Overview

Dataset statistics

Number of variables12
Number of observations29
Missing cells21
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory95.6 B

Variable types

Text6
DateTime2
Categorical2
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/d4d451e8-16b0-4432-9a95-4fafa1f2203e

Alerts

채널수집일자 has constant value ""Constant
채널국가 is highly overall correlated with 구독자수비공개정보High correlation
구독자수비공개정보 is highly overall correlated with 채널국가High correlation
구독자수비공개정보 is highly imbalanced (78.4%)Imbalance
채널채널설명 has 7 (24.1%) missing valuesMissing
채널채널키워드명 has 8 (27.6%) missing valuesMissing
영상 has 6 (20.7%) missing valuesMissing
채널채널경로명 has unique valuesUnique
채널채널생성일자 has unique valuesUnique
채널아이콘 has unique valuesUnique
채널채널명 has unique valuesUnique
채널구독자수 has unique valuesUnique
채널구독자수 has 1 (3.4%) zerosZeros

Reproduction

Analysis started2023-12-10 13:53:38.587326
Analysis finished2023-12-10 13:53:40.368856
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널채널경로명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:40.689867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1624
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UCInOYzFIoB52B-bgF4zbHgA
2nd rowhttps://www.youtube.com/channel/UCbl0zikxXmKC_RsEFPbCR4Q
3rd rowhttps://www.youtube.com/channel/UCq0UGwuDYcEvkadTrfSjpYg
4th rowhttps://www.youtube.com/channel/UC_DAnvtRZCuiNmZhquvBNKQ
5th rowhttps://www.youtube.com/channel/UCmAyToJfRFpmt365Ibq3x9g
ValueCountFrequency (%)
https://www.youtube.com/channel/ucinoyzfiob52b-bgf4zbhga 1
 
3.4%
https://www.youtube.com/channel/ucwd26pjruok_c85rxwcuw6q 1
 
3.4%
https://www.youtube.com/channel/ucmr3uyzuaw0djvzbf7vc-qa 1
 
3.4%
https://www.youtube.com/channel/ucvdbaghwnoa8andb2bskxfw 1
 
3.4%
https://www.youtube.com/channel/ucocsbaumol8qfclvzitt7-w 1
 
3.4%
https://www.youtube.com/channel/ucbbejfzcmw5kgrn0wooruua 1
 
3.4%
https://www.youtube.com/channel/ucc9xeedrtiwnivrsi-jayzw 1
 
3.4%
https://www.youtube.com/channel/ucbiufl6sstj-ysdabt7nc5a 1
 
3.4%
https://www.youtube.com/channel/uc5ida86tt8qka4myw7idxng 1
 
3.4%
https://www.youtube.com/channel/uctcapz5lbgmugqtpxphgkvg 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T22:53:41.324312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 116
 
7.1%
w 107
 
6.6%
t 101
 
6.2%
u 74
 
4.6%
n 70
 
4.3%
o 68
 
4.2%
c 67
 
4.1%
h 63
 
3.9%
e 62
 
3.8%
. 58
 
3.6%
Other values (57) 838
51.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 989
60.9%
Uppercase Letter 325
 
20.0%
Other Punctuation 203
 
12.5%
Decimal Number 87
 
5.4%
Connector Punctuation 10
 
0.6%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 107
 
10.8%
t 101
 
10.2%
u 74
 
7.5%
n 70
 
7.1%
o 68
 
6.9%
c 67
 
6.8%
h 63
 
6.4%
e 62
 
6.3%
b 46
 
4.7%
a 42
 
4.2%
Other values (16) 289
29.2%
Uppercase Letter
ValueCountFrequency (%)
C 45
 
13.8%
U 39
 
12.0%
A 16
 
4.9%
Q 14
 
4.3%
I 13
 
4.0%
B 13
 
4.0%
K 13
 
4.0%
S 13
 
4.0%
N 12
 
3.7%
R 11
 
3.4%
Other values (16) 136
41.8%
Decimal Number
ValueCountFrequency (%)
8 12
13.8%
9 11
12.6%
0 10
11.5%
5 10
11.5%
6 9
10.3%
4 9
10.3%
2 7
8.0%
7 7
8.0%
3 6
6.9%
1 6
6.9%
Other Punctuation
ValueCountFrequency (%)
/ 116
57.1%
. 58
28.6%
: 29
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1314
80.9%
Common 310
 
19.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 107
 
8.1%
t 101
 
7.7%
u 74
 
5.6%
n 70
 
5.3%
o 68
 
5.2%
c 67
 
5.1%
h 63
 
4.8%
e 62
 
4.7%
b 46
 
3.5%
C 45
 
3.4%
Other values (42) 611
46.5%
Common
ValueCountFrequency (%)
/ 116
37.4%
. 58
18.7%
: 29
 
9.4%
8 12
 
3.9%
9 11
 
3.5%
0 10
 
3.2%
_ 10
 
3.2%
- 10
 
3.2%
5 10
 
3.2%
6 9
 
2.9%
Other values (5) 35
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 116
 
7.1%
w 107
 
6.6%
t 101
 
6.2%
u 74
 
4.6%
n 70
 
4.3%
o 68
 
4.2%
c 67
 
4.1%
h 63
 
3.9%
e 62
 
3.8%
. 58
 
3.6%
Other values (57) 838
51.6%

채널수집일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2020-11-01 00:00:00
Maximum2020-11-01 00:00:00
2023-12-10T22:53:41.636424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:53:41.800776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

채널채널생성일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2010-04-27 00:00:00
Maximum2020-01-31 00:00:00
2023-12-10T22:53:41.972701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:53:42.182677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

채널아이콘
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:43.103266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length99
Mean length97.758621
Min length94

Characters and Unicode

Total characters2835
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/a/AATXAJzKJXSFi_Bls9E7wtOSw9yW9rTvGHX-HktbIJRFuQ=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/a/AATXAJwdIHrBYlB7IdN8i5C1OQHCPsSqSvZyWcy2zwBnCA=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/a/AATXAJwRr9-e3sCB16ZrWdo2B13XLfN7YDJKZHT-SNzW=s88-c-k-c0xffffffff-no-rj-mo
4th rowhttps://yt3.ggpht.com/a/AATXAJysyZ4HuTCMJI9lFGKkFE6D3O-oC_-g4KYtV60VUQ=s88-c-k-c0xffffffff-no-rj-mo
5th rowhttps://yt3.ggpht.com/a/AATXAJyjl5M1yYKwofcRlcPWN7Q1QAtdS4F_DNq1sJ0o7w=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/a/aatxajzkjxsfi_bls9e7wtosw9yw9rtvghx-hktbijrfuq=s88-c-k-c0x00ffffff-no-rj 1
 
3.4%
https://yt3.ggpht.com/a/aatxajxblbnplw2pd9bl7rrrzskxr3d3xvjpprb87bkv=s88-c-k-c0x00ffffff-no-rj 1
 
3.4%
https://yt3.ggpht.com/a/aatxajzv1zyiqacaek78rh7rpnsjkegypksdj65wntusaw=s88-c-k-c0x00ffffff-no-rj 1
 
3.4%
https://yt3.ggpht.com/a/aatxajxqiu2owdned6op53-wcvwpxazxaw1lcqp1jkw_nq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajw3pz4f0lzvga7u9mse54trnzvf8ecgtzvo8xxq4w=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajx5nyjt7kbo2vwov4ymdsizoxy3jm-w8tnvwnm-wq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajyduoibu_glqh8ii1_yzliltavqb9qdyoz6vagp=s88-c-k-c0x00ffffff-no-rj 1
 
3.4%
https://yt3.ggpht.com/a/aatxajxz2z0gojrza6tqvwty2oyv8gcngamj08zsao6g=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajxb3or1jivrlr8zxluyhodu10d8qoyoybzmo6surq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajwloojwvk4qsfbth_4bzbchpufwh7o6erw7gozz-a=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T22:53:44.223039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 225
 
7.9%
- 189
 
6.7%
t 136
 
4.8%
/ 116
 
4.1%
A 113
 
4.0%
c 102
 
3.6%
o 99
 
3.5%
s 77
 
2.7%
8 77
 
2.7%
g 77
 
2.7%
Other values (58) 1624
57.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1407
49.6%
Uppercase Letter 666
23.5%
Decimal Number 324
 
11.4%
Other Punctuation 203
 
7.2%
Dash Punctuation 189
 
6.7%
Math Symbol 29
 
1.0%
Connector Punctuation 17
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 225
16.0%
t 136
 
9.7%
c 102
 
7.2%
o 99
 
7.0%
s 77
 
5.5%
g 77
 
5.5%
p 73
 
5.2%
h 68
 
4.8%
m 62
 
4.4%
y 54
 
3.8%
Other values (16) 434
30.8%
Uppercase Letter
ValueCountFrequency (%)
A 113
17.0%
J 57
 
8.6%
T 43
 
6.5%
X 41
 
6.2%
I 30
 
4.5%
Q 28
 
4.2%
U 23
 
3.5%
O 22
 
3.3%
B 21
 
3.2%
K 21
 
3.2%
Other values (16) 267
40.1%
Decimal Number
ValueCountFrequency (%)
8 77
23.8%
0 65
20.1%
3 47
14.5%
1 25
 
7.7%
7 25
 
7.7%
6 25
 
7.7%
9 17
 
5.2%
2 17
 
5.2%
4 16
 
4.9%
5 10
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 116
57.1%
. 58
28.6%
: 29
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Math Symbol
ValueCountFrequency (%)
= 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2073
73.1%
Common 762
 
26.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 225
 
10.9%
t 136
 
6.6%
A 113
 
5.5%
c 102
 
4.9%
o 99
 
4.8%
s 77
 
3.7%
g 77
 
3.7%
p 73
 
3.5%
h 68
 
3.3%
m 62
 
3.0%
Other values (42) 1041
50.2%
Common
ValueCountFrequency (%)
- 189
24.8%
/ 116
15.2%
8 77
10.1%
0 65
 
8.5%
. 58
 
7.6%
3 47
 
6.2%
: 29
 
3.8%
= 29
 
3.8%
1 25
 
3.3%
7 25
 
3.3%
Other values (6) 102
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 225
 
7.9%
- 189
 
6.7%
t 136
 
4.8%
/ 116
 
4.1%
A 113
 
4.0%
c 102
 
3.6%
o 99
 
3.5%
s 77
 
2.7%
8 77
 
2.7%
g 77
 
2.7%
Other values (58) 1624
57.3%

채널채널설명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2023-12-10T22:53:44.605284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length296
Median length57
Mean length73.954545
Min length4

Characters and Unicode

Total characters1627
Distinct characters309
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
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 row국립생태원의 다양한 동영상 자료를 공유하는 공식 유튜브 채널입니다.
2nd row세상 모든 사람들의 취향을 아는 그 날까지! like or dislike review show
3rd row한국도박문제관리센터는 사행산업으로 인한 중독 및 도박문제와 관련하여 예방·치유·재활 등의 사업과 활동을 위해 2013년 8월 설립한 공공기관입니다.
4th row구름이일기
5th row제주특별자치도 서귀포시의 유투브 채널입니다.
ValueCountFrequency (%)
10
 
3.6%
채널입니다 4
 
1.4%
ru's 3
 
1.1%
수 3
 
1.1%
공식 3
 
1.1%
유튜브 3
 
1.1%
다양한 3
 
1.1%
주소 2
 
0.7%
일상 2
 
0.7%
케미를 2
 
0.7%
Other values (234) 242
87.4%
2023-12-10T22:53:45.242513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
17.8%
o 39
 
2.4%
r 39
 
2.4%
e 35
 
2.2%
a 35
 
2.2%
t 33
 
2.0%
i 26
 
1.6%
. 26
 
1.6%
c 24
 
1.5%
s 23
 
1.4%
Other values (299) 1057
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
45.2%
Lowercase Letter 445
27.4%
Space Separator 290
 
17.8%
Other Punctuation 83
 
5.1%
Uppercase Letter 34
 
2.1%
Decimal Number 33
 
2.0%
Math Symbol 2
 
0.1%
Modifier Symbol 2
 
0.1%
Other Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 20
 
2.7%
니 19
 
2.6%
하 19
 
2.6%
의 16
 
2.2%
루 11
 
1.5%
들 11
 
1.5%
고 10
 
1.4%
는 10
 
1.4%
한 10
 
1.4%
리 9
 
1.2%
Other values (235) 600
81.6%
Lowercase Letter
ValueCountFrequency (%)
o 39
 
8.8%
r 39
 
8.8%
e 35
 
7.9%
a 35
 
7.9%
t 33
 
7.4%
i 26
 
5.8%
c 24
 
5.4%
s 23
 
5.2%
u 23
 
5.2%
n 22
 
4.9%
Other values (14) 146
32.8%
Uppercase Letter
ValueCountFrequency (%)
T 5
14.7%
V 5
14.7%
U 3
8.8%
R 3
8.8%
D 2
 
5.9%
N 2
 
5.9%
M 2
 
5.9%
K 2
 
5.9%
E 2
 
5.9%
S 2
 
5.9%
Other values (5) 6
17.6%
Other Punctuation
ValueCountFrequency (%)
. 26
31.3%
! 16
19.3%
: 14
16.9%
; 11
13.3%
@ 6
 
7.2%
' 5
 
6.0%
· 2
 
2.4%
? 1
 
1.2%
& 1
 
1.2%
* 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 6
18.2%
2 6
18.2%
1 5
15.2%
5 5
15.2%
3 3
9.1%
6 3
9.1%
9 2
 
6.1%
8 2
 
6.1%
4 1
 
3.0%
Space Separator
ValueCountFrequency (%)
290
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
45.2%
Latin 479
29.4%
Common 413
25.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 20
 
2.7%
니 19
 
2.6%
하 19
 
2.6%
의 16
 
2.2%
루 11
 
1.5%
들 11
 
1.5%
고 10
 
1.4%
는 10
 
1.4%
한 10
 
1.4%
리 9
 
1.2%
Other values (235) 600
81.6%
Latin
ValueCountFrequency (%)
o 39
 
8.1%
r 39
 
8.1%
e 35
 
7.3%
a 35
 
7.3%
t 33
 
6.9%
i 26
 
5.4%
c 24
 
5.0%
s 23
 
4.8%
u 23
 
4.8%
n 22
 
4.6%
Other values (29) 180
37.6%
Common
ValueCountFrequency (%)
290
70.2%
. 26
 
6.3%
! 16
 
3.9%
: 14
 
3.4%
; 11
 
2.7%
@ 6
 
1.5%
0 6
 
1.5%
2 6
 
1.5%
1 5
 
1.2%
5 5
 
1.2%
Other values (15) 28
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 889
54.6%
Hangul 733
45.1%
Compat Jamo 2
 
0.1%
None 2
 
0.1%
Misc Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
32.6%
o 39
 
4.4%
r 39
 
4.4%
e 35
 
3.9%
a 35
 
3.9%
t 33
 
3.7%
i 26
 
2.9%
. 26
 
2.9%
c 24
 
2.7%
s 23
 
2.6%
Other values (52) 319
35.9%
Hangul
ValueCountFrequency (%)
다 20
 
2.7%
니 19
 
2.6%
하 19
 
2.6%
의 16
 
2.2%
루 11
 
1.5%
들 11
 
1.5%
고 10
 
1.4%
는 10
 
1.4%
한 10
 
1.4%
리 9
 
1.2%
Other values (234) 598
81.6%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

채널채널범주명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
MCN
21 
공공기관
8 

Length

Max length4
Median length3
Mean length3.2758621
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MCN 21
72.4%
공공기관 8
 
27.6%

Length

2023-12-10T22:53:45.506572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:45.832913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 21
72.4%
공공기관 8
 
27.6%

채널채널명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:53:46.323260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length8.6206897
Min length2

Characters and Unicode

Total characters250
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row시청자미디어재단
2nd row국립생태원
3rd rowLOUIS BRO'
4th row부리또 PLAY [BURRITO PLAY]
5th row한국도박문제관리센터
ValueCountFrequency (%)
tv 3
 
6.7%
play 2
 
4.4%
핫도그tv 1
 
2.2%
킴변kimbyun 1
 
2.2%
비콘 1
 
2.2%
영원씨01seetv 1
 
2.2%
서울대공원tv 1
 
2.2%
냥신tv 1
 
2.2%
ru 1
 
2.2%
rock 1
 
2.2%
Other values (32) 32
71.1%
2023-12-10T22:53:47.015330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
6.4%
T 9
 
3.6%
u 8
 
3.2%
V 7
 
2.8%
e 6
 
2.4%
o 6
 
2.4%
r 5
 
2.0%
Y 5
 
2.0%
R 5
 
2.0%
O 5
 
2.0%
Other values (113) 178
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
41.6%
Uppercase Letter 71
28.4%
Lowercase Letter 49
19.6%
Space Separator 16
 
6.4%
Decimal Number 5
 
2.0%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 4
 
3.8%
시 4
 
3.8%
원 4
 
3.8%
청 3
 
2.9%
태 3
 
2.9%
루 3
 
2.9%
도 3
 
2.9%
하 2
 
1.9%
야 2
 
1.9%
서 2
 
1.9%
Other values (67) 74
71.2%
Uppercase Letter
ValueCountFrequency (%)
T 9
12.7%
V 7
 
9.9%
Y 5
 
7.0%
R 5
 
7.0%
O 5
 
7.0%
U 5
 
7.0%
B 4
 
5.6%
A 4
 
5.6%
I 4
 
5.6%
L 4
 
5.6%
Other values (12) 19
26.8%
Lowercase Letter
ValueCountFrequency (%)
u 8
16.3%
e 6
12.2%
o 6
12.2%
r 5
10.2%
n 4
8.2%
a 4
8.2%
m 2
 
4.1%
y 2
 
4.1%
i 2
 
4.1%
l 2
 
4.1%
Other values (7) 8
16.3%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
1 2
40.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 120
48.0%
Hangul 104
41.6%
Common 26
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 4
 
3.8%
시 4
 
3.8%
원 4
 
3.8%
청 3
 
2.9%
태 3
 
2.9%
루 3
 
2.9%
도 3
 
2.9%
하 2
 
1.9%
야 2
 
1.9%
서 2
 
1.9%
Other values (67) 74
71.2%
Latin
ValueCountFrequency (%)
T 9
 
7.5%
u 8
 
6.7%
V 7
 
5.8%
e 6
 
5.0%
o 6
 
5.0%
r 5
 
4.2%
Y 5
 
4.2%
R 5
 
4.2%
O 5
 
4.2%
U 5
 
4.2%
Other values (29) 59
49.2%
Common
ValueCountFrequency (%)
16
61.5%
0 2
 
7.7%
1 2
 
7.7%
[ 2
 
7.7%
] 2
 
7.7%
2 1
 
3.8%
' 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 146
58.4%
Hangul 104
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
 
11.0%
T 9
 
6.2%
u 8
 
5.5%
V 7
 
4.8%
e 6
 
4.1%
o 6
 
4.1%
r 5
 
3.4%
Y 5
 
3.4%
R 5
 
3.4%
O 5
 
3.4%
Other values (36) 74
50.7%
Hangul
ValueCountFrequency (%)
리 4
 
3.8%
시 4
 
3.8%
원 4
 
3.8%
청 3
 
2.9%
태 3
 
2.9%
루 3
 
2.9%
도 3
 
2.9%
하 2
 
1.9%
야 2
 
1.9%
서 2
 
1.9%
Other values (67) 74
71.2%

채널구독자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115049.66
Minimum0
Maximum1060000
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:53:47.241269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120
Q11390
median15000
Q3157000
95-th percentile411600
Maximum1060000
Range1060000
Interquartile range (IQR)155610

Descriptive statistics

Standard deviation220608.7
Coefficient of variation (CV)1.9175085
Kurtosis11.953519
Mean115049.66
Median Absolute Deviation (MAD)14616
Skewness3.1588299
Sum3336440
Variance4.8668196 × 1010
MonotonicityNot monotonic
2023-12-10T22:53:47.462799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
593 1
 
3.4%
2790 1
 
3.4%
45300 1
 
3.4%
194000 1
 
3.4%
15200 1
 
3.4%
2970 1
 
3.4%
861 1
 
3.4%
222000 1
 
3.4%
4410 1
 
3.4%
1060000 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0 1
3.4%
96 1
3.4%
156 1
3.4%
384 1
3.4%
593 1
3.4%
861 1
3.4%
1290 1
3.4%
1390 1
3.4%
2790 1
3.4%
2970 1
3.4%
ValueCountFrequency (%)
1060000 1
3.4%
464000 1
3.4%
333000 1
3.4%
308000 1
3.4%
254000 1
3.4%
222000 1
3.4%
194000 1
3.4%
157000 1
3.4%
142000 1
3.4%
46000 1
3.4%

구독자수비공개정보
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size190.0 B
False
28 
True
 
1
ValueCountFrequency (%)
False 28
96.6%
True 1
 
3.4%
2023-12-10T22:53:47.660394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
KR
18 
<NA>
10 
US
 
1

Length

Max length4
Median length2
Mean length2.6896552
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
KR 18
62.1%
<NA> 10
34.5%
US 1
 
3.4%

Length

2023-12-10T22:53:48.183206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:48.360529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 18
62.1%
na 10
34.5%
us 1
 
3.4%

채널채널키워드명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2023-12-10T22:53:48.748835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length314
Median length33
Mean length46.142857
Min length2

Characters and Unicode

Total characters969
Distinct characters206
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row부산시청자미디어센터 광주시청자미디어센터 강원시청자미디어센터 강시미TV 대전시청자미디어센터 인천시청자미디어센터 울산시청자미디어센터 경기시청자미디어센터 충북시청자미디어센터 세종시청자미디어센터 시청자미디어재단 서울시청자미디어센터
2nd row국립생태원
3rd row명품 리뷰 남성 명품 루이비통
4th row리뷰 실험 리액션 react like dislike react review 인터뷰 talk 호불호 호 불호 먹방 음식 인터뷰 interview
5th row한국도박문제관리센터
ValueCountFrequency (%)
korea 3
 
1.8%
인터뷰 2
 
1.2%
서귀포문화 2
 
1.2%
life 2
 
1.2%
먹방 2
 
1.2%
react 2
 
1.2%
김양수 2
 
1.2%
문성혁 2
 
1.2%
리뷰 2
 
1.2%
명품 2
 
1.2%
Other values (145) 146
87.4%
2023-12-10T22:53:49.409313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
15.1%
a 42
 
4.3%
e 39
 
4.0%
o 29
 
3.0%
i 27
 
2.8%
r 25
 
2.6%
n 25
 
2.6%
l 19
 
2.0%
시 18
 
1.9%
u 17
 
1.8%
Other values (196) 582
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
46.6%
Lowercase Letter 352
36.3%
Space Separator 146
 
15.1%
Uppercase Letter 11
 
1.1%
Decimal Number 5
 
0.5%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 18
 
4.0%
청 14
 
3.1%
터 13
 
2.9%
미 12
 
2.7%
자 12
 
2.7%
센 11
 
2.4%
어 11
 
2.4%
디 11
 
2.4%
서 9
 
2.0%
이 9
 
2.0%
Other values (155) 332
73.5%
Lowercase Letter
ValueCountFrequency (%)
a 42
11.9%
e 39
 
11.1%
o 29
 
8.2%
i 27
 
7.7%
r 25
 
7.1%
n 25
 
7.1%
l 19
 
5.4%
u 17
 
4.8%
t 15
 
4.3%
m 14
 
4.0%
Other values (16) 100
28.4%
Uppercase Letter
ValueCountFrequency (%)
L 2
18.2%
F 2
18.2%
M 2
18.2%
R 1
9.1%
N 1
9.1%
V 1
9.1%
T 1
9.1%
Y 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
6 1
20.0%
2 1
20.0%
0 1
20.0%
Other Punctuation
ValueCountFrequency (%)
! 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
45.4%
Latin 363
37.5%
Common 154
 
15.9%
Hiragana 12
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 18
 
4.1%
청 14
 
3.2%
터 13
 
3.0%
미 12
 
2.7%
자 12
 
2.7%
센 11
 
2.5%
어 11
 
2.5%
디 11
 
2.5%
서 9
 
2.0%
이 9
 
2.0%
Other values (145) 320
72.7%
Latin
ValueCountFrequency (%)
a 42
 
11.6%
e 39
 
10.7%
o 29
 
8.0%
i 27
 
7.4%
r 25
 
6.9%
n 25
 
6.9%
l 19
 
5.2%
u 17
 
4.7%
t 15
 
4.1%
m 14
 
3.9%
Other values (24) 111
30.6%
Hiragana
ValueCountFrequency (%)
ま 2
16.7%
ふ 2
16.7%
ら 1
8.3%
る 1
8.3%
そ 1
8.3%
ん 1
8.3%
さ 1
8.3%
あ 1
8.3%
ば 1
8.3%
お 1
8.3%
Common
ValueCountFrequency (%)
146
94.8%
1 2
 
1.3%
! 2
 
1.3%
6 1
 
0.6%
2 1
 
0.6%
& 1
 
0.6%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
53.4%
Hangul 440
45.4%
Hiragana 12
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
28.2%
a 42
 
8.1%
e 39
 
7.5%
o 29
 
5.6%
i 27
 
5.2%
r 25
 
4.8%
n 25
 
4.8%
l 19
 
3.7%
u 17
 
3.3%
t 15
 
2.9%
Other values (31) 133
25.7%
Hangul
ValueCountFrequency (%)
시 18
 
4.1%
청 14
 
3.2%
터 13
 
3.0%
미 12
 
2.7%
자 12
 
2.7%
센 11
 
2.5%
어 11
 
2.5%
디 11
 
2.5%
서 9
 
2.0%
이 9
 
2.0%
Other values (145) 320
72.7%
Hiragana
ValueCountFrequency (%)
ま 2
16.7%
ふ 2
16.7%
ら 1
8.3%
る 1
8.3%
そ 1
8.3%
ん 1
8.3%
さ 1
8.3%
あ 1
8.3%
ば 1
8.3%
お 1
8.3%

영상
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing6
Missing (%)20.7%
Memory size364.0 B
2023-12-10T22:53:49.783093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters253
Distinct characters63
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowFwgsy3YfPOI
2nd rowqCKgRCoLipo
3rd rowryDcGcV-nA0
4th rowJU-KPDMUlgM
5th rowWvj6zPuVeyU
ValueCountFrequency (%)
fwgsy3yfpoi 1
 
4.3%
qajvtjyr-_w 1
 
4.3%
pdxfkae7s4y 1
 
4.3%
bd3eide0vh8 1
 
4.3%
515iu9ebxfc 1
 
4.3%
0gmtax2tdho 1
 
4.3%
azdv5addau8 1
 
4.3%
xhjcdykgebe 1
 
4.3%
cmpw02g4xaa 1
 
4.3%
b7gkn6ol3fq 1
 
4.3%
Other values (13) 13
56.5%
2023-12-10T22:53:50.577224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 9
 
3.6%
c 9
 
3.6%
Q 7
 
2.8%
0 7
 
2.8%
V 6
 
2.4%
g 6
 
2.4%
y 6
 
2.4%
K 6
 
2.4%
r 6
 
2.4%
A 6
 
2.4%
Other values (53) 185
73.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 102
40.3%
Lowercase Letter 101
39.9%
Decimal Number 43
17.0%
Dash Punctuation 4
 
1.6%
Connector Punctuation 3
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 9
 
8.9%
g 6
 
5.9%
y 6
 
5.9%
r 6
 
5.9%
t 5
 
5.0%
e 5
 
5.0%
b 5
 
5.0%
p 5
 
5.0%
k 5
 
5.0%
w 4
 
4.0%
Other values (16) 45
44.6%
Uppercase Letter
ValueCountFrequency (%)
D 9
 
8.8%
Q 7
 
6.9%
V 6
 
5.9%
K 6
 
5.9%
A 6
 
5.9%
E 5
 
4.9%
U 5
 
4.9%
H 5
 
4.9%
I 5
 
4.9%
Y 5
 
4.9%
Other values (15) 43
42.2%
Decimal Number
ValueCountFrequency (%)
0 7
16.3%
4 5
11.6%
6 5
11.6%
5 5
11.6%
2 4
9.3%
8 4
9.3%
7 4
9.3%
3 4
9.3%
1 3
7.0%
9 2
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 203
80.2%
Common 50
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 9
 
4.4%
c 9
 
4.4%
Q 7
 
3.4%
V 6
 
3.0%
g 6
 
3.0%
y 6
 
3.0%
K 6
 
3.0%
r 6
 
3.0%
A 6
 
3.0%
t 5
 
2.5%
Other values (41) 137
67.5%
Common
ValueCountFrequency (%)
0 7
14.0%
4 5
10.0%
6 5
10.0%
5 5
10.0%
2 4
8.0%
8 4
8.0%
7 4
8.0%
3 4
8.0%
- 4
8.0%
_ 3
6.0%
Other values (2) 5
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 9
 
3.6%
c 9
 
3.6%
Q 7
 
2.8%
0 7
 
2.8%
V 6
 
2.4%
g 6
 
2.4%
y 6
 
2.4%
K 6
 
2.4%
r 6
 
2.4%
A 6
 
2.4%
Other values (53) 185
73.1%

Interactions

2023-12-10T22:53:39.573161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:53:50.857418image/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
채널채널범주명1.0001.0001.0001.0001.0001.0000.0000.0000.0001.0001.000
채널채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널구독자수1.0001.0001.0001.0000.0001.0001.0000.0000.0001.0001.000
구독자수비공개정보1.0001.0001.0001.0000.0001.0000.0001.000NaN1.000NaN
채널국가1.0001.0001.0001.0000.0001.0000.000NaN1.0001.0001.000
채널채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0001.0001.0001.000NaN1.0001.0001.000
2023-12-10T22:53:51.150164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널채널범주명채널국가구독자수비공개정보
채널채널범주명1.0000.0000.000
채널국가0.0001.0001.000
구독자수비공개정보0.0001.0001.000
2023-12-10T22:53:51.371770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널구독자수채널채널범주명구독자수비공개정보채널국가
채널구독자수1.0000.0000.0000.000
채널채널범주명0.0001.0000.0000.000
구독자수비공개정보0.0000.0001.0001.000
채널국가0.0000.0001.0001.000

Missing values

2023-12-10T22:53:39.780344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:53:40.054992image/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.
2023-12-10T22:53:40.268754image/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/UCInOYzFIoB52B-bgF4zbHgA2020-11-012017-12-13https://yt3.ggpht.com/a/AATXAJzKJXSFi_Bls9E7wtOSw9yW9rTvGHX-HktbIJRFuQ=s88-c-k-c0x00ffffff-no-rj<NA>공공기관시청자미디어재단593FalseKR부산시청자미디어센터 광주시청자미디어센터 강원시청자미디어센터 강시미TV 대전시청자미디어센터 인천시청자미디어센터 울산시청자미디어센터 경기시청자미디어센터 충북시청자미디어센터 세종시청자미디어센터 시청자미디어재단 서울시청자미디어센터Fwgsy3YfPOI
1https://www.youtube.com/channel/UCbl0zikxXmKC_RsEFPbCR4Q2020-11-012014-10-27https://yt3.ggpht.com/a/AATXAJwdIHrBYlB7IdN8i5C1OQHCPsSqSvZyWcy2zwBnCA=s88-c-k-c0x00ffffff-no-rj국립생태원의 다양한 동영상 자료를 공유하는 공식 유튜브 채널입니다.공공기관국립생태원2790FalseKR국립생태원qCKgRCoLipo
2https://www.youtube.com/channel/UCq0UGwuDYcEvkadTrfSjpYg2020-11-012020-01-31https://yt3.ggpht.com/a/AATXAJwRr9-e3sCB16ZrWdo2B13XLfN7YDJKZHT-SNzW=s88-c-k-c0xffffffff-no-rj-mo<NA>MCNLOUIS BRO'96FalseKR명품 리뷰 남성 명품 루이비통ryDcGcV-nA0
3https://www.youtube.com/channel/UC_DAnvtRZCuiNmZhquvBNKQ2020-11-012016-06-19https://yt3.ggpht.com/a/AATXAJysyZ4HuTCMJI9lFGKkFE6D3O-oC_-g4KYtV60VUQ=s88-c-k-c0xffffffff-no-rj-mo세상 모든 사람들의 취향을 아는 그 날까지! like or dislike review showMCN부리또 PLAY [BURRITO PLAY]9650FalseKR리뷰 실험 리액션 react like dislike react review 인터뷰 talk 호불호 호 불호 먹방 음식 인터뷰 interviewJU-KPDMUlgM
4https://www.youtube.com/channel/UCmAyToJfRFpmt365Ibq3x9g2020-11-012017-05-15https://yt3.ggpht.com/a/AATXAJyjl5M1yYKwofcRlcPWN7Q1QAtdS4F_DNq1sJ0o7w=s88-c-k-c0x00ffffff-no-rj한국도박문제관리센터는 사행산업으로 인한 중독 및 도박문제와 관련하여 예방·치유·재활 등의 사업과 활동을 위해 2013년 8월 설립한 공공기관입니다.공공기관한국도박문제관리센터1390False<NA>한국도박문제관리센터Wvj6zPuVeyU
5https://www.youtube.com/channel/UCn0OCFT_59C-BlWejfTTeJA2020-11-012015-06-04https://yt3.ggpht.com/a/AATXAJzU0IU6tuyd9No7ulND-GzHOVEBQLratl0A2-KG=s88-c-k-c0xffffffff-no-rj-mo구름이일기MCN늘구름19300False<NA><NA><NA>
6https://www.youtube.com/channel/UCNI4WSmTUwb0a63BvU8KcWg2020-11-012013-08-22https://yt3.ggpht.com/a/AATXAJxw4u6U9S336ABIfz4GYJV2_-FN93AwI9DdrsRGkA=s88-c-k-c0xffffffff-no-rj-mo제주특별자치도 서귀포시의 유투브 채널입니다.공공기관서귀포시청0True<NA>서귀포시청 서귀포시 서귀포문화 제주도 제주 서귀포여행 제주여행 서귀포문화 제주문화 문화<NA>
7https://www.youtube.com/channel/UCFyo2vDEMkBp6_NQlk-YzoQ2020-11-012011-04-01https://yt3.ggpht.com/a/AATXAJxCmTUfzc1e1-f1z6XseKBvBhC0s-hqEVF_KEmgiA=s88-c-k-c0xffffffff-no-rj-moCreative director motion graphic videographer Seoul;Korea instagram.combluck.tv facebook.combluck.tv bluckworks@gmail.comMCN102 LAB156FalseKRFilm Motiongraphic New mediacumlTkQQtjM
8https://www.youtube.com/channel/UCNi0_1K0pUtKtI5PEhC4Hzg2020-11-012015-06-16https://yt3.ggpht.com/a/AATXAJxV-ym9mdapnl-74mJFZ3kPK41Sluhv6o2-OgI3Fg=s88-c-k-c0xffffffff-no-rj-moYeetMCNGuinevere17300False<NA>life in korea daily life korea vlogorE-rZwVehQ
9https://www.youtube.com/channel/UCgISSs3Odu2Wj_bhH-GHvnw2020-11-012013-04-15https://yt3.ggpht.com/a/AATXAJz8A-loC9r_ikAgVvZQIznh61yqTgZ16UnJo7IpIA=s88-c-k-c0xffffffff-no-rj-mo대한민국 해양수산부의 공식 유튜브 채널입니다.공공기관해양수산부15000FalseKR해양수산부 해수부 해양 수산 해운 항만 문성혁 문성혁 장관 김양수 김양수 차관cyQ_HrKrZuc
채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
19https://www.youtube.com/channel/UCADTU4uYdeSWKizj8OBKQRA2020-11-012018-06-26https://yt3.ggpht.com/a/AATXAJyvpsekuU1dplS77WFglOcK3I6uXbYUBzT3p0Ct6A=s88-c-k-c0x00ffffff-no-rj고양이 행동 수정 전문 나응식 수의사의 개인 미디어 채널 전국의 집사님들 냥신에게 고민 상담하러 오세요!MCN냥신TV157000FalseKR고양이 나응식 냥신b7GKn6Ol3FQ
20https://www.youtube.com/channel/UCtcapz5lbgMUGqTPXPHGkvg2020-11-012010-04-27https://yt3.ggpht.com/a/AATXAJwlOOJWvk4QSFBth_4bZBcHPufWh7O6erw7gozz-A=s88-c-k-c0xffffffff-no-rj-moKorean who loves to music singersong writerguitaristcoversong Fan cafe : http:cafe.naver.comrublack RU's twitchTV: https:www.twitch.tvsingerguitarplayerru RU's youtube: https:www.youtube.comuserlsj9266 RU's instagram: https:www.instagram.comrururu_92MCNRU [Rock U]46000FalseUS기타치는루 기타치는ru 노래 sing song cover anime 기타 아이돌 kpop japan korea 한국 band polyphia raon 이라온 라온 raonlee pellek hjfreaks 우타이테 utaite 애니 달마발 darlim&hamabal dazbee まふまふ そらる 유튜버 한국유튜버 youtuber songyoutuber 노래유튜버 musicyoutuber 1thek mahumahu akatin vocalroid vocaro 하나땅 hanatan MindaRyn LeeandLie ilonqueen romix nanaru 달의하루CmPW02G4XaA
21https://www.youtube.com/channel/UC5Ida86tt8QKa4Myw7idxNg2020-11-012017-04-06https://yt3.ggpht.com/a/AATXAJxb3oR1JIvRlR8ZxlUyHoDu10d8QOYOYbzmO6SURQ=s88-c-k-c0xffffffff-no-rj-mo*사업 제안 & 광고; 협찬문의는 아래 메일로 부탁드립니다! 동네에 한명쯤은 꼭! 있을법한 친구같은 두 남자의 케미를 보여드립니다. 주소 : 서울시 강남구 테헤란로 518 15층 샌드박스 네트워크 핫도그TVMCN핫도그TV1060000FalseKR인생에서 제일 찌질하다는 남자나이 26살! 찌질함을 강점삼아 열심히 보여드리겠습니다!XHJcdYkgEbE
22https://www.youtube.com/channel/UCBIUfl6sStj-YSdABt7nc5A2020-11-012013-12-02https://yt3.ggpht.com/a/AATXAJxZ2z0gojrzA6tQVWty2OYV8GCnGamJ08ZSaO6G=s88-c-k-c0xffffffff-no-rj-mo<NA>공공기관행정중심복합도시건설청4410False<NA>행복청 행정중심복합도시건설청 행복도시 행정중심복합도시 세종시AZDv5aDDAU8
23https://www.youtube.com/channel/UCC9XEedRtiWNIVrSI-JayZw2020-11-012017-02-10https://yt3.ggpht.com/a/AATXAJydUOiBU_gLqh8II1_YZLiLtaVQb9qDyoZ6vAgp=s88-c-k-c0x00ffffff-no-rj태리태리 마음대로 채널!!우리같이 행복해져욤^~^MCN태리태리222000FalseKR강태리 뷰티 브이로그0gmTaX2tDHo
24https://www.youtube.com/channel/UCbBEjfZCMw5kGRN0wooRuuA2020-11-012014-05-31https://yt3.ggpht.com/a/AATXAJx5NyJT7kBO2VwOv4YmDsIzOxY3Jm-W8TNvwNm-WQ=s88-c-k-c0xffffffff-no-rj-mo<NA>MCN빙과861False<NA><NA>515Iu9EbXfc
25https://www.youtube.com/channel/UCOCsbaumol8qfClvZItt7-w2020-11-012017-01-13https://yt3.ggpht.com/a/AATXAJw3pz4F0lzVgA7U9MSE54tRnzvf8ecGtZvo8XxQ4w=s88-c-k-c0xffffffff-no-rj-mo경기도 평택; 평택시의 다양한 소식들과 정보를 알 수 있는 평택시 인터넷 방송국 '희망톡톡 평택TV'공공기관평택시2970FalseKR평택Bd3Eide0Vh8
26https://www.youtube.com/channel/UCvDbAghwnoa8Andb2bSKXfw2020-11-012013-10-17https://yt3.ggpht.com/a/AATXAJxqiU2oWdNEd6Op53-WcvWPXAZXAW1LcQP1JkW_NQ=s88-c-k-c0xffffffff-no-rj-mo침샘을 자극하는 음식들을 소개합니다. 촬영요청은 emilbus@naver.com으로 문의하시면 연락드리겠습니다.MCN야미투어 Yummy Tour15200FalseKR길거리음식 맛집 요리기술 Yummy Food<NA>
27https://www.youtube.com/channel/UCmr3uYzuaW0DJVZbF7vC-QA2020-11-012019-03-15https://yt3.ggpht.com/a/AATXAJzv1ZYIQaCAeK78RH7rpnSJkEGyPksdJ65wNtUsAw=s88-c-k-c0x00ffffff-no-rj굴즈부부 외식비용 어떻게 하면 줄일 수 있을까? 냉장고에 쌓여있는 재료들; 마트에서 쉽게 접할 수 있고; 비싸지 않은 재료들 이 세 가지를 활용해 돈도 아끼고 매일 맛있고 간단하게 행복하게 먹어보자!MCN굴즈야밥묵자194000FalseKR<NA>pw1cxD1pv9I
28https://www.youtube.com/channel/UCg7IDG09xtiIPO4XvZKmMpA2020-11-012016-12-06https://yt3.ggpht.com/a/AATXAJx9TF-UTyK_MSlcxdROW-WrN7sjI4c6gTKfISi78w=s88-c-k-c0xffffffff-no-rj-mo안녕하세요 금똥유튜브의 금똥입니다 !!! 비지니스 문의는 geumddong123@gmail.com 으로 연락주시면 감사하겠습니당 !!MCN금똥youtube45300False<NA><NA><NA>