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I am new to DAX and am learning my way around, so please pardon me if I ask several questions about it. I have attempted to look this up and have gotten a little ways to where I need to be but not exactly. I think I am confused about how to apply a filter.
Here's the situation:
The "skeleton" of the code I have is basically just to see if I can get a count to work at all, which I can. It's the FILTER that I think is the problem (not used in the below example) judging by other threads I've read.
TotalDisplays = CALCULATE(COUNTA(products[Brand]))
Obviously I can't just count the amount of times a brand appears as that would give me duplicates. I need it unique based on if the following conditions are met:
If so, we distinctly count it as one.
I know I ranted a bit and may seem to have gone in circles, but I was trying to figure out how to explain it. Please let me know if I need to edit this post or post clarification.
Many thanks in advance as I go through my journey with DAX!
Regards,
Derek
Solved! Go to Solution.
Thanks! You got me on the right track. It didn't quite work, but I was able to figure it out:
I believe I have the answer. I used a NATURALINNERJOIN in DAX to create a new, merged table since I needed to reference all values in the same query (couldn't figure out how to do it otherwise). I also created an "unique identity" calculated column that combined data from multiple rows, but was hidden behind the scenes (not actually displayed on the report) so I could then take a measure of the unique values that way.
TotalDisplays = COUNTROWS(DISTINCT('GD-DP-Merge'[DisplayCountCalcCol]))
My calculated column is as follows:
DisplayCountCalcCol = 'GD-DP-Merge'[CustID] & 'GD-DP-Merge'[Brand] & 'GD-DP-Merge'[Location] & 'GD-DP-Merge'[Order#]
So the measure TotalDisplays now reports back the distinct count of rows based on the unique value of the customer ID, the brand, and the location of the item. I also threw in an order number just in case.
Thanks!
Hi Derek,
The table visual brings the distinct values together by default. So we can count the rows with any column of the three like this:
Measure 1 = DISTINCTCOUNT ( Table1[Customer] )
But the total value could be wrong. The upgraded formula would be:
Measure 2 = COUNTROWS ( DISTINCT ( SELECTCOLUMNS ( Table1, "Barnd", [Brand], "Location", [Location], "Customer", [Customer] ) ) )
Best Regards!
Dale
Thanks! You got me on the right track. It didn't quite work, but I was able to figure it out:
I believe I have the answer. I used a NATURALINNERJOIN in DAX to create a new, merged table since I needed to reference all values in the same query (couldn't figure out how to do it otherwise). I also created an "unique identity" calculated column that combined data from multiple rows, but was hidden behind the scenes (not actually displayed on the report) so I could then take a measure of the unique values that way.
TotalDisplays = COUNTROWS(DISTINCT('GD-DP-Merge'[DisplayCountCalcCol]))
My calculated column is as follows:
DisplayCountCalcCol = 'GD-DP-Merge'[CustID] & 'GD-DP-Merge'[Brand] & 'GD-DP-Merge'[Location] & 'GD-DP-Merge'[Order#]
So the measure TotalDisplays now reports back the distinct count of rows based on the unique value of the customer ID, the brand, and the location of the item. I also threw in an order number just in case.
Thanks!
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