Overview

Dataset statistics

Number of variables14
Number of observations24
Missing cells20
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory114.5 B

Variable types

Text6
DateTime2
Categorical2
Numeric3
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/44b10fdd-cdeb-4792-a12f-3eea9598c2b5

Alerts

수집일 has constant value ""Constant
구독자수비공개정보 has constant value ""Constant
수 is highly overall correlated with 채널분석조회수High correlation
채널분석조회수 is highly overall correlated with 수High correlation
설명 has 5 (20.8%) missing valuesMissing
키워드 has 8 (33.3%) missing valuesMissing
영상ID has 7 (29.2%) missing valuesMissing
경로명 has unique valuesUnique
생성일 has unique valuesUnique
아이콘명 has unique valuesUnique
채널명 has unique valuesUnique
수 has unique valuesUnique
영상 has unique valuesUnique
채널분석조회수 has unique valuesUnique
영상 has 1 (4.2%) zerosZeros
채널분석조회수 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-10 14:06:32.532575
Analysis finished2023-12-10 14:06:35.804840
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경로명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:06:36.126358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1344
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UCiGeWRkwZJL1ZH_1ImaZwmg
2nd rowhttps://www.youtube.com/channel/UCRKkIDf1-APzp2txv0jJgdw
3rd rowhttps://www.youtube.com/channel/UCO4UBaxePgGCFYOb3QFtDHQ
4th rowhttps://www.youtube.com/channel/UCCrdUpoKth5s8ynUq_9p9Xg
5th rowhttps://www.youtube.com/channel/UCfDWSYJhJfvZm-abHS1lH6Q
ValueCountFrequency (%)
https://www.youtube.com/channel/ucigewrkwzjl1zh_1imazwmg 1
 
4.2%
https://www.youtube.com/channel/ucrkkidf1-apzp2txv0jjgdw 1
 
4.2%
https://www.youtube.com/channel/ucz7yrlrto4rfhiv0lt4vhza 1
 
4.2%
https://www.youtube.com/channel/ucmdk3e8pdrwjpygjkgwtkoa 1
 
4.2%
https://www.youtube.com/channel/uccwhvmf749p_wewlun_nywa 1
 
4.2%
https://www.youtube.com/channel/ucjsw45ungfrrzz_0xszkt5q 1
 
4.2%
https://www.youtube.com/channel/uccue85pu-mmyqeel50j2cqw 1
 
4.2%
https://www.youtube.com/channel/uckxvx8lnp_tkilde378ohug 1
 
4.2%
https://www.youtube.com/channel/ucenyd8oh9ducgyrj6svu5ea 1
 
4.2%
https://www.youtube.com/channel/ucqrnqg3ugvod3sa-f_txusa 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T23:06:36.759602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 96
 
7.1%
w 83
 
6.2%
t 77
 
5.7%
e 57
 
4.2%
u 56
 
4.2%
c 55
 
4.1%
h 54
 
4.0%
n 53
 
3.9%
o 53
 
3.9%
. 48
 
3.6%
Other values (57) 712
53.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 809
60.2%
Uppercase Letter 266
 
19.8%
Other Punctuation 168
 
12.5%
Decimal Number 81
 
6.0%
Connector Punctuation 11
 
0.8%
Dash Punctuation 9
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 83
 
10.3%
t 77
 
9.5%
e 57
 
7.0%
u 56
 
6.9%
c 55
 
6.8%
h 54
 
6.7%
n 53
 
6.6%
o 53
 
6.6%
a 40
 
4.9%
b 35
 
4.3%
Other values (16) 246
30.4%
Uppercase Letter
ValueCountFrequency (%)
U 36
 
13.5%
C 32
 
12.0%
Z 15
 
5.6%
P 13
 
4.9%
Q 12
 
4.5%
A 12
 
4.5%
E 11
 
4.1%
W 11
 
4.1%
H 10
 
3.8%
J 10
 
3.8%
Other values (16) 104
39.1%
Decimal Number
ValueCountFrequency (%)
5 11
13.6%
8 10
12.3%
3 10
12.3%
7 9
11.1%
0 9
11.1%
4 8
9.9%
6 7
8.6%
2 6
7.4%
1 6
7.4%
9 5
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 96
57.1%
. 48
28.6%
: 24
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1075
80.0%
Common 269
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 83
 
7.7%
t 77
 
7.2%
e 57
 
5.3%
u 56
 
5.2%
c 55
 
5.1%
h 54
 
5.0%
n 53
 
4.9%
o 53
 
4.9%
a 40
 
3.7%
U 36
 
3.3%
Other values (42) 511
47.5%
Common
ValueCountFrequency (%)
/ 96
35.7%
. 48
17.8%
: 24
 
8.9%
5 11
 
4.1%
_ 11
 
4.1%
8 10
 
3.7%
3 10
 
3.7%
7 9
 
3.3%
- 9
 
3.3%
0 9
 
3.3%
Other values (5) 32
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 96
 
7.1%
w 83
 
6.2%
t 77
 
5.7%
e 57
 
4.2%
u 56
 
4.2%
c 55
 
4.1%
h 54
 
4.0%
n 53
 
3.9%
o 53
 
3.9%
. 48
 
3.6%
Other values (57) 712
53.0%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2021-09-01 00:00:00
Maximum2021-09-01 00:00:00
2023-12-10T23:06:36.969754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:37.137883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

생성일
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2008-06-04 00:00:00
Maximum2019-09-25 00:00:00
2023-12-10T23:06:37.308134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:37.499300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

아이콘명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:06:38.073226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length98
Mean length100.25
Min length94

Characters and Unicode

Total characters2406
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AKedOLQT0vh4wH45IjE9qONbhIImA4KiOEXL8eQ4GiJ8=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AKedOLQb17a6UtcrV3vjSNwlZ8cG8_qjXS-DFHdp9UsN=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AKedOLTBCAhsKeIjFXoaiEi4JR0OLeYI24TDq-GSYqKaIg=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AKedOLRStG_I5Sns8ymKDAwhkvMOthtVHyXuQihAyA=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AKedOLRaoS12a0GEFFZbl1oMcm_hyCzcvmLt4vdKH7Eujw=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/akedolqt0vh4wh45ije9qonbhiima4kioexl8eq4gij8=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedolqb17a6utcrv3vjsnwlz8cg8_qjxs-dfhdp9usn=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedolrnddspotl16yslai5payks7anwinewe3rxzs87qw=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedoltm6lt0h24cgut5wpymfqn0ccitlelkddc9wayx=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedolq7oasukfpxmtc1ew_undkzeyjsklkupnu-p0bh=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedolsdyprwjctynhnfcaahqohwbzaoltjevacdlaoz=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedolroly1olke3mxpkjuvdajayoqofjtxsqp_dwwq4oa=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedoltiqx6wxdpd6vdzbja5akst0-edmcxkjxqzrpphng=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/akedolrw1iz1h6f1cfjsgtm0kac0wgvcjso1i-q0wytw3a=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/aoobz9c5xjnhwualxkakj1ivbbrxhxxbtiz7g6ijjwf8ur1mgahumsm9j3def2h1qdlhqpkauns=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T23:06:38.815493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 157
 
6.5%
t 133
 
5.5%
- 132
 
5.5%
c 114
 
4.7%
/ 94
 
3.9%
0 90
 
3.7%
h 68
 
2.8%
g 65
 
2.7%
o 65
 
2.7%
s 65
 
2.7%
Other values (58) 1423
59.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1243
51.7%
Uppercase Letter 538
22.4%
Decimal Number 292
 
12.1%
Other Punctuation 166
 
6.9%
Dash Punctuation 132
 
5.5%
Math Symbol 24
 
1.0%
Connector Punctuation 11
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 157
 
12.6%
t 133
 
10.7%
c 114
 
9.2%
h 68
 
5.5%
g 65
 
5.2%
o 65
 
5.2%
s 65
 
5.2%
y 63
 
5.1%
p 60
 
4.8%
j 44
 
3.5%
Other values (16) 409
32.9%
Uppercase Letter
ValueCountFrequency (%)
A 45
 
8.4%
K 43
 
8.0%
O 39
 
7.2%
L 37
 
6.9%
I 28
 
5.2%
S 25
 
4.6%
X 23
 
4.3%
D 23
 
4.3%
R 20
 
3.7%
F 19
 
3.5%
Other values (16) 236
43.9%
Decimal Number
ValueCountFrequency (%)
0 90
30.8%
8 61
20.9%
3 39
13.4%
1 19
 
6.5%
4 17
 
5.8%
9 16
 
5.5%
5 14
 
4.8%
6 13
 
4.5%
7 13
 
4.5%
2 10
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 94
56.6%
. 48
28.9%
: 24
 
14.5%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Math Symbol
ValueCountFrequency (%)
= 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1781
74.0%
Common 625
 
26.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 157
 
8.8%
t 133
 
7.5%
c 114
 
6.4%
h 68
 
3.8%
g 65
 
3.6%
o 65
 
3.6%
s 65
 
3.6%
y 63
 
3.5%
p 60
 
3.4%
A 45
 
2.5%
Other values (42) 946
53.1%
Common
ValueCountFrequency (%)
- 132
21.1%
/ 94
15.0%
0 90
14.4%
8 61
9.8%
. 48
 
7.7%
3 39
 
6.2%
= 24
 
3.8%
: 24
 
3.8%
1 19
 
3.0%
4 17
 
2.7%
Other values (6) 77
12.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 157
 
6.5%
t 133
 
5.5%
- 132
 
5.5%
c 114
 
4.7%
/ 94
 
3.9%
0 90
 
3.7%
h 68
 
2.8%
g 65
 
2.7%
o 65
 
2.7%
s 65
 
2.7%
Other values (58) 1423
59.1%

설명
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing5
Missing (%)20.8%
Memory size324.0 B
2023-12-10T23:06:39.294260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length372
Median length62
Mean length100.78947
Min length19

Characters and Unicode

Total characters1915
Distinct characters312
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks4 ?
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 row-경상남도 공식 유튜브 채널입니다- '스마트 경남'의 다양한 소식을 재미있고 흥미로운 영상으로 여러분들께 전해드립니다. 많은 구독과 추천 부탁드려요^^ 공식 홈페이지 : http:www.gyeongnam.go.kr 인터넷뉴스 : http:www.gyeongnam.go.krnews 경남공감 : https:www.gyeongnam.go.krgonggam 페이스북 : https:www.facebook.comgsndkorea 카카오스토리 : https:story.kakao.comchgyeongnamstory 인스타그램 : http:instagram.comgsnd_korea 트위터 : https:twitter.comgyeongnamdo #경상남도 #경남도청 #경남
2nd row'쉽게 과학을 배우고 체험하는 과학놀이터'; 국립대구과학관 홍보 동영상을 소개합니다.
3rd rowAn ordinary VLOG of a Korean international student in New york
4th row스파이더맨 ; 헐크; 말레피센트 ; 조커 히어로들의 재밌는 일상
5th row통영시에서 운영하는 공식 유튜브 채널입니다. 통영관광; 통영소식 통영과 관련된 모든 소식을 알려드려요. 언제든지 놀러오세요. 환영합니다!
ValueCountFrequency (%)
16
 
4.7%
공식 5
 
1.5%
유튜브 4
 
1.2%
함께 3
 
0.9%
in 3
 
0.9%
for 3
 
0.9%
of 3
 
0.9%
and 3
 
0.9%
째 3
 
0.9%
the 2
 
0.6%
Other values (274) 295
86.8%
2023-12-10T23:06:39.972076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
331
 
17.3%
o 60
 
3.1%
e 59
 
3.1%
n 51
 
2.7%
t 46
 
2.4%
a 42
 
2.2%
. 37
 
1.9%
r 36
 
1.9%
s 33
 
1.7%
i 30
 
1.6%
Other values (302) 1190
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
39.5%
Lowercase Letter 585
30.5%
Space Separator 331
17.3%
Other Punctuation 112
 
5.8%
Uppercase Letter 100
 
5.2%
Decimal Number 12
 
0.6%
Close Punctuation 4
 
0.2%
Modifier Symbol 4
 
0.2%
Open Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Other values (5) 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 20
 
2.6%
다 18
 
2.4%
는 17
 
2.2%
하 16
 
2.1%
니 16
 
2.1%
복 15
 
2.0%
이 14
 
1.8%
관 13
 
1.7%
한 12
 
1.6%
과 12
 
1.6%
Other values (233) 604
79.8%
Lowercase Letter
ValueCountFrequency (%)
o 60
 
10.3%
e 59
 
10.1%
n 51
 
8.7%
t 46
 
7.9%
a 42
 
7.2%
r 36
 
6.2%
s 33
 
5.6%
i 30
 
5.1%
g 24
 
4.1%
c 23
 
3.9%
Other values (14) 181
30.9%
Uppercase Letter
ValueCountFrequency (%)
T 10
 
10.0%
I 9
 
9.0%
E 9
 
9.0%
B 6
 
6.0%
C 6
 
6.0%
S 5
 
5.0%
N 5
 
5.0%
O 5
 
5.0%
K 5
 
5.0%
L 5
 
5.0%
Other values (13) 35
35.0%
Other Punctuation
ValueCountFrequency (%)
. 37
33.0%
; 25
22.3%
: 20
17.9%
# 14
 
12.5%
! 9
 
8.0%
' 4
 
3.6%
@ 3
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
2 3
25.0%
3 2
16.7%
4 2
16.7%
6 1
 
8.3%
Space Separator
ValueCountFrequency (%)
331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
39.5%
Latin 685
35.8%
Common 473
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 20
 
2.6%
다 18
 
2.4%
는 17
 
2.2%
하 16
 
2.1%
니 16
 
2.1%
복 15
 
2.0%
이 14
 
1.8%
관 13
 
1.7%
한 12
 
1.6%
과 12
 
1.6%
Other values (233) 604
79.8%
Latin
ValueCountFrequency (%)
o 60
 
8.8%
e 59
 
8.6%
n 51
 
7.4%
t 46
 
6.7%
a 42
 
6.1%
r 36
 
5.3%
s 33
 
4.8%
i 30
 
4.4%
g 24
 
3.5%
c 23
 
3.4%
Other values (37) 281
41.0%
Common
ValueCountFrequency (%)
331
70.0%
. 37
 
7.8%
; 25
 
5.3%
: 20
 
4.2%
# 14
 
3.0%
! 9
 
1.9%
' 4
 
0.8%
) 4
 
0.8%
1 4
 
0.8%
^ 4
 
0.8%
Other values (12) 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1155
60.3%
Hangul 757
39.5%
Punctuation 2
 
0.1%
Misc Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
331
28.7%
o 60
 
5.2%
e 59
 
5.1%
n 51
 
4.4%
t 46
 
4.0%
a 42
 
3.6%
. 37
 
3.2%
r 36
 
3.1%
s 33
 
2.9%
i 30
 
2.6%
Other values (56) 430
37.2%
Hangul
ValueCountFrequency (%)
지 20
 
2.6%
다 18
 
2.4%
는 17
 
2.2%
하 16
 
2.1%
니 16
 
2.1%
복 15
 
2.0%
이 14
 
1.8%
관 13
 
1.7%
한 12
 
1.6%
과 12
 
1.6%
Other values (233) 604
79.8%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

범주
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
M
14 
P
9 
T
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowP
2nd rowP
3rd rowM
4th rowP
5th rowM

Common Values

ValueCountFrequency (%)
M 14
58.3%
P 9
37.5%
T 1
 
4.2%

Length

2023-12-10T23:06:40.236276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:06:40.396739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 14
58.3%
p 9
37.5%
t 1
 
4.2%

채널명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:06:40.650552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length8.0833333
Min length1

Characters and Unicode

Total characters194
Distinct characters109
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row갱남피셜 - 경상남도 공식 유튜브
2nd row국립대구과학관
3rd row웅라미Woongrami
4th row부산도시공사
5th rowJon Park Vlogs
ValueCountFrequency (%)
dance 2
 
5.4%
1
 
2.7%
기미티 1
 
2.7%
g 1
 
2.7%
haha 1
 
2.7%
ha 1
 
2.7%
디렉터 1
 
2.7%
파이 1
 
2.7%
p4pero 1
 
2.7%
갱남피셜 1
 
2.7%
Other values (26) 26
70.3%
2023-12-10T23:06:41.180795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
6.7%
a 10
 
5.2%
e 8
 
4.1%
o 7
 
3.6%
n 5
 
2.6%
l 4
 
2.1%
h 3
 
1.5%
V 3
 
1.5%
k 3
 
1.5%
B 3
 
1.5%
Other values (99) 135
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
45.4%
Lowercase Letter 59
30.4%
Uppercase Letter 31
 
16.0%
Space Separator 13
 
6.7%
Decimal Number 1
 
0.5%
Connector Punctuation 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 3
 
3.4%
공 3
 
3.4%
지 2
 
2.3%
영 2
 
2.3%
티 2
 
2.3%
남 2
 
2.3%
셜 2
 
2.3%
사 2
 
2.3%
시 2
 
2.3%
산 2
 
2.3%
Other values (58) 66
75.0%
Lowercase Letter
ValueCountFrequency (%)
a 10
16.9%
e 8
13.6%
o 7
11.9%
n 5
8.5%
l 4
 
6.8%
h 3
 
5.1%
k 3
 
5.1%
r 3
 
5.1%
g 3
 
5.1%
c 2
 
3.4%
Other values (9) 11
18.6%
Uppercase Letter
ValueCountFrequency (%)
V 3
 
9.7%
B 3
 
9.7%
T 3
 
9.7%
D 3
 
9.7%
L 2
 
6.5%
H 2
 
6.5%
P 2
 
6.5%
E 2
 
6.5%
S 2
 
6.5%
U 1
 
3.2%
Other values (8) 8
25.8%
Space Separator
ValueCountFrequency (%)
13
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 90
46.4%
Hangul 88
45.4%
Common 16
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 3
 
3.4%
공 3
 
3.4%
지 2
 
2.3%
영 2
 
2.3%
티 2
 
2.3%
남 2
 
2.3%
셜 2
 
2.3%
사 2
 
2.3%
시 2
 
2.3%
산 2
 
2.3%
Other values (58) 66
75.0%
Latin
ValueCountFrequency (%)
a 10
 
11.1%
e 8
 
8.9%
o 7
 
7.8%
n 5
 
5.6%
l 4
 
4.4%
h 3
 
3.3%
V 3
 
3.3%
k 3
 
3.3%
B 3
 
3.3%
r 3
 
3.3%
Other values (27) 41
45.6%
Common
ValueCountFrequency (%)
13
81.2%
4 1
 
6.2%
_ 1
 
6.2%
- 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
54.6%
Hangul 88
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
 
12.3%
a 10
 
9.4%
e 8
 
7.5%
o 7
 
6.6%
n 5
 
4.7%
l 4
 
3.8%
h 3
 
2.8%
V 3
 
2.8%
k 3
 
2.8%
B 3
 
2.8%
Other values (31) 47
44.3%
Hangul
ValueCountFrequency (%)
관 3
 
3.4%
공 3
 
3.4%
지 2
 
2.3%
영 2
 
2.3%
티 2
 
2.3%
남 2
 
2.3%
셜 2
 
2.3%
사 2
 
2.3%
시 2
 
2.3%
산 2
 
2.3%
Other values (58) 66
75.0%

수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2858638.3
Minimum17
Maximum60900000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:06:41.381000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile277.55
Q12690
median42100
Q3200250
95-th percentile2791000
Maximum60900000
Range60899983
Interquartile range (IQR)197560

Descriptive statistics

Standard deviation12383079
Coefficient of variation (CV)4.3318105
Kurtosis23.821028
Mean2858638.3
Median Absolute Deviation (MAD)41133.5
Skewness4.873246
Sum68607319
Variance1.5334065 × 1014
MonotonicityNot monotonic
2023-12-10T23:06:41.584096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13900 1
 
4.2%
54600 1
 
4.2%
883 1
 
4.2%
1050 1
 
4.2%
191 1
 
4.2%
7280 1
 
4.2%
768 1
 
4.2%
54900 1
 
4.2%
423000 1
 
4.2%
72500 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
17 1
4.2%
191 1
4.2%
768 1
4.2%
883 1
4.2%
1050 1
4.2%
1460 1
4.2%
3100 1
4.2%
4170 1
4.2%
7280 1
4.2%
13900 1
4.2%
ValueCountFrequency (%)
60900000 1
4.2%
2980000 1
4.2%
1720000 1
4.2%
1120000 1
4.2%
914000 1
4.2%
423000 1
4.2%
126000 1
4.2%
86400 1
4.2%
72500 1
4.2%
67700 1
4.2%

구독자수비공개정보
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size180.0 B
False
24 
ValueCountFrequency (%)
False 24
100.0%
2023-12-10T23:06:41.772265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

분석채널국가
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
KR
15 
<NA>
6 
US
 
1
AU
 
1
DE
 
1

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
KR 15
62.5%
<NA> 6
 
25.0%
US 1
 
4.2%
AU 1
 
4.2%
DE 1
 
4.2%

Length

2023-12-10T23:06:41.941959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:06:42.187416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 15
62.5%
na 6
 
25.0%
us 1
 
4.2%
au 1
 
4.2%
de 1
 
4.2%

키워드
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing8
Missing (%)33.3%
Memory size324.0 B
2023-12-10T23:06:42.666307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length49.5
Mean length55.875
Min length5

Characters and Unicode

Total characters894
Distinct characters228
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row경남 관광 경남맛집 창원맛집 추천여행지 인터넷방송 경남인터넷방송 경상남도인터넷방송 경남도청인터넷방송 경남관광 추천관광지 경상남도 김경수 김경수지사 갱남 경상도 경남도 슭곰 산기슭곰
2nd row국립대구과학관
3rd row뷰티유튜버 웅라미 네이버 뷰스타 일상 브이로그 뷰티 메이크업 틴트추천 쿠션 파운데이션 리뷰
4th rowJon park 박종규 Jongkyu park 존팍 폐인에서훈남되기 뉴욕 일상 뉴욕 유학생 미국 유학
5th row먹방 입짧은햇님
ValueCountFrequency (%)
rok 4
 
2.1%
경상남도 3
 
1.6%
일상 3
 
1.6%
웹드라마 2
 
1.0%
브이로그 2
 
1.0%
뉴욕 2
 
1.0%
통영 2
 
1.0%
재난 2
 
1.0%
dance 2
 
1.0%
park 2
 
1.0%
Other values (163) 168
87.5%
2023-12-10T23:06:43.766259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
19.7%
o 21
 
2.3%
남 19
 
2.1%
경 15
 
1.7%
상 15
 
1.7%
이 15
 
1.7%
영 14
 
1.6%
a 14
 
1.6%
여 14
 
1.6%
e 14
 
1.6%
Other values (218) 577
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
63.3%
Space Separator 176
 
19.7%
Lowercase Letter 121
 
13.5%
Uppercase Letter 24
 
2.7%
Decimal Number 5
 
0.6%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 19
 
3.4%
경 15
 
2.7%
상 15
 
2.7%
이 15
 
2.7%
영 14
 
2.5%
여 14
 
2.5%
행 13
 
2.3%
도 13
 
2.3%
방 11
 
1.9%
트 10
 
1.8%
Other values (181) 427
75.4%
Lowercase Letter
ValueCountFrequency (%)
o 21
17.4%
a 14
11.6%
e 14
11.6%
r 10
 
8.3%
k 8
 
6.6%
n 7
 
5.8%
h 6
 
5.0%
y 5
 
4.1%
p 5
 
4.1%
t 5
 
4.1%
Other values (10) 26
21.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
12.5%
P 3
12.5%
D 3
12.5%
R 3
12.5%
J 3
12.5%
O 2
8.3%
B 2
8.3%
S 1
 
4.2%
F 1
 
4.2%
Y 1
 
4.2%
Other values (2) 2
8.3%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
1 2
40.0%
9 1
20.0%
Space Separator
ValueCountFrequency (%)
176
100.0%
Other Punctuation
ValueCountFrequency (%)
# 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
63.3%
Common 183
 
20.5%
Latin 145
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 19
 
3.4%
경 15
 
2.7%
상 15
 
2.7%
이 15
 
2.7%
영 14
 
2.5%
여 14
 
2.5%
행 13
 
2.3%
도 13
 
2.3%
방 11
 
1.9%
트 10
 
1.8%
Other values (181) 427
75.4%
Latin
ValueCountFrequency (%)
o 21
14.5%
a 14
 
9.7%
e 14
 
9.7%
r 10
 
6.9%
k 8
 
5.5%
n 7
 
4.8%
h 6
 
4.1%
y 5
 
3.4%
p 5
 
3.4%
t 5
 
3.4%
Other values (22) 50
34.5%
Common
ValueCountFrequency (%)
176
96.2%
# 2
 
1.1%
4 2
 
1.1%
1 2
 
1.1%
9 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
63.3%
ASCII 328
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
53.7%
o 21
 
6.4%
a 14
 
4.3%
e 14
 
4.3%
r 10
 
3.0%
k 8
 
2.4%
n 7
 
2.1%
h 6
 
1.8%
y 5
 
1.5%
p 5
 
1.5%
Other values (27) 62
 
18.9%
Hangul
ValueCountFrequency (%)
남 19
 
3.4%
경 15
 
2.7%
상 15
 
2.7%
이 15
 
2.7%
영 14
 
2.5%
여 14
 
2.5%
행 13
 
2.3%
도 13
 
2.3%
방 11
 
1.9%
트 10
 
1.8%
Other values (181) 427
75.4%

영상ID
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing7
Missing (%)29.2%
Memory size324.0 B
2023-12-10T23:06:44.080536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters187
Distinct characters58
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

Unique17 ?
Unique (%)100.0%

Sample

1st row1_SB5j99V5Q
2nd rowXJkNKLUcsbo
3rd row2hYY9r2rBak
4th rowZZGavRLfExY
5th rowIMvN0Z_sdE8
ValueCountFrequency (%)
1_sb5j99v5q 1
 
5.9%
rziunlsks4w 1
 
5.9%
xg8x8iamiue 1
 
5.9%
8canxlejhvk 1
 
5.9%
epp2nnklrei 1
 
5.9%
oabti7avdqk 1
 
5.9%
uzxvn7ked0m 1
 
5.9%
mofb-j5iy2e 1
 
5.9%
q8erz8bruaw 1
 
5.9%
2hyy9r2rbak 1
 
5.9%
Other values (7) 7
41.2%
2023-12-10T23:06:44.608994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 9
 
4.8%
8 7
 
3.7%
Y 6
 
3.2%
a 6
 
3.2%
n 6
 
3.2%
k 5
 
2.7%
I 5
 
2.7%
2 5
 
2.7%
A 5
 
2.7%
B 5
 
2.7%
Other values (48) 128
68.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 86
46.0%
Lowercase Letter 69
36.9%
Decimal Number 29
 
15.5%
Connector Punctuation 2
 
1.1%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 9
 
10.5%
Y 6
 
7.0%
I 5
 
5.8%
A 5
 
5.8%
B 5
 
5.8%
L 5
 
5.8%
K 4
 
4.7%
R 4
 
4.7%
N 4
 
4.7%
X 4
 
4.7%
Other values (14) 35
40.7%
Lowercase Letter
ValueCountFrequency (%)
a 6
 
8.7%
n 6
 
8.7%
k 5
 
7.2%
z 5
 
7.2%
o 4
 
5.8%
m 4
 
5.8%
x 4
 
5.8%
r 4
 
5.8%
j 4
 
5.8%
v 3
 
4.3%
Other values (12) 24
34.8%
Decimal Number
ValueCountFrequency (%)
8 7
24.1%
2 5
17.2%
5 3
10.3%
7 3
10.3%
9 3
10.3%
4 3
10.3%
0 2
 
6.9%
6 1
 
3.4%
3 1
 
3.4%
1 1
 
3.4%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 155
82.9%
Common 32
 
17.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 9
 
5.8%
Y 6
 
3.9%
a 6
 
3.9%
n 6
 
3.9%
k 5
 
3.2%
I 5
 
3.2%
A 5
 
3.2%
B 5
 
3.2%
z 5
 
3.2%
L 5
 
3.2%
Other values (36) 98
63.2%
Common
ValueCountFrequency (%)
8 7
21.9%
2 5
15.6%
5 3
9.4%
7 3
9.4%
9 3
9.4%
4 3
9.4%
0 2
 
6.2%
_ 2
 
6.2%
6 1
 
3.1%
- 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 9
 
4.8%
8 7
 
3.7%
Y 6
 
3.2%
a 6
 
3.2%
n 6
 
3.2%
k 5
 
2.7%
I 5
 
2.7%
2 5
 
2.7%
A 5
 
2.7%
B 5
 
2.7%
Other values (48) 128
68.4%

영상
Real number (ℝ)

UNIQUE  ZEROS 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.70833
Minimum0
Maximum4663
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:06:44.861979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.3
Q1109.5
median314.5
Q3527.5
95-th percentile2305.15
Maximum4663
Range4663
Interquartile range (IQR)418

Descriptive statistics

Standard deviation1019.2041
Coefficient of variation (CV)1.6341038
Kurtosis11.155531
Mean623.70833
Median Absolute Deviation (MAD)216
Skewness3.1831358
Sum14969
Variance1038777.1
MonotonicityNot monotonic
2023-12-10T23:06:45.039959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4663 1
 
4.2%
0 1
 
4.2%
184 1
 
4.2%
459 1
 
4.2%
90 1
 
4.2%
66 1
 
4.2%
417 1
 
4.2%
116 1
 
4.2%
1473 1
 
4.2%
257 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
0 1
4.2%
1 1
4.2%
63 1
4.2%
66 1
4.2%
74 1
4.2%
90 1
4.2%
116 1
4.2%
180 1
4.2%
184 1
4.2%
221 1
4.2%
ValueCountFrequency (%)
4663 1
4.2%
2452 1
4.2%
1473 1
4.2%
1075 1
4.2%
659 1
4.2%
544 1
4.2%
522 1
4.2%
459 1
4.2%
420 1
4.2%
417 1
4.2%

채널분석조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0408283 × 108
Minimum0
Maximum1.9007798 × 1010
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:06:45.259921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5256.1
Q1335674.5
median5286138.5
Q345976219
95-th percentile1.2195971 × 109
Maximum1.9007798 × 1010
Range1.9007798 × 1010
Interquartile range (IQR)45640545

Descriptive statistics

Standard deviation3.8675599 × 109
Coefficient of variation (CV)4.2778823
Kurtosis23.676539
Mean9.0408283 × 108
Median Absolute Deviation (MAD)5155480
Skewness4.8530644
Sum2.1697988 × 1010
Variance1.495802 × 1019
MonotonicityNot monotonic
2023-12-10T23:06:45.472762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4077435 1
 
4.2%
0 1
 
4.2%
199317 1
 
4.2%
149306 1
 
4.2%
27317 1
 
4.2%
1870380 1
 
4.2%
112011 1
 
4.2%
7500816 1
 
4.2%
114538757 1
 
4.2%
21652709 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
0 1
4.2%
1363 1
4.2%
27317 1
4.2%
112011 1
4.2%
149306 1
4.2%
199317 1
4.2%
381127 1
4.2%
470306 1
4.2%
658907 1
4.2%
1870380 1
4.2%
ValueCountFrequency (%)
19007798245 1
4.2%
1316616648 1
4.2%
669819463 1
4.2%
378138996 1
4.2%
123633651 1
4.2%
114538757 1
4.2%
23122040 1
4.2%
21652709 1
4.2%
10379102 1
4.2%
8189820 1
4.2%

Interactions

2023-12-10T23:06:34.508959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:33.682154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:34.112770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:34.681307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:33.815839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:34.259780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:34.822111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:33.932085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:34.376129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:06:45.669865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경로명생성일아이콘명설명범주채널명수분석채널국가키워드영상ID영상채널분석조회수
경로명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
생성일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
아이콘명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
범주1.0001.0001.0001.0001.0001.0000.0000.0001.0001.0000.0000.000
채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수1.0001.0001.0001.0000.0001.0001.0000.000NaN1.0000.4820.640
분석채널국가1.0001.0001.0001.0000.0001.0000.0001.0001.0001.0000.0000.000
키워드1.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.000NaN
영상ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0000.0001.0000.4820.0001.0001.0001.0000.482
채널분석조회수1.0001.0001.0001.0000.0001.0000.6400.000NaN1.0000.4821.000
2023-12-10T23:06:45.902729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
범주분석채널국가
범주1.0000.000
분석채널국가0.0001.000
2023-12-10T23:06:46.438216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수영상채널분석조회수범주분석채널국가
수1.0000.3640.9200.0000.000
영상0.3641.0000.4580.0000.000
채널분석조회수0.9200.4581.0000.0000.000
범주0.0000.0000.0001.0000.000
분석채널국가0.0000.0000.0000.0001.000

Missing values

2023-12-10T23:06:35.076554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:06:35.411639image/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.
2023-12-10T23:06:35.696298image/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

경로명수집일생성일아이콘명설명범주채널명수구독자수비공개정보분석채널국가키워드영상ID영상채널분석조회수
0https://www.youtube.com/channel/UCiGeWRkwZJL1ZH_1ImaZwmg2021-09-012010-11-16https://yt3.ggpht.com/ytc/AKedOLQT0vh4wH45IjE9qONbhIImA4KiOEXL8eQ4GiJ8=s88-c-k-c0x00ffffff-no-rj-경상남도 공식 유튜브 채널입니다- '스마트 경남'의 다양한 소식을 재미있고 흥미로운 영상으로 여러분들께 전해드립니다. 많은 구독과 추천 부탁드려요^^ 공식 홈페이지 : http:www.gyeongnam.go.kr 인터넷뉴스 : http:www.gyeongnam.go.krnews 경남공감 : https:www.gyeongnam.go.krgonggam 페이스북 : https:www.facebook.comgsndkorea 카카오스토리 : https:story.kakao.comchgyeongnamstory 인스타그램 : http:instagram.comgsnd_korea 트위터 : https:twitter.comgyeongnamdo #경상남도 #경남도청 #경남P갱남피셜 - 경상남도 공식 유튜브13900FalseKR경남 관광 경남맛집 창원맛집 추천여행지 인터넷방송 경남인터넷방송 경상남도인터넷방송 경남도청인터넷방송 경남관광 추천관광지 경상남도 김경수 김경수지사 갱남 경상도 경남도 슭곰 산기슭곰1_SB5j99V5Q46634077435
1https://www.youtube.com/channel/UCRKkIDf1-APzp2txv0jJgdw2021-09-012015-01-16https://yt3.ggpht.com/ytc/AKedOLQb17a6UtcrV3vjSNwlZ8cG8_qjXS-DFHdp9UsN=s88-c-k-c0x00ffffff-no-rj'쉽게 과학을 배우고 체험하는 과학놀이터'; 국립대구과학관 홍보 동영상을 소개합니다.P국립대구과학관4170FalseKR국립대구과학관XJkNKLUcsbo544470306
2https://www.youtube.com/channel/UCO4UBaxePgGCFYOb3QFtDHQ2021-09-012012-09-19https://yt3.ggpht.com/ytc/AKedOLTBCAhsKeIjFXoaiEi4JR0OLeYI24TDq-GSYqKaIg=s88-c-k-c0x00ffffff-no-rj<NA>M웅라미Woongrami1460FalseKR뷰티유튜버 웅라미 네이버 뷰스타 일상 브이로그 뷰티 메이크업 틴트추천 쿠션 파운데이션 리뷰2hYY9r2rBak63658907
3https://www.youtube.com/channel/UCCrdUpoKth5s8ynUq_9p9Xg2021-09-012016-07-25https://yt3.ggpht.com/ytc/AKedOLRStG_I5Sns8ymKDAwhkvMOthtVHyXuQihAyA=s88-c-k-c0x00ffffff-no-rj<NA>P부산도시공사17False<NA><NA><NA>11363
4https://www.youtube.com/channel/UCfDWSYJhJfvZm-abHS1lH6Q2021-09-012014-01-18https://yt3.ggpht.com/ytc/AKedOLRaoS12a0GEFFZbl1oMcm_hyCzcvmLt4vdKH7Eujw=s88-c-k-c0x00ffffff-no-rjAn ordinary VLOG of a Korean international student in New yorkMJon Park Vlogs86400FalseUSJon park 박종규 Jongkyu park 존팍 폐인에서훈남되기 뉴욕 일상 뉴욕 유학생 미국 유학ZZGavRLfExY748189820
5https://www.youtube.com/channel/UC-Bsa2ivAGWq7bsSPrPGFVA2021-09-012015-12-08https://yt3.ggpht.com/ytc/AKedOLSf2504inAdzuRZfJyFgSsN1P4xjsuOGUZqjgSPrw=s88-c-k-c0x00ffffff-no-rj<NA>M입짧은햇님1720000FalseKR먹방 입짧은햇님IMvN0Z_sdE82452669819463
6https://www.youtube.com/channel/UCsTbc9ZmxgdzZM-8q-b6yug2021-09-012016-05-06https://yt3.ggpht.com/ytc/AKedOLRhV_vvafxPWnTc8VaXIZCHSXKS4H90o0-FsY9VDA=s88-c-k-c0x00ffffff-no-rj스파이더맨 ; 헐크; 말레피센트 ; 조커 히어로들의 재밌는 일상M호빵 TV67700FalseKRhow to make toymon<NA>18023122040
7https://www.youtube.com/channel/UCaijie_uqaAQQCt_fCZ-5qQ2021-09-012019-09-25https://yt3.ggpht.com/x3WGaDfInwFFgXEc67rKsIqSV9n0xmv9xHBvSp_enTb_bifEQXb-zFghbzPTjUTmeDdwbDiIngU=s88-c-k-c0x00ffffff-no-rj통영시에서 운영하는 공식 유튜브 채널입니다. 통영관광; 통영소식 통영과 관련된 모든 소식을 알려드려요. 언제든지 놀러오세요. 환영합니다!P통영티비_통영시공식유튜브3100FalseKR통영시 통영 통영여행 국내여행 남해여행 통영여행코스 통영여행지 남해여행지 경남여행 경상남도 경상남도 통영 통영축제 통영관광 경남관광 통영여행코스추천 주말여행 섬여행 욕지도 비진도 한산도 매물도 여름 바다 밤이 아름다운 도시 문화재 야행Dxd6j3jWnEA221381127
8https://www.youtube.com/channel/UC3IZKseVpdzPSBaWxBxundA2021-09-012008-06-04https://yt3.ggpht.com/ytc/AKedOLRPqF65CIc0pbXoyyY4xdFZQ7q9XMd1LPYxBoIQLg=s88-c-k-c0x00ffffff-no-rjWelcome to the official YouTube channel of HYBE; the content hub for BIGHIT MUSIC; BELIFT LAB; SOURCE MUSIC; PLEDIS Entertainment; KOZ ENTERTAINMENT and more.MHYBE LABELS60900000FalseKR<NA>ymaIzkXY8nQ65919007798245
9https://www.youtube.com/channel/UChbE5OZQ6dRHECsX0tEPEZQ2021-09-012014-06-11https://yt3.ggpht.com/ytc/AKedOLRll74CPn1IynhB3OvzExc4AZkJo0ZjcJeCswQ7eA=s88-c-k-c0x00ffffff-no-rj비즈니스 문의: jangbbijju@metacomedy.net 스튜디오장삐쭈 지원하기: recruit@studiojbbj.comM장삐쭈2980000False<NA><NA>AmNSCazg7og3681316616648
경로명수집일생성일아이콘명설명범주채널명수구독자수비공개정보분석채널국가키워드영상ID영상채널분석조회수
14https://www.youtube.com/channel/UCOp66Vup07X0YziXaaxqs2A2021-09-012015-10-12https://yt3.ggpht.com/ytc/AKedOLSdMbI_eZH5Qzo4WHEg-IFWV3oL5kwWIMYjq5673Q=s88-c-k-c0x00ffffff-no-rj<NA>Mhaha ha1120000FalseKR동물 고양이 hahaha cat dogmoFB-j5iY2E420378138996
15https://www.youtube.com/channel/UCqrNqg3UgVoD3Sa-F_TxuSA2021-09-012016-03-23https://yt3.ggpht.com/aOObZ9C5XjNHwUaLXKAkJ1iVbbrXHXXBTiZ7G6IjjwF8UR1mGAhumsm9J3def2h1qDlhQpKAuns=s88-c-k-c0x00ffffff-no-rjTOP of TOP 착한화장품 찾기M디렉터 파이914000False<NA><NA><NA>261123633651
16https://www.youtube.com/channel/UCENyD8OH9DUCGyRj6SVU5EA2021-09-012014-07-07https://yt3.ggpht.com/ytc/AKedOLRw1IZ1H6f1cfJsgtm0KAC0wgVCJSo1i-q0WyTW3A=s88-c-k-c0x00ffffff-no-rjHello! We are a 4 member girl group based in Brisbane; Australia. We love to cover Kpop dances for fun :) Hope you enjoy our videos and please subscribe and support us~ ^_^MP4pero Dance72500FalseAUP4pero Dance P4pero Pepero DanceUzxVn7KEd0M25721652709
17https://www.youtube.com/channel/UCkxvX8lNP_TkiLde378oHUg2021-09-012017-03-02https://yt3.ggpht.com/ytc/AKedOLTIqx6wXdpD6vDzBja5aksT0-edmcxkjxqZRPpHng=s88-c-k-c0x00ffffff-no-rj엄마의 손맛이 생각날때. 한식과 다양한 음식의 요리 과정을 설명과 함께 보는 맛있는 요리 채널.M뚝딱Tooktak423000FalseKRcook food 푸드 한식 음식 집밥oABTi7aVDQk1473114538757
18https://www.youtube.com/channel/UCCUE85pU-MMYqeEl50J2cQw2021-09-012016-05-03https://yt3.ggpht.com/ytc/AKedOLROLY1oLKE3MXPKJUvDAjayoQOfjTXSqp_dwWQ4OA=s88-c-k-c0x00ffffff-no-rjthis channel is focused on Kpop in Public dance videos!MUnlabeled Dance54900FalseDE<NA>EPP2nnKLreI1167500816
19https://www.youtube.com/channel/UCJSw45UNgfrrZz_0xsZKT5Q2021-09-012017-08-31https://yt3.ggpht.com/ytc/AKedOLSDypRwJCtyNhnFCaahQOhwBZaOltjEvACDlAOz=s88-c-k-c0x00ffffff-no-rjSmart Energy ICT Leader; KDN 혁신과 상생으로 미래 에너지 가치를 만들어가는 ICT 공기업P한전KDN768False<NA><NA><NA>417112011
20https://www.youtube.com/channel/UCcWHvMF749p_WEWlUn_NyWA2021-09-012018-10-25https://yt3.ggpht.com/ytc/AKedOLQ7oASukfpXmtc1eW_uNdkZEYJSkLKupnU-p0Bh=s88-c-k-c0x00ffffff-no-rj우리 시대의 다큐멘터리; MBC스페셜 공식 유튜브 채널 입니다.TMBC 스페셜7280FalseKR다큐멘터리<NA>661870380
21https://www.youtube.com/channel/UCMdk3e8PDrwJPYgJkGWTkOA2021-09-012017-09-22https://yt3.ggpht.com/ytc/AKedOLTM6lt0H24cGUt5WPYMFQn0cCITlELKDDc9WAYx=s88-c-k-c0x00ffffff-no-rj성수종합사회복지관은 성수 4개동(성수1가1동; 1가2동; 2가1동; 2가3동); 용답동과 송정동 총 6개동을 관할하여 서비스 제공; 사례관리 및 지역네트워크(주민조직화) 사회복지 3대 기능 사업을 수행하고자 설립되었습니다. ‘행복한 사람이 모인 행복한 복지관’이라는 슬로건 아래 지역주민들이 보다 건강하고 행복한 삶을 살 수 있도록 지원합니다. 아울러 첫 째; 소통하고 감동이 있는 복지관 둘 째; 지역사회와 함께 발전하는 복지관 셋 째; 사회복지를 연구하고 실천하는 복지관이라는 비전과 함께 지역사회 복지 증진을 위해 끊임없이 노력하고 있습니다. :)P성수종합사회복지관191False<NA><NA><NA>9027317
22https://www.youtube.com/channel/UCz7YRlrTo4rFHIv0LT4vHzA2021-09-012019-04-08https://yt3.ggpht.com/ytc/AKedOLRnDDSPotL16ysLai5PAyKs7aNwINewe3rxZS87qw=s88-c-k-c0x00ffffff-no-rj안녕하세요. 사랑으로 섬기는 중랑노인복지관 입니다.♡ 중랑노인종합복지관 유튜브 채널에서는 어르신이 출연하는 컨텐츠가 꾸준히 업로드 됩니다. 건강한 노년을 보내는 방법을 소개하고 있으니; 자주 찾아 주세요! :D #건강한노년 #치매예방 #장수비결 #건강정보 #건강백세 #중랑노인종합복지관 #어르신유튜브 #노인정보 #좋은영상 # 교육 #행복한인생P중랑노인복지관1050FalseKR노인건강 장수비결 치매예방 중랑노인종합복지관 어르신유튜브8CanXLeJhvk459149306
23https://www.youtube.com/channel/UCDcfRn7jWaPaeuJ1OJBfP4A2021-09-012018-06-12https://yt3.ggpht.com/ytc/AKedOLSwYW02xRqTvgcvdknOIyT1OKVgf0REmFm9CgZ8=s88-c-k-c0x00ffffff-no-rj충남의 중심; 역동하는 예산! 사과와 온천의 고장; 예산군 공식 유튜브입니다.P예산군883False<NA><NA>4S24TYJZVRE184199317