Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells30
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory61.4 B

Variable types

Text5
Categorical1
Unsupported1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/90e9ab21-36d5-4698-9069-2fb919e3caa0

Alerts

덧글수집일자 has constant value ""Constant
덧글영상경로명 has 30 (100.0%) missing valuesMissing
작성자 has unique valuesUnique
별명 has unique valuesUnique
프로필URL has unique valuesUnique
채널명 has unique valuesUnique
작성자평가 has unique valuesUnique
덧글영상경로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 14:21:52.602765
Analysis finished2023-12-10 14:21:53.182791
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작성자
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:53.345359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length22.6
Min length20

Characters and Unicode

Total characters678
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowUgg-1XEQYp5CTHgCoAEC
2nd rowUgg--qLbSbNnbngCoAEC
3rd rowUgx3GrvMwjnoeYvzQmN4AaABAg
4th rowUgg-DCvE9hCQUXgCoAEC
5th rowUgg-5sqAYqPnWngCoAEC
ValueCountFrequency (%)
ugg-1xeqyp5cthgcoaec 1
 
3.3%
ugg--qlbsbnnbngcoaec 1
 
3.3%
ugg-m7dmkbezexgcoaec 1
 
3.3%
ugx3iczkqnvhzfuvgr54aaabag 1
 
3.3%
ugg-iqofsn2xzngcoaec 1
 
3.3%
ugg-klk0nii8zxgcoaec 1
 
3.3%
ugx3i4wifkyvaxcdccx4aaabag 1
 
3.3%
ugg-aehdde2ofhgcoaec 1
 
3.3%
ugx3i-uzyqd6rdlbxht4aaabag 1
 
3.3%
ugg-wi-mkkr_ahgcoaec 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:53.821688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 86
 
12.7%
A 67
 
9.9%
C 40
 
5.9%
U 36
 
5.3%
E 26
 
3.8%
- 24
 
3.5%
3 22
 
3.2%
o 21
 
3.1%
a 19
 
2.8%
x 19
 
2.8%
Other values (54) 318
46.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 311
45.9%
Lowercase Letter 275
40.6%
Decimal Number 66
 
9.7%
Dash Punctuation 24
 
3.5%
Connector Punctuation 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 86
31.3%
o 21
 
7.6%
a 19
 
6.9%
x 19
 
6.9%
n 10
 
3.6%
b 9
 
3.3%
v 8
 
2.9%
z 8
 
2.9%
d 8
 
2.9%
u 7
 
2.5%
Other values (16) 80
29.1%
Uppercase Letter
ValueCountFrequency (%)
A 67
21.5%
C 40
12.9%
U 36
11.6%
E 26
 
8.4%
B 15
 
4.8%
H 14
 
4.5%
X 12
 
3.9%
N 8
 
2.6%
M 8
 
2.6%
Z 7
 
2.3%
Other values (16) 78
25.1%
Decimal Number
ValueCountFrequency (%)
3 22
33.3%
4 16
24.2%
5 8
 
12.1%
9 5
 
7.6%
7 3
 
4.5%
2 3
 
4.5%
8 3
 
4.5%
1 2
 
3.0%
0 2
 
3.0%
6 2
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 586
86.4%
Common 92
 
13.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 86
 
14.7%
A 67
 
11.4%
C 40
 
6.8%
U 36
 
6.1%
E 26
 
4.4%
o 21
 
3.6%
a 19
 
3.2%
x 19
 
3.2%
B 15
 
2.6%
H 14
 
2.4%
Other values (42) 243
41.5%
Common
ValueCountFrequency (%)
- 24
26.1%
3 22
23.9%
4 16
17.4%
5 8
 
8.7%
9 5
 
5.4%
7 3
 
3.3%
2 3
 
3.3%
8 3
 
3.3%
_ 2
 
2.2%
1 2
 
2.2%
Other values (2) 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 86
 
12.7%
A 67
 
9.9%
C 40
 
5.9%
U 36
 
5.3%
E 26
 
3.8%
- 24
 
3.5%
3 22
 
3.2%
o 21
 
3.1%
a 19
 
2.8%
x 19
 
2.8%
Other values (54) 318
46.9%

덧글수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-09-01
30 

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 30
100.0%

Length

2023-12-10T23:21:54.306239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:54.425423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 30
100.0%

별명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:54.644419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.2666667
Min length2

Characters and Unicode

Total characters158
Distinct characters96
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row인천16-1번이
2nd rowITX
3rd row김지희
4th row정보옥
5th row남정윤
ValueCountFrequency (%)
인천16-1번이 1
 
2.6%
늘근호박 1
 
2.6%
개돼지탈출프로젝트 1
 
2.6%
elias 1
 
2.6%
walker 1
 
2.6%
박서준 1
 
2.6%
wls 1
 
2.6%
tlf 1
 
2.6%
hdread4 1
 
2.6%
깡상 1
 
2.6%
Other values (29) 29
74.4%
2023-12-10T23:21:55.059052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
5.7%
e 8
 
5.1%
a 6
 
3.8%
o 5
 
3.2%
r 4
 
2.5%
l 4
 
2.5%
4
 
2.5%
3
 
1.9%
U 3
 
1.9%
3
 
1.9%
Other values (86) 109
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
50.0%
Lowercase Letter 48
30.4%
Uppercase Letter 16
 
10.1%
Space Separator 9
 
5.7%
Decimal Number 4
 
2.5%
Other Punctuation 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
5.1%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (51) 54
68.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
16.7%
a 6
12.5%
o 5
10.4%
r 4
 
8.3%
l 4
 
8.3%
t 2
 
4.2%
p 2
 
4.2%
d 2
 
4.2%
f 2
 
4.2%
n 2
 
4.2%
Other values (8) 11
22.9%
Uppercase Letter
ValueCountFrequency (%)
U 3
18.8%
I 3
18.8%
H 2
12.5%
G 1
 
6.2%
O 1
 
6.2%
Y 1
 
6.2%
X 1
 
6.2%
T 1
 
6.2%
S 1
 
6.2%
K 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
6 1
25.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
48.7%
Latin 64
40.5%
Common 15
 
9.5%
Han 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (49) 52
67.5%
Latin
ValueCountFrequency (%)
e 8
 
12.5%
a 6
 
9.4%
o 5
 
7.8%
r 4
 
6.2%
l 4
 
6.2%
U 3
 
4.7%
I 3
 
4.7%
t 2
 
3.1%
p 2
 
3.1%
d 2
 
3.1%
Other values (19) 25
39.1%
Common
ValueCountFrequency (%)
9
60.0%
1 2
 
13.3%
4 1
 
6.7%
# 1
 
6.7%
- 1
 
6.7%
6 1
 
6.7%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
50.0%
Hangul 77
48.7%
CJK 2
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
 
11.4%
e 8
 
10.1%
a 6
 
7.6%
o 5
 
6.3%
r 4
 
5.1%
l 4
 
5.1%
U 3
 
3.8%
I 3
 
3.8%
t 2
 
2.5%
p 2
 
2.5%
Other values (25) 33
41.8%
Hangul
ValueCountFrequency (%)
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (49) 52
67.5%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

프로필URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:55.419137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length120
Mean length97.266667
Min length92

Characters and Unicode

Total characters2918
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AKedOLSAwab44IHIuABzi7fG-EUUI3j_57fVoY7spfEN8A=s48-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AKedOLQB6k1UOJpyNH-y8RdqjrjpuMosRrQ4hzFsSX2usg=s48-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AKedOLTg0kwDgp0jG--JtfkgaJ-cVXlOj1ILB5sD3tRSCMk=s48-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AKedOLSmngOsQegwewVBOh84W1d8qmzGNIiZHItwOdIC=s48-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AKedOLSJh_G0dBVQITxByb3yr6UQkVWkED860gJBPQ=s48-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/akedolsawab44ihiuabzi7fg-euui3j_57fvoy7spfen8a=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolqb6k1uojpynh-y8rdqjrjpumosrrq4hzfssx2usg=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolrv0yzkhlwykja6ersijiwb2spe99j0pi3mcmx-za=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/qkukxnkhedtlnfqqfgl-ilzda9n_b_4lo7jgqlrspogd-ppsohdfrrol9723pqjqoyy76eas=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolsf5c72pv7wkgjfco6_wsa7zbelg7mlxas1gplwbg=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolqkqt4yiapies32k0i-m7hebpnengig0qbipa=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolso09icsffvrhkf2suixfqlqsc8fdcbomao=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolqwo-qztme6hcmvwjm-ufwhcwhqalr8jnjqqw=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolsrptsxajnnvvuwdpsncf-rpihwizuw6t8_aw=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedoltcrps8u4gud5nr8nefgspqnwmdj2pbzoyipzrp=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:55.920111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 204
 
7.0%
- 177
 
6.1%
t 161
 
5.5%
c 130
 
4.5%
/ 118
 
4.0%
0 112
 
3.8%
s 86
 
2.9%
h 83
 
2.8%
p 82
 
2.8%
g 82
 
2.8%
Other values (58) 1683
57.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1511
51.8%
Uppercase Letter 612
21.0%
Decimal Number 363
 
12.4%
Other Punctuation 208
 
7.1%
Dash Punctuation 177
 
6.1%
Math Symbol 30
 
1.0%
Connector Punctuation 17
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 204
13.5%
t 161
 
10.7%
c 130
 
8.6%
s 86
 
5.7%
h 83
 
5.5%
p 82
 
5.4%
g 82
 
5.4%
y 81
 
5.4%
o 75
 
5.0%
d 51
 
3.4%
Other values (16) 476
31.5%
Uppercase Letter
ValueCountFrequency (%)
A 47
 
7.7%
L 45
 
7.4%
O 43
 
7.0%
K 42
 
6.9%
Q 40
 
6.5%
R 29
 
4.7%
B 25
 
4.1%
I 25
 
4.1%
S 25
 
4.1%
C 23
 
3.8%
Other values (16) 268
43.8%
Decimal Number
ValueCountFrequency (%)
0 112
30.9%
3 53
14.6%
8 52
14.3%
4 49
13.5%
9 20
 
5.5%
2 19
 
5.2%
6 17
 
4.7%
7 16
 
4.4%
5 14
 
3.9%
1 11
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 118
56.7%
. 60
28.8%
: 30
 
14.4%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2123
72.8%
Common 795
 
27.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 204
 
9.6%
t 161
 
7.6%
c 130
 
6.1%
s 86
 
4.1%
h 83
 
3.9%
p 82
 
3.9%
g 82
 
3.9%
y 81
 
3.8%
o 75
 
3.5%
d 51
 
2.4%
Other values (42) 1088
51.2%
Common
ValueCountFrequency (%)
- 177
22.3%
/ 118
14.8%
0 112
14.1%
. 60
 
7.5%
3 53
 
6.7%
8 52
 
6.5%
4 49
 
6.2%
: 30
 
3.8%
= 30
 
3.8%
9 20
 
2.5%
Other values (6) 94
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 204
 
7.0%
- 177
 
6.1%
t 161
 
5.5%
c 130
 
4.5%
/ 118
 
4.0%
0 112
 
3.8%
s 86
 
2.9%
h 83
 
2.8%
p 82
 
2.8%
g 82
 
2.8%
Other values (58) 1683
57.7%

채널명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:56.208953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1680
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UC_vKUU3wXAloxRAypjgmw8g
2nd rowhttps://www.youtube.com/channel/UC8A3zT3ra56reDX-XI0trYw
3rd rowhttps://www.youtube.com/channel/UCWVAhEoSb-hWliDqxHm5ZQg
4th rowhttps://www.youtube.com/channel/UCNfrH8R1MQ1avctU5BzUDHw
5th rowhttps://www.youtube.com/channel/UCF2HDYxwOKK3zJGa1RU5fPQ
ValueCountFrequency (%)
https://www.youtube.com/channel/uc_vkuu3wxaloxraypjgmw8g 1
 
3.3%
https://www.youtube.com/channel/uc8a3zt3ra56redx-xi0tryw 1
 
3.3%
https://www.youtube.com/channel/ucypgpdp974z2zrlldhfe9tg 1
 
3.3%
https://www.youtube.com/channel/ucgjfeju49bicciuvlcdx-7a 1
 
3.3%
https://www.youtube.com/channel/ucm7vcxygo38p_jbomjnxhoq 1
 
3.3%
https://www.youtube.com/channel/uckcnmkcowuzth4xmg3vathg 1
 
3.3%
https://www.youtube.com/channel/ucgaupnnhi-xuvfeisopozda 1
 
3.3%
https://www.youtube.com/channel/uc5dis4u5-pcry-fj01vls_g 1
 
3.3%
https://www.youtube.com/channel/ucla7nlqzarxxksqgj6kc_aq 1
 
3.3%
https://www.youtube.com/channel/ucczfrzzppix-ba59y7hbnww 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:56.706284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 110
 
6.5%
t 101
 
6.0%
h 73
 
4.3%
c 71
 
4.2%
e 68
 
4.0%
o 67
 
4.0%
u 67
 
4.0%
n 66
 
3.9%
. 60
 
3.6%
Other values (57) 877
52.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1032
61.4%
Uppercase Letter 318
 
18.9%
Other Punctuation 210
 
12.5%
Decimal Number 93
 
5.5%
Dash Punctuation 15
 
0.9%
Connector Punctuation 12
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 110
 
10.7%
t 101
 
9.8%
h 73
 
7.1%
c 71
 
6.9%
e 68
 
6.6%
o 67
 
6.5%
u 67
 
6.5%
n 66
 
6.4%
p 42
 
4.1%
y 41
 
4.0%
Other values (16) 326
31.6%
Uppercase Letter
ValueCountFrequency (%)
U 45
 
14.2%
C 36
 
11.3%
A 18
 
5.7%
D 14
 
4.4%
Q 14
 
4.4%
R 13
 
4.1%
H 12
 
3.8%
O 12
 
3.8%
B 11
 
3.5%
T 11
 
3.5%
Other values (16) 132
41.5%
Decimal Number
ValueCountFrequency (%)
7 15
16.1%
3 14
15.1%
6 10
10.8%
9 9
9.7%
5 9
9.7%
1 9
9.7%
8 9
9.7%
2 6
 
6.5%
0 6
 
6.5%
4 6
 
6.5%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1350
80.4%
Common 330
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 110
 
8.1%
t 101
 
7.5%
h 73
 
5.4%
c 71
 
5.3%
e 68
 
5.0%
o 67
 
5.0%
u 67
 
5.0%
n 66
 
4.9%
U 45
 
3.3%
p 42
 
3.1%
Other values (42) 640
47.4%
Common
ValueCountFrequency (%)
/ 120
36.4%
. 60
18.2%
: 30
 
9.1%
7 15
 
4.5%
- 15
 
4.5%
3 14
 
4.2%
_ 12
 
3.6%
6 10
 
3.0%
9 9
 
2.7%
5 9
 
2.7%
Other values (5) 36
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 110
 
6.5%
t 101
 
6.0%
h 73
 
4.3%
c 71
 
4.2%
e 68
 
4.0%
o 67
 
4.0%
u 67
 
4.0%
n 66
 
3.9%
. 60
 
3.6%
Other values (57) 877
52.2%

작성자평가
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:57.025012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length43
Mean length43
Min length43

Characters and Unicode

Total characters1290
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/watch?v=RQhNYdziQWw
2nd rowhttps://www.youtube.com/watch?v=EkdAZewb6q8
3rd rowhttps://www.youtube.com/watch?v=xxxDdAbT8HA
4th rowhttps://www.youtube.com/watch?v=MIfO7NCszvE
5th rowhttps://www.youtube.com/watch?v=3FOyo-o8p60
ValueCountFrequency (%)
https://www.youtube.com/watch?v=rqhnydziqww 1
 
3.3%
https://www.youtube.com/watch?v=ekdazewb6q8 1
 
3.3%
https://www.youtube.com/watch?v=nklrgtzqsxs 1
 
3.3%
https://www.youtube.com/watch?v=wfyrjc7y_pi 1
 
3.3%
https://www.youtube.com/watch?v=3hj9j911qok 1
 
3.3%
https://www.youtube.com/watch?v=3wxkdnlvnwc 1
 
3.3%
https://www.youtube.com/watch?v=gchuxexbf9k 1
 
3.3%
https://www.youtube.com/watch?v=_zxkeqwfnh4 1
 
3.3%
https://www.youtube.com/watch?v=4comocomhkm 1
 
3.3%
https://www.youtube.com/watch?v=zu_rippd1g8 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:57.454558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 129
 
10.0%
t 123
 
9.5%
/ 90
 
7.0%
o 69
 
5.3%
c 67
 
5.2%
u 65
 
5.0%
h 64
 
5.0%
. 60
 
4.7%
s 41
 
3.2%
b 36
 
2.8%
Other values (58) 546
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 868
67.3%
Other Punctuation 210
 
16.3%
Uppercase Letter 136
 
10.5%
Decimal Number 38
 
2.9%
Math Symbol 30
 
2.3%
Dash Punctuation 4
 
0.3%
Connector Punctuation 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 129
14.9%
t 123
14.2%
o 69
 
7.9%
c 67
 
7.7%
u 65
 
7.5%
h 64
 
7.4%
s 41
 
4.7%
b 36
 
4.1%
p 36
 
4.1%
y 35
 
4.0%
Other values (16) 203
23.4%
Uppercase Letter
ValueCountFrequency (%)
O 8
 
5.9%
X 8
 
5.9%
E 8
 
5.9%
Q 7
 
5.1%
I 7
 
5.1%
R 7
 
5.1%
G 7
 
5.1%
A 6
 
4.4%
W 6
 
4.4%
M 6
 
4.4%
Other values (16) 66
48.5%
Decimal Number
ValueCountFrequency (%)
8 7
18.4%
9 7
18.4%
3 5
13.2%
7 5
13.2%
4 4
10.5%
6 3
7.9%
0 3
7.9%
1 3
7.9%
5 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
: 30
 
14.3%
? 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1004
77.8%
Common 286
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 129
 
12.8%
t 123
 
12.3%
o 69
 
6.9%
c 67
 
6.7%
u 65
 
6.5%
h 64
 
6.4%
s 41
 
4.1%
b 36
 
3.6%
p 36
 
3.6%
y 35
 
3.5%
Other values (42) 339
33.8%
Common
ValueCountFrequency (%)
/ 90
31.5%
. 60
21.0%
: 30
 
10.5%
? 30
 
10.5%
= 30
 
10.5%
8 7
 
2.4%
9 7
 
2.4%
3 5
 
1.7%
7 5
 
1.7%
- 4
 
1.4%
Other values (6) 18
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 129
 
10.0%
t 123
 
9.5%
/ 90
 
7.0%
o 69
 
5.3%
c 67
 
5.2%
u 65
 
5.0%
h 64
 
5.0%
. 60
 
4.7%
s 41
 
3.2%
b 36
 
2.8%
Other values (58) 546
42.3%

덧글영상경로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Correlations

2023-12-10T23:21:57.583977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성자별명프로필URL채널명작성자평가
작성자1.0001.0001.0001.0001.000
별명1.0001.0001.0001.0001.000
프로필URL1.0001.0001.0001.0001.000
채널명1.0001.0001.0001.0001.000
작성자평가1.0001.0001.0001.0001.000

Missing values

2023-12-10T23:21:53.014831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:21:53.128824image/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

작성자덧글수집일자별명프로필URL채널명작성자평가덧글영상경로명
0Ugg-1XEQYp5CTHgCoAEC2021-09-01인천16-1번이https://yt3.ggpht.com/ytc/AKedOLSAwab44IHIuABzi7fG-EUUI3j_57fVoY7spfEN8A=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UC_vKUU3wXAloxRAypjgmw8ghttps://www.youtube.com/watch?v=RQhNYdziQWw<NA>
1Ugg--qLbSbNnbngCoAEC2021-09-01ITXhttps://yt3.ggpht.com/ytc/AKedOLQB6k1UOJpyNH-y8RdqjrjpuMosRrQ4hzFsSX2usg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UC8A3zT3ra56reDX-XI0trYwhttps://www.youtube.com/watch?v=EkdAZewb6q8<NA>
2Ugx3GrvMwjnoeYvzQmN4AaABAg2021-09-01김지희https://yt3.ggpht.com/ytc/AKedOLTg0kwDgp0jG--JtfkgaJ-cVXlOj1ILB5sD3tRSCMk=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCWVAhEoSb-hWliDqxHm5ZQghttps://www.youtube.com/watch?v=xxxDdAbT8HA<NA>
3Ugg-DCvE9hCQUXgCoAEC2021-09-01정보옥https://yt3.ggpht.com/ytc/AKedOLSmngOsQegwewVBOh84W1d8qmzGNIiZHItwOdIC=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCNfrH8R1MQ1avctU5BzUDHwhttps://www.youtube.com/watch?v=MIfO7NCszvE<NA>
4Ugg-5sqAYqPnWngCoAEC2021-09-01남정윤https://yt3.ggpht.com/ytc/AKedOLSJh_G0dBVQITxByb3yr6UQkVWkED860gJBPQ=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCF2HDYxwOKK3zJGa1RU5fPQhttps://www.youtube.com/watch?v=3FOyo-o8p60<NA>
5Ugx3GuzNu-FfQ4Wx3wV4AaABAg2021-09-01IU #I YOUhttps://yt3.ggpht.com/ytc/AKedOLR_X-_mlnYphJ56OhtBSDkVRYltJd5QdylWI2CP=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCKvn0rRE3ITSP_r3ereldYAhttps://www.youtube.com/watch?v=ODAVpOGTwgs<NA>
6Ugg-HgloxTwH_3gCoAEC2021-09-01U GHhttps://yt3.ggpht.com/ytc/AKedOLQBwZSw1LaduRhN9Z_gGSHGhFmprzNv-HRMiCDm8w=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCSmn2hOMVhowtJ8h8Jrc6Lghttps://www.youtube.com/watch?v=lELatjoqSL8<NA>
7Ugx3GvZRQbpbZFTjbmZ4AaABAg2021-09-01앗싸라비야https://yt3.ggpht.com/ytc/AKedOLTYkv1yLF9TpiC0nyEobi6V-EOWPn3nyZ9vHA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCxBw59ohlP9bHLzBtEy7h-Qhttps://www.youtube.com/watch?v=Ra-Q7CxXjyw<NA>
8Ugg-Hrqb1n5A83gCoAEC2021-09-01이준서https://yt3.ggpht.com/ytc/AKedOLQ2uU6400tsAIJfB-9uIhc4SRnfd8GZz3ejPg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCptROCDBMKfgTknV-LAxspwhttps://www.youtube.com/watch?v=JHoKp3JQrTs<NA>
9Ugx3GvdA8wpOtgKmWYZ4AaABAg2021-09-01김시은https://yt3.ggpht.com/ytc/AKedOLT8W3rXQC3-LJybviqFhR9RhjjBzWy_zqUFmcy6=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCdCNfR1x_BBcius7S_tla7Ahttps://www.youtube.com/watch?v=RFPacbxJidA<NA>
작성자덧글수집일자별명프로필URL채널명작성자평가덧글영상경로명
20Ugx3Hztk5g3uKJA-Aup4AaABAg2021-09-01hdread4https://yt3.ggpht.com/ytc/AKedOLRlLDo0d9yM0zZc5YzpvSBdhKdQ7RfvASbBZQ=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCFYj6_sd-UlE81q0-QgbnOQhttps://www.youtube.com/watch?v=ru9RW9VxQEI<NA>
21Ugg-WI-mkKR_AHgCoAEC2021-09-01늘근호박https://yt3.ggpht.com/ytc/AKedOLTCRps8U4gud5nR8nefGsPQnWmDj2pbZoYiPZRP=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCczFrzZPPix-Ba59y7HbNWwhttps://www.youtube.com/watch?v=zU_riPPd1G8<NA>
22Ugx3I-UZYQD6RdlbXHt4AaABAg2021-09-01깡상https://yt3.ggpht.com/ytc/AKedOLSrpTSXAJNnvVuwdpsNCf-rpihWIzuw6T8_aw=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCLA7NLqZARXxksqgj6Kc_AQhttps://www.youtube.com/watch?v=4comOCoMHkM<NA>
23Ugg-aeHdDE2OFHgCoAEC2021-09-01권영광https://yt3.ggpht.com/ytc/AKedOLQWo-QztMe6hCmvwJM-UfwhCwHQaLR8JNjQQw=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UC5DiS4U5-pcry-fj01vLs_ghttps://www.youtube.com/watch?v=_ZXkeqWFNH4<NA>
24Ugx3I4wIfKYVAxcdcCx4AaABAg2021-09-01이종수https://yt3.ggpht.com/ytc/AKedOLSo09ICsFFVRHkf2suIxFqLQsC8fdcBoMao=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCGaUPnnHi-xuVFEiSOpOzDAhttps://www.youtube.com/watch?v=GcHUXEXBF9k<NA>
25Ugg-kLk0NiI8ZXgCoAEC2021-09-01양해운https://yt3.ggpht.com/ytc/AKedOLQKqT4YIaPies32K0I-M7hEBpnENGiG0qbipA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCKCNmkCOwuzth4xmg3vathghttps://www.youtube.com/watch?v=3WxkdnLvnwc<NA>
26Ugg-iqOFsn2XZngCoAEC2021-09-01惡魔https://yt3.ggpht.com/ytc/AKedOLSf5C72pV7wkgjFcO6_WsA7ZbElg7MLXAS1GPlwbg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCM7vCXYgO38P_jboMJNxHOQhttps://www.youtube.com/watch?v=3hJ9j911qOk<NA>
27Ugx3ICzkQNVhzfUvgR54AaABAg2021-09-01김유빈https://yt3.ggpht.com/QkUKxnkhEdTlNfqQFgL-iLZdA9N_b_4Lo7JGQLRsPogD-pPSOhDfrRoL9723pQJQOyY76EaS=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCgJfejU49BIcCIuVlcdX-7Ahttps://www.youtube.com/watch?v=WfyrJC7y_PI<NA>
28Ugg-m7dMkbEzeXgCoAEC2021-09-01peace koreahttps://yt3.ggpht.com/ytc/AKedOLRV0YzkHLWyKJA6erSIjIwB2spE99J0PI3mCMX-ZA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCypgpdP974Z2ZRlLDhfE9Tghttps://www.youtube.com/watch?v=nKlRGtZQsxs<NA>
29Ugx3IEMjWd6cjss5BuJ4AaABAg2021-09-01박동진https://yt3.ggpht.com/ytc/AKedOLQtYCJzwwPrexssfYCnzAdGG9li85KnNrNjfQ=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UChwegD-rFrvruN7BHytRPTAhttps://www.youtube.com/watch?v=ocx6OTbrq9Y<NA>