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
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11
Index

Visualizing tabular data

There are many options within Power BI to visually represent data, but sometimes users may want to see and compare detail-level data and exact values. In these scenarios, using the Table or Matrix visual is the most effective option. When leveraging either of these two visuals, it is important to take advantage of the Format section of the Visualizations pane to ensure that users can easily interpret the data that is being presented. One of the best ways to bring attention to values of importance with these visuals is by using Conditional formatting. This section will also take advantage of the hierarchies created in Chapter 3, Building the Data Model, to allow for drilldowns within the visuals.

Table

The table visual is perfect for looking at many values (measures) for a category. To really make the table shine, you will also want to take advantage of the Conditional formatting options. In this example, you will be using the Sales Territory...