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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

Cleaning your data in Power BI

Data preparation typically involves cleaning, transforming, and structuring data into a format that is suitable for analysis. Power BI offers several tools to help with this process, including the Power Query Editor, data modeling, and DAX formulas. In the later chapters of this book, you will dive deeper into each of these tools. Here is an example of the Power Query Editor window accessed from within the Power BI Desktop application:

Figure 1.1 – User interface (UI)/toolbar of the Power Query Editor

Figure 1.1 – User interface (UI)/toolbar of the Power Query Editor

The Power Query Editor is a powerful tool that allows you to clean and transform data. It provides a user-friendly interface to perform various data transformation tasks, such as splitting columns, merging tables, filtering data, and removing duplicates. It also has several built-in functions to help you transform your data, such as date and text transformations.

Data modeling is another important aspect of Power BI...

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