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 have a data set with the following columns:
Account, Category, Brand, Sub-brand, UPC, Year, Week, Units, Units Py, and Units forecast.
Account, Category, Brand, Year, and Week are all slicers on the page.
I have 9 visuals on the page- each one is a line chart with units, units py, and units forecast on the y axis and week on the x axis.
I want each visual to be at the Sub-Brand level and each visual to be assigned a rank 1-9 based on units that will change based on the slicers selected.
Is there any way to do this?
Not sure I understand what you are trying to do. Do you have 9 identical visuals on the page, each one showing data for a different sub-brand? And then you want to RANK each Sub-Brand based on some Units?
I can't think of a way to RANK a Visual.
You might want to re-think your visual approach. Maybe have a table or matrix that lists the 9 Sub-Brands, and show the Rank as a column in the table or Value in the matrix. Then have another visual (chart, graph, etc.) that shows the sub-brand data filtered when you select a row in the table or matrix.
Proud to be a Super User! | |
If there are potentially 300 sub-brands I am only wanting to show the top 9- the 1st chart would show the sub brand with the most units and so on- all while changing based off the slicers selected. Does that make sense? It may not be possible in which case I can do a different visual
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 | |
| 29 | |
| 29 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 68 | |
| 45 | |
| 33 | |
| 24 | |
| 23 |