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Power Query Cookbook

You're reading from   Power Query Cookbook Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800569485
Length 412 pages
Edition 1st Edition
Languages
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Author (1):
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Andrea Janicijevic Andrea Janicijevic
Author Profile Icon Andrea Janicijevic
Andrea Janicijevic
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Power Query 2. Chapter 2: Connecting to Fetch Data FREE CHAPTER 3. Chapter 3: Data Exploration in Power Query 4. Chapter 4: Reshaping Your Data 5. Chapter 5: Combining Queries for Efficiency 6. Chapter 6: Optimizing Power Query Performance 7. Chapter 7: Leveraging the M Language 8. Chapter 8: Adding Value to Your Data 9. Chapter 9: Performance Tuning with Power BI Dataflows 10. Chapter 10: Implementing Query Diagnostics 11. Other Books You May Enjoy

Using M and DAX – differences

Generally, when you are presented with Power BI as a business intelligence tool and start exploring Power Query in it, you will use two code languages that have similar functionalities – DAX and M code – and you will probably get confused by these similarities. In this recipe, we will discuss the main differences between these two languages and when it is better to use one instead of the other. To illustrate the main differences between them, we will create an additional column with both M code and DAX.

Getting ready

In this recipe, you need to download the FactInternetSales.csv file.

In this example, we will refer to the C:\Data folder.

How to do it…

Once you open your Power BI Desktop application, you are ready to perform the following steps:

  1. Click on Get Data and select the Text/CSV connector.
  2. Browse to your local folder where you downloaded the FactInternetSales.csv file and open it. The following...
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