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Extending Power BI with Python and R - Second Edition

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
Author (1):
Luca Zavarella Luca Zavarella
Profile icon 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

Test your knowledge

  1. Why does Power BI Desktop sometimes raise the ADO.NET error referring to the inability to import the NumPy library, even though the package is correctly installed in the conda environment referenced in the Options?
  2. What’s the goal of the Data Privacy Firewall, aka the Firewall?
  3. List the two types of errors that the Firewall can raise and describe their characteristics.
  4. Suppose you need an on-premises data gateway in enterprise mode to allow some datasets to be refreshed after publishing your report to the Power BI service. Will the published datasets have privacy levels aligned with those set on Power BI Desktop?
  5. Suppose you have a query that directly accesses a data source and involves a Python script step. The query has a privacy level set to Organizational, whereas the Python script has the privacy level set to Public. Does the firewall raise errors? If yes, which ones?
  6. What are the pros and cons of the two methods...
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