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
DateTime1
Unsupported1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/b1354963-a520-4975-b669-ec35bc2f4561

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 14:16:26.051277
Analysis finished2023-12-10 14:16:27.047158
Duration1 second
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
2023-12-10T23:16:27.339780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters780
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 rowUgy6elJIiT4KblVhkFR4AaABAg
2nd rowUgy6eZiHTH34Lu7KE5N4AaABAg
3rd rowUgwMkbDpYGR_4f8MoEx4AaABAg
4th rowUgy6etUyyYQ-jdtCQQ54AaABAg
5th rowUgy6elPb33xy0HluanJ4AaABAg
ValueCountFrequency (%)
ugy6eljiit4kblvhkfr4aaabag 1
 
3.3%
ugy6ezihth34lu7ke5n4aaabag 1
 
3.3%
ugy6fcklaicczctptw54aaabag 1
 
3.3%
ugwmmavjriedfhcyu1z4aaabag 1
 
3.3%
ugy6fvq7r76rehrmmlz4aaabag 1
 
3.3%
ugy6facp08otoxqbqp14aaabag 1
 
3.3%
ugwmltggs5ymheoafuv4aaabag 1
 
3.3%
ugy6fr2ykujt2xync4h4aaabag 1
 
3.3%
ugwmlndrfs8aelw4psd4aaabag 1
 
3.3%
ugy6fqqfsb7zmuajgch4aaabag 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:16:28.163268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 100
 
12.8%
g 62
 
7.9%
a 37
 
4.7%
4 36
 
4.6%
B 36
 
4.6%
U 36
 
4.6%
y 22
 
2.8%
6 22
 
2.8%
M 20
 
2.6%
w 19
 
2.4%
Other values (54) 390
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 352
45.1%
Lowercase Letter 315
40.4%
Decimal Number 103
 
13.2%
Dash Punctuation 6
 
0.8%
Connector Punctuation 4
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 100
28.4%
B 36
 
10.2%
U 36
 
10.2%
M 20
 
5.7%
V 14
 
4.0%
Q 13
 
3.7%
E 13
 
3.7%
J 11
 
3.1%
T 10
 
2.8%
R 9
 
2.6%
Other values (16) 90
25.6%
Lowercase Letter
ValueCountFrequency (%)
g 62
19.7%
a 37
 
11.7%
y 22
 
7.0%
w 19
 
6.0%
f 18
 
5.7%
l 18
 
5.7%
h 12
 
3.8%
m 10
 
3.2%
k 10
 
3.2%
t 9
 
2.9%
Other values (16) 98
31.1%
Decimal Number
ValueCountFrequency (%)
4 36
35.0%
6 22
21.4%
5 12
 
11.7%
7 7
 
6.8%
8 6
 
5.8%
9 5
 
4.9%
1 5
 
4.9%
0 4
 
3.9%
3 3
 
2.9%
2 3
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 667
85.5%
Common 113
 
14.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 100
 
15.0%
g 62
 
9.3%
a 37
 
5.5%
B 36
 
5.4%
U 36
 
5.4%
y 22
 
3.3%
M 20
 
3.0%
w 19
 
2.8%
f 18
 
2.7%
l 18
 
2.7%
Other values (42) 299
44.8%
Common
ValueCountFrequency (%)
4 36
31.9%
6 22
19.5%
5 12
 
10.6%
7 7
 
6.2%
- 6
 
5.3%
8 6
 
5.3%
9 5
 
4.4%
1 5
 
4.4%
0 4
 
3.5%
_ 4
 
3.5%
Other values (2) 6
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 100
 
12.8%
g 62
 
7.9%
a 37
 
4.7%
4 36
 
4.6%
B 36
 
4.6%
U 36
 
4.6%
y 22
 
2.8%
6 22
 
2.8%
M 20
 
2.6%
w 19
 
2.4%
Other values (54) 390
50.0%

덧글수집일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2020-12-10 00:00:00
Maximum2020-12-10 00:00:00
2023-12-10T23:16:28.379731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:16:28.642793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

별명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:28.971541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.8
Min length2

Characters and Unicode

Total characters174
Distinct characters76
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row정도환
2nd rowchulbong an
3rd row박재영
4th rowblue
5th rowSteve Kim
ValueCountFrequency (%)
정도환 1
 
2.5%
chulbong 1
 
2.5%
진솔한이야기 1
 
2.5%
js 1
 
2.5%
j 1
 
2.5%
you 1
 
2.5%
수진 1
 
2.5%
rocka 1
 
2.5%
rolla 1
 
2.5%
축구빠돌이 1
 
2.5%
Other values (30) 30
75.0%
2023-12-10T23:16:29.772979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 13
 
7.5%
10
 
5.7%
l 10
 
5.7%
o 9
 
5.2%
u 8
 
4.6%
n 7
 
4.0%
i 5
 
2.9%
t 5
 
2.9%
이 4
 
2.3%
김 4
 
2.3%
Other values (66) 99
56.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 89
51.1%
Other Letter 57
32.8%
Uppercase Letter 17
 
9.8%
Space Separator 10
 
5.7%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
7.0%
김 4
 
7.0%
진 3
 
5.3%
수 3
 
5.3%
소 2
 
3.5%
영 2
 
3.5%
도 2
 
3.5%
울 1
 
1.8%
임 1
 
1.8%
여 1
 
1.8%
Other values (34) 34
59.6%
Lowercase Letter
ValueCountFrequency (%)
e 13
14.6%
l 10
11.2%
o 9
10.1%
u 8
 
9.0%
n 7
 
7.9%
i 5
 
5.6%
t 5
 
5.6%
h 4
 
4.5%
a 4
 
4.5%
y 3
 
3.4%
Other values (10) 21
23.6%
Uppercase Letter
ValueCountFrequency (%)
S 4
23.5%
K 3
17.6%
L 2
11.8%
B 2
11.8%
A 1
 
5.9%
J 1
 
5.9%
U 1
 
5.9%
P 1
 
5.9%
R 1
 
5.9%
C 1
 
5.9%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 106
60.9%
Hangul 57
32.8%
Common 11
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
7.0%
김 4
 
7.0%
진 3
 
5.3%
수 3
 
5.3%
소 2
 
3.5%
영 2
 
3.5%
도 2
 
3.5%
울 1
 
1.8%
임 1
 
1.8%
여 1
 
1.8%
Other values (34) 34
59.6%
Latin
ValueCountFrequency (%)
e 13
 
12.3%
l 10
 
9.4%
o 9
 
8.5%
u 8
 
7.5%
n 7
 
6.6%
i 5
 
4.7%
t 5
 
4.7%
h 4
 
3.8%
a 4
 
3.8%
S 4
 
3.8%
Other values (20) 37
34.9%
Common
ValueCountFrequency (%)
10
90.9%
* 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
67.2%
Hangul 57
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 13
 
11.1%
10
 
8.5%
l 10
 
8.5%
o 9
 
7.7%
u 8
 
6.8%
n 7
 
6.0%
i 5
 
4.3%
t 5
 
4.3%
h 4
 
3.4%
a 4
 
3.4%
Other values (22) 42
35.9%
Hangul
ValueCountFrequency (%)
이 4
 
7.0%
김 4
 
7.0%
진 3
 
5.3%
수 3
 
5.3%
소 2
 
3.5%
영 2
 
3.5%
도 2
 
3.5%
울 1
 
1.8%
임 1
 
1.8%
여 1
 
1.8%
Other values (34) 34
59.6%

프로필URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:30.348503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length97
Mean length98.2
Min length97

Characters and Unicode

Total characters2946
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/AAUvwngJDaNalZS41VLQe23E0PfcXdvV8jA1_Wz34Q=s48-c-k-c0xffffffff-no-rj-mo
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnibO-5PJA3BiI0yRCFZ22WqjYRMtg0uVxcTEw=s48-c-k-c0xffffffff-no-rj-mo
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnjSbOOF_tDYfmb-I__Fez0CvAhHb6fG_ecDN5s9HA=s48-c-k-c0xffffffff-no-rj-mo
4th rowhttps://yt3.ggpht.com/ytc/AAUvwnguF0yai8lAnNINtlbLaC0jGmhCiGGPLYe_KKud3Q=s48-c-k-c0xffffffff-no-rj-mo
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnjooNEpSCGJ5J0SZu2pSvD-zuXlUWo-QeuHvA=s48-c-k-c0xffffffff-no-rj-mo
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwngjdanalzs41vlqe23e0pfcxdvv8ja1_wz34q=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwnibo-5pja3bii0yrcfz22wqjyrmtg0uvxctew=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwnhnynsmgp0iswgu2o8a0z-rm4-glrev5udrqw=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwnhlbxdlsnwdjprehs0dmqjhlbrse-icvzb4va=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwng7vekglkpysxsen4ni4i6mq_joyuoozgvlzhddza=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwnh7lxqfyfvz8cfcdegpriuwkzg0mpymnkeeyev-=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwni3wqmoh9tljvgs90-xilk5xnjl8yka08waopis=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwng87v7lqiqgggawmxc6vbcmsmrbvvfwd04hlve1=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwngiecm_bni1h3eldd5pkwtfmrdu2ubzb3z74w=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/ytc/aauvwnglwtc8mt8zaola7ounpc1glm_e4tidivadcw=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:16:31.227127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 254
 
8.6%
- 200
 
6.8%
t 166
 
5.6%
c 134
 
4.5%
/ 120
 
4.1%
o 108
 
3.7%
g 93
 
3.2%
A 87
 
3.0%
y 81
 
2.7%
h 79
 
2.7%
Other values (58) 1624
55.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1642
55.7%
Uppercase Letter 560
 
19.0%
Decimal Number 284
 
9.6%
Other Punctuation 210
 
7.1%
Dash Punctuation 200
 
6.8%
Math Symbol 30
 
1.0%
Connector Punctuation 20
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 254
15.5%
t 166
 
10.1%
c 134
 
8.2%
o 108
 
6.6%
g 93
 
5.7%
y 81
 
4.9%
h 79
 
4.8%
p 76
 
4.6%
s 76
 
4.6%
m 74
 
4.5%
Other values (16) 501
30.5%
Uppercase Letter
ValueCountFrequency (%)
A 87
 
15.5%
U 43
 
7.7%
C 28
 
5.0%
S 27
 
4.8%
Q 24
 
4.3%
E 21
 
3.8%
I 21
 
3.8%
B 20
 
3.6%
Y 19
 
3.4%
K 19
 
3.4%
Other values (16) 251
44.8%
Decimal Number
ValueCountFrequency (%)
0 56
19.7%
4 50
17.6%
8 50
17.6%
3 47
16.5%
5 19
 
6.7%
2 15
 
5.3%
7 14
 
4.9%
1 13
 
4.6%
9 11
 
3.9%
6 9
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2202
74.7%
Common 744
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 254
 
11.5%
t 166
 
7.5%
c 134
 
6.1%
o 108
 
4.9%
g 93
 
4.2%
A 87
 
4.0%
y 81
 
3.7%
h 79
 
3.6%
p 76
 
3.5%
s 76
 
3.5%
Other values (42) 1048
47.6%
Common
ValueCountFrequency (%)
- 200
26.9%
/ 120
16.1%
. 60
 
8.1%
0 56
 
7.5%
4 50
 
6.7%
8 50
 
6.7%
3 47
 
6.3%
= 30
 
4.0%
: 30
 
4.0%
_ 20
 
2.7%
Other values (6) 81
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 254
 
8.6%
- 200
 
6.8%
t 166
 
5.6%
c 134
 
4.5%
/ 120
 
4.1%
o 108
 
3.7%
g 93
 
3.2%
A 87
 
3.0%
y 81
 
2.7%
h 79
 
2.7%
Other values (58) 1624
55.1%

채널명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:31.801131image/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/UCfwdXSFXdvzvEUOsdhL0JoQ
2nd rowhttps://www.youtube.com/channel/UCynfr3RDxCy-JFvXh54k5pQ
3rd rowhttps://www.youtube.com/channel/UCb92MKiccz8vnhF_T255JDQ
4th rowhttps://www.youtube.com/channel/UChAd5UsmQpqlp2ARcV5eaZw
5th rowhttps://www.youtube.com/channel/UCtHYf8trKSptggpmL4yJisQ
ValueCountFrequency (%)
https://www.youtube.com/channel/ucfwdxsfxdvzveuosdhl0joq 1
 
3.3%
https://www.youtube.com/channel/ucynfr3rdxcy-jfvxh54k5pq 1
 
3.3%
https://www.youtube.com/channel/ucqv84mnd2dsdrgo5s2d1how 1
 
3.3%
https://www.youtube.com/channel/ucyzgtm5nez8qmqsipme5-dw 1
 
3.3%
https://www.youtube.com/channel/uctyfjmb1tcn1dqksvvx2kkw 1
 
3.3%
https://www.youtube.com/channel/ucbatr9uisdmqwanxxmudfbg 1
 
3.3%
https://www.youtube.com/channel/ucmjin-r7ydqi8smbhmefazg 1
 
3.3%
https://www.youtube.com/channel/ucz6zymstektsdeb4fw6buag 1
 
3.3%
https://www.youtube.com/channel/uc6g0gnzmz-ft8cd8hpfgweg 1
 
3.3%
https://www.youtube.com/channel/uci_g1sdlsq0souma5k7vwrq 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:16:32.702818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 108
 
6.4%
t 106
 
6.3%
e 73
 
4.3%
n 72
 
4.3%
u 69
 
4.1%
h 69
 
4.1%
o 68
 
4.0%
c 65
 
3.9%
. 60
 
3.6%
Other values (57) 870
51.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1035
61.6%
Uppercase Letter 333
 
19.8%
Other Punctuation 210
 
12.5%
Decimal Number 89
 
5.3%
Dash Punctuation 10
 
0.6%
Connector Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 108
 
10.4%
t 106
 
10.2%
e 73
 
7.1%
n 72
 
7.0%
u 69
 
6.7%
h 69
 
6.7%
o 68
 
6.6%
c 65
 
6.3%
p 46
 
4.4%
s 44
 
4.3%
Other values (16) 315
30.4%
Uppercase Letter
ValueCountFrequency (%)
U 41
 
12.3%
C 40
 
12.0%
D 21
 
6.3%
Q 21
 
6.3%
A 18
 
5.4%
S 16
 
4.8%
M 14
 
4.2%
G 13
 
3.9%
J 13
 
3.9%
V 12
 
3.6%
Other values (16) 124
37.2%
Decimal Number
ValueCountFrequency (%)
5 14
15.7%
6 12
13.5%
2 11
12.4%
7 10
11.2%
8 10
11.2%
4 10
11.2%
3 6
6.7%
0 6
6.7%
9 5
 
5.6%
1 5
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1368
81.4%
Common 312
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 108
 
7.9%
t 106
 
7.7%
e 73
 
5.3%
n 72
 
5.3%
u 69
 
5.0%
h 69
 
5.0%
o 68
 
5.0%
c 65
 
4.8%
p 46
 
3.4%
s 44
 
3.2%
Other values (42) 648
47.4%
Common
ValueCountFrequency (%)
/ 120
38.5%
. 60
19.2%
: 30
 
9.6%
5 14
 
4.5%
6 12
 
3.8%
2 11
 
3.5%
7 10
 
3.2%
- 10
 
3.2%
8 10
 
3.2%
4 10
 
3.2%
Other values (5) 25
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 108
 
6.4%
t 106
 
6.3%
e 73
 
4.3%
n 72
 
4.3%
u 69
 
4.1%
h 69
 
4.1%
o 68
 
4.0%
c 65
 
3.9%
. 60
 
3.6%
Other values (57) 870
51.8%

작성자평가
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:33.215086image/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=ucqkDLJPT_Q
2nd rowhttps://www.youtube.com/watch?v=8BLbh65tyvM
3rd rowhttps://www.youtube.com/watch?v=a_9lVY9m5lo
4th rowhttps://www.youtube.com/watch?v=hPZhkhyYJ4Y
5th rowhttps://www.youtube.com/watch?v=a-9YZcI1ZJc
ValueCountFrequency (%)
https://www.youtube.com/watch?v=ucqkdljpt_q 1
 
3.3%
https://www.youtube.com/watch?v=8blbh65tyvm 1
 
3.3%
https://www.youtube.com/watch?v=fe6nj7t99-o 1
 
3.3%
https://www.youtube.com/watch?v=t6sb-auoc6u 1
 
3.3%
https://www.youtube.com/watch?v=cx2dyjolscq 1
 
3.3%
https://www.youtube.com/watch?v=3hztxi8cgmq 1
 
3.3%
https://www.youtube.com/watch?v=in68v-2i1im 1
 
3.3%
https://www.youtube.com/watch?v=ke_u4zalzrq 1
 
3.3%
https://www.youtube.com/watch?v=q5g4a8bg8o0 1
 
3.3%
https://www.youtube.com/watch?v=x6ivhtcmjb8 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:16:33.984797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 125
 
9.7%
w 124
 
9.6%
/ 90
 
7.0%
c 69
 
5.3%
u 67
 
5.2%
h 66
 
5.1%
o 65
 
5.0%
. 60
 
4.7%
m 36
 
2.8%
v 35
 
2.7%
Other values (58) 553
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 840
65.1%
Other Punctuation 210
 
16.3%
Uppercase Letter 142
 
11.0%
Decimal Number 57
 
4.4%
Math Symbol 30
 
2.3%
Dash Punctuation 6
 
0.5%
Connector Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 125
14.9%
w 124
14.8%
c 69
 
8.2%
u 67
 
8.0%
h 66
 
7.9%
o 65
 
7.7%
m 36
 
4.3%
v 35
 
4.2%
b 33
 
3.9%
e 33
 
3.9%
Other values (16) 187
22.3%
Uppercase Letter
ValueCountFrequency (%)
H 12
 
8.5%
E 11
 
7.7%
Q 10
 
7.0%
Z 8
 
5.6%
B 8
 
5.6%
O 8
 
5.6%
S 7
 
4.9%
M 7
 
4.9%
Y 7
 
4.9%
I 6
 
4.2%
Other values (15) 58
40.8%
Decimal Number
ValueCountFrequency (%)
5 8
14.0%
8 8
14.0%
6 7
12.3%
9 7
12.3%
4 7
12.3%
2 6
10.5%
0 4
7.0%
7 4
7.0%
3 4
7.0%
1 2
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
: 30
 
14.3%
? 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 982
76.1%
Common 308
 
23.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 125
 
12.7%
w 124
 
12.6%
c 69
 
7.0%
u 67
 
6.8%
h 66
 
6.7%
o 65
 
6.6%
m 36
 
3.7%
v 35
 
3.6%
b 33
 
3.4%
e 33
 
3.4%
Other values (41) 329
33.5%
Common
ValueCountFrequency (%)
/ 90
29.2%
. 60
19.5%
: 30
 
9.7%
= 30
 
9.7%
? 30
 
9.7%
5 8
 
2.6%
8 8
 
2.6%
6 7
 
2.3%
9 7
 
2.3%
4 7
 
2.3%
Other values (7) 31
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 125
 
9.7%
w 124
 
9.6%
/ 90
 
7.0%
c 69
 
5.3%
u 67
 
5.2%
h 66
 
5.1%
o 65
 
5.0%
. 60
 
4.7%
m 36
 
2.8%
v 35
 
2.7%
Other values (58) 553
42.9%

덧글영상경로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Correlations

2023-12-10T23:16:34.183503image/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

2023-12-10T23:16:26.656398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:16:26.932963image/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
0Ugy6elJIiT4KblVhkFR4AaABAg2020-12-10정도환https://yt3.ggpht.com/ytc/AAUvwngJDaNalZS41VLQe23E0PfcXdvV8jA1_Wz34Q=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCfwdXSFXdvzvEUOsdhL0JoQhttps://www.youtube.com/watch?v=ucqkDLJPT_Q<NA>
1Ugy6eZiHTH34Lu7KE5N4AaABAg2020-12-10chulbong anhttps://yt3.ggpht.com/ytc/AAUvwnibO-5PJA3BiI0yRCFZ22WqjYRMtg0uVxcTEw=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCynfr3RDxCy-JFvXh54k5pQhttps://www.youtube.com/watch?v=8BLbh65tyvM<NA>
2UgwMkbDpYGR_4f8MoEx4AaABAg2020-12-10박재영https://yt3.ggpht.com/ytc/AAUvwnjSbOOF_tDYfmb-I__Fez0CvAhHb6fG_ecDN5s9HA=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCb92MKiccz8vnhF_T255JDQhttps://www.youtube.com/watch?v=a_9lVY9m5lo<NA>
3Ugy6etUyyYQ-jdtCQQ54AaABAg2020-12-10bluehttps://yt3.ggpht.com/ytc/AAUvwnguF0yai8lAnNINtlbLaC0jGmhCiGGPLYe_KKud3Q=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UChAd5UsmQpqlp2ARcV5eaZwhttps://www.youtube.com/watch?v=hPZhkhyYJ4Y<NA>
4Ugy6elPb33xy0HluanJ4AaABAg2020-12-10Steve Kimhttps://yt3.ggpht.com/ytc/AAUvwnjooNEpSCGJ5J0SZu2pSvD-zuXlUWo-QeuHvA=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCtHYf8trKSptggpmL4yJisQhttps://www.youtube.com/watch?v=a-9YZcI1ZJc<NA>
5UgwMktDFXKfnNAbkEJ54AaABAg2020-12-10suhye Leehttps://yt3.ggpht.com/ytc/AAUvwnjfKa1eijFXE8rFQsF4FyeK3JyCR2bdPYtW2Rkb=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCGCyT26s7h2Tpyg5VlpquiQhttps://www.youtube.com/watch?v=-idLweH3sHw<NA>
6Ugy6eunU6wwFw_T9Evt4AaABAg2020-12-10알렉셀https://yt3.ggpht.com/ytc/AAUvwngOdpHe8Hlu-q3q_r1AcyQlosJtzC9Bqy6Cy9Ns=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UC4SF3p6kltLAkRtZMGy-vuAhttps://www.youtube.com/watch?v=AGu2VShNLo4<NA>
7UgwMkvEmjNUVc1TSlVJ4AaABAg2020-12-10B Khttps://yt3.ggpht.com/ytc/AAUvwni4ly4ToJ1WJBBlDRyMkmWEQdhoo0EAWrr5bw=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCTbSguUyiBJPCXA-2-H4uKwhttps://www.youtube.com/watch?v=7EBHPUmIcWE<NA>
8Ugy6f0VS1L-wESdhKsV4AaABAg2020-12-10Bhun Shinhttps://yt3.ggpht.com/ytc/AAUvwniKShER8R0h1mSIN7zAbrzcBDHe2tmAG9trNw=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCqZ2ZKZbeDcV-DfKSoiUzrghttps://www.youtube.com/watch?v=i5kvg6Wp04A<NA>
9UgwMl1N7GdeRY-FJ6CV4AaABAg2020-12-10엘리킴https://yt3.ggpht.com/ytc/AAUvwngpQSSE5ut4D7WPk_lFiWed7wiy2WGt5YNx5g=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCEaH5WxgXSrtDNKTWPSVnlwhttps://www.youtube.com/watch?v=YtnXrSPHd5M<NA>
작성자덧글수집일자별명프로필URL채널명작성자평가덧글영상경로명
20UgwMlbKlmfL0oJUeH854AaABAg2020-12-10Azzuhttps://yt3.ggpht.com/ytc/AAUvwngtE4cAgYPrfUAkM-iH-1k0l0IQltpC_9_sQ5l9=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCGPSfbg7UqUIV7P4zUDqwpQhttps://www.youtube.com/watch?v=pO2muw_v0G4<NA>
21Ugy6fQQfsB7zmuAJGch4AaABAg2020-12-10이소영https://yt3.ggpht.com/ytc/AAUvwngLwtC8Mt8zAOLa7OuNpc1GlM_E4TIDivADCw=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCI_G1sDlsq0sOuMA5k7VWRQhttps://www.youtube.com/watch?v=X6ivHtcMJb8<NA>
22UgwMlndRFs8aeLw4pSd4AaABAg2020-12-10김범석https://yt3.ggpht.com/ytc/AAUvwngiEcM_BNi1h3elDD5pKWtfMRdU2uBzB3Z74w=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UC6G0gnzmz-Ft8CD8HpFgweghttps://www.youtube.com/watch?v=Q5g4A8Bg8O0<NA>
23Ugy6fR2YkUJt2XYNc4h4AaABAg2020-12-10*여울https://yt3.ggpht.com/ytc/AAUvwng87V7lQIQgGGAwMXC6vBCmSmrBvvfWd04HLVe1=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCz6ZymSteKtSDeb4FW6BUAghttps://www.youtube.com/watch?v=kE_u4ZAlZRQ<NA>
24UgwMltggS5YMhEoAFuV4AaABAg2020-12-10임소나무https://yt3.ggpht.com/ytc/AAUvwni3wqMOH9TlJvgS90-XiLK5XnjL8YKA08waopIS=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCMJiN-r7yDqi8sMBhmEfaZghttps://www.youtube.com/watch?v=In68V-2i1IM<NA>
25Ugy6faCP08OToXqbQp14AaABAg2020-12-10김수현https://yt3.ggpht.com/ytc/AAUvwnh7lXQfYFVz8cFCdeGPrIUWkzg0mpYMnkEEyEv-=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCbATr9UisdmQwanXXmuDFBghttps://www.youtube.com/watch?v=3hZtxi8cGmQ<NA>
26Ugy6fVQ7r76REhrmMLZ4AaABAg2020-12-10코몽https://yt3.ggpht.com/ytc/AAUvwng7veKglKpySxSeN4NI4I6mQ_jOyUOozgvlZhddzA=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCTYfJMB1tcN1DqKsvVx2kKwhttps://www.youtube.com/watch?v=cx2dYJOlScQ<NA>
27UgwMmAVjrIEDFHcyU1Z4AaABAg2020-12-10이쁜보물단지https://yt3.ggpht.com/ytc/AAUvwnhlBxDLSNwDjPrEHS0dMqJHLbrse-icVZB4VA=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCYzGTM5nez8QMqsIPMe5-Dwhttps://www.youtube.com/watch?v=t6Sb-AuOC6U<NA>
28Ugy6fcklaICczCTPTW54AaABAg2020-12-10김승주https://yt3.ggpht.com/ytc/AAUvwnhnynSMgp0isWgU2o8a0Z-rm4-gLREv5UdRQw=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCQV84Mnd2DsDrGO5s2D1Howhttps://www.youtube.com/watch?v=FE6nJ7T99-o<NA>
29UgwMmB9sjKKl2lyl9m54AaABAg2020-12-10김도형https://yt3.ggpht.com/ytc/AAUvwnhVBddDBwgeE1hXjU00u2NvbRJ-a0BOvJZFUQ=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCDQiHnvCP8wbXVCXZtyFu7Ahttps://www.youtube.com/watch?v=uO_WE8B5XlY<NA>