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.
publication date
2024-02-29
what you will learn
Connect to data sources using both import and DirectQuery options
Use the Query Editor to apply data transformations
Transform your data using the M query language
Design clean and optimized data models by creating relationships and DAX calculations
Perform exploratory data analysis using Power BI
Address the most common data challenges with best practices
Explore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaning
key features
Implement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BI * Conduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M language * Apply your newfound knowledge to tackle common data challenges for visualizations in Power BI * Purchase of the print or Kindle book includes a free PDF eBook
approach
This hands-on guide provides readers with a strong foundation of best practices and practical tips for data cleaning in Power BI. With each chapter, readers can follow along with real-world examples using a test dataset, gaining hands-on skills and building confidence in their ability with DAX, PowerQuery, and other key tools
audience
If you’re a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It’s a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.
short description
Unlock the benefits of Power BI’s data cleaning capabilities to simplify the process of preparing data for analysis with this guide to transforming your data using tools like DAX, PowerQuery, and M language to build compelling visualizations.
subtitle
The definitive guide to transforming dirty data into actionable insights
keywords
qualitative data analysis; data visualization book; visualizing data; data processing; Power BI books; Power BI cheat sheet; Power BI quick start guide; Data analysis books
Product ISBN
9781805126409
