Section: Lecture 1 | 481SM - INFORMATION RETRIEVAL AND DATA VISUALIZATION 2023 | Moodle@Units

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Section outline

- Select activity Introduction
  
  Introduction File PDF
  
  Introduction to the course
- Select activity Foundations
  
  Foundations File PDF
  
  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. Definition of elegance and resources to inspire elegant visualizations.
- Select activity Data abstraction
  
  Data abstraction File PDF
  
  Data abstraction: motivation, types of datasets, attribute types and semantics.
- Select activity Task abstraction
  
  Task abstraction File PDF
  
  Task abstraction: motivation, goals and tasks, actions and targets, examples of efficient designs for particular visual tasks.
- Select activity Assignment 1
  
  Assignment 1 File PDF
  
  First assignment: analyze two visualizations about the peak time of day for sports and leisure.