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Visual Analytics with Tableau

You're reading from   Visual Analytics with Tableau A four-color journey through a complete Tableau visualization

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Product type Paperback
Published in May 2017
Publisher Wiley
ISBN-13 9781119560203
Length 288 pages
Edition 1st Edition
Tools
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Author (1):
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Alexander Loth Alexander Loth
Author Profile Icon Alexander Loth
Alexander Loth
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Table of Contents (16) Chapters Close

1. Cover FREE CHAPTER
2. Foreword by Nate Vogel
3. Foreword by Sophie Sparkes
4. Introduction 5. Chapter 1: Introduction and Getting Started with Tableau 6. Chapter 2: Adding Data Sources in Tableau 7. Chapter 3: Creating Data Visualizations 8. Chapter 4: Aggregate Functions, Calculated Fields, and Parameters 9. Chapter 5: Table Calculations and Level of Detail Calculations 10. Chapter 6: Maps 11. Chapter 7: Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools 12. Chapter 8: Interactive Dashboards 13. Chapter 9: Sharing Insights with Colleagues and the World 14. Chapter 10: Data Preparation with Tableau Prep 15. Index
16. End User License Agreement

REFLECTION: THE ANATOMY OF A TABLEAU MAP

When you create a map by adding a geographic field (a dimension marked with the globe symbol) to the view, the following processes happen in the background:

  • Tableau looks up the longitude and latitude of the geographic entries and adds the information to two new fields. These fields are added to the Rows and Column shelves and provide the coordinates for the chart's marks.
  • In the case of filled maps, Tableau looks up the shapes of the different geographic areas and styles the marks accordingly.
  • Tableau also adds a background map to provide more context for the individual marks. By default, this map is provided by OpenStreetMap.

You can manually intervene in all three of these processing steps, to fine‐tune your chart or to create even more advanced maps.

If a dimension is not recognized as a geographic field, you can provide the coordinates manually by adding latitude and longitude as separate fields. For example, you may have a list...

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