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Extending Power BI with Python and R

You're reading from   Extending Power BI with Python and R Ingest, transform, enrich, and visualize data using the power of analytical languages

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801078207
Length 558 pages
Edition 1st Edition
Languages
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Author (1):
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Luca Zavarella Luca Zavarella
Author Profile Icon Luca Zavarella
Luca Zavarella
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Best Practices for Using R and Python in Power BI
2. Chapter 1: Where and How to Use R and Python Scripts in Power BI FREE CHAPTER 3. Chapter 2: Configuring R with Power BI 4. Chapter 3: Configuring Python with Power BI 5. Section 2: Data Ingestion and Transformation with R and Python in Power BI
6. Chapter 4: Importing Unhandled Data Objects 7. Chapter 5: Using Regular Expressions in Power BI 8. Chapter 6: Anonymizing and Pseudonymizing Your Data in Power BI 9. Chapter 7: Logging Data from Power BI to External Sources 10. Chapter 8: Loading Large Datasets beyond the Available RAM in Power BI 11. Section 3: Data Enrichment with R and Python in Power BI
12. Chapter 9: Calling External APIs to Enrich Your Data 13. Chapter 10: Calculating Columns Using Complex Algorithms 14. Chapter 11: Adding Statistics Insights: Associations 15. Chapter 12: Adding Statistics Insights: Outliers and Missing Values 16. Chapter 13: Using Machine Learning without Premium or Embedded Capacity 17. Section 3: Data Visualization with R in Power BI
18. Chapter 14: Exploratory Data Analysis 19. Chapter 15: Advanced Visualizations 20. Chapter 16: Interactive R Custom Visuals 21. Other Books You May Enjoy

Packaging it all into a Power BI Custom Visual

Power BI Visual Tools (pbiviz) are the easiest way to build custom visuals in Power BI. They are written in JavaScript (using Node.js) and are used to compile the source code of .pbiviz packages. A .pbiviz package is a zipped version of the Power BI Visual Project, which in turn is a set of folders, scripts, and assets needed to create the custom visualization you want to implement. Generally, a standard Power BI Visual Project is created from a template thanks to the pbiviz command-line tools. The template contents depend on the method by which you want to create the custom visual (TypeScript, R visual, or R HTML).

Important Note

The pbiviz tools do not support any technology that uses Python behind the scenes, such as the ipywidget widgets.

In the light of this, it is worth learning R and ggplot a little more in order to be able to develop interesting custom visuals using the R visual and R HTML modes. In addition to this, as...

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