September 15, 2022

Agenda

  • Design principles continued

Color Representation

Order these colors

Order these colors

Color

  • Be aware of implied and perceptually forced color relationships

  • For categorical data, use color only when you have few categories (up to 10)

Visual Search and Pop-out Effect

Visual search

Feature Hierarchy

Demonstration

An Analysis Framework for Visualization

Munzner’s What-Why-How Framework: map to data-task-idiom trio to evaluate the quality of the visualization.

Good or bad?

New York Times

Answer the questions:

  • What data?
  • Why (user intent)?
  • How (visual encoding)?

Washington Post

Feminist Data Visualization

Rethink Binaries

“This approach is exemplified by (if not limited to) the representation of gender; typically recorded as binary and discrete variables – e.g. either male or female – gender might be better represented as continuous and multidimensional”

D’Ignazio and Klein (2016)

Embrace Pluralism

Pluralism can help to encourage alternatives to the single “view from nowhere” so often favored in visualization design

D’Ignazio and Klein (2016)

Examine Power

A feminist approach to data visualization therefore acknowledges the user as a source of knowledge in the design as well as the reception of any visual interface. The creation of knowledge is, after all, always a shared endeavor.

D’Ignazio and Klein (2016)