Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers!
Enter the sweepstakes now!Prepping for a Fabric certification exam? Join us for a live prep session with exam experts to learn how to pass the exam. Register now.
Hi there friends,
I have data like below:
IDPerson | Job type | Job option | Job category | Hourly rate | Average rate |
134 | Type 1 | Option 1 | On-site | 60 | 58,33 |
135 | Type 2 | Option 1 | On-site | 55 | 58,33 |
136 | Type 1 | Option 1 | On-site | 75 | 58,33 |
137 | Type 4 | Option 4 | Remote | 40 | 58,33 |
138 | Type 1 | Option 3 | Remote | 60 | 58,33 |
139 | Type 5 | Option 1 | On-site | 60 | 58,33 |
What would be the best way, in DAX, to get the average based on matching columns? So instead of a general average of the hourly rate calculated over all rows, i need the average to be calculated based on matching columns (aside from the person ID). So the average in the first row should be calculated for rows where job type = Type 1, job option = Option 1, category = On-site.
What's the best way to accomplish this? I'm stumped.
Cheers in advance!
Solved! Go to Solution.
Hi @JGroothedde - create a below calculated column that dynamically calculates the average for each row based on the specified conditions
calculated column:
Hope it helps
Did I answer your question? Mark my post as a solution! This will help others on the forum!
Appreciate your Kudos!!
Proud to be a Super User! | |
Hi @JGroothedde - create a below calculated column that dynamically calculates the average for each row based on the specified conditions
calculated column:
Hope it helps
Did I answer your question? Mark my post as a solution! This will help others on the forum!
Appreciate your Kudos!!
Proud to be a Super User! | |
Thank you so much for getting me out of this, for some reason I kept trying to do this in a measure. Thanks!
Check out the April 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
72 | |
71 | |
68 | |
42 | |
42 |
User | Count |
---|---|
46 | |
40 | |
28 | |
27 | |
26 |