Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory46.4 B

Variable types

Text2
DateTime1
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/44bc4c3b-a071-446f-af61-370bb8cca862

Alerts

참여채널수집일자 has constant value ""Constant
수 is highly overall correlated with 채널채널조회수High correlation
채널채널조회수 is highly overall correlated with 수High correlation
참여채널경로명 has unique valuesUnique
수 has unique valuesUnique
채널채널조회수 has unique valuesUnique
채널채널명 has unique valuesUnique
수 has 1 (3.3%) zerosZeros
채널채널조회수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:11:09.315376
Analysis finished2023-12-10 14:11:10.699868
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

참여채널경로명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:11:11.107821image/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/UCJz-yzuop09u0M17oCMdi2A
2nd rowhttps://www.youtube.com/channel/UC2pq2pfYqLXSGh4ryIfoMdg
3rd rowhttps://www.youtube.com/channel/UCnrPF6de3KuHZy3c2ZkqcMA
4th rowhttps://www.youtube.com/channel/UCVuNSSnNg8BTbZwaTeBzXdA
5th rowhttps://www.youtube.com/channel/UCKgWbt6D7Hy9xnvJjAN_4Ug
ValueCountFrequency (%)
https://www.youtube.com/channel/ucjz-yzuop09u0m17ocmdi2a 1
 
3.3%
https://www.youtube.com/channel/uc2pq2pfyqlxsgh4ryifomdg 1
 
3.3%
https://www.youtube.com/channel/ucsuz7amaob56wsqgpqunefa 1
 
3.3%
https://www.youtube.com/channel/ucb0hqs8zw8qhkkpyp6dfy0g 1
 
3.3%
https://www.youtube.com/channel/uc9hupc-qo7mufw4ofckwwnw 1
 
3.3%
https://www.youtube.com/channel/ucueebclgesoagtbc3ezfavg 1
 
3.3%
https://www.youtube.com/channel/uccv5wvp85ob-vx_ewphex-w 1
 
3.3%
https://www.youtube.com/channel/ucxvx64o-lj9m4co9zm6druq 1
 
3.3%
https://www.youtube.com/channel/uc9wajb9xafyu8oz9_fcpfdq 1
 
3.3%
https://www.youtube.com/channel/ucw0dk4y2ev-3clla7mdcila 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:11:12.159881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 107
 
6.4%
t 94
 
5.6%
e 75
 
4.5%
o 75
 
4.5%
u 75
 
4.5%
n 71
 
4.2%
c 68
 
4.0%
h 68
 
4.0%
. 60
 
3.6%
Other values (57) 867
51.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1019
60.7%
Uppercase Letter 324
 
19.3%
Other Punctuation 210
 
12.5%
Decimal Number 104
 
6.2%
Dash Punctuation 12
 
0.7%
Connector Punctuation 11
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 107
 
10.5%
t 94
 
9.2%
e 75
 
7.4%
o 75
 
7.4%
u 75
 
7.4%
n 71
 
7.0%
c 68
 
6.7%
h 68
 
6.7%
y 44
 
4.3%
p 42
 
4.1%
Other values (16) 300
29.4%
Uppercase Letter
ValueCountFrequency (%)
U 40
 
12.3%
C 37
 
11.4%
A 17
 
5.2%
Q 15
 
4.6%
H 14
 
4.3%
F 13
 
4.0%
M 13
 
4.0%
V 12
 
3.7%
E 12
 
3.7%
R 12
 
3.7%
Other values (16) 139
42.9%
Decimal Number
ValueCountFrequency (%)
6 13
12.5%
2 13
12.5%
9 13
12.5%
4 12
11.5%
0 12
11.5%
8 11
10.6%
7 11
10.6%
3 9
8.7%
5 5
 
4.8%
1 5
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

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

Most frequent character per script

Latin
ValueCountFrequency (%)
w 107
 
8.0%
t 94
 
7.0%
e 75
 
5.6%
o 75
 
5.6%
u 75
 
5.6%
n 71
 
5.3%
c 68
 
5.1%
h 68
 
5.1%
y 44
 
3.3%
p 42
 
3.1%
Other values (42) 624
46.5%
Common
ValueCountFrequency (%)
/ 120
35.6%
. 60
17.8%
: 30
 
8.9%
6 13
 
3.9%
2 13
 
3.9%
9 13
 
3.9%
- 12
 
3.6%
4 12
 
3.6%
0 12
 
3.6%
8 11
 
3.3%
Other values (5) 41
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 107
 
6.4%
t 94
 
5.6%
e 75
 
4.5%
o 75
 
4.5%
u 75
 
4.5%
n 71
 
4.2%
c 68
 
4.0%
h 68
 
4.0%
. 60
 
3.6%
Other values (57) 867
51.6%

참여채널수집일자
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
2023-12-10T23:11:12.587890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:12.770581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.13333
Minimum0
Maximum993
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:11:12.974382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.15
Q153.5
median140.5
Q3216
95-th percentile421.7
Maximum993
Range993
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation192.7179
Coefficient of variation (CV)1.0879821
Kurtosis10.776319
Mean177.13333
Median Absolute Deviation (MAD)86.5
Skewness2.8583538
Sum5314
Variance37140.189
MonotonicityNot monotonic
2023-12-10T23:11:13.216738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
155 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
53 1
 
3.3%
138 1
 
3.3%
189 1
 
3.3%
55 1
 
3.3%
50 1
 
3.3%
283 1
 
3.3%
65 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
16 1
3.3%
23 1
3.3%
24 1
3.3%
38 1
3.3%
39 1
3.3%
50 1
3.3%
53 1
3.3%
55 1
3.3%
65 1
3.3%
ValueCountFrequency (%)
993 1
3.3%
491 1
3.3%
337 1
3.3%
323 1
3.3%
315 1
3.3%
283 1
3.3%
237 1
3.3%
217 1
3.3%
213 1
3.3%
189 1
3.3%

채널채널조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68439432
Minimum0
Maximum9.1669911 × 108
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:11:13.435413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13527.1
Q1195269.75
median3463573.5
Q317644880
95-th percentile4.4604647 × 108
Maximum9.1669911 × 108
Range9.1669911 × 108
Interquartile range (IQR)17449610

Descriptive statistics

Standard deviation2.0013893 × 108
Coefficient of variation (CV)2.9243219
Kurtosis13.090585
Mean68439432
Median Absolute Deviation (MAD)3437741
Skewness3.6338449
Sum2.053183 × 109
Variance4.0055591 × 1016
MonotonicityNot monotonic
2023-12-10T23:11:13.676208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1520392 1
 
3.3%
7086747 1
 
3.3%
30065 1
 
3.3%
53281 1
 
3.3%
143864 1
 
3.3%
18255025 1
 
3.3%
925750 1
 
3.3%
104400 1
 
3.3%
62796694 1
 
3.3%
1272792 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
6922 1
3.3%
21600 1
3.3%
30065 1
3.3%
53281 1
3.3%
104400 1
3.3%
143864 1
3.3%
161033 1
3.3%
297980 1
3.3%
306358 1
3.3%
ValueCountFrequency (%)
916699108 1
3.3%
634568550 1
3.3%
215630601 1
3.3%
65974721 1
3.3%
62796694 1
3.3%
53997396 1
3.3%
24112036 1
3.3%
18255025 1
3.3%
15814446 1
3.3%
8086827 1
3.3%

채널채널명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:11:14.196469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length10.733333
Min length3

Characters and Unicode

Total characters322
Distinct characters137
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 rowSONGHYUNC FILM
2nd rowoppa coreano
3rd row기획재정부
4th row서울시립대학교종합사회복지관
5th row정원이의 여행일기Jeongwon Traveler
ValueCountFrequency (%)
ori 2
 
3.4%
songhyunc 1
 
1.7%
김하딩의 1
 
1.7%
잉화 1
 
1.7%
다이어트하는쿠몬 1
 
1.7%
coomon 1
 
1.7%
diet 1
 
1.7%
녹색사업단 1
 
1.7%
크뇽tv 1
 
1.7%
예스잼미 1
 
1.7%
Other values (47) 47
81.0%
2023-12-10T23:11:15.059206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
8.7%
a 12
 
3.7%
e 12
 
3.7%
o 12
 
3.7%
n 10
 
3.1%
O 6
 
1.9%
T 6
 
1.9%
이 6
 
1.9%
S 5
 
1.6%
t 5
 
1.6%
Other values (127) 220
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
37.6%
Lowercase Letter 98
30.4%
Uppercase Letter 72
22.4%
Space Separator 28
 
8.7%
Decimal Number 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
5.0%
시 4
 
3.3%
김 4
 
3.3%
사 4
 
3.3%
대 3
 
2.5%
의 3
 
2.5%
미 3
 
2.5%
다 3
 
2.5%
하 3
 
2.5%
기 3
 
2.5%
Other values (77) 85
70.2%
Lowercase Letter
ValueCountFrequency (%)
a 12
12.2%
e 12
12.2%
o 12
12.2%
n 10
10.2%
t 5
 
5.1%
k 5
 
5.1%
i 5
 
5.1%
r 5
 
5.1%
m 4
 
4.1%
u 4
 
4.1%
Other values (13) 24
24.5%
Uppercase Letter
ValueCountFrequency (%)
O 6
 
8.3%
T 6
 
8.3%
S 5
 
6.9%
A 5
 
6.9%
R 5
 
6.9%
L 5
 
6.9%
I 5
 
6.9%
M 4
 
5.6%
N 4
 
5.6%
G 4
 
5.6%
Other values (13) 23
31.9%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
0 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 170
52.8%
Hangul 121
37.6%
Common 31
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
5.0%
시 4
 
3.3%
김 4
 
3.3%
사 4
 
3.3%
대 3
 
2.5%
의 3
 
2.5%
미 3
 
2.5%
다 3
 
2.5%
하 3
 
2.5%
기 3
 
2.5%
Other values (77) 85
70.2%
Latin
ValueCountFrequency (%)
a 12
 
7.1%
e 12
 
7.1%
o 12
 
7.1%
n 10
 
5.9%
O 6
 
3.5%
T 6
 
3.5%
S 5
 
2.9%
t 5
 
2.9%
k 5
 
2.9%
i 5
 
2.9%
Other values (36) 92
54.1%
Common
ValueCountFrequency (%)
28
90.3%
1 1
 
3.2%
0 1
 
3.2%
2 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 201
62.4%
Hangul 121
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
 
13.9%
a 12
 
6.0%
e 12
 
6.0%
o 12
 
6.0%
n 10
 
5.0%
O 6
 
3.0%
T 6
 
3.0%
S 5
 
2.5%
t 5
 
2.5%
k 5
 
2.5%
Other values (40) 100
49.8%
Hangul
ValueCountFrequency (%)
이 6
 
5.0%
시 4
 
3.3%
김 4
 
3.3%
사 4
 
3.3%
대 3
 
2.5%
의 3
 
2.5%
미 3
 
2.5%
다 3
 
2.5%
하 3
 
2.5%
기 3
 
2.5%
Other values (77) 85
70.2%

Interactions

2023-12-10T23:11:09.881311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:09.613232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:10.026252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:09.739292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:11:15.224189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여채널경로명수채널채널조회수채널채널명
참여채널경로명1.0001.0001.0001.000
수1.0001.0000.7531.000
채널채널조회수1.0000.7531.0001.000
채널채널명1.0001.0001.0001.000
2023-12-10T23:11:15.404262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수채널채널조회수
수1.0000.756
채널채널조회수0.7561.000

Missing values

2023-12-10T23:11:10.263762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:11:10.620576image/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

참여채널경로명참여채널수집일자수채널채널조회수채널채널명
0https://www.youtube.com/channel/UCJz-yzuop09u0M17oCMdi2A2020-12-101551520392SONGHYUNC FILM
1https://www.youtube.com/channel/UC2pq2pfYqLXSGh4ryIfoMdg2020-12-101204105760oppa coreano
2https://www.youtube.com/channel/UCnrPF6de3KuHZy3c2ZkqcMA2020-12-1099324112036기획재정부
3https://www.youtube.com/channel/UCVuNSSnNg8BTbZwaTeBzXdA2020-12-10396922서울시립대학교종합사회복지관
4https://www.youtube.com/channel/UCKgWbt6D7Hy9xnvJjAN_4Ug2020-12-101493147467정원이의 여행일기Jeongwon Traveler
5https://www.youtube.com/channel/UC9RGd31vRfzDuLE_NH6nYpg2020-12-1023765974721김덕배 이야기
6https://www.youtube.com/channel/UCUbL5EMa0gHIMFIxkdtqy7A2020-12-1000게임창고
7https://www.youtube.com/channel/UCGohwmhhQEGv2uJ410FhfkQ2020-12-102132775078ORI ORI
8https://www.youtube.com/channel/UCAoyR-sL6B0S93AMR-HVTvg2020-12-1021753997396떡볶퀸 Tteokbokqueen
9https://www.youtube.com/channel/UCYPf4P4Dp-wueB_82VTg2Jw2020-12-1016297980은비로운 생활 Eunbi
참여채널경로명참여채널수집일자수채널채널조회수채널채널명
20https://www.youtube.com/channel/UCW8ejls4SFrreNRIpEM86Fw2020-12-103153779680육사시미
21https://www.youtube.com/channel/UCW0dK4y2eV-3CllA7MdCILA2020-12-10112306358목포시
22https://www.youtube.com/channel/UC9Wajb9XAFyU8OZ9_fcpfdQ2020-12-10651272792시현하다 RECORDERS
23https://www.youtube.com/channel/UCxvX64o-lJ9m4Co9zm6druQ2020-12-1028362796694예소리SSOL
24https://www.youtube.com/channel/UCcV5wvP85Ob-Vx_EWpHeX-w2020-12-1050104400김하딩의 랜선다이어리
25https://www.youtube.com/channel/UCueeBCLgeSoaGTbc3ezfAvg2020-12-1055925750김목사 pastor kim
26https://www.youtube.com/channel/UC9HUPC-qo7mUfW4ofckWWNw2020-12-1018918255025Ivan Lam
27https://www.youtube.com/channel/UCb0Hqs8zw8QhkKPYP6dFy0g2020-12-10138143864진도군
28https://www.youtube.com/channel/UCsUZ7AMaOB56WsQgpQUNefA2020-12-105353281통일전망대 x 김팀장의 북한확대경
29https://www.youtube.com/channel/UCFyo2vDEMkBp6_NQlk-YzoQ2020-12-102330065102 LAB