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Data Cleaning with Power BI
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Data Cleaning with Power BI
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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)
Preface
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Part 1 – Introduction and Fundamentals
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Chapter 1: Introduction to Power BI Data Cleaning
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Chapter 2: Understanding Data Quality and Why Data Cleaning is Important
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Chapter 3: Data Cleaning Fundamentals and Principles
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Chapter 4: The Most Common Data Cleaning Operations
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Part 2 – Data Import and Query Editor
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Chapter 5: Importing Data into Power BI
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Chapter 6: Cleaning Data with Query Editor
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Chapter 7: Transforming Data with the M Language
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Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA)
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Part 3 – Advanced Data Cleaning and Optimizations
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Chapter 9: Advanced Data Cleaning Techniques
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Chapter 10: Creating Custom Functions in Power Query
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Chapter 11: M Query Optimization
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Chapter 12: Data Modeling and Managing Relationships
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Part 4 – Paginated Reports, Automations, and OpenAI
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Chapter 13: Preparing Data for Paginated Reporting
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Chapter 14: Automating Data Cleaning Tasks with Power Automate
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Chapter 15: Making Life Easier with OpenAI
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Assessments
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Index
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Other Books You May Enjoy
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