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Learning Tableau 2020

You're reading from   Learning Tableau 2020 Create effective data visualizations, build interactive visual analytics, and transform your organization

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800200364
Length 576 pages
Edition 4th Edition
Tools
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Author (1):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
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Table of Contents (19) Chapters Close

Preface 1. Taking Off with Tableau 2. Connecting to Data in Tableau FREE CHAPTER 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

Overview of advanced fixes for data problems

In addition to the techniques that we mentioned earlier in this chapter, there are some additional possibilities to deal with data structure issues. It is outside the scope of this book to develop these concepts fully. However, with some familiarity of these approaches, you can broaden your ability to deal with challenges as they arise:

  • Custom SQL: It can be used in the data connection to resolve some data problems. Beyond giving a field for a cross-database join, as we saw earlier, custom SQL can be used to radically reshape the data that's retrieved from the source. Custom SQL is not an option for all data sources, but it is an option for many relational databases. Consider a custom SQL script that takes the wide table of country populations we mentioned earlier in this chapter and restructures it into a tall table:
    SELECT [Country Name],[1960] AS Population, 1960 AS Year 
    FROM Countries 
     
    UNION ALL 
     
    SELECT...
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