You're reading from Extending Power BI with Python and R - Second Edition

Product type Book

Published in Mar 2024

Publisher Packt

ISBN-13 9781837639533

Pages 814 pages

Edition 2nd Edition

Languages

Python

Concepts

Business Intelligence

Author (1):

Luca Zavarella

Table of Contents (27) Chapters

Preface

1. Where and How to Use R and Python Scripts in Power BI

2. Configuring R with Power BI

3. Configuring Python with Power BI

4. Solving Common Issues When Using Python and R in Power BI

5. Importing Unhandled Data Objects

6. Using Regular Expressions in Power BI

7. Anonymizing and Pseudonymizing Your Data in Power BI

8. Logging Data from Power BI to External Sources

9. Loading Large Datasets Beyond the Available RAM in Power BI

10. Boosting Data Loading Speed in Power BI with Parquet Format

11. Calling External APIs to Enrich Your Data

12. Calculating Columns Using Complex Algorithms: Distances

13. Calculating Columns Using Complex Algorithms: Fuzzy Matching

14. Calculating Columns Using Complex Algorithms: Optimization Problems

15. Adding Statistical Insights: Associations

16. Adding Statistical Insights: Outliers and Missing Values

17. Using Machine Learning without Premium or Embedded Capacity

18. Using SQL Server External Languages for Advanced Analytics and ML Integration in Power BI

19. Exploratory Data Analysis

20. Using the Grammar of Graphics in Python with plotnine

21. Advanced Visualizations

22. Interactive R Custom Visuals

23. Other Books You May Enjoy

24. Index

Appendix 1: Answers

1. Appendix 2: Glossary

Choosing an R engine to install

Once it is decided that CRAN R is the R distribution to adopt, the first question when installing an R engine is: “Which version should I install? Do I choose the latest one, or do I opt for a previous one?” The usual answer to these kinds of questions is: “It depends!” In our case, the goal is to use the R engine within Power BI, so we need to understand which versions are used by the various products that admit the use of R within them.

The R engines used by Power BI

We saw in Chapter 1, Where and How to Use R and Python Scripts in Power BI, that only two Power BI products are allowed to use scripts in R and Python: Power BI Desktop and the Power BI service (remember that Power BI embedded is implicitly included when talking about the Power BI service). So, the answer “It depends!” has a clearer connotation now: if you need to share your reports with people inside your organization, then you have to...