Data visualization involves the creation and study of the visual representation of data. To communicate information clearly and efficiently, data visualization uses statistical graphics, plots, information graphics, and other tools.

Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message.  Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable, and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task.

Course Support

Typical Assignments
  • charts, graphs, maps, illustrations
Common Tools & Resources
  • Software: Gephi, Excel, Python, Tableau
R&ID Specialists
  • Douglas Higgins
Courses (2018-19)
  • HIST 156 - Making Modern Cities / Lisa Trivedi (planning documents, charts)
  • HIST 226 - History of Ideas / Mackenzie Cooley (map, metadata)


Research & Instructional Design Staff

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