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Data Cleaning with Power BI

You're reading from   Data Cleaning with Power BI The definitive guide to transforming dirty data into actionable insights

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Product type Paperback
Published in Feb 2024
Publisher
ISBN-13 9781805126409
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Gus Frazer Gus Frazer
Author Profile Icon Gus Frazer
Gus Frazer
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Table of Contents (23) Chapters Close

Preface 1. Part 1 – Introduction and Fundamentals FREE CHAPTER
2. Chapter 1: Introduction to Power BI Data Cleaning 3. Chapter 2: Understanding Data Quality and Why Data Cleaning is Important 4. Chapter 3: Data Cleaning Fundamentals and Principles 5. Chapter 4: The Most Common Data Cleaning Operations 6. Part 2 – Data Import and Query Editor
7. Chapter 5: Importing Data into Power BI 8. Chapter 6: Cleaning Data with Query Editor 9. Chapter 7: Transforming Data with the M Language 10. Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) 11. Part 3 – Advanced Data Cleaning and Optimizations
12. Chapter 9: Advanced Data Cleaning Techniques 13. Chapter 10: Creating Custom Functions in Power Query 14. Chapter 11: M Query Optimization 15. Chapter 12: Data Modeling and Managing Relationships 16. Part 4 – Paginated Reports, Automations, and OpenAI
17. Chapter 13: Preparing Data for Paginated Reporting 18. Chapter 14: Automating Data Cleaning Tasks with Power Automate 19. Chapter 15: Making Life Easier with OpenAI 20. Assessments 21. Index 22. Other Books You May Enjoy

Understanding Power Query

As mentioned, Power Query is a powerful data transformation and preparation tool within Microsoft Power BI. It allows users to extract, transform, and load (more commonly known in the industry as ETL) data from various sources, enabling efficient data cleaning, shaping, and integration for analysis and reporting. In this chapter, we will delve into the details of Power Query, exploring its functionality, features, and UI.

Rather than a query language as such, Power Query is primarily accessed and used through the Power Query Editor UI. An example of this view is shown next:

Figure 1.3 – UI of the Power Query Editor

Figure 1.3 – UI of the Power Query Editor

This UI is the hub for cleaning and preparing data within Power BI. It allows users such as yourself to connect to a wide range of data sources and apply transformations within the UI. As you begin to clean and prepare data, Power Query then tracks the steps of your cleaning process.

The actual language...

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