Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Data Cleaning with Power BI
  • Table Of Contents Toc
Data Cleaning with Power BI

Data Cleaning with Power BI

By : Gus Frazer
5 (7)
Buy this Book
close
close
Data Cleaning with Power BI

Data Cleaning with Power BI

5 (7)
By: Gus Frazer
Buy this Book

Overview of this book

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.
Table of Contents (23 chapters)
close
close
close
Preface
Icon
Preface
Icon
Who this book is for
Icon
What this book covers
Icon
To get the most out of this book
Icon
Download the example code files
Icon
Conventions used
Icon
Get in touch
Icon
Share Your Thoughts
Icon
Download a free PDF copy of this book
Lock Free Chapter
1
Part 1 – Introduction and Fundamentals
Icon
Part 1 – Introduction and Fundamentals
2
Chapter 1: Introduction to Power BI Data Cleaning
Icon
Chapter 1: Introduction to Power BI Data Cleaning
Icon
Technical requirements
Icon
Cleaning your data in Power BI
Icon
Understanding Power Query
Icon
Understanding DAX
Icon
Where do we begin with data?
Icon
Summary
Icon
Questions
3
Chapter 2: Understanding Data Quality and Why Data Cleaning is Important
Icon
Chapter 2: Understanding Data Quality and Why Data Cleaning is Important
Icon
What is data quality?
Icon
Where do data quality issues come from?
Icon
The role of data cleaning in improving data quality
Icon
Best practices for data quality overall
Icon
Summary
Icon
Questions
4
Chapter 3: Data Cleaning Fundamentals and Principles
Icon
Chapter 3: Data Cleaning Fundamentals and Principles
Icon
Defining data cleaning
Icon
Who’s responsible for cleaning data?
Icon
Building a process for cleaning data
Icon
Understanding quality over quantity in data cleaning
Icon
Summary
Icon
Questions
5
Chapter 4: The Most Common Data Cleaning Operations
Icon
Chapter 4: The Most Common Data Cleaning Operations
Icon
Technical requirements
Icon
Removing duplicates
Icon
Removing missing data
Icon
Splitting columns
Icon
Merging columns
Icon
Replacing values
Icon
Creating calculated columns versus measures
Icon
Summary
Icon
Questions
6
Part 2 – Data Import and Query Editor
Icon
Part 2 – Data Import and Query Editor
7
Chapter 5: Importing Data into Power BI
Icon
Chapter 5: Importing Data into Power BI
Icon
Technical requirements
Icon
Understanding data completeness
Icon
Understanding data accuracy
Icon
Understanding data consistency
Icon
Assessing data relevance
Icon
Assessing data formatting
Icon
Assessing data normalization, denormalization, and star schemas
Icon
Summary
Icon
Questions
8
Chapter 6: Cleaning Data with Query Editor
Icon
Chapter 6: Cleaning Data with Query Editor
Icon
Technical requirements
Icon
Understanding the Query Editor interface
Icon
Data cleaning techniques and functions
Icon
Using Query Editor versus DAX for transformation
Icon
Summary
Icon
Questions
Icon
Further reading
9
Chapter 7: Transforming Data with the M Language
Icon
Chapter 7: Transforming Data with the M Language
Icon
Technical requirements
Icon
Understanding the M language
Icon
Filtering and sorting data with M
Icon
Transforming data with M
Icon
Working with data sources in M
Icon
Summary
Icon
Questions
10
Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA)
Icon
Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA)
Icon
Understanding EDA
Icon
Exploring data profiling features in Power BI
Icon
Reviewing column quality, distribution, and profile
Icon
Turning data profiles into high-quality data
Icon
Summary
Icon
Questions
11
Part 3 – Advanced Data Cleaning and Optimizations
Icon
Part 3 – Advanced Data Cleaning and Optimizations
12
Chapter 9: Advanced Data Cleaning Techniques
Icon
Chapter 9: Advanced Data Cleaning Techniques
Icon
Technical requirements
Icon
Using Power Query Editor from within Dataflow Gen1 – fuzzy matching and fill down
Icon
Using R and Python scripts
Icon
Using ML to clean data
Icon
Summary
Icon
Questions
13
Chapter 10: Creating Custom Functions in Power Query
Icon
Chapter 10: Creating Custom Functions in Power Query
Icon
Planning for your custom function
Icon
Using parameters
Icon
Creating custom functions
Icon
Summary
Icon
Questions
14
Chapter 11: M Query Optimization
chevron up
Icon
Chapter 11: M Query Optimization
Icon
Technical requirements
Icon
Creating custom functions
Icon
Filtering and reducing data
Icon
Using native M functions
Icon
Optimizing memory usage
Icon
Parallel query execution
Icon
Summary
Icon
Questions
Icon
Further reading
15
Chapter 12: Data Modeling and Managing Relationships
Icon
Chapter 12: Data Modeling and Managing Relationships
Icon
Understanding the basics of data modeling
Icon
Using bidirectional cross-filtering
Icon
Understanding what’s the right cardinality
Icon
Handling large and complex datasets
Icon
Avoiding circular references
Icon
Summary
Icon
Questions
Icon
Further reading
16
Part 4 – Paginated Reports, Automations, and OpenAI
Icon
Part 4 – Paginated Reports, Automations, and OpenAI
17
Chapter 13: Preparing Data for Paginated Reporting
Icon
Chapter 13: Preparing Data for Paginated Reporting
Icon
Technical requirements
Icon
Understanding the importance of paginated reports
Icon
Connecting to data sources within Power BI Report Builder
Icon
Data preparation
Icon
Using filters and parameters
Icon
Using row groups/column groups
Icon
Summary
Icon
Questions
18
Chapter 14: Automating Data Cleaning Tasks with Power Automate
Icon
Chapter 14: Automating Data Cleaning Tasks with Power Automate
Icon
Technical requirements
Icon
Handling triggers for automation
Icon
Automating notifications
Icon
Automating refreshing of data
Icon
Best practices with Power Automate
Icon
Summary
Icon
Questions
Icon
Further reading
19
Chapter 15: Making Life Easier with OpenAI
Icon
Chapter 15: Making Life Easier with OpenAI
Icon
Optimizing efficiency with OpenAI, ChatGPT, and DAX
Icon
Using OpenAI for M queries
Icon
Using Microsoft Copilot
Icon
Tackling challenges with AI
Icon
Summary
Icon
Questions
Icon
Further reading
Icon
Putting it together
20
Assessments
Icon
Chapter 1 – Introduction to Power BI Data Cleaning
Icon
Chapter 2 – Understanding Data Quality and Why Data Cleaning is Important
Icon
Chapter 3 – Data Cleaning Fundamentals and Principles
Icon
Chapter 4 – The Most Common Data Cleaning Operations
Icon
Chapter 5 – Importing Data into Power BI
Icon
Chapter 6 – Cleaning Data with Query Editor
Icon
Chapter 7 – Transforming Data with the M Language
Icon
Chapter 8 – Using Data Profiling for Exploratory Data Analysis (EDA)
Icon
Chapter 9 – Advanced Data Cleaning Techniques
Icon
Chapter 10 – Creating Custom Functions in Power Query
Icon
Chapter 11 – M Query Optimization
Icon
Chapter 12 – Data Modeling and Managing Relationships
Icon
Chapter 13 – Preparing Data for Paginated Reporting
Icon
Chapter 14 – Automating Data Cleaning Tasks with Power Automate
Icon
Chapter 15 – Making Life Easier with OpenAI
21
Index
Icon
Index
Icon
Why subscribe?
22
Other Books You May Enjoy
Icon
Other Books You May Enjoy
Icon
Packt is searching for authors like you
Icon
Share Your Thoughts
Icon
Download a free PDF copy of this book

Using native M functions

As highlighted earlier in this book, M, the language behind Power Query, offers a rich library of native functions designed for data transformation. Leveraging these functions can often be more efficient than custom code.

For instance, let’s say you need to standardize product names by converting them to title case. Instead of writing custom code, you can utilize the Text.ToTitleCase function, making your query more concise and performant.

Here is an example of doing just this:

let
    Source = ... // Your data source
    StandardizedData = Table.TransformColumns(Source, {"ProductName", Text.ToTitleCase})
in
    StandardizedData

In this code, we use the Table.TransformColumns function along with the Text.ToTitleCase function to standardize product names. Native functions are highly optimized for their specific tasks, resulting in more efficient and faster queries.

The...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Data Cleaning with Power BI
End of Section 14
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options
font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon