Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory64.4 B

Variable types

Text2
Categorical1
Numeric4

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/685c968f-ff04-4e08-a63a-5f75efac7755

Alerts

참여영상수집일자 has constant value ""Constant
수 is highly overall correlated with 참여영상좋아요수 and 2 other fieldsHigh correlation
참여영상좋아요수 is highly overall correlated with 수 and 2 other fieldsHigh correlation
참여영상싫어요수 is highly overall correlated with 수 and 2 other fieldsHigh correlation
참여영상시청수 is highly overall correlated with 수 and 2 other fieldsHigh correlation
참여영상경로명 has unique valuesUnique
참여영상시청수 has unique valuesUnique
수 has 6 (20.0%) zerosZeros
참여영상좋아요수 has 1 (3.3%) zerosZeros
참여영상싫어요수 has 9 (30.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:07:06.858648
Analysis finished2023-12-10 14:07:10.517437
Duration3.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

참여영상경로명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:07:10.831937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length43
Mean length43
Min length43

Characters and Unicode

Total characters1290
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/watch?v=0LH3LGT24rI
2nd rowhttps://www.youtube.com/watch?v=XAa9QqR-gJU
3rd rowhttps://www.youtube.com/watch?v=ik7KXD-sYMY
4th rowhttps://www.youtube.com/watch?v=zIL8YGl8Kxw
5th rowhttps://www.youtube.com/watch?v=WRjWMbhk_Kc
ValueCountFrequency (%)
https://www.youtube.com/watch?v=0lh3lgt24ri 1
 
3.3%
https://www.youtube.com/watch?v=xaa9qqr-gju 1
 
3.3%
https://www.youtube.com/watch?v=cjszstjr2tu 1
 
3.3%
https://www.youtube.com/watch?v=csscurwkghi 1
 
3.3%
https://www.youtube.com/watch?v=xoorpjazogw 1
 
3.3%
https://www.youtube.com/watch?v=tb_o-yrm1sm 1
 
3.3%
https://www.youtube.com/watch?v=8lkpvdyt5x8 1
 
3.3%
https://www.youtube.com/watch?v=pnk5v2noyhs 1
 
3.3%
https://www.youtube.com/watch?v=qt4q0usvx_i 1
 
3.3%
https://www.youtube.com/watch?v=n1aszoi61ii 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:07:11.434148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 125
 
9.7%
w 125
 
9.7%
/ 90
 
7.0%
o 69
 
5.3%
u 67
 
5.2%
c 67
 
5.2%
h 63
 
4.9%
. 60
 
4.7%
s 40
 
3.1%
y 36
 
2.8%
Other values (59) 548
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 853
66.1%
Other Punctuation 210
 
16.3%
Uppercase Letter 132
 
10.2%
Decimal Number 54
 
4.2%
Math Symbol 30
 
2.3%
Dash Punctuation 6
 
0.5%
Connector Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 125
14.7%
w 125
14.7%
o 69
 
8.1%
u 67
 
7.9%
c 67
 
7.9%
h 63
 
7.4%
s 40
 
4.7%
y 36
 
4.2%
p 35
 
4.1%
b 34
 
4.0%
Other values (16) 192
22.5%
Uppercase Letter
ValueCountFrequency (%)
Y 11
 
8.3%
I 8
 
6.1%
R 8
 
6.1%
L 8
 
6.1%
S 7
 
5.3%
A 7
 
5.3%
K 7
 
5.3%
U 6
 
4.5%
M 6
 
4.5%
T 5
 
3.8%
Other values (16) 59
44.7%
Decimal Number
ValueCountFrequency (%)
4 9
16.7%
8 8
14.8%
0 7
13.0%
5 6
11.1%
2 6
11.1%
1 5
9.3%
6 5
9.3%
9 4
7.4%
7 3
 
5.6%
3 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
? 30
 
14.3%
: 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 985
76.4%
Common 305
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 125
 
12.7%
w 125
 
12.7%
o 69
 
7.0%
u 67
 
6.8%
c 67
 
6.8%
h 63
 
6.4%
s 40
 
4.1%
y 36
 
3.7%
p 35
 
3.6%
b 34
 
3.5%
Other values (42) 324
32.9%
Common
ValueCountFrequency (%)
/ 90
29.5%
. 60
19.7%
= 30
 
9.8%
? 30
 
9.8%
: 30
 
9.8%
4 9
 
3.0%
8 8
 
2.6%
0 7
 
2.3%
5 6
 
2.0%
2 6
 
2.0%
Other values (7) 29
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 125
 
9.7%
w 125
 
9.7%
/ 90
 
7.0%
o 69
 
5.3%
u 67
 
5.2%
c 67
 
5.2%
h 63
 
4.9%
. 60
 
4.7%
s 40
 
3.1%
y 36
 
2.8%
Other values (59) 548
42.5%

참여영상수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-01-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-01
2nd row2021-01-01
3rd row2021-01-01
4th row2021-01-01
5th row2021-01-01

Common Values

ValueCountFrequency (%)
2021-01-01 30
100.0%

Length

2023-12-10T23:07:11.666576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:07:11.829243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-01 30
100.0%

수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.066667
Minimum0
Maximum1508
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:07:11.969439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q339
95-th percentile223.75
Maximum1508
Range1508
Interquartile range (IQR)37

Descriptive statistics

Standard deviation276.25125
Coefficient of variation (CV)3.366181
Kurtosis26.792075
Mean82.066667
Median Absolute Deviation (MAD)7
Skewness5.0782539
Sum2462
Variance76314.754
MonotonicityNot monotonic
2023-12-10T23:07:12.139976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 6
20.0%
2 5
16.7%
7 4
13.3%
43 1
 
3.3%
21 1
 
3.3%
5 1
 
3.3%
60 1
 
3.3%
280 1
 
3.3%
1508 1
 
3.3%
27 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 6
20.0%
2 5
16.7%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 4
13.3%
13 1
 
3.3%
21 1
 
3.3%
24 1
 
3.3%
27 1
 
3.3%
ValueCountFrequency (%)
1508 1
3.3%
280 1
3.3%
155 1
3.3%
147 1
3.3%
86 1
3.3%
60 1
3.3%
45 1
3.3%
43 1
3.3%
27 1
3.3%
24 1
3.3%

참여영상좋아요수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.3
Minimum0
Maximum4006
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:07:12.334368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q123.25
median79.5
Q3243.5
95-th percentile2123.2
Maximum4006
Range4006
Interquartile range (IQR)220.25

Descriptive statistics

Standard deviation861.90307
Coefficient of variation (CV)2.1803771
Kurtosis11.148464
Mean395.3
Median Absolute Deviation (MAD)69.5
Skewness3.2606773
Sum11859
Variance742876.91
MonotonicityNot monotonic
2023-12-10T23:07:12.546917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 2
 
6.7%
36 2
 
6.7%
251 1
 
3.3%
209 1
 
3.3%
114 1
 
3.3%
61 1
 
3.3%
59 1
 
3.3%
2278 1
 
3.3%
4006 1
 
3.3%
0 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 1
3.3%
1 2
6.7%
3 1
3.3%
6 1
3.3%
14 1
3.3%
16 1
3.3%
23 1
3.3%
24 1
3.3%
36 2
6.7%
53 1
3.3%
ValueCountFrequency (%)
4006 1
3.3%
2278 1
3.3%
1934 1
3.3%
576 1
3.3%
518 1
3.3%
502 1
3.3%
405 1
3.3%
251 1
3.3%
221 1
3.3%
209 1
3.3%

참여영상싫어요수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.933333
Minimum0
Maximum600
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:07:12.731324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q313.75
95-th percentile46.2
Maximum600
Range600
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation108.72519
Coefficient of variation (CV)3.89231
Kurtosis29.176688
Mean27.933333
Median Absolute Deviation (MAD)2.5
Skewness5.3710494
Sum838
Variance11821.168
MonotonicityNot monotonic
2023-12-10T23:07:12.902642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9
30.0%
1 3
 
10.0%
2 3
 
10.0%
18 2
 
6.7%
21 1
 
3.3%
10 1
 
3.3%
48 1
 
3.3%
600 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 9
30.0%
1 3
 
10.0%
2 3
 
10.0%
3 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
600 1
3.3%
48 1
3.3%
44 1
3.3%
21 1
3.3%
18 2
6.7%
17 1
3.3%
15 1
3.3%
10 1
3.3%
9 1
3.3%
8 1
3.3%

참여영상시청수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34210.733
Minimum37
Maximum360457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:07:13.102141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile91.2
Q12196.5
median8171
Q337166.5
95-th percentile143569.05
Maximum360457
Range360420
Interquartile range (IQR)34970

Descriptive statistics

Standard deviation71883.293
Coefficient of variation (CV)2.1011912
Kurtosis15.446006
Mean34210.733
Median Absolute Deviation (MAD)6827.5
Skewness3.7412291
Sum1026322
Variance5.1672078 × 109
MonotonicityNot monotonic
2023-12-10T23:07:13.335406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
37 1
 
3.3%
43475 1
 
3.3%
1393 1
 
3.3%
6831 1
 
3.3%
12926 1
 
3.3%
42727 1
 
3.3%
6440 1
 
3.3%
180735 1
 
3.3%
360457 1
 
3.3%
144 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
37 1
3.3%
48 1
3.3%
144 1
3.3%
1294 1
3.3%
1393 1
3.3%
1418 1
3.3%
1513 1
3.3%
2142 1
3.3%
2360 1
3.3%
2926 1
3.3%
ValueCountFrequency (%)
360457 1
3.3%
180735 1
3.3%
98144 1
3.3%
49877 1
3.3%
46026 1
3.3%
43475 1
3.3%
42727 1
3.3%
39801 1
3.3%
29263 1
3.3%
29158 1
3.3%

영상영상채널명
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:07:13.648838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15.5
Mean length10.1
Min length3

Characters and Unicode

Total characters303
Distinct characters97
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st row종로티비
2nd row용연향
3rd rowMBCdrama
4th row채널A 뉴스
5th rowKBS News
ValueCountFrequency (%)
kbs 5
 
9.3%
drama 3
 
5.6%
mbcdrama 2
 
3.7%
entertain 2
 
3.7%
jtbc 2
 
3.7%
채널a 2
 
3.7%
sbs 2
 
3.7%
스브스케이팝 1
 
1.9%
천안시청 1
 
1.9%
ebsi 1
 
1.9%
Other values (33) 33
61.1%
2023-12-10T23:07:14.289127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
8.3%
a 20
 
6.6%
B 18
 
5.9%
e 14
 
4.6%
n 14
 
4.6%
S 13
 
4.3%
t 12
 
4.0%
r 11
 
3.6%
C 10
 
3.3%
o 7
 
2.3%
Other values (87) 159
52.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 114
37.6%
Uppercase Letter 89
29.4%
Other Letter 70
23.1%
Space Separator 25
 
8.3%
Decimal Number 2
 
0.7%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 6
 
8.6%
뉴 3
 
4.3%
이 3
 
4.3%
네 2
 
2.9%
교 2
 
2.9%
니 2
 
2.9%
로 2
 
2.9%
비 2
 
2.9%
널 2
 
2.9%
채 2
 
2.9%
Other values (44) 44
62.9%
Uppercase Letter
ValueCountFrequency (%)
B 18
20.2%
S 13
14.6%
C 10
11.2%
T 6
 
6.7%
E 6
 
6.7%
K 6
 
6.7%
P 4
 
4.5%
M 4
 
4.5%
D 4
 
4.5%
O 3
 
3.4%
Other values (10) 15
16.9%
Lowercase Letter
ValueCountFrequency (%)
a 20
17.5%
e 14
12.3%
n 14
12.3%
t 12
10.5%
r 11
9.6%
o 7
 
6.1%
m 7
 
6.1%
i 7
 
6.1%
u 4
 
3.5%
l 4
 
3.5%
Other values (7) 14
12.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 203
67.0%
Hangul 70
 
23.1%
Common 30
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 6
 
8.6%
뉴 3
 
4.3%
이 3
 
4.3%
네 2
 
2.9%
교 2
 
2.9%
니 2
 
2.9%
로 2
 
2.9%
비 2
 
2.9%
널 2
 
2.9%
채 2
 
2.9%
Other values (44) 44
62.9%
Latin
ValueCountFrequency (%)
a 20
 
9.9%
B 18
 
8.9%
e 14
 
6.9%
n 14
 
6.9%
S 13
 
6.4%
t 12
 
5.9%
r 11
 
5.4%
C 10
 
4.9%
o 7
 
3.4%
m 7
 
3.4%
Other values (27) 77
37.9%
Common
ValueCountFrequency (%)
25
83.3%
: 1
 
3.3%
( 1
 
3.3%
) 1
 
3.3%
1 1
 
3.3%
0 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233
76.9%
Hangul 70
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
 
10.7%
a 20
 
8.6%
B 18
 
7.7%
e 14
 
6.0%
n 14
 
6.0%
S 13
 
5.6%
t 12
 
5.2%
r 11
 
4.7%
C 10
 
4.3%
o 7
 
3.0%
Other values (33) 89
38.2%
Hangul
ValueCountFrequency (%)
스 6
 
8.6%
뉴 3
 
4.3%
이 3
 
4.3%
네 2
 
2.9%
교 2
 
2.9%
니 2
 
2.9%
로 2
 
2.9%
비 2
 
2.9%
널 2
 
2.9%
채 2
 
2.9%
Other values (44) 44
62.9%

Interactions

2023-12-10T23:07:09.512826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:07.417414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:08.083021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:08.710151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:09.686636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:07.626559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:08.229121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:08.914565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:09.863492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:07.790800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:08.394548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:09.110788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:10.023372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:07.942671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:08.538830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:09.297044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:07:14.464110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여영상경로명수참여영상좋아요수참여영상싫어요수참여영상시청수영상영상채널명
참여영상경로명1.0001.0001.0001.0001.0001.000
수1.0001.0001.0001.0000.8141.000
참여영상좋아요수1.0001.0001.0001.0000.9770.961
참여영상싫어요수1.0001.0001.0001.0001.0001.000
참여영상시청수1.0000.8140.9771.0001.0000.969
영상영상채널명1.0001.0000.9611.0000.9691.000
2023-12-10T23:07:14.675417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수참여영상좋아요수참여영상싫어요수참여영상시청수
수1.0000.8230.7500.724
참여영상좋아요수0.8231.0000.7590.865
참여영상싫어요수0.7500.7591.0000.786
참여영상시청수0.7240.8650.7861.000

Missing values

2023-12-10T23:07:10.218014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:07:10.443483image/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.

Sample

참여영상경로명참여영상수집일자수참여영상좋아요수참여영상싫어요수참여영상시청수영상영상채널명
0https://www.youtube.com/watch?v=0LH3LGT24rI2021-01-0101037종로티비
1https://www.youtube.com/watch?v=XAa9QqR-gJU2021-01-0162422142용연향
2https://www.youtube.com/watch?v=ik7KXD-sYMY2021-01-0122303163MBCdrama
3https://www.youtube.com/watch?v=zIL8YGl8Kxw2021-01-0121601513채널A 뉴스
4https://www.youtube.com/watch?v=WRjWMbhk_Kc2021-01-01865021798144KBS News
5https://www.youtube.com/watch?v=HlyGVc8PFxo2021-01-01134051846026donglegolf
6https://www.youtube.com/watch?v=-z4iocRN8D82021-01-01069159978단비스 Food
7https://www.youtube.com/watch?v=osP_PEIfSLs2021-01-012104129263JTBC Drama
8https://www.youtube.com/watch?v=Kdbx9ZEs44g2021-01-0115519341829158CoLa: Coreanas Latinas
9https://www.youtube.com/watch?v=X6n6CVHPOr42021-01-0101048MBClife
참여영상경로명참여영상수집일자수참여영상좋아요수참여영상싫어요수참여영상시청수영상영상채널명
20https://www.youtube.com/watch?v=5jj-i4A1YNg2021-01-01790820265SBS Entertainment
21https://www.youtube.com/watch?v=n1ASzOi61II2021-01-012736712674프로동네야구 PDB
22https://www.youtube.com/watch?v=qt4Q0USvX_I2021-01-01000144스브스케이팝 SBS KPOP
23https://www.youtube.com/watch?v=pnK5V2NOYHs2021-01-0115084006600360457간니닌니 다이어리
24https://www.youtube.com/watch?v=8LKpvDyt5x82021-01-01280227848180735군림보
25https://www.youtube.com/watch?v=TB_o-yRM1SM2021-01-0125926440MBCentertainment
26https://www.youtube.com/watch?v=xoorPjazoGw2021-01-0160611042727글자네 YouTube
27https://www.youtube.com/watch?v=CsscURWkgHI2021-01-015114012926KBS Entertain
28https://www.youtube.com/watch?v=CJSzstJr2tU2021-01-012120906831JTBC Drama
29https://www.youtube.com/watch?v=T02Jguumkns2021-01-0173621393KBS 한국방송