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/175a7c1d-9393-4359-bce6-3e3d4dedd634

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 14:12:03.096421
Analysis finished2023-12-10 14:12:04.066748
Duration0.97 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
2023-12-10T23:12:04.327605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters780
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowUgxZV56TLcdGjdjKNO54AaABAg
2nd rowUgxZV3vcTP5lHSJ5RKZ4AaABAg
3rd rowUgwPJKUJbFMyFryaPHB4AaABAg
4th rowUgxZV8IvEat997J4I2R4AaABAg
5th rowUgxZV7KBcPhROlg69EZ4AaABAg
ValueCountFrequency (%)
ugxzv56tlcdgjdjkno54aaabag 1
 
3.3%
ugxzv3vctp5lhsj5rkz4aaabag 1
 
3.3%
ugxzvz8_o8bemedszkt4aaabag 1
 
3.3%
ugwpkggy8hfxv2zn8th4aaabag 1
 
3.3%
ugxzvq_h79vqxdxkupt4aaabag 1
 
3.3%
ugxzvulli6qeesimmv94aaabag 1
 
3.3%
ugwpkdx-8yp68prkkdr4aaabag 1
 
3.3%
ugxzvjuk4aqv8c7uvrp4aaabag 1
 
3.3%
ugwpkcar5ui9j67dx294aaabag 1
 
3.3%
ugxzvhesfbkkwuqe8ov4aaabag 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:12:05.002750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 94
 
12.1%
g 65
 
8.3%
B 40
 
5.1%
a 36
 
4.6%
U 36
 
4.6%
4 34
 
4.4%
V 27
 
3.5%
Z 25
 
3.2%
x 25
 
3.2%
P 23
 
2.9%
Other values (53) 375
48.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 382
49.0%
Lowercase Letter 284
36.4%
Decimal Number 109
 
14.0%
Connector Punctuation 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 94
24.6%
B 40
10.5%
U 36
 
9.4%
V 27
 
7.1%
Z 25
 
6.5%
P 23
 
6.0%
K 17
 
4.5%
J 13
 
3.4%
R 11
 
2.9%
F 9
 
2.4%
Other values (16) 87
22.8%
Lowercase Letter
ValueCountFrequency (%)
g 65
22.9%
a 36
12.7%
x 25
 
8.8%
w 16
 
5.6%
v 14
 
4.9%
d 10
 
3.5%
h 10
 
3.5%
n 9
 
3.2%
p 9
 
3.2%
u 9
 
3.2%
Other values (16) 81
28.5%
Decimal Number
ValueCountFrequency (%)
4 34
31.2%
8 17
15.6%
6 12
 
11.0%
9 11
 
10.1%
5 8
 
7.3%
7 8
 
7.3%
3 7
 
6.4%
1 6
 
5.5%
2 6
 
5.5%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 666
85.4%
Common 114
 
14.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 94
 
14.1%
g 65
 
9.8%
B 40
 
6.0%
a 36
 
5.4%
U 36
 
5.4%
V 27
 
4.1%
Z 25
 
3.8%
x 25
 
3.8%
P 23
 
3.5%
K 17
 
2.6%
Other values (42) 278
41.7%
Common
ValueCountFrequency (%)
4 34
29.8%
8 17
14.9%
6 12
 
10.5%
9 11
 
9.6%
5 8
 
7.0%
7 8
 
7.0%
3 7
 
6.1%
1 6
 
5.3%
2 6
 
5.3%
_ 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 94
 
12.1%
g 65
 
8.3%
B 40
 
5.1%
a 36
 
4.6%
U 36
 
4.6%
4 34
 
4.4%
V 27
 
3.5%
Z 25
 
3.2%
x 25
 
3.2%
P 23
 
2.9%
Other values (53) 375
48.1%

덧글수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-07-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-01
2nd row2021-07-01
3rd row2021-07-01
4th row2021-07-01
5th row2021-07-01

Common Values

ValueCountFrequency (%)
2021-07-01 30
100.0%

Length

2023-12-10T23:12:05.225646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:12:05.443050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-01 30
100.0%

별명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:12:05.797659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length4.5666667
Min length2

Characters and Unicode

Total characters137
Distinct characters87
Distinct categories5 ?
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 row구구
2nd row쫄지마
3rd rowkim dg
4th row호랑냥이
5th row김현준
ValueCountFrequency (%)
lee 2
 
4.9%
구구 1
 
2.4%
노용균 1
 
2.4%
한종운 1
 
2.4%
박소영 1
 
2.4%
윤창현 1
 
2.4%
정재민 1
 
2.4%
주뚱 1
 
2.4%
海綿寶寶 1
 
2.4%
k히로 1
 
2.4%
Other values (30) 30
73.2%
2023-12-10T23:12:06.358873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
8.0%
e 7
 
5.1%
o 5
 
3.6%
n 5
 
3.6%
l 3
 
2.2%
k 3
 
2.2%
y 3
 
2.2%
g 3
 
2.2%
이 3
 
2.2%
u 3
 
2.2%
Other values (77) 91
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
47.4%
Lowercase Letter 47
34.3%
Uppercase Letter 12
 
8.8%
Space Separator 11
 
8.0%
Decimal Number 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3
 
4.6%
태 2
 
3.1%
구 2
 
3.1%
寶 2
 
3.1%
로 2
 
3.1%
담 2
 
3.1%
다 2
 
3.1%
현 2
 
3.1%
민 1
 
1.5%
綿 1
 
1.5%
Other values (46) 46
70.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.9%
o 5
10.6%
n 5
10.6%
l 3
 
6.4%
k 3
 
6.4%
y 3
 
6.4%
g 3
 
6.4%
u 3
 
6.4%
j 2
 
4.3%
h 2
 
4.3%
Other values (8) 11
23.4%
Uppercase Letter
ValueCountFrequency (%)
L 2
16.7%
O 2
16.7%
S 1
8.3%
Y 1
8.3%
P 1
8.3%
E 1
8.3%
H 1
8.3%
A 1
8.3%
N 1
8.3%
K 1
8.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61
44.5%
Latin 59
43.1%
Common 13
 
9.5%
Han 4
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3
 
4.9%
태 2
 
3.3%
구 2
 
3.3%
로 2
 
3.3%
담 2
 
3.3%
다 2
 
3.3%
현 2
 
3.3%
민 1
 
1.6%
뚱 1
 
1.6%
주 1
 
1.6%
Other values (43) 43
70.5%
Latin
ValueCountFrequency (%)
e 7
 
11.9%
o 5
 
8.5%
n 5
 
8.5%
l 3
 
5.1%
k 3
 
5.1%
y 3
 
5.1%
g 3
 
5.1%
u 3
 
5.1%
L 2
 
3.4%
j 2
 
3.4%
Other values (18) 23
39.0%
Common
ValueCountFrequency (%)
11
84.6%
4 1
 
7.7%
1 1
 
7.7%
Han
ValueCountFrequency (%)
寶 2
50.0%
綿 1
25.0%
海 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
52.6%
Hangul 61
44.5%
CJK 4
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
15.3%
e 7
 
9.7%
o 5
 
6.9%
n 5
 
6.9%
l 3
 
4.2%
k 3
 
4.2%
y 3
 
4.2%
g 3
 
4.2%
u 3
 
4.2%
L 2
 
2.8%
Other values (21) 27
37.5%
Hangul
ValueCountFrequency (%)
이 3
 
4.9%
태 2
 
3.3%
구 2
 
3.3%
로 2
 
3.3%
담 2
 
3.3%
다 2
 
3.3%
현 2
 
3.3%
민 1
 
1.6%
뚱 1
 
1.6%
주 1
 
1.6%
Other values (43) 43
70.5%
CJK
ValueCountFrequency (%)
寶 2
50.0%
綿 1
25.0%
海 1
25.0%

프로필URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:12:06.884339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length94
Mean length96.333333
Min length94

Characters and Unicode

Total characters2890
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/AKedOLSmo1xrtOAuS2JQ_3AYUXNWvnobZ1cvMSV_pw=s48-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AKedOLRR6sZO5LvtA7svisbssCBKexQB31Vzrc8png=s48-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AKedOLQDp9l3UTYJH0W23U2TcMyMCzHUtVZLMKzH2Q=s48-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AKedOLQmEob_2lZYC1nhYSCpXzlyUHg9Lbnv33JOiAoibA=s48-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AKedOLQ17n3Z7NyRzzstRMVEiJjkpt22NIE2_IqWdw=s48-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/akedolsmo1xrtoaus2jq_3ayuxnwvnobz1cvmsv_pw=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolrr6szo5lvta7svisbsscbkexqb31vzrc8png=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolr54kpfmurblunk4c15tidaonnserqbp-u6vlyq=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolrezpwo1qkzfqbo7piwzyjhyy77xp5_ofptksavua=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolqrthumd9xpdbzxs-aqd_p0s8pne1zp1tr9t0ti0q=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolrizb3svczha_5nzyfxvolevdo7ery5quzq5a=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolscgh9x1p_qqrt4g-sv_hnsmi6aa9yt5tcbhg=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolsebq1kdmqpjmqpukg9rewn8goodsrdurttdg=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/ytc/akedolsbotrlt1ekzxqi9ld5sn-r2jr5f6qik38ainln=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
https://yt3.ggpht.com/qpdki_9-7y7vmy9-vv6pahmfxwagqktresa3ztspjvwxgnn9falkm-zghgxnmj3oxpxtngxf=s48-c-k-c0x00ffffff-no-rj 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:12:07.595494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 194
 
6.7%
t 170
 
5.9%
- 163
 
5.6%
c 138
 
4.8%
/ 119
 
4.1%
0 101
 
3.5%
g 87
 
3.0%
p 83
 
2.9%
s 80
 
2.8%
o 76
 
2.6%
Other values (58) 1679
58.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1490
51.6%
Uppercase Letter 631
21.8%
Decimal Number 349
 
12.1%
Other Punctuation 209
 
7.2%
Dash Punctuation 163
 
5.6%
Math Symbol 30
 
1.0%
Connector Punctuation 18
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 194
13.0%
t 170
 
11.4%
c 138
 
9.3%
g 87
 
5.8%
p 83
 
5.6%
s 80
 
5.4%
o 76
 
5.1%
y 75
 
5.0%
h 74
 
5.0%
r 50
 
3.4%
Other values (16) 463
31.1%
Uppercase Letter
ValueCountFrequency (%)
A 52
 
8.2%
L 51
 
8.1%
O 45
 
7.1%
K 42
 
6.7%
S 29
 
4.6%
R 27
 
4.3%
Q 27
 
4.3%
Z 27
 
4.3%
P 26
 
4.1%
N 25
 
4.0%
Other values (16) 280
44.4%
Decimal Number
ValueCountFrequency (%)
0 101
28.9%
3 56
16.0%
8 45
12.9%
4 38
 
10.9%
7 22
 
6.3%
2 21
 
6.0%
9 18
 
5.2%
5 18
 
5.2%
1 17
 
4.9%
6 13
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 119
56.9%
. 60
28.7%
: 30
 
14.4%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2121
73.4%
Common 769
 
26.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 194
 
9.1%
t 170
 
8.0%
c 138
 
6.5%
g 87
 
4.1%
p 83
 
3.9%
s 80
 
3.8%
o 76
 
3.6%
y 75
 
3.5%
h 74
 
3.5%
A 52
 
2.5%
Other values (42) 1092
51.5%
Common
ValueCountFrequency (%)
- 163
21.2%
/ 119
15.5%
0 101
13.1%
. 60
 
7.8%
3 56
 
7.3%
8 45
 
5.9%
4 38
 
4.9%
= 30
 
3.9%
: 30
 
3.9%
7 22
 
2.9%
Other values (6) 105
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 194
 
6.7%
t 170
 
5.9%
- 163
 
5.6%
c 138
 
4.8%
/ 119
 
4.1%
0 101
 
3.5%
g 87
 
3.0%
p 83
 
2.9%
s 80
 
2.8%
o 76
 
2.6%
Other values (58) 1679
58.1%

채널명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:12:08.057965image/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/UCTMw-gBlAaE0wEGAY0nn79Q
2nd rowhttps://www.youtube.com/channel/UCmzjeMljOioJvEJNl-eUtFg
3rd rowhttps://www.youtube.com/channel/UCddKvQori7Gi4S2iBNEdNCQ
4th rowhttps://www.youtube.com/channel/UCtwWcWo3t5JtGQZhct9cTkg
5th rowhttps://www.youtube.com/channel/UC8q0uKw1ADjQvFblyT5UzAg
ValueCountFrequency (%)
https://www.youtube.com/channel/uctmw-gblaae0wegay0nn79q 1
 
3.3%
https://www.youtube.com/channel/ucmzjemljoiojvejnl-eutfg 1
 
3.3%
https://www.youtube.com/channel/ucbhiva0p5nxc1mohdhpvesa 1
 
3.3%
https://www.youtube.com/channel/ucdgk8oxwa9_jdxyf--e8ila 1
 
3.3%
https://www.youtube.com/channel/ucou-xoq865w70fc11kqz5-a 1
 
3.3%
https://www.youtube.com/channel/ucjurvy76xfhkkompopeedza 1
 
3.3%
https://www.youtube.com/channel/uc88zpxkqg2k-j-tte5ri7lg 1
 
3.3%
https://www.youtube.com/channel/uczexxgkyeooo3l6ndaqc9lq 1
 
3.3%
https://www.youtube.com/channel/ucxm2lwbom7txbfgsfwwdatg 1
 
3.3%
https://www.youtube.com/channel/uck_bbth1z7eotfvgi6fwxeg 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:12:08.847073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 112
 
6.7%
t 104
 
6.2%
o 73
 
4.3%
c 73
 
4.3%
e 72
 
4.3%
n 69
 
4.1%
u 67
 
4.0%
h 66
 
3.9%
. 60
 
3.6%
Other values (57) 864
51.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1034
61.5%
Uppercase Letter 309
 
18.4%
Other Punctuation 210
 
12.5%
Decimal Number 102
 
6.1%
Dash Punctuation 18
 
1.1%
Connector Punctuation 7
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 112
 
10.8%
t 104
 
10.1%
o 73
 
7.1%
c 73
 
7.1%
e 72
 
7.0%
n 69
 
6.7%
u 67
 
6.5%
h 66
 
6.4%
b 44
 
4.3%
l 41
 
4.0%
Other values (16) 313
30.3%
Uppercase Letter
ValueCountFrequency (%)
C 36
 
11.7%
U 35
 
11.3%
A 19
 
6.1%
E 16
 
5.2%
F 16
 
5.2%
T 14
 
4.5%
N 14
 
4.5%
G 12
 
3.9%
M 12
 
3.9%
K 11
 
3.6%
Other values (16) 124
40.1%
Decimal Number
ValueCountFrequency (%)
5 15
14.7%
8 13
12.7%
7 12
11.8%
9 11
10.8%
6 11
10.8%
0 10
9.8%
1 9
8.8%
4 9
8.8%
2 8
7.8%
3 4
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1343
79.9%
Common 337
 
20.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 112
 
8.3%
t 104
 
7.7%
o 73
 
5.4%
c 73
 
5.4%
e 72
 
5.4%
n 69
 
5.1%
u 67
 
5.0%
h 66
 
4.9%
b 44
 
3.3%
l 41
 
3.1%
Other values (42) 622
46.3%
Common
ValueCountFrequency (%)
/ 120
35.6%
. 60
17.8%
: 30
 
8.9%
- 18
 
5.3%
5 15
 
4.5%
8 13
 
3.9%
7 12
 
3.6%
9 11
 
3.3%
6 11
 
3.3%
0 10
 
3.0%
Other values (5) 37
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 112
 
6.7%
t 104
 
6.2%
o 73
 
4.3%
c 73
 
4.3%
e 72
 
4.3%
n 69
 
4.1%
u 67
 
4.0%
h 66
 
3.9%
. 60
 
3.6%
Other values (57) 864
51.4%

작성자평가
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:12:09.354958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length43
Mean length43
Min length43

Characters and Unicode

Total characters1290
Distinct characters69
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=pyXh_Dm64UI
2nd rowhttps://www.youtube.com/watch?v=fbFnw35Eb_k
3rd rowhttps://www.youtube.com/watch?v=Ocf6tWbInuU
4th rowhttps://www.youtube.com/watch?v=i68kF75gKlk
5th rowhttps://www.youtube.com/watch?v=VX75P2C9LFw
ValueCountFrequency (%)
https://www.youtube.com/watch?v=pyxh_dm64ui 1
 
3.3%
https://www.youtube.com/watch?v=fbfnw35eb_k 1
 
3.3%
https://www.youtube.com/watch?v=fx1edoegigk 1
 
3.3%
https://www.youtube.com/watch?v=ld4tpwywseg 1
 
3.3%
https://www.youtube.com/watch?v=vruj0xm5ds4 1
 
3.3%
https://www.youtube.com/watch?v=rthaflyzo1q 1
 
3.3%
https://www.youtube.com/watch?v=s-uqzvfs59o 1
 
3.3%
https://www.youtube.com/watch?v=60e4fbt0k4w 1
 
3.3%
https://www.youtube.com/watch?v=ohud162uwd0 1
 
3.3%
https://www.youtube.com/watch?v=peu2fgzuacm 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:12:10.100022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 130
 
10.1%
t 125
 
9.7%
/ 90
 
7.0%
o 69
 
5.3%
u 69
 
5.3%
h 66
 
5.1%
c 65
 
5.0%
. 60
 
4.7%
s 38
 
2.9%
b 37
 
2.9%
Other values (59) 541
41.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 859
66.6%
Other Punctuation 210
 
16.3%
Uppercase Letter 119
 
9.2%
Decimal Number 66
 
5.1%
Math Symbol 30
 
2.3%
Connector Punctuation 3
 
0.2%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 130
15.1%
t 125
14.6%
o 69
 
8.0%
u 69
 
8.0%
h 66
 
7.7%
c 65
 
7.6%
s 38
 
4.4%
b 37
 
4.3%
e 35
 
4.1%
y 34
 
4.0%
Other values (16) 191
22.2%
Uppercase Letter
ValueCountFrequency (%)
E 9
 
7.6%
U 9
 
7.6%
M 8
 
6.7%
H 7
 
5.9%
P 7
 
5.9%
F 7
 
5.9%
Y 6
 
5.0%
G 6
 
5.0%
C 5
 
4.2%
D 5
 
4.2%
Other values (16) 50
42.0%
Decimal Number
ValueCountFrequency (%)
5 9
13.6%
4 8
12.1%
6 8
12.1%
9 8
12.1%
8 7
10.6%
1 6
9.1%
3 6
9.1%
0 5
7.6%
7 5
7.6%
2 4
6.1%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
: 30
 
14.3%
? 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 978
75.8%
Common 312
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 130
13.3%
t 125
12.8%
o 69
 
7.1%
u 69
 
7.1%
h 66
 
6.7%
c 65
 
6.6%
s 38
 
3.9%
b 37
 
3.8%
e 35
 
3.6%
y 34
 
3.5%
Other values (42) 310
31.7%
Common
ValueCountFrequency (%)
/ 90
28.8%
. 60
19.2%
: 30
 
9.6%
? 30
 
9.6%
= 30
 
9.6%
5 9
 
2.9%
4 8
 
2.6%
6 8
 
2.6%
9 8
 
2.6%
8 7
 
2.2%
Other values (7) 32
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 130
 
10.1%
t 125
 
9.7%
/ 90
 
7.0%
o 69
 
5.3%
u 69
 
5.3%
h 66
 
5.1%
c 65
 
5.0%
. 60
 
4.7%
s 38
 
2.9%
b 37
 
2.9%
Other values (59) 541
41.9%

덧글영상경로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Correlations

2023-12-10T23:12:10.285405image/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

2023-12-10T23:12:03.756791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:12:03.987274image/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
0UgxZV56TLcdGjdjKNO54AaABAg2021-07-01구구https://yt3.ggpht.com/ytc/AKedOLSmo1xrtOAuS2JQ_3AYUXNWvnobZ1cvMSV_pw=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCTMw-gBlAaE0wEGAY0nn79Qhttps://www.youtube.com/watch?v=pyXh_Dm64UI<NA>
1UgxZV3vcTP5lHSJ5RKZ4AaABAg2021-07-01쫄지마https://yt3.ggpht.com/ytc/AKedOLRR6sZO5LvtA7svisbssCBKexQB31Vzrc8png=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCmzjeMljOioJvEJNl-eUtFghttps://www.youtube.com/watch?v=fbFnw35Eb_k<NA>
2UgwPJKUJbFMyFryaPHB4AaABAg2021-07-01kim dghttps://yt3.ggpht.com/ytc/AKedOLQDp9l3UTYJH0W23U2TcMyMCzHUtVZLMKzH2Q=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCddKvQori7Gi4S2iBNEdNCQhttps://www.youtube.com/watch?v=Ocf6tWbInuU<NA>
3UgxZV8IvEat997J4I2R4AaABAg2021-07-01호랑냥이https://yt3.ggpht.com/ytc/AKedOLQmEob_2lZYC1nhYSCpXzlyUHg9Lbnv33JOiAoibA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCtwWcWo3t5JtGQZhct9cTkghttps://www.youtube.com/watch?v=i68kF75gKlk<NA>
4UgxZV7KBcPhROlg69EZ4AaABAg2021-07-01김현준https://yt3.ggpht.com/ytc/AKedOLQ17n3Z7NyRzzstRMVEiJjkpt22NIE2_IqWdw=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UC8q0uKw1ADjQvFblyT5UzAghttps://www.youtube.com/watch?v=VX75P2C9LFw<NA>
5UgwPJhtZuKP3vRp8oSV4AaABAg2021-07-01버거킹https://yt3.ggpht.com/ytc/AKedOLRNcqNiYm2017FtlAz-fjlCdER23SOH6Pwy7M2GGg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCLPgnyv6uotLFcKlVdRbV1ghttps://www.youtube.com/watch?v=yJ1oNuUQ188<NA>
6UgxZVBSB5futmjnbJ-Z4AaABAg2021-07-01bj leehttps://yt3.ggpht.com/ytc/AKedOLSsbcaPrWkSTOE9OkJ3u_68CLClzNz3CduUIw=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCpY1uba7WpsigBgtZ5-eOvghttps://www.youtube.com/watch?v=kkHYU9ZuC7A<NA>
7UgwPJiP5HhidOrAQ6fB4AaABAg2021-07-01아태태맘https://yt3.ggpht.com/ytc/AKedOLRlc0tR2rLgSq53li8nnJggHyhZusP7WjFFZAW7OA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCjiRjTRPq-YyI8GtbxU-p-whttps://www.youtube.com/watch?v=wYE3w37Jqr4<NA>
8UgxZVBoVmihwjgYVx7p4AaABAg2021-07-01성이름https://yt3.ggpht.com/ytc/AKedOLQiix7RPKOw0CGlBjLfBwWDfrJMLSBEyofssg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCdP-nqhNH5eRPI5aOiwntkghttps://www.youtube.com/watch?v=Mo65E8-3RMs<NA>
9UgwPJnhLa9X9RzF65md4AaABAg2021-07-014 1https://yt3.ggpht.com/ytc/AKedOLSp8rZ6XeWiljzPBAM6NdfNstKJ2mGjrwGNGnH_=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCVbE-SrTMbNEl_-AjkvN52whttps://www.youtube.com/watch?v=wiVCH6Ue15g<NA>
작성자덧글수집일자별명프로필URL채널명작성자평가덧글영상경로명
20UgwPK6gffPhN66b9HCB4AaABAg2021-07-01정재민https://yt3.ggpht.com/ytc/AKedOLQbeVoe_b_ZaP4_rdTEcWLbDqh-h8EICLV8rPaLLQ=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCqYvGAcDGzJzBgajbR_hyEAhttps://www.youtube.com/watch?v=i-9s5hGkHhY<NA>
21UgxZVheSFBkkwuqE8oV4AaABAg2021-07-01주뚱https://yt3.ggpht.com/qPDki_9-7y7VmY9-VV6PaHmFxWaGQKTRESA3ZTspJvwxgnN9FaLkM-ZghgXNMj3oXpxTnGxf=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCK_bbTH1z7eoTFvGi6FwxEghttps://www.youtube.com/watch?v=pEu2fGzUaCM<NA>
22UgwPKCaR5UI9J67dX294AaABAg2021-07-01海綿寶寶https://yt3.ggpht.com/ytc/AKedOLSBOTrLT1ekzxQi9Ld5SN-r2Jr5F6qIk38AinLN=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCXM2LwboM7txbFGSfWwdAtghttps://www.youtube.com/watch?v=oHUD162uWD0<NA>
23UgxZVjuK4AQv8C7uVRp4AaABAg2021-07-01k히로https://yt3.ggpht.com/ytc/AKedOLSEbQ1kDMqPjmQpUKG9rEWn8gOOdsRdURTTDg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCzexXgkyEooo3l6NdaQc9lQhttps://www.youtube.com/watch?v=60e4FbT0K4w<NA>
24UgwPKDx-8Yp68PRkkDR4AaABAg2021-07-01노용균https://yt3.ggpht.com/ytc/AKedOLScGh9X1p_Qqrt4G-SV_hNsMI6aa9YT5TcbHg=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UC88zPxkqG2K-J-TTE5Ri7Lghttps://www.youtube.com/watch?v=s-uQzvFs59o<NA>
25UgxZVuLLi6qEEsiMMv94AaABAg2021-07-01Soon Young Parkhttps://yt3.ggpht.com/ytc/AKedOLRizb3SvcZHa_5NZYFxVolEvDo7ery5quZq5A=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCjurVY76xFHKkoMPOPEedZAhttps://www.youtube.com/watch?v=RThaflYzO1Q<NA>
26UgxZVq_H79vqXDxKuPt4AaABAg2021-07-01LO vEhttps://yt3.ggpht.com/ytc/AKedOLQrthUMd9XPDBZXS-Aqd_P0s8pNe1Zp1tR9t0TI0Q=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCOu-Xoq865w70FC11kqz5-Ahttps://www.youtube.com/watch?v=Vruj0xm5Ds4<NA>
27UgwPKGgY8hFxv2Zn8th4AaABAg2021-07-01네로쉬https://yt3.ggpht.com/ytc/AKedOLREzpWo1QkzFQBO7PiWZYJHYy77xP5_ofPtKSavUA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCdGK8OXwA9_jdxYF--e8ILAhttps://www.youtube.com/watch?v=Ld4tPwyWSeg<NA>
28UgxZVz8_o8bEMedSzkt4AaABAg2021-07-01담다담다https://yt3.ggpht.com/ytc/AKedOLR54kPfmURBLuNK4c15TiDaonNSeRQBp-u6vLYq=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCbHivA0p5NXc1MOHdHpvESAhttps://www.youtube.com/watch?v=Fx1edoEgiGk<NA>
29UgwPKMplr3pZ4lD3U8V4AaABAg2021-07-01Hj Khttps://yt3.ggpht.com/ytc/AKedOLQV6hZs9gW6l8HvFvsJJ_TwcqsWcf2CXSNqcA=s48-c-k-c0x00ffffff-no-rjhttps://www.youtube.com/channel/UCkoXNBuwgqB95lpyYF4cm8Ahttps://www.youtube.com/watch?v=GcHUXEXBF9k<NA>