Book Image

Extreme DAX

By : Michiel Rozema, Henk Vlootman
Book Image

Extreme DAX

By: Michiel Rozema, Henk Vlootman

Overview of this book

This book helps business analysts generate powerful and sophisticated analyses from their data using DAX and get the most out of Microsoft Business Intelligence tools. Extreme DAX will first teach you the principles of business intelligence, good model design, and how DAX fits into it all. Then, you’ll launch into detailed examples of DAX in real-world business scenarios such as inventory calculations, forecasting, intercompany business, and data security. At each step, senior DAX experts will walk you through the subtleties involved in working with Power BI models and common mistakes to look out for as you build advanced data aggregations. You’ll deepen your understanding of DAX functions, filters, and measures, and how and when they can be used to derive effective insights. You’ll also be provided with PBIX files for each chapter, so that you can follow along and explore in your own time.
Table of Contents (17 chapters)
Free Chapter
1
Part I: Introduction
6
Part II: Business cases
15
Other Books You May Enjoy
16
Index

Dynamically Changing Visualizations

Visualizations in a Power BI report use data from the Power BI model in two ways. First, values from columns are used to populate visual elements like the axis in a column chart, row labels in a table visual, or selection items in a slicer. We use the term label to generically refer to these elements. Second, aggregated data from the model, typically in the form of DAX measures, provides the results that a visual represents. While it is not visually clear, the buckets or wells that are used to bind a visual to data fields distinguish between these two types of data usage. For instance, the buckets Axis and Legend demand label data and the Values bucket needs aggregated data:

Figure 2.2.1: Field buckets for a Power BI visual

While Power BI provides many ways to create compelling reports out of the box, sometimes you want to go beyond these. This chapter presents approaches to dynamically change both ways of data binding through DAX....