Extending Power BI with Python and R: Ingest, transform, enrich, and visualize data using the power of analytical languages

by Luca Zavarella, Francesca Lazzeri (Foreword)

Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R 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. This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful.

558 pages, Paperback

Published November 26, 2021

Reviews

[Sasha Marsee holder · Rating 5 out of 5]

Interested in upping your game by incorporating Python into Power BI visuals? Me too! Thankfully I read this book. It’s very comprehensive and full of great examples and various use cases for Python, but my greatest take away was don’t do it. There are more down sides and complications with embedding power BI reports than the benefit of a custom visual. There is a reason why nobody bothers after 6 years of availability.

However, I give this book 5 stars because it helped me see all of the ways in which Python could be used and use cases where I wouldn’t bother. I’m a better developer for having read this book. I highly recommend it for anyone considering learning Python that already knows PowerBI.

This book predates Fabric.