Overview

Dataset statistics

Number of variables5
Number of observations7889
Missing cells8603
Missing cells (%)21.8%
Duplicate rows46
Duplicate rows (%)0.6%
Total size in memory323.7 KiB
Average record size in memory42.0 B

Variable types

Categorical1
Text3
Unsupported1

Dataset

DescriptionSample
Author주식회사 여기어때컴퍼니
URLhttps://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400003

Alerts

기준년월 has constant value ""Constant
Dataset has 46 (0.6%) duplicate rowsDuplicates
고화질이미지URL has 357 (4.5%) missing valuesMissing
저화질이미지URL has 357 (4.5%) missing valuesMissing
태깅내용 has 7889 (100.0%) missing valuesMissing
태깅내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 08:58:33.217612
Analysis finished2024-04-17 08:58:33.688674
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
202108
7889 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202108
2nd row202108
3rd row202108
4th row202108
5th row202108

Common Values

ValueCountFrequency (%)
202108 7889
100.0%

Length

2024-04-17T17:58:33.737790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T17:58:33.813284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 7889
100.0%

식당ID
Text

Distinct6286
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2024-04-17T17:58:34.000990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.48612
Min length10

Characters and Unicode

Total characters90614
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5298 ?
Unique (%)67.2%

Sample

1st row__uFf9m5Ne99
2nd row_0IUd9dxhZI9
3rd row_0IUd9dxhZI9
4th row_0QEvubQgq
5th row_1EPcKBwVvMj
ValueCountFrequency (%)
cralfjutyzcv 37
 
0.5%
2yd80cd9mxci 17
 
0.2%
t5uhzl5utu 12
 
0.2%
noyramroldze 10
 
0.1%
ngjapgcvikbe 10
 
0.1%
gala_nxfmenx 10
 
0.1%
y5gp4bbldha8 9
 
0.1%
vch4pzooamls 9
 
0.1%
mdnnprkzujfl 9
 
0.1%
wo93btpxkq0l 9
 
0.1%
Other values (6276) 7757
98.3%
2024-04-17T17:58:34.332294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 1512
 
1.7%
l 1505
 
1.7%
c 1496
 
1.7%
_ 1484
 
1.6%
X 1481
 
1.6%
0 1479
 
1.6%
i 1475
 
1.6%
a 1473
 
1.6%
z 1471
 
1.6%
L 1467
 
1.6%
Other values (54) 75771
83.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 36914
40.7%
Lowercase Letter 36765
40.6%
Decimal Number 13987
 
15.4%
Connector Punctuation 1484
 
1.6%
Dash Punctuation 1464
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 1512
 
4.1%
l 1505
 
4.1%
c 1496
 
4.1%
i 1475
 
4.0%
a 1473
 
4.0%
z 1471
 
4.0%
v 1465
 
4.0%
p 1450
 
3.9%
e 1443
 
3.9%
g 1436
 
3.9%
Other values (16) 22039
59.9%
Uppercase Letter
ValueCountFrequency (%)
X 1481
 
4.0%
L 1467
 
4.0%
R 1462
 
4.0%
U 1462
 
4.0%
C 1449
 
3.9%
T 1447
 
3.9%
E 1446
 
3.9%
B 1445
 
3.9%
V 1440
 
3.9%
P 1436
 
3.9%
Other values (16) 22379
60.6%
Decimal Number
ValueCountFrequency (%)
0 1479
10.6%
9 1464
10.5%
8 1452
10.4%
7 1432
10.2%
1 1417
10.1%
4 1382
9.9%
3 1363
9.7%
6 1363
9.7%
2 1318
9.4%
5 1317
9.4%
Connector Punctuation
ValueCountFrequency (%)
_ 1484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1464
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 73679
81.3%
Common 16935
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 1512
 
2.1%
l 1505
 
2.0%
c 1496
 
2.0%
X 1481
 
2.0%
i 1475
 
2.0%
a 1473
 
2.0%
z 1471
 
2.0%
L 1467
 
2.0%
v 1465
 
2.0%
R 1462
 
2.0%
Other values (42) 58872
79.9%
Common
ValueCountFrequency (%)
_ 1484
8.8%
0 1479
8.7%
9 1464
8.6%
- 1464
8.6%
8 1452
8.6%
7 1432
8.5%
1 1417
8.4%
4 1382
8.2%
3 1363
8.0%
6 1363
8.0%
Other values (2) 2635
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 1512
 
1.7%
l 1505
 
1.7%
c 1496
 
1.7%
_ 1484
 
1.6%
X 1481
 
1.6%
0 1479
 
1.6%
i 1475
 
1.6%
a 1473
 
1.6%
z 1471
 
1.6%
L 1467
 
1.6%
Other values (54) 75771
83.6%

고화질이미지URL
Text

MISSING 

Distinct1721
Distinct (%)22.8%
Missing357
Missing (%)4.5%
Memory size61.8 KiB
2024-04-17T17:58:34.590919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length92
Mean length80.520977
Min length44

Characters and Unicode

Total characters606484
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique986 ?
Unique (%)13.1%

Sample

1st rowhttps://mp-seoul-image-production-s3.mangoplate.com/828430_1536934512297
2nd rowhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/27597_1627212311737
3rd rowhttps://mp-seoul-image-production-s3.mangoplate.com/664803_1522842424072
4th rowhttps://s3-ap-northeast-1.amazonaws.com/img.prod.mp/26135_1421337517798
5th rowhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1523303_1605010706846
ValueCountFrequency (%)
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162 145
 
1.9%
https://mp-seoul-image-production-s3.mangoplate.com/47875_1501571288025 107
 
1.4%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/343979_1629657573088 95
 
1.3%
https://k.kakaocdn.net/dn/dpk9l1/btqmgha2lkl/oz0wdujn1yv2din92f6dvk/img_640x640.jpg 81
 
1.1%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1047892_1614042372274 75
 
1.0%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/730575_1597464845413 65
 
0.9%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1774648_1598113602943 56
 
0.7%
https://mp-seoul-image-production-s3.mangoplate.com/632226_1586154098208 46
 
0.6%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/419874_1597974615375 46
 
0.6%
https://graph.facebook.com/10204464298989733/picture 45
 
0.6%
Other values (1711) 6771
89.9%
2024-04-17T17:58:34.984543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 36520
 
6.0%
t 33997
 
5.6%
a 33715
 
5.6%
/ 32808
 
5.4%
- 30790
 
5.1%
p 28122
 
4.6%
s 27341
 
4.5%
m 25249
 
4.2%
e 20220
 
3.3%
n 20112
 
3.3%
Other values (57) 317610
52.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 348467
57.5%
Decimal Number 141806
23.4%
Other Punctuation 57514
 
9.5%
Dash Punctuation 30790
 
5.1%
Uppercase Letter 20967
 
3.5%
Connector Punctuation 6940
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 36520
 
10.5%
t 33997
 
9.8%
a 33715
 
9.7%
p 28122
 
8.1%
s 27341
 
7.8%
m 25249
 
7.2%
e 20220
 
5.8%
n 20112
 
5.8%
c 14804
 
4.2%
i 13576
 
3.9%
Other values (16) 94811
27.2%
Uppercase Letter
ValueCountFrequency (%)
K 1746
 
8.3%
O 974
 
4.6%
X 914
 
4.4%
D 908
 
4.3%
R 908
 
4.3%
J 852
 
4.1%
L 852
 
4.1%
B 846
 
4.0%
A 837
 
4.0%
V 820
 
3.9%
Other values (16) 11310
53.9%
Decimal Number
ValueCountFrequency (%)
1 19262
13.6%
2 17020
12.0%
6 15956
11.3%
3 15453
10.9%
0 14077
9.9%
4 13851
9.8%
5 13210
9.3%
7 11294
8.0%
8 11041
7.8%
9 10642
7.5%
Other Punctuation
ValueCountFrequency (%)
/ 32808
57.0%
. 17174
29.9%
: 7532
 
13.1%
Dash Punctuation
ValueCountFrequency (%)
- 30790
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6940
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 369434
60.9%
Common 237050
39.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 36520
 
9.9%
t 33997
 
9.2%
a 33715
 
9.1%
p 28122
 
7.6%
s 27341
 
7.4%
m 25249
 
6.8%
e 20220
 
5.5%
n 20112
 
5.4%
c 14804
 
4.0%
i 13576
 
3.7%
Other values (42) 115778
31.3%
Common
ValueCountFrequency (%)
/ 32808
13.8%
- 30790
13.0%
1 19262
8.1%
. 17174
 
7.2%
2 17020
 
7.2%
6 15956
 
6.7%
3 15453
 
6.5%
0 14077
 
5.9%
4 13851
 
5.8%
5 13210
 
5.6%
Other values (5) 47449
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 606484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 36520
 
6.0%
t 33997
 
5.6%
a 33715
 
5.6%
/ 32808
 
5.4%
- 30790
 
5.1%
p 28122
 
4.6%
s 27341
 
4.5%
m 25249
 
4.2%
e 20220
 
3.3%
n 20112
 
3.3%
Other values (57) 317610
52.4%

저화질이미지URL
Text

MISSING 

Distinct1721
Distinct (%)22.8%
Missing357
Missing (%)4.5%
Memory size61.8 KiB
2024-04-17T17:58:35.242050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length92
Mean length80.520977
Min length44

Characters and Unicode

Total characters606484
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique986 ?
Unique (%)13.1%

Sample

1st rowhttps://mp-seoul-image-production-s3.mangoplate.com/828430_1536934512297
2nd rowhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/27597_1627212311737
3rd rowhttps://mp-seoul-image-production-s3.mangoplate.com/664803_1522842424072
4th rowhttps://s3-ap-northeast-1.amazonaws.com/img.prod.mp/26135_1421337517798
5th rowhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1523303_1605010706846
ValueCountFrequency (%)
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162 145
 
1.9%
https://mp-seoul-image-production-s3.mangoplate.com/47875_1501571288025 107
 
1.4%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/343979_1629657573088 95
 
1.3%
https://k.kakaocdn.net/dn/dpk9l1/btqmgha2lkl/oz0wdujn1yv2din92f6dvk/img_640x640.jpg 81
 
1.1%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1047892_1614042372274 75
 
1.0%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/730575_1597464845413 65
 
0.9%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1774648_1598113602943 56
 
0.7%
https://mp-seoul-image-production-s3.mangoplate.com/632226_1586154098208 46
 
0.6%
https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/419874_1597974615375 46
 
0.6%
https://graph.facebook.com/10204464298989733/picture 45
 
0.6%
Other values (1711) 6771
89.9%
2024-04-17T17:58:35.589018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 36520
 
6.0%
t 33997
 
5.6%
a 33715
 
5.6%
/ 32808
 
5.4%
- 30790
 
5.1%
p 28122
 
4.6%
s 27341
 
4.5%
m 25249
 
4.2%
e 20220
 
3.3%
n 20112
 
3.3%
Other values (57) 317610
52.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 348467
57.5%
Decimal Number 141806
23.4%
Other Punctuation 57514
 
9.5%
Dash Punctuation 30790
 
5.1%
Uppercase Letter 20967
 
3.5%
Connector Punctuation 6940
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 36520
 
10.5%
t 33997
 
9.8%
a 33715
 
9.7%
p 28122
 
8.1%
s 27341
 
7.8%
m 25249
 
7.2%
e 20220
 
5.8%
n 20112
 
5.8%
c 14804
 
4.2%
i 13576
 
3.9%
Other values (16) 94811
27.2%
Uppercase Letter
ValueCountFrequency (%)
K 1746
 
8.3%
O 974
 
4.6%
X 914
 
4.4%
D 908
 
4.3%
R 908
 
4.3%
J 852
 
4.1%
L 852
 
4.1%
B 846
 
4.0%
A 837
 
4.0%
V 820
 
3.9%
Other values (16) 11310
53.9%
Decimal Number
ValueCountFrequency (%)
1 19262
13.6%
2 17020
12.0%
6 15956
11.3%
3 15453
10.9%
0 14077
9.9%
4 13851
9.8%
5 13210
9.3%
7 11294
8.0%
8 11041
7.8%
9 10642
7.5%
Other Punctuation
ValueCountFrequency (%)
/ 32808
57.0%
. 17174
29.9%
: 7532
 
13.1%
Dash Punctuation
ValueCountFrequency (%)
- 30790
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6940
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 369434
60.9%
Common 237050
39.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 36520
 
9.9%
t 33997
 
9.2%
a 33715
 
9.1%
p 28122
 
7.6%
s 27341
 
7.4%
m 25249
 
6.8%
e 20220
 
5.5%
n 20112
 
5.4%
c 14804
 
4.0%
i 13576
 
3.7%
Other values (42) 115778
31.3%
Common
ValueCountFrequency (%)
/ 32808
13.8%
- 30790
13.0%
1 19262
8.1%
. 17174
 
7.2%
2 17020
 
7.2%
6 15956
 
6.7%
3 15453
 
6.5%
0 14077
 
5.9%
4 13851
 
5.8%
5 13210
 
5.6%
Other values (5) 47449
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 606484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 36520
 
6.0%
t 33997
 
5.6%
a 33715
 
5.6%
/ 32808
 
5.4%
- 30790
 
5.1%
p 28122
 
4.6%
s 27341
 
4.5%
m 25249
 
4.2%
e 20220
 
3.3%
n 20112
 
3.3%
Other values (57) 317610
52.4%

태깅내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7889
Missing (%)100.0%
Memory size69.5 KiB

Missing values

2024-04-17T17:58:33.483195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T17:58:33.561740image/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.
2024-04-17T17:58:33.643959image/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

기준년월식당ID고화질이미지URL저화질이미지URL태깅내용
0202108__uFf9m5Ne99https://mp-seoul-image-production-s3.mangoplate.com/828430_1536934512297https://mp-seoul-image-production-s3.mangoplate.com/828430_1536934512297<NA>
1202108_0IUd9dxhZI9https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/27597_1627212311737https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/27597_1627212311737<NA>
2202108_0IUd9dxhZI9https://mp-seoul-image-production-s3.mangoplate.com/664803_1522842424072https://mp-seoul-image-production-s3.mangoplate.com/664803_1522842424072<NA>
3202108_0QEvubQgqhttps://s3-ap-northeast-1.amazonaws.com/img.prod.mp/26135_1421337517798https://s3-ap-northeast-1.amazonaws.com/img.prod.mp/26135_1421337517798<NA>
4202108_1EPcKBwVvMjhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1523303_1605010706846https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1523303_1605010706846<NA>
5202108_1EPcKBwVvMjhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/801670_1589547980006https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/801670_1589547980006<NA>
6202108_3JDFlt5ynSehttps://mp-seoul-image-production-s3.mangoplate.com/460278_1484091237934https://mp-seoul-image-production-s3.mangoplate.com/460278_1484091237934<NA>
7202108_3QOogUbdehttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/825389_1623072887397https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/825389_1623072887397<NA>
8202108_3QOogUbdehttps://k.kakaocdn.net/dn/bnggqw/btqMSRBGbi6/6yfdbjjrMCicF80JUvtD5k/img_640x640.jpghttps://k.kakaocdn.net/dn/bnggqw/btqMSRBGbi6/6yfdbjjrMCicF80JUvtD5k/img_640x640.jpg<NA>
9202108_5FlS5-AyEZPhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/489917_1588866946945https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/489917_1588866946945<NA>
기준년월식당ID고화질이미지URL저화질이미지URL태깅내용
7879202108-WqPC3pC3kOehttp://mud-kage.kakao.co.kr/14/dn/btqdHaB4XOa/fjykcV1mBdpFSMa3Gc6qYK/o.jpghttp://mud-kage.kakao.co.kr/14/dn/btqdHaB4XOa/fjykcV1mBdpFSMa3Gc6qYK/o.jpg<NA>
7880202108-sqB5gh8l2https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/26472_1619439221938https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/26472_1619439221938<NA>
7881202108-WbKycdB1lMLhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/617296_1629692275415https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/617296_1629692275415<NA>
7882202108-IwlFXfJKZOkhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162<NA>
7883202108-aH3HI8LShxyhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1075545_1630395889433https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1075545_1630395889433<NA>
7884202108-iGwkMmxDXXGhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162<NA>
7885202108-U2DHPr-gMUYhttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1214190_1624458192891https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1214190_1624458192891<NA>
7886202108-uO5kXrv2GYThttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1992713_1625668108094https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1992713_1625668108094<NA>
7887202108-iKK9V5b_chttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1026054_1620546236162<NA>
7888202108-g2I6md0eThttps://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1294770_1614160853431https://s3-ap-northeast-2.amazonaws.com/mp-seoul-image-production/1294770_1614160853431<NA>

Duplicate rows

Most frequently occurring

기준년월식당ID고화질이미지URL저화질이미지URL# duplicates
31202108gALa_NxfMeNx<NA><NA>10
32021082yd80Cd9mXCi<NA><NA>8
22202108QeOue8q4J6zh<NA><NA>8
32202108hYck11KPBRZ4<NA><NA>8
7202108C-a8F5BoUcK0https://k.kakaocdn.net/dn/cpXc5K/btq96EVW1Qw/kRE9iYACJBJp6gk6gqwyH0/img_640x640.jpghttps://k.kakaocdn.net/dn/cpXc5K/btq96EVW1Qw/kRE9iYACJBJp6gk6gqwyH0/img_640x640.jpg5
18202108NGjapGcvikbE<NA><NA>5
42021088Dlsh5paQL8Ghttps://k.kakaocdn.net/dn/bu7Rmh/btqC3NJFPjt/72DrX9h13ZmLQVEd6x9uoK/img_640x640.jpghttps://k.kakaocdn.net/dn/bu7Rmh/btqC3NJFPjt/72DrX9h13ZmLQVEd6x9uoK/img_640x640.jpg4
22021082yd80Cd9mXCihttps://k.kakaocdn.net/dn/dpk9l1/btqmGhA2lKL/Oz0wDuJn1YV2DIn92f6DVK/img_640x640.jpghttps://k.kakaocdn.net/dn/dpk9l1/btqmGhA2lKL/Oz0wDuJn1YV2DIn92f6DVK/img_640x640.jpg3
10202108CralFJUTyzcVhttps://k.kakaocdn.net/dn/dpk9l1/btqmGhA2lKL/Oz0wDuJn1YV2DIn92f6DVK/img_640x640.jpghttps://k.kakaocdn.net/dn/dpk9l1/btqmGhA2lKL/Oz0wDuJn1YV2DIn92f6DVK/img_640x640.jpg3
35202108jxxcjnt_dChvhttps://graph.facebook.com/2147498821947965/picturehttps://graph.facebook.com/2147498821947965/picture3