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Hi, I am stuck
here is my issue
i have a table1 of items with 2 columns :
item, date-ref
There is no duplicate in that table1
and a table2 of sale transactions
tr_id, date-sale, item, qty
In this table2, only tr_id is unique
Tables are linked with item field
I want to create a measure1 counting for each date-sale the number of items in table2 where date-sale>=date-ref
ultimately, I will produce a table like this
date-sale, item, measure1
any idea ?
thanks for your help
regards
Marc
Solved! Go to Solution.
Hi marcp
I am a bit new to this, and there is probably a more straight-forward way. I suggest the following steps:
Make a query from table 2
merge table 1 based on item
expand columns to include the ref date
Add a column that says "Keep" if the date-sale is >= ref date or "Drop" otherwise
Filter the new column to keep the "Keep" values
Group by date-sale and item, making a column called measure1 that counts rows
I think that should get you where you want to be.
kingcondie
Hi,
Share your datasets and show the expected result.
back to work
i'll try to implement it
Hi marcp
I am a bit new to this, and there is probably a more straight-forward way. I suggest the following steps:
Make a query from table 2
merge table 1 based on item
expand columns to include the ref date
Add a column that says "Keep" if the date-sale is >= ref date or "Drop" otherwise
Filter the new column to keep the "Keep" values
Group by date-sale and item, making a column called measure1 that counts rows
I think that should get you where you want to be.
kingcondie
Hi
Thank you very much Kingcondie !
It works fine
I can't share proprietary datas but your method solved my issue 🙂
Regards
Marc
Hi Kingcondie
Thank you for your answers. This method makes sense. I’ll try it on Monday.
I wonder if a magic Dax formula can do it too.
Regards
Marc
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