Extending Power BI with Python and R

4 (1 reviews total)
By Luca Zavarella
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    Chapter 1: Where and How to Use R and Python Scripts in Power BI
About this book

Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages.

You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model.

By the end of this book, you’ll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R.

Publication date:
November 2021


Section 1: Best Practices for Using R and Python in Power BI

The first thing to know when approaching analytic languages in Power BI is where you can use them within Power BI, and then what limitations on their use are imposed by Power BI itself. At that point, knowing which analytical language engines and integrated development environments to install, how to properly configure them with Power BI products, and their limitations is the next step in starting to use them properly. This section guides you through all of this in a simple and efficient manner.

This section comprises the following chapters:

  • Chapter 1, Where and How to Use R and Python Scripts in Power BI
  • Chapter 2, Configuring R with Power BI
  • Chapter 3, Configuring Python with Power BI
About the Author
  • Luca Zavarella

    Luca Zavarella is certified as an Azure Data Scientist Associate and is also a Microsoft MVP for artificial intelligence. He graduated in computer engineering at the Faculty of Engineering of L'Aquila University, and he has more than 10 years of experience working on the Microsoft Data Platform. He started his journey as a T-SQL developer on SQL Server 2000 and 2005. He then focused on all the Microsoft Business Intelligence stack (SSIS, SSAS, SSRS), deepening data warehousing techniques. Recently, he has been dedicating himself to the world of advanced analytics and data science. He also graduated with honors in classical piano at the Conservatory "Alfredo Casella" in L'Aquila.

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Latest Reviews (1 reviews total)
Nice topic, alway nice to be able to extend a powerful application
Extending Power BI with Python and R
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