Want to show a rolling average for your data, but not the granular breakdown? We can use the average window function to run this calculation.
First, I created a CTE that contains the number of new users per day on a fictional gaming platform. If you want to read more on CTEs, check out our post here!
with new_users as ( select [created_at:date] as created_date , count(*) as number_users from users group by 1 order by 1 )
Next, we run this window function to get a rolling average from the preceding 9 rows to the current row. To read more on window function, check out this post here!
avg(number_users) over(order by created_date rows 9 preceding) as rolling_avg
Putting everything together:
with new_users as ( select [created_at:date] as created_date , count(*) as number_users from users group by 1 order by 1 ) select created_date , number_users , avg(number_users) over(order by created_date rows 9 preceding) as rolling_avg from new_users
Now, we can plot only the rolling average line, as shown here:
Tip: If you want to display both the raw data and the rolling average, Periscope's built-in visualizations has a quick "Show Rolling Average" check box that you can toggle on.
If your version of SQL doesn't support window functions, then you can use Sisense for Cloud Data Teams' Python/R integration to run the same calculation in R (as shown here), or using Python (shown here).
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