Elevate DAX: All About Moving Averages In Power BI
Easily Understand Different Ways Of Calculating Moving Or Running Averages In Power BI
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Welcome back to my Elevate DAX series! Your ongoing enthusiasm for this series is truly appreciated.
Whether you’re a seasoned data analyst or just starting with DAX, this series aims to simplify complex concepts and empower you with practical knowledge.
You can access all previous blogs in this series from here.
This blog is about Moving Averages. As I like to do, will explore various approaches to calculating moving averages. So, let’s jump right in!!!
Introduction
Moving Averages, also known as Rolling Average is a staple calculation for any data analyst. It is basically used to reveal underlying trends in the numbers that might otherwise go unnoticed.
Picture this: you’re a trader keeping a close eye on share prices. Amidst the chaos of fluctuating numbers, how do you identify trends and make informed decisions? Enter moving averages. It smoothens the chart lines, thus making the trend evident for a trader to make a call.
