Overview

Dataset statistics

Number of variables6
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory52.4 B

Variable types

Text5
Categorical1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/9e7d6538-aa7b-40f4-8ac8-42baba20dd4e

Alerts

수집일자 has constant value ""Constant
이용자덧글ID has unique valuesUnique
작성자별명 has unique valuesUnique
작성자프로필URL has unique valuesUnique
작성자채널ID has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:21:26.444502
Analysis finished2023-12-10 14:21:27.284626
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용자덧글ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:27.441547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length25.2
Min length20

Characters and Unicode

Total characters756
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 rowUgyLGXO5idATEUa6wvl4AaABAg
2nd rowUgwGcxRufuyT1NHNF9V4AaABAg
3rd rowUgxSjaJdjvL-6jeFL1Z4AaABAg
4th rowUgxTze1TeH7P5s4fFmt4AaABAg
5th rowUgy2_-f_E-qGLFISn-d4AaABAg
ValueCountFrequency (%)
ugylgxo5idateua6wvl4aaabag 1
 
3.3%
ugwgcxrufuyt1nhnf9v4aaabag 1
 
3.3%
ugyq21lacwmg1uetooj4aaabag 1
 
3.3%
ugxx_4yfmby-7j-hrjv4aaabag 1
 
3.3%
ugwrmzbm6tx2xnwl-kl4aaabag 1
 
3.3%
ugzqjwtkmcvv5fmwpsb4aaabag 1
 
3.3%
ugwcsbxa4yly_fdt8wr4aaabag 1
 
3.3%
ugwlwafbsnk7wp7t-p54aaabag 1
 
3.3%
ugx5xlcztaglpvroorz4aaabag 1
 
3.3%
ugxzvdka9cb2hrrxxa14aaabag 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:27.759817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 88
 
11.6%
g 67
 
8.9%
B 36
 
4.8%
4 35
 
4.6%
a 35
 
4.6%
U 34
 
4.5%
x 19
 
2.5%
w 17
 
2.2%
F 14
 
1.9%
C 14
 
1.9%
Other values (54) 397
52.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 355
47.0%
Lowercase Letter 287
38.0%
Decimal Number 97
 
12.8%
Dash Punctuation 10
 
1.3%
Connector Punctuation 7
 
0.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 88
24.8%
B 36
 
10.1%
U 34
 
9.6%
F 14
 
3.9%
C 14
 
3.9%
E 13
 
3.7%
T 13
 
3.7%
R 11
 
3.1%
G 11
 
3.1%
V 11
 
3.1%
Other values (16) 110
31.0%
Lowercase Letter
ValueCountFrequency (%)
g 67
23.3%
a 35
 
12.2%
x 19
 
6.6%
w 17
 
5.9%
z 11
 
3.8%
b 10
 
3.5%
j 10
 
3.5%
y 10
 
3.5%
v 10
 
3.5%
p 8
 
2.8%
Other values (16) 90
31.4%
Decimal Number
ValueCountFrequency (%)
4 35
36.1%
7 10
 
10.3%
1 10
 
10.3%
5 8
 
8.2%
8 8
 
8.2%
2 7
 
7.2%
6 7
 
7.2%
0 5
 
5.2%
9 5
 
5.2%
3 2
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 642
84.9%
Common 114
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 88
 
13.7%
g 67
 
10.4%
B 36
 
5.6%
a 35
 
5.5%
U 34
 
5.3%
x 19
 
3.0%
w 17
 
2.6%
F 14
 
2.2%
C 14
 
2.2%
E 13
 
2.0%
Other values (42) 305
47.5%
Common
ValueCountFrequency (%)
4 35
30.7%
- 10
 
8.8%
7 10
 
8.8%
1 10
 
8.8%
5 8
 
7.0%
8 8
 
7.0%
2 7
 
6.1%
_ 7
 
6.1%
6 7
 
6.1%
0 5
 
4.4%
Other values (2) 7
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 88
 
11.6%
g 67
 
8.9%
B 36
 
4.8%
4 35
 
4.6%
a 35
 
4.6%
U 34
 
4.5%
x 19
 
2.5%
w 17
 
2.2%
F 14
 
1.9%
C 14
 
1.9%
Other values (54) 397
52.5%

수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-08-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-08-01
2nd row2020-08-01
3rd row2020-08-01
4th row2020-08-01
5th row2020-08-01

Common Values

ValueCountFrequency (%)
2020-08-01 30
100.0%

Length

2023-12-10T23:21:27.906450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:27.989836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-08-01 30
100.0%

작성자별명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:28.141015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.4
Min length2

Characters and Unicode

Total characters192
Distinct characters95
Distinct categories5 ?
Distinct scripts3 ?
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 rowu u
2nd rowDATAVOUCHER
3rd row생물학교수
4th row완주군· YOU TV
5th row강현귀
ValueCountFrequency (%)
u 2
 
4.9%
datavoucher 1
 
2.4%
우심건 1
 
2.4%
정병구 1
 
2.4%
captain 1
 
2.4%
windmark 1
 
2.4%
siskal 1
 
2.4%
dkaoakak 1
 
2.4%
정동진 1
 
2.4%
이도창 1
 
2.4%
Other values (30) 30
73.2%
2023-12-10T23:21:28.453045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
5.7%
a 8
 
4.2%
i 8
 
4.2%
k 7
 
3.6%
n 7
 
3.6%
o 7
 
3.6%
e 5
 
2.6%
이 5
 
2.6%
s 5
 
2.6%
d 5
 
2.6%
Other values (85) 124
64.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 78
40.6%
Other Letter 74
38.5%
Uppercase Letter 26
 
13.5%
Space Separator 11
 
5.7%
Other Punctuation 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
6.8%
동 3
 
4.1%
정 3
 
4.1%
서 2
 
2.7%
원 2
 
2.7%
엠 2
 
2.7%
재 2
 
2.7%
창 2
 
2.7%
현 2
 
2.7%
강 2
 
2.7%
Other values (47) 49
66.2%
Lowercase Letter
ValueCountFrequency (%)
a 8
10.3%
i 8
10.3%
k 7
 
9.0%
n 7
 
9.0%
o 7
 
9.0%
e 5
 
6.4%
s 5
 
6.4%
d 5
 
6.4%
r 4
 
5.1%
u 4
 
5.1%
Other values (10) 18
23.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
11.5%
C 3
11.5%
T 3
11.5%
U 2
7.7%
D 2
7.7%
O 2
7.7%
H 2
7.7%
M 2
7.7%
V 2
7.7%
W 1
 
3.8%
Other values (4) 4
15.4%
Other Punctuation
ValueCountFrequency (%)
· 1
33.3%
. 1
33.3%
! 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 104
54.2%
Hangul 74
38.5%
Common 14
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
6.8%
동 3
 
4.1%
정 3
 
4.1%
서 2
 
2.7%
원 2
 
2.7%
엠 2
 
2.7%
재 2
 
2.7%
창 2
 
2.7%
현 2
 
2.7%
강 2
 
2.7%
Other values (47) 49
66.2%
Latin
ValueCountFrequency (%)
a 8
 
7.7%
i 8
 
7.7%
k 7
 
6.7%
n 7
 
6.7%
o 7
 
6.7%
e 5
 
4.8%
s 5
 
4.8%
d 5
 
4.8%
r 4
 
3.8%
u 4
 
3.8%
Other values (24) 44
42.3%
Common
ValueCountFrequency (%)
11
78.6%
· 1
 
7.1%
. 1
 
7.1%
! 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
60.9%
Hangul 74
38.5%
None 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
 
9.4%
a 8
 
6.8%
i 8
 
6.8%
k 7
 
6.0%
n 7
 
6.0%
o 7
 
6.0%
e 5
 
4.3%
s 5
 
4.3%
d 5
 
4.3%
r 4
 
3.4%
Other values (27) 50
42.7%
Hangul
ValueCountFrequency (%)
이 5
 
6.8%
동 3
 
4.1%
정 3
 
4.1%
서 2
 
2.7%
원 2
 
2.7%
엠 2
 
2.7%
재 2
 
2.7%
창 2
 
2.7%
현 2
 
2.7%
강 2
 
2.7%
Other values (47) 49
66.2%
None
ValueCountFrequency (%)
· 1
100.0%

작성자프로필URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:28.757416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length99
Mean length96.9
Min length95

Characters and Unicode

Total characters2907
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/a/AATXAJyr8tW4KiCYz_IDFV_ku5onAOXJ7GDO5fI-6QBAdQ=s48-c-k-c0xffffffff-no-rj-mo
2nd rowhttps://yt3.ggpht.com/a/AATXAJznJdSBA1v4tAAYYB5_uNzrk-aL6n9XHHCiCAn-=s48-c-k-c0xffffffff-no-rj-mo
3rd rowhttps://yt3.ggpht.com/a/AATXAJyNttGgfop6uN_M1ZOTGBAD3w2UCsY6dYzS6sNnDQ=s48-c-k-c0xffffffff-no-rj-mo
4th rowhttps://yt3.ggpht.com/a/AATXAJyElzj8uCFOt8bslmC8svPNQUlLuGTqie1DUMQF2g=s48-c-k-c0xffffffff-no-rj-mo
5th rowhttps://yt3.ggpht.com/a/AATXAJztrsdLfsoZoaoknTOiRAvW9FHPF1_qIuYi3A=s48-c-k-c0xffffffff-no-rj-mo
ValueCountFrequency (%)
https://yt3.ggpht.com/a/aatxajyr8tw4kicyz_idfv_ku5onaoxj7gdo5fi-6qbadq=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajznjdsba1v4taayyb5_unzrk-al6n9xhhcican-=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajx_0gv-vhnjoxhavhwerjgx_lwi8hw3bwvl5q=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajztjlxcahxubq3sroxovstp31ufo15gc2wpjwpz=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajy4pxlhxgovzirjce9cfwn5n2kcltwxswe07a=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajx7_bm3qbwqoq39o4zuzl9pullmkya2peo84z8q-a=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajws3nvint0btjoaga3zrbkc6hgmdk8nrwjo19osrum=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajyiuddcofakmeakfehvoqpq7uyr-yxgecbup2ka=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajwkku-1jo5_gk2whme1mct-ycdvpampdwaebw=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
https://yt3.ggpht.com/a/aatxajyiret_fqiritben_zioda768wpqbduhqcteg=s48-c-k-c0xffffffff-no-rj-mo 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:29.201836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 257
 
8.8%
- 197
 
6.8%
t 134
 
4.6%
/ 120
 
4.1%
A 118
 
4.1%
o 115
 
4.0%
c 106
 
3.6%
g 86
 
3.0%
p 83
 
2.9%
h 80
 
2.8%
Other values (58) 1611
55.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1534
52.8%
Uppercase Letter 625
21.5%
Decimal Number 290
 
10.0%
Other Punctuation 210
 
7.2%
Dash Punctuation 197
 
6.8%
Math Symbol 30
 
1.0%
Connector Punctuation 21
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 257
16.8%
t 134
 
8.7%
o 115
 
7.5%
c 106
 
6.9%
g 86
 
5.6%
p 83
 
5.4%
h 80
 
5.2%
s 75
 
4.9%
m 72
 
4.7%
y 57
 
3.7%
Other values (16) 469
30.6%
Uppercase Letter
ValueCountFrequency (%)
A 118
18.9%
T 51
 
8.2%
X 49
 
7.8%
J 42
 
6.7%
Q 20
 
3.2%
H 20
 
3.2%
B 19
 
3.0%
U 18
 
2.9%
D 18
 
2.9%
C 18
 
2.9%
Other values (16) 252
40.3%
Decimal Number
ValueCountFrequency (%)
8 53
18.3%
3 50
17.2%
4 43
14.8%
0 40
13.8%
6 24
8.3%
9 18
 
6.2%
1 17
 
5.9%
5 17
 
5.9%
7 17
 
5.9%
2 11
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2159
74.3%
Common 748
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 257
 
11.9%
t 134
 
6.2%
A 118
 
5.5%
o 115
 
5.3%
c 106
 
4.9%
g 86
 
4.0%
p 83
 
3.8%
h 80
 
3.7%
s 75
 
3.5%
m 72
 
3.3%
Other values (42) 1033
47.8%
Common
ValueCountFrequency (%)
- 197
26.3%
/ 120
16.0%
. 60
 
8.0%
8 53
 
7.1%
3 50
 
6.7%
4 43
 
5.7%
0 40
 
5.3%
= 30
 
4.0%
: 30
 
4.0%
6 24
 
3.2%
Other values (6) 101
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 257
 
8.8%
- 197
 
6.8%
t 134
 
4.6%
/ 120
 
4.1%
A 118
 
4.1%
o 115
 
4.0%
c 106
 
3.6%
g 86
 
3.0%
p 83
 
2.9%
h 80
 
2.8%
Other values (58) 1611
55.4%

작성자채널ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:29.510457image/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/UCR03z8Dv35PqtwQXQP1Gr7A
2nd rowhttps://www.youtube.com/channel/UCGFbUlFO3qNN3e-zv276s9w
3rd rowhttps://www.youtube.com/channel/UCA7OI-hVBRQ51-RrMKUn1fQ
4th rowhttps://www.youtube.com/channel/UCS5ANGu3CmvAEw8KJuqXZaw
5th rowhttps://www.youtube.com/channel/UC6AinPeb4kD5n-sNl_x9vMw
ValueCountFrequency (%)
https://www.youtube.com/channel/ucr03z8dv35pqtwqxqp1gr7a 1
 
3.3%
https://www.youtube.com/channel/ucgfbulfo3qnn3e-zv276s9w 1
 
3.3%
https://www.youtube.com/channel/ucsvks0nb4w2_juwmwibuc9a 1
 
3.3%
https://www.youtube.com/channel/ucralfbizzhjrkjldpseiezg 1
 
3.3%
https://www.youtube.com/channel/ucdeioi5zvuvyovem6xn-1zq 1
 
3.3%
https://www.youtube.com/channel/ucwjodbxyitf7uisubdedqmw 1
 
3.3%
https://www.youtube.com/channel/ucdbpm_7wsllkn-ri4hnxccq 1
 
3.3%
https://www.youtube.com/channel/uc3xdlkbo04jiwxixz4zhjxw 1
 
3.3%
https://www.youtube.com/channel/ucfmjysvuuy8jbqlei1-qluq 1
 
3.3%
https://www.youtube.com/channel/ucej_kddukivy_afzupcg5-q 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:21:29.978183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 115
 
6.8%
t 98
 
5.8%
u 73
 
4.3%
e 73
 
4.3%
n 70
 
4.2%
c 69
 
4.1%
h 69
 
4.1%
o 66
 
3.9%
. 60
 
3.6%
Other values (57) 867
51.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1025
61.0%
Uppercase Letter 331
 
19.7%
Other Punctuation 210
 
12.5%
Decimal Number 92
 
5.5%
Dash Punctuation 13
 
0.8%
Connector Punctuation 9
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 115
 
11.2%
t 98
 
9.6%
u 73
 
7.1%
e 73
 
7.1%
n 70
 
6.8%
c 69
 
6.7%
h 69
 
6.7%
o 66
 
6.4%
l 44
 
4.3%
s 41
 
4.0%
Other values (16) 307
30.0%
Uppercase Letter
ValueCountFrequency (%)
U 42
 
12.7%
C 38
 
11.5%
A 18
 
5.4%
Q 16
 
4.8%
X 16
 
4.8%
N 15
 
4.5%
I 14
 
4.2%
D 12
 
3.6%
E 11
 
3.3%
S 11
 
3.3%
Other values (16) 138
41.7%
Decimal Number
ValueCountFrequency (%)
4 14
15.2%
9 12
13.0%
3 11
12.0%
0 11
12.0%
1 10
10.9%
7 8
8.7%
5 8
8.7%
8 8
8.7%
6 6
6.5%
2 4
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1356
80.7%
Common 324
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 115
 
8.5%
t 98
 
7.2%
u 73
 
5.4%
e 73
 
5.4%
n 70
 
5.2%
c 69
 
5.1%
h 69
 
5.1%
o 66
 
4.9%
l 44
 
3.2%
U 42
 
3.1%
Other values (42) 637
47.0%
Common
ValueCountFrequency (%)
/ 120
37.0%
. 60
18.5%
: 30
 
9.3%
4 14
 
4.3%
- 13
 
4.0%
9 12
 
3.7%
3 11
 
3.4%
0 11
 
3.4%
1 10
 
3.1%
_ 9
 
2.8%
Other values (5) 34
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 115
 
6.8%
t 98
 
5.8%
u 73
 
4.3%
e 73
 
4.3%
n 70
 
4.2%
c 69
 
4.1%
h 69
 
4.1%
o 66
 
3.9%
. 60
 
3.6%
Other values (57) 867
51.6%

영상경로명
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:21:30.285259image/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

Unique25 ?
Unique (%)83.3%

Sample

1st rowhttps://www.youtube.com/watch?v=A9e6242Q54o
2nd rowhttps://www.youtube.com/watch?v=EkLjtcuCJNQ
3rd rowhttps://www.youtube.com/watch?v=E9e-iUNrLSI
4th rowhttps://www.youtube.com/watch?v=__1C10t0FCg
5th rowhttps://www.youtube.com/watch?v=XF6F0PYfqBU
ValueCountFrequency (%)
https://www.youtube.com/watch?v=fgnv3pxuiqe 3
 
10.0%
https://www.youtube.com/watch?v=4rpnvbz9g7w 2
 
6.7%
https://www.youtube.com/watch?v=a9e6242q54o 1
 
3.3%
https://www.youtube.com/watch?v=dj_oc7hxbcu 1
 
3.3%
https://www.youtube.com/watch?v=v7ie1tkubmi 1
 
3.3%
https://www.youtube.com/watch?v=4jlecjh5nhc 1
 
3.3%
https://www.youtube.com/watch?v=z10qduti6sm 1
 
3.3%
https://www.youtube.com/watch?v=642x-eqip4m 1
 
3.3%
https://www.youtube.com/watch?v=d4lodhggyem 1
 
3.3%
https://www.youtube.com/watch?v=zdhur7x8lfm 1
 
3.3%
Other values (17) 17
56.7%
2023-12-10T23:21:30.670700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 126
 
9.8%
t 124
 
9.6%
/ 90
 
7.0%
c 70
 
5.4%
u 70
 
5.4%
h 64
 
5.0%
o 62
 
4.8%
. 60
 
4.7%
v 39
 
3.0%
b 36
 
2.8%
Other values (59) 549
42.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 854
66.2%
Other Punctuation 210
 
16.3%
Uppercase Letter 121
 
9.4%
Decimal Number 62
 
4.8%
Math Symbol 30
 
2.3%
Connector Punctuation 8
 
0.6%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 126
14.8%
t 124
14.5%
c 70
 
8.2%
u 70
 
8.2%
h 64
 
7.5%
o 62
 
7.3%
v 39
 
4.6%
b 36
 
4.2%
e 36
 
4.2%
p 32
 
3.7%
Other values (16) 195
22.8%
Uppercase Letter
ValueCountFrequency (%)
G 8
 
6.6%
P 8
 
6.6%
I 8
 
6.6%
F 8
 
6.6%
M 7
 
5.8%
L 7
 
5.8%
E 7
 
5.8%
Q 6
 
5.0%
X 6
 
5.0%
J 5
 
4.1%
Other values (16) 51
42.1%
Decimal Number
ValueCountFrequency (%)
0 10
16.1%
4 9
14.5%
7 8
12.9%
2 6
9.7%
9 6
9.7%
1 6
9.7%
6 6
9.7%
3 4
 
6.5%
8 4
 
6.5%
5 3
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
: 30
 
14.3%
? 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 975
75.6%
Common 315
 
24.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 126
 
12.9%
t 124
 
12.7%
c 70
 
7.2%
u 70
 
7.2%
h 64
 
6.6%
o 62
 
6.4%
v 39
 
4.0%
b 36
 
3.7%
e 36
 
3.7%
p 32
 
3.3%
Other values (42) 316
32.4%
Common
ValueCountFrequency (%)
/ 90
28.6%
. 60
19.0%
: 30
 
9.5%
= 30
 
9.5%
? 30
 
9.5%
0 10
 
3.2%
4 9
 
2.9%
7 8
 
2.5%
_ 8
 
2.5%
2 6
 
1.9%
Other values (7) 34
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 126
 
9.8%
t 124
 
9.6%
/ 90
 
7.0%
c 70
 
5.4%
u 70
 
5.4%
h 64
 
5.0%
o 62
 
4.8%
. 60
 
4.7%
v 39
 
3.0%
b 36
 
2.8%
Other values (59) 549
42.6%

Correlations

2023-12-10T23:21:30.781688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자덧글ID작성자별명작성자프로필URL작성자채널ID영상경로명
이용자덧글ID1.0001.0001.0001.0001.000
작성자별명1.0001.0001.0001.0001.000
작성자프로필URL1.0001.0001.0001.0001.000
작성자채널ID1.0001.0001.0001.0001.000
영상경로명1.0001.0001.0001.0001.000

Missing values

2023-12-10T23:21:27.095787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:21:27.238316image/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

이용자덧글ID수집일자작성자별명작성자프로필URL작성자채널ID영상경로명
0UgyLGXO5idATEUa6wvl4AaABAg2020-08-01u uhttps://yt3.ggpht.com/a/AATXAJyr8tW4KiCYz_IDFV_ku5onAOXJ7GDO5fI-6QBAdQ=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCR03z8Dv35PqtwQXQP1Gr7Ahttps://www.youtube.com/watch?v=A9e6242Q54o
1UgwGcxRufuyT1NHNF9V4AaABAg2020-08-01DATAVOUCHERhttps://yt3.ggpht.com/a/AATXAJznJdSBA1v4tAAYYB5_uNzrk-aL6n9XHHCiCAn-=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCGFbUlFO3qNN3e-zv276s9whttps://www.youtube.com/watch?v=EkLjtcuCJNQ
2UgxSjaJdjvL-6jeFL1Z4AaABAg2020-08-01생물학교수https://yt3.ggpht.com/a/AATXAJyNttGgfop6uN_M1ZOTGBAD3w2UCsY6dYzS6sNnDQ=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCA7OI-hVBRQ51-RrMKUn1fQhttps://www.youtube.com/watch?v=E9e-iUNrLSI
3UgxTze1TeH7P5s4fFmt4AaABAg2020-08-01완주군· YOU TVhttps://yt3.ggpht.com/a/AATXAJyElzj8uCFOt8bslmC8svPNQUlLuGTqie1DUMQF2g=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCS5ANGu3CmvAEw8KJuqXZawhttps://www.youtube.com/watch?v=__1C10t0FCg
4Ugy2_-f_E-qGLFISn-d4AaABAg2020-08-01강현귀https://yt3.ggpht.com/a/AATXAJztrsdLfsoZoaoknTOiRAvW9FHPF1_qIuYi3A=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UC6AinPeb4kD5n-sNl_x9vMwhttps://www.youtube.com/watch?v=XF6F0PYfqBU
5UgjBkTIDSOWCWngCoAEC2020-08-01이헌https://yt3.ggpht.com/a/AATXAJyGFTO6q1jhmxW7_DCoiGEGQJf3mfm5pX4gcg7e=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCgsZhLOaz1St6P4Rv9F3elAhttps://www.youtube.com/watch?v=_zqc8X_-vcU
6Ughk-aCTGAntvngCoAEC2020-08-01여름이온다https://yt3.ggpht.com/a/AATXAJw7DbvHUcQ0gFWS35tIygAtaHTaZ6nkF-UQxcuT=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCtBalr8wsRzXoP0OTXSOXAghttps://www.youtube.com/watch?v=sf0Uc7p92K8
7Ugy6qY4Y7SWD6bPR90l4AaABAg2020-08-01백만원https://yt3.ggpht.com/a/AATXAJxixjLop839ZFHkq4R6alyGJAXds2Q9jTdb8g=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UClgEqfhmsBbJO2w_Q_excQAhttps://www.youtube.com/watch?v=bIf7pJY5jfo
8UgzGFu10iNXKQiSbFKB4AaABAg2020-08-01서남재https://yt3.ggpht.com/a/AATXAJyFgiewx75e1-omHquUynvYU7XSy-9rRuiUzLXlhg=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCnqwWO9nmhNd4sDTUI9Kzdwhttps://www.youtube.com/watch?v=VnR1Jxn0FMk
9UgxpxZyzG0MD1aMwRax4AaABAg2020-08-01Addy Sonhttps://yt3.ggpht.com/a/AATXAJxHLuamPatdHxi8pvG7Kv0EEPtXYrHvvpn3KlUL=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCMh0024mDBJzmar9XVvwHHwhttps://www.youtube.com/watch?v=l4MzQCqwVZ8
이용자덧글ID수집일자작성자별명작성자프로필URL작성자채널ID영상경로명
20UgiCChg1bzwvIHgCoAEC2020-08-01siskal dkaoakakhttps://yt3.ggpht.com/a/AATXAJzcq8q3Bn7QF9vpXEwXb53bAaHfxOBkYRMgTAOucg=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UC4leyCHS1p0hzhxjuzr8vKwhttps://www.youtube.com/watch?v=d4LODHgGyeM
21UgxZvDKa9cB2hRRXxA14AaABAg2020-08-01정동진https://yt3.ggpht.com/a/AATXAJyIreT_fQIRITben_ZIoda768wPqBDUhQcTEg=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCEJ_kDdUKIvY_AfzUpCg5-Qhttps://www.youtube.com/watch?v=642x-eQIP4M
22Ugx5XLcztAglPvROORZ4AaABAg2020-08-01이도창https://yt3.ggpht.com/a/AATXAJwkku-1jo5_GK2WHME1mCT-YcdvpAMPDWaEbw=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCfmJYsVuUY8Jbqlei1-QLUQhttps://www.youtube.com/watch?v=z10Qduti6SM
23UgwLwAfBsnk7wp7T-p54AaABAg2020-08-01wesley ohhttps://yt3.ggpht.com/a/AATXAJyiUddCofAKmeAkfEhVoQpQ7uyr-yXgEcbUP2ka=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UC3xDlKbo04JIwXIxZ4zHJxwhttps://www.youtube.com/watch?v=4JLecjh5nhc
24UgwcsBxa4yLY_FDT8WR4AaABAg2020-08-01Hyoungjun Choihttps://yt3.ggpht.com/a/AATXAJws3NVInt0BTjOagA3zRBKc6hgMdK8nRWJO19osRUM=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCDbpM_7wsllKn-rI4HNXCcQhttps://www.youtube.com/watch?v=v7iE1tKubmI
25UgzQjwtkmcVv5FMwpSB4AaABAg2020-08-01열정계명https://yt3.ggpht.com/a/AATXAJx7_bM3qBWqoq39O4Zuzl9pUlLMKyA2pEo84z8q-A=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCwjoDbXYItf7UIsuBdEdQMwhttps://www.youtube.com/watch?v=FGnv3PXuiqE
26UgwrmzBM6Tx2xnWl-Kl4AaABAg2020-08-01강서원https://yt3.ggpht.com/a/AATXAJy4pXLHxgOVZIRJce9cfWn5N2KCLTwxsWe07A=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCDeioI5zVUVYovem6Xn-1ZQhttps://www.youtube.com/watch?v=FGnv3PXuiqE
27Ugxx_4yfmbY-7j-HrjV4AaABAg2020-08-01창동어르신복지관https://yt3.ggpht.com/a/AATXAJzTjlxCAHxUbQ3SroxovstP31UFO15GC2wpJWPz=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCrALFbIZZHjRkjLDpSEIEzghttps://www.youtube.com/watch?v=FGnv3PXuiqE
28UgyQ21LaCWMg1UetoOJ4AaABAg2020-08-01dreamlover kimhttps://yt3.ggpht.com/a/AATXAJx_0gv-vhNjoxHAVhWeRJgX_LwI8hW3bwvL5Q=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UCSVkS0Nb4w2_juWmwIbuc9Ahttps://www.youtube.com/watch?v=4rPnvbZ9G7w
29Ugw4DThQ-E6ksDUFr8F4AaABAg2020-08-01유상훈https://yt3.ggpht.com/a/AATXAJyzmV1Q6wMWAyaXN9feEVVmp5fchgSAF4Rr3w=s48-c-k-c0xffffffff-no-rj-mohttps://www.youtube.com/channel/UC6cT8ALnnjVFkXXCKtftCtAhttps://www.youtube.com/watch?v=4rPnvbZ9G7w