Overview

Dataset statistics

Number of variables8
Number of observations29
Missing cells29
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory70.6 B

Variable types

Text4
Categorical1
DateTime1
Unsupported1
Numeric1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/d13a3d46-ac43-436d-9f47-369ff7f08fc3

Alerts

재생목록수집일자 has constant value ""Constant
재생목록설명 has 29 (100.0%) missing valuesMissing
재생목록ID has unique valuesUnique
재생목록명 has unique valuesUnique
재생목록설명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영상목록 has 5 (17.2%) zerosZeros

Reproduction

Analysis started2023-12-10 14:16:50.630764
Analysis finished2023-12-10 14:16:51.791326
Duration1.16 second
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
2023-12-10T23:16:52.041108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length30.137931
Min length18

Characters and Unicode

Total characters874
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 rowPLBDAF5B76300D4E34
2nd rowPLKGrX96Q1q7rXzx5AQv54aK3TyPkd2YOW
3rd rowPLD79BFA32AC477A2C
4th rowPLAE131EBAA293AE1E
5th rowPLIJQhc-sjjYL1MxbJohxVywjI1npb4078
ValueCountFrequency (%)
plbdaf5b76300d4e34 1
 
3.4%
pltqyizcpqxzsd7h91ektkhgk_k7nbg9zp 1
 
3.4%
plobbhydezqbful7emq_kzobxygxv4v-if 1
 
3.4%
pljefm9itt3gyo2clju7z-9a2ghkw838xw 1
 
3.4%
plobbhydezqbdmfosn4foqywa5fxvnvdh7 1
 
3.4%
plc083ce841e7218db 1
 
3.4%
plpuzwnakjqgbq3wuwdqq4zkvgm9bfam4s 1
 
3.4%
pl3b7a747081f8442d 1
 
3.4%
pltqyizcpqxzsoo1t-2umnnq7gk3vbbehs 1
 
3.4%
pl5qrfk4dowrd1vzdd3f8d4xbeqkuazzfg 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T23:16:52.610227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 42
 
4.8%
L 37
 
4.2%
3 23
 
2.6%
4 23
 
2.6%
A 22
 
2.5%
q 22
 
2.5%
E 22
 
2.5%
7 21
 
2.4%
z 20
 
2.3%
D 19
 
2.2%
Other values (54) 623
71.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 407
46.6%
Lowercase Letter 277
31.7%
Decimal Number 164
18.8%
Dash Punctuation 15
 
1.7%
Connector Punctuation 11
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 42
 
10.3%
L 37
 
9.1%
A 22
 
5.4%
E 22
 
5.4%
D 19
 
4.7%
Q 19
 
4.7%
B 18
 
4.4%
F 17
 
4.2%
Z 15
 
3.7%
W 15
 
3.7%
Other values (16) 181
44.5%
Lowercase Letter
ValueCountFrequency (%)
q 22
 
7.9%
z 20
 
7.2%
k 16
 
5.8%
n 15
 
5.4%
f 14
 
5.1%
g 14
 
5.1%
b 14
 
5.1%
x 13
 
4.7%
i 13
 
4.7%
h 12
 
4.3%
Other values (16) 124
44.8%
Decimal Number
ValueCountFrequency (%)
3 23
14.0%
4 23
14.0%
7 21
12.8%
9 19
11.6%
8 17
10.4%
1 16
9.8%
5 15
9.1%
2 14
8.5%
6 9
 
5.5%
0 7
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 684
78.3%
Common 190
 
21.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 42
 
6.1%
L 37
 
5.4%
A 22
 
3.2%
q 22
 
3.2%
E 22
 
3.2%
z 20
 
2.9%
D 19
 
2.8%
Q 19
 
2.8%
B 18
 
2.6%
F 17
 
2.5%
Other values (42) 446
65.2%
Common
ValueCountFrequency (%)
3 23
12.1%
4 23
12.1%
7 21
11.1%
9 19
10.0%
8 17
8.9%
1 16
8.4%
- 15
7.9%
5 15
7.9%
2 14
7.4%
_ 11
5.8%
Other values (2) 16
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 42
 
4.8%
L 37
 
4.2%
3 23
 
2.6%
4 23
 
2.6%
A 22
 
2.5%
q 22
 
2.5%
E 22
 
2.5%
7 21
 
2.4%
z 20
 
2.3%
D 19
 
2.2%
Other values (54) 623
71.3%

재생목록채널ID
Text

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:16:52.944724image/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

Unique8 ?
Unique (%)27.6%

Sample

1st rowUCiBr0bK06imaMbLc8sAEz0A
2nd rowUC7lb15P-Hux7A5gBuhCxtuQ
3rd rowUCiBr0bK06imaMbLc8sAEz0A
4th rowUCG5bAssl2H0wjLG4BEv5ScQ
5th rowUCygs-_iDpCJOnhuCZibK7JQ
ValueCountFrequency (%)
ucibr0bk06imamblc8saez0a 5
17.2%
uc7lb15p-hux7a5gbuhcxtuq 3
10.3%
ucg5bassl2h0wjlg4bev5scq 3
10.3%
ucfl1scaksd6_7jizwwhcwjq 3
10.3%
uchlsejxrixzwmarc2omwmcq 3
10.3%
uce52oeb7xv_kajsezckxjjg 2
 
6.9%
uc4lw3soslc14vn5bconubkg 2
 
6.9%
ucygs-_idpcjonhuczibk7jq 1
 
3.4%
uczfcnlpkxzs2b5rotjlnb9a 1
 
3.4%
ucyzv9v_bwfmgc64glre34oa 1
 
3.4%
Other values (5) 5
17.2%
2023-12-10T23:16:53.356488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 44
 
6.3%
U 31
 
4.5%
A 29
 
4.2%
s 25
 
3.6%
c 23
 
3.3%
b 23
 
3.3%
0 19
 
2.7%
w 18
 
2.6%
5 17
 
2.4%
i 16
 
2.3%
Other values (53) 451
64.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 312
44.8%
Lowercase Letter 266
38.2%
Decimal Number 105
 
15.1%
Connector Punctuation 9
 
1.3%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 25
 
9.4%
c 23
 
8.6%
b 23
 
8.6%
w 18
 
6.8%
i 16
 
6.0%
l 14
 
5.3%
u 14
 
5.3%
g 13
 
4.9%
x 12
 
4.5%
k 10
 
3.8%
Other values (16) 98
36.8%
Uppercase Letter
ValueCountFrequency (%)
C 44
14.1%
U 31
 
9.9%
A 29
 
9.3%
B 16
 
5.1%
J 15
 
4.8%
H 15
 
4.8%
Q 15
 
4.8%
L 15
 
4.8%
M 14
 
4.5%
E 12
 
3.8%
Other values (15) 106
34.0%
Decimal Number
ValueCountFrequency (%)
0 19
18.1%
5 17
16.2%
4 14
13.3%
7 14
13.3%
6 11
10.5%
2 9
8.6%
1 8
7.6%
8 6
 
5.7%
9 4
 
3.8%
3 3
 
2.9%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 578
83.0%
Common 118
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 44
 
7.6%
U 31
 
5.4%
A 29
 
5.0%
s 25
 
4.3%
c 23
 
4.0%
b 23
 
4.0%
w 18
 
3.1%
i 16
 
2.8%
B 16
 
2.8%
J 15
 
2.6%
Other values (41) 338
58.5%
Common
ValueCountFrequency (%)
0 19
16.1%
5 17
14.4%
4 14
11.9%
7 14
11.9%
6 11
9.3%
2 9
7.6%
_ 9
7.6%
1 8
6.8%
8 6
 
5.1%
- 4
 
3.4%
Other values (2) 7
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 44
 
6.3%
U 31
 
4.5%
A 29
 
4.2%
s 25
 
3.6%
c 23
 
3.3%
b 23
 
3.3%
0 19
 
2.7%
w 18
 
2.6%
5 17
 
2.4%
i 16
 
2.3%
Other values (53) 451
64.8%

재생목록수집일자
Categorical

CONSTANT 

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

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T23:16:53.552471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:53.648788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-01 29
100.0%

재생목록업로드일자
Date

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2012-01-07 00:00:00
Maximum2020-10-05 00:00:00
2023-12-10T23:16:53.736812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:53.857379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

재생목록명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:16:54.144445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length26
Mean length19.62069
Min length2

Characters and Unicode

Total characters569
Distinct characters154
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row우리 결혼했어요 We got Married 20111217
2nd row애정만만세: Season 14
3rd row라디오스타 The Radio Star 20120523
4th row내 인생의 황금기 EP41 All About My Family
5th row스팸인간
ValueCountFrequency (%)
season 10
 
9.4%
60min 2
 
1.9%
2
 
1.9%
trace 2
 
1.9%
radio 2
 
1.9%
pretty 2
 
1.9%
우리 1
 
0.9%
컴퓨터 1
 
0.9%
쿠키 1
 
0.9%
20081029 1
 
0.9%
Other values (82) 82
77.4%
2023-12-10T23:16:54.579278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
13.5%
0 39
 
6.9%
1 33
 
5.8%
2 26
 
4.6%
a 22
 
3.9%
e 19
 
3.3%
n 18
 
3.2%
o 18
 
3.2%
s 12
 
2.1%
S 12
 
2.1%
Other values (144) 293
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 143
25.1%
Decimal Number 138
24.3%
Other Letter 131
23.0%
Space Separator 77
13.5%
Uppercase Letter 57
 
10.0%
Other Punctuation 12
 
2.1%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Dash Punctuation 2
 
0.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 5
 
3.8%
인 4
 
3.1%
해 3
 
2.3%
의 3
 
2.3%
회 3
 
2.3%
우 3
 
2.3%
신 2
 
1.5%
바 2
 
1.5%
마 2
 
1.5%
고 2
 
1.5%
Other values (89) 102
77.9%
Lowercase Letter
ValueCountFrequency (%)
a 22
15.4%
e 19
13.3%
n 18
12.6%
o 18
12.6%
s 12
8.4%
t 9
6.3%
r 8
 
5.6%
m 6
 
4.2%
y 5
 
3.5%
i 5
 
3.5%
Other values (10) 21
14.7%
Uppercase Letter
ValueCountFrequency (%)
S 12
21.1%
M 5
8.8%
E 4
 
7.0%
T 4
 
7.0%
P 4
 
7.0%
A 4
 
7.0%
O 4
 
7.0%
D 3
 
5.3%
I 3
 
5.3%
R 3
 
5.3%
Other values (7) 11
19.3%
Decimal Number
ValueCountFrequency (%)
0 39
28.3%
1 33
23.9%
2 26
18.8%
9 11
 
8.0%
5 6
 
4.3%
3 6
 
4.3%
6 6
 
4.3%
4 4
 
2.9%
7 4
 
2.9%
8 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
: 10
83.3%
; 1
 
8.3%
! 1
 
8.3%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
] 4
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
｜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
41.8%
Latin 200
35.1%
Hangul 131
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 5
 
3.8%
인 4
 
3.1%
해 3
 
2.3%
의 3
 
2.3%
회 3
 
2.3%
우 3
 
2.3%
신 2
 
1.5%
바 2
 
1.5%
마 2
 
1.5%
고 2
 
1.5%
Other values (89) 102
77.9%
Latin
ValueCountFrequency (%)
a 22
 
11.0%
e 19
 
9.5%
n 18
 
9.0%
o 18
 
9.0%
s 12
 
6.0%
S 12
 
6.0%
t 9
 
4.5%
r 8
 
4.0%
m 6
 
3.0%
y 5
 
2.5%
Other values (27) 71
35.5%
Common
ValueCountFrequency (%)
77
32.4%
0 39
16.4%
1 33
13.9%
2 26
 
10.9%
9 11
 
4.6%
: 10
 
4.2%
5 6
 
2.5%
3 6
 
2.5%
6 6
 
2.5%
4 4
 
1.7%
Other values (8) 20
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
76.8%
Hangul 131
 
23.0%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
17.6%
0 39
 
8.9%
1 33
 
7.6%
2 26
 
5.9%
a 22
 
5.0%
e 19
 
4.3%
n 18
 
4.1%
o 18
 
4.1%
s 12
 
2.7%
S 12
 
2.7%
Other values (44) 161
36.8%
Hangul
ValueCountFrequency (%)
스 5
 
3.8%
인 4
 
3.1%
해 3
 
2.3%
의 3
 
2.3%
회 3
 
2.3%
우 3
 
2.3%
신 2
 
1.5%
바 2
 
1.5%
마 2
 
1.5%
고 2
 
1.5%
Other values (89) 102
77.9%
None
ValueCountFrequency (%)
｜ 1
100.0%

재생목록설명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재생목록아이콘
Text

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:16:54.845626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length47.206897
Min length46

Characters and Unicode

Total characters1369
Distinct characters64
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 (%)82.8%

Sample

1st rowhttps://i.ytimg.com/vi/53EtLdFGPxA/default.jpg
2nd rowhttp://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4R.jpg
3rd rowhttps://i.ytimg.com/vi/L24UTFqivHE/default.jpg
4th rowhttps://i.ytimg.com/vi/X3PD3x6RpxU/default.jpg
5th rowhttps://i.ytimg.com/vi/sX8VMcOFBEQ/default.jpg
ValueCountFrequency (%)
http://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4r.jpg 5
 
17.2%
https://i.ytimg.com/vi/53etldfgpxa/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/fniynkiwmp4/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/3dqwdwlb1pk/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/tbknee1uadw/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/c0litcmx9m0/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/io_il0nbziq/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/lqpvtq-u_mk/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/x-ss-hszqzy/default.jpg 1
 
3.4%
https://i.ytimg.com/vi/n0ahcmtbdis/default.jpg 1
 
3.4%
Other values (15) 15
51.7%
2023-12-10T23:16:55.265711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 145
 
10.6%
t 131
 
9.6%
i 96
 
7.0%
. 87
 
6.4%
m 71
 
5.2%
g 67
 
4.9%
p 61
 
4.5%
l 41
 
3.0%
y 39
 
2.8%
o 39
 
2.8%
Other values (54) 592
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 915
66.8%
Other Punctuation 261
 
19.1%
Uppercase Letter 115
 
8.4%
Decimal Number 54
 
3.9%
Dash Punctuation 13
 
0.9%
Connector Punctuation 11
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 131
14.3%
i 96
 
10.5%
m 71
 
7.8%
g 67
 
7.3%
p 61
 
6.7%
l 41
 
4.5%
y 39
 
4.3%
o 39
 
4.3%
s 38
 
4.2%
h 37
 
4.0%
Other values (15) 295
32.2%
Uppercase Letter
ValueCountFrequency (%)
M 9
 
7.8%
P 8
 
7.0%
R 7
 
6.1%
E 7
 
6.1%
U 7
 
6.1%
Q 7
 
6.1%
H 5
 
4.3%
T 5
 
4.3%
X 5
 
4.3%
I 5
 
4.3%
Other values (15) 50
43.5%
Decimal Number
ValueCountFrequency (%)
4 17
31.5%
3 12
22.2%
0 7
13.0%
1 4
 
7.4%
6 4
 
7.4%
8 4
 
7.4%
9 3
 
5.6%
5 2
 
3.7%
2 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 145
55.6%
. 87
33.3%
: 29
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1030
75.2%
Common 339
 
24.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 131
 
12.7%
i 96
 
9.3%
m 71
 
6.9%
g 67
 
6.5%
p 61
 
5.9%
l 41
 
4.0%
y 39
 
3.8%
o 39
 
3.8%
s 38
 
3.7%
h 37
 
3.6%
Other values (40) 410
39.8%
Common
ValueCountFrequency (%)
/ 145
42.8%
. 87
25.7%
: 29
 
8.6%
4 17
 
5.0%
- 13
 
3.8%
3 12
 
3.5%
_ 11
 
3.2%
0 7
 
2.1%
1 4
 
1.2%
6 4
 
1.2%
Other values (4) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 145
 
10.6%
t 131
 
9.6%
i 96
 
7.0%
. 87
 
6.4%
m 71
 
5.2%
g 67
 
4.9%
p 61
 
4.5%
l 41
 
3.0%
y 39
 
2.8%
o 39
 
2.8%
Other values (54) 592
43.2%

영상목록
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.034483
Minimum0
Maximum240
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T23:16:55.409912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q314
95-th percentile114.2
Maximum240
Range240
Interquartile range (IQR)12

Descriptive statistics

Standard deviation50.283115
Coefficient of variation (CV)2.2820193
Kurtosis13.40988
Mean22.034483
Median Absolute Deviation (MAD)5
Skewness3.5661601
Sum639
Variance2528.3916
MonotonicityNot monotonic
2023-12-10T23:16:55.549586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5
17.2%
6 3
 
10.3%
17 2
 
6.9%
5 2
 
6.9%
3 2
 
6.9%
1 2
 
6.9%
9 2
 
6.9%
21 1
 
3.4%
131 1
 
3.4%
12 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0 5
17.2%
1 2
 
6.9%
2 1
 
3.4%
3 2
 
6.9%
5 2
 
6.9%
6 3
10.3%
7 1
 
3.4%
8 1
 
3.4%
9 2
 
6.9%
11 1
 
3.4%
ValueCountFrequency (%)
240 1
3.4%
131 1
3.4%
89 1
3.4%
21 1
3.4%
17 2
6.9%
16 1
3.4%
14 1
3.4%
12 1
3.4%
11 1
3.4%
9 2
6.9%

Interactions

2023-12-10T23:16:51.263007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:16:55.641685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재생목록ID재생목록채널ID재생목록업로드일자재생목록명재생목록아이콘영상목록
재생목록ID1.0001.0001.0001.0001.0001.000
재생목록채널ID1.0001.0000.8991.0000.9651.000
재생목록업로드일자1.0000.8991.0001.0000.9700.000
재생목록명1.0001.0001.0001.0001.0001.000
재생목록아이콘1.0000.9650.9701.0001.0001.000
영상목록1.0001.0000.0001.0001.0001.000

Missing values

2023-12-10T23:16:51.481066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:16:51.704924image/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.

Sample

재생목록ID재생목록채널ID재생목록수집일자재생목록업로드일자재생목록명재생목록설명재생목록아이콘영상목록
0PLBDAF5B76300D4E34UCiBr0bK06imaMbLc8sAEz0A2021-01-012012-01-07우리 결혼했어요 We got Married 20111217<NA>https://i.ytimg.com/vi/53EtLdFGPxA/default.jpg17
1PLKGrX96Q1q7rXzx5AQv54aK3TyPkd2YOWUC7lb15P-Hux7A5gBuhCxtuQ2021-01-012019-02-01애정만만세: Season 14<NA>http://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4R.jpg0
2PLD79BFA32AC477A2CUCiBr0bK06imaMbLc8sAEz0A2021-01-012012-06-13라디오스타 The Radio Star 20120523<NA>https://i.ytimg.com/vi/L24UTFqivHE/default.jpg8
3PLAE131EBAA293AE1EUCG5bAssl2H0wjLG4BEv5ScQ2021-01-012012-04-01내 인생의 황금기 EP41 All About My Family<NA>https://i.ytimg.com/vi/X3PD3x6RpxU/default.jpg9
4PLIJQhc-sjjYL1MxbJohxVywjI1npb4078UCygs-_iDpCJOnhuCZibK7JQ2021-01-012020-10-05스팸인간<NA>https://i.ytimg.com/vi/sX8VMcOFBEQ/default.jpg11
5PL-LHnMMtMtkDTZgUl8hPtIZmhNvCXaXTmUCZFcNlpKXzs2b5ROtjLnB9A2021-01-012019-02-02영자신문읽기: Season 2015<NA>https://i.ytimg.com/vi/aMIxaSYtaCo/default.jpg131
6PLKGrX96Q1q7o9cT_PmPPFiQQHmGP6MUegUC7lb15P-Hux7A5gBuhCxtuQ2021-01-012019-01-31무신: Season 7<NA>http://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4R.jpg0
7PLWDz_A_ER637fn_-dhPCQJk2nZI1bkKNwUCe52oeb7Xv_KaJsEzcKXJJg2021-01-012019-01-28음악중심: Season 319<NA>https://i.ytimg.com/vi/PwywMCPWyio/default.jpg21
8PLWDz_A_ER634_4-CFYnOPxNIpfG-ycv3XUCe52oeb7Xv_KaJsEzcKXJJg2021-01-012019-09-16[EVERGLOW - 에버글로우] IDOL RADIO - 아이돌라디오 20190911<NA>https://i.ytimg.com/vi/Sv494z3lboM/default.jpg5
9PL5qRfk4DowRB1GzJnwqaHR-AWNKkTnVQRUCFL1sCAksD6_7JIZwwHcwjQ2021-01-012018-10-2920181029 냉장고를 부탁해 201회<NA>https://i.ytimg.com/vi/_MPOzbvGly0/default.jpg12
재생목록ID재생목록채널ID재생목록수집일자재생목록업로드일자재생목록명재생목록설명재생목록아이콘영상목록
19PLV-D3mzTsEX7LfEeRP6nbgiiGqfAHXKYWUCvODth0IA4cBGaxvDYupiQg2021-01-012019-01-10쿠키<NA>https://i.ytimg.com/vi/X-sS-HszqZY/default.jpg6
20PL5qRfk4DowRD1vZDd3F8d4xbeqKuAZZFgUCFL1sCAksD6_7JIZwwHcwjQ2021-01-012016-05-2720160527 힙합의 민족 10회<NA>https://i.ytimg.com/vi/LQPVTq-U_Mk/default.jpg16
21PLtqYizcPqxZSoO1T-2UMNnQ7Gk3VbbehsUCiBr0bK06imaMbLc8sAEz0A2021-01-012019-02-08해피타임: Season 193<NA>http://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4R.jpg0
22PL3B7A747081F8442DUC4LW3sOslC14Vn5bcoNUBkg2021-01-012012-06-22Trace 60min 20100106<NA>https://i.ytimg.com/vi/io_il0NBziQ/default.jpg14
23PLpuzWnAKjQgBq3WuWdqQ4zKvGM9BFAm4SUCl_tB4AqPkkxuYcJQHz6dMw2021-01-012019-02-01함께배우는 한국 수화: Season 2009<NA>https://i.ytimg.com/vi/C0lItcMX9M0/default.jpg240
24PLC083CE841E7218DBUChpjIaEgwtDZtmWEkzFulSA2021-01-012012-06-18Pretty Mom; Pretty Woman 20100505<NA>https://i.ytimg.com/vi/TbKNEe1uADw/default.jpg3
25PLOBbhydezQbdMfoSN4FOQyWA5FXVnvdH7UCG5bAssl2H0wjLG4BEv5ScQ2021-01-012019-01-31엄마의 바다: Season 21<NA>https://i.ytimg.com/vi/3dQwdWlb1Pk/default.jpg7
26PLjEfM9iTt3gyO2cLju7Z-9a2GHkW838xWUCHlSeJxRIXZWMARC2oMwmcQ2021-01-012019-02-02과학카페: Season 31<NA>http://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4R.jpg0
27PLOBbhydezQbfUl7Emq_KzoBXygXV4v-iFUCG5bAssl2H0wjLG4BEv5ScQ2021-01-012019-01-31논스톱4: Season 224<NA>http://s.ytimg.com/yts/img/no_thumbnail-vfl4t3-4R.jpg0
28PLjAzy8GOYg2m8f9JHxfqh5IkYsWqRQODEUCqMixH4Cc7CdySihHG4kkIA2021-01-012016-08-04abzu 해저탐험게임<NA>https://i.ytimg.com/vi/CtX1Hu6_wnE/default.jpg2