Overview

Dataset statistics

Number of variables15
Number of observations25
Missing cells23
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory134.3 B

Variable types

Text4
Categorical5
DateTime1
Numeric5

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/a22b56e2-d7cc-4bf7-b872-e76c82e98474

Alerts

인기지수수집일자 has constant value ""Constant
인기지수호감도 has constant value ""Constant
인기지수불호도 has constant value ""Constant
불호도표준점수 is highly overall correlated with 채널호감도 and 2 other fieldsHigh correlation
불호도 is highly overall correlated with 채널호감도 and 2 other fieldsHigh correlation
채널인기지수 is highly overall correlated with 채널호감도 and 3 other fieldsHigh correlation
채널호감도 is highly overall correlated with 채널인기지수 and 5 other fieldsHigh correlation
인기지수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
호감도표준점수 is highly overall correlated with 채널인기지수 and 5 other fieldsHigh correlation
인기지수표준점수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수채널설명 has 6 (24.0%) missing valuesMissing
인기지수채널생성일자 has 11 (44.0%) missing valuesMissing
채널인기지수 has 2 (8.0%) missing valuesMissing
인기지수 has 2 (8.0%) missing valuesMissing
인기지수표준점수 has 2 (8.0%) missing valuesMissing
인기지수채널ID has unique valuesUnique
인기지수채널명 has unique valuesUnique
인기지수채널아이콘 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:20:53.513391
Analysis finished2023-12-10 14:20:56.986731
Duration3.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인기지수채널ID
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:20:57.142321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters600
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowUC-rL1o4m5UamXY7lzGw8P8Q
2nd rowUC0yvvSJLpQLPU6u6-ZaBXvg
3rd rowUC256C9U-lYhr5-Or7vvCrvQ
4th rowUC271vX3c3kYZsgpz7-zPBoA
5th rowUC28lbdOHnj-leok6tHIx7ew
ValueCountFrequency (%)
uc-rl1o4m5uamxy7lzgw8p8q 1
 
4.0%
uc4ykkrchq1i2sspyoq6nt5w 1
 
4.0%
uca_sh8tajjakrdwflkn3fdq 1
 
4.0%
uc9a4spvt4xln98emusd40eg 1
 
4.0%
uc9t8wl0quwhpcksv73j5dqa 1
 
4.0%
uc9sz7d8ytd4c_zwugconm7a 1
 
4.0%
uc91lhnn7zz6gm-br-gzwj0a 1
 
4.0%
uc7bqxkhltafctwwwhuzoouq 1
 
4.0%
uc7ydpatpeb2tuxmupcxirsw 1
 
4.0%
uc7wmb_czx5jf__5kqt4d9ww 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T23:20:57.488554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 34
 
5.7%
U 32
 
5.3%
A 17
 
2.8%
7 16
 
2.7%
k 15
 
2.5%
8 15
 
2.5%
g 14
 
2.3%
9 14
 
2.3%
4 13
 
2.2%
M 12
 
2.0%
Other values (54) 418
69.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 268
44.7%
Lowercase Letter 204
34.0%
Decimal Number 111
18.5%
Dash Punctuation 9
 
1.5%
Connector Punctuation 8
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 34
 
12.7%
U 32
 
11.9%
A 17
 
6.3%
M 12
 
4.5%
Q 12
 
4.5%
W 10
 
3.7%
Z 10
 
3.7%
R 10
 
3.7%
D 10
 
3.7%
L 10
 
3.7%
Other values (16) 111
41.4%
Lowercase Letter
ValueCountFrequency (%)
k 15
 
7.4%
g 14
 
6.9%
w 12
 
5.9%
v 12
 
5.9%
t 11
 
5.4%
o 11
 
5.4%
y 10
 
4.9%
j 10
 
4.9%
z 10
 
4.9%
a 9
 
4.4%
Other values (16) 90
44.1%
Decimal Number
ValueCountFrequency (%)
7 16
14.4%
8 15
13.5%
9 14
12.6%
4 13
11.7%
5 11
9.9%
2 10
9.0%
6 9
8.1%
3 9
8.1%
0 8
7.2%
1 6
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 472
78.7%
Common 128
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 34
 
7.2%
U 32
 
6.8%
A 17
 
3.6%
k 15
 
3.2%
g 14
 
3.0%
M 12
 
2.5%
Q 12
 
2.5%
w 12
 
2.5%
v 12
 
2.5%
t 11
 
2.3%
Other values (42) 301
63.8%
Common
ValueCountFrequency (%)
7 16
12.5%
8 15
11.7%
9 14
10.9%
4 13
10.2%
5 11
8.6%
2 10
7.8%
- 9
7.0%
6 9
7.0%
3 9
7.0%
0 8
6.2%
Other values (2) 14
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 34
 
5.7%
U 32
 
5.3%
A 17
 
2.8%
7 16
 
2.7%
k 15
 
2.5%
8 15
 
2.5%
g 14
 
2.3%
9 14
 
2.3%
4 13
 
2.2%
M 12
 
2.0%
Other values (54) 418
69.7%

인기지수채널명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:20:57.731110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length13
Mean length10.84
Min length2

Characters and Unicode

Total characters271
Distinct characters134
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row찌워니의 삶
2nd row부산여성가족개발원
3rd rowThat Korean Girl 돌돌콩
4th rowKBS Entertain: 깔깔티비
5th row고양이와 소소한생활
ValueCountFrequency (%)
찌워니의 1
 
2.0%
로하이 1
 
2.0%
청소년방송 1
 
2.0%
권민제 1
 
2.0%
minje 1
 
2.0%
kwon 1
 
2.0%
하모진주_진주시공식유튜브 1
 
2.0%
핫도그tv 1
 
2.0%
한국여행추천tv 1
 
2.0%
대한민국청와대 1
 
2.0%
Other values (39) 39
79.6%
2023-12-10T23:20:58.128795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
8.9%
e 8
 
3.0%
T 8
 
3.0%
o 6
 
2.2%
t 6
 
2.2%
n 6
 
2.2%
E 5
 
1.8%
주 4
 
1.5%
a 4
 
1.5%
i 4
 
1.5%
Other values (124) 196
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
51.3%
Lowercase Letter 56
20.7%
Uppercase Letter 45
 
16.6%
Space Separator 24
 
8.9%
Decimal Number 4
 
1.5%
Connector Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
 
2.9%
구 3
 
2.2%
소 3
 
2.2%
울 3
 
2.2%
국 3
 
2.2%
방 3
 
2.2%
한 3
 
2.2%
청 3
 
2.2%
원 3
 
2.2%
산 3
 
2.2%
Other values (80) 108
77.7%
Uppercase Letter
ValueCountFrequency (%)
T 8
17.8%
E 5
11.1%
V 3
 
6.7%
O 3
 
6.7%
N 3
 
6.7%
K 3
 
6.7%
W 2
 
4.4%
A 2
 
4.4%
M 2
 
4.4%
J 2
 
4.4%
Other values (9) 12
26.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
14.3%
o 6
10.7%
t 6
10.7%
n 6
10.7%
a 4
 
7.1%
i 4
 
7.1%
l 3
 
5.4%
r 3
 
5.4%
h 3
 
5.4%
k 2
 
3.6%
Other values (8) 11
19.6%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
4 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
51.3%
Latin 101
37.3%
Common 31
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
 
2.9%
구 3
 
2.2%
소 3
 
2.2%
울 3
 
2.2%
국 3
 
2.2%
방 3
 
2.2%
한 3
 
2.2%
청 3
 
2.2%
원 3
 
2.2%
산 3
 
2.2%
Other values (80) 108
77.7%
Latin
ValueCountFrequency (%)
e 8
 
7.9%
T 8
 
7.9%
o 6
 
5.9%
t 6
 
5.9%
n 6
 
5.9%
E 5
 
5.0%
a 4
 
4.0%
i 4
 
4.0%
l 3
 
3.0%
r 3
 
3.0%
Other values (27) 48
47.5%
Common
ValueCountFrequency (%)
24
77.4%
0 2
 
6.5%
4 1
 
3.2%
1 1
 
3.2%
_ 1
 
3.2%
: 1
 
3.2%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
51.3%
ASCII 132
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
18.2%
e 8
 
6.1%
T 8
 
6.1%
o 6
 
4.5%
t 6
 
4.5%
n 6
 
4.5%
E 5
 
3.8%
a 4
 
3.0%
i 4
 
3.0%
l 3
 
2.3%
Other values (34) 58
43.9%
Hangul
ValueCountFrequency (%)
주 4
 
2.9%
구 3
 
2.2%
소 3
 
2.2%
울 3
 
2.2%
국 3
 
2.2%
방 3
 
2.2%
한 3
 
2.2%
청 3
 
2.2%
원 3
 
2.2%
산 3
 
2.2%
Other values (80) 108
77.7%

인기지수수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2021-05-31
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-05-31
2nd row2021-05-31
3rd row2021-05-31
4th row2021-05-31
5th row2021-05-31

Common Values

ValueCountFrequency (%)
2021-05-31 25
100.0%

Length

2023-12-10T23:20:58.304315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:58.433465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-05-31 25
100.0%

인기지수채널설명
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing6
Missing (%)24.0%
Memory size332.0 B
2023-12-10T23:20:58.708618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length578
Median length73
Mean length144.52632
Min length17

Characters and Unicode

Total characters2746
Distinct characters407
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row광고문의 (콜라보문의 가능) jiwonbj@naver.com 페이스북 찌워니 인스타그램 jiwonbj
2nd rowKBS 전설적 레전드 예능프로그램이 모두 여기! 슈퍼스타 리즈시절 대공개 #깔깔티비 #깔깔 #원조 레전드 예능 1박2일 #전설아닌레전드 공포의쿵쿵따 유재석 강호동 #물대포맛집 위험한초대 이효리 하지원 김태희 #대환장시트콤 골든빌리지 금촌댁네사람들 이영자 #코인노래방아니고 쟁반노래방 유재석 이효리 #올드 미스 다이어리 #1박2일 정주행 #1박2일 레전드 #해피투게더 시즌3 #웃지마 사우나 #청춘불패 시즌1; 시즌 2 #스타 히~~스토리 #레전드순삭
3rd row인스타 @jj_d_m_pp 고양이를 좋아하는 사람의 소소한채널; [고양이와 소소한생활] 입니다. 16년 3월 25일; 길냥이였던 쫄냥이를 만났고; 출산이 임박해보이는 커다란 배를 보고 멸치라도 줄까 집에 들인 이후 쭉; 집사의 길을 걸어가고 있습니다. 초보 집사로 좌충우돌 해 가며 현재 반려묘 네마리; 쫄냥까망단추뿌꾸를 키우고 있습니다. 고양이로 인해 많이 웃게되는 나날을 함께하고 싶습니다~^^
4th row종합 게임 영상 채널입니다. Gameplay
5th row매번 재밌는 유머 콘텐츠로 웃음을 드리는 조재원이 되겠습니다! 앞으로 조재원의 신규 콘텐츠 많이 기대해주세요! 광고 및 비즈니스 문의 메일 : jojaewon@sandbox.co.kr 페이스북 : https:www.facebook.comjomansae 인스타그램 : https:m.instagram.comjojaewon0703 틱톡 : https:t.tiktok.comi18nshareuser6537453671877623810 无法阻止的兄妹 시나 웨이보 : https:weibo.com6471416204 도우인 : 无法阻止的兄妹
ValueCountFrequency (%)
14
 
3.0%
채널 5
 
1.1%
유튜브 5
 
1.1%
꼭 4
 
0.8%
공식 4
 
0.8%
1박2일 3
 
0.6%
있습니다 3
 
0.6%
많이 3
 
0.6%
and 3
 
0.6%
the 3
 
0.6%
Other values (389) 427
90.1%
2023-12-10T23:20:59.169440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
502
 
18.3%
o 86
 
3.1%
e 71
 
2.6%
. 59
 
2.1%
t 57
 
2.1%
a 53
 
1.9%
i 49
 
1.8%
n 49
 
1.8%
r 48
 
1.7%
s 36
 
1.3%
Other values (397) 1736
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1193
43.4%
Lowercase Letter 728
26.5%
Space Separator 502
18.3%
Other Punctuation 147
 
5.4%
Decimal Number 101
 
3.7%
Uppercase Letter 53
 
1.9%
Modifier Symbol 4
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Math Symbol 4
 
0.1%
Other values (2) 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 35
 
2.9%
다 33
 
2.8%
니 32
 
2.7%
고 24
 
2.0%
한 23
 
1.9%
는 22
 
1.8%
의 19
 
1.6%
하 18
 
1.5%
로 17
 
1.4%
주 16
 
1.3%
Other values (322) 954
80.0%
Lowercase Letter
ValueCountFrequency (%)
o 86
 
11.8%
e 71
 
9.8%
t 57
 
7.8%
a 53
 
7.3%
i 49
 
6.7%
n 49
 
6.7%
r 48
 
6.6%
s 36
 
4.9%
m 36
 
4.9%
c 27
 
3.7%
Other values (15) 216
29.7%
Uppercase Letter
ValueCountFrequency (%)
T 9
17.0%
I 5
 
9.4%
V 5
 
9.4%
B 3
 
5.7%
C 3
 
5.7%
K 3
 
5.7%
M 2
 
3.8%
D 2
 
3.8%
W 2
 
3.8%
Y 2
 
3.8%
Other values (10) 17
32.1%
Other Punctuation
ValueCountFrequency (%)
. 59
40.1%
; 22
 
15.0%
: 20
 
13.6%
# 15
 
10.2%
' 10
 
6.8%
! 9
 
6.1%
@ 8
 
5.4%
& 2
 
1.4%
* 1
 
0.7%
。 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 19
18.8%
7 13
12.9%
3 12
11.9%
2 10
9.9%
8 10
9.9%
0 10
9.9%
5 9
8.9%
6 7
 
6.9%
9 7
 
6.9%
4 4
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
[ 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
502
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
42.7%
Latin 781
28.4%
Common 772
28.1%
Han 20
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 35
 
3.0%
다 33
 
2.8%
니 32
 
2.7%
고 24
 
2.0%
한 23
 
2.0%
는 22
 
1.9%
의 19
 
1.6%
하 18
 
1.5%
로 17
 
1.4%
주 16
 
1.4%
Other values (309) 934
79.6%
Latin
ValueCountFrequency (%)
o 86
 
11.0%
e 71
 
9.1%
t 57
 
7.3%
a 53
 
6.8%
i 49
 
6.3%
n 49
 
6.3%
r 48
 
6.1%
s 36
 
4.6%
m 36
 
4.6%
c 27
 
3.5%
Other values (35) 269
34.4%
Common
ValueCountFrequency (%)
502
65.0%
. 59
 
7.6%
; 22
 
2.8%
: 20
 
2.6%
1 19
 
2.5%
# 15
 
1.9%
7 13
 
1.7%
3 12
 
1.6%
2 10
 
1.3%
' 10
 
1.3%
Other values (20) 90
 
11.7%
Han
ValueCountFrequency (%)
妹 2
10.0%
兄 2
10.0%
的 2
10.0%
止 2
10.0%
阻 2
10.0%
法 2
10.0%
无 2
10.0%
國 1
 
5.0%
韓 1
 
5.0%
到 1
 
5.0%
Other values (3) 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
56.5%
Hangul 1171
42.6%
CJK 20
 
0.7%
Compat Jamo 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
502
32.3%
o 86
 
5.5%
e 71
 
4.6%
. 59
 
3.8%
t 57
 
3.7%
a 53
 
3.4%
i 49
 
3.2%
n 49
 
3.2%
r 48
 
3.1%
s 36
 
2.3%
Other values (64) 542
34.9%
Hangul
ValueCountFrequency (%)
이 35
 
3.0%
다 33
 
2.8%
니 32
 
2.7%
고 24
 
2.0%
한 23
 
2.0%
는 22
 
1.9%
의 19
 
1.6%
하 18
 
1.5%
로 17
 
1.5%
주 16
 
1.4%
Other values (307) 932
79.6%
CJK
ValueCountFrequency (%)
妹 2
10.0%
兄 2
10.0%
的 2
10.0%
止 2
10.0%
阻 2
10.0%
法 2
10.0%
无 2
10.0%
國 1
 
5.0%
韓 1
 
5.0%
到 1
 
5.0%
Other values (3) 3
15.0%
None
ValueCountFrequency (%)
。 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
50.0%
ㅏ 1
50.0%

인기지수채널생성일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing11
Missing (%)44.0%
Memory size332.0 B
Minimum2011-04-07 00:00:00
Maximum2019-04-04 00:00:00
2023-12-10T23:20:59.324012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:59.504434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

인기지수채널아이콘
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:20:59.869915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length98
Mean length98.28
Min length96

Characters and Unicode

Total characters2457
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AAUvwnjnurqzwdkrxQSehmEFHRVLNmUnVFs8Q6uxeR_PKw=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwniS06dg-nq1VXvHxL2twmIL8zdmruQS199or3jK=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwngqhZxtgAZAgNbygp7OM9yeOok1ufyySzd83NeI=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwniTUttEk35FfC4Mb-K9U3Z1uXGCCnieBU2prZARCQ=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnjKNtXp3dpv1DvoF8UuvLBu5fW9PwfPrKi9FpRqqw=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwnjnurqzwdkrxqsehmefhrvlnmunvfs8q6uxer_pkw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnihg7b-y8qu0xr4wwdccleksmqcymk48cewk1xhgw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnj9zhz1wt-tnjtehtf5gny4ezhjgacc-yoei0nk=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnht3i66j_uq0gnjx4nhapb0hkl9yaeemaerojt7yq=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwniiq0ixk2x6mb8ah9pn_hxhpzuiiqu-xfh1adcwag=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnivrgxda6arpmaievncc0ygjbzq-2vgji1fvusu=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnjw6cazhucvqgquh636qia4mnnbhnktl4pdqty9=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnik8dlu3bnqjuqez8xmdh2ni17tbkl4_i2fadej=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnigojmq_1_ygu-vzgne_gkfceojdobvo8arooqy=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/aauvwnjowwnbvutgvnau0ngwkmslh2uybhkiqewayidn=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T23:21:00.333249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 167
 
6.8%
- 145
 
5.9%
t 136
 
5.5%
c 113
 
4.6%
/ 99
 
4.0%
0 94
 
3.8%
g 77
 
3.1%
h 76
 
3.1%
n 72
 
2.9%
8 70
 
2.8%
Other values (58) 1408
57.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1356
55.2%
Uppercase Letter 442
 
18.0%
Decimal Number 304
 
12.4%
Other Punctuation 174
 
7.1%
Dash Punctuation 145
 
5.9%
Math Symbol 25
 
1.0%
Connector Punctuation 11
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 167
 
12.3%
t 136
 
10.0%
c 113
 
8.3%
g 77
 
5.7%
h 76
 
5.6%
n 72
 
5.3%
y 65
 
4.8%
o 63
 
4.6%
p 62
 
4.6%
s 56
 
4.1%
Other values (16) 469
34.6%
Uppercase Letter
ValueCountFrequency (%)
A 67
 
15.2%
U 38
 
8.6%
Q 23
 
5.2%
N 21
 
4.8%
I 19
 
4.3%
E 17
 
3.8%
J 16
 
3.6%
K 15
 
3.4%
C 15
 
3.4%
G 15
 
3.4%
Other values (16) 196
44.3%
Decimal Number
ValueCountFrequency (%)
0 94
30.9%
8 70
23.0%
3 41
13.5%
9 16
 
5.3%
1 16
 
5.3%
6 16
 
5.3%
5 15
 
4.9%
4 13
 
4.3%
2 12
 
3.9%
7 11
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 99
56.9%
. 50
28.7%
: 25
 
14.4%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1798
73.2%
Common 659
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 167
 
9.3%
t 136
 
7.6%
c 113
 
6.3%
g 77
 
4.3%
h 76
 
4.2%
n 72
 
4.0%
A 67
 
3.7%
y 65
 
3.6%
o 63
 
3.5%
p 62
 
3.4%
Other values (42) 900
50.1%
Common
ValueCountFrequency (%)
- 145
22.0%
/ 99
15.0%
0 94
14.3%
8 70
10.6%
. 50
 
7.6%
3 41
 
6.2%
= 25
 
3.8%
: 25
 
3.8%
9 16
 
2.4%
1 16
 
2.4%
Other values (6) 78
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 167
 
6.8%
- 145
 
5.9%
t 136
 
5.5%
c 113
 
4.6%
/ 99
 
4.0%
0 94
 
3.8%
g 77
 
3.1%
h 76
 
3.1%
n 72
 
2.9%
8 70
 
2.8%
Other values (58) 1408
57.3%

인기지수호감도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2023-12-10T23:21:00.469070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:00.564578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

인기지수불호도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
25 

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 25
100.0%

Length

2023-12-10T23:21:00.669729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:00.776029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

채널인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)100.0%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean36.369565
Minimum9.17
Maximum105.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T23:21:00.892781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.17
5-th percentile14.228
Q116.655
median23.11
Q345.635
95-th percentile88.492
Maximum105.7
Range96.53
Interquartile range (IQR)28.98

Descriptive statistics

Standard deviation28.395253
Coefficient of variation (CV)0.78074216
Kurtosis0.47048742
Mean36.369565
Median Absolute Deviation (MAD)7.69
Skewness1.3228508
Sum836.5
Variance806.29039
MonotonicityNot monotonic
2023-12-10T23:21:01.024055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
88.61 1
 
4.0%
27.14 1
 
4.0%
105.7 1
 
4.0%
20.6 1
 
4.0%
9.17 1
 
4.0%
71.4 1
 
4.0%
87.43 1
 
4.0%
14.84 1
 
4.0%
27.58 1
 
4.0%
15.42 1
 
4.0%
Other values (13) 13
52.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
9.17 1
4.0%
14.16 1
4.0%
14.84 1
4.0%
15.01 1
4.0%
15.42 1
4.0%
16.01 1
4.0%
17.3 1
4.0%
19.71 1
4.0%
20.6 1
4.0%
20.73 1
4.0%
ValueCountFrequency (%)
105.7 1
4.0%
88.61 1
4.0%
87.43 1
4.0%
73.33 1
4.0%
71.4 1
4.0%
46.51 1
4.0%
44.76 1
4.0%
30.1 1
4.0%
27.58 1
4.0%
27.14 1
4.0%

채널호감도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.32
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T23:21:01.136947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile15.8
Maximum26
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.8858588
Coefficient of variation (CV)0.93130677
Kurtosis4.2280743
Mean6.32
Median Absolute Deviation (MAD)3
Skewness1.987233
Sum158
Variance34.643333
MonotonicityNot monotonic
2023-12-10T23:21:01.256422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 6
24.0%
3 5
20.0%
2 5
20.0%
4 1
 
4.0%
9 1
 
4.0%
1 1
 
4.0%
8 1
 
4.0%
26 1
 
4.0%
15 1
 
4.0%
16 1
 
4.0%
Other values (2) 2
 
8.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 5
20.0%
3 5
20.0%
4 1
 
4.0%
5 6
24.0%
8 1
 
4.0%
9 1
 
4.0%
10 1
 
4.0%
14 1
 
4.0%
15 1
 
4.0%
ValueCountFrequency (%)
26 1
 
4.0%
16 1
 
4.0%
15 1
 
4.0%
14 1
 
4.0%
10 1
 
4.0%
9 1
 
4.0%
8 1
 
4.0%
5 6
24.0%
4 1
 
4.0%
3 5
20.0%

불호도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
16 
3
8 
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
64.0%
3 8
32.0%
9 1
 
4.0%

Length

2023-12-10T23:21:01.390304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:01.512194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
64.0%
3 8
32.0%
9 1
 
4.0%

인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)100.0%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean3.5934783
Minimum0.88
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T23:21:01.646808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile1.387
Q11.63
median2.27
Q34.515
95-th percentile8.788
Maximum10.5
Range9.62
Interquartile range (IQR)2.885

Descriptive statistics

Standard deviation2.8289295
Coefficient of variation (CV)0.7872399
Kurtosis0.4707088
Mean3.5934783
Median Absolute Deviation (MAD)0.76
Skewness1.3230488
Sum82.65
Variance8.0028419
MonotonicityNot monotonic
2023-12-10T23:21:01.797840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.8 1
 
4.0%
2.67 1
 
4.0%
10.5 1
 
4.0%
2.02 1
 
4.0%
0.88 1
 
4.0%
7.08 1
 
4.0%
8.68 1
 
4.0%
1.45 1
 
4.0%
2.72 1
 
4.0%
1.51 1
 
4.0%
Other values (13) 13
52.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
0.88 1
4.0%
1.38 1
4.0%
1.45 1
4.0%
1.47 1
4.0%
1.51 1
4.0%
1.57 1
4.0%
1.69 1
4.0%
1.93 1
4.0%
2.02 1
4.0%
2.04 1
4.0%
ValueCountFrequency (%)
10.5 1
4.0%
8.8 1
4.0%
8.68 1
4.0%
7.28 1
4.0%
7.08 1
4.0%
4.6 1
4.0%
4.43 1
4.0%
2.97 1
4.0%
2.72 1
4.0%
2.67 1
4.0%

호감도표준점수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1144
Minimum-0.71
Maximum3.47
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)72.0%
Memory size357.0 B
2023-12-10T23:21:01.931433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.71
5-th percentile-0.65
Q1-0.47
median-0.18
Q30.41
95-th percentile1.674
Maximum3.47
Range4.18
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.98424709
Coefficient of variation (CV)8.6035585
Kurtosis4.7093412
Mean0.1144
Median Absolute Deviation (MAD)0.35
Skewness2.0861242
Sum2.86
Variance0.96874233
MonotonicityNot monotonic
2023-12-10T23:21:02.058640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-0.18 5
20.0%
-0.41 3
12.0%
-0.65 2
 
8.0%
-0.53 2
 
8.0%
-0.24 1
 
4.0%
-0.06 1
 
4.0%
1.41 1
 
4.0%
0.71 1
 
4.0%
1.71 1
 
4.0%
1.53 1
 
4.0%
Other values (7) 7
28.0%
ValueCountFrequency (%)
-0.71 1
 
4.0%
-0.65 2
 
8.0%
-0.59 1
 
4.0%
-0.53 2
 
8.0%
-0.47 1
 
4.0%
-0.41 3
12.0%
-0.35 1
 
4.0%
-0.24 1
 
4.0%
-0.18 5
20.0%
-0.06 1
 
4.0%
ValueCountFrequency (%)
3.47 1
 
4.0%
1.71 1
 
4.0%
1.53 1
 
4.0%
1.41 1
 
4.0%
0.71 1
 
4.0%
0.53 1
 
4.0%
0.41 1
 
4.0%
-0.06 1
 
4.0%
-0.18 5
20.0%
-0.24 1
 
4.0%

불호도표준점수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
-1
16 
0
8 
2
 
1

Length

Max length2
Median length2
Mean length1.64
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
-1 16
64.0%
0 8
32.0%
2 1
 
4.0%

Length

2023-12-10T23:21:02.246877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:02.405404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
64.0%
0 8
32.0%
2 1
 
4.0%

인기지수표준점수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct20
Distinct (%)87.0%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean-0.081304348
Minimum-0.68
Maximum1.46
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)64.0%
Memory size357.0 B
2023-12-10T23:21:02.530894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.68
5-th percentile-0.569
Q1-0.515
median-0.38
Q30.125
95-th percentile1.077
Maximum1.46
Range2.14
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.63077373
Coefficient of variation (CV)-7.7581795
Kurtosis0.47286675
Mean-0.081304348
Median Absolute Deviation (MAD)0.17
Skewness1.3254518
Sum-1.87
Variance0.39787549
MonotonicityNot monotonic
2023-12-10T23:21:02.683292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-0.56 2
 
8.0%
-0.38 2
 
8.0%
-0.43 2
 
8.0%
-0.22 1
 
4.0%
-0.55 1
 
4.0%
-0.29 1
 
4.0%
1.46 1
 
4.0%
-0.68 1
 
4.0%
0.7 1
 
4.0%
1.05 1
 
4.0%
Other values (10) 10
40.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
-0.68 1
4.0%
-0.57 1
4.0%
-0.56 2
8.0%
-0.55 1
4.0%
-0.53 1
4.0%
-0.5 1
4.0%
-0.45 1
4.0%
-0.43 2
8.0%
-0.38 2
8.0%
-0.34 1
4.0%
ValueCountFrequency (%)
1.46 1
4.0%
1.08 1
4.0%
1.05 1
4.0%
0.74 1
4.0%
0.7 1
4.0%
0.14 1
4.0%
0.11 1
4.0%
-0.22 1
4.0%
-0.28 1
4.0%
-0.29 1
4.0%

Interactions

2023-12-10T23:20:55.780182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.163540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.519974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.964002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.310505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.854653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.242089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.595146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.031650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.389656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.934776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.313705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.670089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.102065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.497502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:56.029771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.380751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.774682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.170140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.607970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:56.411836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.446590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:54.869108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.238010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:55.707275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:21:02.790157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인기지수채널ID인기지수채널명인기지수채널설명인기지수채널생성일자인기지수채널아이콘채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
인기지수채널ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널아이콘1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널인기지수1.0001.0001.0001.0001.0001.0000.8610.0001.0000.5360.0001.000
채널호감도1.0001.0001.0001.0001.0000.8611.0000.8250.8610.9480.8250.861
불호도1.0001.0001.0001.0001.0000.0000.8251.0000.0000.9581.0000.000
인기지수1.0001.0001.0001.0001.0001.0000.8610.0001.0000.5360.0001.000
호감도표준점수1.0001.0001.0001.0001.0000.5360.9480.9580.5361.0000.9580.536
불호도표준점수1.0001.0001.0001.0001.0000.0000.8251.0000.0000.9581.0000.000
인기지수표준점수1.0001.0001.0001.0001.0001.0000.8610.0001.0000.5360.0001.000
2023-12-10T23:21:02.948427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
불호도표준점수불호도
불호도표준점수1.0001.000
불호도1.0001.000
2023-12-10T23:21:03.053257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널인기지수채널호감도인기지수호감도표준점수인기지수표준점수불호도불호도표준점수
채널인기지수1.0000.6031.0000.6130.9990.0000.000
채널호감도0.6031.0000.6030.9900.6130.6940.694
인기지수1.0000.6031.0000.6130.9990.0000.000
호감도표준점수0.6130.9900.6131.0000.6230.6940.694
인기지수표준점수0.9990.6130.9990.6231.0000.0000.000
불호도0.0000.6940.0000.6940.0001.0001.000
불호도표준점수0.0000.6940.0000.6940.0001.0001.000

Missing values

2023-12-10T23:20:56.520663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:20:56.731138image/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.
2023-12-10T23:20:56.877142image/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
0UC-rL1o4m5UamXY7lzGw8P8Q찌워니의 삶2021-05-31광고문의 (콜라보문의 가능) jiwonbj@naver.com 페이스북 찌워니 인스타그램 jiwonbj<NA>https://yt3.ggpht.com/ytc/AAUvwnjnurqzwdkrxQSehmEFHRVLNmUnVFs8Q6uxeR_PKw=s88-c-k-c0x00ffffff-no-rj0016.01431.57-0.240-0.53
1UC0yvvSJLpQLPU6u6-ZaBXvg부산여성가족개발원2021-05-31<NA>2016-12-02https://yt3.ggpht.com/ytc/AAUvwniS06dg-nq1VXvHxL2twmIL8zdmruQS199or3jK=s88-c-k-c0x00ffffff-no-rj00<NA>30<NA>-0.41-1<NA>
2UC256C9U-lYhr5-Or7vvCrvQThat Korean Girl 돌돌콩2021-05-31<NA><NA>https://yt3.ggpht.com/ytc/AAUvwngqhZxtgAZAgNbygp7OM9yeOok1ufyySzd83NeI=s88-c-k-c0x00ffffff-no-rj0088.61908.80.53-11.08
3UC271vX3c3kYZsgpz7-zPBoAKBS Entertain: 깔깔티비2021-05-31KBS 전설적 레전드 예능프로그램이 모두 여기! 슈퍼스타 리즈시절 대공개 #깔깔티비 #깔깔 #원조 레전드 예능 1박2일 #전설아닌레전드 공포의쿵쿵따 유재석 강호동 #물대포맛집 위험한초대 이효리 하지원 김태희 #대환장시트콤 골든빌리지 금촌댁네사람들 이영자 #코인노래방아니고 쟁반노래방 유재석 이효리 #올드 미스 다이어리 #1박2일 정주행 #1박2일 레전드 #해피투게더 시즌3 #웃지마 사우나 #청춘불패 시즌1; 시즌 2 #스타 히~~스토리 #레전드순삭2019-04-04https://yt3.ggpht.com/ytc/AAUvwniTUttEk35FfC4Mb-K9U3Z1uXGCCnieBU2prZARCQ=s88-c-k-c0x00ffffff-no-rj0017.3201.69-0.65-1-0.5
4UC28lbdOHnj-leok6tHIx7ew고양이와 소소한생활2021-05-31인스타 @jj_d_m_pp 고양이를 좋아하는 사람의 소소한채널; [고양이와 소소한생활] 입니다. 16년 3월 25일; 길냥이였던 쫄냥이를 만났고; 출산이 임박해보이는 커다란 배를 보고 멸치라도 줄까 집에 들인 이후 쭉; 집사의 길을 걸어가고 있습니다. 초보 집사로 좌충우돌 해 가며 현재 반려묘 네마리; 쫄냥까망단추뿌꾸를 키우고 있습니다. 고양이로 인해 많이 웃게되는 나날을 함께하고 싶습니다~^^2013-09-30https://yt3.ggpht.com/ytc/AAUvwnjKNtXp3dpv1DvoF8UuvLBu5fW9PwfPrKi9FpRqqw=s88-c-k-c0x00ffffff-no-rj0044.76504.43-0.18-10.11
5UC2RP9LCRt8AkMZAgujPkRjg예순Games2021-05-31종합 게임 영상 채널입니다. Gameplay<NA>https://yt3.ggpht.com/ytc/AAUvwngrgCIvsNkis7B3QcBBmFSx_wfkzStP8-VuvRXcTg=s88-c-k-c0x00ffffff-no-rj0030.1302.97-0.41-1-0.22
6UC2o_y872S6YvaO1K8EYnoxg조재원2021-05-31매번 재밌는 유머 콘텐츠로 웃음을 드리는 조재원이 되겠습니다! 앞으로 조재원의 신규 콘텐츠 많이 기대해주세요! 광고 및 비즈니스 문의 메일 : jojaewon@sandbox.co.kr 페이스북 : https:www.facebook.comjomansae 인스타그램 : https:m.instagram.comjojaewon0703 틱톡 : https:t.tiktok.comi18nshareuser6537453671877623810 无法阻止的兄妹 시나 웨이보 : https:weibo.com6471416204 도우인 : 无法阻止的兄妹<NA>https://yt3.ggpht.com/ytc/AAUvwnhvRiAhbgkQ-9DOm4mREK55ONpxE7Z7MW-HL3NJvj4=s88-c-k-c0x00ffffff-no-rj0046.51504.6-0.18-10.14
7UC35SH2IZCoDAyjdM_BKNVlA붓싼뉴스 - 부산광역시 공식 유튜브 채널2021-05-31안녕하세요. 부산광역시 공식 유튜브 채널 붓싼뉴스 입니다. 여러분에게 꼭 필요한 부산시 정책 콘텐츠를 주기적으로 업데이트해 올리고 있습니다. 붓싼뉴스에서 더 새로운 부산을 만나보세요 :D The official Youtube channel of Busan Metropolitan CIty.2011-04-07https://yt3.ggpht.com/ytc/AAUvwnjJw9Pfxv5oIZU0bUaruwUlknCYNJnm3squ2Q8JEw=s88-c-k-c0x00ffffff-no-rj0023.11102.27-0.71-1-0.38
8UC3GEDF05hzA8xTyN0ZTZWag우피터 WOOPETER2021-05-31스포츠 전문 채널 우피터입니다. for business : peterbenjaminparker00798@gmail.com<NA>https://yt3.ggpht.com/ytc/AAUvwng8Yuscq8F1xvckuBj5lGuz790J1zavUpcuqzBaQg=s88-c-k-c0x00ffffff-no-rj0019.71531.93-0.180-0.45
9UC3Md9z1EkkGs8htNkRG3VewCAMAN카맨2021-05-31안녕하세요 카맨입니다 WOW! 문의 : didf2017@gmail.com2014-02-10https://yt3.ggpht.com/ytc/AAUvwnibGf1yHBJi53QR68vT_JlK2OFq0SqcxxWXaRnYmw=s88-c-k-c0x00ffffff-no-rj0014.16331.38-0.470-0.57
인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
15UC6c5kjucINs9l9WyIcGd4gA한국여행추천TV2021-05-31. 한국의 멋진 풍경을 소개하고 보여주는 TV입니다 여기 오신 모든 분들을 축복하고 ㅅ ㅏ랑합니다. The wonderful scenery of Korea It's an introduction and presentation TV. Everyone who's here. Bless you and I love you. 歡迎來到韓國。 올려진 영상은 저작권 보호를 받습니다 허가없는 편집; 재배포는 금지합니다. 링크공유는 무한 환영합니다. The uploaded video is copyright protected. Unauthorized editing and redistribution are prohibited. Link-sharing is an infinite welcome. 촬영 등에 관한 문의 : kreli1958@gmail.com (촉박한 일정사절; 기타 협의가능) For more information on photography; etc.; please visit kreli1958@gmail.com (A short-term agreement; other consultations are possible) . .2013-02-18https://yt3.ggpht.com/ytc/AAUvwnidHX0u4zuARA0-2jmg5Y-q6XqvNvhKM5ND5qzcXw=s88-c-k-c0x00ffffff-no-rj0015.42531.51-0.060-0.55
16UC7WMB_czX5jF__5kqT4d9Ww대한민국청와대2021-05-31청와대 공식 유튜브 채널입니다.2017-05-26https://yt3.ggpht.com/ytc/AAUvwnjOwWnbVuTGvnau0ngwKmSlH2UyBhkIQEWayIdN=s88-c-k-c0x00ffffff-no-rj0027.582692.723.472-0.28
17UC7YDpATpEB2TuxMuPCxIRsw갑부주방아울렛2021-05-31업소용주방용품 창고형매장 갑부주방아울렛입니다. 에어컨 저온창고 냉동기수리 무엇이든! 식당&카페에 관한 어떠한 것도 한번에 한방에 넉넉하게 해결해보세요. TV서민갑부 출연을 비롯한 30번이상의 방송출연으로 더욱 믿을 수 있는 주방업체입니다.^^ 모두가 갑부되는 넉넉한 주방! 함께성장하는 마음으로 성장하겠습니다.<NA>https://yt3.ggpht.com/ytc/AAUvwnigoJMQ_1_yGu-vZGnE_gkfcEojDObVO8arOOQy=s88-c-k-c0x00ffffff-no-rj0014.84531.45-0.180-0.56
18UC7bQXKhLtAfCTWWWHUzOoUQ광주동구2021-05-31<NA>2016-12-09https://yt3.ggpht.com/ytc/AAUvwniK8DlU3BnQJuQez8XmdH2Ni17TBKL4_i2fAdeJ=s88-c-k-c0x00ffffff-no-rj0087.431508.681.53-11.05
19UC91LhNN7zZ6gM-BR-gzwj0A서울기술연구원Seoul Institute of Technology2021-05-31<NA>2018-12-10https://yt3.ggpht.com/ytc/AAUvwnjW6CaZHUcVQgQuH636Qia4mnNbhNkTl4pdqtY9=s88-c-k-c0x00ffffff-no-rj0071.41637.081.7100.7
20UC9SZ7d8YtD4C_zWuGCoNM7AJET 10042021-05-31<NA><NA>https://yt3.ggpht.com/ytc/AAUvwnivRGxda6arPMAIEVNCc0yGJbzq-2VgJI1FVuSU=s88-c-k-c0x00ffffff-no-rj00<NA>100<NA>0.71-1<NA>
21UC9T8wL0qUwhpcKSv73J5dqA모터피디2021-05-31영상으로 만나는 자동차 매거진 - Auto Magazine www.motorpd.com Facebook: facebook.commotorpd Twitter: twitter.commotorpd1 Instagram: instagrammotorpd1 Google+:plus.google.com113593086973172778755about<NA>https://yt3.ggpht.com/ytc/AAUvwniiq0iXK2X6mb8aH9pN_hxhPZuIIqU-xfh1aDcWag=s88-c-k-c0x00ffffff-no-rj009.17230.88-0.650-0.68
22UC9a4SPvT4XLn98EMUSD40Eg쪼성환2021-05-31쪼성환이라고 합니다. 영상 한 번만 보세요. 문의:tjdghks3989@naver.com<NA>https://yt3.ggpht.com/ytc/AAUvwnht3I66J_uq0gnjx4nHApB0hKL9yAEemaErojT7yQ=s88-c-k-c0x00ffffff-no-rj0020.6202.02-0.53-1-0.43
23UCA_sH8tAjjakRDWfLKN3FDQ울산 남구 고래방송국TV2021-05-31울산 남구청 공식 유튜브 채널 고래방송국TV 입니다. 직원들이 직접 참여한 콘텐츠 많이 기대해주세요!2019-01-21https://yt3.ggpht.com/ytc/AAUvwnj9zhz1wt-TNJtEhTf5gnY4EzhjGACC-yOEi0nk=s88-c-k-c0x00ffffff-no-rj00105.714010.51.41-11.46
24UCDkQMlfo7GvgvnrkPawW9tg홍개2021-05-31다양한 게임들의 흥미로운 스토리를 깔끔히 정리해 드립니다.<NA>https://yt3.ggpht.com/ytc/AAUvwnhrMSflrgk7nT5nAC0A8LeAY3ODoFmzhSgEqwc7=s88-c-k-c0x00ffffff-no-rj0027.14302.67-0.41-1-0.29