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Data Cleaning with Power BI

By Gus Frazer
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50+ new titles added every month on new and emerging tech
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50+ new titles added every month on new and emerging tech
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Mobile App with offline access
What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
Personalised content suggestions
Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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Online reader with customised display settings for better reading experience
What do you get with video?
Download this video in MP4 format
Access this title in our online reader
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What do you get with video?
Stream this video
Access this title in our online reader
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
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  1. Free Chapter
    Part 1 – Introduction and Fundamentals
About this book
Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you’ll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier. By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation.
Publication date:
February 2024
Publisher
Packt
Pages
340
ISBN
9781805126409

 

Part 1 – Introduction and Fundamentals

In this introductory part, you will embark on a foundational exploration of Power BI data cleaning, discovering the essential tools, understanding the significance of data quality, and grasping fundamental principles for effective data cleaning. You will gain hands-on experience in identifying and tackling common data challenges, setting the stage for a robust understanding of Power BI’s data cleaning processes.

This part has the following chapters:

  • Chapter 1, Introduction to Power BI Data Cleaning
  • Chapter 2, Understanding Data Quality and Why Data Cleaning is Important
  • Chapter 3, Data Cleaning Fundamentals and Principles
  • Chapter 4, The Most Common Data Cleaning Operations
About the Author
  • Gus Frazer

    Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.

    Browse publications by this author
Data Cleaning with Power BI
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