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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 first rows as headers

When working with unstructured data, there is no data structure defined and the schema has to be determined at the Power Query level. In the previous recipe, we saw how data type is detected, while in this one we will see how you can define columns' headers.

Getting ready

In this recipe, you need to download the following file in a local folder:

  • FactResellerSales2 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 FactResellerSales2 CSV file and open it. A window with a preview of the data will pop up; click on Transform Data.
  3. The usual Power Query window will pop up and it is easy to note that this data needs to be cleaned because we do not have headers and the first row contains data...
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