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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
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Part 4 – Paginated Reports, Automations, and OpenAI

In this last part of the book, you will explore paginated reports, automation through Power Automate, and the transformative potential of OpenAI. You will learn how to prepare data for paginated reporting in Power BI and leverage Power Automate as a powerful ally in data cleaning tasks. Later, you will discover how OpenAI technologies, such as ChatGPT, are revolutionizing data work, providing insights into simplifying tasks and staying ahead in the dynamic landscape of data management. This part serves as a bridge between traditional data practices and cutting-edge technologies, offering a holistic understanding of the evolving landscape of data management.

This part has the following chapters:

  • Chapter 13, Preparing Data for Paginated Reporting
  • Chapter 14, Automating Data Cleaning Tasks with Power Automate
  • Chapter 15, Making Life Easier with OpenAI
...

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