Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Tableau 2020

You're reading from   Learning Tableau 2020 Create effective data visualizations, build interactive visual analytics, and transform your organization

Arrow left icon
Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800200364
Length 576 pages
Edition 4th Edition
Tools
Arrow right icon
Author (1):
Arrow left icon
Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
Arrow right icon
View More author details
Toc

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

Using geospatial data

We've seen that with any data source, Tableau supplies Latitude (generated) and Longitude (generated) fields based on any fields it matches with its internal geographic database. Fields such as country, state, zip code, MSA, and congressional district are contained in Tableau's internal geography. As Tableau continues to add geographic capabilities, you'll want to consult the documentation to determine specifics on what the internal database contains.

However, you can also leverage specific geospatial data in your visualizations. We'll consider ways to use data that enable geospatial visualizations, including the following:

  • Including Latitude and Longitude as values in your data.
  • Importing a .csv file containing definitions of Latitude and Longitude into Tableau's database.
  • Leveraging Tableau's ability to connect to various spatial files or databases that natively support spatial objects.
...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at AU $24.99/month. Cancel anytime