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Power Query Cookbook

Power Query Cookbook

By : Janicijevic
4.5 (14)
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Power Query Cookbook

Power Query Cookbook

4.5 (14)
By: Janicijevic

Overview of this book

Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements.
Table of Contents (12 chapters)
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Merging queries

Users usually need to merge data horizontally and enrich a table with additional columns that are not available within the main query when it is loaded from a data source.

In this recipe, you will see how to perform this merging and which steps to consider in order to get a successful result.

Getting ready

For this recipe, you need to download the following files:

  • FactInternetSales CSV file
  • DimTerritory 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 window with a preview of the data will pop up; click on Transform Data:
    Figure 5.1 – CSV data preview

    Figure 5.1 – CSV data preview

  3. Repeat these steps for the DimTerritory CSV file in order to end up with two...

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