Can this be built with a card and beast mode without pre aggregating
As the title says can this be built without having to pre aggregate the data via a view or ETL.
I have hourly data for 14 days. 7th Jan 2019 to 20th Jan 2019. data set is much larger but as an example. So the data is datetime and a count figure.
07/01/2019 01:00 6
07/01/2019 02:00 9
07/01/2019 03:00 10
07/01/2019 04:00 12
07/01/2019 05:00 15
08/01/2019 01:00 9
08/01/2019 02:00 33
08/01/2019 03:00 122
08/01/2019 04:00 11
08/01/2019 05:00 66
I need the average count for each day of the week.
So the average for a Monday, Tuesday etc.
I can do this in SQL and I can also do this using the group by in the domo views and ETL by aggregating the data to the day of the week and then using the average in the card builder.
The problem is I want the user to be be able to filter the hours that make up the aggregation on the fly within the card
e.g. just see between midday and 3pm etc.
Does anyone know how I can achieve this as once the group by is done I have lost the hours in the card analyser and using a window function within beast mode won't allow anything like
avg(sum(incount) OVER (partition by DATE(datetime), DAY(datetime))