Explore the concept of design spaces for visualization in this Stanford seminar featuring Tamara Munzner. Delve into the definition, creation, and assessment of design spaces, examining a three-axis model and its combinations. Investigate the characterization of narrative and perceptual aspects, as well as viable combinations within these spaces. Learn about domain prevalence and chart combinations for heterogeneous data. Discover enhancement choices for base chart types and gain insights into the process overview. Uncover key findings about journalists' use of tables and explore the multi-table data wrangling design space. Examine task abstraction gaps and term mapping in visualization design. Conclude with a summary of multiple design spaces and their assessment within the larger context of theory types.
Stanford Seminar - Developing Design Spaces for Visualization - Tamara Munzner
Stanford University via YouTube
Overview
Syllabus
Introduction.
Design spaces: Continuing theme.
Design spaces: What are they!.
Design spaces: How to create!.
Design space with three axes.
Combinations: Characterize narrative, perceptual.
Viable combinations.
Assessment & adoption descriptive power.
Domain prevalence design space.
By the numbers.
Design space axis: Chart combinations of heterogeneous data.
Design space axis: Enhancement choices, atop base chart types.
Process overview.
Key finding journalists use many, many tables.
Multi-table data wrangling design space.
Assessment: Cross-check.
Task abstraction: Gap.
Mapping terms.
Summary: Multiple design spaces.
Design spaces: How to assess? Larger context theory types.
Taught by
Stanford Online
