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Learning Tableau

You're reading from   Learning Tableau Leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784391164
Length 340 pages
Edition 1st 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 (13) Chapters Close

Preface 1. Creating Your First Visualizations and Dashboard FREE CHAPTER 2. Working with Data in Tableau 3. Moving from Foundational to Advanced Visualizations 4. Using Row-level and Aggregate Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Adding Value to Analysis – Trends, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Techniques, Tips, and Tricks 11. Sharing Your Data Story Index

Mapping techniques

We've touched on geographic visualization throughout the book. You've seen symbol maps and filled maps. Here, we'll examine an example using a custom geocoding technique and custom shapes to give some idea of what is possible.

Supplementing the standard geographic data

We saw in Chapter 1, Creating Your First Visualizations and Dashboard, that Tableau generates the Latitude and Longitude fields when the data source contains geographic fields, which Tableau can match with its internal geographic database. Fields such as country, state, zip code, MSA, and congressional district are contained in Tableau's internal geography.

However, if you have latitude and longitude in your dataset or are able to supplement your data source with that data, you can create geographic visualizations with great precision. There are several options for supplying latitude and longitude for use in Tableau:

  • Include latitude and longitude as fields in your data source. If possible...
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