Overview

Dataset statistics

Number of variables12
Number of observations27
Missing cells17
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory95.9 B

Variable types

Text6
DateTime2
Categorical2
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/f6b2ac49-c946-4887-8681-dd00ade51816

Alerts

채널수집일자 has constant value ""Constant
구독자수비공개정보 is highly imbalanced (77.1%)Imbalance
채널채널설명 has 3 (11.1%) missing valuesMissing
채널채널키워드명 has 9 (33.3%) missing valuesMissing
영상 has 5 (18.5%) 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 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:50:25.915451
Analysis finished2023-12-10 13:50:28.039158
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널채널경로명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T22:50:28.411071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1512
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UCbLaBiJ4fDETddezqOC6N5g
2nd rowhttps://www.youtube.com/channel/UCmECojbGEIBckSAnWl5h2LQ
3rd rowhttps://www.youtube.com/channel/UCDBf2l0Z4fhutCrlNIek1Tw
4th rowhttps://www.youtube.com/channel/UCnCROjsw47ztuCot13iNDHA
5th rowhttps://www.youtube.com/channel/UCe0sJKFHzmWSgnJ1Q-1z4iQ
ValueCountFrequency (%)
https://www.youtube.com/channel/ucblabij4fdetddezqoc6n5g 1
 
3.7%
https://www.youtube.com/channel/uclkrzsdvg7_rkvhwdwidzoa 1
 
3.7%
https://www.youtube.com/channel/ucghzd4pwb54ahbrun3vdfba 1
 
3.7%
https://www.youtube.com/channel/ucpz4e8bqem-blepsezuessw 1
 
3.7%
https://www.youtube.com/channel/ucqtj7kwsnnsu66ex1ufpfya 1
 
3.7%
https://www.youtube.com/channel/uc5qvdtsry1ekpht3jhw-zpg 1
 
3.7%
https://www.youtube.com/channel/uc3re3ueoe_6vzk85zleuwfa 1
 
3.7%
https://www.youtube.com/channel/ucw7eqximbozm-6dblhiib-g 1
 
3.7%
https://www.youtube.com/channel/uckj8vwpqqqpcwq7oyel-vvw 1
 
3.7%
https://www.youtube.com/channel/ucv5a6csfhfgratihfeeidow 1
 
3.7%
Other values (17) 17
63.0%
2023-12-10T22:50:29.133955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 108
 
7.1%
w 101
 
6.7%
t 89
 
5.9%
e 67
 
4.4%
u 65
 
4.3%
h 64
 
4.2%
o 64
 
4.2%
n 64
 
4.2%
c 59
 
3.9%
. 54
 
3.6%
Other values (57) 777
51.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 919
60.8%
Uppercase Letter 308
 
20.4%
Other Punctuation 189
 
12.5%
Decimal Number 78
 
5.2%
Dash Punctuation 13
 
0.9%
Connector Punctuation 5
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 101
 
11.0%
t 89
 
9.7%
e 67
 
7.3%
u 65
 
7.1%
h 64
 
7.0%
o 64
 
7.0%
n 64
 
7.0%
c 59
 
6.4%
l 38
 
4.1%
b 37
 
4.0%
Other values (16) 271
29.5%
Uppercase Letter
ValueCountFrequency (%)
C 37
 
12.0%
U 35
 
11.4%
Q 17
 
5.5%
Z 15
 
4.9%
E 14
 
4.5%
B 13
 
4.2%
H 13
 
4.2%
S 13
 
4.2%
A 12
 
3.9%
L 10
 
3.2%
Other values (16) 129
41.9%
Decimal Number
ValueCountFrequency (%)
6 11
14.1%
4 10
12.8%
5 9
11.5%
3 8
10.3%
1 8
10.3%
2 8
10.3%
7 7
9.0%
8 7
9.0%
0 5
6.4%
9 5
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 108
57.1%
. 54
28.6%
: 27
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1227
81.2%
Common 285
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 101
 
8.2%
t 89
 
7.3%
e 67
 
5.5%
u 65
 
5.3%
h 64
 
5.2%
o 64
 
5.2%
n 64
 
5.2%
c 59
 
4.8%
l 38
 
3.1%
C 37
 
3.0%
Other values (42) 579
47.2%
Common
ValueCountFrequency (%)
/ 108
37.9%
. 54
18.9%
: 27
 
9.5%
- 13
 
4.6%
6 11
 
3.9%
4 10
 
3.5%
5 9
 
3.2%
3 8
 
2.8%
1 8
 
2.8%
2 8
 
2.8%
Other values (5) 29
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 108
 
7.1%
w 101
 
6.7%
t 89
 
5.9%
e 67
 
4.4%
u 65
 
4.3%
h 64
 
4.2%
o 64
 
4.2%
n 64
 
4.2%
c 59
 
3.9%
. 54
 
3.6%
Other values (57) 777
51.4%

채널수집일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2021-06-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-10T22:50:29.379624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:29.543239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

채널채널생성일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2009-04-12 00:00:00
Maximum2019-07-23 00:00:00
2023-12-10T22:50:29.715193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:29.917643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

채널아이콘
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T22:50:30.476589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length98
Mean length97.851852
Min length95

Characters and Unicode

Total characters2642
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AAUvwng3UVHadGD0IgCdn6s9nxIucLeMhQCS7a0F9ht1gA=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnji9zUqfKVAgUtzBZeDPJha6_P_CAd-9aX1R0GgGQ=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnipFPckeLm0Wt6jZG_hFs5-mT1UsLQHtZn5aRQVHg=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwngHsU2GKusYRhyHARIXgSPwVtJRJNGIkprRysvQ8g=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnizdD8fR3U5789haWrEp5EgYXaMfYo8fWFxtLo=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwng3uvhadgd0igcdn6s9nxiuclemhqcs7a0f9ht1ga=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnhe8au71e9t6e3joxbocixcsrtllzumsv_yubvhrg=s88-c-k-c0x00ffffff-no-rj-mo 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnhninjbjwbuvynpgqfv-xiyrxrpm-l_dmdyehb_gw=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnhou-9epu-w5lki8uccjs7kjveidhshvyr8zopsaa=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnjji0s8ack9fjappxt2zybhzbynw2q55svzq_3i=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwngddpic-cv8gqxx14kms2cq-wwyd7wzyqeoe6zf0a=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnjsi99rnkmwmlx6e0hqerwnz-osyjbwxqnagtv7sq=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnh6emzlp8mx8jppo-04fb_imssdln-29-uwrqrjia=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnjfufblux9ipkjrzshxgs2qfxh97sloy_mmk1xikz0=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwngki0slnpozuiglittvngzjlmxgm6izwoh9emsd=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
Other values (17) 17
63.0%
2023-12-10T22:50:31.280447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 175
 
6.6%
- 159
 
6.0%
t 154
 
5.8%
c 119
 
4.5%
/ 108
 
4.1%
0 99
 
3.7%
g 89
 
3.4%
s 77
 
2.9%
h 76
 
2.9%
A 74
 
2.8%
Other values (58) 1512
57.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1411
53.4%
Uppercase Letter 522
 
19.8%
Decimal Number 322
 
12.2%
Other Punctuation 189
 
7.2%
Dash Punctuation 159
 
6.0%
Math Symbol 27
 
1.0%
Connector Punctuation 12
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 175
 
12.4%
t 154
 
10.9%
c 119
 
8.4%
g 89
 
6.3%
s 77
 
5.5%
h 76
 
5.4%
n 70
 
5.0%
p 70
 
5.0%
o 68
 
4.8%
y 68
 
4.8%
Other values (16) 445
31.5%
Uppercase Letter
ValueCountFrequency (%)
A 74
 
14.2%
U 47
 
9.0%
P 26
 
5.0%
S 25
 
4.8%
I 23
 
4.4%
H 21
 
4.0%
X 20
 
3.8%
L 20
 
3.8%
M 19
 
3.6%
Y 19
 
3.6%
Other values (16) 228
43.7%
Decimal Number
ValueCountFrequency (%)
0 99
30.7%
8 71
22.0%
3 38
 
11.8%
2 24
 
7.5%
1 24
 
7.5%
9 18
 
5.6%
6 15
 
4.7%
5 14
 
4.3%
7 10
 
3.1%
4 9
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 108
57.1%
. 54
28.6%
: 27
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Math Symbol
ValueCountFrequency (%)
= 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1933
73.2%
Common 709
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 175
 
9.1%
t 154
 
8.0%
c 119
 
6.2%
g 89
 
4.6%
s 77
 
4.0%
h 76
 
3.9%
A 74
 
3.8%
n 70
 
3.6%
p 70
 
3.6%
o 68
 
3.5%
Other values (42) 961
49.7%
Common
ValueCountFrequency (%)
- 159
22.4%
/ 108
15.2%
0 99
14.0%
8 71
10.0%
. 54
 
7.6%
3 38
 
5.4%
= 27
 
3.8%
: 27
 
3.8%
2 24
 
3.4%
1 24
 
3.4%
Other values (6) 78
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 175
 
6.6%
- 159
 
6.0%
t 154
 
5.8%
c 119
 
4.5%
/ 108
 
4.1%
0 99
 
3.7%
g 89
 
3.4%
s 77
 
2.9%
h 76
 
2.9%
A 74
 
2.8%
Other values (58) 1512
57.2%

채널채널설명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-10T22:50:31.722979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length968
Median length123
Mean length185.95833
Min length11

Characters and Unicode

Total characters4463
Distinct characters384
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row삼대장 리재영입네다.
2nd row스포츠로 건강한 삶; 행복한 국민의 동반자. 국민체육진흥공단(KSPO) 공식 유튜브 채널입니다! ▶KSPO 인스타그램 https:www.instagram.comkspo.insta ▶KSPO 페이스북 https:www.facebook.comkspof ▶KSPO 공식블로그 http:blog.kspo.or.kr
3rd row국가측정표준 대표기관 한국표준과학연구원 KRISS의 공식 YouTube 페이지입니다.
4th row[WeJoy] INFORMATION: ♡ WeJoy Subscribe ▶ https:goo.glcEBq3b Exciting experience will be uploaded everyday. Thanks for watching.
5th row서대문50플러스센터는 50+세대를 위한 전문 상담과 새로운 관계; 커리어; 일자리 등을 찾기 위한 맞춤형 교육 프로그램을 운영합니다. 인생설계·경력개발·커뮤니티·문화조성 사업 그리고 서대문50플러스센터 특화 사업인 50+ 시민교육·마을에서 배우다 등 다양한 영역에서 펼쳐지는 전문 강좌들을 만나보세요.
ValueCountFrequency (%)
23
 
3.2%
and 13
 
1.8%
to 8
 
1.1%
한밤 8
 
1.1%
i 7
 
1.0%
the 7
 
1.0%
유튜브 6
 
0.8%
다양한 5
 
0.7%
youtube 5
 
0.7%
채널입니다 5
 
0.7%
Other values (533) 637
88.0%
2023-12-10T22:50:32.433855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
907
 
20.3%
e 188
 
4.2%
o 155
 
3.5%
a 147
 
3.3%
t 132
 
3.0%
n 130
 
2.9%
i 112
 
2.5%
s 98
 
2.2%
r 96
 
2.2%
m 66
 
1.5%
Other values (374) 2432
54.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1736
38.9%
Other Letter 1134
25.4%
Space Separator 907
20.3%
Uppercase Letter 348
 
7.8%
Other Punctuation 155
 
3.5%
Decimal Number 92
 
2.1%
Dash Punctuation 23
 
0.5%
Close Punctuation 20
 
0.4%
Open Punctuation 19
 
0.4%
Other Symbol 12
 
0.3%
Other values (2) 17
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 36
 
3.2%
니 29
 
2.6%
한 26
 
2.3%
의 21
 
1.9%
시 20
 
1.8%
는 20
 
1.8%
이 20
 
1.8%
스 18
 
1.6%
영 17
 
1.5%
상 17
 
1.5%
Other values (275) 910
80.2%
Lowercase Letter
ValueCountFrequency (%)
e 188
 
10.8%
o 155
 
8.9%
a 147
 
8.5%
t 132
 
7.6%
n 130
 
7.5%
i 112
 
6.5%
s 98
 
5.6%
r 96
 
5.5%
m 66
 
3.8%
l 66
 
3.8%
Other values (29) 546
31.5%
Uppercase Letter
ValueCountFrequency (%)
S 35
 
10.1%
I 25
 
7.2%
O 24
 
6.9%
R 24
 
6.9%
K 22
 
6.3%
E 21
 
6.0%
D 20
 
5.7%
C 19
 
5.5%
T 18
 
5.2%
B 18
 
5.2%
Other values (15) 122
35.1%
Decimal Number
ValueCountFrequency (%)
0 26
28.3%
1 16
17.4%
2 12
13.0%
5 10
 
10.9%
7 9
 
9.8%
9 5
 
5.4%
6 5
 
5.4%
4 4
 
4.3%
3 4
 
4.3%
8 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 64
41.3%
: 21
 
13.5%
! 17
 
11.0%
; 15
 
9.7%
* 15
 
9.7%
' 10
 
6.5%
@ 7
 
4.5%
· 4
 
2.6%
? 2
 
1.3%
Other Symbol
ValueCountFrequency (%)
♥ 5
41.7%
▶ 5
41.7%
ⓒ 1
 
8.3%
♡ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 10
50.0%
] 9
45.0%
】 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
[ 9
47.4%
( 9
47.4%
【 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
~ 3
42.9%
= 2
28.6%
+ 2
28.6%
Space Separator
ValueCountFrequency (%)
907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2056
46.1%
Common 1245
27.9%
Hangul 1134
25.4%
Cyrillic 28
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 36
 
3.2%
니 29
 
2.6%
한 26
 
2.3%
의 21
 
1.9%
시 20
 
1.8%
는 20
 
1.8%
이 20
 
1.8%
스 18
 
1.6%
영 17
 
1.5%
상 17
 
1.5%
Other values (275) 910
80.2%
Latin
ValueCountFrequency (%)
e 188
 
9.1%
o 155
 
7.5%
a 147
 
7.1%
t 132
 
6.4%
n 130
 
6.3%
i 112
 
5.4%
s 98
 
4.8%
r 96
 
4.7%
m 66
 
3.2%
l 66
 
3.2%
Other values (40) 866
42.1%
Common
ValueCountFrequency (%)
907
72.9%
. 64
 
5.1%
0 26
 
2.1%
- 23
 
1.8%
: 21
 
1.7%
! 17
 
1.4%
1 16
 
1.3%
; 15
 
1.2%
* 15
 
1.2%
2 12
 
1.0%
Other values (25) 129
 
10.4%
Cyrillic
ValueCountFrequency (%)
т 4
14.3%
е 4
14.3%
м 3
10.7%
и 2
7.1%
о 2
7.1%
с 2
7.1%
в 2
7.1%
д 2
7.1%
р 2
7.1%
я 1
 
3.6%
Other values (4) 4
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3283
73.6%
Hangul 1134
 
25.4%
Cyrillic 28
 
0.6%
Misc Symbols 6
 
0.1%
None 6
 
0.1%
Geometric Shapes 5
 
0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
907
27.6%
e 188
 
5.7%
o 155
 
4.7%
a 147
 
4.5%
t 132
 
4.0%
n 130
 
4.0%
i 112
 
3.4%
s 98
 
3.0%
r 96
 
2.9%
m 66
 
2.0%
Other values (68) 1252
38.1%
Hangul
ValueCountFrequency (%)
다 36
 
3.2%
니 29
 
2.6%
한 26
 
2.3%
의 21
 
1.9%
시 20
 
1.8%
는 20
 
1.8%
이 20
 
1.8%
스 18
 
1.6%
영 17
 
1.5%
상 17
 
1.5%
Other values (275) 910
80.2%
Misc Symbols
ValueCountFrequency (%)
♥ 5
83.3%
♡ 1
 
16.7%
Geometric Shapes
ValueCountFrequency (%)
▶ 5
100.0%
Cyrillic
ValueCountFrequency (%)
т 4
14.3%
е 4
14.3%
м 3
10.7%
и 2
7.1%
о 2
7.1%
с 2
7.1%
в 2
7.1%
д 2
7.1%
р 2
7.1%
я 1
 
3.6%
Other values (4) 4
14.3%
None
ValueCountFrequency (%)
· 4
66.7%
】 1
 
16.7%
【 1
 
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 1
100.0%

채널채널범주명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
MCN
14 
공공기관
11 
TV
2 

Length

Max length4
Median length3
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MCN 14
51.9%
공공기관 11
40.7%
TV 2
 
7.4%

Length

2023-12-10T22:50:32.674033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:32.862956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 14
51.9%
공공기관 11
40.7%
tv 2
 
7.4%

채널채널명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T22:50:33.170846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length9.5925926
Min length3

Characters and Unicode

Total characters259
Distinct characters128
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row리재영
2nd rowKSPO국민체육진흥공단
3rd row한국표준과학연구원 KRISS
4th rowWeJoy
5th row서대문50플러스센터
ValueCountFrequency (%)
채널 2
 
4.3%
리재영 1
 
2.2%
catch 1
 
2.2%
서산시tv 1
 
2.2%
새벽을 1
 
2.2%
여는 1
 
2.2%
건 1
 
2.2%
김사장 1
 
2.2%
zi 1
 
2.2%
kroove 1
 
2.2%
Other values (35) 35
76.1%
2023-12-10T22:50:34.073798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
7.3%
a 9
 
3.5%
o 8
 
3.1%
u 6
 
2.3%
S 6
 
2.3%
E 6
 
2.3%
i 6
 
2.3%
서 5
 
1.9%
A 5
 
1.9%
c 5
 
1.9%
Other values (118) 184
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
42.5%
Lowercase Letter 68
26.3%
Uppercase Letter 59
22.8%
Space Separator 19
 
7.3%
Decimal Number 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 5
 
4.5%
리 3
 
2.7%
시 3
 
2.7%
부 3
 
2.7%
원 3
 
2.7%
구 3
 
2.7%
산 3
 
2.7%
한 2
 
1.8%
영 2
 
1.8%
청 2
 
1.8%
Other values (71) 81
73.6%
Uppercase Letter
ValueCountFrequency (%)
S 6
 
10.2%
E 6
 
10.2%
A 5
 
8.5%
B 4
 
6.8%
K 4
 
6.8%
N 3
 
5.1%
L 3
 
5.1%
I 3
 
5.1%
D 3
 
5.1%
H 3
 
5.1%
Other values (13) 19
32.2%
Lowercase Letter
ValueCountFrequency (%)
a 9
13.2%
o 8
11.8%
u 6
 
8.8%
i 6
 
8.8%
c 5
 
7.4%
s 4
 
5.9%
m 4
 
5.9%
r 4
 
5.9%
k 3
 
4.4%
e 3
 
4.4%
Other values (10) 16
23.5%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 127
49.0%
Hangul 110
42.5%
Common 22
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 5
 
4.5%
리 3
 
2.7%
시 3
 
2.7%
부 3
 
2.7%
원 3
 
2.7%
구 3
 
2.7%
산 3
 
2.7%
한 2
 
1.8%
영 2
 
1.8%
청 2
 
1.8%
Other values (71) 81
73.6%
Latin
ValueCountFrequency (%)
a 9
 
7.1%
o 8
 
6.3%
u 6
 
4.7%
S 6
 
4.7%
E 6
 
4.7%
i 6
 
4.7%
A 5
 
3.9%
c 5
 
3.9%
s 4
 
3.1%
m 4
 
3.1%
Other values (33) 68
53.5%
Common
ValueCountFrequency (%)
19
86.4%
0 1
 
4.5%
5 1
 
4.5%
- 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149
57.5%
Hangul 110
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
 
12.8%
a 9
 
6.0%
o 8
 
5.4%
u 6
 
4.0%
S 6
 
4.0%
E 6
 
4.0%
i 6
 
4.0%
A 5
 
3.4%
c 5
 
3.4%
s 4
 
2.7%
Other values (37) 75
50.3%
Hangul
ValueCountFrequency (%)
서 5
 
4.5%
리 3
 
2.7%
시 3
 
2.7%
부 3
 
2.7%
원 3
 
2.7%
구 3
 
2.7%
산 3
 
2.7%
한 2
 
1.8%
영 2
 
1.8%
청 2
 
1.8%
Other values (71) 81
73.6%

채널구독자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834362.41
Minimum0
Maximum17100000
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-10T22:50:34.332242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.5
Q11329.5
median16700
Q3168000
95-th percentile1652000
Maximum17100000
Range17100000
Interquartile range (IQR)166670.5

Descriptive statistics

Standard deviation3280089.3
Coefficient of variation (CV)3.9312525
Kurtosis25.929183
Mean834362.41
Median Absolute Deviation (MAD)16684
Skewness5.0535614
Sum22527785
Variance1.0758986 × 1013
MonotonicityNot monotonic
2023-12-10T22:50:34.560420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
32000 1
 
3.7%
19200 1
 
3.7%
40100 1
 
3.7%
211 1
 
3.7%
808000 1
 
3.7%
11 1
 
3.7%
12200 1
 
3.7%
1910000 1
 
3.7%
12500 1
 
3.7%
16700 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
0 1
3.7%
11 1
3.7%
16 1
3.7%
142 1
3.7%
211 1
3.7%
246 1
3.7%
639 1
3.7%
2020 1
3.7%
2750 1
3.7%
3040 1
3.7%
ValueCountFrequency (%)
17100000 1
3.7%
1910000 1
3.7%
1050000 1
3.7%
808000 1
3.7%
736000 1
3.7%
325000 1
3.7%
203000 1
3.7%
133000 1
3.7%
58200 1
3.7%
57100 1
3.7%

구독자수비공개정보
Boolean

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size186.0 B
False
26 
True
 
1
ValueCountFrequency (%)
False 26
96.3%
True 1
 
3.7%
2023-12-10T22:50:34.731048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
KR
16 
<NA>
8 
US
2 
CA
 
1

Length

Max length4
Median length2
Mean length2.5925926
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
KR 16
59.3%
<NA> 8
29.6%
US 2
 
7.4%
CA 1
 
3.7%

Length

2023-12-10T22:50:34.918830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:35.153297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 16
59.3%
na 8
29.6%
us 2
 
7.4%
ca 1
 
3.7%

채널채널키워드명
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing9
Missing (%)33.3%
Memory size348.0 B
2023-12-10T22:50:35.724411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length47
Mean length48.388889
Min length2

Characters and Unicode

Total characters871
Distinct characters209
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

Unique18 ?
Unique (%)100.0%

Sample

1st row푸드
2nd row국민체육진흥공단 kspo 잡스포이즈 국민체력100 백세권 국립체육박물관 소마미술관 스포츠과학원 스포츠산업일자리지원센터 Jobspois 지원88 kspo지원88 경륜경정TV 스피드클럽 국민건강체조 새천년건강체조
3rd rowKRISS 한국표준과학연구원 표준연 측정표준 과학 측정 시간 길이 온도 질량 광도 불확도 전자파 전기
4th rowmukbang
5th row50플러스 서대문구 5060 인생이모작 50+ 서울 홍제동 홍은동
ValueCountFrequency (%)
k-pop 5
 
3.1%
kpop 3
 
1.9%
트로트 3
 
1.9%
한국 2
 
1.2%
축제 2
 
1.2%
mv 2
 
1.2%
reaction 2
 
1.2%
대덕구 2
 
1.2%
대전 2
 
1.2%
news 2
 
1.2%
Other values (131) 136
84.5%
2023-12-10T22:50:36.507827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
16.4%
o 33
 
3.8%
p 26
 
3.0%
e 25
 
2.9%
n 24
 
2.8%
a 22
 
2.5%
r 18
 
2.1%
i 16
 
1.8%
s 16
 
1.8%
구 14
 
1.6%
Other values (199) 534
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
44.1%
Lowercase Letter 260
29.9%
Space Separator 143
 
16.4%
Uppercase Letter 59
 
6.8%
Decimal Number 17
 
2.0%
Dash Punctuation 6
 
0.7%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 14
 
3.6%
국 11
 
2.9%
시 10
 
2.6%
이 9
 
2.3%
트 9
 
2.3%
덕 8
 
2.1%
지 8
 
2.1%
원 7
 
1.8%
대 7
 
1.8%
한 7
 
1.8%
Other values (145) 294
76.6%
Lowercase Letter
ValueCountFrequency (%)
o 33
12.7%
p 26
10.0%
e 25
9.6%
n 24
9.2%
a 22
 
8.5%
r 18
 
6.9%
i 16
 
6.2%
s 16
 
6.2%
k 12
 
4.6%
c 10
 
3.8%
Other values (14) 58
22.3%
Uppercase Letter
ValueCountFrequency (%)
K 9
15.3%
S 7
11.9%
D 6
10.2%
G 5
8.5%
B 4
 
6.8%
A 4
 
6.8%
R 4
 
6.8%
P 3
 
5.1%
T 3
 
5.1%
V 2
 
3.4%
Other values (10) 12
20.3%
Decimal Number
ValueCountFrequency (%)
0 7
41.2%
8 4
23.5%
5 3
17.6%
3 1
 
5.9%
6 1
 
5.9%
1 1
 
5.9%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
44.1%
Latin 319
36.6%
Common 168
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 14
 
3.6%
국 11
 
2.9%
시 10
 
2.6%
이 9
 
2.3%
트 9
 
2.3%
덕 8
 
2.1%
지 8
 
2.1%
원 7
 
1.8%
대 7
 
1.8%
한 7
 
1.8%
Other values (145) 294
76.6%
Latin
ValueCountFrequency (%)
o 33
 
10.3%
p 26
 
8.2%
e 25
 
7.8%
n 24
 
7.5%
a 22
 
6.9%
r 18
 
5.6%
i 16
 
5.0%
s 16
 
5.0%
k 12
 
3.8%
c 10
 
3.1%
Other values (34) 117
36.7%
Common
ValueCountFrequency (%)
143
85.1%
0 7
 
4.2%
- 6
 
3.6%
8 4
 
2.4%
5 3
 
1.8%
' 1
 
0.6%
3 1
 
0.6%
+ 1
 
0.6%
6 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 487
55.9%
Hangul 384
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
29.4%
o 33
 
6.8%
p 26
 
5.3%
e 25
 
5.1%
n 24
 
4.9%
a 22
 
4.5%
r 18
 
3.7%
i 16
 
3.3%
s 16
 
3.3%
k 12
 
2.5%
Other values (44) 152
31.2%
Hangul
ValueCountFrequency (%)
구 14
 
3.6%
국 11
 
2.9%
시 10
 
2.6%
이 9
 
2.3%
트 9
 
2.3%
덕 8
 
2.1%
지 8
 
2.1%
원 7
 
1.8%
대 7
 
1.8%
한 7
 
1.8%
Other values (145) 294
76.6%

영상
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing5
Missing (%)18.5%
Memory size348.0 B
2023-12-10T22:50:36.985154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters242
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

Unique22 ?
Unique (%)100.0%

Sample

1st rowcLk7KJVnfB8
2nd rownGU3zkH0Xnc
3rd rowq_i-LYzfH5M
4th rowcfq0VlYvOFA
5th rowfFzt6IaJJUs
ValueCountFrequency (%)
m6tmq-icsrg 1
 
4.5%
q_i-lyzfh5m 1
 
4.5%
hcvqxq5xgsa 1
 
4.5%
3cdvc136jw 1
 
4.5%
vswyflint4a 1
 
4.5%
4i69xubadwk 1
 
4.5%
u9olt3gtzwe 1
 
4.5%
jvc-vkuxoq 1
 
4.5%
lrxhk15zo6e 1
 
4.5%
nb8xoznmfbm 1
 
4.5%
Other values (12) 12
54.5%
2023-12-10T22:50:38.101409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 8
 
3.3%
A 7
 
2.9%
_ 7
 
2.9%
O 7
 
2.9%
v 7
 
2.9%
V 7
 
2.9%
k 7
 
2.9%
6 6
 
2.5%
f 6
 
2.5%
X 6
 
2.5%
Other values (51) 174
71.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 96
39.7%
Lowercase Letter 96
39.7%
Decimal Number 39
16.1%
Connector Punctuation 7
 
2.9%
Dash Punctuation 4
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
v 7
 
7.3%
k 7
 
7.3%
f 6
 
6.2%
c 6
 
6.2%
i 6
 
6.2%
q 5
 
5.2%
n 5
 
5.2%
s 5
 
5.2%
o 5
 
5.2%
t 5
 
5.2%
Other values (15) 39
40.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
 
7.3%
O 7
 
7.3%
V 7
 
7.3%
X 6
 
6.2%
M 6
 
6.2%
H 5
 
5.2%
G 5
 
5.2%
F 5
 
5.2%
L 5
 
5.2%
K 4
 
4.2%
Other values (14) 39
40.6%
Decimal Number
ValueCountFrequency (%)
8 8
20.5%
6 6
15.4%
0 5
12.8%
3 4
10.3%
5 4
10.3%
4 4
10.3%
1 3
 
7.7%
9 2
 
5.1%
2 2
 
5.1%
7 1
 
2.6%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 192
79.3%
Common 50
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 7
 
3.6%
O 7
 
3.6%
v 7
 
3.6%
V 7
 
3.6%
k 7
 
3.6%
f 6
 
3.1%
X 6
 
3.1%
c 6
 
3.1%
i 6
 
3.1%
M 6
 
3.1%
Other values (39) 127
66.1%
Common
ValueCountFrequency (%)
8 8
16.0%
_ 7
14.0%
6 6
12.0%
0 5
10.0%
3 4
8.0%
5 4
8.0%
4 4
8.0%
- 4
8.0%
1 3
 
6.0%
9 2
 
4.0%
Other values (2) 3
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 8
 
3.3%
A 7
 
2.9%
_ 7
 
2.9%
O 7
 
2.9%
v 7
 
2.9%
V 7
 
2.9%
k 7
 
2.9%
6 6
 
2.5%
f 6
 
2.5%
X 6
 
2.5%
Other values (51) 174
71.9%

Interactions

2023-12-10T22:50:27.121372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:50:38.381720image/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
채널채널범주명1.0001.0001.0001.0001.0001.0000.7830.0000.0001.0001.000
채널채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널구독자수1.0001.0001.0001.0000.7831.0001.0000.0000.0001.0001.000
구독자수비공개정보1.0001.0001.0001.0000.0001.0000.0001.0000.0001.0001.000
채널국가1.0001.0001.0001.0000.0001.0000.0000.0001.0001.0001.000
채널채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-10T22:50:38.608635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널채널범주명구독자수비공개정보채널국가
채널채널범주명1.0000.0000.000
구독자수비공개정보0.0001.0000.000
채널국가0.0000.0001.000
2023-12-10T22:50:38.825566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널구독자수채널채널범주명구독자수비공개정보채널국가
채널구독자수1.0000.4420.0000.000
채널채널범주명0.4421.0000.0000.000
구독자수비공개정보0.0000.0001.0000.000
채널국가0.0000.0000.0001.000

Missing values

2023-12-10T22:50:27.339426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:50:27.624988image/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.
2023-12-10T22:50:27.932276image/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/UCbLaBiJ4fDETddezqOC6N5g2021-06-012016-08-30https://yt3.ggpht.com/ytc/AAUvwng3UVHadGD0IgCdn6s9nxIucLeMhQCS7a0F9ht1gA=s88-c-k-c0x00ffffff-no-rj삼대장 리재영입네다.MCN리재영32000FalseKR푸드cLk7KJVnfB8
1https://www.youtube.com/channel/UCmECojbGEIBckSAnWl5h2LQ2021-06-012012-02-10https://yt3.ggpht.com/ytc/AAUvwnji9zUqfKVAgUtzBZeDPJha6_P_CAd-9aX1R0GgGQ=s88-c-k-c0x00ffffff-no-rj스포츠로 건강한 삶; 행복한 국민의 동반자. 국민체육진흥공단(KSPO) 공식 유튜브 채널입니다! ▶KSPO 인스타그램 https:www.instagram.comkspo.insta ▶KSPO 페이스북 https:www.facebook.comkspof ▶KSPO 공식블로그 http:blog.kspo.or.kr공공기관KSPO국민체육진흥공단19200FalseKR국민체육진흥공단 kspo 잡스포이즈 국민체력100 백세권 국립체육박물관 소마미술관 스포츠과학원 스포츠산업일자리지원센터 Jobspois 지원88 kspo지원88 경륜경정TV 스피드클럽 국민건강체조 새천년건강체조nGU3zkH0Xnc
2https://www.youtube.com/channel/UCDBf2l0Z4fhutCrlNIek1Tw2021-06-012009-05-30https://yt3.ggpht.com/ytc/AAUvwnipFPckeLm0Wt6jZG_hFs5-mT1UsLQHtZn5aRQVHg=s88-c-k-c0x00ffffff-no-rj국가측정표준 대표기관 한국표준과학연구원 KRISS의 공식 YouTube 페이지입니다.공공기관한국표준과학연구원 KRISS0TrueKRKRISS 한국표준과학연구원 표준연 측정표준 과학 측정 시간 길이 온도 질량 광도 불확도 전자파 전기q_i-LYzfH5M
3https://www.youtube.com/channel/UCnCROjsw47ztuCot13iNDHA2021-06-012015-09-21https://yt3.ggpht.com/ytc/AAUvwngHsU2GKusYRhyHARIXgSPwVtJRJNGIkprRysvQ8g=s88-c-k-c0x00ffffff-no-rj[WeJoy] INFORMATION: ♡ WeJoy Subscribe ▶ https:goo.glcEBq3b Exciting experience will be uploaded everyday. Thanks for watching.MCNWeJoy325000FalseUSmukbangcfq0VlYvOFA
4https://www.youtube.com/channel/UCe0sJKFHzmWSgnJ1Q-1z4iQ2021-06-012018-08-24https://yt3.ggpht.com/ytc/AAUvwnizdD8fR3U5789haWrEp5EgYXaMfYo8fWFxtLo=s88-c-k-c0x00ffffff-no-rj서대문50플러스센터는 50+세대를 위한 전문 상담과 새로운 관계; 커리어; 일자리 등을 찾기 위한 맞춤형 교육 프로그램을 운영합니다. 인생설계·경력개발·커뮤니티·문화조성 사업 그리고 서대문50플러스센터 특화 사업인 50+ 시민교육·마을에서 배우다 등 다양한 영역에서 펼쳐지는 전문 강좌들을 만나보세요.공공기관서대문50플러스센터2020FalseKR50플러스 서대문구 5060 인생이모작 50+ 서울 홍제동 홍은동fFzt6IaJJUs
5https://www.youtube.com/channel/UCT1FXohZnfmvP5Ewk8FJYTQ2021-06-012015-03-09https://yt3.ggpht.com/ytc/AAUvwnjYAWZAwmGx26mN9w5mz2kjbbwz2h1uZ2XQFrvQKg=s88-c-k-c0x00ffffff-no-rj구민과 함께하는 새로운 대덕 대전광역시 대덕구 공식 YouTube 채널입니다공공기관덕구티이비2750False<NA>대전 대덕구 덕구 덕구티이비 덕구tv 대덕구청 대전 대덕구 덕구티비mBKdosiOBx8
6https://www.youtube.com/channel/UCbJDBluNcXw3SPUPffeY3Dw2021-06-012015-01-13https://yt3.ggpht.com/ytc/AAUvwnjPG6Jj1bwXByb2QLR2RuIuWHT3wWS_pIPXpUZRCg=s88-c-k-c0x00ffffff-no-rj나라를 위해 희생 헌신하신 보훈가족 여러분들을 위한 행정을 펼치는 서울북부보훈지청의 유튜브 채널입니다. 보훈가족분들 뿐 아니라 국민의 나라사랑 정신 함양을 위한 다양한 동영상들을 지속적으로 업로드 하겠습니다.공공기관북부보훈지청서울142False<NA><NA><NA>
7https://www.youtube.com/channel/UCStb6xqP228XXUykrrY-_CQ2021-06-012015-04-24https://yt3.ggpht.com/ytc/AAUvwnhDru3ny5BfIS8OpKp1eBPLNkqSYX42p54KqEHqtg=s88-c-k-c0x00ffffff-no-rj요리를 스타일하다; 우리의식탁MCN우리의식탁 W TABLE1050000FalseKR레시피 가정요리 recipe korean koreanfood 우리의식탁 WTABLE 한국요리 한국음식 koreanfoodrecipe 반찬만들기 아내의식탁aOHgEwivk_0
8https://www.youtube.com/channel/UCjqowbOi_NS69NxUynOo5yg2021-06-012013-09-27https://yt3.ggpht.com/ytc/AAUvwnjbniIO07jYJCaJ81pUbxMTA0mtFJgEsMLoYl4E-g=s88-c-k-c0x00ffffff-no-rj시흥시청은 시흥시에서 운영하는 공식 유튜브 채널입니다. 시흥시의 시정과 생활 정보; 문화와 관광; 지방자치 등 다양한 정보를 시민들과 나누는 열린 플랫폼 입니다. http:www.siheung.go.krmedia 기획제작 시흥시청 홍보담당관공공기관시흥시청5710FalseKR시흥시 시흥 홍보담당관 시흥방송 소통 배곧신도시 장현지구 목감신도시 은계지구 장곡지구 시흥시청Fm_6VUh1-0M
9https://www.youtube.com/channel/UChHEyWtxzbVntKclxFFKT7Q2021-06-012017-05-25https://yt3.ggpht.com/ytc/AAUvwngkaCGzo3y1LMKCPdrTECUQsGhFS2PP7Jj1Kggz=s88-c-k-c0x00ffffff-no-rj국책기관인 한국환경정책평가연구원(KEI)에서 운영하는 사이버환경정책교육원(CYBEREDU.KEI.RE.KR)의 교육 안내 채널입니다. KEI was established to contribute to preventing and solving environmental problems through environmental policy research and a professional and fair review of environmental impact assessments공공기관E-LEARNING KEI246False<NA><NA><NA>
채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
17https://www.youtube.com/channel/UCuG2Hlcx32USVkPQKEfrgiA2021-06-012019-03-27https://yt3.ggpht.com/ytc/AAUvwnje7XJtsmg-nH2ssV1_1P2KUWXfASeHl62CCI11kA=s88-c-k-c0x00ffffff-no-rj서산시민이 만드는 유튜브 서산시 TV 입니다 유튜브 꿈나무 핵잼 알면이득 꿀잼을 추구합니다 좋아요 구독 눌러주세요공공기관서산시TV3040FalseKR<NA>NB8xoZnMfbM
18https://www.youtube.com/channel/UCV5a6CsFhfGRATihfeeidow2021-06-012016-01-24https://yt3.ggpht.com/ytc/AAUvwngKi0SLNPOzUIGLITtvngzjLMXGm6iZWoH9EMSD=s88-c-k-c0x00ffffff-no-rjGun for DawnMCN새벽을 여는 건133000False<NA><NA>lrXHK15zO6E
19https://www.youtube.com/channel/UCkJ8VwPQqqpCwQ7oyeL-Vvw2021-06-012009-04-12https://yt3.ggpht.com/ytc/AAUvwnjFUfBLUx9IPkJRzSHxgS2QFxH97sLoy_mMk1XIKZ0=s88-c-k-c0x00ffffff-no-rj*김사장채널 가족 브이로그 영상입니다* 결혼 11년차 처가살이 12년차 딸_쭈하 와이프_신씨 여러분의 좋아요 구독 은 채널성장에 큰힘이됩니다_사랑합니다 가끔 터져나오는 생각은 개인의견입니다_사랑합니다 나오는 인물은 실제 가족입니다 와이프는 실제 와이프입니다 -후원- **페이팔** https:paypal.meyoutuberkimsajang?locale.x=ko_KR -문의- iankim07@gmail.com -인스타그램- @yt_kimsajangMCN김사장16700FalseKR가족 30대_jvc-vKuXOQ
20https://www.youtube.com/channel/UCW7EqXImBozM-6dbLHiIB-g2021-06-012015-04-18https://yt3.ggpht.com/ytc/AAUvwnh6eMZlP8Mx8jPPO-04fb_imSsDLn-29-uwrQRJiA=s88-c-k-c0x00ffffff-no-rjBytedancetiktok korea; short-video operation manager~ing Fintech startupContents Team CJ ENM DIA TVMCN global Team TV chosun broadcasting stationProgram Director(variety show) based in Seoul; South Korea рад тебя видеть! Посмотрим вместе!MCNZi kroove12500FalseKRqpop kpop mv reaction analysisu9OLt3gtZWE
21https://www.youtube.com/channel/UC3re3ueOE_6VZK85zlEUWFA2021-06-012016-07-29https://yt3.ggpht.com/ytc/AAUvwnjSi99rnkmwmlX6E0hqeRWnz-OsyjBWXqNaGTV7SQ=s88-c-k-c0x00ffffff-no-rjSBS 드라마 공식 유튜브 채널 SBS Drama Official Youtube Channel 스브스 드라마의 모든 재미를 캐치하다! 잊지 못할 레전드부터 따끈따끈 신작까지 스브스 드라마의 모든 것을 아낌없이 모아보고; 골라보는 꿀잼 스브스캐치와 함께TVSBS Catch1910000FalseKR<NA>4i69XubAdwk
22https://www.youtube.com/channel/UC5QvDTsRy1ekpht3jhw-Zpg2021-06-012014-05-06https://yt3.ggpht.com/ytc/AAUvwngdDPIC-cv8gqxX14Kms2CQ-wWYd7WZYqEoe6Zf0A=s88-c-k-c0x00ffffff-no-rjHey everyone; my name's Luc! I didn't used to know anyone that liked K-Pop; so I made this channel to connect with others who like it too. I was born; raised and currently live in Alberta; Canada. It's been over 10 years since I discovered K-Pop and although my investment in the community has evolved over time; the music and MVs have always kept me going. I hope you'll take the time to check out some of my videos and leave some comments - it's what I look forward to the most! Thank you for making me feel less alone and for helping me build this little community. Catch me on my other social media and I'll see you in the next video!MCNAwkward Luc12200FalseCAKpop Youtubers Reaction Reactions MV Kpopper K-pop Korean Pop Awkward Funny K-pop news Kpop news Blackpink SNSD Girls' Generation BTSvsWYFlinT4A
23https://www.youtube.com/channel/UCqTJ7kWsnnSu66Ex1ufpfYA2021-06-012019-06-18https://yt3.ggpht.com/ytc/AAUvwnjjI0S8aCk9fJaPpXT2zybHzbYNW2Q55svzq_3i=s88-c-k-c0x00ffffff-no-rj<NA>MCNK music broadcast11FalseKR성인가요 한국성인가요 한국 성인가요 트로트 한국음악 음악 트로트여왕 트로트 방송 한국 트로트 방송 축제 축제 영상<NA>
24https://www.youtube.com/channel/UCPZ4e8BQEM-BlepSeZUESSw2021-06-012015-08-08https://yt3.ggpht.com/ytc/AAUvwnhOu-9ePu-w5lkI8uCCJS7kJVeIdHsHVyR8ZopsAA=s88-c-k-c0x00ffffff-no-rj<NA>MCN강유미 yumi kang좋아서 하는 채널808000False<NA><NA>_3CDVC136jw
25https://www.youtube.com/channel/UCGHZD4pwb54AHBrun3vdfBA2021-06-012014-07-15https://yt3.ggpht.com/ytc/AAUvwnhnInjbjwbUVYNPgqfv-XIYrXrPM-L_dmdYEhB_Gw=s88-c-k-c0x00ffffff-no-rj영상물등급위원회 YouTube 채널 'Kmrbstory'입니다. Korea Media Rating Board(영상물등급위원회)의 다양한 정보와 홍보영상을 채널을 통해 확인하세요.공공기관영상물등급위원회211False<NA>영상물등급위원회 영등위 공공기관 영상물등급 등급분류 등급교육<NA>
26https://www.youtube.com/channel/UCHVgvywo0ROHLWXPh-BmX4w2021-06-012013-11-11https://yt3.ggpht.com/ytc/AAUvwngWybTEoB-hjVs2Z2Sac54RYcYBZHeQlbHelaNKIA=s88-c-k-c0x00ffffff-no-rj-mo목소리가 필요하면 메일로 문의주세요! :) rennamasis@naver.com 노래라디오게임더빙일상여행LiveMCN유하미YooHami40100FalseKR<NA>8f_TlvVW_U4