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Mastering Microsoft Power BI – Second Edition

You're reading from   Mastering Microsoft Power BI – Second Edition Expert techniques to create interactive insights for effective data analytics and business intelligence

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Length 712 pages
Edition 2nd Edition
Languages
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Authors (2):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Table of Contents (18) Chapters Close

Preface 1. Planning Power BI Projects FREE CHAPTER 2. Preparing Data Sources 3. Connecting to Sources and Transforming Data with M 4. Designing Import, DirectQuery, and Composite Data Models 5. Developing DAX Measures and Security Roles 6. Planning Power BI Reports 7. Creating and Formatting Visualizations 8. Applying Advanced Analytics 9. Designing Dashboards 10. Managing Workspaces and Content 11. Managing the On-Premises Data Gateway 12. Deploying Paginated Reports 13. Creating Power BI Apps and Content Distribution 14. Administering Power BI for an Organization 15. Building Enterprise BI with Power BI Premium 16. Other Books You May Enjoy
17. Index

Analytics pane

In addition to the Visualization pane’s Build visual and Format visual sub-panes used to create and format report visuals discussed in the previous chapter, an Analytics pane is also available for certain Cartesian standard visuals such as Line charts and Clustered column charts.

The Analytics pane allows report authors to add constant and dynamic reference lines such as average, max, and min to visuals to provide greater context and analytical value. Additionally, trend and forecast lines can be added to display the results of advanced analytical techniques such as exponential smoothing to support predictive analytics.

A simple but important use case of the Analytics pane, exemplified in the Trend line section below, is to add a constant line that represents a goal or threshold to compare a measure against. Dynamic reference lines representing an aggregation (for example, a median) behave just like DAX measures and thus, in some scenarios, avoid the...

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