Overview
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Learn how to create effective data visualizations through this comprehensive lecture that explores the fundamental principles and practical techniques for making visualization work in real-world applications. Discover the key design considerations, cognitive factors, and technical approaches that transform raw data into meaningful visual representations that communicate insights clearly and effectively. Explore best practices for choosing appropriate visualization types, designing for different audiences, and avoiding common pitfalls that can mislead or confuse viewers. Gain insights into the intersection of human perception, design principles, and data science to create visualizations that not only look appealing but also serve their intended purpose of facilitating understanding and decision-making.
Syllabus
Ben Bederson: Making Visualization Work
Taught by
Center for Language & Speech Processing(CLSP), JHU