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

Product typeBook
Published inMar 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837639533
Edition2nd Edition
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Author (1)
Luca Zavarella
Luca Zavarella
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Luca Zavarella

Luca Zavarella has a rich background as an Azure Data Scientist Associate and Microsoft MVP, with a Computer Engineering degree from the University of L'Aquila. His decade-plus experience spans the Microsoft Data Platform, starting as a T-SQL developer on SQL Server 2000 and 2005, then mastering the full suite of Microsoft Business Intelligence tools (SSIS, SSAS, SSRS), and advancing into data warehousing. Recently, his focus has shifted to advanced analytics, data science, and AI, contributing to the community as a speaker and blogger, especially on Medium. Currently, he leads the Data & AI division at iCubed, and he also holds an honors degree in classical piano from the "Alfredo Casella" Conservatory in L'Aquila.
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Chapter 1

  1. The stages are data loading, data transforming, and data viewing.
  2. You can’t use a Python dictionary as a data source. Only pandas DataFrames are recognized by Power BI as allowed data sources.
  3. You can’t use an R list as a data source. Only R data frames are recognized by Power BI as allowed data sources.
  4. In the case of both the Python script and R script, the name of the variable that contains the transformation data obtained up to the previous step is dataset.
  5. You must drag the fields you want to use in your script to the Values area.
  6. You must refresh the data in order to re-run a Python or R script added as a Power Query step (either in the loading phase or in the transforming phase) – or set a Page Refresh property for DirectQuery imports of data frames.
  7. Python and R script visuals are updated whenever you interact with other visuals in the report (cross-filtering).
  8. The internet cannot...
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Published in: Mar 2024Publisher: PacktISBN-13: 9781837639533
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Author (1)

author image
Luca Zavarella

Luca Zavarella has a rich background as an Azure Data Scientist Associate and Microsoft MVP, with a Computer Engineering degree from the University of L'Aquila. His decade-plus experience spans the Microsoft Data Platform, starting as a T-SQL developer on SQL Server 2000 and 2005, then mastering the full suite of Microsoft Business Intelligence tools (SSIS, SSAS, SSRS), and advancing into data warehousing. Recently, his focus has shifted to advanced analytics, data science, and AI, contributing to the community as a speaker and blogger, especially on Medium. Currently, he leads the Data & AI division at iCubed, and he also holds an honors degree in classical piano from the "Alfredo Casella" Conservatory in L'Aquila.
Read more about Luca Zavarella