Book Image

Learning Tableau 2022 - Fifth Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2022 - Fifth Edition

By: Joshua N. Milligan

Overview of this book

Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features. This new edition is updated with Tableau’s latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau. After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data. You’ll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau’s Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder’s ability to efficiently clean and structure data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data.
Table of Contents (20 chapters)
18
Other Books You May Enjoy
19
Index

Map layers

Map layers were introduced in Tableau 2020.4 and make it easy to bring together a wide range of geospatial data from your data source(s) into a single map. Consider for example the Real Estate with Custom Territories data source we used in the previous example. It contains numerous geographic data, including:

  • City
  • State
  • Zip code
  • Region (created as a field-defined custom territory in the previous example)
  • Latitude and longitude (of the individual houses for sale)

Let’s say we want to create a map that brings much of this together, showing the individual houses as circles sized by price, along with an indication of the zip codes and the custom regions we defined previously with a label indicating the average price for the region.

The main key to leveraging layers is to make certain that Tableau’s special Longitude (generated) and Latitude (generated) are the fields used on Columns and Rows. Any geographic fields...