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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

Product type Paperback

Published in Feb 2024

Publisher

ISBN-13 9781805126409

Length 340 pages

Edition 1st Edition

Languages

DAX

Tools

Power BI

Concepts

Data Analysis

Author (1):

Gus Frazer

View More author details

Table of Contents (23) Chapters

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

Why subscribe?

22. Other Books You May Enjoy

Technical requirements

Using the following link, you will find the uncleaned dataset to be used during this chapter: https://github.com/PacktPublishing/Data-Cleaning-with-Power-BI.

The rest of the chapter is locked

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Authors (1)

Frazer

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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