This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi all,
I am very new to Power BI (loving it thought!) and need some help, either with how I solve this via DAX or any alternative suggestions.
My use case is that I have several project plans which contain a list of project tasks and resources assigned thereto. Much like in MS Project, the resources are a comma separated list of names. I've created a new table in which I combine the project tasks and these resources and that's what I'm building my report on.
I'm looking for a way to gauge capacity of my team based on how often their names appear on the tasks. SOme of the challenges with the data:
I want to show this data in a bar chart. I started by splitting the names into columns by a comma delimenator but I wasn't sure whether I could just do this via Dax on the original column.
My dataset sample essentially looks like this:
| Resource.1 | Resource.2 | Resource.3 |
| William | John | null |
| Sandra | null | null |
| John | William | Sandra |
What's the best way to approach this?
Solved! Go to Solution.
Hi,
In the Query Editor, when splitting the column, expland the Advanced Options traingle and select rows.
Hi,
In the Query Editor, when splitting the column, expland the Advanced Options traingle and select rows.
Thanks, I needed to take a step back to see the obvious.
You are welcome.
Read about unpivoting your source data to make it suitable for consumption in Power BI.
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 34 | |
| 26 | |
| 25 | |
| 22 | |
| 18 |
| User | Count |
|---|---|
| 65 | |
| 35 | |
| 32 | |
| 25 | |
| 23 |