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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

Concepts

Business Intelligence

Author (1):

Luca Zavarella

Table of Contents (27) Chapters

Preface

Where and How to Use R and Python Scripts in Power BI

Configuring R with Power BI

Configuring Python with Power BI

Solving Common Issues When Using Python and R in Power BI

Importing Unhandled Data Objects

Using Regular Expressions in Power BI

Anonymizing and Pseudonymizing Your Data in Power BI

Logging Data from Power BI to External Sources

Loading Large Datasets Beyond the Available RAM in Power BI

Boosting Data Loading Speed in Power BI with Parquet Format

Calling External APIs to Enrich Your Data

Calculating Columns Using Complex Algorithms: Distances

Calculating Columns Using Complex Algorithms: Fuzzy Matching

Calculating Columns Using Complex Algorithms: Optimization Problems

Adding Statistical Insights: Associations

Adding Statistical Insights: Outliers and Missing Values

Using Machine Learning without Premium or Embedded Capacity

Using SQL Server External Languages for Advanced Analytics and ML Integration in Power BI

Exploratory Data Analysis

Using the Grammar of Graphics in Python with plotnine

Advanced Visualizations

Interactive R Custom Visuals

Other Books You May Enjoy

Index

Appendix 1: Answers

Appendix 2: Glossary

References

For additional reading, check out the following books and articles:

Common Format and MIME Type for Comma-Separated Values (CSV) Files (https://tools.ietf.org/html/rfc4180)
Excel (.xlsx) Extensions to the Office Open XML SpreadsheetML File Format (https://bit.ly/ms-xlsx-specs)
Connect Excel to a database in Azure SQL Database (https://bit.ly/excel-to-azuresqldb)

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Authors (1)

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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