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)