Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hello,
I have a report where business choose period, lets say they choose 08.2022
For this period, I've got lets say 1000 items active and all of them got some score (1-10). What I would like to do, is to get average score of active items per period
Solved! Go to Solution.
@Pbiuserr yep just with proper column names: 'Table'[column] = value
You could also just put these filters in the visual level filters, but I like better the approach of creating a dedicated measure like our 1st option.
@Pbiuserr if you just write a simple AVERAGE('Table'[score]) you will get the right result when putting it on a chart / matrix breaking down by months and having a filter for true on the active index column.
You can also write somehing like:
CALCULATE(AVERAGE('Table'[score], 'Table'[status] = 'Active')
and then you don't need to use a visual filter context for this measure.
Hi,
For the chart I am aware of. Its for the card. My initial thinking was just to do AVERAGE (column), but I guess its more save if it meets criteria thats its active. To indicate active (CountOfActive, its not unfrotunately the status, but the flag must be 1 and item_prd = 0, so the measure would be :
CALCULATE (AVERAGE (Table[Score], ITEM_PRD = 0, ITEM_FLG = 1) ?
@Pbiuserr yep just with proper column names: 'Table'[column] = value
You could also just put these filters in the visual level filters, but I like better the approach of creating a dedicated measure like our 1st option.
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
66 | |
65 | |
56 | |
39 | |
27 |
User | Count |
---|---|
85 | |
59 | |
45 | |
42 | |
39 |