Overview

Dataset statistics

Number of variables8
Number of observations29
Missing cells37
Missing cells (%)15.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory69.6 B

Variable types

Text5
Categorical1
DateTime1
Numeric1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/7c86c5b2-62e1-48dd-a89e-d741e5609f33

Alerts

재생목록수집일자 has constant value ""Constant
재생목록업로드일자 has 11 (37.9%) missing valuesMissing
재생목록설명 has 26 (89.7%) missing valuesMissing
재생목록ID has unique valuesUnique
재생목록명 has unique valuesUnique
영상목록 has 6 (20.7%) zerosZeros

Reproduction

Analysis started2023-12-10 14:24:52.765639
Analysis finished2023-12-10 14:24:53.436974
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재생목록ID
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:24:53.580686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length31.241379
Min length18

Characters and Unicode

Total characters906
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowPL5qRfk4DowRC75YZKzwHcB8_h4XadHB8l
2nd rowPLtqYizcPqxZRfY5QFFm_kPDu6GSCKa86p
3rd rowPLtqYizcPqxZTe88TQqJv7dTK1aUWurROv
4th rowPLjEfM9iTt3gw2HGluCrO5QofzgQ67qjHu
5th rowPLXNtvY3tkmgVZP-eQyhn53g_olCPEVs1J
ValueCountFrequency (%)
pl5qrfk4dowrc75yzkzwhcb8_h4xadhb8l 1
 
3.4%
plii9_rkfdqpcgvge7dxqnkjqpik0tfxwt 1
 
3.4%
plju1-gxd7k1681zcvqagijrbrwugds8xl 1
 
3.4%
pljbqnumobzeo-z-jq3vl43vridsnaxa0l 1
 
3.4%
pltqyizcpqxztkqf3-6s-9v1aqod5nj-qw 1
 
3.4%
plobbhydezqbe4vtgyzto1bsxc_maxkyh6 1
 
3.4%
pl600e4fa069d3b5a2 1
 
3.4%
pled8b5ad0a0481be5 1
 
3.4%
pld163b88882ea3569 1
 
3.4%
plvg2mveii7surdhmdsj8ptrhtw6i-yiej 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T23:24:53.936390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 44
 
4.9%
L 35
 
3.9%
d 22
 
2.4%
3 22
 
2.4%
Q 22
 
2.4%
6 21
 
2.3%
D 21
 
2.3%
A 20
 
2.2%
q 20
 
2.2%
E 20
 
2.2%
Other values (54) 659
72.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 397
43.8%
Lowercase Letter 313
34.5%
Decimal Number 164
18.1%
Connector Punctuation 19
 
2.1%
Dash Punctuation 13
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 44
 
11.1%
L 35
 
8.8%
Q 22
 
5.5%
D 21
 
5.3%
A 20
 
5.0%
E 20
 
5.0%
B 19
 
4.8%
Y 17
 
4.3%
O 16
 
4.0%
V 14
 
3.5%
Other values (16) 169
42.6%
Lowercase Letter
ValueCountFrequency (%)
d 22
 
7.0%
q 20
 
6.4%
z 19
 
6.1%
k 17
 
5.4%
g 16
 
5.1%
e 15
 
4.8%
y 14
 
4.5%
i 13
 
4.2%
v 13
 
4.2%
b 12
 
3.8%
Other values (16) 152
48.6%
Decimal Number
ValueCountFrequency (%)
3 22
13.4%
6 21
12.8%
8 20
12.2%
2 18
11.0%
1 15
9.1%
0 14
8.5%
7 14
8.5%
5 14
8.5%
9 13
7.9%
4 13
7.9%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 710
78.4%
Common 196
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 44
 
6.2%
L 35
 
4.9%
d 22
 
3.1%
Q 22
 
3.1%
D 21
 
3.0%
A 20
 
2.8%
q 20
 
2.8%
E 20
 
2.8%
z 19
 
2.7%
B 19
 
2.7%
Other values (42) 468
65.9%
Common
ValueCountFrequency (%)
3 22
11.2%
6 21
10.7%
8 20
10.2%
_ 19
9.7%
2 18
9.2%
1 15
7.7%
0 14
7.1%
7 14
7.1%
5 14
7.1%
9 13
6.6%
Other values (2) 26
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 44
 
4.9%
L 35
 
3.9%
d 22
 
2.4%
3 22
 
2.4%
Q 22
 
2.4%
6 21
 
2.3%
D 21
 
2.3%
A 20
 
2.2%
q 20
 
2.2%
E 20
 
2.2%
Other values (54) 659
72.7%
Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:24:54.141113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters696
Distinct characters63
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

Unique10 ?
Unique (%)34.5%

Sample

1st rowUCFL1sCAksD6_7JIZwwHcwjQ
2nd rowUCiBr0bK06imaMbLc8sAEz0A
3rd rowUCiBr0bK06imaMbLc8sAEz0A
4th rowUCHlSeJxRIXZWMARC2oMwmcQ
5th rowUClDbuB3bgZYVIaN3534c_ew
ValueCountFrequency (%)
ucg5bassl2h0wjlg4bev5scq 5
17.2%
ucfl1scaksd6_7jizwwhcwjq 3
10.3%
ucibr0bk06imamblc8saez0a 3
10.3%
uce52oeb7xv_kajsezckxjjg 3
10.3%
uchpjiaegwtdztmwekzfulsa 3
10.3%
uchlsejxrixzwmarc2omwmcq 2
 
6.9%
ucldbub3bgzyvian3534c_ew 1
 
3.4%
ucz2cthq1f310lbxzsklflwg 1
 
3.4%
uc7lb15p-hux7a5gbuhcxtuq 1
 
3.4%
uccwwpm3zkhvckg0tmupkgaa 1
 
3.4%
Other values (6) 6
20.7%
2023-12-10T23:24:54.502635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 38
 
5.5%
U 32
 
4.6%
w 25
 
3.6%
s 24
 
3.4%
A 23
 
3.3%
b 21
 
3.0%
c 21
 
3.0%
E 19
 
2.7%
0 19
 
2.7%
l 17
 
2.4%
Other values (53) 457
65.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 302
43.4%
Lowercase Letter 286
41.1%
Decimal Number 95
 
13.6%
Connector Punctuation 7
 
1.0%
Dash Punctuation 6
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 25
 
8.7%
s 24
 
8.4%
b 21
 
7.3%
c 21
 
7.3%
l 17
 
5.9%
k 15
 
5.2%
g 14
 
4.9%
z 12
 
4.2%
a 12
 
4.2%
m 12
 
4.2%
Other values (16) 113
39.5%
Uppercase Letter
ValueCountFrequency (%)
C 38
 
12.6%
U 32
 
10.6%
A 23
 
7.6%
E 19
 
6.3%
Z 14
 
4.6%
J 14
 
4.6%
G 14
 
4.6%
D 13
 
4.3%
Q 13
 
4.3%
B 13
 
4.3%
Other values (15) 109
36.1%
Decimal Number
ValueCountFrequency (%)
0 19
20.0%
2 17
17.9%
5 16
16.8%
4 10
10.5%
7 10
10.5%
1 7
 
7.4%
6 6
 
6.3%
3 5
 
5.3%
8 3
 
3.2%
9 2
 
2.1%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 588
84.5%
Common 108
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 38
 
6.5%
U 32
 
5.4%
w 25
 
4.3%
s 24
 
4.1%
A 23
 
3.9%
b 21
 
3.6%
c 21
 
3.6%
E 19
 
3.2%
l 17
 
2.9%
k 15
 
2.6%
Other values (41) 353
60.0%
Common
ValueCountFrequency (%)
0 19
17.6%
2 17
15.7%
5 16
14.8%
4 10
9.3%
7 10
9.3%
_ 7
 
6.5%
1 7
 
6.5%
6 6
 
5.6%
- 6
 
5.6%
3 5
 
4.6%
Other values (2) 5
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 38
 
5.5%
U 32
 
4.6%
w 25
 
3.6%
s 24
 
3.4%
A 23
 
3.3%
b 21
 
3.0%
c 21
 
3.0%
E 19
 
2.7%
0 19
 
2.7%
l 17
 
2.4%
Other values (53) 457
65.7%

재생목록수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2021-09-01
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-01
2nd row2021-09-01
3rd row2021-09-01
4th row2021-09-01
5th row2021-09-01

Common Values

ValueCountFrequency (%)
2021-09-01 29
100.0%

Length

2023-12-10T23:24:54.628951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:54.711005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 29
100.0%
Distinct16
Distinct (%)88.9%
Missing11
Missing (%)37.9%
Memory size364.0 B
Minimum2012-04-04 00:00:00
Maximum2020-11-20 00:00:00
2023-12-10T23:24:54.784713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:24:54.888884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

재생목록명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:24:55.103234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length26
Mean length20.517241
Min length4

Characters and Unicode

Total characters595
Distinct characters168
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row20170219 이규연의 스포트라이트 88회
2nd row해피타임: Season 42
3rd row세바퀴: Season 410
4th row박원숙의 같이 삽시다 20180707
5th row인슬레이브드(Enslaved: Odyssey To The West)[완결]
ValueCountFrequency (%)
season 10
 
8.9%
가수다 3
 
2.7%
나는 3
 
2.7%
해피타임 2
 
1.8%
you 2
 
1.8%
the 2
 
1.8%
20170219 1
 
0.9%
1
 
0.9%
heart 1
 
0.9%
my 1
 
0.9%
Other values (86) 86
76.8%
2023-12-10T23:24:55.492710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
13.9%
e 26
 
4.4%
0 24
 
4.0%
2 20
 
3.4%
n 20
 
3.4%
s 19
 
3.2%
a 19
 
3.2%
o 19
 
3.2%
1 16
 
2.7%
S 13
 
2.2%
Other values (158) 336
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
29.9%
Lowercase Letter 157
26.4%
Decimal Number 102
17.1%
Space Separator 83
13.9%
Uppercase Letter 47
 
7.9%
Other Punctuation 16
 
2.7%
Open Punctuation 5
 
0.8%
Close Punctuation 5
 
0.8%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
5.1%
5
 
2.8%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (100) 129
72.5%
Lowercase Letter
ValueCountFrequency (%)
e 26
16.6%
n 20
12.7%
s 19
12.1%
a 19
12.1%
o 19
12.1%
t 7
 
4.5%
d 6
 
3.8%
h 6
 
3.8%
r 5
 
3.2%
y 5
 
3.2%
Other values (11) 25
15.9%
Uppercase Letter
ValueCountFrequency (%)
S 13
27.7%
E 5
 
10.6%
T 3
 
6.4%
K 3
 
6.4%
I 3
 
6.4%
N 3
 
6.4%
H 2
 
4.3%
Y 2
 
4.3%
A 2
 
4.3%
P 2
 
4.3%
Other values (7) 9
19.1%
Decimal Number
ValueCountFrequency (%)
0 24
23.5%
2 20
19.6%
1 16
15.7%
5 8
 
7.8%
7 8
 
7.8%
4 6
 
5.9%
8 6
 
5.9%
3 6
 
5.9%
6 5
 
4.9%
9 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
: 11
68.8%
' 3
 
18.8%
. 1
 
6.2%
; 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
[ 4
80.0%
( 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
] 4
80.0%
) 1
 
20.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 213
35.8%
Latin 204
34.3%
Hangul 178
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
5.1%
5
 
2.8%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (100) 129
72.5%
Latin
ValueCountFrequency (%)
e 26
12.7%
n 20
 
9.8%
s 19
 
9.3%
a 19
 
9.3%
o 19
 
9.3%
S 13
 
6.4%
t 7
 
3.4%
d 6
 
2.9%
h 6
 
2.9%
r 5
 
2.5%
Other values (28) 64
31.4%
Common
ValueCountFrequency (%)
83
39.0%
0 24
 
11.3%
2 20
 
9.4%
1 16
 
7.5%
: 11
 
5.2%
5 8
 
3.8%
7 8
 
3.8%
4 6
 
2.8%
8 6
 
2.8%
3 6
 
2.8%
Other values (10) 25
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417
70.1%
Hangul 178
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
19.9%
e 26
 
6.2%
0 24
 
5.8%
2 20
 
4.8%
n 20
 
4.8%
s 19
 
4.6%
a 19
 
4.6%
o 19
 
4.6%
1 16
 
3.8%
S 13
 
3.1%
Other values (48) 158
37.9%
Hangul
ValueCountFrequency (%)
9
 
5.1%
5
 
2.8%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (100) 129
72.5%

재생목록설명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing26
Missing (%)89.7%
Memory size364.0 B
2023-12-10T23:24:55.749007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length41
Mean length54.666667
Min length19

Characters and Unicode

Total characters164
Distinct characters90
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row현대판 서유기! 상남자 손오공과 미모의 삼장법사가 펼쳐가는 좌충우돌 모험~
2nd row도봉문화원 문화해설사는 코로나-19 상황에 따라 대면 행사로 진행되는 토요탐방 도봉기행을 비대면 언택트 도봉기행으로 진행하였습니다. 도봉구 문화유산을 문화원 해설사들이 직접 해설했습니다.
3rd row2013년 8월 5일(월); KDI
ValueCountFrequency (%)
현대판 1
 
3.0%
토요탐방 1
 
3.0%
5일(월 1
 
3.0%
8월 1
 
3.0%
2013년 1
 
3.0%
해설했습니다 1
 
3.0%
직접 1
 
3.0%
해설사들이 1
 
3.0%
문화원 1
 
3.0%
문화유산을 1
 
3.0%
Other values (23) 23
69.7%
2023-12-10T23:24:56.108819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
18.3%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
3
 
1.8%
3
 
1.8%
Other values (80) 100
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
70.1%
Space Separator 30
 
18.3%
Decimal Number 8
 
4.9%
Other Punctuation 4
 
2.4%
Uppercase Letter 3
 
1.8%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Math Symbol 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
4.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (62) 78
67.8%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
5 1
12.5%
8 1
12.5%
3 1
12.5%
0 1
12.5%
2 1
12.5%
9 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
; 1
25.0%
! 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
K 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
70.1%
Common 46
 
28.0%
Latin 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
4.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (62) 78
67.8%
Common
ValueCountFrequency (%)
30
65.2%
. 2
 
4.3%
1 2
 
4.3%
; 1
 
2.2%
) 1
 
2.2%
( 1
 
2.2%
5 1
 
2.2%
8 1
 
2.2%
3 1
 
2.2%
0 1
 
2.2%
Other values (5) 5
 
10.9%
Latin
ValueCountFrequency (%)
D 1
33.3%
K 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
70.1%
ASCII 49
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
61.2%
. 2
 
4.1%
1 2
 
4.1%
D 1
 
2.0%
K 1
 
2.0%
; 1
 
2.0%
) 1
 
2.0%
( 1
 
2.0%
5 1
 
2.0%
8 1
 
2.0%
Other values (8) 8
 
16.3%
Hangul
ValueCountFrequency (%)
5
 
4.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (62) 78
67.8%
Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:24:56.296069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length46
Mean length44.344828
Min length40

Characters and Unicode

Total characters1286
Distinct characters65
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 (%)72.4%

Sample

1st rowhttps://i.ytimg.com/img/no_thumbnail.jpg
2nd rowhttps://i.ytimg.com/img/no_thumbnail.jpg
3rd rowhttps://i.ytimg.com/img/no_thumbnail.jpg
4th rowhttps://i.ytimg.com/vi/MZRXRhUmBcc/default.jpg
5th rowhttps://i.ytimg.com/vi/2xvaC1Y85fY/default.jpg
ValueCountFrequency (%)
https://i.ytimg.com/img/no_thumbnail.jpg 8
27.6%
https://i.ytimg.com/vi/mzrxrhumbcc/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/wq27wptjny4/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/z7qofjw0b4q/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/ldzjdbcqkqi/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/iafg4rvmhra/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/ti4qmknl_yo/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/6jd_brdg7lw/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/kjh1pmqwgrq/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/d505uipiqgu/default.jpg 1
 
3.4%
Other values (12) 12
41.4%
2023-12-10T23:24:56.587642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 137
 
10.7%
t 119
 
9.3%
i 98
 
7.6%
. 87
 
6.8%
m 76
 
5.9%
g 70
 
5.4%
p 62
 
4.8%
o 42
 
3.3%
h 41
 
3.2%
c 36
 
2.8%
Other values (55) 518
40.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 884
68.7%
Other Punctuation 253
 
19.7%
Uppercase Letter 98
 
7.6%
Decimal Number 40
 
3.1%
Connector Punctuation 11
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 119
13.5%
i 98
 
11.1%
m 76
 
8.6%
g 70
 
7.9%
p 62
 
7.0%
o 42
 
4.8%
h 41
 
4.6%
c 36
 
4.1%
u 33
 
3.7%
a 32
 
3.6%
Other values (16) 275
31.1%
Uppercase Letter
ValueCountFrequency (%)
Y 9
 
9.2%
Q 8
 
8.2%
M 7
 
7.1%
J 6
 
6.1%
R 6
 
6.1%
G 6
 
6.1%
B 5
 
5.1%
U 5
 
5.1%
D 5
 
5.1%
I 4
 
4.1%
Other values (15) 37
37.8%
Decimal Number
ValueCountFrequency (%)
0 6
15.0%
5 6
15.0%
8 6
15.0%
2 5
12.5%
4 5
12.5%
7 4
10.0%
6 3
7.5%
3 2
 
5.0%
1 2
 
5.0%
9 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 137
54.2%
. 87
34.4%
: 29
 
11.5%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 982
76.4%
Common 304
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 119
 
12.1%
i 98
 
10.0%
m 76
 
7.7%
g 70
 
7.1%
p 62
 
6.3%
o 42
 
4.3%
h 41
 
4.2%
c 36
 
3.7%
u 33
 
3.4%
a 32
 
3.3%
Other values (41) 373
38.0%
Common
ValueCountFrequency (%)
/ 137
45.1%
. 87
28.6%
: 29
 
9.5%
_ 11
 
3.6%
0 6
 
2.0%
5 6
 
2.0%
8 6
 
2.0%
2 5
 
1.6%
4 5
 
1.6%
7 4
 
1.3%
Other values (4) 8
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 137
 
10.7%
t 119
 
9.3%
i 98
 
7.6%
. 87
 
6.8%
m 76
 
5.9%
g 70
 
5.4%
p 62
 
4.8%
o 42
 
3.3%
h 41
 
3.2%
c 36
 
2.8%
Other values (55) 518
40.3%

영상목록
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8275862
Minimum0
Maximum35
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T23:24:56.683716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q311
95-th percentile22.8
Maximum35
Range35
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.9869043
Coefficient of variation (CV)1.0203534
Kurtosis4.2001268
Mean7.8275862
Median Absolute Deviation (MAD)5
Skewness1.8255722
Sum227
Variance63.79064
MonotonicityNot monotonic
2023-12-10T23:24:56.779153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 6
20.7%
4 4
13.8%
7 3
10.3%
11 3
10.3%
6 2
 
6.9%
12 2
 
6.9%
5 2
 
6.9%
8 2
 
6.9%
15 1
 
3.4%
26 1
 
3.4%
Other values (3) 3
10.3%
ValueCountFrequency (%)
0 6
20.7%
1 1
 
3.4%
4 4
13.8%
5 2
 
6.9%
6 2
 
6.9%
7 3
10.3%
8 2
 
6.9%
11 3
10.3%
12 2
 
6.9%
15 1
 
3.4%
ValueCountFrequency (%)
35 1
 
3.4%
26 1
 
3.4%
18 1
 
3.4%
15 1
 
3.4%
12 2
6.9%
11 3
10.3%
8 2
6.9%
7 3
10.3%
6 2
6.9%
5 2
6.9%

Interactions

2023-12-10T23:24:53.133496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:24:56.857748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재생목록ID재생목록채널ID재생목록업로드일자재생목록명재생목록설명재생목록아이콘영상목록
재생목록ID1.0001.0001.0001.0001.0001.0001.000
재생목록채널ID1.0001.0000.8241.0001.0000.9270.984
재생목록업로드일자1.0000.8241.0001.0001.0000.9690.948
재생목록명1.0001.0001.0001.0001.0001.0001.000
재생목록설명1.0001.0001.0001.0001.0001.0001.000
재생목록아이콘1.0000.9270.9691.0001.0001.0000.965
영상목록1.0000.9840.9481.0001.0000.9651.000

Missing values

2023-12-10T23:24:53.225013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:24:53.317767image/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.
2023-12-10T23:24:53.397888image/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

재생목록ID재생목록채널ID재생목록수집일자재생목록업로드일자재생목록명재생목록설명재생목록아이콘영상목록
0PL5qRfk4DowRC75YZKzwHcB8_h4XadHB8lUCFL1sCAksD6_7JIZwwHcwjQ2021-09-01<NA>20170219 이규연의 스포트라이트 88회<NA>https://i.ytimg.com/img/no_thumbnail.jpg7
1PLtqYizcPqxZRfY5QFFm_kPDu6GSCKa86pUCiBr0bK06imaMbLc8sAEz0A2021-09-01<NA>해피타임: Season 42<NA>https://i.ytimg.com/img/no_thumbnail.jpg0
2PLtqYizcPqxZTe88TQqJv7dTK1aUWurROvUCiBr0bK06imaMbLc8sAEz0A2021-09-01<NA>세바퀴: Season 410<NA>https://i.ytimg.com/img/no_thumbnail.jpg0
3PLjEfM9iTt3gw2HGluCrO5QofzgQ67qjHuUCHlSeJxRIXZWMARC2oMwmcQ2021-09-012019-01-11박원숙의 같이 삽시다 20180707<NA>https://i.ytimg.com/vi/MZRXRhUmBcc/default.jpg6
4PLXNtvY3tkmgVZP-eQyhn53g_olCPEVs1JUClDbuB3bgZYVIaN3534c_ew2021-09-012014-02-02인슬레이브드(Enslaved: Odyssey To The West)[완결]현대판 서유기! 상남자 손오공과 미모의 삼장법사가 펼쳐가는 좌충우돌 모험~https://i.ytimg.com/vi/2xvaC1Y85fY/default.jpg15
5PLWDz_A_ER6342PfzonOyMXehFmX0jnjO0UCe52oeb7Xv_KaJsEzcKXJJg2021-09-01<NA>나는 가수다: Season 436<NA>https://i.ytimg.com/img/no_thumbnail.jpg0
6PLWDz_A_ER637kiXkA5UyjX4DU2zW12kUhUCe52oeb7Xv_KaJsEzcKXJJg2021-09-012019-02-02나는 가수다: Season 209<NA>https://i.ytimg.com/img/no_thumbnail.jpg0
7PL7SyZNuM21Vdg6d3OA-hvz_0GscKfrJpwUCZ2Cthq1f310LbXZsklflwg2021-09-012020-11-05언택트 도봉기행도봉문화원 문화해설사는 코로나-19 상황에 따라 대면 행사로 진행되는 토요탐방 도봉기행을 비대면 언택트 도봉기행으로 진행하였습니다. 도봉구 문화유산을 문화원 해설사들이 직접 해설했습니다.https://i.ytimg.com/img/no_thumbnail.jpg12
8PLOBbhydezQbdOe4uiLqAMeYfdc_pOQY3QUCG5bAssl2H0wjLG4BEv5ScQ2021-09-012019-02-02논스톱5: Season 243<NA>https://i.ytimg.com/vi/fBhA0sLY2PU/default.jpg4
9PL62DBA29EB24A97C6UChpjIaEgwtDZtmWEkzFulSA2021-09-012012-06-19Yellow Handkerchief 20030630<NA>https://i.ytimg.com/vi/cLT8HvXha38/default.jpg4
재생목록ID재생목록채널ID재생목록수집일자재생목록업로드일자재생목록명재생목록설명재생목록아이콘영상목록
19PL281F82AAE3EE0C2EUCG5bAssl2H0wjLG4BEv5ScQ2021-09-012012-04-04뉴 논스톱 EP245 Nonstop<NA>https://i.ytimg.com/vi/kJH1PMQwGRQ/default.jpg4
20PLVg2MvEiI7SurDhMDsJ8PTRHTw6I-yiejUCE-dD-DSNyhGmp-drygwk4Q2021-09-012020-11-20산단공 포스트코로나 온라인 강연<NA>https://i.ytimg.com/vi/6JD_brdG7Lw/default.jpg7
21PLD163B88882EA3569UChpjIaEgwtDZtmWEkzFulSA2021-09-012012-05-28The Woman; Sun-ok 20070312<NA>https://i.ytimg.com/img/no_thumbnail.jpg0
22PLED8B5AD0A0481BE5UCG5bAssl2H0wjLG4BEv5ScQ2021-09-01<NA>[내 마음이 들리니] Can you hear my heart Ep.17<NA>https://i.ytimg.com/vi/Ti4QMkNl_Yo/default.jpg8
23PL600E4FA069D3B5A2UChpjIaEgwtDZtmWEkzFulSA2021-09-012012-06-18Hearts of Nineteen 20060711<NA>https://i.ytimg.com/vi/IAfG4RVMHRA/default.jpg4
24PLOBbhydezQbe4VtgyZtO1Bsxc_maxkyH6UCG5bAssl2H0wjLG4BEv5ScQ2021-09-012013-03-13그대 그리고 나 EP50 You and I<NA>https://i.ytimg.com/vi/lDzjdBcQkQI/default.jpg11
25PLtqYizcPqxZTKqF3-6S-9v1aqOd5NJ-QwUCiBr0bK06imaMbLc8sAEz0A2021-09-012019-02-02해피타임: Season 505<NA>https://i.ytimg.com/img/no_thumbnail.jpg0
26PLjbQnuMoBZeo-Z-JQ3vL43vriDsNAxa0lUCubybnI2mstR-E24cc0rt9w2021-09-01<NA>[Mnics에투샤] Five Nights at Freddy's<NA>https://i.ytimg.com/vi/Z7qoFjw0b4Q/default.jpg1
27PLjU1-gXd7k1681zCvQagiJrBrWugdS8xLUCnDqn2eDAnGl2jc0i-7WK7g2021-09-012014-02-10암네시아 오리지널 쫄보의 시작 [김갠지]<NA>https://i.ytimg.com/vi/wq27wpTJnY4/default.jpg6
28PLTIv6N2kNYZbXq3f27MQBUbAyAo1wNPPDUCDBf2l0Z4fhutCrlNIek1Tw2021-09-012020-10-08KRISS 측정놀이터<NA>https://i.ytimg.com/vi/p8nDQqBRkuM/default.jpg8