Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory82.4 B

Variable types

Categorical4
Text1
Numeric4

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/3f13c59a-d9e3-4fce-aa8c-ec03f1e06b36

Alerts

이용자활동평가채널ID has constant value ""Constant
이용자활동평가생성기간 has constant value ""Constant
이용자활동평가채널조회수 has constant value ""Constant
이용자활동평가구독자수 has constant value ""Constant
이용자활동평가영상조회수 is highly overall correlated with 수High correlation
이용자활동평가긍정평가비율 is highly overall correlated with 이용자활동평가부정평가비율High correlation
이용자활동평가부정평가비율 is highly overall correlated with 이용자활동평가긍정평가비율High correlation
수 is highly overall correlated with 이용자활동평가영상조회수High correlation
이용자활동평가영상ID has unique valuesUnique
이용자활동평가영상조회수 has unique valuesUnique
수 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:14:10.502019
Analysis finished2023-12-10 14:14:14.469398
Duration3.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용자활동평가채널ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg
30 

Length

Max length56
Median length56
Mean length56
Min length56

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg
2nd rowhttps://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg
3rd rowhttps://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg
4th rowhttps://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg
5th rowhttps://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg

Common Values

ValueCountFrequency (%)
https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJg 30
100.0%

Length

2023-12-10T23:14:14.591465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:14.753644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.youtube.com/channel/uce52oeb7xv_kajsezckxjjg 30
100.0%

이용자활동평가영상ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:14:15.127310image/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=xXh95-_Mxsc
2nd rowhttps://www.youtube.com/watch?v=udgboFStMkU
3rd rowhttps://www.youtube.com/watch?v=N5KDjJQ06Hw
4th rowhttps://www.youtube.com/watch?v=6IOwwtqx6SM
5th rowhttps://www.youtube.com/watch?v=QmREewMKM98
ValueCountFrequency (%)
https://www.youtube.com/watch?v=xxh95-_mxsc 1
 
3.3%
https://www.youtube.com/watch?v=udgbofstmku 1
 
3.3%
https://www.youtube.com/watch?v=8ctd-la9a2m 1
 
3.3%
https://www.youtube.com/watch?v=cdk42un3sbw 1
 
3.3%
https://www.youtube.com/watch?v=cdh5gpvcmye 1
 
3.3%
https://www.youtube.com/watch?v=dqtdkoee4ky 1
 
3.3%
https://www.youtube.com/watch?v=f7tnjcpemoy 1
 
3.3%
https://www.youtube.com/watch?v=imdvvfy9slk 1
 
3.3%
https://www.youtube.com/watch?v=-3khqshw9l4 1
 
3.3%
https://www.youtube.com/watch?v=x8sqjwkemg4 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:14:16.022278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 126
 
9.8%
t 124
 
9.6%
/ 90
 
7.0%
h 69
 
5.3%
u 66
 
5.1%
c 66
 
5.1%
o 65
 
5.0%
. 60
 
4.7%
m 38
 
2.9%
e 35
 
2.7%
Other values (59) 551
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 845
65.5%
Other Punctuation 210
 
16.3%
Uppercase Letter 141
 
10.9%
Decimal Number 54
 
4.2%
Math Symbol 30
 
2.3%
Dash Punctuation 5
 
0.4%
Connector Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 126
14.9%
t 124
14.7%
h 69
 
8.2%
u 66
 
7.8%
c 66
 
7.8%
o 65
 
7.7%
m 38
 
4.5%
e 35
 
4.1%
v 34
 
4.0%
p 34
 
4.0%
Other values (16) 188
22.2%
Uppercase Letter
ValueCountFrequency (%)
M 12
 
8.5%
S 8
 
5.7%
E 8
 
5.7%
V 8
 
5.7%
A 8
 
5.7%
K 7
 
5.0%
I 7
 
5.0%
Q 6
 
4.3%
R 6
 
4.3%
Y 6
 
4.3%
Other values (16) 65
46.1%
Decimal Number
ValueCountFrequency (%)
3 7
13.0%
5 7
13.0%
9 7
13.0%
4 6
11.1%
6 6
11.1%
0 5
9.3%
2 4
7.4%
8 4
7.4%
1 4
7.4%
7 4
7.4%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
? 30
 
14.3%
: 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 986
76.4%
Common 304
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 126
 
12.8%
t 124
 
12.6%
h 69
 
7.0%
u 66
 
6.7%
c 66
 
6.7%
o 65
 
6.6%
m 38
 
3.9%
e 35
 
3.5%
v 34
 
3.4%
p 34
 
3.4%
Other values (42) 329
33.4%
Common
ValueCountFrequency (%)
/ 90
29.6%
. 60
19.7%
= 30
 
9.9%
? 30
 
9.9%
: 30
 
9.9%
3 7
 
2.3%
5 7
 
2.3%
9 7
 
2.3%
4 6
 
2.0%
6 6
 
2.0%
Other values (7) 31
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 126
 
9.8%
t 124
 
9.6%
/ 90
 
7.0%
h 69
 
5.3%
u 66
 
5.1%
c 66
 
5.1%
o 65
 
5.0%
. 60
 
4.7%
m 38
 
2.9%
e 35
 
2.7%
Other values (59) 551
42.7%

이용자활동평가생성기간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-10-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-01
2nd row2020-10-01
3rd row2020-10-01
4th row2020-10-01
5th row2020-10-01

Common Values

ValueCountFrequency (%)
2020-10-01 30
100.0%

Length

2023-12-10T23:14:16.432795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:16.611727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-01 30
100.0%

이용자활동평가채널조회수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
6241867403
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6241867403
2nd row6241867403
3rd row6241867403
4th row6241867403
5th row6241867403

Common Values

ValueCountFrequency (%)
6241867403 30
100.0%

Length

2023-12-10T23:14:16.788316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:16.940127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6241867403 30
100.0%

이용자활동평가구독자수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
8450000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8450000
2nd row8450000
3rd row8450000
4th row8450000
5th row8450000

Common Values

ValueCountFrequency (%)
8450000 30
100.0%

Length

2023-12-10T23:14:17.104255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:17.280056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8450000 30
100.0%

이용자활동평가영상조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49747.767
Minimum1597
Maximum387961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:14:17.437448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1597
5-th percentile4001.85
Q18839
median19428
Q354185.25
95-th percentile198988.15
Maximum387961
Range386364
Interquartile range (IQR)45346.25

Descriptive statistics

Standard deviation80974.606
Coefficient of variation (CV)1.6277033
Kurtosis10.702401
Mean49747.767
Median Absolute Deviation (MAD)12362.5
Skewness3.1034164
Sum1492433
Variance6.5568868 × 109
MonotonicityNot monotonic
2023-12-10T23:14:17.666120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
22382 1
 
3.3%
11759 1
 
3.3%
57685 1
 
3.3%
387961 1
 
3.3%
32898 1
 
3.3%
170755 1
 
3.3%
5340 1
 
3.3%
222088 1
 
3.3%
4493 1
 
3.3%
12099 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1597 1
3.3%
3600 1
3.3%
4493 1
3.3%
5340 1
3.3%
6791 1
3.3%
7340 1
3.3%
7750 1
3.3%
8733 1
3.3%
9157 1
3.3%
11759 1
3.3%
ValueCountFrequency (%)
387961 1
3.3%
222088 1
3.3%
170755 1
3.3%
89617 1
3.3%
83002 1
3.3%
70978 1
3.3%
65837 1
3.3%
57685 1
3.3%
43686 1
3.3%
32898 1
3.3%

이용자활동평가긍정평가비율
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.42
Minimum98.2
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:14:17.935667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.2
5-th percentile98.545
Q199.225
median99.5
Q399.8
95-th percentile99.855
Maximum99.9
Range1.7
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.4513581
Coefficient of variation (CV)0.0045399125
Kurtosis0.71100641
Mean99.42
Median Absolute Deviation (MAD)0.3
Skewness-1.2008444
Sum2982.6
Variance0.20372414
MonotonicityNot monotonic
2023-12-10T23:14:18.159166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
99.8 7
23.3%
99.5 5
16.7%
99.7 4
13.3%
99.2 2
 
6.7%
99.9 2
 
6.7%
98.9 2
 
6.7%
99.3 2
 
6.7%
99.6 1
 
3.3%
98.8 1
 
3.3%
99.4 1
 
3.3%
Other values (3) 3
10.0%
ValueCountFrequency (%)
98.2 1
 
3.3%
98.5 1
 
3.3%
98.6 1
 
3.3%
98.8 1
 
3.3%
98.9 2
 
6.7%
99.2 2
 
6.7%
99.3 2
 
6.7%
99.4 1
 
3.3%
99.5 5
16.7%
99.6 1
 
3.3%
ValueCountFrequency (%)
99.9 2
 
6.7%
99.8 7
23.3%
99.7 4
13.3%
99.6 1
 
3.3%
99.5 5
16.7%
99.4 1
 
3.3%
99.3 2
 
6.7%
99.2 2
 
6.7%
98.9 2
 
6.7%
98.8 1
 
3.3%

이용자활동평가부정평가비율
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58
Minimum0.1
Maximum1.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:14:18.395386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.145
Q10.2
median0.5
Q30.775
95-th percentile1.455
Maximum1.8
Range1.7
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.4513581
Coefficient of variation (CV)0.77820363
Kurtosis0.71100641
Mean0.58
Median Absolute Deviation (MAD)0.3
Skewness1.2008444
Sum17.4
Variance0.20372414
MonotonicityNot monotonic
2023-12-10T23:14:18.613468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.2 7
23.3%
0.5 5
16.7%
0.3 4
13.3%
0.8 2
 
6.7%
0.1 2
 
6.7%
1.1 2
 
6.7%
0.7 2
 
6.7%
0.4 1
 
3.3%
1.2 1
 
3.3%
0.6 1
 
3.3%
Other values (3) 3
10.0%
ValueCountFrequency (%)
0.1 2
 
6.7%
0.2 7
23.3%
0.3 4
13.3%
0.4 1
 
3.3%
0.5 5
16.7%
0.6 1
 
3.3%
0.7 2
 
6.7%
0.8 2
 
6.7%
1.1 2
 
6.7%
1.2 1
 
3.3%
ValueCountFrequency (%)
1.8 1
 
3.3%
1.5 1
 
3.3%
1.4 1
 
3.3%
1.2 1
 
3.3%
1.1 2
 
6.7%
0.8 2
 
6.7%
0.7 2
 
6.7%
0.6 1
 
3.3%
0.5 5
16.7%
0.4 1
 
3.3%

수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.6
Minimum26
Maximum1770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:14:18.955401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile35.45
Q158.75
median134.5
Q3239.25
95-th percentile1352.3
Maximum1770
Range1744
Interquartile range (IQR)180.5

Descriptive statistics

Standard deviation453.22413
Coefficient of variation (CV)1.387704
Kurtosis3.5382698
Mean326.6
Median Absolute Deviation (MAD)90
Skewness2.0377964
Sum9798
Variance205412.11
MonotonicityNot monotonic
2023-12-10T23:14:19.238764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
241 1
 
3.3%
77 1
 
3.3%
147 1
 
3.3%
1472 1
 
3.3%
190 1
 
3.3%
617 1
 
3.3%
36 1
 
3.3%
1770 1
 
3.3%
41 1
 
3.3%
116 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
26 1
3.3%
35 1
3.3%
36 1
3.3%
41 1
3.3%
43 1
3.3%
44 1
3.3%
49 1
3.3%
54 1
3.3%
73 1
3.3%
76 1
3.3%
ValueCountFrequency (%)
1770 1
3.3%
1472 1
3.3%
1206 1
3.3%
799 1
3.3%
743 1
3.3%
673 1
3.3%
617 1
3.3%
241 1
3.3%
234 1
3.3%
224 1
3.3%

Interactions

2023-12-10T23:14:13.173943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:10.835078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:11.638596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:12.416587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:13.363212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:11.090757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:11.900951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:12.606202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:13.527501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:11.259485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:12.104701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:12.808270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:13.762175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:11.473780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:12.277942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:12.967254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:14:19.409859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동평가영상ID이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
이용자활동평가영상ID1.0001.0001.0001.0001.000
이용자활동평가영상조회수1.0001.0000.0000.0000.893
이용자활동평가긍정평가비율1.0000.0001.0001.0000.000
이용자활동평가부정평가비율1.0000.0001.0001.0000.000
수1.0000.8930.0000.0001.000
2023-12-10T23:14:19.586440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
이용자활동평가영상조회수1.0000.224-0.2240.883
이용자활동평가긍정평가비율0.2241.000-1.0000.461
이용자활동평가부정평가비율-0.224-1.0001.000-0.461
수0.8830.461-0.4611.000

Missing values

2023-12-10T23:14:14.005283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:14:14.330197image/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

이용자활동평가채널ID이용자활동평가영상ID이용자활동평가생성기간이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
0https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=xXh95-_Mxsc2020-10-01624186740384500002238299.50.5241
1https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=udgboFStMkU2020-10-01624186740384500001814599.20.8170
2https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=N5KDjJQ06Hw2020-10-0162418674038450000775099.70.354
3https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=6IOwwtqx6SM2020-10-0162418674038450000679199.50.5104
4https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=QmREewMKM982020-10-01624186740384500001614599.80.2160
5https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=V6Rvoiddm3Q2020-10-0162418674038450000915799.20.835
6https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=VEOVP0MhS6Q2020-10-0162418674038450000734099.60.473
7https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=P_sRLyhnDco2020-10-0162418674038450000873399.80.2109
8https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=mWIEal9Ao9A2020-10-0162418674038450000360099.50.544
9https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=4s5IjVKuqU82020-10-01624186740384500001632599.50.549
이용자활동평가채널ID이용자활동평가영상ID이용자활동평가생성기간이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
20https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=W-ZK2uPq7jA2020-10-01624186740384500002376799.30.7145
21https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=x8SqJWKemG42020-10-0162418674038450000159799.30.726
22https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=-3KhqShw9L42020-10-01624186740384500001209999.80.2116
23https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=ImdVVFY9Slk2020-10-0162418674038450000449398.21.841
24https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=F7TNJCpEMOY2020-10-016241867403845000022208899.80.21770
25https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=DqTdkOeE4kY2020-10-0162418674038450000534099.80.236
26https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=cDh5gpvCMYE2020-10-016241867403845000017075598.91.1617
27https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=Cdk42uN3SBw2020-10-01624186740384500003289899.70.3190
28https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=8cTD-lA9A2M2020-10-016241867403845000038796199.50.51472
29https://www.youtube.com/channel/UCe52oeb7Xv_KaJsEzcKXJJghttps://www.youtube.com/watch?v=TRCkeUt1mZI2020-10-01624186740384500005768598.61.4147