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Learning Tableau 2025

Learning Tableau 2025 - Sixth Edition

By : Joshua N. Milligan
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Learning Tableau 2025

Learning Tableau 2025

5 (1)
By: Joshua N. Milligan

Overview of this book

Tableau 2025 marks a new era in data visualization and analysis, bringing together advanced AI integrations and dynamic user experiences. This sixth edition, written by Tableau Visionary and Zen Master Joshua Miligan, is an end-to-end guide to mastering the latest innovations in Tableau that transform raw data into actionable insights. This edition introduces groundbreaking features like Tableau AI (including Tableau Pulse and Tableau Agent), enhancing your analytical capabilities with AI-driven data exploration and automated insights. With detailed walkthroughs, you’ll learn to build dynamic dashboards that respond to your data in real time and work with sophisticated AI functionalities that predict trends and model scenarios. Whether you're a seasoned data professional or new to Tableau, this book provides the tools you need to leverage Tableau’s full potential. From integrating diverse data sources using the enhanced data model to employing advanced geospatial functions for detailed mapping, every chapter is packed with expert knowledge and practical applications designed to put powerful analytics at your fingertips. *Email sign-up and proof of purchase required
Table of Contents (20 chapters)
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17
AI-Assisted Analysis: Tableau Agent and Tableau Pulse
18
Other Books You May Enjoy
19
Index

Exploring Mapping and Advanced Geospatial Features

Up until now, we’ve seen examples of maps and geospatial visualizations that leverage some of the basic functionality of Tableau. In this chapter, we’ll embark on a journey to uncover the vast range of mapping and geospatial features available. From using the built-in geospatial database and supplementing it with additional data and spatial files to using advanced geospatial functions, we’ll explore what’s possible with Tableau.

As we’ve done previously, this chapter will approach the concepts through some practical examples. These examples will span various industries, including real estate, transportation, and healthcare. As always, these examples are broadly applicable, and you’ll discover many ways to leverage your data and uncover answers in the spatial patterns you’ll find.

In this chapter, we’ll cover the following topics:

  • Overview of Tableau maps
  • ...
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Learning Tableau 2025
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