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

Leveraging spatial functions

Tableau continues to add native support for spatial functions. At the time of writing, Tableau supports the following functions:

  • Area() returns the total area of a polygon spatial object. You may specify the units of measurement as either meters, kilometers, miles, or feet.
  • Makeline() returns a line spatial object given two points.
  • Makepoint() returns a point spatial object given two coordinates.
  • Distance() returns the distance between two points in the desired units of measurement.
  • Buffer() creates a circle around a point with a radius of the given distance. As with the Area function, you may specify the units of measurement.

We’ll explore a few of these functions using the Hospital and Patients dataset in the Chapter 12 workbook. The dataset reimagines the real estate data as a hospital surrounded by patients, indicated in the following view by the difference in Shape, Size, and Color:

Figure...