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Data Cleaning with Power BI

Data Cleaning with Power BI

By : Frazer
5 (7)
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Data Cleaning with Power BI

Data Cleaning with Power BI

5 (7)
By: Frazer

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)
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Part 1 – Introduction and Fundamentals
6
Part 2 – Data Import and Query Editor
11
Part 3 – Advanced Data Cleaning and Optimizations
16
Part 4 – Paginated Reports, Automations, and OpenAI

Understanding what’s the right cardinality

In the realm of Power BI data modeling, the concept of cardinality plays a pivotal role, influencing the dynamics of relationships between tables. Cardinality essentially defines how tables are interconnected, laying the groundwork for precise and efficient report generation. To grasp cardinality, imagine it as the rulebook that dictates how rows in one table relate to rows in another. A robust understanding of cardinality is fundamental for anyone creating a Power BI data model, as it underpins the accuracy and efficiency of subsequent reporting.

In this section, we’ll explore what cardinality is, why it’s essential, and how to make the right choices to ensure your data model is both accurate and high-performing. Let’s start!

Understanding cardinality

Cardinality is all about defining the nature of the relationship between two tables. It answers questions such as “For each row in Table A, how many...

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