Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code FABINSIDER for a $400 discount.
Register nowGet inspired! Check out the entries from the Power BI DataViz World Championships preliminary rounds and give kudos to your favorites. View the vizzies.
Hi All,
I have created a date table and have used the following to create a KPI for today vs Yesterday:
Today KPI : Ticket_Close_KPI_Today = CALCULATE(COUNT(Tickets[Ticket Close DaysAgo]);Tickets[Ticket Close DaysAgo]=0)
Yesterday KPI : Ticket_Close_KPI_Yesterday = CALCULATE(COUNT(Tickets[Ticket Close DaysAgo]);Tickets[Ticket Close DaysAgo]=1)
How would i translate that into this week vs last week as well as this month vs last month?
Thank you
Ticket_Close_KPI_Today = CALCULATE(COUNT(Tickets[Ticket Close DaysAgo]);Tickets[Ticket Close DaysAgo]=0)
Could you please share us some sample data of you date table? So that we can make further analysis. You can upload a pbix file to Onedrive or any web storage and share the link. Do mask sensitive data before uploading.
Regards,
Charlie Liao
Hi Please find link to file. It is the Tickets Table that you see.
Let me know if that helps at all?
Any feedback?
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code FABINSIDER for a $400 discount!
Check out the February 2025 Power BI update to learn about new features.
User | Count |
---|---|
84 | |
70 | |
66 | |
50 | |
31 |
User | Count |
---|---|
116 | |
99 | |
75 | |
65 | |
40 |