Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
In my PowerBI dataset I have many columns, but I am trying to build a graph using three columns from my dataset (Created Date, WO# and Part Number. I basically want to be able to show a graph that shows for any given year and month how many unique "WO#"s there were and the average "Part Number Count" per "WO#" for that month.
Does anyone have any ideas on how to easily do this in PowerBI? I could easy do this in PivotTable, but I want this to be automated. The goal would be to answer the following questions.
1. How many unique WO#s were there for a given year/month
2. For a given year/month, what was the average Part Number count per WO#?
Ultimately we want to track " Average Part Numbner Count per WO#" and see it go down month over month.
Hopefully this makes sense!
Thanks!
Solved! Go to Solution.
I appreciate the help. I don't think I explained myself fully, but after looking at what you did in your example, I realized I was over thinking the whole thing, was making it more difficult than it needed to be and was able to solve it using just a couple measures and some math.
Thanks for getting me to think differently!
Hi @Anonymous ,
According to your description, I create a sample.
Maybe I didn't fully understand. When we put the year and month in the slicer, the measures created can dynamically change by the slicer.
WO# Count = DISTINCTCOUNT('Table'[WO#])Average Part Number = AVERAGE('Table'[Part Number])
If the problem is not like this, please feel free to let me know.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please considerAccept it as the solution to help the other members find it more quickly.
I appreciate the help. I don't think I explained myself fully, but after looking at what you did in your example, I realized I was over thinking the whole thing, was making it more difficult than it needed to be and was able to solve it using just a couple measures and some math.
Thanks for getting me to think differently!
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 51 | |
| 40 | |
| 37 | |
| 14 | |
| 14 |
| User | Count |
|---|---|
| 85 | |
| 69 | |
| 38 | |
| 29 | |
| 27 |