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Highlighting Top 10 with RankX and TopN

Happy Friday!! If you have worked with other BI tools such as Tableau setting up the Top 10 is relatively easy but in Power BI you have dedicated functions such as RankX and Top N to do this. In this blog we will see how to highlight and filter out the TopN Sub Categories based on the Sales recorded in 2013. Before we start. Here are a few pre-requisites we are using Sample Superstore data and we have created an explicit measures called "Total Sales". If you aren't familiar with implicit and explicit measures do read this article . Total Sales is equivalent to Sum of Sales.  We will start with RankX. The goal here is to highlight the Top 10 subcategories based on the Total Sales occurred in the year 2013. Refer to the image below. How to make this? We will start creating a basic DAX which will provide rank to different sub categories. Make sure you provide an order in the DAX itself. In this case we have provided "DESC- descending". Once you have the DAX ready p
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Writing a DAX can be tricky at times and making it efficient for the system is always a challenge for a BI Developer. The most prominent example is the use of filters in DAX. There are zillion ways to filter something in DAX and attain the same result but when you look behind the scenes you will get to know what effect it makes on performance. Looking at the above image it all looks the same. In this blog, we will cover the most common scenarios to use filters including the use of filter with all, filter with values, and keepfilters. I am using the sample superstore data for demonstration. The idea is to get sales for "Tables". The DAX is as follows. The most common and basic approach will be this. Looking at the matrix it gives the sales amount of tables as the total sales for "Furniture". If we use this in a table or matrix results can be perplexing for the user. Considering the total it does make sense. But we want every sub-category to get their respective sales