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Microsoft Power BI Cookbook. - Second Edition

You're reading from  Microsoft Power BI Cookbook. - Second Edition

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781801813044
Pages 656 pages
Edition 2nd Edition
Languages
Authors (2):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Brett Powell Brett Powell
Profile icon Brett Powell
View More author details

Table of Contents (16) Chapters

Preface 1. Configuring Power BI Tools 2. Accessing and Retrieving Data 3. Building a Power BI Data Model 4. Authoring Power BI Reports 5. Working in the Service 6. Getting Serious with Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Administering and Monitoring Power BI 11. Enhancing and Optimizing Existing Power BI Solutions 12. Deploying and Distributing Power BI Content 13. Integrating Power BI with Other Applications 14. Other Book 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 data 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 data 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 to detect outliers.

Getting ready

To prepare for this recipe, follow these steps:

  1. Open a Power BI Desktop file locally and access the Power Query Editor by clicking on Transform...
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