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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

Putting it together

As you reach the end of this book, it’s important to reflect on the journey you have been on since the first chapter. You’ve embarked on a transformative journey through the intricate realm of cleaning and preparing data with Power BI.

Consider this not as an endpoint, but a stepping stone into a vast landscape of possibilities. The techniques and insights you’ve learned in this book will serve as the foundation for your ongoing exploration into the dynamic world of data analytics.

Throughout this book, you were introduced to a number of transformation concepts as well as functions that can be used to clean and prepare data. You were introduced to theory on how to approach data preparation, how to bring data into Power BI, and how to prepare that data. Within the chapters, you found links to resources to continue growing your knowledge. Outside of this book, though, I’d recommend you build upon this foundation by focusing on the...

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