Preface

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 gain the ability 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. Next, the book explores data ingestion and data transformation extensions and focuses on data augmentation and data visualization. You'll understand how to import data from unhandled objects and transform them with regular expressions and complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization and anonymization in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python and R. Later, you'll learn advanced Python or 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 of them in the process of understanding relationships between their variables.

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