Overview

Dataset statistics

Number of variables14
Number of observations24
Missing cells14
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory114.5 B

Variable types

Text6
Categorical3
DateTime1
Numeric3
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/98175bbf-82bd-4163-ac8c-64c97738af43

Alerts

수집일 has constant value ""Constant
분석채널국가 is highly overall correlated with 구독자수비공개정보High correlation
구독자수비공개정보 is highly overall correlated with 영상 and 1 other fieldsHigh correlation
수 is highly overall correlated with 영상 and 1 other fieldsHigh correlation
영상 is highly overall correlated with 수 and 2 other fieldsHigh correlation
채널분석조회수 is highly overall correlated with 수 and 2 other fieldsHigh correlation
범주 is highly overall correlated with 채널분석조회수High correlation
구독자수비공개정보 is highly imbalanced (75.0%)Imbalance
분석채널국가 is highly imbalanced (55.0%)Imbalance
설명 has 3 (12.5%) missing valuesMissing
키워드 has 6 (25.0%) missing valuesMissing
영상ID has 5 (20.8%) 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
수 has 1 (4.2%) zerosZeros
영상 has 1 (4.2%) zerosZeros
채널분석조회수 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-10 14:23:56.415364
Analysis finished2023-12-10 14:23:58.599854
Duration2.18 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
2023-12-10T23:23:58.811173image/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/UC91GUX1cDq1Yq4ijm77iqWQ
2nd rowhttps://www.youtube.com/channel/UCuUe-oocxqzkbw47s7m0ZOQ
3rd rowhttps://www.youtube.com/channel/UC1aaTtgKSF9QtkcwKhTmS6A
4th rowhttps://www.youtube.com/channel/UC43IUfUkRQZa-Dsnbqri6Iw
5th rowhttps://www.youtube.com/channel/UCudHnr647v6z1f3E3DkOarw
ValueCountFrequency (%)
https://www.youtube.com/channel/uc91gux1cdq1yq4ijm77iqwq 1
 
4.2%
https://www.youtube.com/channel/ucuue-oocxqzkbw47s7m0zoq 1
 
4.2%
https://www.youtube.com/channel/ucihruk1pwjpsukyspatfgsq 1
 
4.2%
https://www.youtube.com/channel/ucjgvrxsetep2o2f1eiopnga 1
 
4.2%
https://www.youtube.com/channel/ucqn1fqrr2ocjse6nl4glvhw 1
 
4.2%
https://www.youtube.com/channel/ucrh7j5gst7mwuefwjornlfg 1
 
4.2%
https://www.youtube.com/channel/ucidegtyz0-jzvfr-bowaivg 1
 
4.2%
https://www.youtube.com/channel/ucbbc0faznmgjduehiuqvyma 1
 
4.2%
https://www.youtube.com/channel/ucbjc-rpi20c0jpku5jhjldq 1
 
4.2%
https://www.youtube.com/channel/uc3vlu5ziv8njjin3iq-86kw 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T23:23:59.214245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 96
 
7.1%
w 88
 
6.5%
t 85
 
6.3%
n 59
 
4.4%
e 58
 
4.3%
u 57
 
4.2%
c 56
 
4.2%
o 54
 
4.0%
h 53
 
3.9%
. 48
 
3.6%
Other values (57) 690
51.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 835
62.1%
Uppercase Letter 240
 
17.9%
Other Punctuation 168
 
12.5%
Decimal Number 92
 
6.8%
Dash Punctuation 8
 
0.6%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 88
 
10.5%
t 85
 
10.2%
n 59
 
7.1%
e 58
 
6.9%
u 57
 
6.8%
c 56
 
6.7%
o 54
 
6.5%
h 53
 
6.3%
m 34
 
4.1%
p 34
 
4.1%
Other values (16) 257
30.8%
Uppercase Letter
ValueCountFrequency (%)
U 36
15.0%
C 30
 
12.5%
H 14
 
5.8%
Q 13
 
5.4%
A 11
 
4.6%
E 11
 
4.6%
M 11
 
4.6%
Y 9
 
3.8%
J 8
 
3.3%
O 8
 
3.3%
Other values (16) 89
37.1%
Decimal Number
ValueCountFrequency (%)
6 14
15.2%
7 13
14.1%
0 11
12.0%
3 10
10.9%
1 9
9.8%
8 8
8.7%
2 8
8.7%
4 8
8.7%
9 6
6.5%
5 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 96
57.1%
. 48
28.6%
: 24
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

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

Most frequent character per script

Latin
ValueCountFrequency (%)
w 88
 
8.2%
t 85
 
7.9%
n 59
 
5.5%
e 58
 
5.4%
u 57
 
5.3%
c 56
 
5.2%
o 54
 
5.0%
h 53
 
4.9%
U 36
 
3.3%
m 34
 
3.2%
Other values (42) 495
46.0%
Common
ValueCountFrequency (%)
/ 96
35.7%
. 48
17.8%
: 24
 
8.9%
6 14
 
5.2%
7 13
 
4.8%
0 11
 
4.1%
3 10
 
3.7%
1 9
 
3.3%
8 8
 
3.0%
2 8
 
3.0%
Other values (5) 28
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 96
 
7.1%
w 88
 
6.5%
t 85
 
6.3%
n 59
 
4.4%
e 58
 
4.3%
u 57
 
4.2%
c 56
 
4.2%
o 54
 
4.0%
h 53
 
3.9%
. 48
 
3.6%
Other values (57) 690
51.3%

수집일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2021-06-01
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-06-01
2nd row2021-06-01
3rd row2021-06-01
4th row2021-06-01
5th row2021-06-01

Common Values

ValueCountFrequency (%)
2021-06-01 24
100.0%

Length

2023-12-10T23:23:59.351351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:59.444292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-06-01 24
100.0%

생성일
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2011-12-30 00:00:00
Maximum2019-08-10 00:00:00
2023-12-10T23:23:59.545803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:59.657477image/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
2023-12-10T23:23:59.975682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length98
Mean length97.458333
Min length96

Characters and Unicode

Total characters2339
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/AAUvwnj_Os3-7xSu-28WZlEibUJiU9pRpkq-f3NSljGbVA=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnj8advZC3mRihzy_7KghDHR8W2PBKMvDQhnLqOWZQ=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnjfD6NLqDu4izZhGHTM5baN9yoFaAKRuzznDDf6=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwnhfjuHKIecMfWzgxOT1aMjHkjRu87KpTlXEdjZouA=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnhrM0nol3CdjGEU8FLZLxYJm-gULsFtg5i9eDeD2Q=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwnj_os3-7xsu-28wzleibujiu9prpkq-f3nsljgbva=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnj8advzc3mrihzy_7kghdhr8w2pbkmvdqhnlqowzq=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnihq2h3eonag7ubqm7wyespohyzymmq1xtnq2jccq=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwni2gjjuweu94pmmxmgoktmddzvc9h5wkvjahptpga=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnjfkgougkoh_mgbyv2ijhquxpcvfdeycilqyh3pmq=s88-c-k-c0x00ffffff-no-rj-mo 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnigi6weggh7ounz5jnd6oid1fzzpirie7arwtkv=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnhftve9bd8uojkfqlh0c9xclf55iw6uvyvib_5d1a=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwniib23k5xqd0pwwiveho9qmxs-ng3jfaj1uoghd1w=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnijgw-yvaehtib_nbsop1hadw9reced4w6xuiwh=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
https://yt3.ggpht.com/ytc/aauvwnjsicfqmbrtgdi-si-3mi3vl7m_qazn-sqj8_eiaw=s88-c-k-c0x00ffffff-no-rj 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T23:24:00.477005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 160
 
6.8%
- 135
 
5.8%
t 128
 
5.5%
c 115
 
4.9%
/ 96
 
4.1%
0 84
 
3.6%
h 71
 
3.0%
g 67
 
2.9%
o 66
 
2.8%
p 65
 
2.8%
Other values (58) 1352
57.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1285
54.9%
Uppercase Letter 434
 
18.6%
Decimal Number 280
 
12.0%
Other Punctuation 168
 
7.2%
Dash Punctuation 135
 
5.8%
Math Symbol 24
 
1.0%
Connector Punctuation 13
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 160
 
12.5%
t 128
 
10.0%
c 115
 
8.9%
h 71
 
5.5%
g 67
 
5.2%
o 66
 
5.1%
p 65
 
5.1%
n 62
 
4.8%
y 61
 
4.7%
s 60
 
4.7%
Other values (16) 430
33.5%
Uppercase Letter
ValueCountFrequency (%)
A 61
 
14.1%
U 38
 
8.8%
Z 21
 
4.8%
L 19
 
4.4%
Q 18
 
4.1%
F 18
 
4.1%
M 17
 
3.9%
D 17
 
3.9%
J 17
 
3.9%
H 16
 
3.7%
Other values (16) 192
44.2%
Decimal Number
ValueCountFrequency (%)
0 84
30.0%
8 61
21.8%
3 37
13.2%
5 17
 
6.1%
6 15
 
5.4%
9 15
 
5.4%
2 15
 
5.4%
7 14
 
5.0%
1 12
 
4.3%
4 10
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 96
57.1%
. 48
28.6%
: 24
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Math Symbol
ValueCountFrequency (%)
= 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1719
73.5%
Common 620
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 160
 
9.3%
t 128
 
7.4%
c 115
 
6.7%
h 71
 
4.1%
g 67
 
3.9%
o 66
 
3.8%
p 65
 
3.8%
n 62
 
3.6%
y 61
 
3.5%
A 61
 
3.5%
Other values (42) 863
50.2%
Common
ValueCountFrequency (%)
- 135
21.8%
/ 96
15.5%
0 84
13.5%
8 61
9.8%
. 48
 
7.7%
3 37
 
6.0%
= 24
 
3.9%
: 24
 
3.9%
5 17
 
2.7%
6 15
 
2.4%
Other values (6) 79
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2339
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 160
 
6.8%
- 135
 
5.8%
t 128
 
5.5%
c 115
 
4.9%
/ 96
 
4.1%
0 84
 
3.6%
h 71
 
3.0%
g 67
 
2.9%
o 66
 
2.8%
p 65
 
2.8%
Other values (58) 1352
57.8%

설명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing3
Missing (%)12.5%
Memory size324.0 B
2023-12-10T23:24:00.823195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length814
Median length78
Mean length137.47619
Min length14

Characters and Unicode

Total characters2887
Distinct characters401
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row한국특허정보원은 국내·외 산업재산권 정보를 효율적으로 보급하고 산업재산권 정보를 조사·분석하여 제공함으로써 산업의 국제경쟁력을 제고하고 기술발전에 기여함을 목적으로 설립된 특허청 산하의 특허기술정보 종합서비스 전문기관입니다.
2nd row안녕하세요 오드입니다! 제 채널을 아직 구독하지 않으셨다면 구독하기 꼭 눌러주세요! 메이크업 패션 일상 등등 영상으로 만나용 인스타그램 allday.ood subscribe my channel and follow my instagram 'allday.ood' thank you
3rd row베이킹하는 순설♥촬영하는 순남 '순백설탕'의 톡톡 튀는 베이킹&요리 레시피를 소개해요. 간단하지만 예쁘게 완성하는 오븐 베이킹; 오븐없이도 근사한 노오븐 베이킹! 캐릭터 베이킹 등 다양한 영상을 업로드합니다. 또; 가끔은 커플 '순설&순남'의 달달한 데이트; 먹방도 보실 수 있답니다♥ ▶[화금] 저녁 8시 영상 업로드! (라이브는 랜덤~) 구독하기&좋아요 꾹 눌러주세요. 감사합니다. Hello. Soonseol introduces baking & cooking recipes. :) ▶ Upload recipe video 2~3 times a week! Please subscribe & like. Thank you. :) FACEBOOK@순백설탕(Soonseol) INSTAGRAM@soonseol Blog.naver.comyettiemon E-mail : yettiemon@naver.com
4th row재미있는 DIY 프로젝트; 공예품; 직접 체험하는 기쁨을 경험하십시오!
5th row**1** 유트루의 첫번째 채널! 함께 메이크업하는 뷰티채널이에용 :)
ValueCountFrequency (%)
32
 
6.1%
subscribers 6
 
1.1%
유튜브 6
 
1.1%
현 5
 
1.0%
my 5
 
1.0%
인스타그램 4
 
0.8%
전 3
 
0.6%
영상을 3
 
0.6%
베이킹 3
 
0.6%
2020 3
 
0.6%
Other values (405) 453
86.6%
2023-12-10T23:24:01.200750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
559
 
19.4%
s 69
 
2.4%
e 66
 
2.3%
o 65
 
2.3%
i 61
 
2.1%
a 61
 
2.1%
n 60
 
2.1%
0 54
 
1.9%
. 53
 
1.8%
r 45
 
1.6%
Other values (391) 1794
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1106
38.3%
Lowercase Letter 749
25.9%
Space Separator 559
19.4%
Decimal Number 168
 
5.8%
Other Punctuation 148
 
5.1%
Uppercase Letter 70
 
2.4%
Close Punctuation 29
 
1.0%
Open Punctuation 25
 
0.9%
Dash Punctuation 17
 
0.6%
Math Symbol 6
 
0.2%
Other values (3) 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 28
 
2.5%
다 22
 
2.0%
하 20
 
1.8%
니 20
 
1.8%
영 18
 
1.6%
로 17
 
1.5%
기 17
 
1.5%
상 16
 
1.4%
는 15
 
1.4%
스 14
 
1.3%
Other values (312) 919
83.1%
Lowercase Letter
ValueCountFrequency (%)
s 69
 
9.2%
e 66
 
8.8%
o 65
 
8.7%
i 61
 
8.1%
a 61
 
8.1%
n 60
 
8.0%
r 45
 
6.0%
l 36
 
4.8%
c 35
 
4.7%
m 35
 
4.7%
Other values (14) 216
28.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
 
8.6%
S 6
 
8.6%
I 6
 
8.6%
E 5
 
7.1%
A 5
 
7.1%
R 5
 
7.1%
P 4
 
5.7%
H 4
 
5.7%
M 4
 
5.7%
C 4
 
5.7%
Other values (12) 21
30.0%
Decimal Number
ValueCountFrequency (%)
0 54
32.1%
2 31
18.5%
1 26
15.5%
3 16
 
9.5%
6 9
 
5.4%
5 7
 
4.2%
7 7
 
4.2%
8 7
 
4.2%
4 7
 
4.2%
9 4
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 53
35.8%
: 22
14.9%
; 21
 
14.2%
! 16
 
10.8%
* 10
 
6.8%
@ 9
 
6.1%
' 9
 
6.1%
& 6
 
4.1%
· 2
 
1.4%
Other Symbol
ValueCountFrequency (%)
♥ 2
33.3%
▶ 2
33.3%
♬ 1
16.7%
♡ 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 27
93.1%
] 2
 
6.9%
Open Punctuation
ValueCountFrequency (%)
( 23
92.0%
[ 2
 
8.0%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
→ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1104
38.2%
Common 962
33.3%
Latin 819
28.4%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 28
 
2.5%
다 22
 
2.0%
하 20
 
1.8%
니 20
 
1.8%
영 18
 
1.6%
로 17
 
1.5%
기 17
 
1.5%
상 16
 
1.4%
는 15
 
1.4%
스 14
 
1.3%
Other values (310) 917
83.1%
Latin
ValueCountFrequency (%)
s 69
 
8.4%
e 66
 
8.1%
o 65
 
7.9%
i 61
 
7.4%
a 61
 
7.4%
n 60
 
7.3%
r 45
 
5.5%
l 36
 
4.4%
c 35
 
4.3%
m 35
 
4.3%
Other values (36) 286
34.9%
Common
ValueCountFrequency (%)
559
58.1%
0 54
 
5.6%
. 53
 
5.5%
2 31
 
3.2%
) 27
 
2.8%
1 26
 
2.7%
( 23
 
2.4%
: 22
 
2.3%
; 21
 
2.2%
- 17
 
1.8%
Other values (23) 129
 
13.4%
Han
ValueCountFrequency (%)
向 1
50.0%
志 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1772
61.4%
Hangul 1102
38.2%
Misc Symbols 4
 
0.1%
Compat Jamo 2
 
0.1%
Geometric Shapes 2
 
0.1%
None 2
 
0.1%
CJK 2
 
0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
559
31.5%
s 69
 
3.9%
e 66
 
3.7%
o 65
 
3.7%
i 61
 
3.4%
a 61
 
3.4%
n 60
 
3.4%
0 54
 
3.0%
. 53
 
3.0%
r 45
 
2.5%
Other values (63) 679
38.3%
Hangul
ValueCountFrequency (%)
이 28
 
2.5%
다 22
 
2.0%
하 20
 
1.8%
니 20
 
1.8%
영 18
 
1.6%
로 17
 
1.5%
기 17
 
1.5%
상 16
 
1.5%
는 15
 
1.4%
스 14
 
1.3%
Other values (309) 915
83.0%
Misc Symbols
ValueCountFrequency (%)
♥ 2
50.0%
♬ 1
25.0%
♡ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
▶ 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
CJK
ValueCountFrequency (%)
向 1
50.0%
志 1
50.0%

범주
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
M
18 
P
5 
T
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
M 18
75.0%
P 5
 
20.8%
T 1
 
4.2%

Length

2023-12-10T23:24:01.319949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:01.402331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 18
75.0%
p 5
 
20.8%
t 1
 
4.2%

채널명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:24:01.590300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15.5
Mean length10.166667
Min length2

Characters and Unicode

Total characters244
Distinct characters116
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row한국특허정보원
2nd rowOod 오드
3rd row루코 ruko
4th rowSoonseol BAKERY 순백설탕
5th row도레미 DOREMI
ValueCountFrequency (%)
2
 
4.1%
한국특허정보원 1
 
2.0%
ood 1
 
2.0%
한국형사·법무정책연구원 1
 
2.0%
mbc 1
 
2.0%
미스터리 1
 
2.0%
심야괴담회 1
 
2.0%
x 1
 
2.0%
서프라이즈 1
 
2.0%
주하의 1
 
2.0%
Other values (38) 38
77.6%
2023-12-10T23:24:01.934749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
10.2%
e 12
 
4.9%
o 11
 
4.5%
n 9
 
3.7%
a 9
 
3.7%
l 6
 
2.5%
i 6
 
2.5%
T 5
 
2.0%
C 4
 
1.6%
O 4
 
1.6%
Other values (106) 153
62.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 85
34.8%
Other Letter 82
33.6%
Uppercase Letter 46
18.9%
Space Separator 25
 
10.2%
Other Punctuation 4
 
1.6%
Dash Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
즐 2
 
2.4%
비 2
 
2.4%
한 2
 
2.4%
건 2
 
2.4%
미 2
 
2.4%
국 2
 
2.4%
라 2
 
2.4%
뚜 2
 
2.4%
원 2
 
2.4%
정 2
 
2.4%
Other values (61) 62
75.6%
Lowercase Letter
ValueCountFrequency (%)
e 12
14.1%
o 11
12.9%
n 9
10.6%
a 9
10.6%
l 6
 
7.1%
i 6
 
7.1%
s 4
 
4.7%
g 4
 
4.7%
r 4
 
4.7%
k 3
 
3.5%
Other values (11) 17
20.0%
Uppercase Letter
ValueCountFrequency (%)
T 5
 
10.9%
C 4
 
8.7%
O 4
 
8.7%
V 3
 
6.5%
S 3
 
6.5%
R 3
 
6.5%
A 3
 
6.5%
Y 3
 
6.5%
M 3
 
6.5%
I 2
 
4.3%
Other values (8) 13
28.3%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
: 1
25.0%
; 1
25.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 131
53.7%
Hangul 82
33.6%
Common 31
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
즐 2
 
2.4%
비 2
 
2.4%
한 2
 
2.4%
건 2
 
2.4%
미 2
 
2.4%
국 2
 
2.4%
라 2
 
2.4%
뚜 2
 
2.4%
원 2
 
2.4%
정 2
 
2.4%
Other values (61) 62
75.6%
Latin
ValueCountFrequency (%)
e 12
 
9.2%
o 11
 
8.4%
n 9
 
6.9%
a 9
 
6.9%
l 6
 
4.6%
i 6
 
4.6%
T 5
 
3.8%
C 4
 
3.1%
O 4
 
3.1%
s 4
 
3.1%
Other values (29) 61
46.6%
Common
ValueCountFrequency (%)
25
80.6%
· 2
 
6.5%
- 1
 
3.2%
: 1
 
3.2%
; 1
 
3.2%
5 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160
65.6%
Hangul 82
33.6%
None 2
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
 
15.6%
e 12
 
7.5%
o 11
 
6.9%
n 9
 
5.6%
a 9
 
5.6%
l 6
 
3.8%
i 6
 
3.8%
T 5
 
3.1%
C 4
 
2.5%
O 4
 
2.5%
Other values (34) 69
43.1%
Hangul
ValueCountFrequency (%)
즐 2
 
2.4%
비 2
 
2.4%
한 2
 
2.4%
건 2
 
2.4%
미 2
 
2.4%
국 2
 
2.4%
라 2
 
2.4%
뚜 2
 
2.4%
원 2
 
2.4%
정 2
 
2.4%
Other values (61) 62
75.6%
None
ValueCountFrequency (%)
· 2
100.0%

수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444480.25
Minimum0
Maximum4150000
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:24:02.046442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.5
Q11638.75
median64700
Q3337250
95-th percentile2592500
Maximum4150000
Range4150000
Interquartile range (IQR)335611.25

Descriptive statistics

Standard deviation993111.44
Coefficient of variation (CV)2.2343207
Kurtosis9.6488163
Mean444480.25
Median Absolute Deviation (MAD)64684.5
Skewness3.1295026
Sum10667526
Variance9.8627033 × 1011
MonotonicityNot monotonic
2023-12-10T23:24:02.150556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
31 1
 
4.2%
160 1
 
4.2%
25000 1
 
4.2%
74600 1
 
4.2%
975 1
 
4.2%
4150000 1
 
4.2%
577000 1
 
4.2%
121 1
 
4.2%
850000 1
 
4.2%
160000 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
0 1
4.2%
31 1
4.2%
121 1
4.2%
160 1
4.2%
239 1
4.2%
975 1
4.2%
1860 1
4.2%
2310 1
4.2%
2530 1
4.2%
20900 1
4.2%
ValueCountFrequency (%)
4150000 1
4.2%
2900000 1
4.2%
850000 1
4.2%
577000 1
4.2%
535000 1
4.2%
482000 1
4.2%
289000 1
4.2%
222000 1
4.2%
172000 1
4.2%
160000 1
4.2%

구독자수비공개정보
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size180.0 B
False
23 
True
 
1
ValueCountFrequency (%)
False 23
95.8%
True 1
 
4.2%
2023-12-10T23:24:02.238131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

분석채널국가
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
KR
20 
<NA>
 
2
DE
 
1
CN
 
1

Length

Max length4
Median length2
Mean length2.1666667
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
KR 20
83.3%
<NA> 2
 
8.3%
DE 1
 
4.2%
CN 1
 
4.2%

Length

2023-12-10T23:24:02.340985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:02.437153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 20
83.3%
na 2
 
8.3%
de 1
 
4.2%
cn 1
 
4.2%

키워드
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing6
Missing (%)25.0%
Memory size324.0 B
2023-12-10T23:24:02.704278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length38
Mean length35
Min length2

Characters and Unicode

Total characters630
Distinct characters204
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st row뷰티 beauty 메이크업 makeup haul 패션 패션하울 메이크업튜토리얼 fashion
2nd row트위치 마루코 루코 스트리머
3rd row베이킹 제과 제빵 마카롱 쿠키 머랭쿠키 홈베이킹 먹방 ASMR 케이크 cake baking cookies 홈베이킹
4th row일상
5th rowDIY lifehacks hacks 샐활 해킹 꿀팁 트릭
ValueCountFrequency (%)
오버워치 3
 
2.2%
스토리 2
 
1.5%
raon 2
 
1.5%
홈베이킹 2
 
1.5%
자취요리 2
 
1.5%
계란요리 2
 
1.5%
간단요리 2
 
1.5%
요리 2
 
1.5%
수아수지 1
 
0.7%
lee 1
 
0.7%
Other values (117) 117
86.0%
2023-12-10T23:24:03.165662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
18.7%
리 25
 
4.0%
요 19
 
3.0%
이 13
 
2.1%
a 10
 
1.6%
e 8
 
1.3%
o 7
 
1.1%
오 7
 
1.1%
I 7
 
1.1%
스 7
 
1.1%
Other values (194) 409
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
60.8%
Space Separator 118
 
18.7%
Lowercase Letter 69
 
11.0%
Uppercase Letter 60
 
9.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 25
 
6.5%
요 19
 
5.0%
이 13
 
3.4%
오 7
 
1.8%
스 7
 
1.8%
법 6
 
1.6%
칼 6
 
1.6%
자 5
 
1.3%
하 5
 
1.3%
트 5
 
1.3%
Other values (156) 285
74.4%
Lowercase Letter
ValueCountFrequency (%)
a 10
14.5%
e 8
11.6%
o 7
10.1%
k 6
8.7%
c 4
 
5.8%
u 4
 
5.8%
i 4
 
5.8%
s 4
 
5.8%
h 4
 
5.8%
n 4
 
5.8%
Other values (9) 14
20.3%
Uppercase Letter
ValueCountFrequency (%)
I 7
11.7%
N 7
11.7%
T 6
10.0%
A 6
10.0%
C 5
8.3%
E 4
 
6.7%
R 4
 
6.7%
Y 3
 
5.0%
L 3
 
5.0%
D 3
 
5.0%
Other values (8) 12
20.0%
Space Separator
ValueCountFrequency (%)
118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
60.8%
Latin 129
 
20.5%
Common 118
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 25
 
6.5%
요 19
 
5.0%
이 13
 
3.4%
오 7
 
1.8%
스 7
 
1.8%
법 6
 
1.6%
칼 6
 
1.6%
자 5
 
1.3%
하 5
 
1.3%
트 5
 
1.3%
Other values (156) 285
74.4%
Latin
ValueCountFrequency (%)
a 10
 
7.8%
e 8
 
6.2%
o 7
 
5.4%
I 7
 
5.4%
N 7
 
5.4%
T 6
 
4.7%
k 6
 
4.7%
A 6
 
4.7%
C 5
 
3.9%
E 4
 
3.1%
Other values (27) 63
48.8%
Common
ValueCountFrequency (%)
118
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
60.8%
ASCII 247
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
47.8%
a 10
 
4.0%
e 8
 
3.2%
o 7
 
2.8%
I 7
 
2.8%
N 7
 
2.8%
T 6
 
2.4%
k 6
 
2.4%
A 6
 
2.4%
C 5
 
2.0%
Other values (28) 67
27.1%
Hangul
ValueCountFrequency (%)
리 25
 
6.5%
요 19
 
5.0%
이 13
 
3.4%
오 7
 
1.8%
스 7
 
1.8%
법 6
 
1.6%
칼 6
 
1.6%
자 5
 
1.3%
하 5
 
1.3%
트 5
 
1.3%
Other values (156) 285
74.4%

영상ID
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing5
Missing (%)20.8%
Memory size324.0 B
2023-12-10T23:24:03.377774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters209
Distinct characters61
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

Unique19 ?
Unique (%)100.0%

Sample

1st rowcdHCLVe10TM
2nd row7qhVopkFS5M
3rd rowQRDAVtblySg
4th row8a-2XILe3Ec
5th row0l8aV4bEYf4
ValueCountFrequency (%)
cdhclve10tm 1
 
5.3%
3rp3ztzkcf0 1
 
5.3%
zqgpl83wz24 1
 
5.3%
npfamrqhpqc 1
 
5.3%
2mixvrywn8 1
 
5.3%
tcmd04wkkqc 1
 
5.3%
hjuafi3runw 1
 
5.3%
ljc3w5qtmly 1
 
5.3%
ztqlbrq_97u 1
 
5.3%
to-jqxbjoj0 1
 
5.3%
Other values (9) 9
47.4%
2023-12-10T23:24:03.969471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
 
3.3%
q 7
 
3.3%
c 6
 
2.9%
p 6
 
2.9%
3 6
 
2.9%
L 6
 
2.9%
K 6
 
2.9%
E 5
 
2.4%
4 5
 
2.4%
t 5
 
2.4%
Other values (51) 150
71.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 89
42.6%
Lowercase Letter 77
36.8%
Decimal Number 35
 
16.7%
Connector Punctuation 4
 
1.9%
Dash Punctuation 4
 
1.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 6
 
6.7%
K 6
 
6.7%
E 5
 
5.6%
R 5
 
5.6%
Q 5
 
5.6%
I 5
 
5.6%
W 5
 
5.6%
M 5
 
5.6%
V 5
 
5.6%
A 4
 
4.5%
Other values (16) 38
42.7%
Lowercase Letter
ValueCountFrequency (%)
q 7
 
9.1%
c 6
 
7.8%
p 6
 
7.8%
t 5
 
6.5%
f 5
 
6.5%
z 5
 
6.5%
o 4
 
5.2%
l 4
 
5.2%
b 4
 
5.2%
r 4
 
5.2%
Other values (13) 27
35.1%
Decimal Number
ValueCountFrequency (%)
0 7
20.0%
3 6
17.1%
4 5
14.3%
8 4
11.4%
2 4
11.4%
1 3
8.6%
5 2
 
5.7%
7 2
 
5.7%
9 1
 
2.9%
6 1
 
2.9%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 166
79.4%
Common 43
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
q 7
 
4.2%
c 6
 
3.6%
p 6
 
3.6%
L 6
 
3.6%
K 6
 
3.6%
E 5
 
3.0%
t 5
 
3.0%
R 5
 
3.0%
Q 5
 
3.0%
f 5
 
3.0%
Other values (39) 110
66.3%
Common
ValueCountFrequency (%)
0 7
16.3%
3 6
14.0%
4 5
11.6%
_ 4
9.3%
- 4
9.3%
8 4
9.3%
2 4
9.3%
1 3
7.0%
5 2
 
4.7%
7 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
 
3.3%
q 7
 
3.3%
c 6
 
2.9%
p 6
 
2.9%
3 6
 
2.9%
L 6
 
2.9%
K 6
 
2.9%
E 5
 
2.4%
4 5
 
2.4%
t 5
 
2.4%
Other values (51) 150
71.8%

영상
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean493.625
Minimum0
Maximum3019
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:24:04.082166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.75
Q153.75
median120.5
Q3546.25
95-th percentile2225.2
Maximum3019
Range3019
Interquartile range (IQR)492.5

Descriptive statistics

Standard deviation778.58957
Coefficient of variation (CV)1.5772896
Kurtosis5.0450452
Mean493.625
Median Absolute Deviation (MAD)105
Skewness2.2826612
Sum11847
Variance606201.72
MonotonicityNot monotonic
2023-12-10T23:24:04.192342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
12 1
 
4.2%
50 1
 
4.2%
56 1
 
4.2%
1161 1
 
4.2%
46 1
 
4.2%
287 1
 
4.2%
473 1
 
4.2%
58 1
 
4.2%
1133 1
 
4.2%
83 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
0 1
4.2%
7 1
4.2%
12 1
4.2%
21 1
4.2%
46 1
4.2%
50 1
4.2%
55 1
4.2%
56 1
4.2%
58 1
4.2%
83 1
4.2%
ValueCountFrequency (%)
3019 1
4.2%
2413 1
4.2%
1161 1
4.2%
1133 1
4.2%
992 1
4.2%
766 1
4.2%
473 1
4.2%
432 1
4.2%
287 1
4.2%
222 1
4.2%

채널분석조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2538664 × 108
Minimum0
Maximum1.0041492 × 109
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:24:04.334764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3267.15
Q146210.75
median8201003.5
Q31.0525772 × 108
95-th percentile7.9987113 × 108
Maximum1.0041492 × 109
Range1.0041492 × 109
Interquartile range (IQR)1.0521151 × 108

Descriptive statistics

Standard deviation2.6617559 × 108
Coefficient of variation (CV)2.1228385
Kurtosis7.0358501
Mean1.2538664 × 108
Median Absolute Deviation (MAD)8194985
Skewness2.7555852
Sum3.0092793 × 109
Variance7.0849443 × 1016
MonotonicityNot monotonic
2023-12-10T23:24:04.478451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2088 1
 
4.2%
9949 1
 
4.2%
1792828 1
 
4.2%
9001734 1
 
4.2%
51832 1
 
4.2%
882925345 1
 
4.2%
103376419 1
 
4.2%
29060 1
 
4.2%
329230599 1
 
4.2%
28990195 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
0 1
4.2%
2088 1
4.2%
9949 1
4.2%
13127 1
4.2%
29060 1
4.2%
29347 1
4.2%
51832 1
4.2%
109765 1
4.2%
111594 1
4.2%
1792828 1
4.2%
ValueCountFrequency (%)
1004149191 1
4.2%
882925345 1
4.2%
329230599 1
4.2%
233108293 1
4.2%
155310754 1
4.2%
110901620 1
4.2%
103376419 1
4.2%
66116785 1
4.2%
60109511 1
4.2%
28990195 1
4.2%

Interactions

2023-12-10T23:23:57.814931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.237173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.564522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.895989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.337989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.639665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:58.014110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.473081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:57.730970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:24:04.575227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경로명생성일아이콘명설명범주채널명수구독자수비공개정보분석채널국가키워드영상ID영상채널분석조회수
경로명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
생성일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
아이콘명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
범주1.0001.0001.0001.0001.0001.0000.2030.0000.0001.0001.0000.0000.918
채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수1.0001.0001.0001.0000.2031.0001.0000.0000.0001.0001.0000.7110.962
구독자수비공개정보1.0001.0001.0001.0000.0001.0000.0001.000NaN1.0001.0001.0000.482
분석채널국가1.0001.0001.0001.0000.0001.0000.000NaN1.0001.0001.0000.0000.000
키워드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0000.0001.0000.7111.0000.0001.0001.0001.0000.920
채널분석조회수1.0001.0001.0001.0000.9181.0000.9620.4820.0001.0001.0000.9201.000
2023-12-10T23:24:04.713966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
범주분석채널국가구독자수비공개정보
범주1.0000.0000.000
분석채널국가0.0001.0001.000
구독자수비공개정보0.0001.0001.000
2023-12-10T23:24:04.803803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수영상채널분석조회수범주구독자수비공개정보분석채널국가
수1.0000.5690.7850.1180.0000.000
영상0.5691.0000.8780.0000.9050.000
채널분석조회수0.7850.8781.0000.6030.3020.000
범주0.1180.0000.6031.0000.0000.000
구독자수비공개정보0.0000.9050.3020.0001.0001.000
분석채널국가0.0000.0000.0000.0001.0001.000

Missing values

2023-12-10T23:23:58.148248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:23:58.376445image/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.
2023-12-10T23:23:58.537258image/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/UC91GUX1cDq1Yq4ijm77iqWQ2021-06-012013-02-19https://yt3.ggpht.com/ytc/AAUvwnj_Os3-7xSu-28WZlEibUJiU9pRpkq-f3NSljGbVA=s88-c-k-c0x00ffffff-no-rj한국특허정보원은 국내·외 산업재산권 정보를 효율적으로 보급하고 산업재산권 정보를 조사·분석하여 제공함으로써 산업의 국제경쟁력을 제고하고 기술발전에 기여함을 목적으로 설립된 특허청 산하의 특허기술정보 종합서비스 전문기관입니다.P한국특허정보원31FalseKR<NA><NA>122088
1https://www.youtube.com/channel/UCuUe-oocxqzkbw47s7m0ZOQ2021-06-012015-04-18https://yt3.ggpht.com/ytc/AAUvwnj8advZC3mRihzy_7KghDHR8W2PBKMvDQhnLqOWZQ=s88-c-k-c0x00ffffff-no-rj안녕하세요 오드입니다! 제 채널을 아직 구독하지 않으셨다면 구독하기 꼭 눌러주세요! 메이크업 패션 일상 등등 영상으로 만나용 인스타그램 allday.ood subscribe my channel and follow my instagram 'allday.ood' thank youMOod 오드172000FalseKR뷰티 beauty 메이크업 makeup haul 패션 패션하울 메이크업튜토리얼 fashioncdHCLVe10TM22213151226
2https://www.youtube.com/channel/UC1aaTtgKSF9QtkcwKhTmS6A2021-06-012018-01-26https://yt3.ggpht.com/ytc/AAUvwnjfD6NLqDu4izZhGHTM5baN9yoFaAKRuzznDDf6=s88-c-k-c0x00ffffff-no-rj<NA>M루코 ruko20900FalseKR트위치 마루코 루코 스트리머7qhVopkFS5M2203357767
3https://www.youtube.com/channel/UC43IUfUkRQZa-Dsnbqri6Iw2021-06-012015-08-19https://yt3.ggpht.com/ytc/AAUvwnhfjuHKIecMfWzgxOT1aMjHkjRu87KpTlXEdjZouA=s88-c-k-c0x00ffffff-no-rj베이킹하는 순설♥촬영하는 순남 '순백설탕'의 톡톡 튀는 베이킹&요리 레시피를 소개해요. 간단하지만 예쁘게 완성하는 오븐 베이킹; 오븐없이도 근사한 노오븐 베이킹! 캐릭터 베이킹 등 다양한 영상을 업로드합니다. 또; 가끔은 커플 '순설&순남'의 달달한 데이트; 먹방도 보실 수 있답니다♥ ▶[화금] 저녁 8시 영상 업로드! (라이브는 랜덤~) 구독하기&좋아요 꾹 눌러주세요. 감사합니다. Hello. Soonseol introduces baking & cooking recipes. :) ▶ Upload recipe video 2~3 times a week! Please subscribe & like. Thank you. :) FACEBOOK@순백설탕(Soonseol) INSTAGRAM@soonseol Blog.naver.comyettiemon E-mail : yettiemon@naver.comMSoonseol BAKERY 순백설탕289000FalseKR베이킹 제과 제빵 마카롱 쿠키 머랭쿠키 홈베이킹 먹방 ASMR 케이크 cake baking cookies 홈베이킹QRDAVtblySg43266116785
4https://www.youtube.com/channel/UCudHnr647v6z1f3E3DkOarw2021-06-012018-01-23https://yt3.ggpht.com/ytc/AAUvwnhrM0nol3CdjGEU8FLZLxYJm-gULsFtg5i9eDeD2Q=s88-c-k-c0x00ffffff-no-rj<NA>M도레미 DOREMI147000FalseKR일상<NA>729347
5https://www.youtube.com/channel/UC03jtg6Imz882ZCPnB7bZ0w2021-06-012018-07-12https://yt3.ggpht.com/ytc/AAUvwnhjEfV1KFLn9FMUWqZHwRTfYYdzkek2INQLrJv6=s88-c-k-c0x00ffffff-no-rj재미있는 DIY 프로젝트; 공예품; 직접 체험하는 기쁨을 경험하십시오!M5 분 Tricks2900000FalseKRDIY lifehacks hacks 샐활 해킹 꿀팁 트릭8a-2XILe3Ec30191004149191
6https://www.youtube.com/channel/UCH2mJnztSdNh8ADp2KmtUMQ2021-06-012014-02-13https://yt3.ggpht.com/ytc/AAUvwniVZSy8dkiJfVtov-L8k0FLLwH4I64tcwvFpmZa4g=s88-c-k-c0x00ffffff-no-rj**1** 유트루의 첫번째 채널! 함께 메이크업하는 뷰티채널이에용 :)MYoo True482000FalseKRYootrue 유트루 파운데이션추천 브러쉬추천0l8aV4bEYf4766110901620
7https://www.youtube.com/channel/UCnZBbH3G6t9tYK6NMMAcEug2021-06-012015-09-07https://yt3.ggpht.com/ytc/AAUvwniMcUQ2Fcnle5DTOO67W0o4M5BbIxhb2wZr9bL0rw=s88-c-k-c0x00ffffff-no-rj<NA>P닫힌결말239FalseKR<NA>0-fr1QQ0f4o00
8https://www.youtube.com/channel/UCw38iaxHjJRkCMUgfdAE0SQ2021-06-012017-10-26https://yt3.ggpht.com/ytc/AAUvwnhYZip3JCy8QGNyM0InXNG5m6iKWmE0Bo3tQpEC=s88-c-k-c0x00ffffff-no-rjSuper Easy Vegan Recipe!M즐거운 비건; 비건즐Veganzle2310False<NA><NA><NA>55111594
9https://www.youtube.com/channel/UCmcd3r7AsHjm3deMgx1ZPiw2021-06-012011-12-30https://yt3.ggpht.com/ytc/AAUvwnhnoC6uFO1RKe_w2i7TzASwxG4hm458aoTSeZXkbA=s88-c-k-c0x00ffffff-no-rj유튜브 시작 날짜 2012 . 01 . 10 96년 6월 11일생 문의 : apple3203@naver.com 여러분을 미친듯이 웃길 입담은 없지만 즐겁게 볼수있는 영상을 만들기위해 노력하겠습니다. [컴퓨터 사양] CPU i7 8700 커피레이크 RAM 32기가 VGA RTX3070MYT Apple0True<NA>YT 애플W_Jb_EFKMaA2413155310754
경로명수집일생성일아이콘명설명범주채널명수구독자수비공개정보분석채널국가키워드영상ID영상채널분석조회수
14https://www.youtube.com/channel/UC8OUSYm-ztRAT6EE6VHPpGw2021-06-012016-10-25https://yt3.ggpht.com/ytc/AAUvwnihJNiRLcPeycLnJuviGUycFB01wO_7Hp5j25ZeZw=s88-c-k-c0x00ffffff-no-rj세상의 모든 괴담 MBC 미스터리 : 심야괴담회 X 서프라이즈TMBC 미스터리 : 심야괴담회 X 서프라이즈535000FalseKR서프라이즈 재연 놀라운일 놀람 공포 호러 외계인 MBC 한국 감동 재미 웃긴 히틀러 전쟁 귀신 유령 꿈 기묘한이야기 미스테리 충격3Rp3zTzKcF0992233108293
15https://www.youtube.com/channel/UC3vlU5ziv8njjin3iq-86Kw2021-06-012013-12-31https://yt3.ggpht.com/ytc/AAUvwnjsicFqMBrTgdI-sI-3Mi3Vl7m_QaZN-SqJ8_eiaw=s88-c-k-c0x00ffffff-no-rj세상 모든 음악 커버 예정M주하의 음악실2530FalseKR<NA>ztQLbRq_97U2113127
16https://www.youtube.com/channel/UCbJc-rpI20c0jpKu5JHjLdQ2021-06-012016-03-03https://yt3.ggpht.com/ytc/AAUvwnijgw-yVAeHtiB_NbSop1Hadw9recED4W6XUIwh=s88-c-k-c0x00ffffff-no-rjssin 씬님의 대다난 기록들 - ! 최초의 유튜브 뷰티예능 채널입니다.Mssin 씬기록160000FalseKR씬님LjC3w5qtMLY8328990195
17https://www.youtube.com/channel/UCbbC0FaznmgJDuehIuQvYMA2021-06-012016-12-22https://yt3.ggpht.com/ytc/AAUvwniIB23k5xQd0PwWivehO9Qmxs-Ng3JFAj1uOgHD1w=s88-c-k-c0x00ffffff-no-rj쌍둥이 뚜아;뚜지(수아;수지)의 유튜브 계정입니다. 꿀잼영상 많이 업로드 할거니까 구독 많이 해주세요~~ ^^ 인스타그램 @sua_sujiM뚜아뚜지TV850000FalseKR뚜아뚜지 쌍둥이 뚜아뚜지TV 수아수지HjuAfI3rUNw1133329230599
18https://www.youtube.com/channel/UCidEgtYZ0-jzVFr-BOWAIVg2021-06-012019-08-10https://yt3.ggpht.com/ytc/AAUvwnhfTVe9bD8uOjKFQlH0c9xcLf55IW6UvyVib_5d1A=s88-c-k-c0x00ffffff-no-rj여행 컨텐츠 및 코로나로 인한 집안에서 여가생활 구독과 좋아요 꼭 부탁드려요 ㅠ_ㅠ ♡M라떼오빠121FalseKR<NA>tcMD04WKkqc5829060
19https://www.youtube.com/channel/UCRH7j5GsT7MWuEFwjORNlFg2021-06-012015-01-13https://yt3.ggpht.com/ytc/AAUvwniGi6weGGh7ouNz5jnd6oID1FZzpIRiE7ARWTkv=s88-c-k-c0x00ffffff-no-rj요리;실험;일상등 여러가지 재미난 영상을 여러분들께 보여드리기 위해 노력하는 신쿡이 되겠습니다 영상은 매주 수;금 6이후! 일요일 2시이후! 나머지 추가 영상은 랜덤입니다!! 신쿡 에게 메일보내는곳 : gkbsgk@naver.com 신쿡에게 선물보내는곳 : 전주시 완산구 삼천동2가 215-6번지MSINCOOK - 신쿡577000FalseKR요리 자취요리 야매요리 간단요리_2mIXVrYWN8473103376419
20https://www.youtube.com/channel/UCQn1FqrR2OCjSe6Nl4GlVHw2021-06-012014-01-24https://yt3.ggpht.com/ytc/AAUvwnjFkGougKOh_mgByV2iJHqUxpCVFDeycILQYh3pmQ=s88-c-k-c0x00ffffff-no-rj-moKorean girl who loves to sing♬MRaon Lee4150000FalseKRRaon Lee raon 이라온 라온 우타이테npFAmRqHpQc287882925345
21https://www.youtube.com/channel/UCJGvrxseteP2O2f1EiopngA2021-06-012012-01-01https://yt3.ggpht.com/ytc/AAUvwni2gjJUweu94pMMXmgOkTmddzvc9h5wKvjaHpTpGA=s88-c-k-c0x00ffffff-no-rjHello everyone! My name is Lina and I'm a dancer from Russia (but currently I live in China kkk). Hope you enjoy my videos and subscribe to my channel! Instagram → instagram.comalixxgn BusinessPartnerships email: alinanagaeva5@gmail.comMAlina Nagaeva975FalseCNAILIN CHINA INTERNATIONAL STUDENT COVER DANCE<NA>4651832
22https://www.youtube.com/channel/UCihruK1pwJPsukySPatFgsQ2021-06-012014-04-09https://yt3.ggpht.com/ytc/AAUvwnihq2h3eONaG7UBqm7WyEsPOHYzYMMQ1XtnQ2jCcQ=s88-c-k-c0x00ffffff-no-rj혼공쌤(허준석) * 영어교육 전문가 교육 인플루언서 32권 영어교재 출간 베스트 셀러 '혼공' 시리즈 집필러 작가 - (현) EBS 영어강사 14년차(중고등 합산 400만명 수강생) - (현) (주) 혼공 유니버스 대표이사 - (현) 경기도 교육청 홍보대사 - (현) 영어교육단체 혼공스쿨 대표 - (현) 구글 공인 트레이너 - (전) EBS 국가대표 영어 강사 파견 4;5기(2013~2015) - (전) 경기도 영어 교사(16년 경력) - (전) 경기도 교육청 대변인실 미디어담당 * 수상 - 교육부 장관 표창(영어교육 부문); 국회 교육위원회 위원장 대상; 인사혁신처장 표창 외 다수 * 강연 및 비즈니스 문의 - 브랜딩 자녀영어교육 기관 플랫폼 활용 교육 유튜브; 인스타그램 컨설팅(지자체) hongong2008@naver.com * Instagram(23k 팔로워) @hongong2008(혼공으로 검색) * History 1. 2018년: 3 million views 2. 2018. 11월: 20;000 subscribers 3. 2019. 6월: 30;000 subscribers 4. 2019. 12월: 5 million views 5. 2020. 3월: 40;000 subscribers 6. 2020. 11월: 50;000 subscribers 7. 2021. 1월: 60;000 subscribers 8. 2020. 3월: 70;000 subscribers * 간단한 선물&손편지 보내실 곳 서울특별시 마포구 양화로12길 16-9 3층 (주)혼공유니버스 택배보관소 경영지원팀 010-4374-2307P혼공TV74600FalseKR혼공 영어공부 영어초보 영어기초 기초영문법ZqGpl83Wz2411619001734
23https://www.youtube.com/channel/UCvVB9N4DphpOgMtjoV0Qgiw2021-06-012016-09-27https://yt3.ggpht.com/ytc/AAUvwnic-Z-Cje-cZexwix2-Rucga_wiDsJfiw5m8soClg=s88-c-k-c0x00ffffff-no-rj건강하고 매너있는 요리를 지향(志向) 합니다. 매너란 위생적이고 인체에 해롭지 않음입니다. 요리는 쉴 틈 없이 외워야 하는 암기 과목이 아닙니다. 그러므로 이해하고 나만의 맛을 창조할 수 있습니다.MCook Something25000FalseKR요리 수비드 요리사 칼가는법 칼 요리잘하는법 레시피 셰프 홈쿠킹 오븐요리 노오븐요리 오믈렛 피자 계란요리 간단한요리 쉬운요리 파스타 칼질법 칼질강의 칼질하는법 칼질잘하는방법 자취요리 피자도우 수비드요리 계란요리 삽겹살요리 통삼겹살요리 고든램지요리 간단요리EKy-ZztCfWo561792828