Book Image

Learning Tableau 2020 - Fourth Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2020 - Fourth Edition

By: Joshua N. Milligan

Overview of this book

Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics. The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data. This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep’s ability to clean and structure data and share the stories contained in your data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making.
Table of Contents (19 chapters)
9
Visual Analytics – Trends, Clustering, Distributions, and Forecasting
17
Other Books You May Enjoy
18
Index

Exploring Mapping and Advanced Geospatial Features

Up until now, we've seen examples of maps and geospatial visualizations that leverage some of the basic functionality of Tableau. In this chapter, we'll embark on a journey to uncover the vast range of mapping and geospatial features available. From levering the built-in geospatial database and supplementing it with additional data and spatial files, to using advanced geospatial functions, we'll explore what's possible with Tableau.

As we've done previously, this chapter will approach the concepts through some practical examples. These examples will span various industries, including real estate, transportation, and healthcare. As always, these examples are broadly applicable, and you'll discover many ways to leverage your data and uncover answers in the spatial patterns you'll find.

In this chapter, we'll cover the following topics:

  • Overview of Tableau maps
  • Rendering...