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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

Joining methods

In the previous recipe, you had the chance to see how to perform a merge where you reference a main table enriched with data coming from another table with geographical details. In fact, there are many ways to join data on matching values following a logic that belongs to traditional relational databases—for example, left/right/full outer joins, inner joins, and left/right anti-joins. These different methods allow users to match data by applying custom logic.

In this recipe, you will see how you can effectively leverage some of the most popular joining methods.

Getting ready

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

  • FactInternetSales CSV file
  • DimTerritory2 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...
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