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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

Designing a report with diagnostics results

Once you have run the query diagnostics, it is important to know how to interpret these results. By just reading data from Power Query in a table, you can miss out on some relevant information. The best way to avoid this is to create a report on top of it by importing the diagnostics queries into a Power BI model and building visuals that can make sense out of that data.

Getting ready

For 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 load it two times in order to make a comparison later in the recipe. You should have the following view:

    Figure 10.12 – Queries pane

  3. Rename the FactInternetSales...
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