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Data Cleaning with Power BI

You're reading from   Data Cleaning with Power BI The definitive guide to transforming dirty data into actionable insights

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Product type Paperback
Published in Feb 2024
Publisher
ISBN-13 9781805126409
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Gus Frazer Gus Frazer
Author Profile Icon Gus Frazer
Gus Frazer
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Table of Contents (23) Chapters Close

Preface 1. Part 1 – Introduction and Fundamentals FREE CHAPTER
2. Chapter 1: Introduction to Power BI Data Cleaning 3. Chapter 2: Understanding Data Quality and Why Data Cleaning is Important 4. Chapter 3: Data Cleaning Fundamentals and Principles 5. Chapter 4: The Most Common Data Cleaning Operations 6. Part 2 – Data Import and Query Editor
7. Chapter 5: Importing Data into Power BI 8. Chapter 6: Cleaning Data with Query Editor 9. Chapter 7: Transforming Data with the M Language 10. Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) 11. Part 3 – Advanced Data Cleaning and Optimizations
12. Chapter 9: Advanced Data Cleaning Techniques 13. Chapter 10: Creating Custom Functions in Power Query 14. Chapter 11: M Query Optimization 15. Chapter 12: Data Modeling and Managing Relationships 16. Part 4 – Paginated Reports, Automations, and OpenAI
17. Chapter 13: Preparing Data for Paginated Reporting 18. Chapter 14: Automating Data Cleaning Tasks with Power Automate 19. Chapter 15: Making Life Easier with OpenAI 20. Assessments 21. Index 22. Other Books You May Enjoy

Technical requirements

To follow along with the AutoML example and walk-through, you will require access to Dataflow Gen1 and a Power BI premium workspace.

To utilize R scripts within Power BI Desktop, it’s essential to have R installed on your local machine. Fortunately, you can easily download and install R for free. Visit the official R project website (https://www.r-project.org/) to access the latest version of R. Once on the website, navigate to the CRAN (Comprehensive R Archive Network) section, and choose a mirror location close to you. From there, select the appropriate version of R for your operating system (Windows, macOS, or Linux) and initiate the download.

After downloading the installer, follow the installation instructions provided to complete the setup process. Once R is successfully installed on your local machine, you’ll be equipped to seamlessly run R scripts in conjunction with Power BI Desktop for enhanced data analysis and visualization capabilities...

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