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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

Using Data Profiling for Exploratory Data Analysis (EDA)

In today’s data-centric world, the ability to extract actionable insights from your data is not just a competitive advantage, it’s a necessity. To help you harness the full potential of your data, we will delve deep into the world of Power BI, where data profiling takes center stage in the art of Exploratory Data Analysis (EDA).

Imagine having a tool that not only helps you explore your data but also illuminates the path to better decision-making. Power BI’s data profiling features do just that. In this chapter, we will guide you through the process of activating and using these features effectively.

We will go through the following topics:

  • Understanding EDA
  • Exploring the data profiling features in Power BI
  • Reviewing column quality, distribution, and profile
  • Turning data profiles into high-quality data

By the end of this chapter, you’ll be armed with the skills and...

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