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
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19
Index

Advanced Visualizations

We’ve explored many different types of visualizations and considered which types of questions they best answer. For example, bar charts aid in comparing values; line charts can show changes and trends over time; stacked bars and treemaps help us see part-to-whole relationships; box plots help us understand distributions and outliers. We’ve also seen how to enhance our understanding and data storytelling with calculations, annotations, formatting, and reference lines. With this knowledge as a foundation, we’ll expand the possibilities of data analysis with some advanced visualizations.

These are only examples of Tableau’s amazing flexibility and are meant to inspire you to think through new ways of seeing, understanding, and communicating your data. These are not designed as complex charts for the sake of complexity, but rather to spark creativity and interest to effectively communicate data.

We’ll consider the following...