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Extending Power BI with Python and R

You're reading from   Extending Power BI with Python and R Perform advanced analysis using the power of analytical languages

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837639533
Length 814 pages
Edition 2nd 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 (27) Chapters Close

Preface 1. Where and How to Use R and Python Scripts in Power BI FREE CHAPTER 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

Logging to Excel files

As you probably already know, Microsoft Excel is spreadsheet program 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 spreadsheet format. It is very popular in organizations because it allows business data to be shared between departments and allows individual users to perform 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 files. This is a proprietary Microsoft format, based on the Binary Interchange File Format (BIFF). It was the default format for versions from v7.0 (Excel 95) through 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...

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