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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
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Brett Powell
Mitchell Pearson Mitchell Pearson
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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 2. Data Transformation Strategies FREE CHAPTER 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

Chapter 11. Creating and Formatting Power BI Reports

In this chapter, we will create Power BI reports based on the dataset developed over the past three chapters and published to the Power BI service. We will review a report-planning and design process as well as all primary report formatting features in the context of visualization best practices. Additionally, we will look at report behavior and functionality features, such as alternative filter scopes, slicers, and conditional formatting options.

This chapter also highlights several of the latest and most powerful Power BI report features, including visual interactions, top N, relative date filters, and What-if parameters. The reports developed in this chapter can be further supplemented with custom visuals and advanced analytics from the following chapter to serve as a supporting analysis layer to Power BI dashboards. 

In this chapter, we will review the following topics:

  • Report planning
  • Live connections to Power BI datasets
  • Visualization...
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