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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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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1 – Introduction and Fundamentals
2. Chapter 1: Introduction to Power BI Data Cleaning FREE CHAPTER 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

Advanced Data Cleaning Techniques

So far in this book, we have covered several techniques that range from basic to intermediary. Now, we are ready to progress to the next stage of this book, where we will explore more advanced techniques for cleaning, preparing, and enhancing data for analysis within Power BI and its toolkit.

In this chapter, you will learn about the following:

  • Using Power Query Editor from within Dataflow Gen1 – fuzzy matching and fill down
  • Using R and Python scripts
  • Using ML to clean data

By the end of this chapter, you will have learned how to build complex functions within Power Query. In addition to this, you will also learn how to begin bringing other advanced languages such as R or Python into your data model.

The key aim of this chapter is to provide an introduction to techniques that you can leverage as you clean, prepare, and enhance your data for analysis, as well as to introduce you to working with dataflows from the...

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