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

Animated visualizations

Previous versions of Tableau allowed rudimentary animation using the Pages shelf with playback controls. Tableau 2020.1 introduced true 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.

Enhancing analysis with animation

Consider the following bar chart, which shows the correlation of Sales and Profit for each Department:

...