Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights - Softcover

Frazer, Gus

Softcover

ISBN 10: 1805126407 ISBN 13: 9781805126409

Publisher: Packt Publishing, 2024

Synopsis

Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations

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

Book Description

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.

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

Who this book is for

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.

Table of Contents

1. Introduction to Power BI Data Cleaning
2. Understanding Data Quality and Why Data Cleaning is Important
3. Data Cleaning Fundamentals and Principles
4. The Most Common Data Cleaning Operations
5. Importing Data into Power BI
6. Cleaning Data with Query Editor
7. Transforming Data with the M Language
8. Using Data Profiling for Exploratory Data Analysis (EDA)
9. Advanced Data Cleaning Techniques
10. Creating Custom Functions in Power Query
11. M Query Optimization
12. Data Modeling and Managing Relationships
13. Preparing Data for Paginated Reporting
14. Automating Data Cleaning Tasks with Power Automate
15. Making Life Easier with OpenAI

About this title

About the Author

Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.

Edition details

• Publisher: Packt Publishing
• Publication date: 2024
• Language: English
• ISBN 10: 1805126407
• ISBN 13: 9781805126409
• Binding: Paperback
• Edition number: 1
• Number of pages: 340