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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

Parsing JSON or XML

We may sometimes find mixed data structures within the same query. In this recipe, we will see how to deal with mixed data structures when single columns within a table contain JSON data structure. The same reasoning would apply to XML structure too.

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: 

  • InternetSales 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 InternetSales CSV file and open it. The following window with a preview of the data will pop up. Click on Transform Data:
    Figure 4.49 – CSV data preview

    Figure 4.49 – CSV data preview

  3. Browse to the Home tab and click on Use First Row as Headers...
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