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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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Toc

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

Summary


We've covered quite a bit of ground in this chapter! You should now have a good grasp of when to use certain types of visualizations. The types of questions you ask of the data will often lead you to a certain type of view. You've explored how to create these various types and how to extend basic visualizations using a variety of advanced techniques such as calculated fields, jittering, multiple mark types, and dual axis. Along the way, we've also covered some details on how dates work in Tableau and using the special Measure Names / Measure Values fields.

Hopefully, the examples using calculations in this chapter have to whet your appetite for learning more about calculated fields. The ability to create calculations in Tableau opens up endless possibilities for extending the analysis of the data, calculating results, customizing visualizations, and creating rich user interactivity. We'll dive deep into row level, aggregate, level of detail, and table calculations in the next two...

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