Information
Visualization
MAVC - GIC Presentation
by Aurelia Moser / @auremoser / github
http://github.com/auremoser/mavc
"Information Visualization"
A way of representing information and data via a visual agenda.
The study of visual representations of abstract data to reinforce human cognition.
A method for communitcating quantitative information with qualitative nuance.
Goal of Visualizations
Represent information
in the simplest way
with minimum visual complexity
depending on your particular constraints.
Approach to Visualizations
- Understand your audience
- Understand your data and desired narrative
- Define a visual style and register
- Build + Test
Constraints
Audience + Data + Resources
Rich Blocks, Poor Blocks, American Community Survey
Constraints
Audience + Data + Resources
Google Flu Trends, Google.org
Constraints
Audience + Data + Resources
U.S. Gun Killings, 2010, Periscopic
Types of Visualizations
- Temporal + Time-Series
- Multivariate + Statistical
- Mapping, GIS + Geospatial
- Relational + Network
Ex: Time-Series
Graphiti Time Demo / Github Repo
Ex: Mapping
Graphiti Map Demo / Github Repo
Ex: Relational + Network
Graphiti Net Demo / Github Repo
Summary
- Consider your approach
- Define your constraints
- Select visualization type
- Build + test
Resources
- Data Visualization URList
- Stephen Few (2009), Now You See It: Simple Visualization Techniques for Quantitative Analysis. Analytics Press.
- Jeffrey Heer, Michael Bostock and Vadim Ogievetsky (2010), “A Tour through the Visualization Zoo: A survey of powerful visualization techniques, from the obvious to the obscure” ACM Queue 8(5).
- Jeffrey Manuel Lima (2009), “Information Visualization Manifesto.” VCBlog.