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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 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

Visualization best practices


Effective reports are much more than simply answering documented business questions with the available measures and columns of the dataset. Reports also need to be visually appealing and provide a logical structure that aids in navigation and readability. Business users of all backgrounds appreciate a report that is clear, concise, and aesthetically pleasing.

Now that the report-planning phase described earlier is complete, the following list of 15 visualization practices can guide the report development process: 

  1. Avoid clutter and minimize nonessential details:
    • Each visual should align with the purpose of the report—to gain insight into a business question:
      • Visualizations should not represent wild guesses or functionality that the author finds interesting
    • Eliminate report elements that aren't essential for gaining understanding:
      • Gridlines, legends, axis labels, text boxes, and images can often be limited or removed
    • The report should be understandable at a glance...
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