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
1
Part 1 – Introduction and Fundamentals
6
Part 2 – Data Import and Query Editor
11
Part 3 – Advanced Data Cleaning and Optimizations
16
Part 4 – Paginated Reports, Automations, and OpenAI

Summary

In this chapter, we explored the process of creating custom functions in Power Query. Effective use of custom functions in Power Query begins with proper planning, forming the cornerstone for building efficient and adaptable functions. This involves defining the problem, identifying parameters, and setting clear objectives to align with your data preparation needs. Parameters, as you learned, play a crucial role in enhancing the flexibility of your functions for various scenarios. The process of creating custom functions encompasses defining the function’s structure, writing M code, thorough testing and debugging, and comprehensive documentation. Armed with these insights, you are well-prepared to leverage the full potential of custom functions in Power Query, with capabilities for seamless data transformation and preparation.

In the next chapter, you will learn more about the techniques and tips on how you can optimize your M code.