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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

Splitting columns

Often, different information is merged into one column and we need to define rules to split columns and separate the information. This recipe shows how you can split data by defining custom logic according to requirements.

Getting ready

For this recipe, you need to have Power BI Desktop running on your machine. You need to download the following file in a local folder:

  • 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. A window with a preview of the data will pop up; click on Transform Data.
  3. Browse to the OrderDate column and select it. Browse then to the Transform tab, click on Split Column, and then on By Delimiter as shown in the...
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