Overview

Dataset statistics

Number of variables15
Number of observations28
Missing cells10
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory133.7 B

Variable types

Text4
DateTime2
Categorical4
Numeric5

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/c7aa0728-6c80-433a-8c31-49b93b18fdd8

Alerts

불호도 is highly overall correlated with 채널호감도 and 3 other fieldsHigh correlation
불호도표준점수 is highly overall correlated with 인기지수호감도 and 2 other fieldsHigh correlation
인기지수불호도 is highly overall correlated with 채널인기지수 and 7 other fieldsHigh correlation
인기지수호감도 is highly overall correlated with 채널인기지수 and 7 other fieldsHigh correlation
채널인기지수 is highly overall correlated with 채널호감도 and 5 other fieldsHigh correlation
채널호감도 is highly overall correlated with 채널인기지수 and 6 other fieldsHigh correlation
인기지수 is highly overall correlated with 채널인기지수 and 5 other fieldsHigh correlation
호감도표준점수 is highly overall correlated with 채널인기지수 and 5 other fieldsHigh correlation
인기지수표준점수 is highly overall correlated with 채널인기지수 and 5 other fieldsHigh correlation
인기지수호감도 is highly imbalanced (77.8%)Imbalance
인기지수불호도 is highly imbalanced (77.8%)Imbalance
인기지수채널설명 has 5 (17.9%) missing valuesMissing
채널인기지수 has 1 (3.6%) missing valuesMissing
채널호감도 has 1 (3.6%) missing valuesMissing
인기지수 has 1 (3.6%) missing valuesMissing
호감도표준점수 has 1 (3.6%) missing valuesMissing
인기지수표준점수 has 1 (3.6%) missing valuesMissing
인기지수채널ID has unique valuesUnique
인기지수채널명 has unique valuesUnique
인기지수채널생성일자 has unique valuesUnique
인기지수채널아이콘 has unique valuesUnique
채널호감도 has 3 (10.7%) zerosZeros
호감도표준점수 has 1 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-10 14:20:25.619843
Analysis finished2023-12-10 14:20:28.895013
Duration3.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인기지수채널ID
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:20:29.052711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters672
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowUCy_OWMB42I6bqaJQjJenKJA
2nd rowUCL-GJ5bmSpexd1-lVbG0xtQ
3rd rowUCw6AmebJ0sUuDdfFNFfa74g
4th rowUCXF_eVsuOWsWX6uIucimUrw
5th rowUC1YklYBrFcCLF8Pmz6llQTA
ValueCountFrequency (%)
ucy_owmb42i6bqajqjjenkja 1
 
3.6%
ucl-gj5bmspexd1-lvbg0xtq 1
 
3.6%
uccqwk7lq2yggajy6xullccw 1
 
3.6%
ucbu4ihsl_bh_nq_7xhh8plq 1
 
3.6%
uc12by9i1lurqcvt-izopvvw 1
 
3.6%
uc4vljnoozzkrhhb5s5rv1mw 1
 
3.6%
uca7wtdf9byurw1bowr00e6g 1
 
3.6%
uc3izksevpdzpsbawxbxunda 1
 
3.6%
uc8ousym-ztrat6ee6vhppgw 1
 
3.6%
uc7itqntfg_qs1ufcmbgikkw 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:20:29.444052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 38
 
5.7%
U 34
 
5.1%
I 21
 
3.1%
w 16
 
2.4%
6 16
 
2.4%
g 15
 
2.2%
u 15
 
2.2%
Q 15
 
2.2%
l 15
 
2.2%
V 13
 
1.9%
Other values (54) 474
70.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 300
44.6%
Lowercase Letter 255
37.9%
Decimal Number 96
 
14.3%
Dash Punctuation 11
 
1.6%
Connector Punctuation 10
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 38
 
12.7%
U 34
 
11.3%
I 21
 
7.0%
Q 15
 
5.0%
V 13
 
4.3%
F 13
 
4.3%
Y 12
 
4.0%
A 12
 
4.0%
W 11
 
3.7%
X 10
 
3.3%
Other values (16) 121
40.3%
Lowercase Letter
ValueCountFrequency (%)
w 16
 
6.3%
g 15
 
5.9%
u 15
 
5.9%
l 15
 
5.9%
c 13
 
5.1%
s 12
 
4.7%
t 12
 
4.7%
h 12
 
4.7%
b 12
 
4.7%
r 11
 
4.3%
Other values (16) 122
47.8%
Decimal Number
ValueCountFrequency (%)
6 16
16.7%
7 12
12.5%
5 11
11.5%
1 11
11.5%
2 11
11.5%
4 8
8.3%
0 8
8.3%
3 7
7.3%
9 7
7.3%
8 5
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 555
82.6%
Common 117
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 38
 
6.8%
U 34
 
6.1%
I 21
 
3.8%
w 16
 
2.9%
g 15
 
2.7%
u 15
 
2.7%
Q 15
 
2.7%
l 15
 
2.7%
V 13
 
2.3%
F 13
 
2.3%
Other values (42) 360
64.9%
Common
ValueCountFrequency (%)
6 16
13.7%
7 12
10.3%
5 11
9.4%
- 11
9.4%
1 11
9.4%
2 11
9.4%
_ 10
8.5%
4 8
6.8%
0 8
6.8%
3 7
6.0%
Other values (2) 12
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 38
 
5.7%
U 34
 
5.1%
I 21
 
3.1%
w 16
 
2.4%
6 16
 
2.4%
g 15
 
2.2%
u 15
 
2.2%
Q 15
 
2.2%
l 15
 
2.2%
V 13
 
1.9%
Other values (54) 474
70.5%

인기지수채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:20:29.679407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length10.821429
Min length2

Characters and Unicode

Total characters303
Distinct characters144
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

Unique28 ?
Unique (%)100.0%

Sample

1st row성우 김혜성의 혜성TV
2nd row토군
3rd rowboomiunni
4th rowEunjung 은정
5th row브라더쿡 BrotherCook
ValueCountFrequency (%)
mbc 2
 
3.6%
2
 
3.6%
성우 1
 
1.8%
한국승강기안전공단 1
 
1.8%
doctor 1
 
1.8%
kim 1
 
1.8%
dong-kyun 1
 
1.8%
대한민국 1
 
1.8%
경찰청 1
 
1.8%
world 1
 
1.8%
Other values (43) 43
78.2%
2023-12-10T23:20:30.052876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
8.9%
o 12
 
4.0%
n 12
 
4.0%
i 11
 
3.6%
a 10
 
3.3%
u 7
 
2.3%
e 7
 
2.3%
r 7
 
2.3%
l 5
 
1.7%
K 5
 
1.7%
Other values (134) 200
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
39.9%
Lowercase Letter 100
33.0%
Uppercase Letter 48
 
15.8%
Space Separator 27
 
8.9%
Connector Punctuation 2
 
0.7%
Other Punctuation 2
 
0.7%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 3
 
2.5%
라 3
 
2.5%
국 3
 
2.5%
한 3
 
2.5%
혜 3
 
2.5%
인 3
 
2.5%
리 2
 
1.7%
니 2
 
1.7%
안 2
 
1.7%
심 2
 
1.7%
Other values (87) 95
78.5%
Lowercase Letter
ValueCountFrequency (%)
o 12
12.0%
n 12
12.0%
i 11
11.0%
a 10
10.0%
u 7
 
7.0%
e 7
 
7.0%
r 7
 
7.0%
l 5
 
5.0%
m 4
 
4.0%
h 4
 
4.0%
Other values (10) 21
21.0%
Uppercase Letter
ValueCountFrequency (%)
K 5
 
10.4%
C 4
 
8.3%
B 4
 
8.3%
T 4
 
8.3%
L 4
 
8.3%
M 3
 
6.2%
O 3
 
6.2%
D 3
 
6.2%
H 2
 
4.2%
U 2
 
4.2%
Other values (10) 14
29.2%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
27
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 148
48.8%
Hangul 121
39.9%
Common 34
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 3
 
2.5%
라 3
 
2.5%
국 3
 
2.5%
한 3
 
2.5%
혜 3
 
2.5%
인 3
 
2.5%
리 2
 
1.7%
니 2
 
1.7%
안 2
 
1.7%
심 2
 
1.7%
Other values (87) 95
78.5%
Latin
ValueCountFrequency (%)
o 12
 
8.1%
n 12
 
8.1%
i 11
 
7.4%
a 10
 
6.8%
u 7
 
4.7%
e 7
 
4.7%
r 7
 
4.7%
l 5
 
3.4%
K 5
 
3.4%
m 4
 
2.7%
Other values (30) 68
45.9%
Common
ValueCountFrequency (%)
27
79.4%
_ 2
 
5.9%
: 1
 
2.9%
] 1
 
2.9%
& 1
 
2.9%
[ 1
 
2.9%
- 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
60.1%
Hangul 121
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
 
14.8%
o 12
 
6.6%
n 12
 
6.6%
i 11
 
6.0%
a 10
 
5.5%
u 7
 
3.8%
e 7
 
3.8%
r 7
 
3.8%
l 5
 
2.7%
K 5
 
2.7%
Other values (37) 79
43.4%
Hangul
ValueCountFrequency (%)
성 3
 
2.5%
라 3
 
2.5%
국 3
 
2.5%
한 3
 
2.5%
혜 3
 
2.5%
인 3
 
2.5%
리 2
 
1.7%
니 2
 
1.7%
안 2
 
1.7%
심 2
 
1.7%
Other values (87) 95
78.5%

인기지수수집일자
Date

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2021-01-11 00:00:00
Maximum2021-01-27 00:00:00
2023-12-10T23:20:30.158217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:30.251092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

인기지수채널설명
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing5
Missing (%)17.9%
Memory size356.0 B
2023-12-10T23:20:30.462179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length620
Median length56
Mean length113.04348
Min length9

Characters and Unicode

Total characters2600
Distinct characters334
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

Unique23 ?
Unique (%)100.0%

Sample

1st row엽기병맛 비글 성우 김혜성과 함께 즐기는 성우 세계!!!! 이제는 대성우시대! 즐겁게 살자라는 신념으로 유튜브 만들고 있습니다 게임도 하고 성우란 직업도 알아보는 성우컨텐츠의 집합소~ 성우 김혜성 홍보홍보 합시다 김혜성 대성 하리라 모두에게 즐거움을 주리라!! https:www.facebook.comgenjicomet 페이스북에서 방송이나 컨텐츠 알림합니다~ 트위치 https:www.twitch.tvgenjicomettv 에서 게임방송합니다 많이 구경 오시구 구독해주세요~^-^ seiyucoute@gmail.com 으로 사연도 좋고 고민도 좋고 질문도 좋고 아무거나 보내주세요~^-^
2nd row재밌게 보셨다면 '좋아요' 구독하기 꼭 부탁드립니다^^
3rd row그냥 나의 기록들
4th row요리가 취미인 자취생의 만원으로 맛있는 한끼식사 하기 Thank you for visiting youtube brothercook :D
5th row안녕하세요. 뭉순임당임당. 비즈니스 문의 : myungsun@sandboxnetwork.net
ValueCountFrequency (%)
19
 
4.4%
것들 6
 
1.4%
유튜브 6
 
1.4%
to 6
 
1.4%
채널입니다 5
 
1.2%
싶은 5
 
1.2%
want 5
 
1.2%
i 5
 
1.2%
things 5
 
1.2%
도그캐슬 4
 
0.9%
Other values (322) 364
84.7%
2023-12-10T23:20:30.771861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
 
17.6%
t 90
 
3.5%
. 88
 
3.4%
e 87
 
3.3%
a 77
 
3.0%
o 61
 
2.3%
n 56
 
2.2%
i 53
 
2.0%
s 47
 
1.8%
m 43
 
1.7%
Other values (324) 1540
59.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 885
34.0%
Other Letter 872
33.5%
Space Separator 458
17.6%
Other Punctuation 169
 
6.5%
Uppercase Letter 135
 
5.2%
Decimal Number 40
 
1.5%
Modifier Symbol 12
 
0.5%
Dash Punctuation 10
 
0.4%
Math Symbol 8
 
0.3%
Connector Punctuation 4
 
0.2%
Other values (3) 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 25
 
2.9%
니 25
 
2.9%
이 20
 
2.3%
리 17
 
1.9%
고 16
 
1.8%
들 14
 
1.6%
주 13
 
1.5%
는 13
 
1.5%
의 12
 
1.4%
하 12
 
1.4%
Other values (249) 705
80.8%
Lowercase Letter
ValueCountFrequency (%)
t 90
 
10.2%
e 87
 
9.8%
a 77
 
8.7%
o 61
 
6.9%
n 56
 
6.3%
i 53
 
6.0%
s 47
 
5.3%
m 43
 
4.9%
c 40
 
4.5%
r 39
 
4.4%
Other values (15) 292
33.0%
Uppercase Letter
ValueCountFrequency (%)
I 19
14.1%
T 15
 
11.1%
L 10
 
7.4%
A 10
 
7.4%
S 9
 
6.7%
E 8
 
5.9%
B 7
 
5.2%
H 6
 
4.4%
O 6
 
4.4%
W 6
 
4.4%
Other values (12) 39
28.9%
Other Punctuation
ValueCountFrequency (%)
. 88
52.1%
: 22
 
13.0%
! 16
 
9.5%
; 14
 
8.3%
@ 8
 
4.7%
* 8
 
4.7%
' 4
 
2.4%
# 4
 
2.4%
& 4
 
2.4%
? 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 9
22.5%
7 6
15.0%
1 6
15.0%
0 4
10.0%
5 4
10.0%
9 4
10.0%
3 2
 
5.0%
4 2
 
5.0%
8 2
 
5.0%
6 1
 
2.5%
Space Separator
ValueCountFrequency (%)
458
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1020
39.2%
Hangul 872
33.5%
Common 708
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 25
 
2.9%
니 25
 
2.9%
이 20
 
2.3%
리 17
 
1.9%
고 16
 
1.8%
들 14
 
1.6%
주 13
 
1.5%
는 13
 
1.5%
의 12
 
1.4%
하 12
 
1.4%
Other values (249) 705
80.8%
Latin
ValueCountFrequency (%)
t 90
 
8.8%
e 87
 
8.5%
a 77
 
7.5%
o 61
 
6.0%
n 56
 
5.5%
i 53
 
5.2%
s 47
 
4.6%
m 43
 
4.2%
c 40
 
3.9%
r 39
 
3.8%
Other values (37) 427
41.9%
Common
ValueCountFrequency (%)
458
64.7%
. 88
 
12.4%
: 22
 
3.1%
! 16
 
2.3%
; 14
 
2.0%
^ 12
 
1.7%
- 10
 
1.4%
2 9
 
1.3%
~ 8
 
1.1%
@ 8
 
1.1%
Other values (18) 63
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1727
66.4%
Hangul 872
33.5%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
26.5%
t 90
 
5.2%
. 88
 
5.1%
e 87
 
5.0%
a 77
 
4.5%
o 61
 
3.5%
n 56
 
3.2%
i 53
 
3.1%
s 47
 
2.7%
m 43
 
2.5%
Other values (64) 667
38.6%
Hangul
ValueCountFrequency (%)
다 25
 
2.9%
니 25
 
2.9%
이 20
 
2.3%
리 17
 
1.9%
고 16
 
1.8%
들 14
 
1.6%
주 13
 
1.5%
는 13
 
1.5%
의 12
 
1.4%
하 12
 
1.4%
Other values (249) 705
80.8%
Geometric Shapes
ValueCountFrequency (%)
▶ 1
100.0%

인기지수채널생성일자
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2008-06-04 00:00:00
Maximum2019-03-26 00:00:00
2023-12-10T23:20:30.897177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:31.009291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인기지수채널아이콘
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:20:31.339105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length98
Mean length97.75
Min length96

Characters and Unicode

Total characters2737
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AAUvwnhgLxXCQsR3l4m7fX15U2w-4QYmr-uiEEs9tqv4=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwngLUTK0cf34Cs5TKfuF2iEdHa8JB5w1m63h2p0b0A=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnjF_Zpht9Qazq0HmfvkoLxmC07TTmqTne4iIZQkSy0=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwngrAxQV3EH39xJTM7PkOiXkHtBPLcTjXAwtI3-UIA=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwniasN4wO7vu2ewhUsYHJV0qXUHX0NbveB-03FiG2A=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwnhglxxcqsr3l4m7fx15u2w-4qymr-uiees9tqv4=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnglutk0cf34cs5tkfuf2iedha8jb5w1m63h2p0b0a=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnitxc5uz87wyekiwcyi2nokdor41a1vi63gmqxs8g=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwngh5rqtfvcncydjn5aqj-9owtqeqpsahvmlagrr3q=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnjr4abmeog8gtbpyo9buv33vo0xmcnlosp03mep6w=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnj86zka8kth4vpagdbmahrdkrqzkymzna0cxr3z9w=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnhstmappdrg7e4nm7-dbt52qplq6ya2gipxmcbluq=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwni_gxaz9ah8olobjqzejjj5par6xspbdt-ehcft=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnihjnirlcpeyclnjuviguycfb01wo_7hp5j25zezw=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwngpqncgrqavpjalod_kcaafloyco5dbve47pys8ya=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:20:31.826126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 177
 
6.5%
t 158
 
5.8%
- 154
 
5.6%
c 125
 
4.6%
/ 112
 
4.1%
0 102
 
3.7%
p 86
 
3.1%
A 84
 
3.1%
y 79
 
2.9%
g 79
 
2.9%
Other values (58) 1581
57.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1489
54.4%
Uppercase Letter 531
 
19.4%
Decimal Number 329
 
12.0%
Other Punctuation 196
 
7.2%
Dash Punctuation 154
 
5.6%
Math Symbol 28
 
1.0%
Connector Punctuation 10
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 177
 
11.9%
t 158
 
10.6%
c 125
 
8.4%
p 86
 
5.8%
y 79
 
5.3%
g 79
 
5.3%
o 77
 
5.2%
h 73
 
4.9%
s 72
 
4.8%
n 71
 
4.8%
Other values (16) 492
33.0%
Uppercase Letter
ValueCountFrequency (%)
A 84
 
15.8%
U 45
 
8.5%
F 23
 
4.3%
Q 23
 
4.3%
H 22
 
4.1%
T 21
 
4.0%
C 21
 
4.0%
G 20
 
3.8%
J 20
 
3.8%
N 19
 
3.6%
Other values (16) 233
43.9%
Decimal Number
ValueCountFrequency (%)
0 102
31.0%
8 68
20.7%
3 49
14.9%
9 21
 
6.4%
7 18
 
5.5%
4 18
 
5.5%
5 16
 
4.9%
6 15
 
4.6%
1 12
 
3.6%
2 10
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 112
57.1%
. 56
28.6%
: 28
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Math Symbol
ValueCountFrequency (%)
= 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2020
73.8%
Common 717
 
26.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 177
 
8.8%
t 158
 
7.8%
c 125
 
6.2%
p 86
 
4.3%
A 84
 
4.2%
y 79
 
3.9%
g 79
 
3.9%
o 77
 
3.8%
h 73
 
3.6%
s 72
 
3.6%
Other values (42) 1010
50.0%
Common
ValueCountFrequency (%)
- 154
21.5%
/ 112
15.6%
0 102
14.2%
8 68
9.5%
. 56
 
7.8%
3 49
 
6.8%
: 28
 
3.9%
= 28
 
3.9%
9 21
 
2.9%
7 18
 
2.5%
Other values (6) 81
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 177
 
6.5%
t 158
 
5.8%
- 154
 
5.6%
c 125
 
4.6%
/ 112
 
4.1%
0 102
 
3.7%
p 86
 
3.1%
A 84
 
3.1%
y 79
 
2.9%
g 79
 
2.9%
Other values (58) 1581
57.8%

인기지수호감도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
27 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.1071429
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
96.4%
<NA> 1
 
3.6%

Length

2023-12-10T23:20:32.003812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:32.146668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
96.4%
na 1
 
3.6%

인기지수불호도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
27 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.1071429
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
96.4%
<NA> 1
 
3.6%

Length

2023-12-10T23:20:32.254244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:32.357763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
96.4%
na 1
 
3.6%

채널인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean39.912593
Minimum3.21
Maximum276.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:32.444152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.21
5-th percentile4.279
Q114.25
median23.23
Q348.845
95-th percentile87.402
Maximum276.36
Range273.15
Interquartile range (IQR)34.595

Descriptive statistics

Standard deviation52.74706
Coefficient of variation (CV)1.3215644
Kurtosis16.313846
Mean39.912593
Median Absolute Deviation (MAD)13.96
Skewness3.7156577
Sum1077.64
Variance2782.2524
MonotonicityNot monotonic
2023-12-10T23:20:32.550355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
62.59 1
 
3.6%
88.77 1
 
3.6%
276.36 1
 
3.6%
10.09 1
 
3.6%
3.21 1
 
3.6%
37.19 1
 
3.6%
9.28 1
 
3.6%
16.3 1
 
3.6%
48.87 1
 
3.6%
12.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
3.21 1
3.6%
4.27 1
3.6%
4.3 1
3.6%
5.1 1
3.6%
9.28 1
3.6%
10.09 1
3.6%
12.2 1
3.6%
16.3 1
3.6%
17.63 1
3.6%
19.12 1
3.6%
ValueCountFrequency (%)
276.36 1
3.6%
88.77 1
3.6%
84.21 1
3.6%
62.59 1
3.6%
62.46 1
3.6%
49.03 1
3.6%
48.87 1
3.6%
48.82 1
3.6%
37.98 1
3.6%
37.19 1
3.6%

채널호감도
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct7
Distinct (%)25.9%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean2.4444444
Minimum0
Maximum8
Zeros3
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:32.647876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5.4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8045526
Coefficient of variation (CV)0.73822608
Kurtosis2.4034001
Mean2.4444444
Median Absolute Deviation (MAD)1
Skewness1.2210586
Sum66
Variance3.2564103
MonotonicityNot monotonic
2023-12-10T23:20:32.749290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 8
28.6%
3 5
17.9%
1 5
17.9%
4 4
14.3%
0 3
 
10.7%
8 1
 
3.6%
6 1
 
3.6%
(Missing) 1
 
3.6%
ValueCountFrequency (%)
0 3
 
10.7%
1 5
17.9%
2 8
28.6%
3 5
17.9%
4 4
14.3%
6 1
 
3.6%
8 1
 
3.6%
ValueCountFrequency (%)
8 1
 
3.6%
6 1
 
3.6%
4 4
14.3%
3 5
17.9%
2 8
28.6%
1 5
17.9%
0 3
 
10.7%

불호도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
18 
2
7 
<NA>
 
1
4
 
1
6
 
1

Length

Max length4
Median length1
Mean length1.1071429
Min length1

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
64.3%
2 7
 
25.0%
<NA> 1
 
3.6%
4 1
 
3.6%
6 1
 
3.6%

Length

2023-12-10T23:20:32.867442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:32.973621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
64.3%
2 7
 
25.0%
na 1
 
3.6%
4 1
 
3.6%
6 1
 
3.6%

인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)96.3%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean3.9307407
Minimum0.29
Maximum27.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:33.091120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.4
Q11.385
median2.28
Q34.815
95-th percentile8.635
Maximum27.37
Range27.08
Interquartile range (IQR)3.43

Descriptive statistics

Standard deviation5.228693
Coefficient of variation (CV)1.3302055
Kurtosis16.316333
Mean3.9307407
Median Absolute Deviation (MAD)1.39
Skewness3.7159203
Sum106.13
Variance27.33923
MonotonicityNot monotonic
2023-12-10T23:20:33.248871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.4 2
 
7.1%
3.15 1
 
3.6%
27.37 1
 
3.6%
0.98 1
 
3.6%
0.29 1
 
3.6%
3.66 1
 
3.6%
0.89 1
 
3.6%
1.59 1
 
3.6%
4.82 1
 
3.6%
1.18 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
0.29 1
3.6%
0.4 2
7.1%
0.48 1
3.6%
0.89 1
3.6%
0.98 1
3.6%
1.18 1
3.6%
1.59 1
3.6%
1.72 1
3.6%
1.87 1
3.6%
1.9 1
3.6%
ValueCountFrequency (%)
27.37 1
3.6%
8.77 1
3.6%
8.32 1
3.6%
6.18 1
3.6%
6.17 1
3.6%
4.83 1
3.6%
4.82 1
3.6%
4.81 1
3.6%
3.74 1
3.6%
3.66 1
3.6%

호감도표준점수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19
Distinct (%)70.4%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean-0.062592593
Minimum-0.7
Maximum1.5
Zeros1
Zeros (%)3.6%
Negative16
Negative (%)57.1%
Memory size384.0 B
2023-12-10T23:20:33.429836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7
5-th percentile-0.7
Q1-0.475
median-0.1
Q30.225
95-th percentile0.87
Maximum1.5
Range2.2
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.53336084
Coefficient of variation (CV)-8.5211496
Kurtosis1.7007337
Mean-0.062592593
Median Absolute Deviation (MAD)0.35
Skewness1.1578494
Sum-1.69
Variance0.28447379
MonotonicityNot monotonic
2023-12-10T23:20:33.574524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.1 3
 
10.7%
-0.7 3
 
10.7%
-0.6 2
 
7.1%
-0.35 2
 
7.1%
0.2 2
 
7.1%
-0.2 2
 
7.1%
0.36 1
 
3.6%
-0.5 1
 
3.6%
0.35 1
 
3.6%
-0.55 1
 
3.6%
Other values (9) 9
32.1%
ValueCountFrequency (%)
-0.7 3
10.7%
-0.6 2
7.1%
-0.55 1
 
3.6%
-0.5 1
 
3.6%
-0.45 1
 
3.6%
-0.35 2
7.1%
-0.3 1
 
3.6%
-0.2 2
7.1%
-0.1 3
10.7%
0.0 1
 
3.6%
ValueCountFrequency (%)
1.5 1
3.6%
1.05 1
3.6%
0.45 1
3.6%
0.4 1
3.6%
0.36 1
3.6%
0.35 1
3.6%
0.25 1
3.6%
0.2 2
7.1%
0.05 1
3.6%
0.0 1
3.6%

불호도표준점수
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
-0.5
15 
0.0
7 
-1.0
3 
<NA>
 
1
0.5
 
1

Length

Max length4
Median length4
Mean length3.6785714
Min length3

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row-1.0
2nd row<NA>
3rd row-1.0
4th row-1.0
5th row-0.5

Common Values

ValueCountFrequency (%)
-0.5 15
53.6%
0.0 7
25.0%
-1.0 3
 
10.7%
<NA> 1
 
3.6%
0.5 1
 
3.6%
1.0 1
 
3.6%

Length

2023-12-10T23:20:33.727965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:33.865150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.5 16
57.1%
0.0 7
25.0%
1.0 4
 
14.3%
na 1
 
3.6%

인기지수표준점수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)88.9%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean-0.007037037
Minimum-0.77
Maximum4.88
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)67.9%
Memory size384.0 B
2023-12-10T23:20:33.980442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.77
5-th percentile-0.74
Q1-0.54
median-0.35
Q30.175
95-th percentile0.98
Maximum4.88
Range5.65
Interquartile range (IQR)0.715

Descriptive statistics

Standard deviation1.0908212
Coefficient of variation (CV)-155.01143
Kurtosis16.271059
Mean-0.007037037
Median Absolute Deviation (MAD)0.29
Skewness3.7101719
Sum-0.19
Variance1.1898909
MonotonicityNot monotonic
2023-12-10T23:20:34.119999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.18 2
 
7.1%
-0.43 2
 
7.1%
-0.74 2
 
7.1%
0.47 1
 
3.6%
-0.17 1
 
3.6%
4.88 1
 
3.6%
-0.62 1
 
3.6%
-0.77 1
 
3.6%
-0.06 1
 
3.6%
-0.64 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
-0.77 1
3.6%
-0.74 2
7.1%
-0.73 1
3.6%
-0.64 1
3.6%
-0.62 1
3.6%
-0.58 1
3.6%
-0.5 1
3.6%
-0.47 1
3.6%
-0.44 1
3.6%
-0.43 2
7.1%
ValueCountFrequency (%)
4.88 1
3.6%
1.01 1
3.6%
0.91 1
3.6%
0.47 1
3.6%
0.46 1
3.6%
0.18 2
7.1%
0.17 1
3.6%
-0.05 1
3.6%
-0.06 1
3.6%
-0.12 1
3.6%

Interactions

2023-12-10T23:20:27.714259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.258159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.598993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.979722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.332036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.794382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.318548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.684228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.046182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.399284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.939339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.389559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.771871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.121786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.475886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:28.029346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.452852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.839370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.187810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.551213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:28.110573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.519880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:26.907416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.257047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:27.620525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:20:34.231825image/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
인기지수수집일자1.0001.0001.0001.0001.0001.0000.6820.0000.0000.6820.3290.5390.682
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
채널인기지수1.0001.0000.6821.0001.0001.0001.0000.3290.0001.0000.4350.1251.000
채널호감도1.0001.0000.0001.0001.0001.0000.3291.0000.7000.3290.9130.6530.329
불호도1.0001.0000.0001.0001.0001.0000.0000.7001.0000.0000.8641.0000.000
인기지수1.0001.0000.6821.0001.0001.0001.0000.3290.0001.0000.4350.1251.000
호감도표준점수1.0001.0000.3291.0001.0001.0000.4350.9130.8640.4351.0000.6710.435
불호도표준점수1.0001.0000.5391.0001.0001.0000.1250.6531.0000.1250.6711.0000.125
인기지수표준점수1.0001.0000.6821.0001.0001.0001.0000.3290.0001.0000.4350.1251.000
2023-12-10T23:20:34.414053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
불호도불호도표준점수인기지수불호도인기지수호감도
불호도1.0000.9781.0001.000
불호도표준점수0.9781.0001.0001.000
인기지수불호도1.0001.0001.0001.000
인기지수호감도1.0001.0001.0001.000
2023-12-10T23:20:34.531202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널인기지수채널호감도인기지수호감도표준점수인기지수표준점수인기지수호감도인기지수불호도불호도불호도표준점수
채널인기지수1.0000.7021.0000.7440.9981.0001.0000.0000.000
채널호감도0.7021.0000.7060.9750.7011.0001.0000.5230.464
인기지수1.0000.7061.0000.7480.9981.0001.0000.0000.000
호감도표준점수0.7440.9750.7481.0000.7431.0001.0000.4830.478
인기지수표준점수0.9980.7010.9980.7431.0001.0001.0000.0000.000
인기지수호감도1.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수불호도1.0001.0001.0001.0001.0001.0001.0001.0001.000
불호도0.0000.5230.0000.4830.0001.0001.0001.0000.978
불호도표준점수0.0000.4640.0000.4780.0001.0001.0000.9781.000

Missing values

2023-12-10T23:20:28.230665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:20:28.397012image/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.
2023-12-10T23:20:28.783818image/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

인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
0UCy_OWMB42I6bqaJQjJenKJA성우 김혜성의 혜성TV2021-01-11엽기병맛 비글 성우 김혜성과 함께 즐기는 성우 세계!!!! 이제는 대성우시대! 즐겁게 살자라는 신념으로 유튜브 만들고 있습니다 게임도 하고 성우란 직업도 알아보는 성우컨텐츠의 집합소~ 성우 김혜성 홍보홍보 합시다 김혜성 대성 하리라 모두에게 즐거움을 주리라!! https:www.facebook.comgenjicomet 페이스북에서 방송이나 컨텐츠 알림합니다~ 트위치 https:www.twitch.tvgenjicomettv 에서 게임방송합니다 많이 구경 오시구 구독해주세요~^-^ seiyucoute@gmail.com 으로 사연도 좋고 고민도 좋고 질문도 좋고 아무거나 보내주세요~^-^2018-08-30https://yt3.ggpht.com/ytc/AAUvwnhgLxXCQsR3l4m7fX15U2w-4QYmr-uiEEs9tqv4=s88-c-k-c0x00ffffff-no-rj0062.59306.180.36-1.00.47
1UCL-GJ5bmSpexd1-lVbG0xtQ토군2021-01-14재밌게 보셨다면 '좋아요' 구독하기 꼭 부탁드립니다^^2017-06-02https://yt3.ggpht.com/ytc/AAUvwngLUTK0cf34Cs5TKfuF2iEdHa8JB5w1m63h2p0b0A=s88-c-k-c0x00ffffff-no-rj<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2UCw6AmebJ0sUuDdfFNFfa74gboomiunni2021-01-15그냥 나의 기록들2011-10-07https://yt3.ggpht.com/ytc/AAUvwnjF_Zpht9Qazq0HmfvkoLxmC07TTmqTne4iIZQkSy0=s88-c-k-c0x00ffffff-no-rj0088.77308.770.2-1.01.01
3UCXF_eVsuOWsWX6uIucimUrwEunjung 은정2021-01-22<NA>2010-10-29https://yt3.ggpht.com/ytc/AAUvwngrAxQV3EH39xJTM7PkOiXkHtBPLcTjXAwtI3-UIA=s88-c-k-c0x00ffffff-no-rj0049.03404.830.4-1.00.17
4UC1YklYBrFcCLF8Pmz6llQTA브라더쿡 BrotherCook2021-01-27요리가 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-rj0037.98203.74-0.1-0.5-0.05
5UC256C9U-lYhr5-Or7vvCrvQThat Korean Girl 돌돌콩2021-01-27<NA>2015-11-07https://yt3.ggpht.com/ytc/AAUvwngqhZxtgAZAgNbygp7OM9yeOok1ufyySzd83NeI=s88-c-k-c0x00ffffff-no-rj0084.21408.320.45-0.50.91
6UC-i2CYHvScX1It3noNbhWxwMYUNG SUN뭉순임당2021-01-27안녕하세요. 뭉순임당임당. 비즈니스 문의 : myungsun@sandboxnetwork.net2019-03-05https://yt3.ggpht.com/ytc/AAUvwnjUCvj6Du0QxlIV6Gpk-Bs5gtqCUwPT-Mt9oF1J=s88-c-k-c0x00ffffff-no-rj0048.82304.810.05-0.50.18
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8UC2uASp3Una1shzVIGpJ2d5w포메라니안 도그캐슬2021-01-27도그캐슬 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-rj0017.63221.72-0.30.0-0.47
9UC0LJ-IvV4jNxbXm_KO9bDvQ광주맛집2021-01-27요리할 줄 아는 놈이 맛을 안다~ 광주 토박이가 리뷰 해주는 리얼 광주맛집!!2019-02-03https://yt3.ggpht.com/ytc/AAUvwnhTQD9NObZUwnsOQphzSuaq41jmtEUTqNyyv3cVng=s88-c-k-c0x00ffffff-no-rj0023.23842.281.50.5-0.35
인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
18UC76dVYqgvIRxMXFqN_3YsIA닭갈비TV2021-01-27닭갈비 채널입니다 열심히 하겠습니다. 인스타그램 https:www.instagram.comgarubi22 트위치 https:www.twitch.tvjwl06152014-05-30https://yt3.ggpht.com/ytc/AAUvwniYuaJ8jSvtEzBe4FVdKwQ6GQyvK9i4YNcByU4weA=s88-c-k-c0x00ffffff-no-rj0019.12221.87-0.10.0-0.44
19UC7ITQntFG_QS1uFcmBgIkkw재외동포재단_OKF2021-01-27국민과 함께 한민족 공동체를 구현하는 글로벌 플랫폼 기관; 재외동포재단입니다.2017-05-19https://yt3.ggpht.com/ytc/AAUvwngPqNCgRQaVpJaLod_kCAAFlOycO5DBvE47Pys8yA=s88-c-k-c0x00ffffff-no-rj0019.6201.92-0.35-0.5-0.43
20UC8OUSYm-ztRAT6EE6VHPpGwMBC 미스터리 : 심야괴담회 & 서프라이즈2021-01-27세상의 모든 괴담 MBC 미스터리 : 심야괴담회 & 서프라이즈2016-10-25https://yt3.ggpht.com/ytc/AAUvwnihJNiRLcPeycLnJuviGUycFB01wO_7Hp5j25ZeZw=s88-c-k-c0x00ffffff-no-rj0012.2101.18-0.6-0.5-0.58
21UC3IZKseVpdzPSBaWxBxundABig Hit Labels2021-01-27Welcome 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/AAUvwni_GxAz9AH8OLOBjqZEjjJ5PAR6xsPbdT-eHcFt=s88-c-k-c0x00ffffff-no-rj0048.87624.821.050.00.18
22UCA7WtDf9bYuRW1BowR00e6g고뎅2021-01-27크리에이터 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-rj0016.3101.59-0.55-0.5-0.5
23UC4VljnooZZkRhhb5s5rv1Mw[Flower pig]꽃돼지2021-01-27스폰문의 fbrur1234@naver.com 카카오톡:8992tt 꽃님들 항상 감사합니다2017-03-26https://yt3.ggpht.com/ytc/AAUvwnj86ZkA8KtH4vpaGDbmahrdkrqZKYmZna0CxR3Z9w=s88-c-k-c0x00ffffff-no-rj009.28220.89-0.350.0-0.64
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