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

Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781801813044
Edition2nd Edition
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Authors (2):
Gregory Deckler
Gregory Deckler
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Gregory Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.
Read more about Gregory Deckler

Brett Powell
Brett Powell
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Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.
Read more about Brett Powell

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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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Microsoft Power BI Cookbook. - Second Edition
Published in: Sep 2021Publisher: PacktISBN-13: 9781801813044

Authors (2)

author image
Gregory Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.
Read more about Gregory Deckler

author image
Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.
Read more about Brett Powell