You're reading from Extending Power BI with Python and R Ingest, transform, enrich, and visualize data using the power of analytical languages

Product type Paperback

Published in Nov 2021

Publisher Packt

ISBN-13 9781801078207

Length 558 pages

Edition 1st Edition

Languages

Python

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Luca Zavarella

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Table of Contents (22) Chapters

Preface

1. Section 1: Best Practices for Using R and Python in Power BI

2. Chapter 1: Where and How to Use R and Python Scripts in Power BI FREE CHAPTER

3. Chapter 2: Configuring R with Power BI

4. Chapter 3: Configuring Python with Power BI

5. Section 2: Data Ingestion and Transformation with R and Python in Power BI

6. Chapter 4: Importing Unhandled Data Objects

7. Chapter 5: Using Regular Expressions in Power BI

8. Chapter 6: Anonymizing and Pseudonymizing Your Data in Power BI

9. Chapter 7: Logging Data from Power BI to External Sources

10. Chapter 8: Loading Large Datasets beyond the Available RAM in Power BI

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

12. Chapter 9: Calling External APIs to Enrich Your Data

13. Chapter 10: Calculating Columns Using Complex Algorithms

14. Chapter 11: Adding Statistics Insights: Associations

15. Chapter 12: Adding Statistics Insights: Outliers and Missing Values

16. Chapter 13: Using Machine Learning without Premium or Embedded Capacity

17. Section 3: Data Visualization with R in Power BI

18. Chapter 14: Exploratory Data Analysis

19. Chapter 15: Advanced Visualizations

20. Chapter 16: Interactive R Custom Visuals

21. Other Books You May Enjoy

References

For additional reading, check out the following books and articles:

What RESTful actually means (https://codewords.recurse.com/issues/five/what-restful-actually-means)
Bing Maps REST Services (https://docs.microsoft.com/en-us/bingmaps/rest-services)
A Future for R: A Comprehensive Overview (https://cran.r-project.org/web/packages/future/vignettes/future-1-overview.html)
[VIDEO] Accessing API and web service data using Power Query (https://www.youtube.com/watch?v=SoJ52o7ni2A)
Invoking M Functions In Parallel Using List.ParallelInvoke() (https://blog.crossjoin.co.uk/2018/09/20/invoking-m-functions-in-parallel-using-list-parallelinvoke/)

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Table of Contents (22) Chapters

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Authors (1)

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Table of Contents (22) Chapters

References

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