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Learning Tableau 2020 - Fourth Edition

You're reading from  Learning Tableau 2020 - Fourth Edition

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781800200364
Pages 576 pages
Edition 4th Edition
Languages
Author (1):
Joshua N. Milligan Joshua N. Milligan
Profile icon Joshua N. Milligan

Table of Contents (19) Chapters

Preface 1. Taking Off with Tableau 2. Connecting to Data in Tableau 3. Moving Beyond Basic Visualizations 4. Starting an Adventure with Calculations and Parameters 5. Leveraging Level of Detail Calculations 6. Diving Deep with Table Calculations 7. Making Visualizations That Look Great and Work Well 8. Telling a Data Story with Dashboards 9. Visual Analytics – Trends, Clustering, Distributions, and Forecasting 10. Advanced Visualizations 11. Dynamic Dashboards 12. Exploring Mapping and Advanced Geospatial Features 13. Understanding the Tableau Data Model, Joins, and Blends 14. Structuring Messy Data to Work Well in Tableau 15. Taming Data with Tableau Prep 16. Sharing Your Data Story 17. Other Books You May Enjoy
18. Index

Using joins

A join at the physical level is a row-by-row matching of the data between tables. We'll look at some different types of joins and then consider how to leverage them in the physical layer of a data model.

Types of joins

In the physical layer, you may specify the following types of joins:

  • Inner: Only records that match the join condition from both the table on the left and the table on the right will be kept. In the following example, only three matching rows are kept in the results:

    Figure 13.12: Inner join

  • Left: All records from the table on the left will be kept. Matching records from the table on the right will have values in the resulting table, while unmatched records will contain NULL values for all fields from the table on the right. In the following example, the five rows from the left table are kept, with NULL results for any values in the right table that were not matched:

    Figure 13.13: Left join...

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