cs5984: Information Visualization Chris North Visualization Design cs5984: Information Visualization Chris North
Spotfire
Simple Visualization Model Data View Port Visual Mapping
Data Table Attributes Items (aka: cases, tuples, data points, …) Types: Quantitative Ordinal Nominal/Categorical Items (aka: cases, tuples, data points, …)
Visual Mapping Define a Space Map: data marks Map: data attributes graphical mark attributes Year X Length Y Popularity size Subject color Award? shape
Ranking Visual Attributes Position Length Angle, Slope Size Color Increased accuracy for quantitative data -Cleveland
Visualization Design Process Primary Inputs: Data User Task Compare, known item search, patterns, outliers,… Scale # items dimensionality User characteristics Standards/guidelines System resources Bag of tricks: View types Interaction strategies Design Visualization
Design Principles 5 HCI Metrics: User performance *** Error rate User satisfaction Learning time retention
Interactivity Interaction to handle increased scale Direct Manipulation Visual representation Rapid, incremental, reversible actions Pointing instead of typing Immediate, continuous feedback Encourage exploration
Increase Data Density Calculate data/pixel “A pixel is a terrible thing to waste.”
Eliminate “Chart Junk” How much “ink” is used for non-data? Reclaim empty space (% screen empty) Attempt simplicity (e.g. am I using 3d just for coolness?)
Information Visualization Mantra Overview first, zoom and filter, then details on demand E.g. Spotfire
Query Previews http://www.cs.umd.edu/~egemen/demo.html
Data Space Multi-dimensional: databases,… 1D: timelines,… 2D: maps,… 3D: volumes,… Hierarchies/Trees: directories,… Networks/Graphs: web, communications,… Document collections: digital libraries,…
Assignment Read for Tues: Read for Thurs: Find some interesting data Inselberg “Multidimensional detective” (parallel coordinates) book p107 (margaret, josh s) Kandogan “Star Coordinates” web (matt c, fanye) Read for Thurs: Rao “Table Lens” p343,597 (marty e, purvi) Feiner “Worlds within Worlds” p96 (scott m, ?) Find some interesting data Send me your picture