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I need help translating this query to DAX:
select sum(true_total) as physician_values, p.physician_id
from orders as o inner join prescriptions as p
on cast(o.purchased_on as date) <= p.script_end and cast(o.purchased_on as date) >= p.script_start and o.client_id = p.client_id
group by p.physician_id;
I tried using DirectQuery but I was having trouble slicing the data by date.
Hi @dennis_yin,
The measure could be like below. If you need a more precise solution, please provide a dummy sample.
The o.client_id = p.client_id part will be achieved by the relationship.
Measure = CALCULATE ( SUM ( orders[true_total] ), FILTER ( orders, orders[purchased_on] <= MIN ( prescriptions[script_end] ) && orders[purchased_on] >= MIN ( prescriptions[script_start] ) ) )
Best Regards,
Dale
Thanks for the reply Dale, but I realize now that I didn't properly explain what I'm trying to do. I need the sum of orders[true_total] for each unique physician, and I need to be able to filter valid prescriptions by a given date. So then if a user chooses September 1 with the date slicer, the true_total value for each physician only reflects prescriptions with a start date <= September 1, and an expiry date >= September 1.
Hi @dennis_yin,
Please share a dummy sample.
Best Regards,
Dale
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