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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

Part 1 – Introduction and Fundamentals

Chapter 1: Introduction to Power BI Data Cleaning

Chapter 2: Understanding Data Quality and Why Data Cleaning is Important

Chapter 3: Data Cleaning Fundamentals and Principles

Chapter 4: The Most Common Data Cleaning Operations

Part 2 – Data Import and Query Editor

Chapter 5: Importing Data into Power BI

Chapter 6: Cleaning Data with Query Editor

Chapter 7: Transforming Data with the M Language

Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA)

Part 3 – Advanced Data Cleaning and Optimizations

Chapter 9: Advanced Data Cleaning Techniques

Chapter 10: Creating Custom Functions in Power Query

Chapter 11: M Query Optimization

Chapter 12: Data Modeling and Managing Relationships

Part 4 – Paginated Reports, Automations, and OpenAI

Chapter 13: Preparing Data for Paginated Reporting

Chapter 14: Automating Data Cleaning Tasks with Power Automate

Chapter 15: Making Life Easier with OpenAI

Assessments

Index

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Cleaning your data in Power BI

Data preparation typically involves cleaning, transforming, and structuring data into a format that is suitable for analysis. Power BI offers several tools to help with this process, including the Power Query Editor, data modeling, and DAX formulas. In the later chapters of this book, you will dive deeper into each of these tools. Here is an example of the Power Query Editor window accessed from within the Power BI Desktop application:

Figure 1.1 – User interface (UI)/toolbar of the Power Query Editor

Figure 1.1 – User interface (UI)/toolbar of the Power Query Editor

The Power Query Editor is a powerful tool that allows you to clean and transform data. It provides a user-friendly interface to perform various data transformation tasks, such as splitting columns, merging tables, filtering data, and removing duplicates. It also has several built-in functions to help you transform your data, such as date and text transformations.

Data modeling is another important aspect of Power BI...

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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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