Advanced Analytics in Power BI with R and Python

Аннотация

This book covers how to leverage R and Python to bring the added functionality listed earlier to your Power BI solutions. R is a perfect complement to Power BI because it is a language written specifically for data analytics. Data analysts have been using R to perform tasks like data wrangling and data visualization for decades. Given that, features that may not be available in Power BI might have been in R for some time. Python has become a very popular programming language in data analytics over the last decade. One of the features that make Python so attractive is that it is not only great for data analytics, but it is great for general programming tasks as well. Communicating with APIs is a breeze with Python, but the same task is very clunky using Power Query. These features of R and Python make them perfect companions to Power BI. This book will cover some recipes that illustrate the preceding features. The recipes will include detailed steps along with verbose descriptions so that you will get a clear understanding of how they work. Before you get started using the recipes, you need to configure your environment. Let’s go over those configurations.