Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells17
Missing cells (%)5.7%
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/e1b7f207-d85f-4fb8-83af-0a7a4d4b7700

Alerts

채널수집일자 has constant value ""Constant
구독자수비공개정보 has constant value ""Constant
채널구독자수 is highly overall correlated with 채널채널범주명High correlation
채널채널범주명 is highly overall correlated with 채널구독자수High correlation
채널채널설명 has 4 (16.0%) missing valuesMissing
채널채널키워드명 has 4 (16.0%) missing valuesMissing
영상 has 9 (36.0%) missing valuesMissing
채널채널경로명 has unique valuesUnique
채널채널생성일자 has unique valuesUnique
채널아이콘 has unique valuesUnique
채널채널명 has unique valuesUnique
채널구독자수 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:54:04.926052
Analysis finished2023-12-10 13:54:07.396627
Duration2.47 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
2023-12-10T22:54:07.703124image/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/UCfc8AqvX3u01_Y0Ot4r41zQ
2nd rowhttps://www.youtube.com/channel/UC1EjtvDflBROblEaM1nMPWw
3rd rowhttps://www.youtube.com/channel/UC70u2e8gK14R7QfFs7ehNDw
4th rowhttps://www.youtube.com/channel/UChtdyqmH0yVFWTBJERP2PKg
5th rowhttps://www.youtube.com/channel/UCzAMp7mTFX7j3ip4gLMSllw
ValueCountFrequency (%)
https://www.youtube.com/channel/ucfc8aqvx3u01_y0ot4r41zq 1
 
4.0%
https://www.youtube.com/channel/uc_fflouu8nzaz0g7jle1dqa 1
 
4.0%
https://www.youtube.com/channel/uczvlhh2vbvzpmjvxaroeomq 1
 
4.0%
https://www.youtube.com/channel/ucyc_lkrpkd56emytrpu4kxa 1
 
4.0%
https://www.youtube.com/channel/ucejqvi_eiwuwjpxnpld-lfg 1
 
4.0%
https://www.youtube.com/channel/uchul8ckzq0sgwjwz0rm4ohq 1
 
4.0%
https://www.youtube.com/channel/uchqmfcyzrbpvqgnpw7jmajg 1
 
4.0%
https://www.youtube.com/channel/uccqtri69dsvyhn3exeptz1a 1
 
4.0%
https://www.youtube.com/channel/ucbqaq8v32ggyaz9agyw3rya 1
 
4.0%
https://www.youtube.com/channel/ucctub5brtkwpblr6m26owdq 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T22:54:08.323007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 100
 
7.1%
t 85
 
6.1%
w 84
 
6.0%
e 61
 
4.4%
u 60
 
4.3%
c 60
 
4.3%
h 56
 
4.0%
n 55
 
3.9%
o 55
 
3.9%
. 50
 
3.6%
Other values (57) 734
52.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 835
59.6%
Uppercase Letter 289
 
20.6%
Other Punctuation 175
 
12.5%
Decimal Number 90
 
6.4%
Connector Punctuation 8
 
0.6%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 85
 
10.2%
w 84
 
10.1%
e 61
 
7.3%
u 60
 
7.2%
c 60
 
7.2%
h 56
 
6.7%
n 55
 
6.6%
o 55
 
6.6%
l 36
 
4.3%
y 35
 
4.2%
Other values (16) 248
29.7%
Uppercase Letter
ValueCountFrequency (%)
U 31
 
10.7%
C 29
 
10.0%
W 15
 
5.2%
A 14
 
4.8%
L 14
 
4.8%
P 14
 
4.8%
Q 13
 
4.5%
Z 12
 
4.2%
K 12
 
4.2%
G 12
 
4.2%
Other values (16) 123
42.6%
Decimal Number
ValueCountFrequency (%)
1 12
13.3%
7 12
13.3%
2 11
12.2%
0 11
12.2%
3 11
12.2%
8 10
11.1%
4 8
8.9%
6 7
7.8%
9 4
 
4.4%
5 4
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 100
57.1%
. 50
28.6%
: 25
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1124
80.3%
Common 276
 
19.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 85
 
7.6%
w 84
 
7.5%
e 61
 
5.4%
u 60
 
5.3%
c 60
 
5.3%
h 56
 
5.0%
n 55
 
4.9%
o 55
 
4.9%
l 36
 
3.2%
y 35
 
3.1%
Other values (42) 537
47.8%
Common
ValueCountFrequency (%)
/ 100
36.2%
. 50
18.1%
: 25
 
9.1%
1 12
 
4.3%
7 12
 
4.3%
2 11
 
4.0%
0 11
 
4.0%
3 11
 
4.0%
8 10
 
3.6%
4 8
 
2.9%
Other values (5) 26
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 100
 
7.1%
t 85
 
6.1%
w 84
 
6.0%
e 61
 
4.4%
u 60
 
4.3%
c 60
 
4.3%
h 56
 
4.0%
n 55
 
3.9%
o 55
 
3.9%
. 50
 
3.6%
Other values (57) 734
52.4%

채널수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2021-05-01
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-05-01
2nd row2021-05-01
3rd row2021-05-01
4th row2021-05-01
5th row2021-05-01

Common Values

ValueCountFrequency (%)
2021-05-01 25
100.0%

Length

2023-12-10T22:54:08.522565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:08.659832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-05-01 25
100.0%

채널채널생성일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2009-06-04 00:00:00
Maximum2019-08-28 00:00:00
2023-12-10T22:54:08.750365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:08.883924image/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
2023-12-10T22:54:09.252922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length98
Mean length97.76
Min length96

Characters and Unicode

Total characters2444
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/ytc/AAUvwniVsPozIJhnXtIHbYu0Gk-NSaZ3qYxLA4xbjHbpfg=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnj5zH2ZTSgQy6XwdVYuYxFY-uLPkkMwoqOFqFH5xQ=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnh9AioZu9prkgFHFDUTtpLwNptF5qOE1AUYkNno2A=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwnjBER8y1sx8nYxaVIAy04ylys3NadOrS9hVxO1Q=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnh8iMydQby1uR5JkzbBS2-Qk7fh2ymV0YS-pgY2VQ=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwnivspozijhnxtihbyu0gk-nsaz3qyxla4xbjhbpfg=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwniwza8vp3ynrs15aqp_ijjpsvtjrpkkdrmbxgxj=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnj2fjydiyqrmnvw_w31ns5wlvuzjvwfeaaevnb07q=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnhmq-yeczlpo-xbtvoltqid8r64kycurislhycfua=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnjfousqljrr2_oih9e42yxin_thpzephatvexcjna=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnhkfkn7wgehnpocij4rsn0tvvjdrgmnwgnplmcc3a=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnj5obfei9u8wgyby4hlxgd59mudzji4o-ylxiycqw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnipqsokswjskclvcydpvjmzipeya4kt3azkcgsafa=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnjvd-tqd71udt-coir30e9s60aedv5xnxbdof8sva=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnhire79wliluxcyhqivvigcxjacy7o1sdt3t4wy=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T22:54:10.025179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 163
 
6.7%
t 141
 
5.8%
- 140
 
5.7%
c 115
 
4.7%
/ 100
 
4.1%
0 90
 
3.7%
y 77
 
3.2%
g 72
 
2.9%
h 71
 
2.9%
A 70
 
2.9%
Other values (58) 1405
57.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1328
54.3%
Uppercase Letter 476
 
19.5%
Decimal Number 291
 
11.9%
Other Punctuation 175
 
7.2%
Dash Punctuation 140
 
5.7%
Math Symbol 25
 
1.0%
Connector Punctuation 9
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 163
 
12.3%
t 141
 
10.6%
c 115
 
8.7%
y 77
 
5.8%
g 72
 
5.4%
h 71
 
5.3%
o 67
 
5.0%
p 67
 
5.0%
n 66
 
5.0%
s 64
 
4.8%
Other values (16) 425
32.0%
Uppercase Letter
ValueCountFrequency (%)
A 70
 
14.7%
U 38
 
8.0%
V 27
 
5.7%
O 23
 
4.8%
Y 21
 
4.4%
I 21
 
4.4%
H 19
 
4.0%
L 19
 
4.0%
Q 19
 
4.0%
F 17
 
3.6%
Other values (16) 202
42.4%
Decimal Number
ValueCountFrequency (%)
0 90
30.9%
8 65
22.3%
3 43
14.8%
9 16
 
5.5%
1 15
 
5.2%
4 15
 
5.2%
2 14
 
4.8%
5 14
 
4.8%
7 10
 
3.4%
6 9
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 100
57.1%
. 50
28.6%
: 25
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1804
73.8%
Common 640
 
26.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 163
 
9.0%
t 141
 
7.8%
c 115
 
6.4%
y 77
 
4.3%
g 72
 
4.0%
h 71
 
3.9%
A 70
 
3.9%
o 67
 
3.7%
p 67
 
3.7%
n 66
 
3.7%
Other values (42) 895
49.6%
Common
ValueCountFrequency (%)
- 140
21.9%
/ 100
15.6%
0 90
14.1%
8 65
10.2%
. 50
 
7.8%
3 43
 
6.7%
= 25
 
3.9%
: 25
 
3.9%
9 16
 
2.5%
1 15
 
2.3%
Other values (6) 71
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 163
 
6.7%
t 141
 
5.8%
- 140
 
5.7%
c 115
 
4.7%
/ 100
 
4.1%
0 90
 
3.7%
y 77
 
3.2%
g 72
 
2.9%
h 71
 
2.9%
A 70
 
2.9%
Other values (58) 1405
57.5%

채널채널설명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing4
Missing (%)16.0%
Memory size332.0 B
2023-12-10T22:54:10.415228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length958
Median length84
Mean length173.09524
Min length16

Characters and Unicode

Total characters3635
Distinct characters322
Distinct categories12 ?
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 rowLet's discuss and review the latest K-Pop releases and how they fit into the current trends. I upload Daily MV ReactionReviews along with Album Reviews and discussion of the latest News Join the community and let's discuss everything relating to K-Pop!
2nd row안녕하세요 덕대필름은 vfx효과들을 사용한 영상들과 리뷰영상 등 다양한 재미있는 영상들을 만들고 있습니다 감사합니다 Thank you for watching this channel
3rd row말괄량이의 희귀애완동물 채널!! Tarantula Shrimp fish
4th row취미 방송인입니다. 주로 FPS나 밀리터리류 게임을 선호하며 대충 방송하는 것을 좋아합니다.
5th row부산의 미래; 명품도시 강서 부산광역시 강서구청 공식 유튜브 채널입니다 :)
ValueCountFrequency (%)
29
 
5.2%
and 9
 
1.6%
공식 6
 
1.1%
the 6
 
1.1%
channel 5
 
0.9%
to 5
 
0.9%
this 4
 
0.7%
daily 4
 
0.7%
a 3
 
0.5%
sony 3
 
0.5%
Other values (410) 479
86.6%
2023-12-10T22:54:11.129666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
585
 
16.1%
t 160
 
4.4%
e 143
 
3.9%
o 142
 
3.9%
a 131
 
3.6%
n 124
 
3.4%
i 118
 
3.2%
r 103
 
2.8%
s 93
 
2.6%
c 83
 
2.3%
Other values (312) 1953
53.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1607
44.2%
Other Letter 722
19.9%
Space Separator 585
 
16.1%
Uppercase Letter 318
 
8.7%
Other Punctuation 168
 
4.6%
Decimal Number 98
 
2.7%
Close Punctuation 38
 
1.0%
Open Punctuation 35
 
1.0%
Math Symbol 30
 
0.8%
Dash Punctuation 25
 
0.7%
Other values (2) 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 23
 
3.2%
다 18
 
2.5%
니 18
 
2.5%
로 12
 
1.7%
을 12
 
1.7%
스 12
 
1.7%
영 10
 
1.4%
구 10
 
1.4%
는 10
 
1.4%
들 9
 
1.2%
Other values (233) 588
81.4%
Lowercase Letter
ValueCountFrequency (%)
t 160
 
10.0%
e 143
 
8.9%
o 142
 
8.8%
a 131
 
8.2%
n 124
 
7.7%
i 118
 
7.3%
r 103
 
6.4%
s 93
 
5.8%
c 83
 
5.2%
h 70
 
4.4%
Other values (16) 440
27.4%
Uppercase Letter
ValueCountFrequency (%)
E 30
 
9.4%
I 27
 
8.5%
M 26
 
8.2%
A 22
 
6.9%
S 20
 
6.3%
C 19
 
6.0%
P 17
 
5.3%
O 16
 
5.0%
L 15
 
4.7%
D 15
 
4.7%
Other values (15) 111
34.9%
Decimal Number
ValueCountFrequency (%)
1 28
28.6%
2 17
17.3%
0 15
15.3%
8 9
 
9.2%
4 7
 
7.1%
6 6
 
6.1%
5 6
 
6.1%
9 4
 
4.1%
3 3
 
3.1%
7 3
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 67
39.9%
: 41
24.4%
; 28
16.7%
! 10
 
6.0%
* 9
 
5.4%
@ 7
 
4.2%
& 3
 
1.8%
' 3
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 31
81.6%
] 7
 
18.4%
Open Punctuation
ValueCountFrequency (%)
( 28
80.0%
[ 7
 
20.0%
Math Symbol
ValueCountFrequency (%)
= 28
93.3%
~ 2
 
6.7%
Space Separator
ValueCountFrequency (%)
585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1925
53.0%
Common 988
27.2%
Hangul 721
 
19.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 23
 
3.2%
다 18
 
2.5%
니 18
 
2.5%
로 12
 
1.7%
을 12
 
1.7%
스 12
 
1.7%
영 10
 
1.4%
구 10
 
1.4%
는 10
 
1.4%
들 9
 
1.2%
Other values (232) 587
81.4%
Latin
ValueCountFrequency (%)
t 160
 
8.3%
e 143
 
7.4%
o 142
 
7.4%
a 131
 
6.8%
n 124
 
6.4%
i 118
 
6.1%
r 103
 
5.4%
s 93
 
4.8%
c 83
 
4.3%
h 70
 
3.6%
Other values (41) 758
39.4%
Common
ValueCountFrequency (%)
585
59.2%
. 67
 
6.8%
: 41
 
4.1%
) 31
 
3.1%
1 28
 
2.8%
( 28
 
2.8%
= 28
 
2.8%
; 28
 
2.8%
- 25
 
2.5%
2 17
 
1.7%
Other values (18) 110
 
11.1%
Han
ValueCountFrequency (%)
里 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2913
80.1%
Hangul 721
 
19.8%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
585
20.1%
t 160
 
5.5%
e 143
 
4.9%
o 142
 
4.9%
a 131
 
4.5%
n 124
 
4.3%
i 118
 
4.1%
r 103
 
3.5%
s 93
 
3.2%
c 83
 
2.8%
Other values (69) 1231
42.3%
Hangul
ValueCountFrequency (%)
이 23
 
3.2%
다 18
 
2.5%
니 18
 
2.5%
로 12
 
1.7%
을 12
 
1.7%
스 12
 
1.7%
영 10
 
1.4%
구 10
 
1.4%
는 10
 
1.4%
들 9
 
1.2%
Other values (232) 587
81.4%
CJK
ValueCountFrequency (%)
里 1
100.0%

채널채널범주명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
MCN
19 
공공기관
4 
TV
2 

Length

Max length4
Median length3
Mean length3.08
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MCN 19
76.0%
공공기관 4
 
16.0%
TV 2
 
8.0%

Length

2023-12-10T22:54:11.543950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:11.878379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 19
76.0%
공공기관 4
 
16.0%
tv 2
 
8.0%

채널채널명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T22:54:12.274197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.72
Min length3

Characters and Unicode

Total characters218
Distinct characters128
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowROK Music Review
2nd row덕대-DD film
3rd rowMBC WORLD
4th row겜스트GAMEST
5th row말괄량이
ValueCountFrequency (%)
rok 1
 
2.3%
인테리어 1
 
2.3%
keri]한국전기연구원 1
 
2.3%
빈팍 1
 
2.3%
bin 1
 
2.3%
park 1
 
2.3%
jucy(쥬씨 1
 
2.3%
kbs 1
 
2.3%
news 1
 
2.3%
nunreacts 1
 
2.3%
Other values (33) 33
76.7%
2023-12-10T22:54:13.134171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
8.3%
R 7
 
3.2%
O 6
 
2.8%
N 5
 
2.3%
i 5
 
2.3%
e 4
 
1.8%
B 4
 
1.8%
D 4
 
1.8%
E 4
 
1.8%
s 4
 
1.8%
Other values (118) 157
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
43.1%
Uppercase Letter 59
27.1%
Lowercase Letter 40
18.3%
Space Separator 18
 
8.3%
Open Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%
Other Punctuation 2
 
0.9%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3
 
3.2%
구 3
 
3.2%
디 2
 
2.1%
산 2
 
2.1%
부 2
 
2.1%
이 2
 
2.1%
원 2
 
2.1%
국 2
 
2.1%
한 2
 
2.1%
대 2
 
2.1%
Other values (71) 72
76.6%
Uppercase Letter
ValueCountFrequency (%)
R 7
11.9%
O 6
 
10.2%
N 5
 
8.5%
B 4
 
6.8%
D 4
 
6.8%
E 4
 
6.8%
K 4
 
6.8%
A 3
 
5.1%
M 3
 
5.1%
J 2
 
3.4%
Other values (11) 17
28.8%
Lowercase Letter
ValueCountFrequency (%)
i 5
12.5%
e 4
10.0%
s 4
10.0%
c 3
 
7.5%
t 3
 
7.5%
n 3
 
7.5%
u 3
 
7.5%
a 2
 
5.0%
v 2
 
5.0%
w 2
 
5.0%
Other values (8) 9
22.5%
Open Punctuation
ValueCountFrequency (%)
[ 1
50.0%
( 1
50.0%
Close Punctuation
ValueCountFrequency (%)
] 1
50.0%
) 1
50.0%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
! 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 99
45.4%
Hangul 94
43.1%
Common 25
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3
 
3.2%
구 3
 
3.2%
디 2
 
2.1%
산 2
 
2.1%
부 2
 
2.1%
이 2
 
2.1%
원 2
 
2.1%
국 2
 
2.1%
한 2
 
2.1%
대 2
 
2.1%
Other values (71) 72
76.6%
Latin
ValueCountFrequency (%)
R 7
 
7.1%
O 6
 
6.1%
N 5
 
5.1%
i 5
 
5.1%
e 4
 
4.0%
B 4
 
4.0%
D 4
 
4.0%
E 4
 
4.0%
s 4
 
4.0%
K 4
 
4.0%
Other values (29) 52
52.5%
Common
ValueCountFrequency (%)
18
72.0%
[ 1
 
4.0%
( 1
 
4.0%
] 1
 
4.0%
) 1
 
4.0%
; 1
 
4.0%
- 1
 
4.0%
! 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
56.9%
Hangul 94
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
 
14.5%
R 7
 
5.6%
O 6
 
4.8%
N 5
 
4.0%
i 5
 
4.0%
e 4
 
3.2%
B 4
 
3.2%
D 4
 
3.2%
E 4
 
3.2%
s 4
 
3.2%
Other values (37) 63
50.8%
Hangul
ValueCountFrequency (%)
리 3
 
3.2%
구 3
 
3.2%
디 2
 
2.1%
산 2
 
2.1%
부 2
 
2.1%
이 2
 
2.1%
원 2
 
2.1%
국 2
 
2.1%
한 2
 
2.1%
대 2
 
2.1%
Other values (71) 72
76.6%

채널구독자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322376.76
Minimum56
Maximum1550000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T22:54:13.340221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile237.2
Q116500
median169000
Q3408000
95-th percentile1358000
Maximum1550000
Range1549944
Interquartile range (IQR)391500

Descriptive statistics

Standard deviation445749.9
Coefficient of variation (CV)1.3826986
Kurtosis2.4257763
Mean322376.76
Median Absolute Deviation (MAD)167330
Skewness1.7937683
Sum8059419
Variance1.9869298 × 1011
MonotonicityNot monotonic
2023-12-10T22:54:13.583361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16500 1
 
4.0%
1550000 1
 
4.0%
17900 1
 
4.0%
144000 1
 
4.0%
169000 1
 
4.0%
1670 1
 
4.0%
210000 1
 
4.0%
408000 1
 
4.0%
1190000 1
 
4.0%
339000 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
56 1
4.0%
131 1
4.0%
662 1
4.0%
850 1
4.0%
1670 1
4.0%
2350 1
4.0%
16500 1
4.0%
17900 1
4.0%
37700 1
4.0%
70600 1
4.0%
ValueCountFrequency (%)
1550000 1
4.0%
1400000 1
4.0%
1190000 1
4.0%
703000 1
4.0%
544000 1
4.0%
521000 1
4.0%
408000 1
4.0%
339000 1
4.0%
229000 1
4.0%
228000 1
4.0%

구독자수비공개정보
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
25 
ValueCountFrequency (%)
False 25
100.0%
2023-12-10T22:54:14.369737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
KR
16 
<NA>
6 
US
 
1
HK
 
1
CA
 
1

Length

Max length4
Median length2
Mean length2.48
Min length2

Unique

Unique3 ?
Unique (%)12.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 16
64.0%
<NA> 6
 
24.0%
US 1
 
4.0%
HK 1
 
4.0%
CA 1
 
4.0%

Length

2023-12-10T22:54:14.646367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:54:14.971270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 16
64.0%
na 6
 
24.0%
us 1
 
4.0%
hk 1
 
4.0%
ca 1
 
4.0%

채널채널키워드명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing4
Missing (%)16.0%
Memory size332.0 B
2023-12-10T22:54:15.400613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length174
Median length49
Mean length57
Min length2

Characters and Unicode

Total characters1197
Distinct characters223
Distinct categories6 ?
Distinct scripts5 ?
Distinct blocks4 ?
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 rowkpop mv reaction music video k-pop korea south news album review best of songs mw
2nd rowSurprise Egg Play Doh Peppa Kinder
3rd rowM드로메다 엠드로메다 돈플릭스 정형돈 서프라이즈 신비한 TV 서프라이즈 kpop BTS IDOL 무한도전 무도
4th rowtarantula centipede spider scorpion 거미 타란튤라 지네 전갈
5th row종합게임 빅헤드 트위치 레인보우식스 오버워치 배틀그라운드 발로란트 FPS 최필립 콜오브듀티
ValueCountFrequency (%)
뉴스 5
 
2.1%
news 5
 
2.1%
kpop 4
 
1.7%
korea 4
 
1.7%
오영주 4
 
1.7%
인테리어 4
 
1.7%
kbs 3
 
1.3%
브이로그 3
 
1.3%
piano 2
 
0.9%
korean 2
 
0.9%
Other values (184) 199
84.7%
2023-12-10T22:54:16.189868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
17.9%
o 51
 
4.3%
e 47
 
3.9%
r 38
 
3.2%
a 30
 
2.5%
i 28
 
2.3%
n 28
 
2.3%
s 27
 
2.3%
p 25
 
2.1%
스 21
 
1.8%
Other values (213) 688
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
40.7%
Lowercase Letter 431
36.0%
Space Separator 214
17.9%
Uppercase Letter 54
 
4.5%
Decimal Number 8
 
0.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 21
 
4.3%
인 13
 
2.7%
이 12
 
2.5%
정 11
 
2.3%
뉴 11
 
2.3%
리 10
 
2.1%
노 10
 
2.1%
로 8
 
1.6%
자 7
 
1.4%
한 7
 
1.4%
Other values (166) 377
77.4%
Lowercase Letter
ValueCountFrequency (%)
o 51
11.8%
e 47
 
10.9%
r 38
 
8.8%
a 30
 
7.0%
i 28
 
6.5%
n 28
 
6.5%
s 27
 
6.3%
p 25
 
5.8%
k 20
 
4.6%
t 19
 
4.4%
Other values (12) 118
27.4%
Uppercase Letter
ValueCountFrequency (%)
K 7
13.0%
S 5
 
9.3%
B 5
 
9.3%
P 4
 
7.4%
I 4
 
7.4%
E 4
 
7.4%
T 4
 
7.4%
D 4
 
7.4%
N 2
 
3.7%
M 2
 
3.7%
Other values (8) 13
24.1%
Decimal Number
ValueCountFrequency (%)
9 3
37.5%
7 2
25.0%
3 1
 
12.5%
6 1
 
12.5%
5 1
 
12.5%
Space Separator
ValueCountFrequency (%)
214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 485
40.5%
Hangul 475
39.7%
Common 225
18.8%
Han 6
 
0.5%
Katakana 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 21
 
4.4%
인 13
 
2.7%
이 12
 
2.5%
정 11
 
2.3%
뉴 11
 
2.3%
리 10
 
2.1%
노 10
 
2.1%
로 8
 
1.7%
자 7
 
1.5%
한 7
 
1.5%
Other values (154) 365
76.8%
Latin
ValueCountFrequency (%)
o 51
 
10.5%
e 47
 
9.7%
r 38
 
7.8%
a 30
 
6.2%
i 28
 
5.8%
n 28
 
5.8%
s 27
 
5.6%
p 25
 
5.2%
k 20
 
4.1%
t 19
 
3.9%
Other values (30) 172
35.5%
Common
ValueCountFrequency (%)
214
95.1%
9 3
 
1.3%
- 3
 
1.3%
7 2
 
0.9%
3 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
Han
ValueCountFrequency (%)
團 1
16.7%
舞 1
16.7%
港 1
16.7%
香 1
16.7%
上 1
16.7%
路 1
16.7%
Katakana
ValueCountFrequency (%)
ノ 1
16.7%
ア 1
16.7%
ピ 1
16.7%
ブ 1
16.7%
イ 1
16.7%
ラ 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 710
59.3%
Hangul 475
39.7%
CJK 6
 
0.5%
Katakana 6
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
30.1%
o 51
 
7.2%
e 47
 
6.6%
r 38
 
5.4%
a 30
 
4.2%
i 28
 
3.9%
n 28
 
3.9%
s 27
 
3.8%
p 25
 
3.5%
k 20
 
2.8%
Other values (37) 202
28.5%
Hangul
ValueCountFrequency (%)
스 21
 
4.4%
인 13
 
2.7%
이 12
 
2.5%
정 11
 
2.3%
뉴 11
 
2.3%
리 10
 
2.1%
노 10
 
2.1%
로 8
 
1.7%
자 7
 
1.5%
한 7
 
1.5%
Other values (154) 365
76.8%
CJK
ValueCountFrequency (%)
團 1
16.7%
舞 1
16.7%
港 1
16.7%
香 1
16.7%
上 1
16.7%
路 1
16.7%
Katakana
ValueCountFrequency (%)
ノ 1
16.7%
ア 1
16.7%
ピ 1
16.7%
ブ 1
16.7%
イ 1
16.7%
ラ 1
16.7%

영상
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing9
Missing (%)36.0%
Memory size332.0 B
2023-12-10T22:54:16.532473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters176
Distinct characters61
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

Unique16 ?
Unique (%)100.0%

Sample

1st rowHar5c1_T2Jo
2nd rowfZZRegZQlHI
3rd rowm3L9uy-pcS0
4th rowUPqyb3QtGFg
5th rowCgiiUu23Is0
ValueCountFrequency (%)
u42qejrap0k 1
 
6.2%
m3l9uy-pcs0 1
 
6.2%
upqyb3qtgfg 1
 
6.2%
cgiiuu23is0 1
 
6.2%
vm5f8fj_3a4 1
 
6.2%
wyrhxq5t-ko 1
 
6.2%
fzzregzqlhi 1
 
6.2%
f3e_rkhmxlu 1
 
6.2%
har5c1_t2jo 1
 
6.2%
o6o9njtxyok 1
 
6.2%
Other values (6) 6
37.5%
2023-12-10T22:54:17.161536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
 
3.4%
o 6
 
3.4%
F 6
 
3.4%
3 6
 
3.4%
U 5
 
2.8%
i 5
 
2.8%
y 5
 
2.8%
k 5
 
2.8%
H 5
 
2.8%
p 4
 
2.3%
Other values (51) 123
69.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 69
39.2%
Uppercase Letter 66
37.5%
Decimal Number 36
20.5%
Connector Punctuation 3
 
1.7%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 6
 
9.1%
U 5
 
7.6%
H 5
 
7.6%
E 4
 
6.1%
Z 4
 
6.1%
Y 4
 
6.1%
R 4
 
6.1%
T 4
 
6.1%
A 3
 
4.5%
C 3
 
4.5%
Other values (15) 24
36.4%
Lowercase Letter
ValueCountFrequency (%)
o 6
 
8.7%
i 5
 
7.2%
y 5
 
7.2%
k 5
 
7.2%
p 4
 
5.8%
f 4
 
5.8%
g 4
 
5.8%
x 4
 
5.8%
u 3
 
4.3%
a 3
 
4.3%
Other values (14) 26
37.7%
Decimal Number
ValueCountFrequency (%)
0 6
16.7%
3 6
16.7%
5 4
11.1%
9 4
11.1%
2 4
11.1%
4 3
8.3%
8 3
8.3%
1 2
 
5.6%
7 2
 
5.6%
6 2
 
5.6%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 135
76.7%
Common 41
 
23.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6
 
4.4%
F 6
 
4.4%
U 5
 
3.7%
i 5
 
3.7%
y 5
 
3.7%
k 5
 
3.7%
H 5
 
3.7%
p 4
 
3.0%
f 4
 
3.0%
g 4
 
3.0%
Other values (39) 86
63.7%
Common
ValueCountFrequency (%)
0 6
14.6%
3 6
14.6%
5 4
9.8%
9 4
9.8%
2 4
9.8%
_ 3
7.3%
4 3
7.3%
8 3
7.3%
1 2
 
4.9%
7 2
 
4.9%
Other values (2) 4
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
 
3.4%
o 6
 
3.4%
F 6
 
3.4%
3 6
 
3.4%
U 5
 
2.8%
i 5
 
2.8%
y 5
 
2.8%
k 5
 
2.8%
H 5
 
2.8%
p 4
 
2.3%
Other values (51) 123
69.9%

Interactions

2023-12-10T22:54:06.376171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:54:17.389357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널채널경로명채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수채널국가채널채널키워드명영상
채널채널경로명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널아이콘1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널범주명1.0001.0001.0001.0001.0001.0000.7530.0001.0001.000
채널채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널구독자수1.0001.0001.0001.0000.7531.0001.0000.0001.0001.000
채널국가1.0001.0001.0001.0000.0001.0000.0001.0001.0001.000
채널채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-10T22:54:17.707278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널국가채널채널범주명
채널국가1.0000.000
채널채널범주명0.0001.000
2023-12-10T22:54:17.946384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널구독자수채널채널범주명채널국가
채널구독자수1.0000.6150.000
채널채널범주명0.6151.0000.000
채널국가0.0000.0001.000

Missing values

2023-12-10T22:54:06.733720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:54:07.099045image/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.
2023-12-10T22:54:07.286949image/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/UCfc8AqvX3u01_Y0Ot4r41zQ2021-05-012009-06-04https://yt3.ggpht.com/ytc/AAUvwniVsPozIJhnXtIHbYu0Gk-NSaZ3qYxLA4xbjHbpfg=s88-c-k-c0x00ffffff-no-rjLet's discuss and review the latest K-Pop releases and how they fit into the current trends. I upload Daily MV ReactionReviews along with Album Reviews and discussion of the latest News Join the community and let's discuss everything relating to K-Pop!MCNROK Music Review16500FalseUSkpop mv reaction music video k-pop korea south news album review best of songs mwHar5c1_T2Jo
1https://www.youtube.com/channel/UC1EjtvDflBROblEaM1nMPWw2021-05-012015-04-02https://yt3.ggpht.com/ytc/AAUvwnj5zH2ZTSgQy6XwdVYuYxFY-uLPkkMwoqOFqFH5xQ=s88-c-k-c0x00ffffff-no-rj안녕하세요 덕대필름은 vfx효과들을 사용한 영상들과 리뷰영상 등 다양한 재미있는 영상들을 만들고 있습니다 감사합니다 Thank you for watching this channelMCN덕대-DD film1550000FalseKRSurprise Egg Play Doh Peppa KinderfZZRegZQlHI
2https://www.youtube.com/channel/UC70u2e8gK14R7QfFs7ehNDw2021-05-012016-07-05https://yt3.ggpht.com/ytc/AAUvwnh9AioZu9prkgFHFDUTtpLwNptF5qOE1AUYkNno2A=s88-c-k-c0x00ffffff-no-rj<NA>TVMBC WORLD703000FalseKRM드로메다 엠드로메다 돈플릭스 정형돈 서프라이즈 신비한 TV 서프라이즈 kpop BTS IDOL 무한도전 무도<NA>
3https://www.youtube.com/channel/UChtdyqmH0yVFWTBJERP2PKg2021-05-012019-08-28https://yt3.ggpht.com/ytc/AAUvwnjBER8y1sx8nYxaVIAy04ylys3NadOrS9hVxO1Q=s88-c-k-c0x00ffffff-no-rj<NA>MCN겜스트GAMEST228000False<NA><NA><NA>
4https://www.youtube.com/channel/UCzAMp7mTFX7j3ip4gLMSllw2021-05-012009-07-25https://yt3.ggpht.com/ytc/AAUvwnh8iMydQby1uR5JkzbBS2-Qk7fh2ymV0YS-pgY2VQ=s88-c-k-c0x00ffffff-no-rj말괄량이의 희귀애완동물 채널!! Tarantula Shrimp fishMCN말괄량이56False<NA>tarantula centipede spider scorpion 거미 타란튤라 지네 전갈<NA>
5https://www.youtube.com/channel/UCAJ-meoCh1TrPZ7La3UpPrw2021-05-012014-02-06https://yt3.ggpht.com/ytc/AAUvwngkCyH3m68GnoXp0hNfWeHO8baq4WCeenUaFY6VgA=s88-c-k-c0x00ffffff-no-rj취미 방송인입니다. 주로 FPS나 밀리터리류 게임을 선호하며 대충 방송하는 것을 좋아합니다.MCN빅헤드521000FalseKR종합게임 빅헤드 트위치 레인보우식스 오버워치 배틀그라운드 발로란트 FPS 최필립 콜오브듀티<NA>
6https://www.youtube.com/channel/UCI_OAyoUNWLLZA12W4u0wHw2021-05-012017-09-29https://yt3.ggpht.com/ytc/AAUvwnjJ0exf3NHs9oZI3qVPTG7V3b33b-Gzyn1TwhPd=s88-c-k-c0x00ffffff-no-rj부산의 미래; 명품도시 강서 부산광역시 강서구청 공식 유튜브 채널입니다 :)공공기관부산광역시 강서구131False<NA><NA><NA>
7https://www.youtube.com/channel/UCLLGccON9y08RB7xqusu_Ww2021-05-012012-03-08https://yt3.ggpht.com/ytc/AAUvwnjhOmDyxKlwYIyldBe8ighoLXjKI-xv5LoKuWl22w=s88-c-k-c0x00ffffff-no-rj마인크래프트 모드 를 재미있게 소개하고 탈출맵 제작을 하고있는 바위골렘입니다.MCN바위골렘229000False<NA>마인크래프트 모드m3L9uy-pcS0
8https://www.youtube.com/channel/UCFsSyiKOtZD7YNt8uXHRlzg2021-05-012017-09-07https://yt3.ggpht.com/ytc/AAUvwnibwfrxGReDKlhNe46ny_R7pogjJpLLfUeMZUMAlu8=s88-c-k-c0x00ffffff-no-rj저의 소소한 일상을 담은 영상들 입니다. 보시고 좋은 에너지 얻어가시길 바랍니다 :) Instagram: yjoo_ohMCN오영주 OH!YOUNGJOO172000FalseKR오영주 영주 오영주 유튜브 오영주 일상 오영주 브이로그 브이로그 유럽 브이로그 일상 뷰티 vlog 패션 beauty fashion EuropeUPqyb3QtGFg
9https://www.youtube.com/channel/UCcSepD5GRKpskptBW2TSKGg2021-05-012013-07-27https://yt3.ggpht.com/ytc/AAUvwngWVZIXJxf-D3XpV__Gc0aS9c9xDIMSt4edoaIp2w=s88-c-k-c0x00ffffff-no-rj패션 유튜버 짱구대디입니다! 비즈니스 문의 contact_zzang9@naver.comMCN디렉터 짱구대디544000FalseKR패션 fashionCgiiUu23Is0
채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
15https://www.youtube.com/channel/UC-gWrEGYpG2jYfl8A_KIGnQ2021-05-012012-03-07https://yt3.ggpht.com/ytc/AAUvwng3eQFakOIrhDOlJ5oJrBsRy1VKUHcqRgOVVNaTrQ=s88-c-k-c0x00ffffff-no-rj전기전문 정부출연연구기관 한국전기연구원의 공식 유튜브 채널입니다. - 전기기술관련 연구성과 영상 - 주요 행사관련 영상 - 과학문화확산을 위한 다채로운 영상 등이 여러분께 제공되고 있습니다. 많은 관심과 참여 부탁드립니다. ============================ -홈 페 이 지 : http:www.keri.re.kr -네이버BLOG: http:blog.naver.comkeri_on -네이버POST: http:post.naver.comkeri_on -네이버 T V : http:tv.naver.comkeri -페 이 스 북 : http:www.facebook.comkeristory -인스타그램 : http:www.instagram.comkokoma_keri공공기관[KERI]한국전기연구원2350FalseKR한국전기연구원 KERI 기술이전 출연연 과학기술정보통신부 과학 과학기술f3E_RkHMxLU
16https://www.youtube.com/channel/UCctuB5BRtKWPBLr6m26OwdQ2021-05-012018-03-26https://yt3.ggpht.com/ytc/AAUvwnhire79wLILuxcyHqIvVIgCxJACy7o1Sdt3t4Wy=s88-c-k-c0x00ffffff-no-rjFILM MAKER Contact me: parkbin905@gmail.comMCN빈팍 BIN PARK662FalseKRFilm Maker 여행 국내여행 travel<NA>
17https://www.youtube.com/channel/UCbqaq8v32GGyaz9AGyW3ryA2021-05-012015-10-24https://yt3.ggpht.com/ytc/AAUvwnjvd-TqD71udt-CoIr30e9s60AEdv5XNXbDoF8SVA=s88-c-k-c0x00ffffff-no-rj안녕하세요 쥬씨에요^0^ 우리같이 메이크업에 관한 정보를 공유하고 즐겨요^^ This channel is to enjoy and to share information about makeup ; )MCNJUCY(쥬씨)339000FalseKR뷰티o6O9nJTXYok
18https://www.youtube.com/channel/UCcQTRi69dsVYHN3exePtZ1A2021-05-012013-08-06https://yt3.ggpht.com/ytc/AAUvwnipQSOksWJSKcLVcYDpvJMZiPeyA4kt3azKcgsAfA=s88-c-k-c0x00ffffff-no-rj언제; 어디서나 KBS 뉴스TVKBS News1190000FalseKR뉴스 kbs kbs뉴스 kbs news kbs 실시간 korea news 9시뉴스 뉴스9 케비에스 korea news korean news 뉴스광장 뉴스라인 대한민국 뉴스 대한민국 7시 뉴스 9시 뉴스 뉴스7<NA>
19https://www.youtube.com/channel/UChqMfcYZRbpVqgnPW7jMaJg2021-05-012017-08-22https://yt3.ggpht.com/ytc/AAUvwnj5ObFeI9U8wGyBY4hLxGd59MUDzJi4O-YlxiYcqw=s88-c-k-c0x00ffffff-no-rjReactions to Korean Hiphop and R&B! Subscribe for daily entertainment!MCNNunReacts408000FalseCANunreacts Reaction Hiphop K-Hiphop Korean<NA>
20https://www.youtube.com/channel/UCHUL8CKzq0sGWJWZ0rm4oHQ2021-05-012015-03-16https://yt3.ggpht.com/ytc/AAUvwnhKFkn7wGehnpOcIJ4rsn0tvVjdRgmnWgNPLmcc3A=s88-c-k-c0x00ffffff-no-rj인테리어 콘텐츠를 만드는 라이프스타일 크리에이터 나르입니다. This is NAR(naru) from Korea; I'mcreator making lifestyle & interior contents. 패션엔 [팔로우미10] 크루 (2018) 올리브tv [은주의방] (2018) JTBC [헌집새집] 디자이너로 출연 (2016) DINGO 채널 [세상에 나쁜 집은 없다] 1~5편 출연 네이버 인테리어 블로그 [나르 블로그] 운영 중 네이버 1인가구 라이프스타일 카페 [마이로프트] 운영 중 콘텐츠랩 [루머스] 대표MCN인테리어 하는 나르 NAR tv210000FalseKR인테리어 원룸인테리어 roomtour roommakeover diy 셀프인테리어 나르 나르tv 헌집새집 원룸꾸미기 자취방인테리어 자취 housetour 룸스타그램 집스타그램 방스타그램 투룸 인테리어 신혼집 신혼집 인테리어 인테리어 소품 가전 가구 가구 추천 interior room decor home decorKY1DxvS73tY
21https://www.youtube.com/channel/UCejQvi_eIWuWJpxNPLd-lfg2021-05-012013-11-06https://yt3.ggpht.com/ytc/AAUvwnjFOusQljrR2_OiH9E42yxIn_ThPZEPHATVEXCjnA=s88-c-k-c0x00ffffff-no-rj책을 만들고 ; 책을 나누고; 책을 읽는 모든 분을 환영합니다. 한국출판문화산업진흥원 (Publication Industry Promotion Agency of Korea) 54866 전라북도 전주시 덕진구 중동로 63 대표전화 : 063-219-2700 EMAIL : kpipa@kpipa.or.kr *공식 홈페이지 http:www.kpipa.or.krmainmain *공식 페이스북 https:www.facebook.comkpipaorkr *공식 인스타그램 https:www.instagram.comkpipaorkr *공식 트위터 https:twitter.comkpipaorkr공공기관한국출판문화산업진흥원1670False<NA>한국출판문화산업진흥원FevlRdiV9EY
22https://www.youtube.com/channel/UCyc_LKrPkD56emyTrPu4KXA2021-05-012017-11-17https://yt3.ggpht.com/ytc/AAUvwnhmQ-YeczlPO-xBtvOLtqID8R64kyCuriSLHYcfuA=s88-c-k-c0x00ffffff-no-rj냥꼬리(里) 마을에는 사연 있는 고양이들; 이장 자매와 구독자 주민분들이 함께 해요! 냥꼬들 자냐 (오빠) 애교 (언니) 토오끼 (셋째) 보라 (막내 할미집사 집으로 입양) 인스타그램 : 19thfloorcatsMCN냥꼬리169000FalseKR고양이 catvideouf04p9zCpM8
23https://www.youtube.com/channel/UCZVlhH2VbvZPmJvxArOeomQ2021-05-012019-03-14https://yt3.ggpht.com/ytc/AAUvwnj2fJyDiyQrMnvw_W31Ns5WlVuZjVWFeaAevNB07Q=s88-c-k-c0x00ffffff-no-rj<NA>MCN돼람이144000FalseKR크롭 전보람 돼람이 Cr5p 63kg모델yFKEx5dGyoU
24https://www.youtube.com/channel/UCR6ImbvMZW2RSN_JCtadc7Q2021-05-012014-03-21https://yt3.ggpht.com/ytc/AAUvwnhH6oQkZcOtgHRf1l0bkhRJYsVBehnXVO5_ZXBW9Q=s88-c-k-c0x00ffffff-no-rj흙수저에서 사업가로 온라인비지니스에 최적화된 남자 글로벌 셀러 insta : yongjoon.haha email : tnlvkfka@gmail.comMCN자본의 맛;그리고 실행력17900FalseKR<NA>8CsZoaTi76A