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Extending Power BI with Python and R

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

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801078207
Length 558 pages
Edition 1st Edition
Languages
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Author (1):
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Luca Zavarella Luca Zavarella
Author Profile Icon Luca Zavarella
Luca Zavarella
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Table of Contents (22) Chapters Close

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

Logging to Excel files

As you probably already know, Microsoft Excel is spreadsheet software available in the Microsoft Office suite. It's one of the most widely used tools in the world for storing and organizing data in a table format. It is very popular in companies because it allows business data to be shared between departments and enables individual users to do their own data analysis directly and quickly without the help of the IT department.

Early versions of Excel stored information in files of the Excel Sheet (XLS) format. This is a proprietary Microsoft format, based on the Binary Interchange File Format (BIFF). It has been the default format for versions from v7.0 (Excel 95) to v11.0 (Excel 2003). From version 8.0 to 11.0 the XLS format can handle 64K (216 = 65,536) rows and 256 columns (28). Starting with version v12.0 (Excel 2007), the default format has changed to Excel Open XML Spreadsheet (XLSX). This is based on the Office Open XML format, and it is based on...

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