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Neo777
Frequent Visitor

Transforming Cumulative data files

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?

DataSoruce.JPG

1 ACCEPTED SOLUTION
Ashish_Mathur
Super User
Super User

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.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/

View solution in original post

3 REPLIES 3
Neo777
Frequent Visitor

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.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/
Ashish_Mathur
Super User
Super User

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.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/

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