To add some custom calculative techniques in Power BI using DAX, you basically do as follows:
1. Determine the Calculation
First, what kind of aggregation do you want? For instance, simple may not be the only sum or average you demand, but rather a weighted average or even a running total.
2. Apply DAX Functions
In tout=relance, you will construct those calculations using DAX in Power BI. It is also worth noting that some of the common DAX functions relating to aggregation include the following:
SUM(): Sums all the values in a column.
AVERAGE(): Returns the average of the given values in a column.
CALCULATE(): This function is used to modify or filter the context of a calculation.
3. Utilize a Measure or Column
It is possible to incorporate this formula DAX in Power BI as either a measure or a calculated column. Measures are extensively employed for calculations that are subject to change with the application of filters, and columns are not dynamic unless the data is updated.
4. Test and Visualize
Finally, having thoughtfully implemented the custom aggregation, place it in a visualization and assess whether the outcomes are as you had hoped. The DAX formula may need some adjustment to meet your expectations.
With DAX, you are limited only to your imagination and the number of functions you may fit into the right place to create the desired custom aggregate for the company.
