“Visualization Analysis and Design” by Munzner
Conference:
Type(s):
Title:
- Visualization Analysis and Design
Organizer(s):
Presenter(s)/Author(s):
Abstract:
This introductory course will present a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. It features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form. It breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It will walk through the use of space and color to visually encode data in a view. Three major data types will be covered: tables, networks, and sampled spatial data. The course will also cover the four major families of strategies for handling complexity: deriving new data to show within a view, interactivity to change a view over time, faceting across multiple views that can be shown side by side, and reducing what is shown within a single view using aggregation and filtering. The emphasis of this course is the space of design choices; algorithms will not be covered. It is suitable for a broad audience, from beginners to more experienced designers. It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design. The course format will be lectures interspersed with question and answer sessions.
Additional Information:
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- Analysis: What, Why, How. 27 min talk
- Marks and Channels. 16 min talk
- Q&A. 6 min
- Arrange Tabular and Spatial Data. 26 min talk
- Q&A. 10 min
- Break: 10 min
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- Arrange Networks and Trees. 10 min talk
- Color. 12 min talk
- Q&A, 5 min
- Manipulate and Facet. 22 min
- Reduce: Filter, Aggregate. 23 min talk
- Q&A. 13 min
Beginner
Prerequisite: No background in computer science or visualization is assumed
Topics: Data Visualization, Design, Visualization
List of topics and approximate times:
Session 1: Visualization Analysis Framework (85 min)
Session 2: Idiom Design Choices (85 min)
Additional Info: Thinking systematically about existing visualization systems provides good springboard for designing new ones. This course is focused on data and task abstractions, and the design choices for visual encoding and interaction; it will not cover algorithms. It encompasses techniques and data types spanning visual analytics, information visualization, scientific visualization.
