Get certified in Microsoft Fabric—for free! For a limited time, the Microsoft Fabric Community team will be offering free DP-600 exam vouchers. Prepare now
Hello guys,
I need help in transforming the data based on the example I attached. I am receiving monthly data, but these data contain cumulative values for the period (no data column per month). As you see in the attached picture I have two files one is the January - August file and the second one is the January - September file. So if I need to calculate the values of any KPIs for the company "z" I need to use the correct file (the latest data - Jan-Sept) and subtract the values from the same company from the previous file (Jan - August) and to assign that value as a September data (9/2023) in the new column to have a correct data type (who will be in relationship with my Calendar dimension table). So, for Octobar data, I will receive the Octobar file (from January to October) and the same process of subtracting the value of the previous file in this case Jan - Sept file. Do you know how I can transform that in Power Query or using some DAX measure?
Solved! Go to Solution.
Hi,
There has to be a Date column in each table. Creae that and share data in a format that can be pasted in an MS Excel file.
This is just an example of how my data are structured. I do not have permission to change anything on the source but I can make changes in the PBI Query Editor. I already created a date table but still, these are cumulative values. I created some DAX measures but still, this is not the solution I expected
A date column will have to somehow be created for the subtraction to happen. Share data (with actual column headers) in a format that can be pasted in an MS Excel file.
Hi,
There has to be a Date column in each table. Creae that and share data in a format that can be pasted in an MS Excel file.
Check out the October 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
111 | |
96 | |
90 | |
79 | |
67 |
User | Count |
---|---|
153 | |
125 | |
114 | |
111 | |
95 |