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Tableau 10 Complete Reference

You're reading from   Tableau 10 Complete Reference Transform your business with rich data visualizations and interactive dashboards with Tableau 10

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789957082
Length 496 pages
Edition 1st Edition
Tools
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Authors (2):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
Tristan Guillevin Tristan Guillevin
Author Profile Icon Tristan Guillevin
Tristan Guillevin
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Table of Contents (20) Chapters Close

Title Page
About Packt
Contributors
Preface
1. Creating Your First Visualizations and Dashboard 2. Working with Data in Tableau FREE CHAPTER 3. Moving from Foundational to More Advanced Visualizations 4. Using Row-Level, Aggregate, and Level of Detail Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Deeper Analysis - Trends, Clustering, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Visualizations, Techniques, Tips, and Tricks 11. Sharing Your Data Story 12. Catching Up with Tableau 2018 13. Deal with Security 14. How to Keep Growing Your Skills 1. Other Books You May Enjoy Index

Overview of advanced fixes for data problems


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

  1. Custom SQL: This can be used in the data connection to resolve some data problems. Beyond giving a field for a cross database join, as we saw previously, custom SQL can be used to radically reshape the data retrieved from the source. Custom SQL is not an option for all data sources but is for many relational databases and for the legacy JET driver connections for Excel and text files. Consider a custom SQL script that takes the wide table of country populations mentioned earlier in this chapter and restructures it into a tall table:
        SELECT [Country Name],[1960] AS Population, 1960 AS Year 
        FROM...
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