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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

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835464274
Length 598 pages
Edition 3rd 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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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

Using R and Python Visuals

The R and Python programming languages, including their powerful and extensible features in data processing, advanced analytics, and visualization, are deeply integrated with Power BI. R and Python scripts can be used as a data source for a Power BI semantic model, as a data transformation and shaping process within M queries, and as their own visualization type within Power BI reports and dashboards. Like standard Power BI visuals, R and Python script visuals directly leverage the relationships defined in the semantic model and can be dynamically filtered via other visuals, such as slicers.

In this recipe, two histogram visualizations are created in Power BI Desktop with R scripts: one with R’s standard distribution base graphics and another with the popular ggplot2 visualization package. Additionally, a Python visual example is included.

Getting ready

To prepare for this recipe, follow these steps:

  1. Download and install the...
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