Overview

Dataset statistics

Number of variables15
Number of observations26
Missing cells4
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory134.1 B

Variable types

Text4
Categorical5
DateTime1
Numeric5

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/b002ebd1-cfaa-44d9-bd84-bee1fadeca35

Alerts

인기지수호감도 has constant value ""Constant
인기지수불호도 has constant value ""Constant
불호도표준점수 is highly overall correlated with 인기지수수집일자 and 1 other fieldsHigh correlation
인기지수수집일자 is highly overall correlated with 불호도표준점수High correlation
불호도 is highly overall correlated with 불호도표준점수High correlation
채널인기지수 is highly overall correlated with 채널호감도 and 3 other fieldsHigh correlation
채널호감도 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
호감도표준점수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수표준점수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수수집일자 is highly imbalanced (76.5%)Imbalance
인기지수채널설명 has 4 (15.4%) missing valuesMissing
인기지수채널ID has unique valuesUnique
인기지수채널명 has unique valuesUnique
인기지수채널생성일자 has unique valuesUnique
인기지수채널아이콘 has unique valuesUnique
채널인기지수 has unique valuesUnique
채널호감도 has 3 (11.5%) zerosZeros
호감도표준점수 has 1 (3.8%) zerosZeros

Reproduction

Analysis started2023-12-10 14:13:39.303477
Analysis finished2023-12-10 14:13:45.106894
Duration5.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인기지수채널ID
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T23:13:45.406766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters624
Distinct characters64
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowUC0hk2D145ogyBYMKjylWkkw
2nd rowUC256C9U-lYhr5-Or7vvCrvQ
3rd rowUC1YklYBrFcCLF8Pmz6llQTA
4th rowUC-i2CYHvScX1It3noNbhWxw
5th rowUC2XRTuTf0tnqcNBcWeaCVFg
ValueCountFrequency (%)
uc0hk2d145ogybymkjylwkkw 1
 
3.8%
uc256c9u-lyhr5-or7vvcrvq 1
 
3.8%
ucdd6ckpdlx9bgcgr9gm3_uw 1
 
3.8%
uccqwk7lq2yggajy6xullccw 1
 
3.8%
ucbu4ihsl_bh_nq_7xhh8plq 1
 
3.8%
uc12by9i1lurqcvt-izopvvw 1
 
3.8%
uc4vljnoozzkrhhb5s5rv1mw 1
 
3.8%
uca7wtdf9byurw1bowr00e6g 1
 
3.8%
uc3izksevpdzpsbawxbxunda 1
 
3.8%
uc7itqntfg_qs1ufcmbgikkw 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T23:13:45.991255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 36
 
5.8%
U 30
 
4.8%
I 19
 
3.0%
w 15
 
2.4%
l 15
 
2.4%
g 15
 
2.4%
Y 13
 
2.1%
6 13
 
2.1%
h 13
 
2.1%
Q 13
 
2.1%
Other values (54) 442
70.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 278
44.6%
Lowercase Letter 236
37.8%
Decimal Number 93
 
14.9%
Dash Punctuation 9
 
1.4%
Connector Punctuation 8
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 36
 
12.9%
U 30
 
10.8%
I 19
 
6.8%
Y 13
 
4.7%
Q 13
 
4.7%
B 11
 
4.0%
A 11
 
4.0%
V 11
 
4.0%
P 10
 
3.6%
F 10
 
3.6%
Other values (16) 114
41.0%
Lowercase Letter
ValueCountFrequency (%)
w 15
 
6.4%
l 15
 
6.4%
g 15
 
6.4%
h 13
 
5.5%
c 13
 
5.5%
u 12
 
5.1%
t 11
 
4.7%
r 10
 
4.2%
v 10
 
4.2%
k 10
 
4.2%
Other values (16) 112
47.5%
Decimal Number
ValueCountFrequency (%)
6 13
14.0%
1 12
12.9%
7 12
12.9%
5 11
11.8%
2 11
11.8%
4 8
8.6%
9 7
7.5%
0 7
7.5%
3 7
7.5%
8 5
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 514
82.4%
Common 110
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 36
 
7.0%
U 30
 
5.8%
I 19
 
3.7%
w 15
 
2.9%
l 15
 
2.9%
g 15
 
2.9%
Y 13
 
2.5%
h 13
 
2.5%
Q 13
 
2.5%
c 13
 
2.5%
Other values (42) 332
64.6%
Common
ValueCountFrequency (%)
6 13
11.8%
1 12
10.9%
7 12
10.9%
5 11
10.0%
2 11
10.0%
- 9
8.2%
_ 8
7.3%
4 8
7.3%
9 7
6.4%
0 7
6.4%
Other values (2) 12
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 36
 
5.8%
U 30
 
4.8%
I 19
 
3.0%
w 15
 
2.4%
l 15
 
2.4%
g 15
 
2.4%
Y 13
 
2.1%
6 13
 
2.1%
h 13
 
2.1%
Q 13
 
2.1%
Other values (54) 442
70.8%

인기지수채널명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T23:13:46.338179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13.5
Mean length10.576923
Min length2

Characters and Unicode

Total characters275
Distinct characters140
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row신속
2nd rowThat Korean Girl 돌돌콩
3rd row브라더쿡 BrotherCook
4th rowMYUNG SUN뭉순임당
5th rowHale In Ocean 정혜일
ValueCountFrequency (%)
mbc 2
 
4.0%
2
 
4.0%
신속 1
 
2.0%
that 1
 
2.0%
대한민국 1
 
2.0%
경찰청 1
 
2.0%
world 1
 
2.0%
닭갈비tv 1
 
2.0%
미스터리 1
 
2.0%
심야괴담회 1
 
2.0%
Other values (38) 38
76.0%
2023-12-10T23:13:46.858695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
8.7%
a 10
 
3.6%
o 10
 
3.6%
i 9
 
3.3%
n 8
 
2.9%
e 7
 
2.5%
r 7
 
2.5%
l 5
 
1.8%
K 5
 
1.8%
C 4
 
1.5%
Other values (130) 186
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
41.5%
Lowercase Letter 85
30.9%
Uppercase Letter 45
 
16.4%
Space Separator 24
 
8.7%
Connector Punctuation 2
 
0.7%
Other Punctuation 2
 
0.7%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 3
 
2.6%
인 3
 
2.6%
라 3
 
2.6%
한 3
 
2.6%
차 2
 
1.8%
단 2
 
1.8%
지 2
 
1.8%
안 2
 
1.8%
니 2
 
1.8%
포 2
 
1.8%
Other values (85) 90
78.9%
Lowercase Letter
ValueCountFrequency (%)
a 10
11.8%
o 10
11.8%
i 9
10.6%
n 8
9.4%
e 7
8.2%
r 7
8.2%
l 5
 
5.9%
u 4
 
4.7%
t 4
 
4.7%
h 4
 
4.7%
Other values (9) 17
20.0%
Uppercase Letter
ValueCountFrequency (%)
K 5
11.1%
C 4
 
8.9%
L 4
 
8.9%
B 4
 
8.9%
D 3
 
6.7%
M 3
 
6.7%
O 3
 
6.7%
T 3
 
6.7%
F 2
 
4.4%
H 2
 
4.4%
Other values (9) 12
26.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 130
47.3%
Hangul 114
41.5%
Common 31
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 3
 
2.6%
인 3
 
2.6%
라 3
 
2.6%
한 3
 
2.6%
차 2
 
1.8%
단 2
 
1.8%
지 2
 
1.8%
안 2
 
1.8%
니 2
 
1.8%
포 2
 
1.8%
Other values (85) 90
78.9%
Latin
ValueCountFrequency (%)
a 10
 
7.7%
o 10
 
7.7%
i 9
 
6.9%
n 8
 
6.2%
e 7
 
5.4%
r 7
 
5.4%
l 5
 
3.8%
K 5
 
3.8%
C 4
 
3.1%
L 4
 
3.1%
Other values (28) 61
46.9%
Common
ValueCountFrequency (%)
24
77.4%
_ 2
 
6.5%
& 1
 
3.2%
: 1
 
3.2%
] 1
 
3.2%
[ 1
 
3.2%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
58.5%
Hangul 114
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
 
14.9%
a 10
 
6.2%
o 10
 
6.2%
i 9
 
5.6%
n 8
 
5.0%
e 7
 
4.3%
r 7
 
4.3%
l 5
 
3.1%
K 5
 
3.1%
C 4
 
2.5%
Other values (35) 72
44.7%
Hangul
ValueCountFrequency (%)
국 3
 
2.6%
인 3
 
2.6%
라 3
 
2.6%
한 3
 
2.6%
차 2
 
1.8%
단 2
 
1.8%
지 2
 
1.8%
안 2
 
1.8%
니 2
 
1.8%
포 2
 
1.8%
Other values (85) 90
78.9%

인기지수수집일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
2021-02-28
25 
2021-02-01
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row2021-02-01
2nd row2021-02-28
3rd row2021-02-28
4th row2021-02-28
5th row2021-02-28

Common Values

ValueCountFrequency (%)
2021-02-28 25
96.2%
2021-02-01 1
 
3.8%

Length

2023-12-10T23:13:47.092032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:13:47.242754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-28 25
96.2%
2021-02-01 1
 
3.8%

인기지수채널설명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing4
Missing (%)15.4%
Memory size340.0 B
2023-12-10T23:13:47.681615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length620
Median length54
Mean length103.59091
Min length10

Characters and Unicode

Total characters2279
Distinct characters312
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row게임에 진심인 남자
2nd row요리가 취미인 자취생의 만원으로 맛있는 한끼식사 하기 Thank you for visiting youtube brothercook :D
3rd row안녕하세요. 뭉순임당임당. 비즈니스 문의 : myungsun@sandboxnetwork.net
4th row세상이란 바다 속에 살고있는 Hale In Ocean 정혜일입니다. 노래를 만들고; 노래를 부릅니다.
5th row도그캐슬 코리아 대표 #도캐철이 #개공화국 저자 유튜브 채널2개 방송중 네이버TV 채널2개 방송중 네이버에 #도그캐슬 검색 아프리카TV BJ;도캐철이 네이버카페 #도그캐슬 도그캐슬 쇼룸: 서울시 강남구 청담동 20-18 TEL: 02-514-5051 (상담시간 오전 9시 ~ 밤 9시) dogcastle US Teacup puppies & dogcastle ▶WE SHIP WORLDWIDE !! Healthy ALWAYS New available puppies are updated with unedited pictures and videos. Never misrepresent Age & Size. Interested?. **Instagram @dogcastle_us **Email:ehrmzptmf@gmail.com **Paypal; Western Union; Bank Tranfer are all acceptable For more info; Visit Homepage http:www.dogcastle.co.kr Instagram https:www.instagram.comdogcastle_us Facebook https:www.facebook.comdokaecheo
ValueCountFrequency (%)
19
 
5.0%
to 6
 
1.6%
것들 6
 
1.6%
things 5
 
1.3%
유튜브 5
 
1.3%
채널입니다 5
 
1.3%
want 5
 
1.3%
i 5
 
1.3%
싶은 5
 
1.3%
도그캐슬 4
 
1.1%
Other values (278) 313
82.8%
2023-12-10T23:13:48.679436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
401
 
17.6%
. 84
 
3.7%
e 80
 
3.5%
t 79
 
3.5%
a 75
 
3.3%
o 54
 
2.4%
n 54
 
2.4%
i 48
 
2.1%
s 44
 
1.9%
r 39
 
1.7%
Other values (302) 1321
58.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 810
35.5%
Other Letter 708
31.1%
Space Separator 401
17.6%
Other Punctuation 156
 
6.8%
Uppercase Letter 135
 
5.9%
Decimal Number 40
 
1.8%
Dash Punctuation 8
 
0.4%
Modifier Symbol 6
 
0.3%
Connector Punctuation 4
 
0.2%
Math Symbol 4
 
0.2%
Other values (3) 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
니 22
 
3.1%
다 20
 
2.8%
이 16
 
2.3%
리 15
 
2.1%
들 12
 
1.7%
의 12
 
1.7%
고 11
 
1.6%
입 11
 
1.6%
하 10
 
1.4%
는 10
 
1.4%
Other values (227) 569
80.4%
Lowercase Letter
ValueCountFrequency (%)
e 80
 
9.9%
t 79
 
9.8%
a 75
 
9.3%
o 54
 
6.7%
n 54
 
6.7%
i 48
 
5.9%
s 44
 
5.4%
r 39
 
4.8%
m 38
 
4.7%
c 33
 
4.1%
Other values (15) 266
32.8%
Uppercase Letter
ValueCountFrequency (%)
I 19
14.1%
T 15
 
11.1%
A 10
 
7.4%
L 10
 
7.4%
S 9
 
6.7%
E 8
 
5.9%
B 7
 
5.2%
O 6
 
4.4%
W 6
 
4.4%
H 6
 
4.4%
Other values (12) 39
28.9%
Other Punctuation
ValueCountFrequency (%)
. 84
53.8%
: 20
 
12.8%
; 16
 
10.3%
! 10
 
6.4%
* 8
 
5.1%
@ 7
 
4.5%
# 4
 
2.6%
& 4
 
2.6%
' 2
 
1.3%
? 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 9
22.5%
1 6
15.0%
7 6
15.0%
5 4
10.0%
0 4
10.0%
9 4
10.0%
3 2
 
5.0%
8 2
 
5.0%
4 2
 
5.0%
6 1
 
2.5%
Space Separator
ValueCountFrequency (%)
401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 945
41.5%
Hangul 708
31.1%
Common 626
27.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
니 22
 
3.1%
다 20
 
2.8%
이 16
 
2.3%
리 15
 
2.1%
들 12
 
1.7%
의 12
 
1.7%
고 11
 
1.6%
입 11
 
1.6%
하 10
 
1.4%
는 10
 
1.4%
Other values (227) 569
80.4%
Latin
ValueCountFrequency (%)
e 80
 
8.5%
t 79
 
8.4%
a 75
 
7.9%
o 54
 
5.7%
n 54
 
5.7%
i 48
 
5.1%
s 44
 
4.7%
r 39
 
4.1%
m 38
 
4.0%
c 33
 
3.5%
Other values (37) 401
42.4%
Common
ValueCountFrequency (%)
401
64.1%
. 84
 
13.4%
: 20
 
3.2%
; 16
 
2.6%
! 10
 
1.6%
2 9
 
1.4%
- 8
 
1.3%
* 8
 
1.3%
@ 7
 
1.1%
1 6
 
1.0%
Other values (18) 57
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1570
68.9%
Hangul 708
31.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
401
25.5%
. 84
 
5.4%
e 80
 
5.1%
t 79
 
5.0%
a 75
 
4.8%
o 54
 
3.4%
n 54
 
3.4%
i 48
 
3.1%
s 44
 
2.8%
r 39
 
2.5%
Other values (64) 612
39.0%
Hangul
ValueCountFrequency (%)
니 22
 
3.1%
다 20
 
2.8%
이 16
 
2.3%
리 15
 
2.1%
들 12
 
1.7%
의 12
 
1.7%
고 11
 
1.6%
입 11
 
1.6%
하 10
 
1.4%
는 10
 
1.4%
Other values (227) 569
80.4%
Geometric Shapes
ValueCountFrequency (%)
▶ 1
100.0%

인기지수채널생성일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2008-06-04 00:00:00
Maximum2019-03-26 00:00:00
2023-12-10T23:13:49.122151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:49.365647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인기지수채널아이콘
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T23:13:50.413134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length98
Mean length97.692308
Min length96

Characters and Unicode

Total characters2540
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AAUvwng7nyuNGYRDWI3WVJlCLireI2DNB9hON7jdFu16=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwngqhZxtgAZAgNbygp7OM9yeOok1ufyySzd83NeI=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwniasN4wO7vu2ewhUsYHJV0qXUHX0NbveB-03FiG2A=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwnjUCvj6Du0QxlIV6Gpk-Bs5gtqCUwPT-Mt9oF1J=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnhdXxPnj7vV1aHo4Nxjk7BqMmIsEnJkLiiVhjJBiw=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwng7nyungyrdwi3wvjlclirei2dnb9hon7jdfu16=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwngqhzxtgazagnbygp7om9yeook1ufyyszd83nei=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnj9givgrcjbynrq9ckyxwsd75moaw3wzbbsofjyha=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnitxc5uz87wyekiwcyi2nokdor41a1vi63gmqxs8g=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwngh5rqtfvcncydjn5aqj-9owtqeqpsahvmlagrr3q=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnjr4abmeog8gtbpyo9buv33vo0xmcnlosp03mep6w=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnj86zka8kth4vpagdbmahrdkrqzkymzna0cxr3z9w=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnhstmappdrg7e4nm7-dbt52qplq6ya2gipxmcbluq=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnhordofw56zfahqfu6xv1genznw2e4naj9nu-93zg=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwngpqncgrqavpjalod_kcaafloyco5dbve47pys8ya=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T23:13:51.321691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 163
 
6.4%
t 143
 
5.6%
- 141
 
5.6%
c 115
 
4.5%
/ 104
 
4.1%
0 91
 
3.6%
p 80
 
3.1%
y 75
 
3.0%
g 75
 
3.0%
A 75
 
3.0%
Other values (58) 1478
58.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1390
54.7%
Uppercase Letter 491
 
19.3%
Decimal Number 302
 
11.9%
Other Punctuation 182
 
7.2%
Dash Punctuation 141
 
5.6%
Math Symbol 26
 
1.0%
Connector Punctuation 8
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 163
 
11.7%
t 143
 
10.3%
c 115
 
8.3%
p 80
 
5.8%
y 75
 
5.4%
g 75
 
5.4%
o 74
 
5.3%
n 72
 
5.2%
h 68
 
4.9%
s 64
 
4.6%
Other values (16) 461
33.2%
Uppercase Letter
ValueCountFrequency (%)
A 75
 
15.3%
U 41
 
8.4%
F 23
 
4.7%
G 23
 
4.7%
N 22
 
4.5%
D 22
 
4.5%
C 20
 
4.1%
Q 19
 
3.9%
H 18
 
3.7%
J 18
 
3.7%
Other values (16) 210
42.8%
Decimal Number
ValueCountFrequency (%)
0 91
30.1%
8 62
20.5%
3 43
14.2%
9 20
 
6.6%
7 18
 
6.0%
6 17
 
5.6%
4 16
 
5.3%
5 14
 
4.6%
1 12
 
4.0%
2 9
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 104
57.1%
. 52
28.6%
: 26
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Math Symbol
ValueCountFrequency (%)
= 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1881
74.1%
Common 659
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 163
 
8.7%
t 143
 
7.6%
c 115
 
6.1%
p 80
 
4.3%
y 75
 
4.0%
g 75
 
4.0%
A 75
 
4.0%
o 74
 
3.9%
n 72
 
3.8%
h 68
 
3.6%
Other values (42) 941
50.0%
Common
ValueCountFrequency (%)
- 141
21.4%
/ 104
15.8%
0 91
13.8%
8 62
9.4%
. 52
 
7.9%
3 43
 
6.5%
= 26
 
3.9%
: 26
 
3.9%
9 20
 
3.0%
7 18
 
2.7%
Other values (6) 76
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 163
 
6.4%
t 143
 
5.6%
- 141
 
5.6%
c 115
 
4.5%
/ 104
 
4.1%
0 91
 
3.6%
p 80
 
3.1%
y 75
 
3.0%
g 75
 
3.0%
A 75
 
3.0%
Other values (58) 1478
58.2%

인기지수호감도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
100.0%

Length

2023-12-10T23:13:51.556387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:13:51.728912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

인기지수불호도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
100.0%

Length

2023-12-10T23:13:51.876644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:13:52.039516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

채널인기지수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.024231
Minimum3.24
Maximum266.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T23:13:52.208237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.24
5-th percentile4.2925
Q113.0975
median21.505
Q336.6975
95-th percentile79.4225
Maximum266.17
Range262.93
Interquartile range (IQR)23.6

Descriptive statistics

Standard deviation50.983253
Coefficient of variation (CV)1.4556566
Kurtosis18.18779
Mean35.024231
Median Absolute Deviation (MAD)11.58
Skewness4.024308
Sum910.63
Variance2599.2921
MonotonicityNot monotonic
2023-12-10T23:13:52.405648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
23.81 1
 
3.8%
62.78 1
 
3.8%
21.23 1
 
3.8%
266.17 1
 
3.8%
10.58 1
 
3.8%
3.24 1
 
3.8%
37.45 1
 
3.8%
9.27 1
 
3.8%
16.28 1
 
3.8%
48.98 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
3.24 1
3.8%
4.29 1
3.8%
4.3 1
3.8%
5.11 1
3.8%
9.27 1
3.8%
10.58 1
3.8%
12.42 1
3.8%
15.13 1
3.8%
16.28 1
3.8%
17.55 1
3.8%
ValueCountFrequency (%)
266.17 1
3.8%
84.97 1
3.8%
62.78 1
3.8%
51.64 1
3.8%
48.98 1
3.8%
37.71 1
3.8%
37.45 1
3.8%
34.44 1
3.8%
32.14 1
3.8%
27.37 1
3.8%

채널호감도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9615385
Minimum0
Maximum10
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T23:13:52.607678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q34
95-th percentile8.25
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5056858
Coefficient of variation (CV)0.84607574
Kurtosis2.0440384
Mean2.9615385
Median Absolute Deviation (MAD)1.5
Skewness1.3692945
Sum77
Variance6.2784615
MonotonicityNot monotonic
2023-12-10T23:13:52.826332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 5
19.2%
3 5
19.2%
1 5
19.2%
4 3
11.5%
0 3
11.5%
5 2
 
7.7%
6 1
 
3.8%
10 1
 
3.8%
9 1
 
3.8%
ValueCountFrequency (%)
0 3
11.5%
1 5
19.2%
2 5
19.2%
3 5
19.2%
4 3
11.5%
5 2
 
7.7%
6 1
 
3.8%
9 1
 
3.8%
10 1
 
3.8%
ValueCountFrequency (%)
10 1
 
3.8%
9 1
 
3.8%
6 1
 
3.8%
5 2
 
7.7%
4 3
11.5%
3 5
19.2%
2 5
19.2%
1 5
19.2%
0 3
11.5%

불호도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
17 
3
7 
6
 
1
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 17
65.4%
3 7
26.9%
6 1
 
3.8%
9 1
 
3.8%

Length

2023-12-10T23:13:53.032582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:13:53.217988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
65.4%
3 7
26.9%
6 1
 
3.8%
9 1
 
3.8%

인기지수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4461538
Minimum0.29
Maximum26.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T23:13:53.403854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.4
Q11.2675
median2.105
Q33.615
95-th percentile7.85
Maximum26.38
Range26.09
Interquartile range (IQR)2.3475

Descriptive statistics

Standard deviation5.0584963
Coefficient of variation (CV)1.4678672
Kurtosis18.187134
Mean3.4461538
Median Absolute Deviation (MAD)1.15
Skewness4.0242004
Sum89.6
Variance25.588385
MonotonicityNot monotonic
2023-12-10T23:13:53.686403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.4 2
 
7.7%
2.33 1
 
3.8%
1.88 1
 
3.8%
2.08 1
 
3.8%
26.38 1
 
3.8%
1.02 1
 
3.8%
0.29 1
 
3.8%
3.69 1
 
3.8%
0.89 1
 
3.8%
1.59 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
0.29 1
3.8%
0.4 2
7.7%
0.48 1
3.8%
0.89 1
3.8%
1.02 1
3.8%
1.2 1
3.8%
1.47 1
3.8%
1.59 1
3.8%
1.71 1
3.8%
1.88 1
3.8%
ValueCountFrequency (%)
26.38 1
3.8%
8.4 1
3.8%
6.2 1
3.8%
5.1 1
3.8%
4.83 1
3.8%
3.71 1
3.8%
3.69 1
3.8%
3.39 1
3.8%
3.16 1
3.8%
2.69 1
3.8%

호감도표준점수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.15423077
Minimum-0.83
Maximum1.61
Zeros1
Zeros (%)3.8%
Negative18
Negative (%)69.2%
Memory size366.0 B
2023-12-10T23:13:53.884562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.83
5-th percentile-0.78
Q1-0.5975
median-0.235
Q30.045
95-th percentile1.0025
Maximum1.61
Range2.44
Interquartile range (IQR)0.6425

Descriptive statistics

Standard deviation0.58804879
Coefficient of variation (CV)-3.8127852
Kurtosis2.5191443
Mean-0.15423077
Median Absolute Deviation (MAD)0.35
Skewness1.4782064
Sum-4.01
Variance0.34580138
MonotonicityNot monotonic
2023-12-10T23:13:54.088983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-0.11 3
 
11.5%
-0.78 2
 
7.7%
-0.22 2
 
7.7%
-0.39 2
 
7.7%
-0.61 2
 
7.7%
-0.83 1
 
3.8%
0.39 1
 
3.8%
-0.67 1
 
3.8%
1.17 1
 
3.8%
0.28 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
-0.83 1
3.8%
-0.78 2
7.7%
-0.72 1
3.8%
-0.67 1
3.8%
-0.61 2
7.7%
-0.56 1
3.8%
-0.5 1
3.8%
-0.39 2
7.7%
-0.33 1
3.8%
-0.25 1
3.8%
ValueCountFrequency (%)
1.61 1
 
3.8%
1.17 1
 
3.8%
0.5 1
 
3.8%
0.39 1
 
3.8%
0.28 1
 
3.8%
0.17 1
 
3.8%
0.06 1
 
3.8%
0.0 1
 
3.8%
-0.11 3
11.5%
-0.22 2
7.7%

불호도표준점수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
-1.0
16 
0.0
7 
-0.5
 
1
1.0
 
1
2.0
 
1

Length

Max length4
Median length4
Mean length3.6538462
Min length3

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row-0.5
2nd row-1.0
3rd row-1.0
4th row-1.0
5th row0.0

Common Values

ValueCountFrequency (%)
-1.0 16
61.5%
0.0 7
26.9%
-0.5 1
 
3.8%
1.0 1
 
3.8%
2.0 1
 
3.8%

Length

2023-12-10T23:13:54.292023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:13:54.481394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 17
65.4%
0.0 7
26.9%
0.5 1
 
3.8%
2.0 1
 
3.8%

인기지수표준점수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.11115385
Minimum-0.77
Maximum4.65
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)80.8%
Memory size366.0 B
2023-12-10T23:13:54.661074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.77
5-th percentile-0.74
Q1-0.565
median-0.39
Q3-0.075
95-th percentile0.805
Maximum4.65
Range5.42
Interquartile range (IQR)0.49

Descriptive statistics

Standard deviation1.050266
Coefficient of variation (CV)-9.4487596
Kurtosis18.179089
Mean-0.11115385
Median Absolute Deviation (MAD)0.235
Skewness4.0233847
Sum-2.89
Variance1.1030586
MonotonicityNot monotonic
2023-12-10T23:13:54.877301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-0.06 2
 
7.7%
-0.74 2
 
7.7%
-0.34 1
 
3.8%
-0.44 1
 
3.8%
-0.4 1
 
3.8%
4.65 1
 
3.8%
-0.61 1
 
3.8%
-0.77 1
 
3.8%
-0.64 1
 
3.8%
-0.5 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
-0.77 1
3.8%
-0.74 2
7.7%
-0.73 1
3.8%
-0.64 1
3.8%
-0.61 1
3.8%
-0.58 1
3.8%
-0.52 1
3.8%
-0.5 1
3.8%
-0.47 1
3.8%
-0.44 1
3.8%
ValueCountFrequency (%)
4.65 1
3.8%
0.92 1
3.8%
0.46 1
3.8%
0.23 1
3.8%
0.18 1
3.8%
-0.06 2
7.7%
-0.12 1
3.8%
-0.17 1
3.8%
-0.27 1
3.8%
-0.34 1
3.8%

Interactions

2023-12-10T23:13:43.558759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:40.343297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:41.102558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:41.844878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.693290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:43.883729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:40.481448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:41.232825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.014428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.832298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:44.063203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:40.663833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:41.385991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.156942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.973999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:44.213999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:40.823816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:41.519774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.344203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:43.144534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:44.364455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:40.971396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:41.677328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:42.508847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:43.325356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:13:55.059079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
인기지수채널ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수수집일자1.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0001.0000.000
인기지수채널설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널아이콘1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널인기지수1.0001.0000.0001.0001.0001.0001.0000.8160.0001.0000.7230.0001.000
채널호감도1.0001.0000.0001.0001.0001.0000.8161.0000.6590.8160.9200.5620.816
불호도1.0001.0000.0001.0001.0001.0000.0000.6591.0000.0000.8361.0000.000
인기지수1.0001.0000.0001.0001.0001.0001.0000.8160.0001.0000.7230.0001.000
호감도표준점수1.0001.0000.0001.0001.0001.0000.7230.9200.8360.7231.0000.5620.723
불호도표준점수1.0001.0001.0001.0001.0001.0000.0000.5621.0000.0000.5621.0000.000
인기지수표준점수1.0001.0000.0001.0001.0001.0001.0000.8160.0001.0000.7230.0001.000
2023-12-10T23:13:55.335335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
불호도표준점수인기지수수집일자불호도
불호도표준점수1.0000.9350.977
인기지수수집일자0.9351.0000.000
불호도0.9770.0001.000
2023-12-10T23:13:55.517145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널인기지수채널호감도인기지수호감도표준점수인기지수표준점수인기지수수집일자불호도불호도표준점수
채널인기지수1.0000.6421.0000.6711.0000.0000.0000.000
채널호감도0.6421.0000.6370.9890.6370.0000.4630.374
인기지수1.0000.6371.0000.6671.0000.0000.0000.000
호감도표준점수0.6710.9890.6671.0000.6670.0000.4350.329
인기지수표준점수1.0000.6371.0000.6671.0000.0000.0000.000
인기지수수집일자0.0000.0000.0000.0000.0001.0000.0000.935
불호도0.0000.4630.0000.4350.0000.0001.0000.977
불호도표준점수0.0000.3740.0000.3290.0000.9350.9771.000

Missing values

2023-12-10T23:13:44.584310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:13:44.941346image/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.

Sample

인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
0UC0hk2D145ogyBYMKjylWkkw신속2021-02-01게임에 진심인 남자2013-03-16https://yt3.ggpht.com/ytc/AAUvwng7nyuNGYRDWI3WVJlCLireI2DNB9hON7jdFu16=s88-c-k-c0x00ffffff-no-rj0023.81202.33-0.25-0.5-0.34
1UC256C9U-lYhr5-Or7vvCrvQThat Korean Girl 돌돌콩2021-02-28<NA>2015-11-07https://yt3.ggpht.com/ytc/AAUvwngqhZxtgAZAgNbygp7OM9yeOok1ufyySzd83NeI=s88-c-k-c0x00ffffff-no-rj0084.97608.40.5-1.00.92
2UC1YklYBrFcCLF8Pmz6llQTA브라더쿡 BrotherCook2021-02-28요리가 취미인 자취생의 만원으로 맛있는 한끼식사 하기 Thank you for visiting youtube brothercook :D2018-08-25https://yt3.ggpht.com/ytc/AAUvwniasN4wO7vu2ewhUsYHJV0qXUHX0NbveB-03FiG2A=s88-c-k-c0x00ffffff-no-rj0037.71303.71-0.11-1.0-0.06
3UC-i2CYHvScX1It3noNbhWxwMYUNG SUN뭉순임당2021-02-28안녕하세요. 뭉순임당임당. 비즈니스 문의 : myungsun@sandboxnetwork.net2019-03-05https://yt3.ggpht.com/ytc/AAUvwnjUCvj6Du0QxlIV6Gpk-Bs5gtqCUwPT-Mt9oF1J=s88-c-k-c0x00ffffff-no-rj0051.64405.10.06-1.00.23
4UC2XRTuTf0tnqcNBcWeaCVFgHale In Ocean 정혜일2021-02-28세상이란 바다 속에 살고있는 Hale In Ocean 정혜일입니다. 노래를 만들고; 노래를 부릅니다.2017-05-13https://yt3.ggpht.com/ytc/AAUvwnhdXxPnj7vV1aHo4Nxjk7BqMmIsEnJkLiiVhjJBiw=s88-c-k-c0x00ffffff-no-rj0023.2432.270.170.0-0.36
5UC2uASp3Una1shzVIGpJ2d5w포메라니안 도그캐슬2021-02-28도그캐슬 코리아 대표 #도캐철이 #개공화국 저자 유튜브 채널2개 방송중 네이버TV 채널2개 방송중 네이버에 #도그캐슬 검색 아프리카TV BJ;도캐철이 네이버카페 #도그캐슬 도그캐슬 쇼룸: 서울시 강남구 청담동 20-18 TEL: 02-514-5051 (상담시간 오전 9시 ~ 밤 9시) dogcastle US Teacup puppies & dogcastle ▶WE SHIP WORLDWIDE !! Healthy ALWAYS New available puppies are updated with unedited pictures and videos. Never misrepresent Age & Size. Interested?. **Instagram @dogcastle_us **Email:ehrmzptmf@gmail.com **Paypal; Western Union; Bank Tranfer are all acceptable For more info; Visit Homepage http:www.dogcastle.co.kr Instagram https:www.instagram.comdogcastle_us Facebook https:www.facebook.comdokaecheo2013-02-05https://yt3.ggpht.com/ytc/AAUvwniv3SDnhoYmWgslrLFYYAXRH4GfpqnpeqUlCKmAFQ=s88-c-k-c0x00ffffff-no-rj0017.55231.71-0.330.0-0.47
6UC0LJ-IvV4jNxbXm_KO9bDvQ광주맛집2021-02-28요리할 줄 아는 놈이 맛을 안다~ 광주 토박이가 리뷰 해주는 리얼 광주맛집!!2019-02-03https://yt3.ggpht.com/ytc/AAUvwnhTQD9NObZUwnsOQphzSuaq41jmtEUTqNyyv3cVng=s88-c-k-c0x00ffffff-no-rj0021.781062.131.611.0-0.38
7UC-JZtfVAgIjmNfhapEV3zgg차차튜브 Chacha Tube2021-02-28Emailchadahye@gmail.com Insta cha.dahye2015-10-23https://yt3.ggpht.com/ytc/AAUvwni_ozT-oCjDTCVd99voDLu567WrJQZutaSXpjp_wA=s88-c-k-c0x00ffffff-no-rj0027.37102.69-0.72-1.0-0.27
8UC5FL8a5KYrW51zhm4YdSAAg인간적인생활2021-02-28주로 합성 소스들로 MAD를 만들거나 게임 애니메이션 등을 업로드하는 인간적인생활이라고 합니다*^^*2012-06-28https://yt3.ggpht.com/ytc/AAUvwnjrUby6J9HwKMPxjmiVDG8Fpmy-EcEBJpN3JFMu7w=s88-c-k-c0x00ffffff-no-rj0034.44403.390.0-1.0-0.12
9UC5qsXOIsLbkEIP4DI7xWOlg소풍왔니2021-02-28소풍왔니 유튜브 소튜브 스트리머 소풍왔니의 공식 YouTube 채널입니다. - 소풍왔니(각종 문의) : yumyu77@naver.com - 소튜브에게 문의 및 건의하기: sotube_edit@naver.com - 트위치 : https:www.twitch.tvyumyumyu77 -인스타그램 : http:instagram.comyumyu772015-12-05https://yt3.ggpht.com/ytc/AAUvwngFmpDNFRiUKL_HeUXtSNC3rdYf1pOnw4dy90YpsQ=s88-c-k-c0x00ffffff-no-rj0015.13201.47-0.5-1.0-0.52
인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
16UC8OUSYm-ztRAT6EE6VHPpGwMBC 미스터리 : 심야괴담회 & 서프라이즈2021-02-28세상의 모든 괴담 MBC 미스터리 : 심야괴담회 & 서프라이즈2016-10-25https://yt3.ggpht.com/ytc/AAUvwnihJNiRLcPeycLnJuviGUycFB01wO_7Hp5j25ZeZw=s88-c-k-c0x00ffffff-no-rj0012.42101.2-0.61-1.0-0.58
17UC7ITQntFG_QS1uFcmBgIkkw재외동포재단_OKF2021-02-28국민과 함께 한민족 공동체를 구현하는 글로벌 플랫폼 기관; 재외동포재단입니다.2017-05-19https://yt3.ggpht.com/ytc/AAUvwngPqNCgRQaVpJaLod_kCAAFlOycO5DBvE47Pys8yA=s88-c-k-c0x00ffffff-no-rj0019.59201.91-0.39-1.0-0.43
18UC3IZKseVpdzPSBaWxBxundABig Hit Labels2021-02-28Welcome to the official YouTube channel of Big Hit Labels; the content hub for Big Hit Entertainment; SOURCE MUSIC; BELIFT; and PLUS GLOBAL AUDITION.2008-06-04https://yt3.ggpht.com/ytc/AAUvwnhordofW56zFaHqFu6xV1GEnznW2e4naj9nU-93Zg=s88-c-k-c0x00ffffff-no-rj0048.98934.831.170.00.18
19UCA7WtDf9bYuRW1BowR00e6g고뎅2021-02-28크리에이터 고뎅입니다! 1. 리그오브레전드(LOL) 서포터 플레이 2. 배틀그라운드 플레이 3. 배그 & 롤 방송 진행 구독 꼭꼭꼭 트로피카나2016-10-09https://yt3.ggpht.com/ytc/AAUvwnhstmAppDrG7e4NM7-dbt52QPlq6yA2GIpXmcbluQ=s88-c-k-c0x00ffffff-no-rj0016.28101.59-0.61-1.0-0.5
20UC4VljnooZZkRhhb5s5rv1Mw[Flower pig]꽃돼지2021-02-28스폰문의 fbrur1234@naver.com 카카오톡:8992tt 꽃님들 항상 감사합니다2017-03-26https://yt3.ggpht.com/ytc/AAUvwnj86ZkA8KtH4vpaGDbmahrdkrqZKYmZna0CxR3Z9w=s88-c-k-c0x00ffffff-no-rj009.27230.89-0.390.0-0.64
21UC12BY9i1Lurqcvt-IZOpVvwyoloria욜로리아2021-02-28만원으로일주일반찬만들기; 간단요리; 맛있는다이어트레시피2013-01-05https://yt3.ggpht.com/ytc/AAUvwnjr4abmeOG8gTBpyo9buv33VO0xMCNLoSp03MEP6w=s88-c-k-c0x00ffffff-no-rj0037.45303.69-0.11-1.0-0.06
22UCBU4Ihsl_BH_nq_7XHh8PLQ꿈심는농부2021-02-28저는 무명의 글 작가입니다. 한 인간으로서.. 크리스찬으로서.. 살아오며.. 살아가며.. 깨달은 것들.. 기억하고 싶은 것들.. 남기고 싶은 것들.. 들려주고 싶은 것들.. 알려주고 싶은 것들.. 나누고 싶은 것들.. 올리고 있어요~ ^^ As a human being.. As a Christian.. All my life; in my life.. Things I've realized.. Things I want to remember.. Things I want to leave... A story I want to tell.. Things I want you to know... Things I want to share... I'm updating it~ ^^2013-09-21https://yt3.ggpht.com/ytc/AAUvwngH5RqTfVCnCydJn5aqj-9owTQEQPSAHvMLAgRR3Q=s88-c-k-c0x00ffffff-no-rj003.24130.29-0.670.0-0.77
23UCCQwk7lq2ygGaJY6XullCCw한국보건복지인력개발원2021-02-28한국보건복지인력개발원 유튜브 채널입니다. 보건복지 교육 관련 영상을 제공합니다.2019-03-26https://yt3.ggpht.com/ytc/AAUvwniTxC5uz87wYEKIwCYi2NoKdor41a1Vi63gMqxs8g=s88-c-k-c0x00ffffff-no-rj0010.58331.02-0.220.0-0.61
24UCDD6cKPDlX9bGCGr9gM3_uwLuann Kim_Luminia2021-02-28작곡가 루미니아의 음악 및 소통 채널입니다.2015-09-16https://yt3.ggpht.com/ytc/AAUvwnj9GIvGRCJbynrq9cKyXwsD75mOaw3wZbbSoFjYhA=s88-c-k-c0x00ffffff-no-rj00266.175026.380.39-1.04.65
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