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Microsoft Power BI Complete Reference

You're reading from   Microsoft Power BI Complete Reference Bring your data to life with the powerful features of Microsoft Power BI

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950045
Length 794 pages
Edition 1st Edition
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Authors (5):
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Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
Mitchell Pearson Mitchell Pearson
Author Profile Icon Mitchell Pearson
Mitchell Pearson
Brian Knight Brian Knight
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Brian Knight
Devin Knight Devin Knight
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Devin Knight
Manuel Quintana Manuel Quintana
Author Profile Icon Manuel Quintana
Manuel Quintana
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Table of Contents (25) Chapters Close

Title Page
About Packt
Contributors
Preface
1. Getting Started with Importing Data Options FREE CHAPTER 2. Data Transformation Strategies 3. Building the Data Model 4. Leveraging DAX 5. Visualizing Data 6. Using a Cloud Deployment with the Power BI Service 7. Planning Power BI Projects 8. Connecting to Sources and Transforming Data with M 9. Designing Import and DirectQuery Data Models 10. Developing DAX Measures and Security Roles 11. Creating and Formatting Power BI Reports 12. Applying Custom Visuals, Animation, and Analytics 13. Designing Power BI Dashboards and Architectures 14. Managing Application Workspaces and Content 15. Managing the On-Premises Data Gateway 16. Deploying the Power BI Report Server 17. Creating Power BI Apps and Content Distribution 18. Administering Power BI for an Organization 19. Scaling with Premium and Analysis Services 1. Other Books You May Enjoy Index

Visualizing tabular data


We will see that there are many options within Power BI to visually represent data, but sometimes our users may want to see and compare detailed data and exact values. In these scenarios, using the Table or Matrix visual ends up being our best choice. When leveraging either of these two visuals, it is important to take advantage of the Format area to ensure that users can easily interpret the detailed 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. We will explore this option, as well as take advantage of the hierarchies we created in Chapter 3, Building the Data Model, to allow for drill downs within the visuals.

The table visual

The table visual is perfect for looking at many values (measures) for a category. To really make the table shine, we will also want to take advantage of the Conditional Formatting option that is available to us. In our example, we will be...

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