Using Window recipe and moving average
Hi  I am not sure that I understand how the window recipe works in terms of getting a moving average for the prior 3 months of data and I am hoping this can be clarified for me or there is a solution to what I want to do.
I attached a test_window.csv file that has 3 columns  id, month_year and total_hours.
What I want to do is get an average of the prior three months  see the last column of values I expect to see. Instead, I am not exactly sure what is being calculated (see test_window_prepared_windows.csv).
Thank you in advance for all the help!
id  month_year  total_hours  prior 3 month avg 
E123  20180101T00:00:00.000Z  0  0 
E123  20180201T00:00:00.000Z  2  0 
E123  20180301T00:00:00.000Z  95  1 
E123  20180501T00:00:00.000Z  7.5  32 
E123  20180601T00:00:00.000Z  25  35 
E123  20180701T00:00:00.000Z  63  43 
Best Answer

Ignacio_Toledo Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Neuron 2020, Neuron, Registered, Dataiku Frontrunner Awards 2021 Finalist, Neuron 2021, Neuron 2022, Frontrunner 2022 Finalist, Frontrunner 2022 Winner, Dataiku Frontrunner Awards 2021 Participant, Frontrunner 2022 Participant, Neuron 2023 Posts: 412 Neuron
Hi @aw30
. The window logic, using any kind of tool (not only DSS), always confuses me and I've to go for a trial and error approach to try to understand it.In this case you need to do a minor modification to your recipe to get the result you want:
So, besides limiting the number of preceding rows, you also had to limit the number of the following rows, and to limit to '1', so the current row is not taken into account in the average calculated.
Before doing that, and by check the output you provided, the logic of the window recipe went like "group together all entries with the same id and order them by month. Then for each row, take the average of ALL the entries in the group after removing the entries that of rows that are 4 steps or more behind"
So for the first row of group with id E123, the average is taken over all the values (502.5/11 = 45.68), including the value of the first row; moving to the next row nothing changes, so again you get the same value, and the same for the 3rd and 4th row. For the 5th, your window constraint is applied, and the first value is removed, and now the average is 502.5/10 = 50.25, and the 6th row is 500.5/9 = 55.61, and so on.
Hope this helps!
Answers

Hi thank you for the explanation this works!

Ignacio_Toledo Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Neuron 2020, Neuron, Registered, Dataiku Frontrunner Awards 2021 Finalist, Neuron 2021, Neuron 2022, Frontrunner 2022 Finalist, Frontrunner 2022 Winner, Dataiku Frontrunner Awards 2021 Participant, Frontrunner 2022 Participant, Neuron 2023 Posts: 412 Neuron
My pleasure @aw30
! 
Can I use the built in window logic to get a 7 day rolling average?
To get a rolling average I have been using a Python script but would rather use Dataiku features.
I posted by python script in this thread: https://community.dataiku.com/t5/UsingDataikuDSS/HowcanIcomputeanexponentialmovingaverageinapreparation/mp/275 
Ignacio_Toledo Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Neuron 2020, Neuron, Registered, Dataiku Frontrunner Awards 2021 Finalist, Neuron 2021, Neuron 2022, Frontrunner 2022 Finalist, Frontrunner 2022 Winner, Dataiku Frontrunner Awards 2021 Participant, Frontrunner 2022 Participant, Neuron 2023 Posts: 412 Neuron
Hi @7TonRobot
. I would say that yes, of course you could use it! In that case, depending on how you define the 7 day rolling average. From your python script, you are using the .rolling() method with the default options, where according to the pandas documentation "the result is set to the right edge of the window". This means that you should set the "Limiting Preceding rows" to 6 and "Limiting following rows" to 0.Cheers!

Hi Ignacio,
Thank you for this explanation, like you, I have to do things by trial and error.
I'm trying to use a windows recipe to calculate the 4 week moving average. I set my WINDOW FRAME to limit preceding rows (3) and limit following rows (0). It gives me the expected moving average. However, my first 3 rows still have results. How can I give those rows a value of zero(0) since they aren't using the full 4 weeks in the calculation?I feel like I have tried everything and I cannot figure it out.
Thanks for your help!