Overview

Dataset statistics

Number of variables12
Number of observations27
Missing cells15
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory95.9 B

Variable types

Text6
Categorical3
DateTime1
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/6d136029-faa9-4c5c-b9c8-f82f7f5484e5

Alerts

채널수집일자 has constant value ""Constant
채널채널범주명 is highly overall correlated with 구독자수비공개정보High correlation
구독자수비공개정보 is highly overall correlated with 채널채널범주명High correlation
구독자수비공개정보 is highly imbalanced (61.9%)Imbalance
채널채널설명 has 4 (14.8%) missing valuesMissing
채널채널키워드명 has 7 (25.9%) missing valuesMissing
영상 has 4 (14.8%) missing valuesMissing
채널채널경로명 has unique valuesUnique
채널채널생성일자 has unique valuesUnique
채널아이콘 has unique valuesUnique
채널채널명 has unique valuesUnique
채널구독자수 has 2 (7.4%) zerosZeros

Reproduction

Analysis started2023-12-10 14:11:20.002687
Analysis finished2023-12-10 14:11:22.316848
Duration2.31 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
2023-12-10T23:11:22.640418image/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/UCgdsezxem8jkAC7z8Xw2V7w
2nd rowhttps://www.youtube.com/channel/UCZW0yRW2HK7_fzgL9HQu9ZA
3rd rowhttps://www.youtube.com/channel/UCAsIWngtJwMJWuXhv8-e92Q
4th rowhttps://www.youtube.com/channel/UCiii7jUcdg1rcHLKuNzsfnw
5th rowhttps://www.youtube.com/channel/UC2Th39a6rAoiZWZdJtAUuwQ
ValueCountFrequency (%)
https://www.youtube.com/channel/ucgdsezxem8jkac7z8xw2v7w 1
 
3.7%
https://www.youtube.com/channel/ucmpkzxhvfyllwyhqm-l_kqa 1
 
3.7%
https://www.youtube.com/channel/ucqaborqkqrhp-iuqe-xifvg 1
 
3.7%
https://www.youtube.com/channel/ucea8_dtmdgevhbtjrualuva 1
 
3.7%
https://www.youtube.com/channel/uciytxbe2ye4phf27tqbtcvq 1
 
3.7%
https://www.youtube.com/channel/ucbmynmnks3moqrkgmm_frba 1
 
3.7%
https://www.youtube.com/channel/ucf7dojqnpkren6fgvxtobva 1
 
3.7%
https://www.youtube.com/channel/uclaxdnfl_dyzzqa2u3wx9cw 1
 
3.7%
https://www.youtube.com/channel/uckjbcbijslljtyg_aisof1w 1
 
3.7%
https://www.youtube.com/channel/ucvjaw_gxspabxkkejypbs0g 1
 
3.7%
Other values (17) 17
63.0%
2023-12-10T23:11:23.494539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 108
 
7.1%
w 98
 
6.5%
t 89
 
5.9%
n 67
 
4.4%
e 64
 
4.2%
c 63
 
4.2%
u 63
 
4.2%
h 62
 
4.1%
o 59
 
3.9%
. 54
 
3.6%
Other values (57) 785
51.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 922
61.0%
Uppercase Letter 304
 
20.1%
Other Punctuation 189
 
12.5%
Decimal Number 77
 
5.1%
Connector Punctuation 12
 
0.8%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 98
 
10.6%
t 89
 
9.7%
n 67
 
7.3%
e 64
 
6.9%
c 63
 
6.8%
u 63
 
6.8%
h 62
 
6.7%
o 59
 
6.4%
m 41
 
4.4%
y 38
 
4.1%
Other values (16) 278
30.2%
Uppercase Letter
ValueCountFrequency (%)
U 37
 
12.2%
C 34
 
11.2%
A 22
 
7.2%
Q 16
 
5.3%
H 15
 
4.9%
K 13
 
4.3%
X 13
 
4.3%
Z 12
 
3.9%
P 11
 
3.6%
R 11
 
3.6%
Other values (16) 120
39.5%
Decimal Number
ValueCountFrequency (%)
8 12
15.6%
2 10
13.0%
7 10
13.0%
9 9
11.7%
1 8
10.4%
0 8
10.4%
6 6
7.8%
3 5
6.5%
5 5
6.5%
4 4
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 108
57.1%
. 54
28.6%
: 27
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1226
81.1%
Common 286
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 98
 
8.0%
t 89
 
7.3%
n 67
 
5.5%
e 64
 
5.2%
c 63
 
5.1%
u 63
 
5.1%
h 62
 
5.1%
o 59
 
4.8%
m 41
 
3.3%
y 38
 
3.1%
Other values (42) 582
47.5%
Common
ValueCountFrequency (%)
/ 108
37.8%
. 54
18.9%
: 27
 
9.4%
8 12
 
4.2%
_ 12
 
4.2%
2 10
 
3.5%
7 10
 
3.5%
9 9
 
3.1%
1 8
 
2.8%
- 8
 
2.8%
Other values (5) 28
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 108
 
7.1%
w 98
 
6.5%
t 89
 
5.9%
n 67
 
4.4%
e 64
 
4.2%
c 63
 
4.2%
u 63
 
4.2%
h 62
 
4.1%
o 59
 
3.9%
. 54
 
3.6%
Other values (57) 785
51.9%

채널수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2021-02-01
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-01
2nd row2021-02-01
3rd row2021-02-01
4th row2021-02-01
5th row2021-02-01

Common Values

ValueCountFrequency (%)
2021-02-01 27
100.0%

Length

2023-12-10T23:11:23.744433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:23.901310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-01 27
100.0%

채널채널생성일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2007-04-27 00:00:00
Maximum2019-11-19 00:00:00
2023-12-10T23:11:24.063165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:24.286008image/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
2023-12-10T23:11:24.883796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length98
Mean length97.37037
Min length94

Characters and Unicode

Total characters2629
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/AAUvwnhfQiG_3FBUno4rff4rEbf7ZVG5BLIuUb5Ef_k97Q=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnjgoWdYgUZNIj-QSPrAtwYaA2oyhc4YSKcjZGHBgg=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnhseC2DCqix2Q1H_eMRVlrZy2ILLl2-RqsUrhCd=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwngd9Fonz5dQY1m0YwCvoTMGJ2VFvWAe5Wx01Yef=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnhii6Fn2SRsuVQhkuVrUjACsQwUaTT-voL5i8hR=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwnhfqig_3fbuno4rff4rebf7zvg5bliuub5ef_k97q=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnivypbvfjwfh73ec2zgxfauxqcwkirem9xx5jiata=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnibhvjf-ngbbdobbdyzjcp8akucbreelyp6mk-0tq=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnia53br1r2akdxwmhuvvihhmkjbop4etr6fr5kf=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwngudb_se5m3plzd2fzyde44kwr0eo5qx4q-befv4a=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwni02oayrw4_bjjb_k1j2npiahg5y__awod-knpdzq=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnjjzrxv7mfzb662znsrqtxwjpx51qxed6dwng=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwnhwt6peogr6abjqcnpvgkktxnlnstwa6eoch0it5q=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwni_p0qfowv9bx3hyam8mk4zukj2q6exrqonvoti=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
https://yt3.ggpht.com/ytc/aauvwngcutyluxfamm8jruagltxsagg4q1qtq8qh7rbh8q=s88-c-k-c0x00ffffff-no-rj 1
 
3.7%
Other values (17) 17
63.0%
2023-12-10T23:11:25.855856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 181
 
6.9%
- 149
 
5.7%
t 148
 
5.6%
c 120
 
4.6%
/ 108
 
4.1%
0 96
 
3.7%
g 86
 
3.3%
n 78
 
3.0%
h 77
 
2.9%
o 76
 
2.9%
Other values (58) 1510
57.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1435
54.6%
Uppercase Letter 487
 
18.5%
Decimal Number 328
 
12.5%
Other Punctuation 189
 
7.2%
Dash Punctuation 149
 
5.7%
Math Symbol 27
 
1.0%
Connector Punctuation 14
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 181
 
12.6%
t 148
 
10.3%
c 120
 
8.4%
g 86
 
6.0%
n 78
 
5.4%
h 77
 
5.4%
o 76
 
5.3%
y 73
 
5.1%
s 65
 
4.5%
p 65
 
4.5%
Other values (16) 466
32.5%
Uppercase Letter
ValueCountFrequency (%)
A 75
 
15.4%
U 42
 
8.6%
Q 27
 
5.5%
W 19
 
3.9%
C 19
 
3.9%
V 19
 
3.9%
R 19
 
3.9%
E 19
 
3.9%
L 18
 
3.7%
P 18
 
3.7%
Other values (16) 212
43.5%
Decimal Number
ValueCountFrequency (%)
0 96
29.3%
8 65
19.8%
3 44
13.4%
5 22
 
6.7%
4 20
 
6.1%
2 19
 
5.8%
1 18
 
5.5%
6 18
 
5.5%
9 14
 
4.3%
7 12
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 108
57.1%
. 54
28.6%
: 27
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Math Symbol
ValueCountFrequency (%)
= 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1922
73.1%
Common 707
 
26.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 181
 
9.4%
t 148
 
7.7%
c 120
 
6.2%
g 86
 
4.5%
n 78
 
4.1%
h 77
 
4.0%
o 76
 
4.0%
A 75
 
3.9%
y 73
 
3.8%
s 65
 
3.4%
Other values (42) 943
49.1%
Common
ValueCountFrequency (%)
- 149
21.1%
/ 108
15.3%
0 96
13.6%
8 65
9.2%
. 54
 
7.6%
3 44
 
6.2%
: 27
 
3.8%
= 27
 
3.8%
5 22
 
3.1%
4 20
 
2.8%
Other values (6) 95
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2629
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 181
 
6.9%
- 149
 
5.7%
t 148
 
5.6%
c 120
 
4.6%
/ 108
 
4.1%
0 96
 
3.7%
g 86
 
3.3%
n 78
 
3.0%
h 77
 
2.9%
o 76
 
2.9%
Other values (58) 1510
57.4%

채널채널설명
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing4
Missing (%)14.8%
Memory size348.0 B
2023-12-10T23:11:26.327458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length777
Median length88
Mean length166.52174
Min length13

Characters and Unicode

Total characters3830
Distinct characters427
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row수성구청 공식 유튜브 채널입니다.
2nd row트위치 스트리머 순당무입니다 주로 롤 위주로 게임을 하며 종합게임도 간간히 진행하고있습니다. 방송 링크 : https:www.twitch.tvliok0485 평일:10:30~새벽 주말:9:00~새벽
3rd row먹는것도 좋아.만드는것도 좋아. 인생 뭐있습니까? 즐먹입니다 :)
4th row블로그 이것만 사고 그만 살 거야에서 대 동영상 시대에 대비하기 위하여 개설한 유튜브 채널 http:blog.naver.comsmallbooks
5th row연세대학교 물리치료학과 학사; 석사를 마친 국내 물리치료사의 체형교정 건강채널 개인연구소 : 정바른자세연구소 (네이버에서 검색)
ValueCountFrequency (%)
35
 
5.0%
for 8
 
1.1%
the 7
 
1.0%
i 7
 
1.0%
진행 6
 
0.9%
to 6
 
0.9%
you 5
 
0.7%
방송 5
 
0.7%
다양한 4
 
0.6%
캐스터 4
 
0.6%
Other values (503) 615
87.6%
2023-12-10T23:11:26.974192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
736
 
19.2%
o 116
 
3.0%
- 115
 
3.0%
e 111
 
2.9%
t 103
 
2.7%
a 96
 
2.5%
n 81
 
2.1%
i 72
 
1.9%
s 65
 
1.7%
r 62
 
1.6%
Other values (417) 2273
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1472
38.4%
Lowercase Letter 1163
30.4%
Space Separator 736
19.2%
Other Punctuation 146
 
3.8%
Dash Punctuation 115
 
3.0%
Uppercase Letter 106
 
2.8%
Decimal Number 53
 
1.4%
Close Punctuation 15
 
0.4%
Open Punctuation 9
 
0.2%
Modifier Symbol 4
 
0.1%
Other values (5) 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 42
 
2.9%
이 41
 
2.8%
니 36
 
2.4%
스 30
 
2.0%
는 23
 
1.6%
로 23
 
1.6%
한 21
 
1.4%
하 21
 
1.4%
트 20
 
1.4%
리 17
 
1.2%
Other values (340) 1198
81.4%
Lowercase Letter
ValueCountFrequency (%)
o 116
 
10.0%
e 111
 
9.5%
t 103
 
8.9%
a 96
 
8.3%
n 81
 
7.0%
i 72
 
6.2%
s 65
 
5.6%
r 62
 
5.3%
l 55
 
4.7%
u 51
 
4.4%
Other values (15) 351
30.2%
Uppercase Letter
ValueCountFrequency (%)
D 16
15.1%
I 11
 
10.4%
P 9
 
8.5%
T 8
 
7.5%
C 7
 
6.6%
K 7
 
6.6%
S 6
 
5.7%
F 5
 
4.7%
A 5
 
4.7%
O 4
 
3.8%
Other values (13) 28
26.4%
Decimal Number
ValueCountFrequency (%)
1 12
22.6%
0 12
22.6%
2 9
17.0%
4 6
11.3%
3 6
11.3%
5 3
 
5.7%
6 2
 
3.8%
8 1
 
1.9%
9 1
 
1.9%
7 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 51
34.9%
; 33
22.6%
: 27
18.5%
! 19
 
13.0%
@ 7
 
4.8%
' 6
 
4.1%
& 1
 
0.7%
? 1
 
0.7%
· 1
 
0.7%
Space Separator
ValueCountFrequency (%)
736
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
● 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1472
38.4%
Latin 1269
33.1%
Common 1089
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 42
 
2.9%
이 41
 
2.8%
니 36
 
2.4%
스 30
 
2.0%
는 23
 
1.6%
로 23
 
1.6%
한 21
 
1.4%
하 21
 
1.4%
트 20
 
1.4%
리 17
 
1.2%
Other values (340) 1198
81.4%
Latin
ValueCountFrequency (%)
o 116
 
9.1%
e 111
 
8.7%
t 103
 
8.1%
a 96
 
7.6%
n 81
 
6.4%
i 72
 
5.7%
s 65
 
5.1%
r 62
 
4.9%
l 55
 
4.3%
u 51
 
4.0%
Other values (38) 457
36.0%
Common
ValueCountFrequency (%)
736
67.6%
- 115
 
10.6%
. 51
 
4.7%
; 33
 
3.0%
: 27
 
2.5%
! 19
 
1.7%
) 15
 
1.4%
1 12
 
1.1%
0 12
 
1.1%
2 9
 
0.8%
Other values (19) 60
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2352
61.4%
Hangul 1471
38.4%
Punctuation 4
 
0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
736
31.3%
o 116
 
4.9%
- 115
 
4.9%
e 111
 
4.7%
t 103
 
4.4%
a 96
 
4.1%
n 81
 
3.4%
i 72
 
3.1%
s 65
 
2.8%
r 62
 
2.6%
Other values (63) 795
33.8%
Hangul
ValueCountFrequency (%)
다 42
 
2.9%
이 41
 
2.8%
니 36
 
2.4%
스 30
 
2.0%
는 23
 
1.6%
로 23
 
1.6%
한 21
 
1.4%
하 21
 
1.4%
트 20
 
1.4%
리 17
 
1.2%
Other values (339) 1197
81.4%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
● 1
100.0%

채널채널범주명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
MCN
20 
공공기관
5 
TV
 
2

Length

Max length4
Median length3
Mean length3.1111111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MCN 20
74.1%
공공기관 5
 
18.5%
TV 2
 
7.4%

Length

2023-12-10T23:11:27.245199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:27.454470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 20
74.1%
공공기관 5
 
18.5%
tv 2
 
7.4%

채널채널명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T23:11:27.799837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13
Mean length8.8518519
Min length2

Characters and Unicode

Total characters239
Distinct characters119
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 row수성TV At Suseong
2nd row순당무
3rd row이제이레시피EJ recipe
4th row입금완료
5th row정파카
ValueCountFrequency (%)
수성tv 1
 
2.0%
bbomni 1
 
2.0%
짜부 1
 
2.0%
zzaboo 1
 
2.0%
달님 1
 
2.0%
dalnim 1
 
2.0%
hoje 1
 
2.0%
369랑께 1
 
2.0%
울산 1
 
2.0%
중구 1
 
2.0%
Other values (39) 39
79.6%
2023-12-10T23:11:28.390086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
9.2%
e 12
 
5.0%
o 9
 
3.8%
a 7
 
2.9%
i 7
 
2.9%
S 6
 
2.5%
n 6
 
2.5%
r 5
 
2.1%
이 4
 
1.7%
U 4
 
1.7%
Other values (109) 157
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
35.6%
Lowercase Letter 75
31.4%
Uppercase Letter 53
22.2%
Space Separator 22
 
9.2%
Decimal Number 3
 
1.3%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
4.7%
스 3
 
3.5%
브 2
 
2.4%
단 2
 
2.4%
공 2
 
2.4%
울 2
 
2.4%
케 2
 
2.4%
정 2
 
2.4%
시 2
 
2.4%
채 1
 
1.2%
Other values (63) 63
74.1%
Lowercase Letter
ValueCountFrequency (%)
e 12
16.0%
o 9
12.0%
a 7
 
9.3%
i 7
 
9.3%
n 6
 
8.0%
r 5
 
6.7%
c 3
 
4.0%
t 3
 
4.0%
w 2
 
2.7%
l 2
 
2.7%
Other values (12) 19
25.3%
Uppercase Letter
ValueCountFrequency (%)
S 6
 
11.3%
U 4
 
7.5%
O 4
 
7.5%
A 4
 
7.5%
D 4
 
7.5%
E 3
 
5.7%
B 3
 
5.7%
L 3
 
5.7%
P 3
 
5.7%
T 3
 
5.7%
Other values (9) 16
30.2%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 128
53.6%
Hangul 85
35.6%
Common 26
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
4.7%
스 3
 
3.5%
브 2
 
2.4%
단 2
 
2.4%
공 2
 
2.4%
울 2
 
2.4%
케 2
 
2.4%
정 2
 
2.4%
시 2
 
2.4%
채 1
 
1.2%
Other values (63) 63
74.1%
Latin
ValueCountFrequency (%)
e 12
 
9.4%
o 9
 
7.0%
a 7
 
5.5%
i 7
 
5.5%
S 6
 
4.7%
n 6
 
4.7%
r 5
 
3.9%
U 4
 
3.1%
O 4
 
3.1%
A 4
 
3.1%
Other values (31) 64
50.0%
Common
ValueCountFrequency (%)
22
84.6%
9 1
 
3.8%
6 1
 
3.8%
3 1
 
3.8%
' 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
64.4%
Hangul 85
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
 
14.3%
e 12
 
7.8%
o 9
 
5.8%
a 7
 
4.5%
i 7
 
4.5%
S 6
 
3.9%
n 6
 
3.9%
r 5
 
3.2%
U 4
 
2.6%
O 4
 
2.6%
Other values (36) 72
46.8%
Hangul
ValueCountFrequency (%)
이 4
 
4.7%
스 3
 
3.5%
브 2
 
2.4%
단 2
 
2.4%
공 2
 
2.4%
울 2
 
2.4%
케 2
 
2.4%
정 2
 
2.4%
시 2
 
2.4%
채 1
 
1.2%
Other values (63) 63
74.1%

채널구독자수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257346.07
Minimum0
Maximum2460000
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-10T23:11:28.990690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.2
Q18130
median137000
Q3245000
95-th percentile683500
Maximum2460000
Range2460000
Interquartile range (IQR)236870

Descriptive statistics

Standard deviation486921.28
Coefficient of variation (CV)1.8920874
Kurtosis17.018953
Mean257346.07
Median Absolute Deviation (MAD)126400
Skewness3.8463194
Sum6948344
Variance2.3709233 × 1011
MonotonicityNot monotonic
2023-12-10T23:11:29.233540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 2
 
7.4%
137000 1
 
3.7%
460000 1
 
3.7%
624000 1
 
3.7%
20700 1
 
3.7%
10600 1
 
3.7%
201000 1
 
3.7%
74 1
 
3.7%
12800 1
 
3.7%
156000 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
0 2
7.4%
74 1
3.7%
1280 1
3.7%
1510 1
3.7%
2020 1
3.7%
5660 1
3.7%
10600 1
3.7%
12800 1
3.7%
20700 1
3.7%
31700 1
3.7%
ValueCountFrequency (%)
2460000 1
3.7%
709000 1
3.7%
624000 1
3.7%
608000 1
3.7%
460000 1
3.7%
337000 1
3.7%
255000 1
3.7%
235000 1
3.7%
201000 1
3.7%
196000 1
3.7%

구독자수비공개정보
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size186.0 B
False
25 
True
 
2
ValueCountFrequency (%)
False 25
92.6%
True 2
 
7.4%
2023-12-10T23:11:29.507936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
KR
21 
<NA>
4 
GB
 
1
US
 
1

Length

Max length4
Median length2
Mean length2.2962963
Min length2

Unique

Unique2 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
KR 21
77.8%
<NA> 4
 
14.8%
GB 1
 
3.7%
US 1
 
3.7%

Length

2023-12-10T23:11:29.760874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:30.048943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 21
77.8%
na 4
 
14.8%
gb 1
 
3.7%
us 1
 
3.7%

채널채널키워드명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing7
Missing (%)25.9%
Memory size348.0 B
2023-12-10T23:11:30.849681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length158
Median length50.5
Mean length50.35
Min length2

Characters and Unicode

Total characters1007
Distinct characters237
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row수성구청 수성구 수성 대구시 대구광역시 대구 수성못 범어네거리 대구스타디움 라이온즈파크 어린이회관 범어천 금호강 행정복지센터 공무원 구청 한국 대표 교육 문화 공원 커뮤니티
2nd row요리
3rd row물리치료 체형교정 통증개선 도수치료 correction 안면비대칭 턱관절
4th rowKPOP 골든케이팝 KBS goldenkpop KBS1 KBS2 음악 music 명곡 띵곡 케이팝 아이돌 트로트 열린음악회
5th row서울시설공단 서울월드컵경기장 어린이대공원 청계천 도시고속도로 자동차전용도로 시설관리공단 고척스카이돔 고척돔 장충체육관 따릉이 공공자전거 지하상가 장애인콜택시 서울추모공원 서울시립승화원 공영주차장 서울시 서울
ValueCountFrequency (%)
맛집 4
 
2.0%
minecraft 4
 
2.0%
마인크래프트 4
 
2.0%
대구 3
 
1.5%
lol 3
 
1.5%
makeup 3
 
1.5%
모드 2
 
1.0%
food 2
 
1.0%
포켓몬 2
 
1.0%
픽셀몬 2
 
1.0%
Other values (162) 171
85.5%
2023-12-10T23:11:32.258152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
17.9%
e 40
 
4.0%
a 30
 
3.0%
o 28
 
2.8%
i 19
 
1.9%
r 18
 
1.8%
m 18
 
1.8%
이 18
 
1.8%
t 17
 
1.7%
n 16
 
1.6%
Other values (227) 623
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
46.9%
Lowercase Letter 300
29.8%
Space Separator 180
 
17.9%
Uppercase Letter 36
 
3.6%
Other Punctuation 11
 
1.1%
Decimal Number 7
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
3.8%
대 12
 
2.5%
구 12
 
2.5%
시 11
 
2.3%
리 10
 
2.1%
공 9
 
1.9%
인 9
 
1.9%
크 9
 
1.9%
집 8
 
1.7%
맛 8
 
1.7%
Other values (185) 366
77.5%
Lowercase Letter
ValueCountFrequency (%)
e 40
13.3%
a 30
 
10.0%
o 28
 
9.3%
i 19
 
6.3%
r 18
 
6.0%
m 18
 
6.0%
t 17
 
5.7%
n 16
 
5.3%
l 16
 
5.3%
k 14
 
4.7%
Other values (13) 84
28.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
16.7%
P 5
13.9%
M 5
13.9%
K 4
11.1%
B 3
8.3%
O 3
8.3%
D 3
8.3%
A 2
 
5.6%
R 2
 
5.6%
F 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
9 1
 
14.3%
6 1
 
14.3%
3 1
 
14.3%
2 1
 
14.3%
Space Separator
ValueCountFrequency (%)
180
100.0%
Other Punctuation
ValueCountFrequency (%)
# 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
46.9%
Latin 336
33.4%
Common 199
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 18
 
3.8%
대 12
 
2.5%
구 12
 
2.5%
시 11
 
2.3%
리 10
 
2.1%
공 9
 
1.9%
인 9
 
1.9%
크 9
 
1.9%
집 8
 
1.7%
맛 8
 
1.7%
Other values (185) 366
77.5%
Latin
ValueCountFrequency (%)
e 40
 
11.9%
a 30
 
8.9%
o 28
 
8.3%
i 19
 
5.7%
r 18
 
5.4%
m 18
 
5.4%
t 17
 
5.1%
n 16
 
4.8%
l 16
 
4.8%
k 14
 
4.2%
Other values (24) 120
35.7%
Common
ValueCountFrequency (%)
180
90.5%
# 11
 
5.5%
1 3
 
1.5%
9 1
 
0.5%
6 1
 
0.5%
3 1
 
0.5%
- 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 535
53.1%
Hangul 472
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
33.6%
e 40
 
7.5%
a 30
 
5.6%
o 28
 
5.2%
i 19
 
3.6%
r 18
 
3.4%
m 18
 
3.4%
t 17
 
3.2%
n 16
 
3.0%
l 16
 
3.0%
Other values (32) 153
28.6%
Hangul
ValueCountFrequency (%)
이 18
 
3.8%
대 12
 
2.5%
구 12
 
2.5%
시 11
 
2.3%
리 10
 
2.1%
공 9
 
1.9%
인 9
 
1.9%
크 9
 
1.9%
집 8
 
1.7%
맛 8
 
1.7%
Other values (185) 366
77.5%

영상
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing4
Missing (%)14.8%
Memory size348.0 B
2023-12-10T23:11:32.690135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters253
Distinct characters63
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowSGqyGFJQvG0
2nd rowVMVSffM73rc
3rd rowjS2Diaa4wfE
4th rowJw5PLDLER10
5th rowiQgx0Z814sg
ValueCountFrequency (%)
sgqygfjqvg0 1
 
4.3%
3sjcf2eqm9q 1
 
4.3%
q_xbhjgtwt8 1
 
4.3%
6h743viuvja 1
 
4.3%
5imsr_dsh1g 1
 
4.3%
rc_eky5yies 1
 
4.3%
ijgjbmspado 1
 
4.3%
vfarra_e_q4 1
 
4.3%
tpm1jank7mq 1
 
4.3%
7rascp9wb3y 1
 
4.3%
Other values (13) 13
56.5%
2023-12-10T23:11:33.416270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 10
 
4.0%
Q 7
 
2.8%
i 7
 
2.8%
M 7
 
2.8%
0 7
 
2.8%
1 7
 
2.8%
s 6
 
2.4%
V 6
 
2.4%
y 6
 
2.4%
L 6
 
2.4%
Other values (53) 184
72.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 109
43.1%
Lowercase Letter 92
36.4%
Decimal Number 45
17.8%
Connector Punctuation 6
 
2.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 7
 
7.6%
s 6
 
6.5%
y 6
 
6.5%
w 6
 
6.5%
a 5
 
5.4%
m 5
 
5.4%
q 5
 
5.4%
v 5
 
5.4%
j 5
 
5.4%
e 4
 
4.3%
Other values (16) 38
41.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
 
9.2%
Q 7
 
6.4%
M 7
 
6.4%
V 6
 
5.5%
L 6
 
5.5%
G 6
 
5.5%
E 6
 
5.5%
J 5
 
4.6%
I 5
 
4.6%
U 5
 
4.6%
Other values (15) 46
42.2%
Decimal Number
ValueCountFrequency (%)
0 7
15.6%
1 7
15.6%
4 6
13.3%
3 5
11.1%
5 4
8.9%
7 4
8.9%
2 4
8.9%
9 3
6.7%
8 3
6.7%
6 2
 
4.4%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 201
79.4%
Common 52
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 10
 
5.0%
Q 7
 
3.5%
i 7
 
3.5%
M 7
 
3.5%
s 6
 
3.0%
V 6
 
3.0%
y 6
 
3.0%
L 6
 
3.0%
G 6
 
3.0%
E 6
 
3.0%
Other values (41) 134
66.7%
Common
ValueCountFrequency (%)
0 7
13.5%
1 7
13.5%
_ 6
11.5%
4 6
11.5%
3 5
9.6%
5 4
7.7%
7 4
7.7%
2 4
7.7%
9 3
5.8%
8 3
5.8%
Other values (2) 3
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 10
 
4.0%
Q 7
 
2.8%
i 7
 
2.8%
M 7
 
2.8%
0 7
 
2.8%
1 7
 
2.8%
s 6
 
2.4%
V 6
 
2.4%
y 6
 
2.4%
L 6
 
2.4%
Other values (53) 184
72.7%

Interactions

2023-12-10T23:11:21.338661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:11:33.625891image/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
채널채널범주명1.0001.0001.0001.0001.0001.0000.2570.3430.0001.0001.000
채널채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널구독자수1.0001.0001.0001.0000.2571.0001.0000.0000.3731.0001.000
구독자수비공개정보1.0001.0001.0001.0000.3431.0000.0001.0000.0001.0001.000
채널국가1.0001.0001.0001.0000.0001.0000.3730.0001.0001.0001.000
채널채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-10T23:11:33.945754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구독자수비공개정보채널국가채널채널범주명
구독자수비공개정보1.0000.0000.535
채널국가0.0001.0000.000
채널채널범주명0.5350.0001.000
2023-12-10T23:11:34.201544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널구독자수채널채널범주명구독자수비공개정보채널국가
채널구독자수1.0000.2310.0000.346
채널채널범주명0.2311.0000.5350.000
구독자수비공개정보0.0000.5351.0000.000
채널국가0.3460.0000.0001.000

Missing values

2023-12-10T23:11:21.576020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:11:21.903715image/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.
2023-12-10T23:11:22.212086image/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/UCgdsezxem8jkAC7z8Xw2V7w2021-02-012014-10-30https://yt3.ggpht.com/ytc/AAUvwnhfQiG_3FBUno4rff4rEbf7ZVG5BLIuUb5Ef_k97Q=s88-c-k-c0x00ffffff-no-rj수성구청 공식 유튜브 채널입니다.공공기관수성TV At Suseong0TrueKR수성구청 수성구 수성 대구시 대구광역시 대구 수성못 범어네거리 대구스타디움 라이온즈파크 어린이회관 범어천 금호강 행정복지센터 공무원 구청 한국 대표 교육 문화 공원 커뮤니티SGqyGFJQvG0
1https://www.youtube.com/channel/UCZW0yRW2HK7_fzgL9HQu9ZA2021-02-012013-04-16https://yt3.ggpht.com/ytc/AAUvwnjgoWdYgUZNIj-QSPrAtwYaA2oyhc4YSKcjZGHBgg=s88-c-k-c0x00ffffff-no-rj트위치 스트리머 순당무입니다 주로 롤 위주로 게임을 하며 종합게임도 간간히 진행하고있습니다. 방송 링크 : https:www.twitch.tvliok0485 평일:10:30~새벽 주말:9:00~새벽MCN순당무180000FalseKR<NA><NA>
2https://www.youtube.com/channel/UCAsIWngtJwMJWuXhv8-e92Q2021-02-012014-02-18https://yt3.ggpht.com/ytc/AAUvwnhseC2DCqix2Q1H_eMRVlrZy2ILLl2-RqsUrhCd=s88-c-k-c0x00ffffff-no-rj먹는것도 좋아.만드는것도 좋아. 인생 뭐있습니까? 즐먹입니다 :)MCN이제이레시피EJ recipe337000False<NA>요리VMVSffM73rc
3https://www.youtube.com/channel/UCiii7jUcdg1rcHLKuNzsfnw2021-02-012015-12-10https://yt3.ggpht.com/ytc/AAUvwngd9Fonz5dQY1m0YwCvoTMGJ2VFvWAe5Wx01Yef=s88-c-k-c0x00ffffff-no-rj블로그 이것만 사고 그만 살 거야에서 대 동영상 시대에 대비하기 위하여 개설한 유튜브 채널 http:blog.naver.comsmallbooksMCN입금완료196000FalseKR<NA>jS2Diaa4wfE
4https://www.youtube.com/channel/UC2Th39a6rAoiZWZdJtAUuwQ2021-02-012019-01-19https://yt3.ggpht.com/ytc/AAUvwnhii6Fn2SRsuVQhkuVrUjACsQwUaTT-voL5i8hR=s88-c-k-c0x00ffffff-no-rj연세대학교 물리치료학과 학사; 석사를 마친 국내 물리치료사의 체형교정 건강채널 개인연구소 : 정바른자세연구소 (네이버에서 검색)MCN정파카122000FalseKR물리치료 체형교정 통증개선 도수치료 correction 안면비대칭 턱관절Jw5PLDLER10
5https://www.youtube.com/channel/UCR5cyf8hncN_AaQPfmvmlgA2021-02-012019-11-19https://yt3.ggpht.com/ytc/AAUvwngriyWnMtgBIwsETGRCCkLfYnMXQYsBnjCz1Etu=s88-c-k-c0x00ffffff-no-rj음악과 추억이 가득한 곳! KBS 골든케이팝 입니다. This is the official Youtube channel for KBS GoldenKpop.TVKBS 골든케이팝255000FalseKRKPOP 골든케이팝 KBS goldenkpop KBS1 KBS2 음악 music 명곡 띵곡 케이팝 아이돌 트로트 열린음악회iQgx0Z814sg
6https://www.youtube.com/channel/UCZQPmPXngA0smYk6BOyb1rw2021-02-012011-05-23https://yt3.ggpht.com/ytc/AAUvwnhFdx3zGIKuike1Ky0D78BBWCZNdguNmD3bC6h4bg=s88-c-k-c0x00ffffff-no-rj서울월드컵경기장; 어린이대공원; 청계천; 자동차전용도로(올림픽대로 등) 등을 운영하는 서울시설공단 Youtube 채널입니다.공공기관서울시설공단1510FalseKR서울시설공단 서울월드컵경기장 어린이대공원 청계천 도시고속도로 자동차전용도로 시설관리공단 고척스카이돔 고척돔 장충체육관 따릉이 공공자전거 지하상가 장애인콜택시 서울추모공원 서울시립승화원 공영주차장 서울시 서울vl1SIL1pMUs
7https://www.youtube.com/channel/UCF5yAKCwcLi-C6bxFkSSRTA2021-02-012007-04-27https://yt3.ggpht.com/ytc/AAUvwng99stpnVhimANkSL4Lmcqc7mwQ5cP2kEYXsL51rA=s88-c-k-c0x00ffffff-no-rj게임전문 해설가 락동민 입니다! 다양한 방송국에서 게임방송 진행과 해설로 활동 하고 있습니다~ 구독하기; 좋아요 눌러주시면 저에게 힘이 됩니다 ^^ ----------------------------------------------------------------------------------------- 경력 2012년 - InterColo Cup 스트리트파이터 vs 철권 대회 현장진행 - InterColo Cup 블레이블루 대회 방송 진행 - Dead or alive 5 일본 대회 한국예선 방송 진행. 2013년 - 나이스게임 TV WCG2013 스트리트파이터4 한국예선 해설 - 나이스게임 TV 신규bj 프로젝트 멜티블러드 교육방송 진행 - 나이스게임 TV 신규bj 프로젝트 스트리트파이터4 교육방송 진행 2015년 - 캡콤프로투어 스트리트파이터 4 한국예선 캐스터 - 길티기어 더블엘리미네이션 대회 캐스터 - 헝그리앱tv gg배 진행자 - 넥슨 마비노기 듀얼 토너먼트 예선 진행자 - 스포tv 마비노기 듀얼 해설 - 넥슨 마비노기 듀얼 팀 토너먼트 예선; 본선 진행 2016년 - 인벤방송국 수습캐스터 (롤 브론즈 응원 방송; 박동민의 무한도장 개인방송) - 룬 미디어(게임원정대 콘솔게임 방송; 가두쟁패전 진행) - PlayX4플레이 엑스포 게임쇼 FIFA 16 대학 리그 게임 캐스터 - PS아레나 사이드 토너먼트 캐스터 및 진행MC 트위치 주소 : http:twitch.tvclmovie E-mail 문의 : gamjavas7@naver.comMCN락동민2020FalseKR리코더 게임 캐스터 해설6W0mwD0ULLM
8https://www.youtube.com/channel/UCt15X5eHLwyP8PpNtQTkuDQ2021-02-012016-05-13https://yt3.ggpht.com/ytc/AAUvwngM4E3nnqUQLjxy40zWgvKa_CjfL45zebdymuGmOQ=s88-c-k-c0x00ffffff-no-rjHello; welcome to the Official Channel for DOPA (Notice - For Western fans!) Unfortunately; subtitles are not provided for every video. I am Korean; so creating English translations are difficult. Due to the fact that most of the videos are normally 30 minutes long; it is hard to make captions for every video; but I did open the settings so that users can create subtitles. I will try to make subtitles in the future; but I can't guarantee it. Also; I would like to thank you guys so much for watching these videos and supporting them; it means a lot! ● 문의 메일 : apdopagodd@gmail.comMCNOfficial Dopa608000FalseKR도파 dopa apdo faker lol leagueoflegends skt t1 sktt1 madmovie lol madmovie theshy 더샤이 압도 중국롤 china lolZZX2WDzy-iM
9https://www.youtube.com/channel/UCUHO_Qus2BYhVv9_oIwfHVQ2021-02-012011-11-14https://yt3.ggpht.com/ytc/AAUvwng1f2xdVrqvP0Pbvd1ysUQVrvP7PxMQ56Ny1s9yuw=s88-c-k-c0x00ffffff-no-rjThank you!!!!MCN팬케이Pan K The Pancake Artist2460000FalseKR팬케이크 아트 Pancake PancakeartNuulwZ3E4iE
채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
17https://www.youtube.com/channel/UCSzxLTN8daMoOE9HZga4CWw2021-02-012014-05-10https://yt3.ggpht.com/ytc/AAUvwng91PPOzg8RMon374XNd3U1LF2_WTFQkLRGR93j3Q=s88-c-k-c0x00ffffff-no-rj<NA>MCNhoje35000FalseKRASMR<NA>
18https://www.youtube.com/channel/UCVjAW_GXsPAbXKKEJYPBs0g2021-02-012012-07-07https://yt3.ggpht.com/ytc/AAUvwngcUtyluxFAmM8jRUagltXSagG4Q1qtQ8Qh7Rbh8Q=s88-c-k-c0x00ffffff-no-rj<NA>MCN369랑께156000FalseKR369랑께 마인크래프트 마크 Minecraft 마인크래프트 포켓몬 포켓몬 마인크래프트 픽셀몬 픽셀몬 minecraft pokemon pokemon minecraft pixelmon pixelmon 마인크래프트 모드 모드 Minecraft mods mods 사이 빠꾸 잠뜰 아재민 달이VFarRA_E_q4
19https://www.youtube.com/channel/UCKJBCbIjSLLjtyG_aiSof1w2021-02-012017-08-10https://yt3.ggpht.com/ytc/AAUvwni_P0qFoWV9Bx3hyam8mk4zUKj2q6exRqoNVOTI=s88-c-k-c0x00ffffff-no-rj울산광역시 중구청 동영상 서비스 입니다. 인터넷방송뉴스; 구정 홍보영상 등으로 생생한 정보를 전달해 드리겠습니다. 많이 많이 구독 바랍니다. https:www.youtube.comusjunggu공공기관울산 중구 공식 유튜브 채널0TrueKR<NA>IJgjBmsPADo
20https://www.youtube.com/channel/UClAXDnFl_dYZzqA2U3wX9Cw2021-02-012015-10-05https://yt3.ggpht.com/ytc/AAUvwnhwT6PEOGr6abjqcnpvgKKTxNLnSTWa6eOcH0it5Q=s88-c-k-c0x00ffffff-no-rj소소한 일상속에서의 맛집 소개 This is a channel introducing Korean restaurantsMCN평추 맛집12800FalseKRFOOD 대구맛집 대구 맛집 맛집소개 맛집 소개 평추 평추 맛집 평추맛집 대구유튜버 대구맛집유튜버 대구 유튜버<NA>
21https://www.youtube.com/channel/UCF7DOJqnpKrEn6FGVXTobVA2021-02-012014-11-25https://yt3.ggpht.com/ytc/AAUvwnjjzrXV7mFzb662znSrqTXWJpx51QXED6DWNg=s88-c-k-c0x00ffffff-no-rj<NA>공공기관녹색사업단74False<NA><NA><NA>
22https://www.youtube.com/channel/UCBmYnmnks3mOqRkgmm_frBA2021-02-012017-06-12https://yt3.ggpht.com/ytc/AAUvwni02oAYrW4_bjJB_k1J2npiAHG5y__AwOD-knPdZQ=s88-c-k-c0x00ffffff-no-rjmewoob@gmail.com 연우의 여누시 공간 :) 늘 가까이에있는 여러분만의 크리에이터 연우입니다. 주로 메이크업 튜토리얼; 제품 리뷰하울; 패션 하울이나 일상 브이로그등 다양한 컨텐츠들을 보여드리려 해요 자주 소통하고 색다른 모습으로 자주 봐요 :) Just a person who love makeup and Fashion I'll always prepare new How-tomakeuptutorialHaulreview contents. I hope my video might help some of you to know about Korean-makeup; Tutorial. Thank you sooooo much for watching my Youtube channel and supporting meMCN연우 Yeonwoo201000FalseKR#메이크업 #튜토리얼 #뷰티 #리뷰 #makeup #tutorial #beauty #review #how-to #hair #haulRC_eky5yies
23https://www.youtube.com/channel/UCIYTXbe2YE4pHF27tQbTcVQ2021-02-012010-08-03https://yt3.ggpht.com/ytc/AAUvwngUdb_SE5M3plZd2fzyDe44KwR0Eo5qX4q-BeFV4A=s88-c-k-c0x00ffffff-no-rj안녕하세요~ 러시아에서 온 원더율입니다. 한국생활 하면서 재미있는 일과 문화차이 점 영상으로 남깁니다. 인스타그램: https:www.instagram.comyang__yuliaMCN원더율wonderYul10600FalseKR외국인 한국생활 직장인유튜버 러시아여자 문화차이5IMSr_dSh1g
24https://www.youtube.com/channel/UCeA8_DtmDgEvHBTjrUAluvA2021-02-012017-02-15https://yt3.ggpht.com/ytc/AAUvwniA53bR1R2aKdxWMHUvvIhHmkJBoP4ETr6fR5Kf=s88-c-k-c0x00ffffff-no-rj동갑내기 친구들의 맛집탐방&먹부림! 둘이서도 잘 먹고 잘 놀러다닙니다 ^ㅅ^ 가보고 싶은 곳; 먹고 싶은 것 추천 받아요!MCN투비20700False<NA>먹방 데이트 맛집6h743viUVjA
25https://www.youtube.com/channel/UCQabORQKQRHP-iUqe-xIFvg2021-02-012015-01-26https://yt3.ggpht.com/ytc/AAUvwniBhVjf-NGbbdoBbDyZJCp8AkUCbREElyp6mk-0TQ=s88-c-k-c0x00ffffff-no-rj뉴스에는 위아래가 없다! SBS 스브스뉴스TV스브스뉴스 SUBUSU NEWS624000FalseKR스브스뉴스 뉴스에는 위아래가 없다q_XbhJGTWT8
26https://www.youtube.com/channel/UCh7eZRa60GaY719mThEuakQ2021-02-012012-11-02https://yt3.ggpht.com/ytc/AAUvwnhn3oocIniAo6C84-8bmWxEkMotZd7Vbe7yXd-EncI=s88-c-k-c0x00ffffff-no-rjKorean living in the US I wanna share plenty of dessert recipes hope you enjoy my videos :) For business inquiries: creator-jadore@sandboxnetwork.net 안녕하세요; 자도르입니다. 제가 만든 영상과 레시피로 많은 분들이 즐겁게 베이킹 하실 수 있다면 저에게는 더없는 행복이자 기쁨일 것 같아요. 집에서도 베이킹클래스를 듣는 것처럼 예쁘고 맛있는 디저트 만드실 수 있도록 꼼꼼하고 친절한 영상 준비할게요. 앞으로 맛있는 레시피들 많이 소개해 드릴테니 기대해 주세요. :) 비즈니스 관련 문의: creator-jadore@sandboxnetwork.netMCNJ'adore자도르460000FalseUS베이킹 요리 Food 레시피 ASMRYwbSyUqOAtQ