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

Animated visualizations

Previous versions of Tableau allowed rudimentary animation using the Pages shelf with playback controls. Newer versions of Tableau include Mark Animation, which means marks smoothly transition when you apply filters, sorting, or page changes. Consider leveraging animation to extend your analytical potential in a couple of ways:

  1. Turn it on while exploring and analyzing your data. This allows you to gain analytical insights you might otherwise miss, such as seeing how far and in which direction marks in a scatterplot move as a filter changes.
  2. Use it strategically to enhance the data story. Animation can be used to capture interest, draw attention to important elements, or build suspense toward a conclusion.

We’ll consider both approaches to animation in the following examples.