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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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Free Chapter
1
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

Creating calculated columns versus measures

When preparing data for analysis in Power BI, we often need to add additional data to the model (often derived from existing data). This can often come in the form of using DAX to either create a measure or an additional column. This could be for a new value we need or a new dimension. Before understanding which option is best, it’s important to understand what the difference is between a calculated column and a measure within Power BI.

The best way to add a new measure or column is to first navigate to Table view on the far-left toolbar.

The view will automatically jump to the Table tools tab along the top toolbar, which will then present you with the following options for calculations: New measure, Quick measure, New column, and New table, as shown:

Figure 4.16 – The Calculations section within the Table view of Power BI

Figure 4.16 – The Calculations section within the Table view of Power BI

It’s important to note that if you are working from Model view...

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