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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

Diving Deep with Table Calculations

Table calculations are one of the most powerful features in Tableau. They enable solutions that really couldn't be achieved any other way (short of writing a custom application or complex custom SQL scripts!). The features include the following:

  • They make it possible to use data that isn't structured well and still get quick results without waiting for someone to fix the data at the source.
  • They make it possible to compare and perform calculations on aggregate values across rows of the resulting table.
  • They open incredible possibilities for analysis and creative approaches to solving problems, highlighting insights, or improving the user experience.

Table calculations range in complexity, from incredibly easy to create (a couple of clicks) to extremely complex (requiring an understanding of addressing, partitioning, and data densification, for example). We'll start off simple and move toward complexity...

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