바일배너사용여부
아이디1.000-0.6890.1370.1010.8430.1390.8060.133
정렬순서-0.6891.0000.3640.0770.6380.2350.5620.403
배너유형0.1370.3641.0000.0750.1590.3670.1930.948
디바이스타입0.1010.0770.0751.0000.0000.0000.0340.085
사용여부0.8430.6380.1590.0001.0000.1220.0000.080
링크컨텐츠타입0.1390.2350.3670.0000.1221.0000.2670.374
새창으로열기0.8060.5620.1930.0340.0000.2671.0000.056
모바일배너사용여부0.1330.4030.9480.0850.0800.3740.0561.000

Missing values

2023-12-13T08:09:16.985283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:09:17.137639image/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.
2023-12-13T08:09:17.280699image/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

아이디성명배너유형디바이스타입사용여부정렬순서링크컨텐츠타입새창으로열기시작일자종료일시모바일배너사용여부등록일자수정일자
0101메인 상단마케팅배너topBeltMarketingpcn0shopEvent12018-03-20 9:502018-05-31 23:5912018-03-20 9:522018-10-12 11:42
1102SKⅡ 3월 사은전mainalln719exhibition12018-03-20 10:022018-03-31 10:0212018-03-20 10:032023-07-31 10:33
2103좌측배너 1leftMarketingpcn122shopEvent12018-03-20 10:052018-05-31 23:5902018-03-20 10:052023-01-25 13:42
3104좌측 배너 2leftMarketingpcn123shopEvent12018-03-20 10:062018-04-30 23:5902018-03-20 10:062023-01-25 13:42
4105좌측 배너 3leftMarketingpcn123url12018-03-20 10:072018-04-16 10:0702018-03-20 10:072023-01-25 13:42
5106SK-Ⅱ 사은전brandPromotionalln85exhibition12018-03-20 10:112018-05-31 23:5912018-03-20 10:122023-05-09 14:02
6107비오템 사은전brandPromotionalln90exhibition12018-03-20 10:122018-05-31 23:5902018-03-20 10:132023-05-09 14:02
7268SK-Ⅱ 6월 사은전mainalln711exhibition12018-06-012018-06-30 23:5912018-05-30 13:432023-07-31 10:33
8128홍삼categoryalln505exhibition12018-03-20 12:402018-04-30 12:4002018-03-20 12:412023-07-31 10:38
9129선글라스categoryalln505exhibition12018-03-20 12:472018-06-30 23:5902018-03-20 12:472023-07-31 10:38
아이디성명배너유형디바이스타입사용여부정렬순서링크컨텐츠타입새창으로열기시작일자종료일시모바일배너사용여부등록일자수정일자
13842454일년에 단한번 ! 블랙듀티프리 세일exhibitionMainalln39exhibition02022-12-012023-01-31 23:5912022-12-01 17:562023-07-18 10:05
138522597월, 삼無재주 카드 무이자 특별이벤트 !mainalln85exhibition02022-07-012022-07-31 23:5912022-06-27 15:052023-07-31 10:33
138625793월, 벚꽃세일 화장품 향수 특별이벤트!categoryally41shopEvent02023-03-012023-03-31 23:5902023-02-21 16:462023-07-31 10:38
138725833월, 벚꽃세일 문구 완구 특별이벤트!categoryally45shopEvent02023-03-012023-03-31 23:5902023-02-21 16:512023-07-31 10:38
138823058월, 삼無재주 카드 무이자 특별이벤트 !mainalln82exhibition02022-08-012022-08-31 23:5912022-07-27 10:352023-07-31 10:33
13892591제주관광공사 중문면세점 개점 14주년 축하 댓글 이벤트eventMainally18shopEvent02023-03-012023-03-31 23:5912023-03-01 0:322023-07-28 15:27
139021986월 싹쓰리 다시 여름 반값다 빅세일 !leftMarketingalln8shopEvent02022-06-012022-06-30 23:5902022-05-26 16:442023-01-25 13:42
13912392설화수 오픈전exhibitionMainalln52exhibition02022-10-022022-11-30 23:5912022-10-01 17:182023-07-18 10:05
13922703닥스 추천전mainally14exhibition02023-07-262023-09-30 23:5912023-07-26 13:162023-07-31 10:33
13932704닥스 추천전exhibitionMainally5exhibition02023-07-262023-09-30 23:5912023-07-26 13:202023-07-26 13:20