Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Data Cleaning with Power BI
Data Cleaning with Power BI

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

eBook
€15.99 €22.99
Paperback
€27.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Data Cleaning with Power BI

Part 1 – Introduction and Fundamentals

In this introductory part, you will embark on a foundational exploration of Power BI data cleaning, discovering the essential tools, understanding the significance of data quality, and grasping fundamental principles for effective data cleaning. You will gain hands-on experience in identifying and tackling common data challenges, setting the stage for a robust understanding of Power BI’s data cleaning processes.

This part has the following chapters:

  • 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
Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Implement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BI
  • Conduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M language
  • Apply your newfound knowledge to tackle common data challenges for visualizations in Power BI
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. 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 for effective data preparation.

Who is this book for?

If you’re a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It’s a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.

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 the M query language
  • Design clean and optimized data models by creating relationships and DAX calculations
  • Perform exploratory data analysis using Power BI
  • Address the most common data challenges with best practices
  • Explore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaning

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 29, 2024
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781805126409
Category :
Languages :
Concepts :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Feb 29, 2024
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781805126409
Category :
Languages :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 94.97 107.97 13.00 saved
The Definitive Guide to Power Query (M)
€28.99 €41.99
Data Cleaning with Power BI
€27.99
Mastering Microsoft Power BI – Second Edition
€37.99
Total 94.97 107.97 13.00 saved Stars icon
Banner background image

Table of Contents

22 Chapters
Part 1 – Introduction and Fundamentals Chevron down icon Chevron up icon
Chapter 1: Introduction to Power BI Data Cleaning Chevron down icon Chevron up icon
Chapter 2: Understanding Data Quality and Why Data Cleaning is Important Chevron down icon Chevron up icon
Chapter 3: Data Cleaning Fundamentals and Principles Chevron down icon Chevron up icon
Chapter 4: The Most Common Data Cleaning Operations Chevron down icon Chevron up icon
Part 2 – Data Import and Query Editor Chevron down icon Chevron up icon
Chapter 5: Importing Data into Power BI Chevron down icon Chevron up icon
Chapter 6: Cleaning Data with Query Editor Chevron down icon Chevron up icon
Chapter 7: Transforming Data with the M Language Chevron down icon Chevron up icon
Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) Chevron down icon Chevron up icon
Part 3 – Advanced Data Cleaning and Optimizations Chevron down icon Chevron up icon
Chapter 9: Advanced Data Cleaning Techniques Chevron down icon Chevron up icon
Chapter 10: Creating Custom Functions in Power Query Chevron down icon Chevron up icon
Chapter 11: M Query Optimization Chevron down icon Chevron up icon
Chapter 12: Data Modeling and Managing Relationships Chevron down icon Chevron up icon
Part 4 – Paginated Reports, Automations, and OpenAI Chevron down icon Chevron up icon
Chapter 13: Preparing Data for Paginated Reporting Chevron down icon Chevron up icon
Chapter 14: Automating Data Cleaning Tasks with Power Automate Chevron down icon Chevron up icon
Chapter 15: Making Life Easier with OpenAI Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(7 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




YAS May 07, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have been in analytics for well over two decades and this book is a must have for anyone in data analysis career stack. While this book focuses on the Power Bi stack, the techniques can be applied to others. This is what makes the book invaluable. Two major pitfalls one have to avoid, if possible, when writing, any data analysis book deals with being technically dense and long chapters. This work by Guz avoided these pitfalls.I really enjoyed the portion on how to use other Microsoft tools such as Power Automate to clean data. This is a hidden gem that I haven't fully utilized but will do in the near future. I also like the chapter on how to use AI to help in data cleansing. I believe this is invaluable in understanding how your data is structured and how AI can help you identify many anomalies.In conclusion, whether you are a novice starting on your data analysis journey or have been doing thi a long as I have, Guz has done a wonderful job on balancing both audiences. I wholeheartedly recommend this book be part of your reference library.--Yuhanna Sherriff
Amazon Verified review Amazon
ebun Apr 17, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book stands out as a data cleaning guide for your data cleaning task using Power BI. It starts from the very start of data issues, which involve data quality checks, to more advanced approaches like automating data cleaning tasks with Power Automate.One great thing about the book is its focus on data cleaning tasks, which makes it interesting to read about one of the most laborious tasks in the data field in a one-stop book.One aspect that I enjoyed most was the use of Table.Split functions, which were emphasized in the book to reduce query execution times by dividing large table into smaller partitions and enable parallel processing, are used to handle complex transformations.If you are passionate about M query optimization, there are goodies for you in this book.If you deal with data regularly, I can bet this is one of the books to have either to learn more or refresh your skills.
Amazon Verified review Amazon
Amazon Customer Jul 28, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data Cleaning with Power BI is a comprehensive guide that brilliantly covers all facets of data preparation and management within Power BI. Starting with the fundamentals of Power Query and DAX, the book delves into the critical aspects of data quality, providing practical steps for detecting issues early and maintaining data integrity. The sections on advanced techniques, including the use of R, Python, and AI, are particularly enlightening. Whether you're new to data cleaning or looking to refine your skills, this book is an invaluable resource for ensuring your data is accurate, reliable, and actionable.
Amazon Verified review Amazon
TickboxPhil Apr 28, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book manages to widen the focus from straight Power Query methods through data quality and modelling, so more than just the M language. But as M / Power Query is now included in Azure Data Factory as a full ETL solution, that's what makes it interesting to me again (together with alternatives like dbt and core Python code). Also included here is the newer Exploratory Data Analysis functionality and extras like fuzzy matching and fill down, integration of Python/R scripts etc (although watch out for Microsoft’s changing platform provision due to Fabric). Advanced methods like custom queries (including some web scraping), optimisation and data modelling are handled very practically. Paginated Reports is something invariably left out of Power BI but useful for real business, and Power Automate (eg. triggered on new data, and an interesting take on snapshotting) is also fully demonstrated. OpenAI’s ChatGPT and CoPilot are then brought in through Azure to contribute a further useful role.I did have to prod the author to get his GitHub repo cleaned up for data linking, but this book only recently published and he was very responsive and did the job – another bonus resource. Also, a fair amount of overview on data quality and ethics may get in the way of experienced data pro's but it's a good place to include it. The main text itself though operates at a detail level full of tips, and works nicely. I expected just a Power Query crash course, but was pleasantly surprised to find this wider angle, so well worth working through this useful guide.
Amazon Verified review Amazon
Sivanagaraju Gadiparthi Jul 13, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Data Cleaning with Power BI" by Gus Frazer is an indispensable guide for anyone looking to transform messy data into valuable insights. Published by Packt Publishing in February 2024, this book meticulously covers the essential aspects of data cleaning using Power BI, making it a must-read for data analysts, business intelligence professionals, and data scientists.Gus Frazer, an experienced analytics consultant, leverages his extensive background to provide a comprehensive manual that demystifies the complexities of data cleaning. The book is structured to take readers from the fundamentals to advanced techniques, ensuring a robust understanding of data quality issues and the importance of data cleaning.The initial chapters focus on the basics, such as understanding data quality and the principles of data cleaning. Frazer emphasizes the significance of clean data in decision-making and business outcomes, setting a strong foundation for the more technical content that follows. He provides practical insights into common data quality issues and effective strategies for addressing them.As the book progresses, Frazer delves into the technical aspects of Power BI, covering essential tools like Power Query and DAX. The chapters on data transformations and the M language are particularly valuable, offering detailed explanations and hands-on examples that help readers apply these techniques in real-world scenarios.The later chapters introduce more advanced topics, including the use of R and Python scripts for data cleaning and the integration of machine learning techniques. Frazer's step-by-step approach and clear explanations make these complex subjects accessible to readers with varying levels of expertise."Data Cleaning with Power BI" stands out for its practical approach, real-world examples, and the author's ability to convey complex information clearly and effectively. It's not just a technical manual but a roadmap for anyone looking to enhance their data cleaning skills using Power BI.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.