Forum Discussion
Understanding summarizing order lines
Hello,
I am rather new to Power BI and I am missing something elementary.
I have a table with a lot of order lines and several dimensions (date, region, item category, item characateristic 1, item characateristic 2, ..). I am sure the relations are OK. Each order line has an amount / value. I would like to use the slicer to select the order lines on their property and get the sum of all values with that specific slicer filter.
Here I am stuck: the total value at the bottom is fine and represents the value according my selection. However, in the table, on each line, the amount shown is not correct. Here it gives totals, not taking into account all amounts that are filtered.
The bottom total is perfect. But the totals on each single line are not representing the slicer totals.
I am looking for the behavior that the column with the amount neatly adds up to the total.
I have learnt a lot reading this forum and made nice other calculations.. but did not solve my problem 🙂
What am I missing here?
Stefan
I solved it. I'm stupid. I was so convinced all relations were OK, .. BUT there was a relation indicated as "not active". I simply clicked it, and it worked. I don't know why it was not active.
7 Replies
Power BI is going to aggregate rows as much as possible. If you want to see individual lines, then the lines need to have all the fields that represent a unique row. This is most easily achieved if you have distinct key or index for each row that you include in your visual
Sorry, I need to clarify better, and I really don't understand what you mean.
Here's my table :
The bottom total is perfect. But the totals on each single line are not representing the slicer totals.
I am looking for the beahvior that the column neatly adds up to the total.
Can you share the data model view and the measure definition please
My fact table has :
DeliveryDate
Property 1
Property 2
Country
ProdCategory
CustomerNo
DeliveryMehod
ItemReferenceNo+ SUM('salesOrderLines (advanced APIs)'[amount]))
Each column is directly related to its corresponding dimension table using a 1 to many relation.
I use the dimension tables for the filters.
Hi stefanvermeulen,
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