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Tableau Desktop Playbook: Building Common Chart Types

Build or enhance your data visualization and analysis toolkit by learning how to read and build over 35 different charts. You'll learn concepts that will unlock the mystery of what Tableau is going to draw as you drag and drop.

Adam Crahen - Pluralsight course - Tableau Desktop Playbook: Building Common Chart Types
by Adam Crahen

What you'll learn

At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of choosing the right chart for the right job. Tableau helps people see and understand their data, but you need to know the why and the how in order to be effective. In this course, Tableau Desktop Playbook: Building Common Chart Types, you will build or enhance your data visualization toolkit by learning how to read, build, and format over 35 different charts while mastering foundational and advanced concepts along the way. First, you will learn how to present distributions and comparisons of data using bar charts. Next, you will see how to present data over time with line charts. Finally, you will discover how to unlock additional context with statistical, non-standard, and advanced charts. When you’re finished with this course, you will have the skills and knowledge of data visualization needed to build the right analysis for your data. Software required: Tableau Desktop.

Table of contents

About the author

Adam Crahen - Pluralsight course - Tableau Desktop Playbook: Building Common Chart Types
Adam Crahen

Adam Crahen is the Director of Analytics Practices and Enablement for Pluralsight and also a former Tableau Zen Master. Adam is a creative problem solver specializing in data curation, transformation and visualization with tools like Tableau, SQL, Snowflake, dbt, and Alteryx, etc. His work has been recognized by organizations like Kantar and has been featured by several news organizations around the world. He enjoys sharing his knowledge and passion for data by speaking at conferences, user groups and connecting with the data community.

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