Search icon CANCEL
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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

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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}