Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Hi all,
I need to use the following DAX function in a Power Query custom column since I get a "circular dependency" when trying to relate an index column to the calculated one.
Period = CALCULATE( VALUES('Time Periods'[Time Period Code]), FILTER( 'Time Periods', 'Time Periods'[Start Date] >= EARLIER( 'Due Dates Cube'[Due Date] ) && 'Time Periods'[End Date] <= EARLIER( 'Due Dates Cube'[Due Date] ) ) )
How would you achieve this goal? Thanks in advance.
Regards,
Martin
Solved! Go to Solution.
Hey,
I'm wondering what you want to achieve, your DAX formula look somewhat odd.
Basically VALUES() returns a table, if this table contains just one row and one column its result can be automatically converted to a scalar value. Based on the filter I would guess that in some conditions it could be possible that there are more rows than just one.
For this reason, can you please explain in more detail what you want to achieve and you may also consider to provide an xlsx file with sample data, upload the file to onedrive or dropbox and share the link.
Regards,
Tom
Thank you for replying. I just solved by using another way (a non-best practice one).
But, just in case, I needed to evaluate a "expiration date" column based on two columns from another table like (days before and days after😞
According to previous image, I wanted to calculate '1st table'[Period ID] where '1st table'[Expiration Date] is between Duration.Days(DateTime.LocalNow()) + '2nd table'[Days Before] and Duration.Days(DateTime.LocalNow()) + '2nd table Days After'.
But I just deleted Days before and Days after columns, to add a conditional column "Period ID" to do the calculation manually.
Hey,
I'm wondering what you want to achieve, your DAX formula look somewhat odd.
Basically VALUES() returns a table, if this table contains just one row and one column its result can be automatically converted to a scalar value. Based on the filter I would guess that in some conditions it could be possible that there are more rows than just one.
For this reason, can you please explain in more detail what you want to achieve and you may also consider to provide an xlsx file with sample data, upload the file to onedrive or dropbox and share the link.
Regards,
Tom
Thank you for replying. I just solved by using another way (a non-best practice one).
But, just in case, I needed to evaluate a "expiration date" column based on two columns from another table like (days before and days after😞
According to previous image, I wanted to calculate '1st table'[Period ID] where '1st table'[Expiration Date] is between Duration.Days(DateTime.LocalNow()) + '2nd table'[Days Before] and Duration.Days(DateTime.LocalNow()) + '2nd table Days After'.
But I just deleted Days before and Days after columns, to add a conditional column "Period ID" to do the calculation manually.
User | Count |
---|---|
140 | |
113 | |
104 | |
76 | |
63 |
User | Count |
---|---|
135 | |
126 | |
110 | |
70 | |
61 |