Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Convert raw data into business insights with updated techniques, use cases, and best practices

Arrow left icon
Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835464274
Length 598 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Installing and Licensing Power BI Tools FREE CHAPTER 2. Accessing, Retrieving, and Transforming Data 3. Building a Power BI Semantic Model 4. Authoring Power BI Reports 5. Working in the Power BI Service 6. Getting Serious About Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Enhancing and Optimizing Existing Power BI Solutions 11. Deploying and Distributing Power BI Content 12. Integrating Power BI with Other Applications 13. Working with Premium and Microsoft Fabric 14. Other Books You May Enjoy
15. Index

Embedding Statistical Analyses

Statistical analysis beyond basic aggregations is typically implemented outside of business intelligence semantic models by data scientists and data science applications. When possible, however, it is much more efficient to leverage existing semantic models, Power BI skills, and the features used for other Power BI reports and dashboards—such as the Analytics pane described earlier in this chapter.

In this recipe, the data points supporting a linear regression model are created from an existing Power BI semantic model. This model is then analyzed and described via DAX measures, with values such as slope, Y-intercept, and the Z-score for residuals. Finally, a rich report page is constructed to visualize the strength and accuracy of the regression model and detect outliers.

Getting ready

  1. Download Embedding Statistical Analysis Start.pbix from the following GitHub repository: https://github.com/PacktPublishing/Power-BI-Cookbook...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime