Book Image

Data Cleaning with Power BI

By : Gus Frazer
Book Image

Data Cleaning with Power BI

By: Gus Frazer

Overview of 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.
Table of Contents (23 chapters)
Free Chapter
Part 1 – Introduction and Fundamentals
Part 2 – Data Import and Query Editor
Part 3 – Advanced Data Cleaning and Optimizations
Part 4 – Paginated Reports, Automations, and OpenAI

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