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Mastering Tableau 2023 - Fourth Edition

You're reading from Mastering Tableau 2023 - Fourth Edition

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781803233765

Pages 684 pages

Edition 4th Edition

Languages

Concepts

Business Intelligence

Author (1):

Marleen Meier

Table of Contents (19) Chapters

Preface

1. Reviewing the Basics

2. Getting Your Data Ready

3. Using Tableau Prep Builder

4. Learning about Joins, Blends, and Data Structures

5. Introducing Table Calculations

6. Utilizing OData, Data Densification, Big Data, and Google BigQuery

7. Practicing Level of Detail Calculations

8. Going Beyond the Basics

9. Working with Maps

10. Presenting with Tableau

11. Designing Dashboards and Best Practices for Visualizations

12. Leveraging Advanced Analytics

13. Improving Performance

14. Exploring Tableau Server and Tableau Cloud

15. Integrating Programming Languages

16. Developing Data Governance Practices

17. Other Books You May Enjoy

18. Index

Designing Dashboards and Best Practices for Visualizations

Now, we will delve into the essential principles and best practices of data visualization, focusing specifically on dashboard design. By exploring how to present data in a visually compelling and informative manner, you will gain the knowledge and learn techniques that will help to create impactful dashboards to effectively communicate insights, drive decision-making, and engage your audience. This chapter was influenced by some giants in data visualization: The Functional Art by Alberto Cairo, Information Dashboard Design by Stephen Few, The Big Book of Dashboards by Steve Wexley, Jeffrey Shaffer, and Andy Cotgraeve, Universal Principles of Design by William Lidwell, Kritina Holden, and Jill Butler, Data Story by Nancy Duarte, and The Visual Display of Quantitative Information by Edward Tufte.

In this chapter, we will cover the following topics:

Visualization design theory
Formatting rules
Color...

The rest of the chapter is locked

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Authors (1)

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

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