Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells14
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory96.3 B

Variable types

Text6
Categorical3
DateTime1
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/02e3aa99-7773-4b90-b441-b1ebbcf771c6

Alerts

채널수집일자 has constant value ""Constant
채널구독자수 is highly overall correlated with 채널국가High correlation
채널국가 is highly overall correlated with 채널구독자수High correlation
채널채널설명 has 3 (12.0%) missing valuesMissing
채널채널키워드명 has 5 (20.0%) missing valuesMissing
영상 has 6 (24.0%) missing valuesMissing
채널채널경로명 has unique valuesUnique
채널채널생성일자 has unique valuesUnique
채널아이콘 has unique valuesUnique
채널채널명 has unique valuesUnique
채널구독자수 has 3 (12.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:04:15.404057
Analysis finished2023-12-10 14:04:17.859745
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널채널경로명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:04:18.205754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1400
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UCCjjxZxmneCU5t-Ojw8L_0w
2nd rowhttps://www.youtube.com/channel/UC9_P2M9ITOnxAo4fBiT2Vxw
3rd rowhttps://www.youtube.com/channel/UC-PHIZjV-oX8H7zD1cCN2NQ
4th rowhttps://www.youtube.com/channel/UCUbL5EMa0gHIMFIxkdtqy7A
5th rowhttps://www.youtube.com/channel/UCWmsfzhGApDCtQXGUhDNvnQ
ValueCountFrequency (%)
https://www.youtube.com/channel/uccjjxzxmnecu5t-ojw8l_0w 1
 
4.0%
https://www.youtube.com/channel/ucgviywdjm32r0uuyabve7pq 1
 
4.0%
https://www.youtube.com/channel/uczamp7mtfx7j3ip4glmsllw 1
 
4.0%
https://www.youtube.com/channel/ucvhey9fiwma-o809hk-ghea 1
 
4.0%
https://www.youtube.com/channel/ucyhujgah6hhoujokzrupkpq 1
 
4.0%
https://www.youtube.com/channel/ucedtii4xo9jzpcotcucqgrq 1
 
4.0%
https://www.youtube.com/channel/uca5agxsjoanrpcp-fkj52mg 1
 
4.0%
https://www.youtube.com/channel/uch6fowygacpmcd6dfohbafa 1
 
4.0%
https://www.youtube.com/channel/ucrhpvb6nyaqyxzzvcyfebbw 1
 
4.0%
https://www.youtube.com/channel/uc9_093tak3bxyzft84efbvg 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T23:04:18.870738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 100
 
7.1%
w 87
 
6.2%
t 85
 
6.1%
h 62
 
4.4%
c 58
 
4.1%
e 58
 
4.1%
n 55
 
3.9%
u 54
 
3.9%
o 54
 
3.9%
. 50
 
3.6%
Other values (57) 737
52.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 851
60.8%
Uppercase Letter 266
 
19.0%
Other Punctuation 175
 
12.5%
Decimal Number 92
 
6.6%
Dash Punctuation 10
 
0.7%
Connector Punctuation 6
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 87
 
10.2%
t 85
 
10.0%
h 62
 
7.3%
c 58
 
6.8%
e 58
 
6.8%
n 55
 
6.5%
u 54
 
6.3%
o 54
 
6.3%
a 42
 
4.9%
p 39
 
4.6%
Other values (16) 257
30.2%
Uppercase Letter
ValueCountFrequency (%)
U 36
 
13.5%
C 35
 
13.2%
Q 13
 
4.9%
A 13
 
4.9%
H 11
 
4.1%
T 11
 
4.1%
M 11
 
4.1%
Z 11
 
4.1%
X 10
 
3.8%
O 10
 
3.8%
Other values (16) 105
39.5%
Decimal Number
ValueCountFrequency (%)
4 15
16.3%
9 11
12.0%
8 10
10.9%
6 10
10.9%
0 9
9.8%
5 9
9.8%
2 9
9.8%
3 7
7.6%
7 7
7.6%
1 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 100
57.1%
. 50
28.6%
: 25
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1117
79.8%
Common 283
 
20.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 87
 
7.8%
t 85
 
7.6%
h 62
 
5.6%
c 58
 
5.2%
e 58
 
5.2%
n 55
 
4.9%
u 54
 
4.8%
o 54
 
4.8%
a 42
 
3.8%
p 39
 
3.5%
Other values (42) 523
46.8%
Common
ValueCountFrequency (%)
/ 100
35.3%
. 50
17.7%
: 25
 
8.8%
4 15
 
5.3%
9 11
 
3.9%
8 10
 
3.5%
- 10
 
3.5%
6 10
 
3.5%
0 9
 
3.2%
5 9
 
3.2%
Other values (5) 34
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 100
 
7.1%
w 87
 
6.2%
t 85
 
6.1%
h 62
 
4.4%
c 58
 
4.1%
e 58
 
4.1%
n 55
 
3.9%
u 54
 
3.9%
o 54
 
3.9%
. 50
 
3.6%
Other values (57) 737
52.6%

채널수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2021-08-01
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-01
2nd row2021-08-01
3rd row2021-08-01
4th row2021-08-01
5th row2021-08-01

Common Values

ValueCountFrequency (%)
2021-08-01 25
100.0%

Length

2023-12-10T23:04:19.115777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:19.251032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-01 25
100.0%

채널채널생성일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2008-01-25 00:00:00
Maximum2019-07-08 00:00:00
2023-12-10T23:04:19.382147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:04:19.571958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

채널아이콘
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:04:20.144952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length98
Mean length100.32
Min length96

Characters and Unicode

Total characters2508
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/Fh-z8O-e0jPbpcudvRb3Ft0vn3MaxXidyD1Vx262YOmj1NM72Cziyw-3ZkqLMEq-VZLnrQIG=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AKedOLT3MQUyCIGg_TBdaY9hryTJJXDpGv_y-OX9wT4b_A=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/NIXyUN63VNSJNVCopAKnZsHOgCDSksQo7815Lx7Bo2WTKxYaFOz7LHHUheF6FW4OlN4-whby=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AKedOLTBrYFKi6QPdXuhyFUprreCnhxfD2IhiOjpPeMNsQ=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AKedOLRB3yjQ84PMTVj_y1H9ZhAQonkqAeMZO-dLYlMtTg=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/fh-z8o-e0jpbpcudvrb3ft0vn3maxxidyd1vx262yomj1nm72cziyw-3zkqlmeq-vzlnrqig=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedoltgmn1vgfcg6hgd7jt1y0lhobua6mcmmadak9b0ig=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolthz3llm6u7yulqy_4mutao1ztds_0w5arob0uqwa=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolss7n2y8qhyz1db7jt5k4ainmfg1vz6m0yjyizuva=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolquobe2f-ep4bwjo25oo7csdzy5pozgwanirulyla=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedoltdl_u5ke3rau6twps05puv-yeyvz7m9kore1achw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolssvc91r70fv8u6dagy8mjigip0zmcdowicco7pdq=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolqpjkihvrxeikaogkhvb9dtihofuk4vkdqggcnz=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedols5w1s6ewwtxrcuvw_rex0nbzjnbwhc-m3tqhgreg=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolsgxslgppwjyq29qrl_sfmaavqo2y7i_-n71rqh=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T23:04:20.919602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 163
 
6.5%
- 143
 
5.7%
t 137
 
5.5%
c 110
 
4.4%
/ 97
 
3.9%
0 94
 
3.7%
p 72
 
2.9%
y 72
 
2.9%
g 72
 
2.9%
h 67
 
2.7%
Other values (58) 1481
59.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1282
51.1%
Uppercase Letter 549
21.9%
Decimal Number 317
 
12.6%
Other Punctuation 172
 
6.9%
Dash Punctuation 143
 
5.7%
Math Symbol 25
 
1.0%
Connector Punctuation 20
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 163
 
12.7%
t 137
 
10.7%
c 110
 
8.6%
p 72
 
5.6%
y 72
 
5.6%
g 72
 
5.6%
h 67
 
5.2%
s 67
 
5.2%
o 63
 
4.9%
n 44
 
3.4%
Other values (16) 415
32.4%
Uppercase Letter
ValueCountFrequency (%)
O 48
 
8.7%
A 46
 
8.4%
K 40
 
7.3%
L 37
 
6.7%
T 28
 
5.1%
I 23
 
4.2%
Q 22
 
4.0%
S 20
 
3.6%
H 19
 
3.5%
R 19
 
3.5%
Other values (16) 247
45.0%
Decimal Number
ValueCountFrequency (%)
0 94
29.7%
8 65
20.5%
3 38
12.0%
7 23
 
7.3%
1 20
 
6.3%
6 17
 
5.4%
2 17
 
5.4%
4 16
 
5.0%
9 14
 
4.4%
5 13
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 97
56.4%
. 50
29.1%
: 25
 
14.5%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1831
73.0%
Common 677
 
27.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 163
 
8.9%
t 137
 
7.5%
c 110
 
6.0%
p 72
 
3.9%
y 72
 
3.9%
g 72
 
3.9%
h 67
 
3.7%
s 67
 
3.7%
o 63
 
3.4%
O 48
 
2.6%
Other values (42) 960
52.4%
Common
ValueCountFrequency (%)
- 143
21.1%
/ 97
14.3%
0 94
13.9%
8 65
9.6%
. 50
 
7.4%
3 38
 
5.6%
= 25
 
3.7%
: 25
 
3.7%
7 23
 
3.4%
_ 20
 
3.0%
Other values (6) 97
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 163
 
6.5%
- 143
 
5.7%
t 137
 
5.5%
c 110
 
4.4%
/ 97
 
3.9%
0 94
 
3.7%
p 72
 
2.9%
y 72
 
2.9%
g 72
 
2.9%
h 67
 
2.7%
Other values (58) 1481
59.1%

채널채널설명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing3
Missing (%)12.0%
Memory size332.0 B
2023-12-10T23:04:21.309860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length600
Median length120
Mean length135.86364
Min length1

Characters and Unicode

Total characters2989
Distinct characters324
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowWelcome to the family! Here you will find information on rookies groups and the latest k-pop disbandment; webtoon reviews & recaps; interviews; vlogs and more. I'm covering lots of Korean entertainment and culture so be sure you click the subscribe and notification bell. Join the family and get ready for a fun time!
2nd rowArirang TVRadio is a public service agency that spreads the uniqueness of Korea to the world through cutting-edge broadcasting mediums. Arirang TVRadio is dedicated to the development of broadcasting; media; and the advertising industry; along with the advancement of culture and art. 아리랑국제방송은 한국을 대표하는 글로벌 방송으로서 전 세계를 대상으로 TV와 Radio를 통해 한국에 대한 국제 사회의 올바른 이해 증진과 지구촌을 더욱 가깝게 만드는 일에 힘쓰고 있습니다. 세계 여러 나라들과의 다양한 프로그램과 문화 교류를 통해 다른 문화를 이해하면서 우리의 모토인 Korea for the World; the World for Korea를 실현해 나가겠습니다. www.arirang.com ⓒ The Korea International Broadcasting Foundation All Rights Reserved
3rd row세상에 있는 수많은 게임들을 모두 플레이 해 보기는 어렵습니다. 그렇기 때문에 저 게임창고 겜창이 대신하여 플레이 해드리겠습니다! 여러분들은 제 영상을 참고하시고 그 게임을 구매할지 말지! 돈을 버리는 게임인지 실한 게임인지! 확인하시면 되겠습니다! 재미있게 보시고 좋아요 구독하기 한번씩 부탁드립니다! 알람 설정까지 해주시면 더 감사합니다!
4th rowNTIS는 과학기술지식정보서비스를 선도하는 세계 최초의 국가 R&D정보 지식포털입니다! 대한민국을 하나로 연결시키는 중심에 NTIS가 있습니다!
5th row희망과 행복의 중심 서귀포시 유튜브 입니다
ValueCountFrequency (%)
the 13
 
2.5%
and 12
 
2.3%
11
 
2.1%
to 7
 
1.3%
is 7
 
1.3%
영상을 5
 
1.0%
for 4
 
0.8%
i'm 4
 
0.8%
subscribe 4
 
0.8%
i 4
 
0.8%
Other values (384) 448
86.3%
2023-12-10T23:04:22.004838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
 
17.8%
e 141
 
4.7%
o 114
 
3.8%
a 110
 
3.7%
t 104
 
3.5%
i 104
 
3.5%
n 96
 
3.2%
r 86
 
2.9%
s 79
 
2.6%
m 55
 
1.8%
Other values (314) 1569
52.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1326
44.4%
Other Letter 841
28.1%
Space Separator 531
17.8%
Other Punctuation 119
 
4.0%
Uppercase Letter 115
 
3.8%
Decimal Number 33
 
1.1%
Math Symbol 7
 
0.2%
Close Punctuation 5
 
0.2%
Dash Punctuation 4
 
0.1%
Other Symbol 3
 
0.1%
Other values (3) 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 30
 
3.6%
니 27
 
3.2%
하 19
 
2.3%
는 16
 
1.9%
시 15
 
1.8%
을 15
 
1.8%
이 14
 
1.7%
한 14
 
1.7%
의 14
 
1.7%
지 13
 
1.5%
Other values (241) 664
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 141
 
10.6%
o 114
 
8.6%
a 110
 
8.3%
t 104
 
7.8%
i 104
 
7.8%
n 96
 
7.2%
r 86
 
6.5%
s 79
 
6.0%
m 55
 
4.1%
l 53
 
4.0%
Other values (14) 384
29.0%
Uppercase Letter
ValueCountFrequency (%)
T 11
 
9.6%
I 11
 
9.6%
A 9
 
7.8%
K 8
 
7.0%
S 7
 
6.1%
Y 7
 
6.1%
B 7
 
6.1%
H 6
 
5.2%
R 6
 
5.2%
M 5
 
4.3%
Other values (13) 38
33.0%
Other Punctuation
ValueCountFrequency (%)
. 48
40.3%
; 23
19.3%
! 21
17.6%
: 12
 
10.1%
' 6
 
5.0%
@ 4
 
3.4%
& 3
 
2.5%
? 2
 
1.7%
Decimal Number
ValueCountFrequency (%)
0 10
30.3%
3 5
15.2%
4 4
 
12.1%
1 4
 
12.1%
8 3
 
9.1%
7 3
 
9.1%
5 2
 
6.1%
2 2
 
6.1%
Other Symbol
ValueCountFrequency (%)
ⓒ 1
33.3%
♥ 1
33.3%
◈ 1
33.3%
Space Separator
ValueCountFrequency (%)
531
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1441
48.2%
Hangul 841
28.1%
Common 707
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 30
 
3.6%
니 27
 
3.2%
하 19
 
2.3%
는 16
 
1.9%
시 15
 
1.8%
을 15
 
1.8%
이 14
 
1.7%
한 14
 
1.7%
의 14
 
1.7%
지 13
 
1.5%
Other values (241) 664
79.0%
Latin
ValueCountFrequency (%)
e 141
 
9.8%
o 114
 
7.9%
a 110
 
7.6%
t 104
 
7.2%
i 104
 
7.2%
n 96
 
6.7%
r 86
 
6.0%
s 79
 
5.5%
m 55
 
3.8%
l 53
 
3.7%
Other values (37) 499
34.6%
Common
ValueCountFrequency (%)
531
75.1%
. 48
 
6.8%
; 23
 
3.3%
! 21
 
3.0%
: 12
 
1.7%
0 10
 
1.4%
~ 7
 
1.0%
' 6
 
0.8%
3 5
 
0.7%
) 5
 
0.7%
Other values (16) 39
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2143
71.7%
Hangul 841
 
28.1%
Punctuation 2
 
0.1%
Enclosed Alphanum 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
24.8%
e 141
 
6.6%
o 114
 
5.3%
a 110
 
5.1%
t 104
 
4.9%
i 104
 
4.9%
n 96
 
4.5%
r 86
 
4.0%
s 79
 
3.7%
m 55
 
2.6%
Other values (59) 723
33.7%
Hangul
ValueCountFrequency (%)
다 30
 
3.6%
니 27
 
3.2%
하 19
 
2.3%
는 16
 
1.9%
시 15
 
1.8%
을 15
 
1.8%
이 14
 
1.7%
한 14
 
1.7%
의 14
 
1.7%
지 13
 
1.5%
Other values (241) 664
79.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
◈ 1
100.0%

채널채널범주명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
MCN
14 
공공기관
8 
TV
3 

Length

Max length4
Median length3
Mean length3.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공기관
2nd rowMCN
3rd rowTV
4th rowMCN
5th row공공기관

Common Values

ValueCountFrequency (%)
MCN 14
56.0%
공공기관 8
32.0%
TV 3
 
12.0%

Length

2023-12-10T23:04:22.671580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:22.860361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 14
56.0%
공공기관 8
32.0%
tv 3
 
12.0%

채널채널명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:04:23.252394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length9
Min length3

Characters and Unicode

Total characters225
Distinct characters103
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row춘천시
2nd rowSara Layne
3rd rowArirang TV
4th row게임창고
5th row국가과학기술지식정보서비스NTIS
ValueCountFrequency (%)
춘천시 1
 
2.4%
entertainment 1
 
2.4%
esports 1
 
2.4%
kbs 1
 
2.4%
jtbc 1
 
2.4%
5시 1
 
2.4%
정치부회의 1
 
2.4%
과천시 1
 
2.4%
개주부 1
 
2.4%
구미시 1
 
2.4%
Other values (31) 31
75.6%
2023-12-10T23:04:23.975974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
7.1%
e 11
 
4.9%
n 10
 
4.4%
a 8
 
3.6%
r 8
 
3.6%
i 6
 
2.7%
t 6
 
2.7%
시 6
 
2.7%
s 5
 
2.2%
K 5
 
2.2%
Other values (93) 144
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
39.1%
Lowercase Letter 69
30.7%
Uppercase Letter 50
22.2%
Space Separator 16
 
7.1%
Decimal Number 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
 
6.8%
정 3
 
3.4%
국 3
 
3.4%
구 3
 
3.4%
부 3
 
3.4%
청 2
 
2.3%
미 2
 
2.3%
천 2
 
2.3%
서 2
 
2.3%
보 2
 
2.3%
Other values (55) 60
68.2%
Uppercase Letter
ValueCountFrequency (%)
K 5
 
10.0%
I 4
 
8.0%
B 4
 
8.0%
T 4
 
8.0%
O 4
 
8.0%
M 3
 
6.0%
A 3
 
6.0%
S 3
 
6.0%
E 3
 
6.0%
C 2
 
4.0%
Other values (11) 15
30.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
15.9%
n 10
14.5%
a 8
11.6%
r 8
11.6%
i 6
8.7%
t 6
8.7%
s 5
7.2%
o 4
 
5.8%
m 3
 
4.3%
g 3
 
4.3%
Other values (4) 5
7.2%
Space Separator
ValueCountFrequency (%)
16
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 119
52.9%
Hangul 88
39.1%
Common 18
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
 
6.8%
정 3
 
3.4%
국 3
 
3.4%
구 3
 
3.4%
부 3
 
3.4%
청 2
 
2.3%
미 2
 
2.3%
천 2
 
2.3%
서 2
 
2.3%
보 2
 
2.3%
Other values (55) 60
68.2%
Latin
ValueCountFrequency (%)
e 11
 
9.2%
n 10
 
8.4%
a 8
 
6.7%
r 8
 
6.7%
i 6
 
5.0%
t 6
 
5.0%
s 5
 
4.2%
K 5
 
4.2%
I 4
 
3.4%
o 4
 
3.4%
Other values (25) 52
43.7%
Common
ValueCountFrequency (%)
16
88.9%
5 1
 
5.6%
- 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
60.9%
Hangul 88
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
 
11.7%
e 11
 
8.0%
n 10
 
7.3%
a 8
 
5.8%
r 8
 
5.8%
i 6
 
4.4%
t 6
 
4.4%
s 5
 
3.6%
K 5
 
3.6%
I 4
 
2.9%
Other values (28) 58
42.3%
Hangul
ValueCountFrequency (%)
시 6
 
6.8%
정 3
 
3.4%
국 3
 
3.4%
구 3
 
3.4%
부 3
 
3.4%
청 2
 
2.3%
미 2
 
2.3%
천 2
 
2.3%
서 2
 
2.3%
보 2
 
2.3%
Other values (55) 60
68.2%

채널구독자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1116841.7
Minimum0
Maximum21500000
Zeros3
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T23:04:24.190012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11210
median5420
Q3309000
95-th percentile2777400
Maximum21500000
Range21500000
Interquartile range (IQR)307790

Descriptive statistics

Standard deviation4297774.7
Coefficient of variation (CV)3.8481503
Kurtosis23.673358
Mean1116841.7
Median Absolute Deviation (MAD)5420
Skewness4.8232506
Sum27921043
Variance1.8470868 × 1013
MonotonicityNot monotonic
2023-12-10T23:04:24.380816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 3
 
12.0%
1210 2
 
8.0%
2830 1
 
4.0%
21500000 1
 
4.0%
807000 1
 
4.0%
56 1
 
4.0%
309000 1
 
4.0%
455000 1
 
4.0%
5420 1
 
4.0%
118 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
0 3
12.0%
56 1
 
4.0%
118 1
 
4.0%
759 1
 
4.0%
1210 2
8.0%
1360 1
 
4.0%
1810 1
 
4.0%
2830 1
 
4.0%
3570 1
 
4.0%
5420 1
 
4.0%
ValueCountFrequency (%)
21500000 1
4.0%
3270000 1
4.0%
807000 1
4.0%
561000 1
4.0%
455000 1
4.0%
442000 1
4.0%
309000 1
4.0%
200000 1
4.0%
147000 1
4.0%
91400 1
4.0%

구독자수비공개정보
Boolean

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
22 
True
3 
ValueCountFrequency (%)
False 22
88.0%
True 3
 
12.0%
2023-12-10T23:04:24.556118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
KR
15 
<NA>
7 
US
2 
AU
 
1

Length

Max length4
Median length2
Mean length2.56
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowKR
2nd rowUS
3rd rowUS
4th rowKR
5th rowKR

Common Values

ValueCountFrequency (%)
KR 15
60.0%
<NA> 7
28.0%
US 2
 
8.0%
AU 1
 
4.0%

Length

2023-12-10T23:04:24.733094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:24.944138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 15
60.0%
na 7
28.0%
us 2
 
8.0%
au 1
 
4.0%

채널채널키워드명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing5
Missing (%)20.0%
Memory size332.0 B
2023-12-10T23:04:25.437532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length312
Median length54.5
Mean length77
Min length4

Characters and Unicode

Total characters1540
Distinct characters269
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row한국 문화 k-pop 케이팝 Korean entertainment Korean music k-pop disbandments k-pop rookies Young Ajummah kpop new groups kpop disbandments kpop concerts kpop vlogs k-pop vlogs k-pop conventions
2nd rowarirang tv korea korean vod youtube kpop news arirangtv song culture issue
3rd rowNTIS 국가과학기술정보서비스 R&D 정부R&D 국가R&D 연구개발 논문 보고서 과학기술 연구동향
4th row서귀포시청 서귀포시 서귀포문화 제주도 제주 서귀포여행 제주여행 서귀포문화 제주문화 문화
5th row행복을 주다 휴복 hubog 우타이테 뮤직 Jpop 일본음악 보컬로이드 kpop cover ヒュボク
ValueCountFrequency (%)
kpop 7
 
2.3%
k-pop 5
 
1.7%
이스포츠 4
 
1.3%
esports 3
 
1.0%
korean 3
 
1.0%
예능 3
 
1.0%
kbs 3
 
1.0%
모바일게임 2
 
0.7%
jyp 2
 
0.7%
vlog 2
 
0.7%
Other values (252) 267
88.7%
2023-12-10T23:04:26.177992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
18.2%
o 58
 
3.8%
n 54
 
3.5%
e 53
 
3.4%
p 38
 
2.5%
s 37
 
2.4%
이 34
 
2.2%
r 34
 
2.2%
a 33
 
2.1%
i 32
 
2.1%
Other values (259) 886
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
42.5%
Lowercase Letter 550
35.7%
Space Separator 281
18.2%
Uppercase Letter 34
 
2.2%
Decimal Number 10
 
0.6%
Dash Punctuation 5
 
0.3%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 34
 
5.2%
스 17
 
2.6%
과 12
 
1.8%
지 12
 
1.8%
천 11
 
1.7%
시 11
 
1.7%
제 10
 
1.5%
미 10
 
1.5%
포 10
 
1.5%
예 9
 
1.4%
Other values (209) 519
79.2%
Lowercase Letter
ValueCountFrequency (%)
o 58
 
10.5%
n 54
 
9.8%
e 53
 
9.6%
p 38
 
6.9%
s 37
 
6.7%
r 34
 
6.2%
a 33
 
6.0%
i 32
 
5.8%
t 31
 
5.6%
u 22
 
4.0%
Other values (14) 158
28.7%
Uppercase Letter
ValueCountFrequency (%)
K 5
14.7%
R 4
11.8%
D 4
11.8%
P 3
8.8%
V 2
 
5.9%
I 2
 
5.9%
O 2
 
5.9%
J 2
 
5.9%
Y 2
 
5.9%
S 1
 
2.9%
Other values (7) 7
20.6%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
0 2
20.0%
1 2
20.0%
9 1
 
10.0%
5 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
# 1
 
20.0%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 651
42.3%
Latin 584
37.9%
Common 301
19.5%
Katakana 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 34
 
5.2%
스 17
 
2.6%
과 12
 
1.8%
지 12
 
1.8%
천 11
 
1.7%
시 11
 
1.7%
제 10
 
1.5%
미 10
 
1.5%
포 10
 
1.5%
예 9
 
1.4%
Other values (205) 515
79.1%
Latin
ValueCountFrequency (%)
o 58
 
9.9%
n 54
 
9.2%
e 53
 
9.1%
p 38
 
6.5%
s 37
 
6.3%
r 34
 
5.8%
a 33
 
5.7%
i 32
 
5.5%
t 31
 
5.3%
u 22
 
3.8%
Other values (31) 192
32.9%
Common
ValueCountFrequency (%)
281
93.4%
- 5
 
1.7%
& 4
 
1.3%
2 4
 
1.3%
0 2
 
0.7%
1 2
 
0.7%
# 1
 
0.3%
9 1
 
0.3%
5 1
 
0.3%
Katakana
ValueCountFrequency (%)
ヒ 1
25.0%
ュ 1
25.0%
ボ 1
25.0%
ク 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 885
57.5%
Hangul 651
42.3%
Katakana 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
31.8%
o 58
 
6.6%
n 54
 
6.1%
e 53
 
6.0%
p 38
 
4.3%
s 37
 
4.2%
r 34
 
3.8%
a 33
 
3.7%
i 32
 
3.6%
t 31
 
3.5%
Other values (40) 234
26.4%
Hangul
ValueCountFrequency (%)
이 34
 
5.2%
스 17
 
2.6%
과 12
 
1.8%
지 12
 
1.8%
천 11
 
1.7%
시 11
 
1.7%
제 10
 
1.5%
미 10
 
1.5%
포 10
 
1.5%
예 9
 
1.4%
Other values (205) 515
79.1%
Katakana
ValueCountFrequency (%)
ヒ 1
25.0%
ュ 1
25.0%
ボ 1
25.0%
ク 1
25.0%

영상
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing6
Missing (%)24.0%
Memory size332.0 B
2023-12-10T23:04:26.483956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters209
Distinct characters60
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

Unique19 ?
Unique (%)100.0%

Sample

1st rowCmCVqlNFgnM
2nd rowHYFFWMUFZEg
3rd rowULomNWpCMNg
4th rowZNLiQsfA2xY
5th rowEOJZA-cucvY
ValueCountFrequency (%)
cmcvqlnfgnm 1
 
5.3%
pu3m-vv4ics 1
 
5.3%
zsh4rml4_a0 1
 
5.3%
dvh7vz-ljeg 1
 
5.3%
8_h6fvlsok0 1
 
5.3%
s2hibmmvnwy 1
 
5.3%
diw7rlcp784 1
 
5.3%
fntfryonu0y 1
 
5.3%
onlusjgopxu 1
 
5.3%
1e-tcv-7yfm 1
 
5.3%
Other values (9) 9
47.4%
2023-12-10T23:04:27.016547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 8
 
3.8%
s 7
 
3.3%
v 6
 
2.9%
4 6
 
2.9%
7 6
 
2.9%
N 6
 
2.9%
g 6
 
2.9%
c 6
 
2.9%
U 6
 
2.9%
- 6
 
2.9%
Other values (50) 146
69.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 87
41.6%
Lowercase Letter 84
40.2%
Decimal Number 29
 
13.9%
Dash Punctuation 6
 
2.9%
Connector Punctuation 3
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 8
 
9.2%
N 6
 
6.9%
U 6
 
6.9%
Y 6
 
6.9%
O 5
 
5.7%
C 5
 
5.7%
F 5
 
5.7%
L 5
 
5.7%
Z 4
 
4.6%
E 4
 
4.6%
Other values (15) 33
37.9%
Lowercase Letter
ValueCountFrequency (%)
s 7
 
8.3%
v 6
 
7.1%
g 6
 
7.1%
c 6
 
7.1%
i 5
 
6.0%
m 5
 
6.0%
n 5
 
6.0%
o 5
 
6.0%
r 4
 
4.8%
u 4
 
4.8%
Other values (15) 31
36.9%
Decimal Number
ValueCountFrequency (%)
4 6
20.7%
7 6
20.7%
8 5
17.2%
0 4
13.8%
2 3
10.3%
1 2
 
6.9%
3 2
 
6.9%
6 1
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 171
81.8%
Common 38
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 8
 
4.7%
s 7
 
4.1%
v 6
 
3.5%
N 6
 
3.5%
g 6
 
3.5%
c 6
 
3.5%
U 6
 
3.5%
Y 6
 
3.5%
i 5
 
2.9%
m 5
 
2.9%
Other values (40) 110
64.3%
Common
ValueCountFrequency (%)
4 6
15.8%
7 6
15.8%
- 6
15.8%
8 5
13.2%
0 4
10.5%
_ 3
7.9%
2 3
7.9%
1 2
 
5.3%
3 2
 
5.3%
6 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 8
 
3.8%
s 7
 
3.3%
v 6
 
2.9%
4 6
 
2.9%
7 6
 
2.9%
N 6
 
2.9%
g 6
 
2.9%
c 6
 
2.9%
U 6
 
2.9%
- 6
 
2.9%
Other values (50) 146
69.9%

Interactions

2023-12-10T23:04:16.638079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:04:27.194637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널채널경로명채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
채널채널경로명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널아이콘1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널범주명1.0001.0001.0001.0001.0001.0000.0000.0000.4611.0001.000
채널채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널구독자수1.0001.0001.0001.0000.0001.0001.0000.000NaN1.0001.000
구독자수비공개정보1.0001.0001.0001.0000.0001.0000.0001.0000.0001.0001.000
채널국가1.0001.0001.0001.0000.4611.000NaN0.0001.0001.0001.000
채널채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-10T23:04:27.452226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구독자수비공개정보채널국가채널채널범주명
구독자수비공개정보1.0000.0000.000
채널국가0.0001.0000.159
채널채널범주명0.0000.1591.000
2023-12-10T23:04:27.598605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널구독자수채널채널범주명구독자수비공개정보채널국가
채널구독자수1.0000.0000.0001.000
채널채널범주명0.0001.0000.0000.159
구독자수비공개정보0.0000.0001.0000.000
채널국가1.0000.1590.0001.000

Missing values

2023-12-10T23:04:16.985507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:04:17.487486image/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.
2023-12-10T23:04:17.723605image/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

채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
0https://www.youtube.com/channel/UCCjjxZxmneCU5t-Ojw8L_0w2021-08-012012-04-18https://yt3.ggpht.com/Fh-z8O-e0jPbpcudvRb3Ft0vn3MaxXidyD1Vx262YOmj1NM72Cziyw-3ZkqLMEq-VZLnrQIG=s88-c-k-c0x00ffffff-no-rj<NA>공공기관춘천시2830FalseKR<NA>CmCVqlNFgnM
1https://www.youtube.com/channel/UC9_P2M9ITOnxAo4fBiT2Vxw2021-08-012012-04-19https://yt3.ggpht.com/ytc/AKedOLT3MQUyCIGg_TBdaY9hryTJJXDpGv_y-OX9wT4b_A=s88-c-k-c0x00ffffff-no-rjWelcome to the family! Here you will find information on rookies groups and the latest k-pop disbandment; webtoon reviews & recaps; interviews; vlogs and more. I'm covering lots of Korean entertainment and culture so be sure you click the subscribe and notification bell. Join the family and get ready for a fun time!MCNSara Layne759FalseUS한국 문화 k-pop 케이팝 Korean entertainment Korean music k-pop disbandments k-pop rookies Young Ajummah kpop new groups kpop disbandments kpop concerts kpop vlogs k-pop vlogs k-pop conventionsHYFFWMUFZEg
2https://www.youtube.com/channel/UC-PHIZjV-oX8H7zD1cCN2NQ2021-08-012013-05-23https://yt3.ggpht.com/NIXyUN63VNSJNVCopAKnZsHOgCDSksQo7815Lx7Bo2WTKxYaFOz7LHHUheF6FW4OlN4-whby=s88-c-k-c0x00ffffff-no-rjArirang TVRadio is a public service agency that spreads the uniqueness of Korea to the world through cutting-edge broadcasting mediums. Arirang TVRadio is dedicated to the development of broadcasting; media; and the advertising industry; along with the advancement of culture and art. 아리랑국제방송은 한국을 대표하는 글로벌 방송으로서 전 세계를 대상으로 TV와 Radio를 통해 한국에 대한 국제 사회의 올바른 이해 증진과 지구촌을 더욱 가깝게 만드는 일에 힘쓰고 있습니다. 세계 여러 나라들과의 다양한 프로그램과 문화 교류를 통해 다른 문화를 이해하면서 우리의 모토인 Korea for the World; the World for Korea를 실현해 나가겠습니다. www.arirang.com ⓒ The Korea International Broadcasting Foundation All Rights ReservedTVArirang TV442000FalseUSarirang tv korea korean vod youtube kpop news arirangtv song culture issueULomNWpCMNg
3https://www.youtube.com/channel/UCUbL5EMa0gHIMFIxkdtqy7A2021-08-012016-05-25https://yt3.ggpht.com/ytc/AKedOLTBrYFKi6QPdXuhyFUprreCnhxfD2IhiOjpPeMNsQ=s88-c-k-c0x00ffffff-no-rj세상에 있는 수많은 게임들을 모두 플레이 해 보기는 어렵습니다. 그렇기 때문에 저 게임창고 겜창이 대신하여 플레이 해드리겠습니다! 여러분들은 제 영상을 참고하시고 그 게임을 구매할지 말지! 돈을 버리는 게임인지 실한 게임인지! 확인하시면 되겠습니다! 재미있게 보시고 좋아요 구독하기 한번씩 부탁드립니다! 알람 설정까지 해주시면 더 감사합니다!MCN게임창고0TrueKR<NA><NA>
4https://www.youtube.com/channel/UCWmsfzhGApDCtQXGUhDNvnQ2021-08-012015-02-11https://yt3.ggpht.com/ytc/AKedOLRB3yjQ84PMTVj_y1H9ZhAQonkqAeMZO-dLYlMtTg=s88-c-k-c0x00ffffff-no-rjNTIS는 과학기술지식정보서비스를 선도하는 세계 최초의 국가 R&D정보 지식포털입니다! 대한민국을 하나로 연결시키는 중심에 NTIS가 있습니다!공공기관국가과학기술지식정보서비스NTIS1360FalseKRNTIS 국가과학기술정보서비스 R&D 정부R&D 국가R&D 연구개발 논문 보고서 과학기술 연구동향ZNLiQsfA2xY
5https://www.youtube.com/channel/UCNI4WSmTUwb0a63BvU8KcWg2021-08-012013-08-22https://yt3.ggpht.com/ytc/AKedOLQIJVYjkHTNsE2dkdTIUwyyv18BsSFvPhvCzLItKQ=s88-c-k-c0x00ffffff-no-rj희망과 행복의 중심 서귀포시 유튜브 입니다공공기관서귀포시청1810FalseKR서귀포시청 서귀포시 서귀포문화 제주도 제주 서귀포여행 제주여행 서귀포문화 제주문화 문화EOJZA-cucvY
6https://www.youtube.com/channel/UCCXeZkv4-v2TlH_J49I_icw2021-08-012012-12-02https://yt3.ggpht.com/ytc/AKedOLRR7AG4YS4YGG97gqHGQsLJnd6WdXvqYzAL8p6xGw=s88-c-k-c0x00ffffff-no-rjHUBOG official channelMCNHUBOG0TrueKR행복을 주다 휴복 hubog 우타이테 뮤직 Jpop 일본음악 보컬로이드 kpop cover ヒュボクKU37krQEO-o
7https://www.youtube.com/channel/UCj8FipI16W8E0ErGxItaQxA2021-08-012013-01-31https://yt3.ggpht.com/ytc/AKedOLT1PnPcF-ycxvJFJRW1IK4GeeO2HfeSLBpUn6hp=s88-c-k-c0x00ffffff-no-rj한국보건산업진흥원은 보건산업 육성발전과 보건서비스 향상을 위한 지원사업을 전문적; 체계적으로 수행하는 공공기관입니다. ◈홈페이지 : www.khidi.or.kr 대표전화 : 043)713-8000~5공공기관KHIDI1210FalseKR한국보건산업진흥원rip0i4dmZPI
8https://www.youtube.com/channel/UCZphZ5MKyRJPyS2WHTpHmIg2021-08-012016-03-04https://yt3.ggpht.com/ytc/AKedOLS_pNzD3fT8AW09YUkg_a_czBXDNBjb28lZNwnevg=s88-c-k-c0x00ffffff-no-rj안녕하세요 타우입니다 TAU채널은 만들기나 실험 영상을 주로 업로드하는 채널입니다 앞으로 영상의 재미와 퀄리티를 높혀가도록 노력 하겠습니다 감사합니다. 비즈니스문의 tkaektn84@gmail.comMCNTAU561000FalseKR<NA><NA>
9https://www.youtube.com/channel/UCWrXqW4HrgGw10WUPm15S6Q2021-08-012016-12-25https://yt3.ggpht.com/ytc/AKedOLTeelTKRTIX4Us4010QXmIT13DsQA5ceUdja92iJg=s88-c-k-c0x00ffffff-no-rjHey; Human Being. I’m Alien Being. Alien Being is making Minecraft Life Animation. Thanks for watching. Don’t forget to Like; Subscribe & Comment; Share!!MCNAlien Being3270000False<NA>minecraft animation monster school alien being villager pillager life ost song herobrine zombiemCsc8NOnrPs
채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
15https://www.youtube.com/channel/UC4icaS10n58fH3pjabaMvdw2021-08-012010-05-17https://yt3.ggpht.com/ytc/AKedOLRAnk8rTEb-fTjIOOrrmDZLvtF-FW3t8d28YI0P=s88-c-k-c0x00ffffff-no-rj<NA>공공기관한국여성정책연구원0TrueKR한국여성정책연구원 KWDI 여성정책<NA>
16https://www.youtube.com/channel/UC9_093tAK3bXyZfT84efbvg2021-08-012019-07-08https://yt3.ggpht.com/ytc/AKedOLSgXSlGpPWjYQ29qRl_SFMaaVQO2Y7I_-N71rqh=s88-c-k-c0x00ffffff-no-rj대한민국 esports를 응원하며; 게임 및 스포츠 예능 콘텐츠를 만나볼 수 있는 KBS의 공식채널입니다! 트위터 : https:twitter.comEsportsKbs 페이스북 : https:www.facebook.comesportskbs0 메일 : esportskbs@gmail.comTVesports KBS91400FalseKRkbs esports esports kbs kbs esports 이스포츠 이스포츠 케이비에스 케이비에스 이스포츠 lol 롤 리그오브레전드 라이엇 펍지 카트라이더 배틀그라운드 케스파 케스파컵 페이커 위 캔 게임 안정환 오하영 피파 축구 예능 2002 월드컵 예능 레전드 운동 축구 야구 배드민턴 이영표 박찬호 스포츠 이스포츠 모바일게임fnTfrYOnU0Y
17https://www.youtube.com/channel/UCrhPvb6NYaqYXZzvcyfebbw2021-08-012014-06-01https://yt3.ggpht.com/ytc/AKedOLS5w1s6EWwTXrcUVW_rEX0nbZjNBWHC-m3TqHgreg=s88-c-k-c0x00ffffff-no-rj<NA>TVJTBC 5시 정치부회의1210False<NA>정치부회의<NA>
18https://www.youtube.com/channel/UCh6FOwygaCPmcd6dFohbaFA2021-08-012011-11-09https://yt3.ggpht.com/ytc/AKedOLQpjkIHVRXEiKaOgkhvB9DTiHofuk4VKdQggcNz=s88-c-k-c0x00ffffff-no-rj시민이 만드는 행복도시; 과천시 공식 유튜브입니다.공공기관과천시3570FalseKR과천시청 과천 과천시 시민 행복 도시 경기도 과천 지식정보타운 키즈민요 원맨쇼 #원맨쇼 수능응원 김종천 과천시장 하태욱 공무원 과천적응 적응기 관악산 임용 대안 과천청사 과천시향 전설의시작 과천아카데미 과천아카데미DIW7RLcp784
19https://www.youtube.com/channel/UCA5AgXSjOanrPcp-FKJ52mg2021-08-012018-11-28https://yt3.ggpht.com/ytc/AKedOLSsvc91r70fv8u6dAGY8MJigIP0zmcDowICCO7pdQ=s88-c-k-c0x00ffffff-no-rj3마리의 반려견과 함께하는 개주부들의 일상MCN개주부118FalseKRVLOGs2hibMMvnwY
20https://www.youtube.com/channel/UCedTii4XO9JZpCOTcuCQgrQ2021-08-012015-11-18https://yt3.ggpht.com/ytc/AKedOLTdl_u5KE3Rau6twPs05PUV-yeyvz7M9kORe1ACHw=s88-c-k-c0x00ffffff-no-rj구미시청 공식 Youtube 채널입니다. 구미시 담당 공무원 영상 랜선 문화 공연 영상 시정뉴스 영상 등 다양한 영상을 보실수 있습니다.공공기관구미시 - 구미시청 공식 유튜브 채널5420False<NA>구미시 구미시청 gumi 구미8_H6fVLSok0
21https://www.youtube.com/channel/UCYhUJGAH6HhOUJokzRupkpQ2021-08-012016-10-28https://yt3.ggpht.com/ytc/AKedOLQuobe2f-Ep4BwJO25OO7CSDzy5pOZgwAnIRuLyLA=s88-c-k-c0x00ffffff-no-rjMushroom Boy channel is constantly uploading mobile games; PC games; and daily videos. I would appreciate your interest and subscribe. (04387) 서울시 용산구 서빙고로 17 센트럴파크타워; 30층 샌드박스 버섯도리MCN버섯도리455000FalseKR버섯도리 버섯돌이 게임 모바일게임 현실남매 휴대폰게임 pc게임 챌린지 가족게임 가족대결 버섯탐정 상황극 가족 Vlog<NA>
22https://www.youtube.com/channel/UCvheY9fiwma-O809hK-GHEA2021-08-012014-06-25https://yt3.ggpht.com/ytc/AKedOLSS7n2y8qhYz1Db7Jt5k4ainMfG1vz6m0yJyiZUVA=s88-c-k-c0x00ffffff-no-rjHey guys; my name is Kaiiii! I'm 20 years old and I'm from Greece; but I currently live in England. I hope you enjoy the content that I make; all my social media is linked so if you want to check it out feel free to do so.MCNKai Mastro309000False<NA><NA>dVh7vz-ljeg
23https://www.youtube.com/channel/UCzAMp7mTFX7j3ip4gLMSllw2021-08-012009-07-25https://yt3.ggpht.com/ytc/AKedOLTHZ3llm6u7yuLQY_4MutAO1zTdS_0W5ArOB0uQWA=s88-c-k-c0x00ffffff-no-rj말괄량이의 희귀애완동물 채널!! Tarantula Shrimp fishMCN말괄량이56False<NA>tarantula centipede spider scorpion 거미 타란튤라 지네 전갈<NA>
24https://www.youtube.com/channel/UCZggbgiMY7u4Def37xQpyAQ2021-08-012017-01-23https://yt3.ggpht.com/ytc/AKedOLTItf_0P07ZeC-plq-sp2hnoZRSfrejgthOFGrO=s88-c-k-c0x00ffffff-no-rj안녕하세요 뷰티패션라이프 크리에이터 아름송이 입니다. 저의 채널에 방문해주셔서 감사합니다~! 더 많은 영상을 보고싶으시다면 구독버튼을 눌러주세요 :) Hello. i'm areumsongee. Subscribe to my channel and watch more makeup tutorials. 페이스북 https:www.facebook.comherseh 인스타그램 https:www.instagram.comareumsongee 비즈니스 문의 starucckorea@gmail.comMCNareumsongee아름송이807000False<NA><NA>2KcR7oAuDu8