Section 3: Data Enrichment with R and Python in Power BI

With the introduction of the R and Python analytical languages, data enrichment is a more-than-achievable goal thanks to the wide range of features introduced by packages developed by the community. You can easily invoke web services to add contextual information to your data, use complex mathematical algorithms to derive measures not provided directly, leverage some knowledge of statistics to detect patterns between variables or abnormal behaviors, and finally, use the power of artificial intelligence and machine learning to derive valuable insights from your data. In this section, you'll learn a little bit about all of this, enriching your background to become an advanced analyst.

This section comprises the following chapters:

• Chapter 9, Calling External APIs to Enrich Your Data
• Chapter 10, Calculating Columns Using Complex Algorithms
• Chapter 11, Adding Statistics Insights – Associations
• Chapter...