I am trying to find Api for youtube kids, Youtube offers parameters like safe search but that will not return only results only for kids content. Is there any api available that will only return programs for Kids category.
Youtube-kids app only provides content that is child-friendly and curated for children. Is there any api that could help me get that results.
Some of the videos on Youtube Kids app is characterized under Film & Animation but it doesn't have any category specific to kids content
1 - Film & Animation
2 - Autos & Vehicles
10 - Music
15 - Pets & Animals
17 - Sports
18 - Short Movies
19 - Travel & Events
20 - Gaming
21 - Videoblogging
22 - People & Blogs
23 - Comedy
24 - Entertainment
25 - News & Politics
26 - Howto & Style
27 - Education
28 - Science & Technology
29 - Nonprofits & Activism
30 - Movies
31 - Anime/Animation
32 - Action/Adventure
33 - Classics
34 - Comedy
35 - Documentary
36 - Drama
37 - Family
38 - Foreign
39 - Horror
40 - Sci-Fi/Fantasy
41 - Thriller
42 - Shorts
43 - Shows
44 - Trailers
What should be the approach to capture Kids only content via API ?
Related
I need to identify the sentiments for particular students with particular subjects in the form of:
st_id name subject 1st_Sem 2nd_sem 3rd_Sem 4th_Sem sentiment/output
1894 John English 88 90 64 58 Positive
1894 John Maths 64 30 23 31 Negative
Is there any method in machine learning to identify the sentiment using marksheet
I have the following script:
DROP TABLE IF EXISTS [dbo].[test]
CREATE TABLE [dbo].[test]
(
[Name] [varchar](50) NULL,
[Amount] [int] NULL
)
GO
INSERT INTO [dbo].[test]
(
[Name]
,[Amount]
)
VALUES
('Abc - 20 april to 7 june 2020',25)
,('Abc - 20 april to 7 june 2020',33)
,('Abc - 20 april to 29 june 2020',15)
,('Abc - 20 april to 29 june 2020',55)
,('Abc - 20 april to 10 may 2020',20)
,('Abc - 20 april to 10 may 2020',75)
,('Abc - 20 april to 10 may 2020',89)
GO
SELECT *
FROM [dbo].[test]
The resulting table gives the following results:
Name | Amount
-------------------------------|-------
Abc - 20 april to 7 june 2020 | 25
Abc - 20 april to 7 june 2020 | 33
Abc - 20 april to 29 june 2020 | 15
Abc - 20 april to 29 june 2020 | 55
Abc - 20 april to 10 may 2020 | 20
Abc - 20 april to 10 may 2020 | 75
Abc - 20 april to 10 may 2020 | 89
I would like to be able to determine the most recent end date in the text field and eliminate the repetitive data by grouping it showing the record with the latest end date and aggregating the amount. The result should be a single record with the following data:
Name | Amount
-------------------------------|-------
Abc - 20 april to 29 june 2020 | 312
I've played around with some group bys and text manipulation functions and this is as far as I got using the following code:
select (case when [Name] like '%-%'
then trim(left([Name], charindex('-', reverse([Name])) - 1))
else [Name]
end) as [Name]
,sum(Amount) as Amount
from [dbo].[test]
group by
(case when [Name] like '%-%'
then trim(left([Name], charindex('-', reverse([Name])) - 1))
else [Name]
end)
The above code doesn't really do so much as to just aggregate unique records only. I was looking for something more intelligent that will find and recognize that all of my records really mean the same thing and that the latest end date in the Name field is 29 june 2020 and will only display that single record with the total aggregated Amount.
Any help would be much appreciated.
I'm trying to make a cohort in Excel Pivot with a dataset having:
aggregated number of monthly sign ups (month by month), aggregated number user of completed next step, number of months between sign up and the next action taken.
What I can't figure out when i do the pivot to have the cohort, is what to put into the value field in the pivot? Normally I would take the Customer IDs as value, but since I only have the data on aggregated monthly level I'm not sure if i put the number of sign ups or the number of next step completed?
Also how do I get the sum of each cohort so i can calculated the retention rate?
I hope this make sense.
Signup month Action completed month Months between sign up and action completed signups conversion to Action completed
Jan-17 Sep-18 20 95 71
Jan-17 Jan-18 12 95 77
Jan-17 Jun-18 17 96 72
Jan-17 Jan-18 12 92 78
Jan-17 Dec-18 23 91 78
Jan-17 Jul-18 18 100 73
Jan-17 Oct-18 21 92 79
Jan-17 Feb-18 13 95 70
Jan-17 Jan-18 12 91 79
Jan-17 May-18 16 93 71
Jan-17 Jun-18 17 95 72
Is this what you are looking to achieve?
REVISION #1
This layout shows the total number of signups, by the month in which the signup occurred, distributed by the number of months btwn the signup and action completed. The action completed month may be omitted and will still achieve the same result; it is there FYI only.
REVISION #2
This is an example of the average months between the signup and action. Is this what you are looking for?
I have a DAX formula for my Powerpivot I cannot get to solve and was hoping for help.
I have two pivot tables connected already
Showing a cohort of actions taken within Month 1,….X on the sign up month
Total Sign Ups on monthly basis
I have tried to attached the sheet here but somehow I cant so I have add a screenshot of the sheet.1
What I have so far is:
=DIVIDE(
SUM(Range[conversion to KYC completed]),
SUM('Range 1'[Sum of signups]))
But this does not give me what I want as I think I’m missing the monthly grouping somehow.
Question 1:
What I want is to get the share of actions completed within 1,...,X months out of the total sign up that given month (e.g. Jan) (so the data from Table 2)
Question 2:
In best case I would also like to show total sign ups in the beginning of the cohort to make the cohort easier to understand, so having the monthly total sign up (which the cohort is calculated based on). But now I cannot get just the totals month by month. Is there anyways just to add in a monthly total column in the pivot without applying these number as a value across all columns?
Something like this is the ultimate outcome for me 2
UPDATED WITH SAMPLE DATA
Signup month, KYC completed month, Age by month, signups, conversion to KYC completed
Jan-17 Jul-18 18 97 75
Jan-17 Jul-18 18 99 79
Jan-17 Dec-18 23 95 80
Feb-17 May-18 15 99 74
Feb-17 Jul-18 17 90 75
Feb-17 Jul-18 17 95 76
Feb-17 Aug-18 18 92 71
Mar-17 May-18 14 94 73
Apr-17 Jul-18 15 93 75
May-17 Sep-18 16 94 70
May-17 Oct-18 17 98 72
Jun-17 May-18 11 95 79
Jul-17 Oct-18 15 97 74
Jul-17 Jul-18 12 94 78
Aug-17 Sep-18 13 96 74
Sep-17 Nov-18 14 95 80
Sep-17 Oct-18 13 94 79
DESIRED OUTCOME
The % for Month 1....X is calculated KYC Completed / Monthly Sign up
OUTPUT WITH THIS CODE
=VAR SignUpMonth = IF(HASONEVALUE('Range 1'[Row Labels]), BLANK())
RETURN
DIVIDE(CALCULATE(SUM([conversion to KYC completed])),
CALCULATE(SUM('Range 1'[Sum of signups]),
FILTER(ALL(Range), Range[Signup month (Month Index)] = SignUpMonth)))
[
Thanks for the sample data Franzi. Still not too clear what you're asking for, but perhaps this will help a little.
Signed Up to Signed In Ratio =
VAR SignUpMonth = SELECTEDVALUE(Table1[Signup month], BLANK())
RETURN
DIVIDE(CALCULATE(SUM([conversion to KYC completed])),
CALCULATE(SUM(Table1[ signups]),
FILTER(ALL(Table1), Table1[Signup month] = SignUpMonth)))
So. Let's break it down.
If I understand correct, you want to see the cross section of number of signins for a given month ( x axis ) signup combo ( y axis ) and divide that number by the total signups ( y axis ) per signup month.
number of signins for a given month ( x axis ) signup combo ( y axis ):
CALCULATE(SUM([conversion to KYC completed]))
TOTAL signups ( y axis ) per signup month
CALCULATE(SUM(Table1[ signups]),
FILTER(ALL(Table1), Table1[Signup month] = SignUpMonth))
Dataset Sample
I have data set like the attached picture where I want only the observations that have same numsecur every year.
How do I do this in SAS proc sql function? Will this be easier to do in STATA? If so what procedure can I use?
You look like a new user to stackoverflow. Welcome. Your question is getting down voted for at least three reasons:
1) It's not really clear what you want from your description of the problem and the data
you're providing
2) You haven't shown any attempts at what you've tried
3) Providing your data as a picture is not great. It's most helpful if you're going
to provide data to provide it so it's easy for others to consume in their program.
After all, you're asking for our help make it easier for us to help you. If You
included something like the following we just have to copy and paste to create your
dataset to work with:
DATA test;
INPUT ID YEAR EXEC SUM;
DATALINES;
1573 1997 50 1080
1581 1997 51 300
1598 1996 54 80
1598 1998 54 80
1598 1999 54 80
1602 1996 55 112.6
1602 1997 55 335.965
;
RUN;
That being said the following MAY give you what you're looking for but it's only a guess as I'm not sure if this is really what you're asking:
proc sql no print;
create table testout as
select *,count(*) as cnt
from test
group by sum
having cnt > 1;
quit;
Are you asking: show all rows where the same SUM is used or something else?
Assuming I understand your question correctly, you would like to keep the observations from the same company/individual only if the company has the same numsecur every year. So, here is what I would try using STATA:
input ID YEAR EXEC SUM
1573 1997 50 1080 //
1581 1997 51 300 //
1598 1996 54 80 //
1598 1998 54 80 //
1598 1999 54 80 //
1602 1996 55 112.6 //
1602 1997 55 335.965 //
1575 1997 50 1080 //
1575 1998 51 1080 //
1595 1996 54 80 //
1595 1998 54 30 //
1595 1999 54 80 //
1605 1996 55 112.6 //
1605 1997 55 335.965 //
end
bysort ID SUM: gen drop=cond(_N==1, 0,_n)
drop if drop==0
The results show ( based on my data):
ID YEAR EXEC SUM drop
1. 1575 1997 50 1080 1
2. 1575 1998 51 1080 2
3. 1595 1999 54 80 1
4. 1595 1996 54 80 2
5. 1598 1996 54 80 1
6. 1598 1998 54 80 2
7. 1598 1999 54 80 3