Book Image

Microsoft Power BI Quick Start Guide. - Second Edition

By : Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky
Book Image

Microsoft Power BI Quick Start Guide. - Second Edition

By: Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky

Overview of this book

This revised edition has been fully updated to reflect the latest enhancements to Power BI. It includes a new chapter dedicated to dataflow, and covers all the essential concepts such as installation, designing effective data models, as well as building basic dashboards and visualizations to help you and your organization make better business decisions. You’ll learn how to obtain data from a variety of sources and clean it using Power BI Query Editor. You’ll then find out how you can design your data model to navigate and explore relationships within it and build DAX formulas to make your data easier to work with. Visualizing your data is a key element in this book, and you’ll get to grips rapidly with data visualization styles and enhanced digital storytelling techniques. In addition, you will acquire the skills to build your own dataflows, understand the Common Data Model, and automate data flow refreshes to eradicate data cleansing inefficiency. This guide will help you understand how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented. By the end of this Power BI book, you’ll have a better understanding of how to get the most out of Power BI to perform effective business intelligence.
Table of Contents (12 chapters)
10
Other Books You May Enjoy
11
Index

Filtering visualizations and data

Filtering the data that users will see within a Power BI report is the most effective way to answer very specific questions about that data, and there are many ways to accomplish this. One of Power BI's most useful features is its ability to allow users to interact with a visual, which will then apply the selection as a filter to the rest of the visuals on that page. This is known as cross-filtering. This behavior really puts the power into the user's hands, and they can decide how they want to filter the visuals. This makes a report much more robust because it can answer many more questions about the data without the need to create and maintain additional pages or visuals.

Along with this functionality, report developers can add more visible and explicit forms of filtering using the slicer visual that is available in the Visualizations pane. This provides the option to choose a very specific field from the data that you know end users...