Overview

Dataset statistics

Number of variables14
Number of observations26
Missing cells17
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory114.1 B

Variable types

Text6
DateTime2
Categorical2
Numeric3
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/1a6794fc-0087-41ab-b9cb-540fafcb6bf3

Alerts

수집일 has constant value ""Constant
수 is highly overall correlated with 채널분석조회수 and 1 other fieldsHigh correlation
영상 is highly overall correlated with 채널분석조회수High correlation
채널분석조회수 is highly overall correlated with 수 and 3 other fieldsHigh correlation
범주 is highly overall correlated with 채널분석조회수High correlation
분석채널국가 is highly overall correlated with 수 and 1 other fieldsHigh correlation
구독자수비공개정보 is highly imbalanced (60.9%)Imbalance
설명 has 2 (7.7%) missing valuesMissing
키워드 has 10 (38.5%) missing valuesMissing
영상ID has 5 (19.2%) missing valuesMissing
경로명 has unique valuesUnique
생성일 has unique valuesUnique
아이콘명 has unique valuesUnique
채널명 has unique valuesUnique
영상 has unique valuesUnique
채널분석조회수 has unique valuesUnique
수 has 2 (7.7%) zerosZeros

Reproduction

Analysis started2023-12-10 14:14:43.199865
Analysis finished2023-12-10 14:14:47.587636
Duration4.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경로명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T23:14:47.958284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1456
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UCOl4IG5vgBuXDZGTxSxaSgQ
2nd rowhttps://www.youtube.com/channel/UCA5dXWL-EQ9UrDld11QG8BA
3rd rowhttps://www.youtube.com/channel/UCw3-jbBEWVitgOFHutWZmug
4th rowhttps://www.youtube.com/channel/UC8jn6wsEWH9Edynop6DYX8g
5th rowhttps://www.youtube.com/channel/UCoNGys8NV8iInPK-AyTSgTA
ValueCountFrequency (%)
https://www.youtube.com/channel/ucol4ig5vgbuxdzgtxsxasgq 1
 
3.8%
https://www.youtube.com/channel/uca5dxwl-eq9urdld11qg8ba 1
 
3.8%
https://www.youtube.com/channel/uccqtzs8j2pt2htweqrcg-sa 1
 
3.8%
https://www.youtube.com/channel/ucshwztibep5wwgmxyhd15tq 1
 
3.8%
https://www.youtube.com/channel/uclo3y9xjowk7sdd8fuqbttq 1
 
3.8%
https://www.youtube.com/channel/uc3er2eddklvixqyzbg5wc6w 1
 
3.8%
https://www.youtube.com/channel/ucqzlmnfx9mgdjgd_5bzk-cw 1
 
3.8%
https://www.youtube.com/channel/ucw7eqximbozm-6dblhiib-g 1
 
3.8%
https://www.youtube.com/channel/ucewq3ri8_q2-zcphedsr5zq 1
 
3.8%
https://www.youtube.com/channel/ucb0h96ariixpsad4jkh0oqw 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T23:14:48.799111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 104
 
7.1%
w 98
 
6.7%
t 90
 
6.2%
h 63
 
4.3%
n 59
 
4.1%
o 58
 
4.0%
u 58
 
4.0%
e 56
 
3.8%
c 54
 
3.7%
. 52
 
3.6%
Other values (57) 764
52.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 868
59.6%
Uppercase Letter 303
 
20.8%
Other Punctuation 182
 
12.5%
Decimal Number 85
 
5.8%
Dash Punctuation 12
 
0.8%
Connector Punctuation 6
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 98
 
11.3%
t 90
 
10.4%
h 63
 
7.3%
n 59
 
6.8%
o 58
 
6.7%
u 58
 
6.7%
e 56
 
6.5%
c 54
 
6.2%
m 39
 
4.5%
a 34
 
3.9%
Other values (16) 259
29.8%
Uppercase Letter
ValueCountFrequency (%)
C 36
 
11.9%
U 33
 
10.9%
Q 21
 
6.9%
W 15
 
5.0%
A 14
 
4.6%
E 13
 
4.3%
S 13
 
4.3%
X 12
 
4.0%
D 12
 
4.0%
H 11
 
3.6%
Other values (16) 123
40.6%
Decimal Number
ValueCountFrequency (%)
8 13
15.3%
5 12
14.1%
2 11
12.9%
9 11
12.9%
0 9
10.6%
3 8
9.4%
4 7
8.2%
1 7
8.2%
6 5
 
5.9%
7 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 104
57.1%
. 52
28.6%
: 26
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1171
80.4%
Common 285
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 98
 
8.4%
t 90
 
7.7%
h 63
 
5.4%
n 59
 
5.0%
o 58
 
5.0%
u 58
 
5.0%
e 56
 
4.8%
c 54
 
4.6%
m 39
 
3.3%
C 36
 
3.1%
Other values (42) 560
47.8%
Common
ValueCountFrequency (%)
/ 104
36.5%
. 52
18.2%
: 26
 
9.1%
8 13
 
4.6%
- 12
 
4.2%
5 12
 
4.2%
2 11
 
3.9%
9 11
 
3.9%
0 9
 
3.2%
3 8
 
2.8%
Other values (5) 27
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 104
 
7.1%
w 98
 
6.7%
t 90
 
6.2%
h 63
 
4.3%
n 59
 
4.1%
o 58
 
4.0%
u 58
 
4.0%
e 56
 
3.8%
c 54
 
3.7%
. 52
 
3.6%
Other values (57) 764
52.5%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2021-05-01 00:00:00
Maximum2021-05-01 00:00:00
2023-12-10T23:14:49.003021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:49.168221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

생성일
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2012-04-20 00:00:00
Maximum2019-09-30 00:00:00
2023-12-10T23:14:49.356208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:49.574863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

아이콘명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T23:14:50.192224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length98
Mean length97.153846
Min length94

Characters and Unicode

Total characters2526
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AAUvwngAjlc_KXz0w8IdwqtBVAiP9bjVu4cuqDTZZEIrow=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnhoTIAhB7XtiSopS9KBZzM5jjfC8U3hwdh7DQ=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnja4OqMka-vb0bzW-72ygM6lnREFgY_3jgKWJcm=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwnjln66jYRrVQR2hGp500J_4BQ-u5IT3WAuF7KKnlw=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnhBtU4IcnI71-aPK3xQx8aE5kj1sUvh9U_agdzkcQ=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwngajlc_kxz0w8idwqtbvaip9bjvu4cuqdtzzeirow=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnhotiahb7xtisops9kbzzm5jjfc8u3hwdh7dq=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwngnelmgnfsixzvaa3dgfvw2x9fbiu5jzbh4n5gaka=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnivjbkxigvk_luumgpnbmalwtfroaaiwf63lg_ota=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnhe159g-fnhgh_42zytw4g-gjbbrp2xo6njq7-lsq=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwni6fzj6zrojxhrvhyh8thzg0t-3t5rzf48blyjvea=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnhzxfb7wuqephe2twymb4crtltihbcznqb6ahryzw=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnh6emzlp8mx8jppo-04fb_imssdln-29-uwrqrjia=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwnhqc5ygbmaut6wferz9bp-qhmfye1wex46mqxj8=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
https://yt3.ggpht.com/ytc/aauvwngqe0qrx-ohajtiltlw79jsfgx4sr2kwdu94row=s88-c-k-c0x00ffffff-no-rj 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T23:14:51.173258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 171
 
6.8%
- 150
 
5.9%
t 148
 
5.9%
c 119
 
4.7%
/ 104
 
4.1%
0 92
 
3.6%
h 77
 
3.0%
g 75
 
3.0%
A 73
 
2.9%
o 72
 
2.9%
Other values (58) 1445
57.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1362
53.9%
Uppercase Letter 472
 
18.7%
Decimal Number 321
 
12.7%
Other Punctuation 182
 
7.2%
Dash Punctuation 150
 
5.9%
Math Symbol 26
 
1.0%
Connector Punctuation 13
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 171
 
12.6%
t 148
 
10.9%
c 119
 
8.7%
h 77
 
5.7%
g 75
 
5.5%
o 72
 
5.3%
n 66
 
4.8%
p 65
 
4.8%
y 64
 
4.7%
s 61
 
4.5%
Other values (16) 444
32.6%
Uppercase Letter
ValueCountFrequency (%)
A 73
 
15.5%
U 40
 
8.5%
Q 30
 
6.4%
R 23
 
4.9%
V 21
 
4.4%
P 19
 
4.0%
M 19
 
4.0%
I 18
 
3.8%
E 18
 
3.8%
S 18
 
3.8%
Other values (16) 193
40.9%
Decimal Number
ValueCountFrequency (%)
0 92
28.7%
8 71
22.1%
3 46
14.3%
4 22
 
6.9%
5 19
 
5.9%
9 17
 
5.3%
6 16
 
5.0%
2 15
 
4.7%
7 13
 
4.0%
1 10
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 104
57.1%
. 52
28.6%
: 26
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Math Symbol
ValueCountFrequency (%)
= 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1834
72.6%
Common 692
 
27.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 171
 
9.3%
t 148
 
8.1%
c 119
 
6.5%
h 77
 
4.2%
g 75
 
4.1%
A 73
 
4.0%
o 72
 
3.9%
n 66
 
3.6%
p 65
 
3.5%
y 64
 
3.5%
Other values (42) 904
49.3%
Common
ValueCountFrequency (%)
- 150
21.7%
/ 104
15.0%
0 92
13.3%
8 71
10.3%
. 52
 
7.5%
3 46
 
6.6%
= 26
 
3.8%
: 26
 
3.8%
4 22
 
3.2%
5 19
 
2.7%
Other values (6) 84
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 171
 
6.8%
- 150
 
5.9%
t 148
 
5.9%
c 119
 
4.7%
/ 104
 
4.1%
0 92
 
3.6%
h 77
 
3.0%
g 75
 
3.0%
A 73
 
2.9%
o 72
 
2.9%
Other values (58) 1445
57.2%

설명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2023-12-10T23:14:51.747406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length332
Median length58.5
Mean length91.583333
Min length19

Characters and Unicode

Total characters2198
Distinct characters388
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
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 row고양시 덕양구! 영상으로 만나요~＊
2nd row한국우편사업진흥원 공식 영상 소통 채널입니다 기획: 한국우편사업진흥원 우정문화실
3rd row전국 각지에 입 좀 턴다! 하는 분들을 모십니다. '구라철'이 직접 찾아갑니다! 우리 주변 남녀노소; 직업불문 '말 잘하는 분들'이라면 다 제보 받습니다! 제보와 추천은 아래 메일로 부탁드립니다. 제보 및 기타 문의 gura.givemoney@gmail.com
4th row대한민국 산업통상자원부 공식채널입니다. 산업ㆍ통상ㆍ자원과 관련된 다양한 정책과 소식을 만나볼 수 있습니다.
5th row안녕하세요 광주광역시 북구청 공식 유튜브 채널입니다.
ValueCountFrequency (%)
11
 
2.9%
공식 5
 
1.3%
유튜브 4
 
1.1%
꿈을 4
 
1.1%
채널입니다 4
 
1.1%
있습니다 3
 
0.8%
대한민국 3
 
0.8%
위해 3
 
0.8%
korea 2
 
0.5%
mbc 2
 
0.5%
Other values (316) 339
89.2%
2023-12-10T23:14:52.708308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
 
17.9%
e 58
 
2.6%
o 54
 
2.5%
t 48
 
2.2%
a 47
 
2.1%
r 41
 
1.9%
. 38
 
1.7%
n 35
 
1.6%
다 34
 
1.5%
m 34
 
1.5%
Other values (378) 1416
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 952
43.3%
Lowercase Letter 599
27.3%
Space Separator 393
17.9%
Uppercase Letter 98
 
4.5%
Other Punctuation 90
 
4.1%
Decimal Number 28
 
1.3%
Math Symbol 9
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Dash Punctuation 5
 
0.2%
Other values (3) 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 34
 
3.6%
니 31
 
3.3%
이 21
 
2.2%
는 18
 
1.9%
하 15
 
1.6%
시 14
 
1.5%
한 13
 
1.4%
리 12
 
1.3%
공 12
 
1.3%
을 12
 
1.3%
Other values (282) 770
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 58
 
9.7%
o 54
 
9.0%
t 48
 
8.0%
a 47
 
7.8%
r 41
 
6.8%
n 35
 
5.8%
m 34
 
5.7%
c 31
 
5.2%
i 31
 
5.2%
s 30
 
5.0%
Other values (28) 190
31.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
 
10.2%
M 9
 
9.2%
B 8
 
8.2%
T 7
 
7.1%
D 6
 
6.1%
A 6
 
6.1%
J 5
 
5.1%
I 5
 
5.1%
P 5
 
5.1%
L 4
 
4.1%
Other values (16) 33
33.7%
Other Punctuation
ValueCountFrequency (%)
. 38
42.2%
! 16
17.8%
: 10
 
11.1%
; 8
 
8.9%
@ 6
 
6.7%
' 6
 
6.7%
： 2
 
2.2%
* 2
 
2.2%
＊ 1
 
1.1%
# 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
6 4
14.3%
1 4
14.3%
7 4
14.3%
5 3
10.7%
8 3
10.7%
2 3
10.7%
9 2
7.1%
0 2
7.1%
3 2
7.1%
4 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 4
57.1%
] 2
28.6%
} 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 4
57.1%
[ 2
28.6%
{ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
393
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 952
43.3%
Latin 669
30.4%
Common 549
25.0%
Cyrillic 28
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 34
 
3.6%
니 31
 
3.3%
이 21
 
2.2%
는 18
 
1.9%
하 15
 
1.6%
시 14
 
1.5%
한 13
 
1.4%
리 12
 
1.3%
공 12
 
1.3%
을 12
 
1.3%
Other values (282) 770
80.9%
Latin
ValueCountFrequency (%)
e 58
 
8.7%
o 54
 
8.1%
t 48
 
7.2%
a 47
 
7.0%
r 41
 
6.1%
n 35
 
5.2%
m 34
 
5.1%
c 31
 
4.6%
i 31
 
4.6%
s 30
 
4.5%
Other values (40) 260
38.9%
Common
ValueCountFrequency (%)
393
71.6%
. 38
 
6.9%
! 16
 
2.9%
: 10
 
1.8%
~ 9
 
1.6%
; 8
 
1.5%
@ 6
 
1.1%
' 6
 
1.1%
- 5
 
0.9%
▶ 5
 
0.9%
Other values (22) 53
 
9.7%
Cyrillic
ValueCountFrequency (%)
е 4
14.3%
т 4
14.3%
м 3
10.7%
р 2
7.1%
д 2
7.1%
в 2
7.1%
и 2
7.1%
о 2
7.1%
с 2
7.1%
б 1
 
3.6%
Other values (4) 4
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1210
55.1%
Hangul 946
43.0%
Cyrillic 28
 
1.3%
Compat Jamo 6
 
0.3%
Geometric Shapes 5
 
0.2%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
32.5%
e 58
 
4.8%
o 54
 
4.5%
t 48
 
4.0%
a 47
 
3.9%
r 41
 
3.4%
. 38
 
3.1%
n 35
 
2.9%
m 34
 
2.8%
c 31
 
2.6%
Other values (69) 431
35.6%
Hangul
ValueCountFrequency (%)
다 34
 
3.6%
니 31
 
3.3%
이 21
 
2.2%
는 18
 
1.9%
하 15
 
1.6%
시 14
 
1.5%
한 13
 
1.4%
리 12
 
1.3%
공 12
 
1.3%
을 12
 
1.3%
Other values (279) 764
80.8%
Geometric Shapes
ValueCountFrequency (%)
▶ 5
100.0%
Cyrillic
ValueCountFrequency (%)
е 4
14.3%
т 4
14.3%
м 3
10.7%
р 2
7.1%
д 2
7.1%
в 2
7.1%
и 2
7.1%
о 2
7.1%
с 2
7.1%
б 1
 
3.6%
Other values (4) 4
14.3%
Compat Jamo
ValueCountFrequency (%)
ㅅ 2
33.3%
ㄱ 2
33.3%
ㆍ 2
33.3%
None
ValueCountFrequency (%)
： 2
66.7%
＊ 1
33.3%

범주
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
M
13 
P
11 
T
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 13
50.0%
P 11
42.3%
T 2
 
7.7%

Length

2023-12-10T23:14:52.942133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:53.105342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 13
50.0%
p 11
42.3%
t 2
 
7.7%

채널명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T23:14:53.437269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.6153846
Min length2

Characters and Unicode

Total characters198
Distinct characters111
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row민자킴MJ Kim
2nd row덕양구청
3rd row한국우편사업진흥원
4th row구라철
5th row대한민국 산업통상자원부
ValueCountFrequency (%)
민자킴mj 1
 
2.9%
flowerthemoon_꽃보름 1
 
2.9%
소니쇼게임방송 1
 
2.9%
부산도시공사 1
 
2.9%
양천구청 1
 
2.9%
맛카롱 1
 
2.9%
gongju흥미진진 1
 
2.9%
공주시 1
 
2.9%
zi 1
 
2.9%
kim 1
 
2.9%
Other values (24) 24
70.6%
2023-12-10T23:14:54.039549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 11
 
5.6%
8
 
4.0%
e 7
 
3.5%
구 5
 
2.5%
M 5
 
2.5%
청 4
 
2.0%
a 4
 
2.0%
국 4
 
2.0%
한 4
 
2.0%
공 4
 
2.0%
Other values (101) 142
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
58.1%
Lowercase Letter 48
24.2%
Uppercase Letter 25
 
12.6%
Space Separator 8
 
4.0%
Connector Punctuation 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5
 
4.3%
청 4
 
3.5%
국 4
 
3.5%
한 4
 
3.5%
공 4
 
3.5%
광 3
 
2.6%
시 3
 
2.6%
부 3
 
2.6%
사 3
 
2.6%
진 3
 
2.6%
Other values (66) 79
68.7%
Lowercase Letter
ValueCountFrequency (%)
o 11
22.9%
e 7
14.6%
a 4
 
8.3%
m 3
 
6.2%
n 3
 
6.2%
r 3
 
6.2%
k 3
 
6.2%
l 2
 
4.2%
u 2
 
4.2%
g 2
 
4.2%
Other values (7) 8
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
20.0%
P 3
12.0%
C 2
 
8.0%
T 2
 
8.0%
E 2
 
8.0%
J 2
 
8.0%
F 1
 
4.0%
G 1
 
4.0%
Z 1
 
4.0%
K 1
 
4.0%
Other values (5) 5
20.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
57.1%
Latin 73
36.9%
Common 10
 
5.1%
Han 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5
 
4.4%
청 4
 
3.5%
국 4
 
3.5%
한 4
 
3.5%
공 4
 
3.5%
광 3
 
2.7%
시 3
 
2.7%
부 3
 
2.7%
사 3
 
2.7%
진 3
 
2.7%
Other values (65) 77
68.1%
Latin
ValueCountFrequency (%)
o 11
 
15.1%
e 7
 
9.6%
M 5
 
6.8%
a 4
 
5.5%
P 3
 
4.1%
m 3
 
4.1%
n 3
 
4.1%
r 3
 
4.1%
k 3
 
4.1%
C 2
 
2.7%
Other values (22) 29
39.7%
Common
ValueCountFrequency (%)
8
80.0%
_ 1
 
10.0%
- 1
 
10.0%
Han
ValueCountFrequency (%)
七 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
57.1%
ASCII 83
41.9%
CJK 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 11
 
13.3%
8
 
9.6%
e 7
 
8.4%
M 5
 
6.0%
a 4
 
4.8%
P 3
 
3.6%
m 3
 
3.6%
n 3
 
3.6%
r 3
 
3.6%
k 3
 
3.6%
Other values (25) 33
39.8%
Hangul
ValueCountFrequency (%)
구 5
 
4.4%
청 4
 
3.5%
국 4
 
3.5%
한 4
 
3.5%
공 4
 
3.5%
광 3
 
2.7%
시 3
 
2.7%
부 3
 
2.7%
사 3
 
2.7%
진 3
 
2.7%
Other values (65) 77
68.1%
CJK
ValueCountFrequency (%)
七 2
100.0%

수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85490.923
Minimum0
Maximum379000
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T23:14:54.253746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.25
Q11034
median9580
Q3149525
95-th percentile345250
Maximum379000
Range379000
Interquartile range (IQR)148491

Descriptive statistics

Standard deviation121400.33
Coefficient of variation (CV)1.4200377
Kurtosis0.69404161
Mean85490.923
Median Absolute Deviation (MAD)9580
Skewness1.3709738
Sum2222764
Variance1.4738041 × 1010
MonotonicityNot monotonic
2023-12-10T23:14:54.428472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 2
 
7.7%
77000 1
 
3.8%
349000 1
 
3.8%
93900 1
 
3.8%
1700 1
 
3.8%
6660 1
 
3.8%
51400 1
 
3.8%
334000 1
 
3.8%
12500 1
 
3.8%
107 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
0 2
7.7%
17 1
3.8%
20 1
3.8%
107 1
3.8%
588 1
3.8%
812 1
3.8%
1700 1
3.8%
2100 1
3.8%
3780 1
3.8%
4720 1
3.8%
ValueCountFrequency (%)
379000 1
3.8%
349000 1
3.8%
334000 1
3.8%
230000 1
3.8%
196000 1
3.8%
186000 1
3.8%
167000 1
3.8%
97100 1
3.8%
93900 1
3.8%
77000 1
3.8%

구독자수비공개정보
Boolean

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size184.0 B
False
24 
True
 
2
ValueCountFrequency (%)
False 24
92.3%
True 2
 
7.7%
2023-12-10T23:14:54.583323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

분석채널국가
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
KR
17 
<NA>
8 
US
 
1

Length

Max length4
Median length2
Mean length2.6153846
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
KR 17
65.4%
<NA> 8
30.8%
US 1
 
3.8%

Length

2023-12-10T23:14:54.769755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:54.970019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 17
65.4%
na 8
30.8%
us 1
 
3.8%

키워드
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing10
Missing (%)38.5%
Memory size340.0 B
2023-12-10T23:14:55.495546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length248
Median length55
Mean length59.1875
Min length2

Characters and Unicode

Total characters947
Distinct characters226
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

Unique16 ?
Unique (%)100.0%

Sample

1st row우정문화 편지 우표 한국우편사업진흥원 우정사업본부 편지쓰기 엽서 우정 posa post 포스트 우체국과사람들 우체국쇼핑 공공기관 준정부기관 공무원 편지왕자 우체국콜센터 콜센터 우체국 쇼핑 전자우편 생활정보우편 DM 경영평가 우체국뉴스룸 postmall 한국우표포털 우표포털 한국우표포털서비스 우표박물관 준공무원 우정사업 우편사업 포사
2nd row예능 김구라 구라철 구라
3rd row산업통상자원부 산업부 산자부 성윤모 유명희 박진규
4th row광주북구청
5th rowmakeup egeeparkcom egeebeauty 이지뷰티 박은지 parkeunji 뷰티 메이크업 beauty 랜선집들이 화장 화장품추천 화장품 기초케어 lalife 미국 뷰티유튜버 네일 헤어스타일링 푸드 다이어트 daily vlog 데일리 아나운서 화장잘하는법 예뻐지는법 박은지아나운서 립스틱 쿠션 아이섀도우 아이쉐도우 블러셔 볼터치 헬스 요가 기상캐스터 로스엔젤레스 비버리힐즈 에르메스 버킨백 캘리백 명품백 시슬리 샤넬 구찌 마놀로블라닉
ValueCountFrequency (%)
소니쇼 3
 
1.6%
게임방송 3
 
1.6%
공공기관 2
 
1.1%
트위치 2
 
1.1%
카타교수 1
 
0.5%
qpop 1
 
0.5%
kpop 1
 
0.5%
mv 1
 
0.5%
reaction 1
 
0.5%
analysis 1
 
0.5%
Other values (166) 166
91.2%
2023-12-10T23:14:56.196949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
17.5%
e 32
 
3.4%
a 28
 
3.0%
o 24
 
2.5%
우 20
 
2.1%
p 15
 
1.6%
r 15
 
1.6%
i 15
 
1.6%
스 14
 
1.5%
l 14
 
1.5%
Other values (216) 604
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
52.6%
Lowercase Letter 270
28.5%
Space Separator 166
 
17.5%
Uppercase Letter 13
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 20
 
4.0%
스 14
 
2.8%
사 12
 
2.4%
국 11
 
2.2%
업 10
 
2.0%
지 10
 
2.0%
공 10
 
2.0%
게 9
 
1.8%
임 9
 
1.8%
기 9
 
1.8%
Other values (179) 384
77.1%
Lowercase Letter
ValueCountFrequency (%)
e 32
 
11.9%
a 28
 
10.4%
o 24
 
8.9%
p 15
 
5.6%
r 15
 
5.6%
i 15
 
5.6%
l 14
 
5.2%
t 13
 
4.8%
s 13
 
4.8%
n 12
 
4.4%
Other values (15) 89
33.0%
Uppercase Letter
ValueCountFrequency (%)
G 2
15.4%
M 2
15.4%
T 1
7.7%
V 1
7.7%
D 1
7.7%
N 1
7.7%
L 1
7.7%
S 1
7.7%
A 1
7.7%
O 1
7.7%
Space Separator
ValueCountFrequency (%)
166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
52.6%
Latin 283
29.9%
Common 166
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 20
 
4.0%
스 14
 
2.8%
사 12
 
2.4%
국 11
 
2.2%
업 10
 
2.0%
지 10
 
2.0%
공 10
 
2.0%
게 9
 
1.8%
임 9
 
1.8%
기 9
 
1.8%
Other values (179) 384
77.1%
Latin
ValueCountFrequency (%)
e 32
 
11.3%
a 28
 
9.9%
o 24
 
8.5%
p 15
 
5.3%
r 15
 
5.3%
i 15
 
5.3%
l 14
 
4.9%
t 13
 
4.6%
s 13
 
4.6%
n 12
 
4.2%
Other values (26) 102
36.0%
Common
ValueCountFrequency (%)
166
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
52.6%
ASCII 449
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
37.0%
e 32
 
7.1%
a 28
 
6.2%
o 24
 
5.3%
p 15
 
3.3%
r 15
 
3.3%
i 15
 
3.3%
l 14
 
3.1%
t 13
 
2.9%
s 13
 
2.9%
Other values (27) 114
25.4%
Hangul
ValueCountFrequency (%)
우 20
 
4.0%
스 14
 
2.8%
사 12
 
2.4%
국 11
 
2.2%
업 10
 
2.0%
지 10
 
2.0%
공 10
 
2.0%
게 9
 
1.8%
임 9
 
1.8%
기 9
 
1.8%
Other values (179) 384
77.1%

영상ID
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing5
Missing (%)19.2%
Memory size340.0 B
2023-12-10T23:14:56.840151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters231
Distinct characters62
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowUMBBIhaD-ww
2nd rowtpOkIZyCQXU
3rd rowohuMctPYXxU
4th rowPlGAS0p1miE
5th rowoMuIk5tKqgM
ValueCountFrequency (%)
umbbihad-ww 1
 
4.8%
36e-nw3deqi 1
 
4.8%
efomxmqcapy 1
 
4.8%
nnkkmq0w9n0 1
 
4.8%
hc0gthot33k 1
 
4.8%
ivte1ymuke4 1
 
4.8%
u9olt3gtzwe 1
 
4.8%
lwhuj05gsgm 1
 
4.8%
xqu-annfu8 1
 
4.8%
kcxr4r6lug4 1
 
4.8%
Other values (11) 11
52.4%
2023-12-10T23:14:57.425495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 9
 
3.9%
0 8
 
3.5%
M 8
 
3.5%
k 7
 
3.0%
c 7
 
3.0%
U 7
 
3.0%
3 6
 
2.6%
h 6
 
2.6%
u 6
 
2.6%
g 5
 
2.2%
Other values (52) 162
70.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 99
42.9%
Uppercase Letter 91
39.4%
Decimal Number 35
 
15.2%
Dash Punctuation 5
 
2.2%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 8
 
8.8%
U 7
 
7.7%
K 5
 
5.5%
E 5
 
5.5%
P 5
 
5.5%
I 5
 
5.5%
X 4
 
4.4%
O 4
 
4.4%
L 4
 
4.4%
Q 4
 
4.4%
Other values (16) 40
44.0%
Lowercase Letter
ValueCountFrequency (%)
t 9
 
9.1%
k 7
 
7.1%
c 7
 
7.1%
h 6
 
6.1%
u 6
 
6.1%
g 5
 
5.1%
q 5
 
5.1%
o 5
 
5.1%
e 5
 
5.1%
n 5
 
5.1%
Other values (15) 39
39.4%
Decimal Number
ValueCountFrequency (%)
0 8
22.9%
3 6
17.1%
4 5
14.3%
8 4
11.4%
5 4
11.4%
1 3
 
8.6%
9 2
 
5.7%
6 2
 
5.7%
7 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 190
82.3%
Common 41
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 9
 
4.7%
M 8
 
4.2%
k 7
 
3.7%
c 7
 
3.7%
U 7
 
3.7%
h 6
 
3.2%
u 6
 
3.2%
g 5
 
2.6%
q 5
 
2.6%
o 5
 
2.6%
Other values (41) 125
65.8%
Common
ValueCountFrequency (%)
0 8
19.5%
3 6
14.6%
4 5
12.2%
- 5
12.2%
8 4
9.8%
5 4
9.8%
1 3
 
7.3%
9 2
 
4.9%
6 2
 
4.9%
7 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 9
 
3.9%
0 8
 
3.5%
M 8
 
3.5%
k 7
 
3.0%
c 7
 
3.0%
U 7
 
3.0%
3 6
 
2.6%
h 6
 
2.6%
u 6
 
2.6%
g 5
 
2.2%
Other values (52) 162
70.1%

영상
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.92308
Minimum1
Maximum2008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T23:14:57.643509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q194.25
median140
Q3393.75
95-th percentile1736.75
Maximum2008
Range2007
Interquartile range (IQR)299.5

Descriptive statistics

Standard deviation577.2713
Coefficient of variation (CV)1.4398555
Kurtosis2.599411
Mean400.92308
Median Absolute Deviation (MAD)94.5
Skewness1.9253188
Sum10424
Variance333242.15
MonotonicityNot monotonic
2023-12-10T23:14:57.872749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
150 1
 
3.8%
1 1
 
3.8%
240 1
 
3.8%
114 1
 
3.8%
197 1
 
3.8%
125 1
 
3.8%
139 1
 
3.8%
424 1
 
3.8%
107 1
 
3.8%
17 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
5 1
3.8%
14 1
3.8%
17 1
3.8%
51 1
3.8%
62 1
3.8%
90 1
3.8%
107 1
3.8%
114 1
3.8%
119 1
3.8%
ValueCountFrequency (%)
2008 1
3.8%
1759 1
3.8%
1670 1
3.8%
1079 1
3.8%
821 1
3.8%
424 1
3.8%
406 1
3.8%
357 1
3.8%
240 1
3.8%
207 1
3.8%

채널분석조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18510770
Minimum343
Maximum1.3497131 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T23:14:58.142019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum343
5-th percentile859.5
Q1117822
median4607811.5
Q314379925
95-th percentile77732866
Maximum1.3497131 × 108
Range1.3497096 × 108
Interquartile range (IQR)14262103

Descriptive statistics

Standard deviation32453356
Coefficient of variation (CV)1.7532148
Kurtosis6.1756985
Mean18510770
Median Absolute Deviation (MAD)4606937.5
Skewness2.4340811
Sum4.8128003 × 108
Variance1.0532203 × 1015
MonotonicityNot monotonic
2023-12-10T23:14:58.386205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
13152102 1
 
3.8%
1353 1
 
3.8%
79472750 1
 
3.8%
9652545 1
 
3.8%
105602 1
 
3.8%
2208246 1
 
3.8%
7485876 1
 
3.8%
49228825 1
 
3.8%
1341232 1
 
3.8%
903 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
343 1
3.8%
845 1
3.8%
903 1
3.8%
1353 1
3.8%
38640 1
3.8%
57134 1
3.8%
105602 1
3.8%
154482 1
3.8%
316622 1
3.8%
1160434 1
3.8%
ValueCountFrequency (%)
134971307 1
3.8%
79472750 1
3.8%
72513214 1
3.8%
49228825 1
3.8%
38100054 1
3.8%
27607429 1
3.8%
14789199 1
3.8%
13152102 1
3.8%
11096387 1
3.8%
9652545 1
3.8%

Interactions

2023-12-10T23:14:46.130701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:44.719772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:45.434444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:46.296058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:44.881830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:45.690530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:46.446037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:45.144377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:45.947105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:14:58.564228image/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
범주1.0001.0001.0001.0001.0001.0000.6440.1210.0001.0001.0000.4990.944
채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
수1.0001.0001.0001.0000.6441.0001.0000.0001.0001.0001.0000.5930.894
구독자수비공개정보1.0001.0001.0001.0000.1211.0000.0001.0000.0001.0001.0000.0000.000
분석채널국가1.0001.0001.0001.0000.0001.0001.0000.0001.0001.0001.0000.4231.000
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
영상1.0001.0001.0001.0000.4991.0000.5930.0000.4231.0001.0001.0000.678
채널분석조회수1.0001.0001.0001.0000.9441.0000.8940.0001.0001.0001.0000.6781.000
2023-12-10T23:14:58.780245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분석채널국가범주구독자수비공개정보
분석채널국가1.0000.0000.000
범주0.0001.0000.187
구독자수비공개정보0.0000.1871.000
2023-12-10T23:14:58.930661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수영상채널분석조회수범주구독자수비공개정보분석채널국가
수1.0000.3540.9010.4490.0000.829
영상0.3541.0000.5430.3390.0000.354
채널분석조회수0.9010.5431.0000.6690.0000.866
범주0.4490.3390.6691.0000.1870.000
구독자수비공개정보0.0000.0000.0000.1871.0000.000
분석채널국가0.8290.3540.8660.0000.0001.000

Missing values

2023-12-10T23:14:46.729513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:14:47.144903image/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.
2023-12-10T23:14:47.406542image/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/UCOl4IG5vgBuXDZGTxSxaSgQ2021-05-012013-03-25https://yt3.ggpht.com/ytc/AAUvwngAjlc_KXz0w8IdwqtBVAiP9bjVu4cuqDTZZEIrow=s88-c-k-c0x00ffffff-no-rj<NA>M민자킴MJ Kim77000False<NA><NA>UMBBIhaD-ww15013152102
1https://www.youtube.com/channel/UCA5dXWL-EQ9UrDld11QG8BA2021-05-012017-11-16https://yt3.ggpht.com/ytc/AAUvwnhoTIAhB7XtiSopS9KBZzM5jjfC8U3hwdh7DQ=s88-c-k-c0x00ffffff-no-rj고양시 덕양구! 영상으로 만나요~＊P덕양구청0True<NA><NA><NA>5343
2https://www.youtube.com/channel/UCw3-jbBEWVitgOFHutWZmug2021-05-012019-02-19https://yt3.ggpht.com/ytc/AAUvwnja4OqMka-vb0bzW-72ygM6lnREFgY_3jgKWJcm=s88-c-k-c0x00ffffff-no-rj한국우편사업진흥원 공식 영상 소통 채널입니다 기획: 한국우편사업진흥원 우정문화실P한국우편사업진흥원588FalseKR우정문화 편지 우표 한국우편사업진흥원 우정사업본부 편지쓰기 엽서 우정 posa post 포스트 우체국과사람들 우체국쇼핑 공공기관 준정부기관 공무원 편지왕자 우체국콜센터 콜센터 우체국 쇼핑 전자우편 생활정보우편 DM 경영평가 우체국뉴스룸 postmall 한국우표포털 우표포털 한국우표포털서비스 우표박물관 준공무원 우정사업 우편사업 포사tpOkIZyCQXU14138640
3https://www.youtube.com/channel/UC8jn6wsEWH9Edynop6DYX8g2021-05-012019-09-30https://yt3.ggpht.com/ytc/AAUvwnjln66jYRrVQR2hGp500J_4BQ-u5IT3WAuF7KKnlw=s88-c-k-c0x00ffffff-no-rj전국 각지에 입 좀 턴다! 하는 분들을 모십니다. '구라철'이 직접 찾아갑니다! 우리 주변 남녀노소; 직업불문 '말 잘하는 분들'이라면 다 제보 받습니다! 제보와 추천은 아래 메일로 부탁드립니다. 제보 및 기타 문의 gura.givemoney@gmail.comT구라철167000FalseKR예능 김구라 구라철 구라ohuMctPYXxU5114789199
4https://www.youtube.com/channel/UCoNGys8NV8iInPK-AyTSgTA2021-05-012013-03-18https://yt3.ggpht.com/ytc/AAUvwnhBtU4IcnI71-aPK3xQx8aE5kj1sUvh9U_agdzkcQ=s88-c-k-c0x00ffffff-no-rj대한민국 산업통상자원부 공식채널입니다. 산업ㆍ통상ㆍ자원과 관련된 다양한 정책과 소식을 만나볼 수 있습니다.P대한민국 산업통상자원부0TrueKR산업통상자원부 산업부 산자부 성윤모 유명희 박진규PlGAS0p1miE17599343283
5https://www.youtube.com/channel/UCOUWDDkH2m4dvJvXP-GObHw2021-05-012019-08-23https://yt3.ggpht.com/ytc/AAUvwnhQ3uRj18MRM6cx338x8tsqD-AX6cjMASeGh-7RUA=s88-c-k-c0x00ffffff-no-rj안녕하세요 광주광역시 북구청 공식 유튜브 채널입니다.P광주북구청2100FalseKR광주북구청oMuIk5tKqgM9057134
6https://www.youtube.com/channel/UCO9alhNmbVwxlVY05qOJP5Q2021-05-012014-11-26https://yt3.ggpht.com/ytc/AAUvwng8Rj8JkLoePpVw1DcJVq5h9cfHVg4Et9UBGdzo4Q=s88-c-k-c0x00ffffff-no-rj게임 안 올리는 먹방 유튜버 너불입니다. 반려라쿤 광숙이와 함께 살고 있습니다. 6시쯤 업로드 됩니다.M너불230000FalseKR<NA>3LPAx0v8yZ440638100054
7https://www.youtube.com/channel/UCVNM-q28WEke8RO2HarFYTQ2021-05-012014-09-24https://yt3.ggpht.com/ytc/AAUvwnhuoqkCAHyP_kt_YlXhz9vjv-GwGEhFowWSe5Ak7A=s88-c-k-c0x00ffffff-no-rj대한민국 연예인 1호 뷰티크리에이터! 뷰티는 똑순이; 하는 짓은 허당인 귀여운 LA 새댁 :D 은지언니가 전해주는 뷰티 노하우와 라이프 스타일 같이 예뻐지고 싶은 이지쓰들 모두 구독해주세요 { Content Alliance Inquiry } E-mail egeeparkcom@gmail.com Instagram egeeparkcom https:www.instagram.comegeeparkcom 본 콘텐츠는 (주)제이제이글로벌그룹 제공으로 제작됩니다. 볼수록 빠져드는 매력적인 즐거움 JJ GLOBAL GROUP 주부 상식 https:jubusangsik.page.linkZMxPMEgee Park 박은지97100FalseKRmakeup egeeparkcom egeebeauty 이지뷰티 박은지 parkeunji 뷰티 메이크업 beauty 랜선집들이 화장 화장품추천 화장품 기초케어 lalife 미국 뷰티유튜버 네일 헤어스타일링 푸드 다이어트 daily vlog 데일리 아나운서 화장잘하는법 예뻐지는법 박은지아나운서 립스틱 쿠션 아이섀도우 아이쉐도우 블러셔 볼터치 헬스 요가 기상캐스터 로스엔젤레스 비버리힐즈 에르메스 버킨백 캘리백 명품백 시슬리 샤넬 구찌 마놀로블라닉HTBhl5DP8zE1197007377
8https://www.youtube.com/channel/UCHwOQ9wD0XJLnCEYiHQM1jQ2021-05-012017-06-04https://yt3.ggpht.com/ytc/AAUvwnhlKhIowVso-e5oCkU8uQ9G33kjiDRMOnxyWI3RKA=s88-c-k-c0x00ffffff-no-rj교사가 최고의 콘텐츠다! 대한민국 최고의 교사 크리에이터 연구회; 참쌤스쿨 공식 유튜브 채널입니다.P참쌤스쿨24300FalseKR교사 초등교사 교육콘텐츠 애니메이션 참쌤스쿨 참쌤7PpjdiqccNc82111096387
9https://www.youtube.com/channel/UCawCv9kO2UXbTtsK4EammRQ2021-05-012018-01-09https://yt3.ggpht.com/ytc/AAUvwniH7agRxcRiBgPKxhTjkS5SYpQcQv53I169E2vK5Q=s88-c-k-c0x00ffffff-no-rj'시대의 정직한 목격자' MBC PD수첩 공식 유튜브 채널입니다. ▶제보: 02-789-1789 pdnote@mbc.co.kr ▶홈페이지 : program.imbc.compdnote ▶페이스북 : www.facebook.commbcpdnote ▶트위터 : twitter.comPD_Note ▶본 콘텐츠의 저작권은 MBC에 있습니다. Copyright(c) MBC All rights reserved.TMBC PD수첩379000FalseKR시사r0ntmkChp4E1079134971307
경로명수집일생성일아이콘명설명범주채널명수구독자수비공개정보분석채널국가키워드영상ID영상채널분석조회수
16https://www.youtube.com/channel/UCs5Za0w0XjUzL_NFRh0tgSQ2021-05-012013-11-16https://yt3.ggpht.com/ytc/AAUvwnjququHMzaYpoy1qZtQDTqIuSDCCTvQ0qopgb228Q=s88-c-k-c0x00ffffff-no-rj개썅마이웨이로 살고 방송하는 사람입니다M맛카롱5060FalseKR카타교수_xQU-annFU81211473843
17https://www.youtube.com/channel/UCB0h96ARIixpsAD4Jkh0oQw2021-05-012015-03-09https://yt3.ggpht.com/ytc/AAUvwngQe0QRx-oHAJtiLtLW79jSfGX4Sr2kwdU94roW=s88-c-k-c0x00ffffff-no-rj공주시 공식 YouTube입니다! 세계유산도시 공주시에 오신것을 환영합니다.PGongju흥미진진 공주시4720FalseKR<NA>lwHUj05gSGM20081160434
18https://www.youtube.com/channel/UCeWQ3ri8_Q2-zCPHEdSR5ZQ2021-05-012014-02-26https://yt3.ggpht.com/ytc/AAUvwnhQc5YGbMaut6Wferz9BP-QHmfyE1weX46mQxJ8=s88-c-k-c0x00ffffff-no-rj꽃보름 채널에 오신것을 환영합니다! 제 체널은 지오메트리대쉬게임을 주로 다룹니다. 또한 가끔씩 버블파이터나 카트라이더;메이플스토리 등 영상도 올립니다 늘 시청해주셔서 감사합니다.MFlowerTheMoon_꽃보름107False<NA><NA><NA>17903
19https://www.youtube.com/channel/UCW7EqXImBozM-6dbLHiIB-g2021-05-012015-04-18https://yt3.ggpht.com/ytc/AAUvwnh6eMZlP8Mx8jPPO-04fb_imSsDLn-29-uwrQRJiA=s88-c-k-c0x00ffffff-no-rjBytedancetiktok korea; short-video operation manager~ing Fintech startupContents Team CJ ENM DIA TVMCN global Team TV chosun broadcasting stationProgram Director(variety show) based in Seoul; South Korea рад тебя видеть! Посмотрим вместе!MZi kroove12500FalseKRqpop kpop mv reaction analysisu9OLt3gtZWE1071341232
20https://www.youtube.com/channel/UCqzlmnFx9MGdJGD_5Bzk-Cw2021-05-012012-05-02https://yt3.ggpht.com/ytc/AAUvwnhZxFB7wuQEphE2twyMb4cRtlTihbCznqb6ahRYZw=s88-c-k-c0x00ffffff-no-rjHow to makecraftsculpt cute little projects out of polymer clay; uv resin and more Order my Book Here: https:bit.ly3rQgNaTMPolymomoTea334000FalseUSbasic beginner simple easy super project home self handmade do it yourself polymer how to diy resin clay creations craft polymomotea cute kawaii charm alex craftingIVte1ymuKe442449228825
21https://www.youtube.com/channel/UC3Er2EddkLvIxqyzBG5wC6w2021-05-012012-12-07https://yt3.ggpht.com/ytc/AAUvwni6Fzj6zROJxHRVHYH8tHzG0T-3T5rZf48bLYjVEA=s88-c-k-c0x00ffffff-no-rj양상국의 차알못 자동차 시승기!! 문의는 인스타 DM이나 unkoreass@gmail.com 으로 부탁드립니다^^M풀체인지51400FalseKR양상국 김승혜 풀체인지<NA>1397485876
22https://www.youtube.com/channel/UClO3Y9xjoWK7sDD8FuqbtTQ2021-05-012016-01-07https://yt3.ggpht.com/ytc/AAUvwnhE159g-fNHGH_42ZYtW4g-gJBBRp2xO6nJQ7-lsQ=s88-c-k-c0x00ffffff-no-rj더 좋은 세상을 만드는 ㄱㅅㄱㅅ (가스공사)P한국가스공사6660FalseKR한국가스공사 가스공사 공기업 에너지공기업 취업 공공기관 KOGAS LNG 천연가스 수소 수소경제 해외근무 해외파견 기술직 사무직hc0Gthot33k1252208246
23https://www.youtube.com/channel/UCShWZtIBep5wwGmxYhD15TQ2021-05-012017-10-17https://yt3.ggpht.com/ytc/AAUvwniVjBKXiGVk_luuMgPnbMAlwTfROaaIwf63lg_OTA=s88-c-k-c0x00ffffff-no-rj부산광역시 금정구의 깜찍한 유튜브 입니당~ 금정구의 다양한 소식과 정보를 금정구청 유튜브에서 확인하세요!P부산광역시금정구청1700False<NA>부산 금정구 금정 회동수원지 geumjeongguNNKKMq0W9n0197105602
24https://www.youtube.com/channel/UCCqTZS8j2pt2htweQRCG-SA2021-05-012013-11-11https://yt3.ggpht.com/ytc/AAUvwngNElMGNFsixzVAA3DgFVW2X9FBiu5jzbH4N5GaKA=s88-c-k-c0x00ffffff-no-rj[ 잡큐멘터리 20대 대학재학 곧 졸업 경기도민 성격 낯가림 ] 3년이라는 시간 동안 꿈을 찾아 헤맨 끝에; 드디어 꿈을 찾고 그 꿈을 이루기 위해 열심히 노력하는 중 드디어 찾은 꿈을 놓치지 않기 위해 하루하루를 기록하며 그 끝에 닿기 위해 부지런히 걷는 중 Jobcumentary@sandboxnetwork.net [팬사서함] 서울특별시 강남구 테헤란로 518 15층 샌드박스 네트워크 받는 사람명 - 잡큐멘터리 항상 열심히 노력하겠습니다!M잡큐멘터리93900FalseKR<NA>eFoMxMqcApY1149652545
25https://www.youtube.com/channel/UCtAw_capWxrWWtSmizxLvhg2021-05-012017-05-27https://yt3.ggpht.com/ytc/AAUvwniRmGUIv4Eu6UhFZmmBDuj4jdzqgL-sPysSVTEM=s88-c-k-c0x00ffffff-no-rj아프리카TV 베스트BJ *준아* 시골소통 낚시 먹방 문의 sdjsdj6254@naver.com 광고영상은 제작하지 않습니다~~M준아-Joona349000FalseKR낚시 먹방 술먹방 자연인 Mukbang korea korean foodLU1SksXJf5024079472750