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Data Cleaning with Power BI

You're reading from Data Cleaning with Power BI

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781805126409

Pages 340 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Gus Frazer

Table of Contents (23) Chapters

Preface

1. Part 1 – Introduction and Fundamentals

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

Why subscribe?

22. Other Books You May Enjoy

Introduction to Power BI Data Cleaning

Although not definitive, it’s generally accepted that when creating data visualizations, cleaning and preparing data can often account for as much as 50-80% of the overall time spent on a data visualization project. Power BI provides you with some great tools to carry this out and so we will dive deeper into what is available during this chapter.

In this chapter, we’re going to cover the following main topics:

Cleaning your data in Power BI
Understanding Power Query
Understanding Data Analysis Expressions (DAX)
Where do we begin with data?

After this chapter, you will understand with confidence which tools are available within Power BI to help prepare your data for analysis, how to navigate around Power Query, and then what to consider when getting started with preparing your data for analysis.

The rest of the chapter is locked

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Authors (1)

Gus Frazer

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.

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