Overview

Dataset statistics

Number of variables12
Number of observations29
Missing cells6
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory95.6 B

Variable types

Text6
Categorical3
DateTime1
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/c34ead72-b071-4469-8cb6-98588a2a3e28

Alerts

CHNNL_COLCT_DE has constant value ""Constant
READER_CO_CLSDR_AT has constant value ""Constant
CHNNL_NATION is highly overall correlated with CHNNL_READER_CO and 1 other fieldsHigh correlation
CHNNL_CHNNL_CTGRY_NM is highly overall correlated with CHNNL_NATIONHigh correlation
CHNNL_READER_CO is highly overall correlated with CHNNL_NATIONHigh correlation
CHNNL_CHNNL_KWRD_NM has 4 (13.8%) missing valuesMissing
VIDO has 2 (6.9%) missing valuesMissing
CHNNL_CHNNL_PATH has unique valuesUnique
CHNNL_CHNNL_CREAT_DE has unique valuesUnique
CHNNL_ICON has unique valuesUnique
CHNNL_CHNNL_DC has unique valuesUnique
CHNNL_CHNNL_NM has unique valuesUnique
CHNNL_READER_CO has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:06:55.959825
Analysis finished2023-12-10 14:06:58.584809
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

CHNNL_CHNNL_PATH
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:06:58.901485image/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/UCnfwIKyFYRuqZzzKBDt6JOA
2nd rowhttps://www.youtube.com/channel/UCQPPzb7y4aJz6VV1F3v066g
3rd rowhttps://www.youtube.com/channel/UCmcd3r7AsHjm3deMgx1ZPiw
4th rowhttps://www.youtube.com/channel/UCIBoeAMqlic3emU6_crV9Vw
5th rowhttps://www.youtube.com/channel/UCNjQBiTSdoj2tCQLBGXFksw
ValueCountFrequency (%)
https://www.youtube.com/channel/ucnfwikyfyruqzzzkbdt6joa 1
 
3.4%
https://www.youtube.com/channel/ucljs55bzwmscbpekt3vssoq 1
 
3.4%
https://www.youtube.com/channel/ucqredc73rqiw1wsc_zywgha 1
 
3.4%
https://www.youtube.com/channel/ucficvvy-jrtqh1epppntpfw 1
 
3.4%
https://www.youtube.com/channel/uc2tgwq3bczudagnh965ym-a 1
 
3.4%
https://www.youtube.com/channel/ucfnsbw9u_i1zktt86zjlewg 1
 
3.4%
https://www.youtube.com/channel/uc7bcrlidterrb_mkrhpvsnw 1
 
3.4%
https://www.youtube.com/channel/uctzpzo3xuw5k6rkhlvaj0jq 1
 
3.4%
https://www.youtube.com/channel/uciipmdpvk7nznheushmvkug 1
 
3.4%
https://www.youtube.com/channel/ucem8l1w4owhkqpoog1sb4_w 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T23:06:59.553291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 116
 
7.1%
w 104
 
6.4%
t 100
 
6.2%
e 74
 
4.6%
o 69
 
4.2%
c 66
 
4.1%
n 66
 
4.1%
u 66
 
4.1%
h 63
 
3.9%
. 58
 
3.6%
Other values (57) 842
51.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 982
60.5%
Uppercase Letter 328
 
20.2%
Other Punctuation 203
 
12.5%
Decimal Number 95
 
5.8%
Dash Punctuation 8
 
0.5%
Connector Punctuation 8
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 104
 
10.6%
t 100
 
10.2%
e 74
 
7.5%
o 69
 
7.0%
c 66
 
6.7%
n 66
 
6.7%
u 66
 
6.7%
h 63
 
6.4%
p 44
 
4.5%
m 41
 
4.2%
Other values (16) 289
29.4%
Uppercase Letter
ValueCountFrequency (%)
U 41
 
12.5%
C 39
 
11.9%
B 17
 
5.2%
Q 17
 
5.2%
A 16
 
4.9%
P 15
 
4.6%
R 15
 
4.6%
Z 14
 
4.3%
S 12
 
3.7%
D 11
 
3.4%
Other values (16) 131
39.9%
Decimal Number
ValueCountFrequency (%)
3 14
14.7%
6 14
14.7%
1 14
14.7%
5 10
10.5%
7 10
10.5%
8 9
9.5%
9 8
8.4%
4 7
7.4%
0 5
 
5.3%
2 4
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 116
57.1%
. 58
28.6%
: 29
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1310
80.7%
Common 314
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 104
 
7.9%
t 100
 
7.6%
e 74
 
5.6%
o 69
 
5.3%
c 66
 
5.0%
n 66
 
5.0%
u 66
 
5.0%
h 63
 
4.8%
p 44
 
3.4%
U 41
 
3.1%
Other values (42) 617
47.1%
Common
ValueCountFrequency (%)
/ 116
36.9%
. 58
18.5%
: 29
 
9.2%
3 14
 
4.5%
6 14
 
4.5%
1 14
 
4.5%
5 10
 
3.2%
7 10
 
3.2%
8 9
 
2.9%
- 8
 
2.5%
Other values (5) 32
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 116
 
7.1%
w 104
 
6.4%
t 100
 
6.2%
e 74
 
4.6%
o 69
 
4.2%
c 66
 
4.1%
n 66
 
4.1%
u 66
 
4.1%
h 63
 
3.9%
. 58
 
3.6%
Other values (57) 842
51.8%

CHNNL_COLCT_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2020-10-01
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2020-10-01 29
100.0%

Length

2023-12-10T23:06:59.864990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:07:00.016128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-01 29
100.0%

CHNNL_CHNNL_CREAT_DE
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2009-07-21 00:00:00
Maximum2019-03-15 00:00:00
2023-12-10T23:07:00.182168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:07:00.411288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

CHNNL_ICON
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:07:01.007499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length99
Mean length98.724138
Min length97

Characters and Unicode

Total characters2863
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/AATXAJxaDVlUPqZHSbhlU2JqHDqjvnvK7PGRMQmhjCqy7A=s88-c-k-c0xffffffff-no-rj-mo
2nd rowhttps://yt3.ggpht.com/a/AATXAJwJlecYgVbv4-omj1nRSiz6XUc2LULY9oxpgetGVQ=s88-c-k-c0xffffffff-no-rj-mo
3rd rowhttps://yt3.ggpht.com/a/AATXAJxUhvFQjRfD_AIF8lklez0oCCQ3JmYTtLXAOWlpQQ=s88-c-k-c0xffffffff-no-rj-mo
4th rowhttps://yt3.ggpht.com/a/AATXAJwBWZ-AIFsDSePhB9p5Uv_gmrB-MQB-TL_H9vzexA=s88-c-k-c0xffffffff-no-rj-mo
5th rowhttps://yt3.ggpht.com/a/AATXAJyKRd6UvxHfnugFJN-CaVYq9drEy0lRuwZvrK_QOQ=s88-c-k-c0xffffffff-no-rj-mo
ValueCountFrequency (%)
https://yt3.ggpht.com/a/aatxajxadvlupqzhsbhlu2jqhdqjvnvk7pgrmqmhjcqy7a=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajwqx8smhi8tbv4j6i9h7k8ecjzgkjdu5kwcnkoorw=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajwa1kfei0fw5gqroibl58owytwawme5komlig-mqg=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajywhsb0moro9cow13p0dejmobc13fnozfnqu71cqg=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajwzaam82wehkouzh9f6kvrfxl2uxl-abkhik7yygq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajwm2iw701x-l_udwnqs1hnenm1sujpnr47m_5a2iw=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajyigtqp-egi9f63pwnglx2f3iofkhenglbcbpxsla=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajyj2o3tj0onqbx3uxpbiqu9o6djh2t-8kzdht2wda=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajx0xzoccod9pb2nzynopiy8jqh-yjt8nbtndsjbqq=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
https://yt3.ggpht.com/a/aatxajw0he0hwd7clxvv87a3o2oeceqsqjh738dpeeh9ta=s88-c-k-c0xffffffff-no-rj-mo 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T23:07:01.880746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 247
 
8.6%
- 193
 
6.7%
t 131
 
4.6%
/ 116
 
4.1%
o 109
 
3.8%
A 108
 
3.8%
c 103
 
3.6%
8 81
 
2.8%
m 79
 
2.8%
h 77
 
2.7%
Other values (58) 1619
56.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1488
52.0%
Uppercase Letter 644
22.5%
Decimal Number 290
 
10.1%
Other Punctuation 203
 
7.1%
Dash Punctuation 193
 
6.7%
Math Symbol 29
 
1.0%
Connector Punctuation 16
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 247
16.6%
t 131
 
8.8%
o 109
 
7.3%
c 103
 
6.9%
m 79
 
5.3%
h 77
 
5.2%
g 77
 
5.2%
p 76
 
5.1%
s 69
 
4.6%
n 51
 
3.4%
Other values (16) 469
31.5%
Uppercase Letter
ValueCountFrequency (%)
A 108
16.8%
J 51
 
7.9%
X 40
 
6.2%
T 37
 
5.7%
Q 32
 
5.0%
P 27
 
4.2%
O 26
 
4.0%
I 23
 
3.6%
F 20
 
3.1%
U 20
 
3.1%
Other values (16) 260
40.4%
Decimal Number
ValueCountFrequency (%)
8 81
27.9%
3 49
16.9%
0 44
15.2%
2 25
 
8.6%
7 20
 
6.9%
6 17
 
5.9%
9 17
 
5.9%
1 16
 
5.5%
5 11
 
3.8%
4 10
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 116
57.1%
. 58
28.6%
: 29
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 193
100.0%
Math Symbol
ValueCountFrequency (%)
= 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2132
74.5%
Common 731
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 247
 
11.6%
t 131
 
6.1%
o 109
 
5.1%
A 108
 
5.1%
c 103
 
4.8%
m 79
 
3.7%
h 77
 
3.6%
g 77
 
3.6%
p 76
 
3.6%
s 69
 
3.2%
Other values (42) 1056
49.5%
Common
ValueCountFrequency (%)
- 193
26.4%
/ 116
15.9%
8 81
11.1%
. 58
 
7.9%
3 49
 
6.7%
0 44
 
6.0%
: 29
 
4.0%
= 29
 
4.0%
2 25
 
3.4%
7 20
 
2.7%
Other values (6) 87
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2863
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 247
 
8.6%
- 193
 
6.7%
t 131
 
4.6%
/ 116
 
4.1%
o 109
 
3.8%
A 108
 
3.8%
c 103
 
3.6%
8 81
 
2.8%
m 79
 
2.8%
h 77
 
2.7%
Other values (58) 1619
56.5%

CHNNL_CHNNL_DC
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:07:02.370909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length396
Median length99
Mean length109.75862
Min length6

Characters and Unicode

Total characters3183
Distinct characters452
Distinct categories16 ?
Distinct scripts3 ?
Distinct blocks7 ?
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 row매일경제TV는 매일경제신문은 물론 MBN; 매경닷컴 등 매경미디어그룹의 경제; 경영 금융; 증권 부동산; 창업 등 다양한 분야의 명품 콘텐츠를 제공함과 동시에 단순히 돈을 버는 것으로 끝나는 게 아니라 삶의 질을 높이는 방송이 될 것입니다. http:www.mktv.co.kr
2nd row안녕하세요 트위치에서 방송하고 있는 백설양입니다; 더빙; 게임; 라디오를 진행하고있습니다. YouTube 백설양 채널을 구독하시면 새로 업데이트 되는 동영상의 안내를 바로 받아보실 수 있습니다 ^^
3rd row유튜브 시작 날짜 2012 . 01 . 10 96년 6월 11일생 문의 : apple3203@naver.com 여러분을 미친듯이 웃길 입담은 없지만 즐겁게 볼수있는 영상을 만들기위해 노력하겠습니다. [컴퓨터 사양] CPU i7 8700 커피레이크 RAM 32기가 VGA RTX2060
4th row모두들 개모링~★ LOL 서폿 방송 1위! 그랩;운영;한타 등등 여러가지를 알려드립니다!! 감사합니다 따랑해여~♥
5th row책 읽어주는 라디오 + 외국어 라디오 (서울 수도권 104.5MHz) 한국교육방송 EBS 라디오 공식 운영 채널 입니다
ValueCountFrequency (%)
17
 
2.7%
홀릭 6
 
1.0%
유튜브 6
 
1.0%
채널입니다 5
 
0.8%
다양한 5
 
0.8%
사사건건 5
 
0.8%
전문 4
 
0.6%
ebs 4
 
0.6%
안녕하세요 4
 
0.6%
등 4
 
0.6%
Other values (505) 566
90.4%
2023-12-10T23:07:03.178145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
658
 
20.7%
. 61
 
1.9%
다 52
 
1.6%
; 48
 
1.5%
o 46
 
1.4%
니 42
 
1.3%
e 38
 
1.2%
하 33
 
1.0%
t 33
 
1.0%
는 32
 
1.0%
Other values (442) 2140
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1647
51.7%
Space Separator 658
 
20.7%
Lowercase Letter 420
 
13.2%
Other Punctuation 164
 
5.2%
Uppercase Letter 131
 
4.1%
Decimal Number 86
 
2.7%
Other Symbol 28
 
0.9%
Close Punctuation 12
 
0.4%
Open Punctuation 12
 
0.4%
Math Symbol 10
 
0.3%
Other values (6) 15
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 52
 
3.2%
니 42
 
2.6%
하 33
 
2.0%
는 32
 
1.9%
이 30
 
1.8%
의 29
 
1.8%
한 24
 
1.5%
로 22
 
1.3%
사 21
 
1.3%
방 20
 
1.2%
Other values (356) 1342
81.5%
Lowercase Letter
ValueCountFrequency (%)
o 46
 
11.0%
e 38
 
9.0%
t 33
 
7.9%
n 28
 
6.7%
r 27
 
6.4%
s 24
 
5.7%
a 23
 
5.5%
c 22
 
5.2%
i 19
 
4.5%
w 17
 
4.0%
Other values (15) 143
34.0%
Uppercase Letter
ValueCountFrequency (%)
T 21
16.0%
S 9
 
6.9%
B 9
 
6.9%
A 9
 
6.9%
N 8
 
6.1%
R 7
 
5.3%
K 7
 
5.3%
I 7
 
5.3%
V 6
 
4.6%
D 6
 
4.6%
Other values (14) 42
32.1%
Decimal Number
ValueCountFrequency (%)
0 23
26.7%
1 19
22.1%
2 12
14.0%
5 6
 
7.0%
7 5
 
5.8%
8 5
 
5.8%
3 5
 
5.8%
6 5
 
5.8%
4 4
 
4.7%
9 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 61
37.2%
; 48
29.3%
! 24
 
14.6%
: 15
 
9.1%
@ 7
 
4.3%
& 4
 
2.4%
' 3
 
1.8%
? 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
★ 16
57.1%
☆ 10
35.7%
ⓒ 1
 
3.6%
♥ 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 7
70.0%
▷ 2
 
20.0%
+ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 6
50.0%
] 6
50.0%
Open Punctuation
ValueCountFrequency (%)
[ 6
50.0%
( 6
50.0%
Other Number
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%
Space Separator
ValueCountFrequency (%)
658
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1647
51.7%
Common 985
30.9%
Latin 551
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 52
 
3.2%
니 42
 
2.6%
하 33
 
2.0%
는 32
 
1.9%
이 30
 
1.8%
의 29
 
1.8%
한 24
 
1.5%
로 22
 
1.3%
사 21
 
1.3%
방 20
 
1.2%
Other values (356) 1342
81.5%
Latin
ValueCountFrequency (%)
o 46
 
8.3%
e 38
 
6.9%
t 33
 
6.0%
n 28
 
5.1%
r 27
 
4.9%
s 24
 
4.4%
a 23
 
4.2%
c 22
 
4.0%
T 21
 
3.8%
i 19
 
3.4%
Other values (39) 270
49.0%
Common
ValueCountFrequency (%)
658
66.8%
. 61
 
6.2%
; 48
 
4.9%
! 24
 
2.4%
0 23
 
2.3%
1 19
 
1.9%
★ 16
 
1.6%
: 15
 
1.5%
2 12
 
1.2%
☆ 10
 
1.0%
Other values (27) 99
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1644
51.6%
ASCII 1500
47.1%
Misc Symbols 27
 
0.8%
Punctuation 4
 
0.1%
Compat Jamo 3
 
0.1%
Enclosed Alphanum 3
 
0.1%
Geometric Shapes 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
658
43.9%
. 61
 
4.1%
; 48
 
3.2%
o 46
 
3.1%
e 38
 
2.5%
t 33
 
2.2%
n 28
 
1.9%
r 27
 
1.8%
s 24
 
1.6%
! 24
 
1.6%
Other values (67) 513
34.2%
Hangul
ValueCountFrequency (%)
다 52
 
3.2%
니 42
 
2.6%
하 33
 
2.0%
는 32
 
1.9%
이 30
 
1.8%
의 29
 
1.8%
한 24
 
1.5%
로 22
 
1.3%
사 21
 
1.3%
방 20
 
1.2%
Other values (354) 1339
81.4%
Misc Symbols
ValueCountFrequency (%)
★ 16
59.3%
☆ 10
37.0%
♥ 1
 
3.7%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
66.7%
ㅁ 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
▷ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 1
33.3%
① 1
33.3%
② 1
33.3%

CHNNL_CHNNL_CTGRY_NM
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
MCN
22 
TV
7 

Length

Max length3
Median length3
Mean length2.7586207
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MCN 22
75.9%
TV 7
 
24.1%

Length

2023-12-10T23:07:03.397050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:07:03.544433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 22
75.9%
tv 7
 
24.1%

CHNNL_CHNNL_NM
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:07:03.820765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.2758621
Min length2

Characters and Unicode

Total characters211
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row매일경제TV
2nd row백설양
3rd rowYT Apple
4th row개인팟
5th rowEBS 라디오 공식 채널
ValueCountFrequency (%)
tv 3
 
6.8%
채널a 2
 
4.5%
매일경제tv 1
 
2.3%
윰댕(yum-cast 1
 
2.3%
엠빅뉴스 1
 
2.3%
talk 1
 
2.3%
to 1
 
2.3%
me 1
 
2.3%
in 1
 
2.3%
korean 1
 
2.3%
Other values (31) 31
70.5%
2023-12-10T23:07:04.607402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
7.1%
T 12
 
5.7%
e 10
 
4.7%
n 9
 
4.3%
V 7
 
3.3%
a 7
 
3.3%
t 6
 
2.8%
o 5
 
2.4%
r 5
 
2.4%
A 5
 
2.4%
Other values (89) 130
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
34.1%
Lowercase Letter 66
31.3%
Uppercase Letter 51
24.2%
Space Separator 15
 
7.1%
Decimal Number 2
 
0.9%
Close Punctuation 2
 
0.9%
Open Punctuation 2
 
0.9%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 4
 
5.6%
널 3
 
4.2%
뉴 3
 
4.2%
채 3
 
4.2%
비 2
 
2.8%
빅 2
 
2.8%
이 2
 
2.8%
디 2
 
2.8%
사 2
 
2.8%
건 2
 
2.8%
Other values (47) 47
65.3%
Uppercase Letter
ValueCountFrequency (%)
T 12
23.5%
V 7
13.7%
A 5
9.8%
B 5
9.8%
S 3
 
5.9%
E 3
 
5.9%
F 3
 
5.9%
O 2
 
3.9%
G 2
 
3.9%
N 2
 
3.9%
Other values (7) 7
13.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.2%
n 9
13.6%
a 7
10.6%
t 6
9.1%
o 5
7.6%
r 5
7.6%
l 4
 
6.1%
u 3
 
4.5%
m 3
 
4.5%
i 3
 
4.5%
Other values (7) 11
16.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
50.0%
」 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
「 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 117
55.5%
Hangul 72
34.1%
Common 22
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 4
 
5.6%
널 3
 
4.2%
뉴 3
 
4.2%
채 3
 
4.2%
비 2
 
2.8%
빅 2
 
2.8%
이 2
 
2.8%
디 2
 
2.8%
사 2
 
2.8%
건 2
 
2.8%
Other values (47) 47
65.3%
Latin
ValueCountFrequency (%)
T 12
 
10.3%
e 10
 
8.5%
n 9
 
7.7%
V 7
 
6.0%
a 7
 
6.0%
t 6
 
5.1%
o 5
 
4.3%
r 5
 
4.3%
A 5
 
4.3%
B 5
 
4.3%
Other values (24) 46
39.3%
Common
ValueCountFrequency (%)
15
68.2%
1 1
 
4.5%
0 1
 
4.5%
) 1
 
4.5%
- 1
 
4.5%
( 1
 
4.5%
「 1
 
4.5%
」 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
64.9%
Hangul 72
34.1%
None 2
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
 
10.9%
T 12
 
8.8%
e 10
 
7.3%
n 9
 
6.6%
V 7
 
5.1%
a 7
 
5.1%
t 6
 
4.4%
o 5
 
3.6%
r 5
 
3.6%
A 5
 
3.6%
Other values (30) 56
40.9%
Hangul
ValueCountFrequency (%)
스 4
 
5.6%
널 3
 
4.2%
뉴 3
 
4.2%
채 3
 
4.2%
비 2
 
2.8%
빅 2
 
2.8%
이 2
 
2.8%
디 2
 
2.8%
사 2
 
2.8%
건 2
 
2.8%
Other values (47) 47
65.3%
None
ValueCountFrequency (%)
「 1
50.0%
」 1
50.0%

CHNNL_READER_CO
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1663339.3
Minimum5840
Maximum37500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T23:07:04.910758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5840
5-th percentile16980
Q1104000
median259000
Q3645000
95-th percentile1378000
Maximum37500000
Range37494160
Interquartile range (IQR)541000

Descriptive statistics

Standard deviation6903414.4
Coefficient of variation (CV)4.1503344
Kurtosis28.794103
Mean1663339.3
Median Absolute Deviation (MAD)217000
Skewness5.3576926
Sum48236840
Variance4.765713 × 1013
MonotonicityNot monotonic
2023-12-10T23:07:05.585612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
90700 1
 
3.4%
106000 1
 
3.4%
1490000 1
 
3.4%
222000 1
 
3.4%
259000 1
 
3.4%
5840 1
 
3.4%
30300 1
 
3.4%
351000 1
 
3.4%
217000 1
 
3.4%
650000 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
5840 1
3.4%
13300 1
3.4%
22500 1
3.4%
28000 1
3.4%
30300 1
3.4%
90700 1
3.4%
98200 1
3.4%
104000 1
3.4%
106000 1
3.4%
116000 1
3.4%
ValueCountFrequency (%)
37500000 1
3.4%
1490000 1
3.4%
1210000 1
3.4%
1030000 1
3.4%
971000 1
3.4%
781000 1
3.4%
650000 1
3.4%
645000 1
3.4%
575000 1
3.4%
476000 1
3.4%

READER_CO_CLSDR_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size190.0 B
False
29 
ValueCountFrequency (%)
False 29
100.0%
2023-12-10T23:07:05.872452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CHNNL_NATION
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
KR
24 
<NA>
5 

Length

Max length4
Median length2
Mean length2.3448276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 24
82.8%
<NA> 5
 
17.2%

Length

2023-12-10T23:07:06.033960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:07:06.198838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 24
82.8%
na 5
 
17.2%

CHNNL_CHNNL_KWRD_NM
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing4
Missing (%)13.8%
Memory size364.0 B
2023-12-10T23:07:06.659568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length50
Mean length41.84
Min length5

Characters and Unicode

Total characters1046
Distinct characters282
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

Unique25 ?
Unique (%)100.0%

Sample

1st row매일경제TV 매일경제 MBN 특강 경제 주식 강좌 MBN골드 와우넷 한국경제 매경 투자 시황 펀드 재테크 부동산 주식투자
2nd row백설양 롤 라디오 트위치
3rd rowYT 애플
4th row모닝스페셜 ebs ebs라디오생방송 한준희의축구축구 ebs태국어 ebs라디오 야구야구 englishgogo 인도네시아어 잉글리쉬고고
5th row건담 홀릭 Gundam Holic)
ValueCountFrequency (%)
먹방 5
 
2.3%
korean 3
 
1.4%
트위치 2
 
0.9%
채널a 2
 
0.9%
채널에이 2
 
0.9%
시사 2
 
0.9%
사회 2
 
0.9%
ebs 2
 
0.9%
tekken 2
 
0.9%
뉴스 2
 
0.9%
Other values (189) 192
88.9%
2023-12-10T23:07:07.540381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
18.3%
o 32
 
3.1%
e 23
 
2.2%
a 19
 
1.8%
r 17
 
1.6%
n 17
 
1.6%
g 14
 
1.3%
스 13
 
1.2%
T 13
 
1.2%
방 13
 
1.2%
Other values (272) 694
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
50.3%
Lowercase Letter 207
 
19.8%
Space Separator 191
 
18.3%
Uppercase Letter 104
 
9.9%
Decimal Number 11
 
1.1%
Other Punctuation 6
 
0.6%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 13
 
2.5%
방 13
 
2.5%
이 12
 
2.3%
사 12
 
2.3%
시 12
 
2.3%
오 8
 
1.5%
송 7
 
1.3%
치 7
 
1.3%
라 7
 
1.3%
뉴 6
 
1.1%
Other values (217) 429
81.6%
Uppercase Letter
ValueCountFrequency (%)
T 13
12.5%
K 11
 
10.6%
B 8
 
7.7%
N 8
 
7.7%
E 8
 
7.7%
S 7
 
6.7%
V 6
 
5.8%
L 5
 
4.8%
A 5
 
4.8%
G 5
 
4.8%
Other values (13) 28
26.9%
Lowercase Letter
ValueCountFrequency (%)
o 32
15.5%
e 23
11.1%
a 19
 
9.2%
r 17
 
8.2%
n 17
 
8.2%
g 14
 
6.8%
s 12
 
5.8%
m 9
 
4.3%
k 8
 
3.9%
t 8
 
3.9%
Other values (12) 48
23.2%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
9 3
27.3%
8 2
18.2%
3 2
18.2%
0 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
! 1
 
16.7%
' 1
 
16.7%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 524
50.1%
Latin 311
29.7%
Common 209
 
20.0%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 13
 
2.5%
방 13
 
2.5%
이 12
 
2.3%
사 12
 
2.3%
시 12
 
2.3%
오 8
 
1.5%
송 7
 
1.3%
치 7
 
1.3%
라 7
 
1.3%
뉴 6
 
1.1%
Other values (215) 427
81.5%
Latin
ValueCountFrequency (%)
o 32
 
10.3%
e 23
 
7.4%
a 19
 
6.1%
r 17
 
5.5%
n 17
 
5.5%
g 14
 
4.5%
T 13
 
4.2%
s 12
 
3.9%
K 11
 
3.5%
m 9
 
2.9%
Other values (35) 144
46.3%
Common
ValueCountFrequency (%)
191
91.4%
. 4
 
1.9%
1 3
 
1.4%
9 3
 
1.4%
8 2
 
1.0%
3 2
 
1.0%
0 1
 
0.5%
! 1
 
0.5%
) 1
 
0.5%
' 1
 
0.5%
Han
ValueCountFrequency (%)
拳 1
50.0%
鐵 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 524
50.1%
ASCII 520
49.7%
CJK 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
36.7%
o 32
 
6.2%
e 23
 
4.4%
a 19
 
3.7%
r 17
 
3.3%
n 17
 
3.3%
g 14
 
2.7%
T 13
 
2.5%
s 12
 
2.3%
K 11
 
2.1%
Other values (45) 171
32.9%
Hangul
ValueCountFrequency (%)
스 13
 
2.5%
방 13
 
2.5%
이 12
 
2.3%
사 12
 
2.3%
시 12
 
2.3%
오 8
 
1.5%
송 7
 
1.3%
치 7
 
1.3%
라 7
 
1.3%
뉴 6
 
1.1%
Other values (215) 427
81.5%
CJK
ValueCountFrequency (%)
拳 1
50.0%
鐵 1
50.0%

VIDO
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing2
Missing (%)6.9%
Memory size364.0 B
2023-12-10T23:07:07.867602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters297
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowF-msd6tV5_M
2nd rowriATxq431k4
3rd rowOx_BNMphZ8U
4th row3Jl1RCE2PaA
5th rowFgNYsrZ6VQw
ValueCountFrequency (%)
f-msd6tv5_m 1
 
3.7%
re_g4b4s50u 1
 
3.7%
alguliy2ok0 1
 
3.7%
tkwrv4msuww 1
 
3.7%
0smwnunrgc 1
 
3.7%
4yi2jdt__yk 1
 
3.7%
cqgiaioofsw 1
 
3.7%
n3biichtoz4 1
 
3.7%
vkd1wnqx_eg 1
 
3.7%
bil0x4c_g0o 1
 
3.7%
Other values (17) 17
63.0%
2023-12-10T23:07:08.448857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 11
 
3.7%
g 9
 
3.0%
k 9
 
3.0%
U 9
 
3.0%
W 8
 
2.7%
0 8
 
2.7%
i 7
 
2.4%
Z 7
 
2.4%
_ 7
 
2.4%
M 7
 
2.4%
Other values (53) 215
72.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 131
44.1%
Lowercase Letter 108
36.4%
Decimal Number 48
 
16.2%
Connector Punctuation 7
 
2.4%
Dash Punctuation 3
 
1.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 9
 
6.9%
W 8
 
6.1%
Z 7
 
5.3%
M 7
 
5.3%
G 7
 
5.3%
N 7
 
5.3%
R 7
 
5.3%
L 6
 
4.6%
S 6
 
4.6%
E 6
 
4.6%
Other values (16) 61
46.6%
Lowercase Letter
ValueCountFrequency (%)
g 9
 
8.3%
k 9
 
8.3%
i 7
 
6.5%
o 7
 
6.5%
s 5
 
4.6%
y 5
 
4.6%
b 5
 
4.6%
w 5
 
4.6%
r 5
 
4.6%
j 5
 
4.6%
Other values (15) 46
42.6%
Decimal Number
ValueCountFrequency (%)
4 11
22.9%
0 8
16.7%
6 5
10.4%
1 5
10.4%
3 4
 
8.3%
2 4
 
8.3%
5 4
 
8.3%
9 3
 
6.2%
7 3
 
6.2%
8 1
 
2.1%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 239
80.5%
Common 58
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 9
 
3.8%
k 9
 
3.8%
U 9
 
3.8%
W 8
 
3.3%
i 7
 
2.9%
Z 7
 
2.9%
M 7
 
2.9%
G 7
 
2.9%
N 7
 
2.9%
R 7
 
2.9%
Other values (41) 162
67.8%
Common
ValueCountFrequency (%)
4 11
19.0%
0 8
13.8%
_ 7
12.1%
6 5
8.6%
1 5
8.6%
3 4
 
6.9%
2 4
 
6.9%
5 4
 
6.9%
9 3
 
5.2%
7 3
 
5.2%
Other values (2) 4
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 11
 
3.7%
g 9
 
3.0%
k 9
 
3.0%
U 9
 
3.0%
W 8
 
2.7%
0 8
 
2.7%
i 7
 
2.4%
Z 7
 
2.4%
_ 7
 
2.4%
M 7
 
2.4%
Other values (53) 215
72.4%

Interactions

2023-12-10T23:06:57.333253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:07:08.640882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CHNNL_CHNNL_PATHCHNNL_CHNNL_CREAT_DECHNNL_ICONCHNNL_CHNNL_DCCHNNL_CHNNL_CTGRY_NMCHNNL_CHNNL_NMCHNNL_READER_COCHNNL_CHNNL_KWRD_NMVIDO
CHNNL_CHNNL_PATH1.0001.0001.0001.0001.0001.0001.0001.0001.000
CHNNL_CHNNL_CREAT_DE1.0001.0001.0001.0001.0001.0001.0001.0001.000
CHNNL_ICON1.0001.0001.0001.0001.0001.0001.0001.0001.000
CHNNL_CHNNL_DC1.0001.0001.0001.0001.0001.0001.0001.0001.000
CHNNL_CHNNL_CTGRY_NM1.0001.0001.0001.0001.0001.0000.0001.0001.000
CHNNL_CHNNL_NM1.0001.0001.0001.0001.0001.0001.0001.0001.000
CHNNL_READER_CO1.0001.0001.0001.0000.0001.0001.0001.0001.000
CHNNL_CHNNL_KWRD_NM1.0001.0001.0001.0001.0001.0001.0001.0001.000
VIDO1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-10T23:07:08.887840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CHNNL_NATIONCHNNL_CHNNL_CTGRY_NM
CHNNL_NATION1.0001.000
CHNNL_CHNNL_CTGRY_NM1.0001.000
2023-12-10T23:07:09.044758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CHNNL_READER_COCHNNL_CHNNL_CTGRY_NMCHNNL_NATION
CHNNL_READER_CO1.0000.0001.000
CHNNL_CHNNL_CTGRY_NM0.0001.0001.000
CHNNL_NATION1.0001.0001.000

Missing values

2023-12-10T23:06:57.671695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:06:58.142720image/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.
2023-12-10T23:06:58.424906image/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

CHNNL_CHNNL_PATHCHNNL_COLCT_DECHNNL_CHNNL_CREAT_DECHNNL_ICONCHNNL_CHNNL_DCCHNNL_CHNNL_CTGRY_NMCHNNL_CHNNL_NMCHNNL_READER_COREADER_CO_CLSDR_ATCHNNL_NATIONCHNNL_CHNNL_KWRD_NMVIDO
0https://www.youtube.com/channel/UCnfwIKyFYRuqZzzKBDt6JOA2020-10-012018-10-23https://yt3.ggpht.com/a/AATXAJxaDVlUPqZHSbhlU2JqHDqjvnvK7PGRMQmhjCqy7A=s88-c-k-c0xffffffff-no-rj-mo매일경제TV는 매일경제신문은 물론 MBN; 매경닷컴 등 매경미디어그룹의 경제; 경영 금융; 증권 부동산; 창업 등 다양한 분야의 명품 콘텐츠를 제공함과 동시에 단순히 돈을 버는 것으로 끝나는 게 아니라 삶의 질을 높이는 방송이 될 것입니다. http:www.mktv.co.krTV매일경제TV90700FalseKR매일경제TV 매일경제 MBN 특강 경제 주식 강좌 MBN골드 와우넷 한국경제 매경 투자 시황 펀드 재테크 부동산 주식투자F-msd6tV5_M
1https://www.youtube.com/channel/UCQPPzb7y4aJz6VV1F3v066g2020-10-012011-09-25https://yt3.ggpht.com/a/AATXAJwJlecYgVbv4-omj1nRSiz6XUc2LULY9oxpgetGVQ=s88-c-k-c0xffffffff-no-rj-mo안녕하세요 트위치에서 방송하고 있는 백설양입니다; 더빙; 게임; 라디오를 진행하고있습니다. YouTube 백설양 채널을 구독하시면 새로 업데이트 되는 동영상의 안내를 바로 받아보실 수 있습니다 ^^MCN백설양106000FalseKR백설양 롤 라디오 트위치riATxq431k4
2https://www.youtube.com/channel/UCmcd3r7AsHjm3deMgx1ZPiw2020-10-012011-12-30https://yt3.ggpht.com/a/AATXAJxUhvFQjRfD_AIF8lklez0oCCQ3JmYTtLXAOWlpQQ=s88-c-k-c0xffffffff-no-rj-mo유튜브 시작 날짜 2012 . 01 . 10 96년 6월 11일생 문의 : apple3203@naver.com 여러분을 미친듯이 웃길 입담은 없지만 즐겁게 볼수있는 영상을 만들기위해 노력하겠습니다. [컴퓨터 사양] CPU i7 8700 커피레이크 RAM 32기가 VGA RTX2060MCNYT Apple329000False<NA>YT 애플Ox_BNMphZ8U
3https://www.youtube.com/channel/UCIBoeAMqlic3emU6_crV9Vw2020-10-012013-05-25https://yt3.ggpht.com/a/AATXAJwBWZ-AIFsDSePhB9p5Uv_gmrB-MQB-TL_H9vzexA=s88-c-k-c0xffffffff-no-rj-mo모두들 개모링~★ LOL 서폿 방송 1위! 그랩;운영;한타 등등 여러가지를 알려드립니다!! 감사합니다 따랑해여~♥MCN개인팟117000FalseKR<NA>3Jl1RCE2PaA
4https://www.youtube.com/channel/UCNjQBiTSdoj2tCQLBGXFksw2020-10-012019-03-15https://yt3.ggpht.com/a/AATXAJyKRd6UvxHfnugFJN-CaVYq9drEy0lRuwZvrK_QOQ=s88-c-k-c0xffffffff-no-rj-mo책 읽어주는 라디오 + 외국어 라디오 (서울 수도권 104.5MHz) 한국교육방송 EBS 라디오 공식 운영 채널 입니다TVEBS 라디오 공식 채널22500FalseKR모닝스페셜 ebs ebs라디오생방송 한준희의축구축구 ebs태국어 ebs라디오 야구야구 englishgogo 인도네시아어 잉글리쉬고고FgNYsrZ6VQw
5https://www.youtube.com/channel/UC1MQ-3B7gRmyeAzBtt-GAUA2020-10-012013-02-27https://yt3.ggpht.com/a/AATXAJwQay6pcL7LYoJjpUmiLP7GZLiWAv-mgwF9l21lPw=s88-c-k-c0xffffffff-no-rj-mo취미 전문 스타트업 원티비넷 (OneTvNet) 에서 제공하는 하비 전문 방송 서비스 채널 입니다. 건담비건담 (레고또봇 포함) 프라모델에서 완성품까지 여러 신제품기존 제품 리뷰; 한정판 리뷰; 3D 스핀; LBX 커스터 마이징 등 다양한 컨텐츠를 재미있고 알차게 준비하여 꾸준히 업로드 하도록 하겠습니다. 또한; 저희 건담 홀릭 패밀리 채널인 슈퍼 히어로 홀릭; 피규어 홀릭; 페이퍼 홀릭; 펫 홀릭 (반려 동물) 등 다양한 취미 관련 방송 채널도 많은 관심과 성원; 구독 부탁 드립니다. 감사합니다.. ^^ 2015년 722(수) 건담 홀릭 구독자 27;000명 달성..!! 진심으로 감사의 말씀 올립니다. 앞으로도 겸허한 마음과 초심을 잃지 않는 최상의 서비스를 만들고자 최선을 다 하겠습니다.MCNGundam Holic TV173000FalseKR건담 홀릭 Gundam Holic)aI6q0QmR2GM
6https://www.youtube.com/channel/UCB-ogYCX9Me8nP9gEGpMjUg2020-10-012012-05-17https://yt3.ggpht.com/a/AATXAJwYhu7Uo1P6HAx-HjOBo2znsZgDhw2l8K_Nm3-jIQ=s88-c-k-c0xffffffff-no-rj-mo동아미디어그룹 종합편성 TV 채널A 예능 프로그램TV채널A Entertainment315000False<NA>채널A 채널에이 채널A예능 개밥남 개밥주는남자 오쾌남 오!쾌남 이만갑 이제만나러갑니다 아빠본색 하트시그널 밥한번먹자 풍문으로들었쇼 외부자들 나는몸신이다oFUboVESHhM
7https://www.youtube.com/channel/UCN3RfsR18gsH8PLI6R6PYSQ2020-10-012014-07-15https://yt3.ggpht.com/a/AATXAJw1-N_gdMjSvNBb4WVY9JF2QmqUUmTJy46NIDpaZA=s88-c-k-c0xffffffff-no-rj-mo한국교육방송공사 EBS 뉴스 채널입니다. EBS 뉴스의 TV 방송시간은 월~금 낮 12시; 저녁 5시입니다. Republic of Korea's station EBS; NewsTV뉴스EBS13300FalseKREBS NEWSKgFr6ULl7ag
8https://www.youtube.com/channel/UCL784ga_3vTDUpEZxgveRNQ2020-10-012014-03-26https://yt3.ggpht.com/a/AATXAJyYXrPmYZy8D3ozOmQ1XWdsbkI2g6IfdwP2_3Iu=s88-c-k-c0xffffffff-no-rj-mo맛집을 비롯해서 편의점; 대형마트; 인터넷 쇼핑몰; 전통시장; 배달음식; 패스트푸드; 집에서 만들어 먹는 음식; 어머니가 해주시는 음식 등의 정보를 소개하는 채널입니다. 먹방은 조카가 맛있게 먹는 모습 정도는 보여드리지만; 먹방은 아니고; 평소의 일상생활속에서 제가 구입해서 먹는 다양한 음식의 정보를 소개하면서 개인적인 평가를 내리는데; 참고하셔서 다양한 식품 음식 선택에 조금이나마 도움이 되셨으면 좋겠습니다. 별점으로 개인적인 평가도 내리는데; 주관적이고 개인적인 취향의 평가이니 참고만 하시길 바라겠습니다. ★★★★★ 강력추천 ★★★★☆ 괜찮고; 재구매 의사 있음 ★★★☆☆ 괜찮지만; 재구매 의사는 없음 ★★☆☆☆ 별로 ★☆☆☆☆ 아주 마음에 안듬MCN단비스 Food104000FalseKR단비스푸드 단비스Food 단비스 먹방 연서 먹방LkyHe0ETGzs
9https://www.youtube.com/channel/UCWMK0idJDBqwpueUiEXStCQ2020-10-012014-12-16https://yt3.ggpht.com/a/AATXAJwHovOwoydz1W7dE-6nOs_jGgAwZN-C0OKzs5yP3A=s88-c-k-c0xffffffff-no-rj-mo전역....MCN저펄이116000FalseKR저스트펄슨 저펄 게리모드 Gmod JustPerson Garry's Mod 울산큰고래MNusWQQvj4g
CHNNL_CHNNL_PATHCHNNL_COLCT_DECHNNL_CHNNL_CREAT_DECHNNL_ICONCHNNL_CHNNL_DCCHNNL_CHNNL_CTGRY_NMCHNNL_CHNNL_NMCHNNL_READER_COREADER_CO_CLSDR_ATCHNNL_NATIONCHNNL_CHNNL_KWRD_NMVIDO
19https://www.youtube.com/channel/UC31Gc42xzclOOi5Gp1xIpZw2020-10-012014-02-04https://yt3.ggpht.com/a/AATXAJy-xMI69kqqR2-qkHONHcIfBeopxDI0qIQ0loc0ng=s88-c-k-c0xffffffff-no-rj-mo‘책으로 여는IT세상’을 모토로 IT전문가를 위한 프로그래밍; 컴퓨터공학; IT 에세이; eBook 리얼타임(전자책)과 일반 독자를 위한 IT활용서; 실용서를 출간하고 있습니다.MCN한빛미디어28000FalseKR책 technology IT book programming 개발자 프로그래머 programmer techBptbmwLHXjU
20https://www.youtube.com/channel/UCem8l1w4OWhkqpoOg1SB4_w2020-10-012014-05-19https://yt3.ggpht.com/a/AATXAJw0He0hwD7ClxvV87A3O2OecEQsqJh738DpeEh9tA=s88-c-k-c0xffffffff-no-rj-mo걍 구독한번하고 영상 하나만보세요 오늘 제 영상 다봅니다 마약같은 재넌 유튜브 구독하면 개이득이??! 알리미 설정 꼭하삼 5분이하면 슬픈 재넌영상 10분이상은 컨텐츠 노잼영상MCN재넌Jaenune1210000FalseKR재넌 작비 공대생 꽈뚜룹 참교육 투보 악녀 먹방 몰카 몰래카메라 웃긴영상 웃음 개그 보물섬 보따 송대익 조재원 김유이bIl0x4c_g0o
21https://www.youtube.com/channel/UCIIpmDPVk7nzNHEUSHmvkUg2020-10-012014-02-26https://yt3.ggpht.com/a/AATXAJx0xZocCOd9Pb2NZynOPiy8jQH-YJt8nbtnDSjBqQ=s88-c-k-c0xffffffff-no-rj-mo매일 오후 5시 40분; 채널A '뉴스TOP10' 공식 유튜브TV채널A 뉴스TOP10650000False<NA>채널에이 채널A 뉴스탑텐 뉴스TOP10 뉴스 사회 정치 시사 스포츠 김승련앵커 앵커 김승련 박종진 쾌도난마 대담vkD1WNqx_Eg
22https://www.youtube.com/channel/UCTZPZo3xuW5k6RkhlVaJ0jQ2020-10-012014-07-31https://yt3.ggpht.com/a/AATXAJyJ2O3tJ0OnQBX3UXPBIqU9o6DJh2T-8KzdhT2WdA=s88-c-k-c0xffffffff-no-rj-mo안녕하세요. 조용한돌아이 김뚜띠의 유튜브 채널입니다 매일 업로드됩니다! 좋아요 구독버튼눌러주세요!MCN김뚜띠217000False<NA><NA>N3bIiCHTOZ4
23https://www.youtube.com/channel/UC7bcRlidTERRb_MKRHPVSnw2020-10-012014-10-30https://yt3.ggpht.com/a/AATXAJyiGtQP-egi9f63PwnglX2F3iOfkHENglbCBPxSlA=s88-c-k-c0xffffffff-no-rj-mo세상의 모든걸 대신 공략해주는 남자 푸린입니다^ㅁ^ 개인메일:kmb1000@naver.com 광고문의:biz@pixelnetwork.co.kr ▷ 생방송 https:www.twitch.tvrngudwnswkd ▷ 인스타그램 https:www.instagram.compurin_26MCN푸린351000FalseKR고인물 공략 공포게임 SPEED RUN 공포CqGiAIoOFSw
24https://www.youtube.com/channel/UCfnSBW9u_I1ZKtT86zjLewg2020-10-012011-12-19https://yt3.ggpht.com/a/AATXAJwm2IW701x-L_UdwnqS1hNenm1sUjpnR47m_5A2Iw=s88-c-k-c0xffffffff-no-rj-moTAKTAK1893;JDCR;SAINT;JEONDDING의 철권관련 유투브 채널입니다.MCNBattleFinger30300FalseKRTEKKEN. taktak1893. 탁탁1893. 철권. 鐵拳4yI2jDT__Yk
25https://www.youtube.com/channel/UC2tGWq3BCZUDAgNh965yM-A2020-10-012013-08-19https://yt3.ggpht.com/a/AATXAJwzAaM82WEhkouZH9F6kvRFxL2UxL-AbKHik7YygQ=s88-c-k-c0xffffffff-no-rj-mo철권 관련 영상 채널입니다.MCN파쇄축5840FalseKR파쇄축 TEKKEN 철권 풍신류 9RKLK vkthocnr-0SMWnUnRgc
26https://www.youtube.com/channel/UCfiCVvy-jRTQH1EpPPntpfw2020-10-012013-05-27https://yt3.ggpht.com/a/AATXAJyWHsB0Moro9Cow13P0deJMOBC13FNOZFNqU71Cqg=s88-c-k-c0xffffffff-no-rj-mo즐거움과 감동이 넘치는 건강한 콘텐츠를 통해 보다 풍요로운 내일을 만들어 가는 No.1 미디어그룹 berrymedia.co.krMCNBerryTV259000FalseKRGTV DreamTV CookTV 생활체육TV 베리미디어 베리TV<NA>
27https://www.youtube.com/channel/UCQreDC73rqiw1wSc_ZYwgHA2020-10-012013-06-13https://yt3.ggpht.com/a/AATXAJwA1KFeI0Fw5GqroiBl58OwytwaWME5KOMlIg-mqg=s88-c-k-c0xffffffff-no-rj-mo한국 마인크래프트 괴담; 정보 전문 유튜버 블루위키!! 구독과 좋아요 감사합니다!MCNTV블루위키222000FalseKR<NA>tkWrv4MSuWw
28https://www.youtube.com/channel/UC5XuQ-xiWAB6f-qu6gJMDBQ2020-10-012017-02-07https://yt3.ggpht.com/a/AATXAJwG2vl8KxkTKPCHEYd2xtiwLoh7V66CPk37RVAWqA=s88-c-k-c0xffffffff-no-rj-mo옥탑에서 요리&먹방을 진행하는 [흥삼]입니다. 부족한 요리실력으로 뭐든 만들어 먹는 쿡방!! 야외 맛집탐방 & 대용량 도전먹방까지~ 생방시간 : 오후 7-8시 사이 시작~ 처음 오신 분들은 [구독]한번 눌러주세요~ Cook & Mukbang in Rooftop House 유튜브 주소 : https:goo.glHDUpsAMCN흥삼1490000FalseKR<NA>r9R7OXQG39A