Data Cleaning with Power BI: The definitive guide to the subtle art of transforming dirty data into actionable insights

Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations
Key Features

• Best practices for using Power BI to connect, prepare, clean, and analyze multiple sources of data
• Create, clean, transform and carry out EDA (exploratory data analysis) using DAX, PowerQuery, and M language
• Apply the knowledge to tackle common data challenges for visualizations in Power BI

Book Description
Microsoft Power BI has been a leading business intelligence tool for many years now, offering a range of powerful data cleaning and preparation options through its suite of tools including DAX, Power Query, and M language.
This book serves as a comprehensive guide to Power BI data cleaning, starting with an introduction to data quality and the importance of data cleaning. You'll learn the fundamentals of data cleaning, including common data challenges and best practices for handling them. You'll discover how to import and clean data with Query Editor, and transform data using M query language in Power BI. As you move ahead, you'll explore how to leverage Power BI's data modeling capabilities to clean your data and establish relationships that make analysis easy. In the later chapters, you will learn about the best practices for data cleaning and automating tasks with Power Automate. Finally, you'll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier.
By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools to clean, transform and prepare your data for analysis and visualization.
What you will learn

• Connect to data sources using both import and DirectQuery options
• Use the Query Editor to apply data transformations
• Transform your data using M query language
• Design clean optimized data models by designing relationships and DAX calculations
• Use Power BI to carry out exploratory data analysis
• Tackle the most common data challenges with best practices
• Explore the benefits of using OpenAI and ChatGPT to simplify data cleaning

Who This Book Is For
This book would be useful for data analysts, business intelligence professionals, business analysts, data scientists, and anyone else who needs to work with data on a regular basis.
Additionally, the book would be helpful for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI.
Ideally if you have a basic knowledge of BI tools and concepts then this book will help you advance your skills in Power BI.
Table of Contents

• Introduction to Power BI Data Cleaning
• Understanding data quality and why data cleaning is important
• Data cleaning fundamentals & key principles
• Most common data challenges
• Importing Data Into Power BI
• Cleaning Data with Query Editor
• Transforming data with the M language
• Using data profiling for EDA (Exploratory Data Analysis)
• Advanced Data Cleaning Techniques
• Creating custom functions in Power Query
• M Query Optimisation
• Data Modelling and Managing Relationships
• Data Cleaning Best Practices
• Automating data cleaning tasks with Power Automate
• Making life easier with OpenAI