Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi,
What are the correct transformation steps to add in missing rows per week as shown below. I need to have a row for every week of the month for every product, even if the source data is missing rows for some products (which it is). Please see below for example of before and desired after. Practical application has several hundred products spanning several years. Thanks for your assistance.
Thank you. Really appreciate the direction! Looking at the applied steps, could you describe the process and what's happening? In particular, the custom step you created is complex (to my eyes). I would like to better understand so that the approach can be broken down, tweaked, and applied to other scenarios.
Thank you. The result of the simple version does not seem to yeild the same desired result as the first.
Bump. Thanks.
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.