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Mastering Microsoft Power BI – Second Edition - Second Edition

You're reading from  Mastering Microsoft Power BI – Second Edition - Second Edition

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Pages 712 pages
Edition 2nd Edition
Languages
Authors (2):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Brett Powell Brett Powell
Profile icon Brett Powell
View More author details

Table of Contents (18) Chapters

Preface 1. Planning Power BI Projects 2. Preparing Data Sources 3. Connecting to Sources and Transforming Data with M 4. Designing Import, DirectQuery, and Composite Data Models 5. Developing DAX Measures and Security Roles 6. Planning Power BI Reports 7. Creating and Formatting Visualizations 8. Applying Advanced Analytics 9. Designing Dashboards 10. Managing Workspaces and Content 11. Managing the On-Premises Data Gateway 12. Deploying Paginated Reports 13. Creating Power BI Apps and Content Distribution 14. Administering Power BI for an Organization 15. Building Enterprise BI with Power BI Premium 16. Other Books You May Enjoy
17. Index

R and Python visuals

The R and Python programming languages both have strong data analysis and visualization capabilities. This makes these languages a natural fit for data analysis and visualization tools such as Power BI Desktop. In addition to other integration options, such as the ability to use R and Python in Power Query, Power BI Desktop also provides standard visuals for both R and Python.

In order to use the R and Python visuals, you must first install the R and Python programming languages and ensure that the R scripting and Python scripting options are configured in the GLOBAL options (File | Options and settings | Options) as shown in Figure 8.9:

Figure 8.9: R scripting options

As shown in Figure 8.9, Power BI attempts to detect any installed R and Python program language installations and integrated development environments (IDEs). Once you have the R and Python languages installed and configured, you are ready to add an R or Python visual to a report...

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