Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells33
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory95.4 B

Variable types

Text6
DateTime2
Categorical2
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://www.bigdata-region.kr/#/dataset/96924a0b-3f71-4153-a376-c42b5e7f932d

Alerts

수집일자 has constant value ""Constant
채널범주명 has constant value ""Constant
구독자수공개여부 is highly imbalanced (64.7%)Imbalance
채널키워드명 has 13 (43.3%) missing valuesMissing
비구독자노출영상ID has 20 (66.7%) missing valuesMissing
채널경로명 has unique valuesUnique
채널생성일자 has unique valuesUnique
채널아이콘명 has unique valuesUnique
채널명 has unique valuesUnique
구독자수 has 6 (20.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:51:57.937652
Analysis finished2023-12-10 13:52:00.161549
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널경로명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:52:00.462891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1680
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UC4m32WwBZs9-HnvObkYWa7Q
2nd rowhttps://www.youtube.com/channel/UCLxqFcn1fN3M920bZNWF3sQ
3rd rowhttps://www.youtube.com/channel/UCAu_EG8dulFbh1uMn28xqRA
4th rowhttps://www.youtube.com/channel/UCKg7qsqL6KaJ7fJvphtQLWw
5th rowhttps://www.youtube.com/channel/UCHnOVDGn3T4BmvCEbGocr5Q
ValueCountFrequency (%)
https://www.youtube.com/channel/uc4m32wwbzs9-hnvobkywa7q 1
 
3.3%
https://www.youtube.com/channel/uclxqfcn1fn3m920bznwf3sq 1
 
3.3%
https://www.youtube.com/channel/uc8lnz5yqqis8kcujfuawssq 1
 
3.3%
https://www.youtube.com/channel/ucbqpl6fc51hlg6ik0rzjvpg 1
 
3.3%
https://www.youtube.com/channel/uclmwtnakxisyiw6omgmfvqw 1
 
3.3%
https://www.youtube.com/channel/uc6w7iui4mull3zbr-cajkjw 1
 
3.3%
https://www.youtube.com/channel/ucj5qakop1uffu5b7rtwptha 1
 
3.3%
https://www.youtube.com/channel/ucqg_h5x9-9zyeaoytt_sc6g 1
 
3.3%
https://www.youtube.com/channel/uc5-pihlqy-rdnr8hdgjcmsa 1
 
3.3%
https://www.youtube.com/channel/uca0tev1sgcjt1gecu97t-bq 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:52:01.152218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 102
 
6.1%
t 99
 
5.9%
o 76
 
4.5%
c 75
 
4.5%
u 72
 
4.3%
h 70
 
4.2%
e 69
 
4.1%
n 68
 
4.0%
. 60
 
3.6%
Other values (57) 869
51.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1016
60.5%
Uppercase Letter 314
 
18.7%
Other Punctuation 210
 
12.5%
Decimal Number 117
 
7.0%
Connector Punctuation 14
 
0.8%
Dash Punctuation 9
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 102
 
10.0%
t 99
 
9.7%
o 76
 
7.5%
c 75
 
7.4%
u 72
 
7.1%
h 70
 
6.9%
e 69
 
6.8%
n 68
 
6.7%
a 43
 
4.2%
s 41
 
4.0%
Other values (16) 301
29.6%
Uppercase Letter
ValueCountFrequency (%)
U 42
 
13.4%
C 39
 
12.4%
Q 21
 
6.7%
A 17
 
5.4%
R 15
 
4.8%
W 13
 
4.1%
T 12
 
3.8%
B 12
 
3.8%
K 10
 
3.2%
G 10
 
3.2%
Other values (16) 123
39.2%
Decimal Number
ValueCountFrequency (%)
8 17
14.5%
7 15
12.8%
1 14
12.0%
5 14
12.0%
3 11
9.4%
6 11
9.4%
0 11
9.4%
2 9
7.7%
9 8
6.8%
4 7
6.0%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1330
79.2%
Common 350
 
20.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 102
 
7.7%
t 99
 
7.4%
o 76
 
5.7%
c 75
 
5.6%
u 72
 
5.4%
h 70
 
5.3%
e 69
 
5.2%
n 68
 
5.1%
a 43
 
3.2%
U 42
 
3.2%
Other values (42) 614
46.2%
Common
ValueCountFrequency (%)
/ 120
34.3%
. 60
17.1%
: 30
 
8.6%
8 17
 
4.9%
7 15
 
4.3%
1 14
 
4.0%
5 14
 
4.0%
_ 14
 
4.0%
3 11
 
3.1%
6 11
 
3.1%
Other values (5) 44
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 102
 
6.1%
t 99
 
5.9%
o 76
 
4.5%
c 75
 
4.5%
u 72
 
4.3%
h 70
 
4.2%
e 69
 
4.1%
n 68
 
4.0%
. 60
 
3.6%
Other values (57) 869
51.7%

수집일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2019-12-21 00:00:00
Maximum2019-12-21 00:00:00
2023-12-10T22:52:01.418303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:01.682156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

채널생성일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2010-04-13 00:00:00
Maximum2019-11-25 00:00:00
2023-12-10T22:52:01.878319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:02.057523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

채널아이콘명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:52:02.526183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length95
Mean length94.933333
Min length93

Characters and Unicode

Total characters2848
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://yt3.ggpht.com/a/AGF-l79A7htGUvIZHh3F3MLpK6forFjcm0inTBvwVA=s88-c-k-c0xffffffff-no-rj-mo
2nd rowhttps://yt3.ggpht.com/a/AGF-l7_nRxzwfrfAnup63oC6QX96GtIkLAiuJhsSSw=s88-c-k-c0xffffffff-no-rj-mo
3rd rowhttps://yt3.ggpht.com/a/AGF-l7-YlbssSWisCkHtoxa6EZbB_QM57Swz_5Tf4g=s88-c-k-c0xffffffff-no-rj-mo
4th rowhttps://yt3.ggpht.com/a/AGF-l79y0sajPNbcnUBy3G4w7ddxNM_AkJVSPWTDXQ=s88-c-k-c0xffffffff-no-rj-mo
5th rowhttps://yt3.ggpht.com/a/AGF-l79uB_FTBMRDbvQaqdhBdjSo2xBG69yel3wyEQ=s88-c-k-c0xffffffff-no-rj-mo
ValueCountFrequency (%)
https://yt3.ggpht.com/a/agf-l79a7htguvizhh3f3mlpk6forfjcm0intbvwva=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l7_nrxzwfrfanup63oc6qx96gtiklaiujhsssw=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l7-k3kmmr_wy0dkmliygmxhcpgwgfjqj7sxela=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l7_cpapol7vm7vnpebarpjg07b95pmefk6rhjq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l78xf-mzsuh5pclupmfnwbfisbj51krohogloq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l79m9vb-epxlvnkqbp_gagawf5cors0dipthbg=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l7-ao2xeikyrgwd_ey9euzipskpdivnqdydsdg=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l78ub_24-0hdahw0zasurbmbqwnalkdzqve9qq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l7_rtqj7llxbmvqjysn4pa-csq3lfcktqasaea=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/agf-l7-uu6ixnm3hgy8hdipxsru4nrgp_lxq3c2e6a=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:52:03.179523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 253
 
8.9%
- 232
 
8.1%
t 133
 
4.7%
/ 120
 
4.2%
c 108
 
3.8%
o 104
 
3.7%
g 79
 
2.8%
m 78
 
2.7%
s 78
 
2.7%
8 78
 
2.7%
Other values (58) 1585
55.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1497
52.6%
Uppercase Letter 543
 
19.1%
Decimal Number 315
 
11.1%
Dash Punctuation 232
 
8.1%
Other Punctuation 210
 
7.4%
Math Symbol 30
 
1.1%
Connector Punctuation 21
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 253
16.9%
t 133
 
8.9%
c 108
 
7.2%
o 104
 
6.9%
g 79
 
5.3%
m 78
 
5.2%
s 78
 
5.2%
p 76
 
5.1%
h 75
 
5.0%
j 52
 
3.5%
Other values (16) 461
30.8%
Uppercase Letter
ValueCountFrequency (%)
A 60
 
11.0%
G 48
 
8.8%
F 48
 
8.8%
Q 26
 
4.8%
L 23
 
4.2%
S 21
 
3.9%
E 20
 
3.7%
Z 20
 
3.7%
P 19
 
3.5%
V 18
 
3.3%
Other values (16) 240
44.2%
Decimal Number
ValueCountFrequency (%)
8 78
24.8%
0 51
16.2%
7 46
14.6%
3 44
14.0%
9 23
 
7.3%
2 18
 
5.7%
6 16
 
5.1%
5 14
 
4.4%
4 13
 
4.1%
1 12
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2040
71.6%
Common 808
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 253
 
12.4%
t 133
 
6.5%
c 108
 
5.3%
o 104
 
5.1%
g 79
 
3.9%
m 78
 
3.8%
s 78
 
3.8%
p 76
 
3.7%
h 75
 
3.7%
A 60
 
2.9%
Other values (42) 996
48.8%
Common
ValueCountFrequency (%)
- 232
28.7%
/ 120
14.9%
8 78
 
9.7%
. 60
 
7.4%
0 51
 
6.3%
7 46
 
5.7%
3 44
 
5.4%
= 30
 
3.7%
: 30
 
3.7%
9 23
 
2.8%
Other values (6) 94
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 253
 
8.9%
- 232
 
8.1%
t 133
 
4.7%
/ 120
 
4.2%
c 108
 
3.8%
o 104
 
3.7%
g 79
 
2.8%
m 78
 
2.7%
s 78
 
2.7%
8 78
 
2.7%
Other values (58) 1585
55.7%

채널설명
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:52:03.502432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length935
Median length104.5
Mean length117.4
Min length2

Characters and Unicode

Total characters3522
Distinct characters492
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)83.3%

Sample

1st row언제나 자유롭게 만두와 깜상 그리고 나 의 일상을 즐겨요 .....! 세상 사는 모든것이 볼거리.....
2nd row부동산Tip; 휴식Tip; 주방Tip 등~
3rd row\N
4th row이재민의 여행은 국내외 스토리가 있는 아름다운 여행지를 찾아 다니면서 볼거리; 먹거리; 살거리를 영상 제작하여 공유함으로써 많은 사람들에게 여행 정보를 제공하기 위함. 신이 인간에게 내린 최고의 선물이 여행; 또한 여행은 익숙한 곳과의 헤어짐인 동시에 낮선 곳과의 만남이라 늘 설레는 마음이라서 취미생활로 즐김.
5th row\N
ValueCountFrequency (%)
20
 
2.9%
있습니다 7
 
1.0%
다양한 6
 
0.9%
여행 6
 
0.9%
볼거리 6
 
0.9%
수 5
 
0.7%
n 5
 
0.7%
등 4
 
0.6%
째째 4
 
0.6%
스포츠 4
 
0.6%
Other values (547) 611
90.1%
2023-12-10T22:52:03.989543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
703
 
20.0%
. 87
 
2.5%
이 59
 
1.7%
; 53
 
1.5%
다 48
 
1.4%
o 46
 
1.3%
하 41
 
1.2%
a 41
 
1.2%
니 40
 
1.1%
' 36
 
1.0%
Other values (482) 2368
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1936
55.0%
Space Separator 703
 
20.0%
Lowercase Letter 435
 
12.4%
Other Punctuation 254
 
7.2%
Uppercase Letter 86
 
2.4%
Decimal Number 60
 
1.7%
Math Symbol 11
 
0.3%
Other Symbol 8
 
0.2%
Close Punctuation 7
 
0.2%
Dash Punctuation 7
 
0.2%
Other values (5) 15
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 59
 
3.0%
다 48
 
2.5%
하 41
 
2.1%
니 40
 
2.1%
에 34
 
1.8%
의 31
 
1.6%
는 31
 
1.6%
리 30
 
1.5%
인 24
 
1.2%
아 23
 
1.2%
Other values (395) 1575
81.4%
Uppercase Letter
ValueCountFrequency (%)
T 11
12.8%
C 9
 
10.5%
N 7
 
8.1%
B 6
 
7.0%
Y 5
 
5.8%
V 5
 
5.8%
D 5
 
5.8%
O 5
 
5.8%
A 5
 
5.8%
M 4
 
4.7%
Other values (14) 24
27.9%
Lowercase Letter
ValueCountFrequency (%)
o 46
 
10.6%
a 41
 
9.4%
t 36
 
8.3%
i 30
 
6.9%
e 29
 
6.7%
c 26
 
6.0%
n 25
 
5.7%
r 22
 
5.1%
s 22
 
5.1%
h 22
 
5.1%
Other values (12) 136
31.3%
Other Punctuation
ValueCountFrequency (%)
. 87
34.3%
; 53
20.9%
' 36
14.2%
! 24
 
9.4%
? 20
 
7.9%
: 18
 
7.1%
@ 6
 
2.4%
\ 5
 
2.0%
。 2
 
0.8%
& 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 10
16.7%
2 9
15.0%
0 9
15.0%
8 8
13.3%
4 6
10.0%
7 4
 
6.7%
3 4
 
6.7%
9 4
 
6.7%
6 3
 
5.0%
5 3
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 4
36.4%
→ 3
27.3%
+ 1
 
9.1%
= 1
 
9.1%
＜ 1
 
9.1%
＞ 1
 
9.1%
Other Symbol
ValueCountFrequency (%)
♥ 3
37.5%
♡ 2
25.0%
☞ 1
 
12.5%
☜ 1
 
12.5%
▽ 1
 
12.5%
Modifier Symbol
ValueCountFrequency (%)
´ 1
50.0%
` 1
50.0%
Space Separator
ValueCountFrequency (%)
703
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1916
54.4%
Common 1065
30.2%
Latin 521
 
14.8%
Katakana 12
 
0.3%
Hiragana 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 59
 
3.1%
다 48
 
2.5%
하 41
 
2.1%
니 40
 
2.1%
에 34
 
1.8%
의 31
 
1.6%
는 31
 
1.6%
리 30
 
1.6%
인 24
 
1.3%
아 23
 
1.2%
Other values (379) 1555
81.2%
Latin
ValueCountFrequency (%)
o 46
 
8.8%
a 41
 
7.9%
t 36
 
6.9%
i 30
 
5.8%
e 29
 
5.6%
c 26
 
5.0%
n 25
 
4.8%
r 22
 
4.2%
s 22
 
4.2%
h 22
 
4.2%
Other values (36) 222
42.6%
Common
ValueCountFrequency (%)
703
66.0%
. 87
 
8.2%
; 53
 
5.0%
' 36
 
3.4%
! 24
 
2.3%
? 20
 
1.9%
: 18
 
1.7%
1 10
 
0.9%
2 9
 
0.8%
0 9
 
0.8%
Other values (31) 96
 
9.0%
Katakana
ValueCountFrequency (%)
チ 3
25.0%
ャ 2
16.7%
ル 2
16.7%
ネ 1
 
8.3%
ン 1
 
8.3%
ョ 1
 
8.3%
イ 1
 
8.3%
バ 1
 
8.3%
Hiragana
ValueCountFrequency (%)
ね 1
12.5%
く 1
12.5%
し 1
12.5%
ろ 1
12.5%
よ 1
12.5%
す 1
12.5%
で 1
12.5%
の 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1914
54.3%
ASCII 1568
44.5%
Katakana 12
 
0.3%
Hiragana 8
 
0.2%
Misc Symbols 7
 
0.2%
None 5
 
0.1%
Arrows 3
 
0.1%
Compat Jamo 2
 
0.1%
Punctuation 2
 
0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
703
44.8%
. 87
 
5.5%
; 53
 
3.4%
o 46
 
2.9%
a 41
 
2.6%
' 36
 
2.3%
t 36
 
2.3%
i 30
 
1.9%
e 29
 
1.8%
c 26
 
1.7%
Other values (65) 481
30.7%
Hangul
ValueCountFrequency (%)
이 59
 
3.1%
다 48
 
2.5%
하 41
 
2.1%
니 40
 
2.1%
에 34
 
1.8%
의 31
 
1.6%
는 31
 
1.6%
리 30
 
1.6%
인 24
 
1.3%
아 23
 
1.2%
Other values (378) 1553
81.1%
Misc Symbols
ValueCountFrequency (%)
♥ 3
42.9%
♡ 2
28.6%
☞ 1
 
14.3%
☜ 1
 
14.3%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Katakana
ValueCountFrequency (%)
チ 3
25.0%
ャ 2
16.7%
ル 2
16.7%
ネ 1
 
8.3%
ン 1
 
8.3%
ョ 1
 
8.3%
イ 1
 
8.3%
バ 1
 
8.3%
None
ValueCountFrequency (%)
。 2
40.0%
´ 1
20.0%
＜ 1
20.0%
＞ 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%
Hiragana
ValueCountFrequency (%)
ね 1
12.5%
く 1
12.5%
し 1
12.5%
ろ 1
12.5%
よ 1
12.5%
す 1
12.5%
で 1
12.5%
の 1
12.5%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%
Geometric Shapes
ValueCountFrequency (%)
▽ 1
100.0%

채널범주명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
볼거리 30
100.0%

Length

2023-12-10T22:52:04.188959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:52:04.327393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
볼거리 30
100.0%

채널명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:52:04.558921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14.5
Mean length7.4
Min length2

Characters and Unicode

Total characters222
Distinct characters116
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 rowaraTV 만두아빠 아라TV
2nd row사소한Tip
3rd row68 jimi
4th row이재민의여행
5th row박명진
ValueCountFrequency (%)
2
 
4.0%
tv 2
 
4.0%
aratv 1
 
2.0%
당나발 1
 
2.0%
서면오피 1
 
2.0%
mbc 1
 
2.0%
sports 1
 
2.0%
우리양이 1
 
2.0%
j엉뚱한걸 1
 
2.0%
태 1
 
2.0%
Other values (38) 38
76.0%
2023-12-10T22:52:05.206357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
9.0%
이 7
 
3.2%
T 6
 
2.7%
a 5
 
2.3%
오 5
 
2.3%
p 5
 
2.3%
i 5
 
2.3%
O 5
 
2.3%
C 5
 
2.3%
t 5
 
2.3%
Other values (106) 154
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
47.3%
Uppercase Letter 43
19.4%
Lowercase Letter 42
 
18.9%
Space Separator 20
 
9.0%
Decimal Number 7
 
3.2%
Other Punctuation 2
 
0.9%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
6.7%
오 5
 
4.8%
스 3
 
2.9%
피 3
 
2.9%
아 3
 
2.9%
서 2
 
1.9%
파 2
 
1.9%
티 2
 
1.9%
백 2
 
1.9%
코 2
 
1.9%
Other values (64) 74
70.5%
Uppercase Letter
ValueCountFrequency (%)
T 6
14.0%
O 5
11.6%
C 5
11.6%
V 5
11.6%
S 4
9.3%
P 3
7.0%
A 3
7.0%
M 2
 
4.7%
H 2
 
4.7%
J 2
 
4.7%
Other values (6) 6
14.0%
Lowercase Letter
ValueCountFrequency (%)
a 5
11.9%
p 5
11.9%
i 5
11.9%
t 5
11.9%
e 4
9.5%
r 3
7.1%
n 2
 
4.8%
v 2
 
4.8%
y 2
 
4.8%
s 2
 
4.8%
Other values (5) 7
16.7%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
2 1
14.3%
6 1
14.3%
4 1
14.3%
8 1
14.3%
1 1
14.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
47.3%
Latin 85
38.3%
Common 32
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
6.7%
오 5
 
4.8%
스 3
 
2.9%
피 3
 
2.9%
아 3
 
2.9%
서 2
 
1.9%
파 2
 
1.9%
티 2
 
1.9%
백 2
 
1.9%
코 2
 
1.9%
Other values (64) 74
70.5%
Latin
ValueCountFrequency (%)
T 6
 
7.1%
a 5
 
5.9%
p 5
 
5.9%
i 5
 
5.9%
O 5
 
5.9%
C 5
 
5.9%
t 5
 
5.9%
V 5
 
5.9%
e 4
 
4.7%
S 4
 
4.7%
Other values (21) 36
42.4%
Common
ValueCountFrequency (%)
20
62.5%
. 2
 
6.2%
0 2
 
6.2%
[ 1
 
3.1%
] 1
 
3.1%
+ 1
 
3.1%
2 1
 
3.1%
6 1
 
3.1%
4 1
 
3.1%
8 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
52.7%
Hangul 105
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
 
17.1%
T 6
 
5.1%
a 5
 
4.3%
p 5
 
4.3%
i 5
 
4.3%
O 5
 
4.3%
C 5
 
4.3%
t 5
 
4.3%
V 5
 
4.3%
e 4
 
3.4%
Other values (32) 52
44.4%
Hangul
ValueCountFrequency (%)
이 7
 
6.7%
오 5
 
4.8%
스 3
 
2.9%
피 3
 
2.9%
아 3
 
2.9%
서 2
 
1.9%
파 2
 
1.9%
티 2
 
1.9%
백 2
 
1.9%
코 2
 
1.9%
Other values (64) 74
70.5%

구독자수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8533.8333
Minimum0
Maximum113000
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:52:05.427548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24.5
Q3242.25
95-th percentile63890
Maximum113000
Range113000
Interquartile range (IQR)238.25

Descriptive statistics

Standard deviation25628.799
Coefficient of variation (CV)3.0031989
Kurtosis11.002849
Mean8533.8333
Median Absolute Deviation (MAD)24.5
Skewness3.3492001
Sum256015
Variance6.5683532 × 108
MonotonicityNot monotonic
2023-12-10T22:52:05.602708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 6
20.0%
8 2
 
6.7%
24 1
 
3.3%
113000 1
 
3.3%
129 1
 
3.3%
62 1
 
3.3%
45300 1
 
3.3%
513 1
 
3.3%
5350 1
 
3.3%
7 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 6
20.0%
1 1
 
3.3%
3 1
 
3.3%
7 1
 
3.3%
8 2
 
6.7%
9 1
 
3.3%
12 1
 
3.3%
23 1
 
3.3%
24 1
 
3.3%
25 1
 
3.3%
ValueCountFrequency (%)
113000 1
3.3%
79100 1
3.3%
45300 1
3.3%
11200 1
3.3%
5350 1
3.3%
826 1
3.3%
513 1
3.3%
280 1
3.3%
129 1
3.3%
62 1
3.3%

구독자수공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
False
28 
True
 
2
ValueCountFrequency (%)
False 28
93.3%
True 2
 
6.7%
2023-12-10T22:52:05.765658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
KR
17 
<NA>
12 
US
 
1

Length

Max length4
Median length2
Mean length2.8
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st rowKR
2nd rowKR
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
KR 17
56.7%
<NA> 12
40.0%
US 1
 
3.3%

Length

2023-12-10T22:52:05.946970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:52:06.141710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 17
56.7%
na 12
40.0%
us 1
 
3.3%

채널키워드명
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2023-12-10T22:52:06.651118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length383
Median length34
Mean length62.647059
Min length2

Characters and Unicode

Total characters1065
Distinct characters253
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

Unique17 ?
Unique (%)100.0%

Sample

1st row''강아지 자동차 애완견 고양이 취미 낚시 레져 칼 국궁 도끼 연장 공구 생활 약초 금''
2nd row사소한팁 소소한팁
3rd row일상 독서 브이로그
4th rowERiCa MC Model Actress Entertainer
5th row버츄얼 유튜버
ValueCountFrequency (%)
여행 4
 
1.9%
엠스플 3
 
1.4%
취미 3
 
1.4%
vlog 3
 
1.4%
bts 2
 
1.0%
치유 2
 
1.0%
아마오 2
 
1.0%
다이어트 2
 
1.0%
게임 2
 
1.0%
mbc 2
 
1.0%
Other values (176) 185
88.1%
2023-12-10T22:52:07.439730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
18.1%
' 52
 
4.9%
# 48
 
4.5%
o 21
 
2.0%
e 21
 
2.0%
스 19
 
1.8%
s 17
 
1.6%
a 17
 
1.6%
r 16
 
1.5%
이 14
 
1.3%
Other values (243) 647
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
46.2%
Space Separator 193
 
18.1%
Lowercase Letter 191
 
17.9%
Other Punctuation 100
 
9.4%
Uppercase Letter 78
 
7.3%
Decimal Number 10
 
0.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 19
 
3.9%
이 14
 
2.8%
여 11
 
2.2%
행 11
 
2.2%
아 11
 
2.2%
마 11
 
2.2%
구 10
 
2.0%
리 8
 
1.6%
오 8
 
1.6%
소 8
 
1.6%
Other values (193) 381
77.4%
Lowercase Letter
ValueCountFrequency (%)
o 21
11.0%
e 21
11.0%
s 17
 
8.9%
a 17
 
8.9%
r 16
 
8.4%
t 14
 
7.3%
i 12
 
6.3%
n 11
 
5.8%
g 9
 
4.7%
l 8
 
4.2%
Other values (11) 45
23.6%
Uppercase Letter
ValueCountFrequency (%)
L 14
17.9%
B 10
12.8%
M 9
11.5%
A 7
9.0%
C 6
7.7%
S 6
7.7%
R 4
 
5.1%
P 4
 
5.1%
E 4
 
5.1%
O 3
 
3.8%
Other values (8) 11
14.1%
Decimal Number
ValueCountFrequency (%)
3 2
20.0%
9 2
20.0%
1 2
20.0%
0 1
10.0%
2 1
10.0%
8 1
10.0%
7 1
10.0%
Other Punctuation
ValueCountFrequency (%)
' 52
52.0%
# 48
48.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
46.2%
Common 304
28.5%
Latin 269
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 19
 
3.9%
이 14
 
2.8%
여 11
 
2.2%
행 11
 
2.2%
아 11
 
2.2%
마 11
 
2.2%
구 10
 
2.0%
리 8
 
1.6%
오 8
 
1.6%
소 8
 
1.6%
Other values (193) 381
77.4%
Latin
ValueCountFrequency (%)
o 21
 
7.8%
e 21
 
7.8%
s 17
 
6.3%
a 17
 
6.3%
r 16
 
5.9%
L 14
 
5.2%
t 14
 
5.2%
i 12
 
4.5%
n 11
 
4.1%
B 10
 
3.7%
Other values (29) 116
43.1%
Common
ValueCountFrequency (%)
193
63.5%
' 52
 
17.1%
# 48
 
15.8%
3 2
 
0.7%
9 2
 
0.7%
1 2
 
0.7%
0 1
 
0.3%
2 1
 
0.3%
8 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 573
53.8%
Hangul 492
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
33.7%
' 52
 
9.1%
# 48
 
8.4%
o 21
 
3.7%
e 21
 
3.7%
s 17
 
3.0%
a 17
 
3.0%
r 16
 
2.8%
L 14
 
2.4%
t 14
 
2.4%
Other values (40) 160
27.9%
Hangul
ValueCountFrequency (%)
스 19
 
3.9%
이 14
 
2.8%
여 11
 
2.2%
행 11
 
2.2%
아 11
 
2.2%
마 11
 
2.2%
구 10
 
2.0%
리 8
 
1.6%
오 8
 
1.6%
소 8
 
1.6%
Other values (193) 381
77.4%

비구독자노출영상ID
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2023-12-10T22:52:07.772385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters110
Distinct characters54
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowK_nbe0_ibpg
2nd row5DJfoti0oRs
3rd rowZMcLsMQ5QHQ
4th rowmy_U9RKlJXY
5th rowV1hVVOg_N7w
ValueCountFrequency (%)
k_nbe0_ibpg 1
10.0%
5djfoti0ors 1
10.0%
zmclsmq5qhq 1
10.0%
my_u9rkljxy 1
10.0%
v1hvvog_n7w 1
10.0%
66yxklqd7tm 1
10.0%
ula8ylql0fy 1
10.0%
bfu3fjlmpsy 1
10.0%
fmdmzseydes 1
10.0%
t1ex4mlibok 1
10.0%
2023-12-10T22:52:08.297431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
L 5
 
4.5%
M 5
 
4.5%
Y 5
 
4.5%
Q 4
 
3.6%
b 4
 
3.6%
_ 4
 
3.6%
l 3
 
2.7%
0 3
 
2.7%
F 3
 
2.7%
D 3
 
2.7%
Other values (44) 71
64.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 51
46.4%
Lowercase Letter 40
36.4%
Decimal Number 15
 
13.6%
Connector Punctuation 4
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
b 4
 
10.0%
l 3
 
7.5%
m 3
 
7.5%
s 3
 
7.5%
k 2
 
5.0%
y 2
 
5.0%
g 2
 
5.0%
t 2
 
5.0%
o 2
 
5.0%
f 2
 
5.0%
Other values (13) 15
37.5%
Uppercase Letter
ValueCountFrequency (%)
L 5
 
9.8%
M 5
 
9.8%
Y 5
 
9.8%
Q 4
 
7.8%
F 3
 
5.9%
D 3
 
5.9%
V 3
 
5.9%
X 2
 
3.9%
U 2
 
3.9%
O 2
 
3.9%
Other values (11) 17
33.3%
Decimal Number
ValueCountFrequency (%)
0 3
20.0%
1 2
13.3%
7 2
13.3%
6 2
13.3%
5 2
13.3%
4 1
 
6.7%
3 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 91
82.7%
Common 19
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 5
 
5.5%
M 5
 
5.5%
Y 5
 
5.5%
Q 4
 
4.4%
b 4
 
4.4%
l 3
 
3.3%
F 3
 
3.3%
D 3
 
3.3%
m 3
 
3.3%
s 3
 
3.3%
Other values (34) 53
58.2%
Common
ValueCountFrequency (%)
_ 4
21.1%
0 3
15.8%
1 2
10.5%
7 2
10.5%
6 2
10.5%
5 2
10.5%
4 1
 
5.3%
3 1
 
5.3%
8 1
 
5.3%
9 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
L 5
 
4.5%
M 5
 
4.5%
Y 5
 
4.5%
Q 4
 
3.6%
b 4
 
3.6%
_ 4
 
3.6%
l 3
 
2.7%
0 3
 
2.7%
F 3
 
2.7%
D 3
 
2.7%
Other values (44) 71
64.5%

Interactions

2023-12-10T22:51:59.427694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:52:08.456210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널경로명채널생성일자채널아이콘명채널설명채널명구독자수구독자수공개여부채널국가명채널키워드명비구독자노출영상ID
채널경로명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널아이콘명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널설명1.0001.0001.0001.0001.0000.0001.0001.0001.0001.000
채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
구독자수1.0001.0001.0000.0001.0001.0000.0000.0001.0001.000
구독자수공개여부1.0001.0001.0001.0001.0000.0001.0000.2961.0001.000
채널국가명1.0001.0001.0001.0001.0000.0000.2961.0001.0001.000
채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
비구독자노출영상ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-10T22:52:08.677772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널국가명구독자수공개여부
채널국가명1.0000.182
구독자수공개여부0.1821.000
2023-12-10T22:52:08.797921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구독자수구독자수공개여부채널국가명
구독자수1.0000.0000.000
구독자수공개여부0.0001.0000.182
채널국가명0.0000.1821.000

Missing values

2023-12-10T22:51:59.612194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:51:59.853408image/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.
2023-12-10T22:52:00.068359image/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

채널경로명수집일자채널생성일자채널아이콘명채널설명채널범주명채널명구독자수구독자수공개여부채널국가명채널키워드명비구독자노출영상ID
0https://www.youtube.com/channel/UC4m32WwBZs9-HnvObkYWa7Q2019-12-212019-10-24https://yt3.ggpht.com/a/AGF-l79A7htGUvIZHh3F3MLpK6forFjcm0inTBvwVA=s88-c-k-c0xffffffff-no-rj-mo언제나 자유롭게 만두와 깜상 그리고 나 의 일상을 즐겨요 .....! 세상 사는 모든것이 볼거리.....볼거리araTV 만두아빠 아라TV24FalseKR''강아지 자동차 애완견 고양이 취미 낚시 레져 칼 국궁 도끼 연장 공구 생활 약초 금''<NA>
1https://www.youtube.com/channel/UCLxqFcn1fN3M920bZNWF3sQ2019-12-212019-03-20https://yt3.ggpht.com/a/AGF-l7_nRxzwfrfAnup63oC6QX96GtIkLAiuJhsSSw=s88-c-k-c0xffffffff-no-rj-mo부동산Tip; 휴식Tip; 주방Tip 등~볼거리사소한Tip25FalseKR사소한팁 소소한팁K_nbe0_ibpg
2https://www.youtube.com/channel/UCAu_EG8dulFbh1uMn28xqRA2019-12-212017-03-05https://yt3.ggpht.com/a/AGF-l7-YlbssSWisCkHtoxa6EZbB_QM57Swz_5Tf4g=s88-c-k-c0xffffffff-no-rj-mo\N볼거리68 jimi8False<NA><NA><NA>
3https://www.youtube.com/channel/UCKg7qsqL6KaJ7fJvphtQLWw2019-12-212019-10-22https://yt3.ggpht.com/a/AGF-l79y0sajPNbcnUBy3G4w7ddxNM_AkJVSPWTDXQ=s88-c-k-c0xffffffff-no-rj-mo이재민의 여행은 국내외 스토리가 있는 아름다운 여행지를 찾아 다니면서 볼거리; 먹거리; 살거리를 영상 제작하여 공유함으로써 많은 사람들에게 여행 정보를 제공하기 위함. 신이 인간에게 내린 최고의 선물이 여행; 또한 여행은 익숙한 곳과의 헤어짐인 동시에 낮선 곳과의 만남이라 늘 설레는 마음이라서 취미생활로 즐김.볼거리이재민의여행9False<NA><NA><NA>
4https://www.youtube.com/channel/UCHnOVDGn3T4BmvCEbGocr5Q2019-12-212012-11-26https://yt3.ggpht.com/a/AGF-l79uB_FTBMRDbvQaqdhBdjSo2xBG69yel3wyEQ=s88-c-k-c0xffffffff-no-rj-mo\N볼거리박명진8False<NA><NA><NA>
5https://www.youtube.com/channel/UC1_EwU8FrOy0OeboJovS9Wg2019-12-212017-12-23https://yt3.ggpht.com/a/AGF-l78_osYKWCtUVDjWecjPrZZm5wjFFPriamFzCA=s88-c-k-c0xffffffff-no-rj-mo샹이의사생활은게임채널에서 볼수없었던새로운학교 브이로그 컨텐츠들과다양한 볼거리가 있습니다직접사서리뷰하는 리뷰시간 스튜디오와 학교에서 펼쳐지는 다양한콘텐츠한번보면헤어나올수없는재미있는동영상들을볼수있습니다볼거리사생활샹이의0False<NA><NA><NA>
6https://www.youtube.com/channel/UC8ojazgGeIlpSO_ZU_6QB3g2019-12-212012-10-29https://yt3.ggpht.com/a/AGF-l7_S7ZLRybRZZw08N4m141T1Pjb608p0Bc1TJg=s88-c-k-c0xffffffff-no-rj-mo발레리나가 꿈인 째째 치마를 좋아하는 째째 라면을 좋아하는 째째 식목일이 생일인 째째 2016.04.05 채빈이 April 5; 2016 Chae bin Korean baby볼거리째째튜브딸이랑 노는 법31FalseKR일상 독서 브이로그<NA>
7https://www.youtube.com/channel/UC4ij8PRYQukh5ogiOT45stA2019-12-212018-06-05https://yt3.ggpht.com/a/AGF-l7-c9Y5VdN4e50NaDryI9tjs8wNjI9oO4kUNmg=s88-c-k-c0xffffffff-no-rj-mo\N볼거리오지산35False<NA><NA><NA>
8https://www.youtube.com/channel/UCc9jTnKLeCWeBBM8ZfRJ83Q2019-12-212010-04-16https://yt3.ggpht.com/a/AGF-l78qxxLK3P9Zuk7btdvM-FDYeH5Khl5ecLDDDg=s88-c-k-c0xffffffff-no-rj-mo\N볼거리W2enter TV280FalseKRERiCa MC Model Actress Entertainer5DJfoti0oRs
9https://www.youtube.com/channel/UC88sBmjTDbWDcRRw8oX2QUQ2019-12-212015-08-07https://yt3.ggpht.com/a/AGF-l79wgUQdAUu9diCkEO2FHGsb37ax6eV2H9770Q=s88-c-k-c0xffffffff-no-rj-mo패션블로거 베키시즌; 패션 및 다양한 여행 라이프스타일 공유 :)볼거리백희tv30False<NA><NA><NA>
채널경로명수집일자채널생성일자채널아이콘명채널설명채널범주명채널명구독자수구독자수공개여부채널국가명채널키워드명비구독자노출영상ID
20https://www.youtube.com/channel/UC7ivcAWzTqH1P3SGTvAilwQ2019-12-212019-11-08https://yt3.ggpht.com/a/AGF-l7928ufZu6P37SjGRk6MVRnU8ULcXo4KZk0o0A=s88-c-k-c0xffffffff-no-rj-mo태국 골프 & 여행. 태국어 골프용어. 맛집. 볼거리.먹거리 자유여행. 에메랄드. 이스턴스타. 해군 골프장 뿌따루엉 골프클럽볼거리태. 꼴. 여39False<NA><NA><NA>
21https://www.youtube.com/channel/UCa0tEv1SgCjt1GecU97T-bQ2019-12-212013-06-01https://yt3.ggpht.com/a/AGF-l7-uu6iXnm3hgy8hdiPxSRu4NRGP_LxQ3c2E6A=s88-c-k-c0xffffffff-no-rj-mo당 나발 입니다 다양한 볼거리 사회 문화 생활 패션 모든분야에 영상을 편집하지않고 보여드려요 ☞구독 ♥ 좋아요 ☜눌러주세요 오늘도 행복하세요 with this email address or 네이밴드 https:band.us@ucc2000 http:appu.kr?i=12194965볼거리당나발7FalseKR생활<NA>
22https://www.youtube.com/channel/UC5-pIHlqy-RdNR8HdGjCmSA2019-12-212019-04-05https://yt3.ggpht.com/a/AGF-l7_rTQJ7LLxbmVQJySn4pa-cSQ3lFCktqasaEA=s88-c-k-c0xffffffff-no-rj-mo캘리포니아 열정아줌마의 일상 엿보기 개인방송 코코썬티비는 엘에이에 사는 이민 12년차 40대 아줌마의 채널입니다. 내 자신을 사랑하고 내가 진심으로 원하는 일을 하면서 그 안에서 찾는 소소한 행복! 코코썬만의 미국일상;패션 뷰티 노하우;다이어트꿀팁정보; 맛집탐방;이벤트소개 등등.. 1. 코코 VLOG- 맛집로드 집밥스피드요리.먹방; califonia 볼거리 2. 코코 다이어트 - 다이어트 식단; 다이어트 요리; 운동 3. 코코 스타일 - Fashion; beauty; 리폼 노하우; outfit of the day! Get ready with me! 코코써누의 채널에서 함께.. 진솔하게 소통하면서 신선한 자극도 받고; 나만의 삶속에서 소소한 행복을 찾기를 바랍니다.. https:www.facebook.comseonwoo.cocoseonwoo.3 Instagram- cocosun_tv볼거리COCOSUNTV코코썬티비5350FalseKR미국아줌마 아줌마유투버 vlog 다이어트 먹방uLa8ylQL0fY
23https://www.youtube.com/channel/UCqg_h5x9-9zYEaOYtt_Sc6g2019-12-212019-01-06https://yt3.ggpht.com/a/AGF-l78ub_24-0HdAHw0zAsURbmbqWNalKdZQvE9qQ=s88-c-k-c0xffffffff-no-rj-mo향기 치유 연구소의 일상과 강의등을 할 예정입니다. 일단 향기 치유 연구소의 소장님이 강의를 준비하고 있습니다.볼거리PAPA파파513FalseKR'향기 치유 향기나 '향기 치유 연구소' 허브 아로마테라피 허벌리스트 아로마테라피스트'bFU3FjlMPSY
24https://www.youtube.com/channel/UCj5QAkop1UfFU5b7RTwpThA2019-12-212019-11-25https://yt3.ggpht.com/a/AGF-l7-Ao2XEikYRgWd_EY9euZiPSKPDivnQDyDSdg=s88-c-k-c0xffffffff-no-rj-mo아산의 볼거리; 즐길거리; 먹거리 중심으로 안내하고자 합니다.볼거리아산 맛보기0FalseKR<NA><NA>
25https://www.youtube.com/channel/UC6w7IuI4mull3zbR-cajKJw2019-12-212019-08-28https://yt3.ggpht.com/a/AGF-l79m9VB-EPXLVNKQbP_gAGAwf5cors0DIpTHbg=s88-c-k-c0xffffffff-no-rj-mo1973 골.친 채널(당 채널은 1973;골친 전용채널)로 라운딩간에 아니면;모임간에 다양한 에피소드와 볼거리 등의 영상을 제공합니다. 구독은 할꺼면 하고 말려면 마시고;좋아요 따위는 누르지 마세요~잘 모릅니다.볼거리김준영0FalseKR1973 골친<NA>
26https://www.youtube.com/channel/UCLmWTNAKxIsYiw6oMGMFvqw2019-12-212019-02-10https://yt3.ggpht.com/a/AGF-l78XF-mZSuH5PclupMfNwBfISbJ51kroHOGlOQ=s88-c-k-c0xffffffff-no-rj-mo세상사는 이야기볼거리Happy TV [ 해피 티브이 ]0TrueUS'#여행 #낚시 #등산 #게임 #취미 #돈버는법 #korea #tour #k-pop #news #story #money #market #shopping #해외여행 #색소폰 #하모니카 #품바 #양푼이 #문재인 #청와대 #김정은 #삼식이 #스페인 #유럽 #동남아 #노래 #댄스 #유시민 #봄 #가족 #생일 #남자친구 #여자친구 #방탄소년단 #bts #BTS #신상 #SEOUL #서울 #인천공항 #유튜브 #구글 #다음 #은행 #날씨 #일본여행 '#오키나와 여행' 스페인여행'FmdMZSeYDEs
27https://www.youtube.com/channel/UCBQpl6Fc51HlG6Ik0RZjVPg2019-12-212013-05-25https://yt3.ggpht.com/a/AGF-l7_cPApOl7Vm7VnpebArPjG07b95PMEfk6rHJQ=s88-c-k-c0xffffffff-no-rj-mo\N볼거리주태백이45300False<NA><NA>T1Ex4mLIbOk
28https://www.youtube.com/channel/UC8LNz5YQqis8KCujfuAWSsQ2019-12-212014-11-24https://yt3.ggpht.com/a/AGF-l7-k3KMMR_Wy0dKMLIYgmXhCpgWGFjQj7SXELA=s88-c-k-c0xffffffff-no-rj-mo당신의 Playlist가 되고싶어.볼거리미린62False<NA><NA><NA>
29https://www.youtube.com/channel/UC0zv47i8L6DcWRS5gu-oodg2019-12-212015-05-03https://yt3.ggpht.com/a/AGF-l79HaOnnBTmVcFGnHjxr_-dwmilOeOx2qLXTUg=s88-c-k-c0xffffffff-no-rj-mo문화; 예술; 스포츠; 뉴스24; YMBA 국제언론인클럽 어느 한 쪽에 치우치지 않고 인류의 행복과 공동의 선을 추구하는 지혜를 찾기 위해 더 크게 눈을 뜨고 시청자 곁을 지키겠습니다. 서울문화방송은 그룹 내 다양한 창을 통해 끊임없이 진화하고 있습니다. 미디어 신기술의 적용과 새로운 정보 수요에 대응해 항상 선도적인 역할을 해왔습니다. 서울문화방송이 '지혜의 눈' 을 통해 내일을 보고 세상을 밝게 만들어 나갈 수 있도록 늘 성원해주시고 지켜봐 주시기 바랍니다. 유익하고 좋은 볼거리를 제공하는 방송이 되도록 노력하겠습니다.볼거리뉴스데스크129FalseKR국제언론인클럽<NA>