What’s new in this edition? The most significant addition to this edition is a new chapter dedicated to extending the functionality of Tableau using dashboard extensions, Python and R scripts, and AI (via Einstein Analytics). This is truly exciting because it opens the possibilities of creating richer UI and integrations, exploring deeper analytics, and leveraging advanced statistical models and machine learning. You’ll also find a wide variety of new features, user interface updates, and detailed explanations of concepts that weren’t covered as deeply in the previous editions. Key features Clean, structure, and prepare your data using calculations and Tableau Prep Builder Improve data analysis with geospatial mapping, integrated programming languages, and AI capabilities Build a culture of data literacy within your organization and optimize your BI abilities What is your favorite chapter or topic and why? Each topic that I consider has incredible significance, for example, the first few chapters that lay the foundation of the Tableau paradigm, the chapters that cover when and how to use specific visualizations to uncover and communicate insights, and the chapter on visual analytics that describes some of the deeper statistical capabilities of Tableau. But the one topic that many readers continue to find useful is that of structuring and fixing messy data. Real-world data is often not what you find in training classes or online examples. It’s a mess! Understanding how to get your data ready for analysis by cleaning and structuring it using Tableau and Tableau Prep is key to success. What will readers be capable of after reading the book? By the end of the book, you’ll come away with a deep foundation for how to use Tableau to see and understand your data. The book covers the major Tableau features and capabilities to enable you to develop a strong understanding of how and why to use those features as you get to grips with the basic paradigm of Tableau, creating specific types of visualizations that uncover insight from the data, structuring and cleaning data for analysis, designing rich interactive dashboards, and leveraging advanced features for even deeper insight.
✔ Author(s): Joshua N. Milligan,Blair Hutchinson,Mark Tossell,Roberto Andreoli
✔ Title: Learning Tableau 2022: Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities, 5th Edition
✔ Rating : 4.7 out of 5 base on (53 reviews)
✔ ISBN-10: 1801072329
✔ ISBN-13: 9781801072328
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Learning Tableau 2022 by Joshua N. Milligan
Lucy Garraway
The way the author handled complex emotions and relationships was remarkable. I felt deeply connected to the characters, and their growth throughout the story was both inspiring and moving.
Katherine Stevenson
I'm already planning to reread this book. It's one of those stories that you can revisit again and again, discovering new layers of meaning each time.
Aileen Menzie
The characters in this book felt like old friends, and I was sad to say goodbye to them at the end. It's a testament to the author's talent for creating memorable and relatable personas.
