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
DateTime1
Numeric4

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/5272feb4-baf4-4052-98aa-247363e358c8

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
수 has 15 (50.0%) zerosZeros
참여영상좋아요수 has 8 (26.7%) zerosZeros
참여영상싫어요수 has 13 (43.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:19:46.895200
Analysis finished2023-12-10 14:19:48.872061
Duration1.98 second
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
2023-12-10T23:19:49.031838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length43
Mean length43
Min length43

Characters and Unicode

Total characters1290
Distinct characters68
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=Hdxvc2mAW7E
2nd rowhttps://www.youtube.com/watch?v=cj1IZz5S4Ms
3rd rowhttps://www.youtube.com/watch?v=LOGETMBvV9A
4th rowhttps://www.youtube.com/watch?v=pr3yQH7Qy7k
5th rowhttps://www.youtube.com/watch?v=_ANHugCIQTg
ValueCountFrequency (%)
https://www.youtube.com/watch?v=hdxvc2maw7e 1
 
3.3%
https://www.youtube.com/watch?v=cj1izz5s4ms 1
 
3.3%
https://www.youtube.com/watch?v=eqvjnt6-7zc 1
 
3.3%
https://www.youtube.com/watch?v=ufbjmo9uzrs 1
 
3.3%
https://www.youtube.com/watch?v=abbxw3fuh0s 1
 
3.3%
https://www.youtube.com/watch?v=wabv0lquteo 1
 
3.3%
https://www.youtube.com/watch?v=mc9gq8yodfi 1
 
3.3%
https://www.youtube.com/watch?v=iqvbj_3hmla 1
 
3.3%
https://www.youtube.com/watch?v=akgyybrfic4 1
 
3.3%
https://www.youtube.com/watch?v=wdyb2rar7fc 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:19:49.675328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 128
 
9.9%
t 127
 
9.8%
/ 90
 
7.0%
c 69
 
5.3%
u 66
 
5.1%
h 65
 
5.0%
o 65
 
5.0%
. 60
 
4.7%
v 37
 
2.9%
a 37
 
2.9%
Other values (58) 546
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 852
66.0%
Other Punctuation 210
 
16.3%
Uppercase Letter 141
 
10.9%
Decimal Number 52
 
4.0%
Math Symbol 30
 
2.3%
Connector Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 10
 
7.1%
O 8
 
5.7%
I 8
 
5.7%
A 8
 
5.7%
M 7
 
5.0%
Q 7
 
5.0%
Z 7
 
5.0%
L 7
 
5.0%
Y 6
 
4.3%
H 6
 
4.3%
Other values (16) 67
47.5%
Lowercase Letter
ValueCountFrequency (%)
w 128
15.0%
t 127
14.9%
c 69
 
8.1%
u 66
 
7.7%
h 65
 
7.6%
o 65
 
7.6%
v 37
 
4.3%
a 37
 
4.3%
m 37
 
4.3%
b 37
 
4.3%
Other values (15) 184
21.6%
Decimal Number
ValueCountFrequency (%)
0 8
15.4%
7 8
15.4%
9 7
13.5%
3 6
11.5%
2 6
11.5%
6 5
9.6%
8 4
7.7%
4 4
7.7%
1 3
 
5.8%
5 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
: 30
 
14.3%
? 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 993
77.0%
Common 297
 
23.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 128
 
12.9%
t 127
 
12.8%
c 69
 
6.9%
u 66
 
6.6%
h 65
 
6.5%
o 65
 
6.5%
v 37
 
3.7%
a 37
 
3.7%
m 37
 
3.7%
b 37
 
3.7%
Other values (41) 325
32.7%
Common
ValueCountFrequency (%)
/ 90
30.3%
. 60
20.2%
: 30
 
10.1%
? 30
 
10.1%
= 30
 
10.1%
0 8
 
2.7%
7 8
 
2.7%
9 7
 
2.4%
3 6
 
2.0%
2 6
 
2.0%
Other values (7) 22
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 128
 
9.9%
t 127
 
9.8%
/ 90
 
7.0%
c 69
 
5.3%
u 66
 
5.1%
h 65
 
5.0%
o 65
 
5.0%
. 60
 
4.7%
v 37
 
2.9%
a 37
 
2.9%
Other values (58) 546
42.3%

참여영상수집일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2021-04-01 00:00:00
Maximum2021-04-01 00:00:00
2023-12-10T23:19:49.786845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:49.889683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.23333
Minimum0
Maximum1437
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:19:49.991884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q339.75
95-th percentile811.3
Maximum1437
Range1437
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation332.60805
Coefficient of variation (CV)2.6990104
Kurtosis11.101526
Mean123.23333
Median Absolute Deviation (MAD)0.5
Skewness3.3901877
Sum3697
Variance110628.12
MonotonicityNot monotonic
2023-12-10T23:19:50.100435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 15
50.0%
1 2
 
6.7%
8 2
 
6.7%
379 1
 
3.3%
160 1
 
3.3%
19 1
 
3.3%
1165 1
 
3.3%
7 1
 
3.3%
42 1
 
3.3%
33 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 15
50.0%
1 2
 
6.7%
7 1
 
3.3%
8 2
 
6.7%
19 1
 
3.3%
33 1
 
3.3%
42 1
 
3.3%
87 1
 
3.3%
160 1
 
3.3%
166 1
 
3.3%
ValueCountFrequency (%)
1437 1
3.3%
1165 1
3.3%
379 1
3.3%
184 1
3.3%
166 1
3.3%
160 1
3.3%
87 1
3.3%
42 1
3.3%
33 1
3.3%
19 1
3.3%

참여영상좋아요수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218.4
Minimum0
Maximum38825
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:19:50.222779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median14
Q3343.5
95-th percentile9453.85
Maximum38825
Range38825
Interquartile range (IQR)343.25

Descriptive statistics

Standard deviation7387.7107
Coefficient of variation (CV)3.3301977
Kurtosis22.463483
Mean2218.4
Median Absolute Deviation (MAD)14
Skewness4.6021976
Sum66552
Variance54578269
MonotonicityNot monotonic
2023-12-10T23:19:50.369670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
26.7%
1 3
 
10.0%
4654 1
 
3.3%
298 1
 
3.3%
8 1
 
3.3%
30 1
 
3.3%
350 1
 
3.3%
837 1
 
3.3%
1995 1
 
3.3%
10 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 8
26.7%
1 3
 
10.0%
4 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
18 1
 
3.3%
30 1
 
3.3%
63 1
 
3.3%
75 1
 
3.3%
ValueCountFrequency (%)
38825 1
3.3%
13381 1
3.3%
4654 1
3.3%
3720 1
3.3%
1995 1
3.3%
1861 1
3.3%
837 1
3.3%
350 1
3.3%
324 1
3.3%
298 1
3.3%

참여영상싫어요수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.866667
Minimum0
Maximum1945
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:19:50.535621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q312.25
95-th percentile326.75
Maximum1945
Range1945
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation361.86592
Coefficient of variation (CV)3.7746793
Kurtosis25.662387
Mean95.866667
Median Absolute Deviation (MAD)1.5
Skewness4.9696721
Sum2876
Variance130946.95
MonotonicityNot monotonic
2023-12-10T23:19:50.728652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 13
43.3%
2 2
 
6.7%
3 2
 
6.7%
1 2
 
6.7%
1945 1
 
3.3%
104 1
 
3.3%
10 1
 
3.3%
4 1
 
3.3%
509 1
 
3.3%
13 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0 13
43.3%
1 2
 
6.7%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
10 1
 
3.3%
13 1
 
3.3%
40 1
 
3.3%
73 1
 
3.3%
ValueCountFrequency (%)
1945 1
3.3%
509 1
3.3%
104 1
3.3%
84 1
3.3%
77 1
3.3%
73 1
3.3%
40 1
3.3%
13 1
3.3%
10 1
3.3%
5 1
3.3%

참여영상시청수
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117370.77
Minimum13
Maximum2314257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:19:50.871536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile30.7
Q1199.5
median1177.5
Q333577
95-th percentile276229.85
Maximum2314257
Range2314244
Interquartile range (IQR)33377.5

Descriptive statistics

Standard deviation422862.79
Coefficient of variation (CV)3.6027948
Kurtosis27.572366
Mean117370.77
Median Absolute Deviation (MAD)1157
Skewness5.1688618
Sum3521123
Variance1.7881294 × 1011
MonotonicityNot monotonic
2023-12-10T23:19:50.997844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
34 2
 
6.7%
2314257 1
 
3.3%
151 1
 
3.3%
85 1
 
3.3%
13 1
 
3.3%
236 1
 
3.3%
1532 1
 
3.3%
635 1
 
3.3%
35939 1
 
3.3%
189 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
13 1
3.3%
28 1
3.3%
34 2
6.7%
42 1
3.3%
85 1
3.3%
151 1
3.3%
189 1
3.3%
231 1
3.3%
236 1
3.3%
268 1
3.3%
ValueCountFrequency (%)
2314257 1
3.3%
292757 1
3.3%
256030 1
3.3%
226940 1
3.3%
138398 1
3.3%
122477 1
3.3%
60736 1
3.3%
35939 1
3.3%
26491 1
3.3%
16106 1
3.3%

영상영상채널명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:19:51.254992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length9.0333333
Min length2

Characters and Unicode

Total characters271
Distinct characters97
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st rowLime Tube[라임튜브]
2nd row스튜디오 틔움
3rd row기리TV
4th row디지틀조선TV
5th rowALL THE K-POP
ValueCountFrequency (%)
sbs 3
 
5.5%
채널a 3
 
5.5%
my 2
 
3.6%
entertainment 2
 
3.6%
mapo마포구 2
 
3.6%
life 1
 
1.8%
english 1
 
1.8%
고수뷰티 1
 
1.8%
gosoo 1
 
1.8%
beauty 1
 
1.8%
Other values (38) 38
69.1%
2023-12-10T23:19:51.709746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
9.2%
S 11
 
4.1%
o 10
 
3.7%
T 10
 
3.7%
e 9
 
3.3%
E 9
 
3.3%
a 8
 
3.0%
B 8
 
3.0%
n 7
 
2.6%
O 6
 
2.2%
Other values (87) 168
62.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 88
32.5%
Other Letter 82
30.3%
Lowercase Letter 73
26.9%
Space Separator 25
 
9.2%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
채 4
 
4.9%
널 4
 
4.9%
디 4
 
4.9%
브 4
 
4.9%
튜 4
 
4.9%
구 4
 
4.9%
시 2
 
2.4%
공 2
 
2.4%
식 2
 
2.4%
스 2
 
2.4%
Other values (44) 50
61.0%
Uppercase Letter
ValueCountFrequency (%)
S 11
12.5%
T 10
11.4%
E 9
10.2%
B 8
 
9.1%
O 6
 
6.8%
A 6
 
6.8%
L 5
 
5.7%
V 5
 
5.7%
M 5
 
5.7%
R 3
 
3.4%
Other values (12) 20
22.7%
Lowercase Letter
ValueCountFrequency (%)
o 10
13.7%
e 9
12.3%
a 8
11.0%
n 7
9.6%
t 6
8.2%
i 6
8.2%
r 5
6.8%
m 5
6.8%
y 3
 
4.1%
p 3
 
4.1%
Other values (7) 11
15.1%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 161
59.4%
Hangul 82
30.3%
Common 28
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
채 4
 
4.9%
널 4
 
4.9%
디 4
 
4.9%
브 4
 
4.9%
튜 4
 
4.9%
구 4
 
4.9%
시 2
 
2.4%
공 2
 
2.4%
식 2
 
2.4%
스 2
 
2.4%
Other values (44) 50
61.0%
Latin
ValueCountFrequency (%)
S 11
 
6.8%
o 10
 
6.2%
T 10
 
6.2%
e 9
 
5.6%
E 9
 
5.6%
a 8
 
5.0%
B 8
 
5.0%
n 7
 
4.3%
O 6
 
3.7%
t 6
 
3.7%
Other values (29) 77
47.8%
Common
ValueCountFrequency (%)
25
89.3%
[ 1
 
3.6%
] 1
 
3.6%
- 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189
69.7%
Hangul 82
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
 
13.2%
S 11
 
5.8%
o 10
 
5.3%
T 10
 
5.3%
e 9
 
4.8%
E 9
 
4.8%
a 8
 
4.2%
B 8
 
4.2%
n 7
 
3.7%
O 6
 
3.2%
Other values (33) 86
45.5%
Hangul
ValueCountFrequency (%)
채 4
 
4.9%
널 4
 
4.9%
디 4
 
4.9%
브 4
 
4.9%
튜 4
 
4.9%
구 4
 
4.9%
시 2
 
2.4%
공 2
 
2.4%
식 2
 
2.4%
스 2
 
2.4%
Other values (44) 50
61.0%

Interactions

2023-12-10T23:19:48.404962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.176956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.634203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.043153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.479044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.282371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.741341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.127757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.561129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.387263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.846723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.219471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.641069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.509040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:47.963412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:19:48.312397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:19:51.863814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여영상경로명수참여영상좋아요수참여영상싫어요수참여영상시청수영상영상채널명
참여영상경로명1.0001.0001.0001.0001.0001.000
수1.0001.0000.8200.6780.6781.000
참여영상좋아요수1.0000.8201.0001.0000.7861.000
참여영상싫어요수1.0000.6781.0001.0000.9851.000
참여영상시청수1.0000.6780.7860.9851.0001.000
영상영상채널명1.0001.0001.0001.0001.0001.000
2023-12-10T23:19:52.019420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수참여영상좋아요수참여영상싫어요수참여영상시청수
수1.0000.7780.8170.779
참여영상좋아요수0.7781.0000.9480.882
참여영상싫어요수0.8170.9481.0000.905
참여영상시청수0.7790.8820.9051.000

Missing values

2023-12-10T23:19:48.733319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:19:48.831735image/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=Hdxvc2mAW7E2021-04-010465419452314257Lime Tube[라임튜브]
1https://www.youtube.com/watch?v=cj1IZz5S4Ms2021-04-0100034스튜디오 틔움
2https://www.youtube.com/watch?v=LOGETMBvV9A2021-04-013791861104292757기리TV
3https://www.youtube.com/watch?v=pr3yQH7Qy7k2021-04-011872529디지틀조선TV
4https://www.youtube.com/watch?v=_ANHugCIQTg2021-04-0116037201026491ALL THE K-POP
5https://www.youtube.com/watch?v=MayuDm0mZmg2021-04-0100028my Mapo마포구
6https://www.youtube.com/watch?v=8tx2WnRdviE2021-04-0187535649MBCNEWS
7https://www.youtube.com/watch?v=Ht7PMJSCuk82021-04-01000231SBS STORY
8https://www.youtube.com/watch?v=VqCc3d9HvOI2021-04-01892268코리폴TV
9https://www.youtube.com/watch?v=kiib7VOdA9E2021-04-01040823HoDoo Pro Replays
참여영상경로명참여영상수집일자수참여영상좋아요수참여영상싫어요수참여영상시청수영상영상채널명
20https://www.youtube.com/watch?v=hz3xyTemxYQ2021-04-0118483773122477디렉터 짱구대디
21https://www.youtube.com/watch?v=WDYb2raR7fc2021-04-01010189군산시 공식채널
22https://www.youtube.com/watch?v=aKGYYbRFIC42021-04-01873504035939승끼
23https://www.youtube.com/watch?v=iQVBj_3hmLA2021-04-010301635후투브
24https://www.youtube.com/watch?v=Mc9GQ8yODFI2021-04-010801532EBS ENGLISH
25https://www.youtube.com/watch?v=waBv0LqUtEo2021-04-0100034채널A Life
26https://www.youtube.com/watch?v=aBbXW3fUh0s2021-04-01000236채널A
27https://www.youtube.com/watch?v=ufbJMo9UZRs2021-04-0101013my Mapo마포구
28https://www.youtube.com/watch?v=Eqvjnt6-7zc2021-04-0100085인천중구TV
29https://www.youtube.com/watch?v=ZLm6kCcd_Ls2021-04-01000151Arirang TV