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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

Clustering

Tableau gives you the ability to quickly perform clustering analysis in your visualizations. This allows you to find groups, or clusters, of individual data points that are similar based on any number of your choosing. This can be useful in many different industries and fields of study, as in the following examples:

  • Marketing may find it useful to determine groups of customers related to each other based on spending amounts, frequency of purchases, or times and days of orders.
  • Patient care directors in hospitals may benefit from understanding groups of patients related to each other based on diagnoses, medication, length of stay, and the number of readmissions.
  • Immunologists may search for related strains of bacteria based on drug resistance or genetic markers.
  • Renewable energy consultants may like to pinpoint clusters of windmills based on energy production and then correlate that with geographic location.

Tableau uses a standard...

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