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Learning Tableau 2022

You're reading from   Learning Tableau 2022 Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801072328
Length 568 pages
Edition 5th 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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Toc

Table of Contents (20) Chapters Close

Preface 1. Taking Off with Tableau FREE CHAPTER 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. Integrating Advanced Features: Extensions, Scripts, and AI 14. Understanding the Tableau Data Model, Joins, and Blends 15. Structuring Messy Data to Work Well in Tableau 16. Taming Data with Tableau Prep 17. Sharing Your Data Story 18. Other Books You May Enjoy
19. Index

Summary

When you are ready to share your discovery and analysis, you will likely use dashboards to relate the story to your audience. The way in which you tell the story will depend on your objectives, as well as your audience and the mode of delivery. Using a combination of views, objects, parameters, filters, and legends, you can create an incredible framework for telling a data story. Tableau allows you to specifically design layouts for different devices to ensure that your audience has the best experience possible. By introducing actions and interactivity, you can invite your audience to participate in the story. Story points will allow you to bring together many snapshots of dashboards and views to craft and present entire narratives.

In the next chapter, we’ll turn our attention to some deeper analysis involving trends, distributions, forecasting, and clustering.

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