Section outline

    • Introduction to the course

    • Foundations of data visualization: definition, motivation and historical visualizations. The purposes of data visualization. The three principles of good visualization design: trustworthiness, accessibility and elegance. Differences between truth and trust and various ways to lie with visualizations. Guidelines for creating accessible visualizations. The importance of data-ink ratio and the reasons against uncommon charts. Inspiration for elegant visualizations. 

    • Data abstraction: motivation, types of datasets, attribute types and semantics.

    • Task abstraction: motivation, goals and tasks, actions and targets, examples of efficient designs for particular visual tasks