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

Visualizing distributions

Often, simply understanding totals, sums, and even the breakdown of part-to-whole only gives a piece of the overall picture. Most of the time, you’ll want to understand where individual items fall within a distribution of all similar items.

You might find yourself asking questions such as the following:

  • How much does each customer spend at our stores and how does that compare to all other customers?
  • How long do most of our patients stay in the hospital? Which patients fall outside the normal range?
  • What’s the average life expectancy for components in a machine and which last more than average? Are there any components with extremely long or extremely short lives?
  • How far above or below passing were students’ test scores?

These questions all have similarities. In each case, you seek an understanding of how individuals (customers, patients, components, and students) relate to the group. In each...