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Data Cleaning with Power BI

Data Cleaning with Power BI

By : Frazer
5 (7)
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Data Cleaning with Power BI

Data Cleaning with Power BI

5 (7)
By: 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)
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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

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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