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This resource explores the fundamental concepts of independent and dependent variables in research, particularly in data visualization. It delves into the significance of p-values, specifically when p > 0.05, and its implications on research outcomes. The tutorial also covers the essentials of developing visualizations in Java, highlighting its advantages such as portability, ease of publication, and GUI capabilities. Discussions on various visualization tools like VTK and concepts related to data patterns, trends, and interactivity in visualizations are featured, alongside assignments and project reports for effective learning.
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Visualization Development cs5984: Information Visualization Chris North
Quiz • What is an ‘independent’ and ‘dependent’ variable? • What does it mean if you get p>>0.05?
Developing Visualizations in Java • Why Java? • Portable • Easily publishable (put on web) • GUI, graphics, Swing • jazz, … • Other options? • VTK: VisualizationToolkit.com • VB, win api, mfc. Ug! • Tcl/tk • Opengl • Vrml? • IDL, … • DIVERSE www.cvev.vt.edu
Developing Visualizations in Java • Java basics, graphics and interaction • Purvi • Event handling, JDBC, Snap • Nathan • Bederson, “Jazz” • Jun, Rohit
Next Week • Tues: 2-D • Plaisant, “When an Intermediate view matters?” • abhi, sandeep • Lieberman, “Macroscope: Powers of Ten Thousand” • anusha, mrinmayee • Thurs: 2-D, focus+context • Robertson, “Document Lens” • priya, parool
Assignments • Literature Review due today! • Project status report: oct 30 • Homework #2 due next thurs
Homework #1 • Range: A+ to B- • Consensus: Spotfire, Tablelens, xmdv, starcoord • Tasks: • Not: min, max (only 1 data item), avg, % (1 value) • Patterns, trends, distributions, outliers, exceptions, relationships, correlations (multi-way?), combined min/max, tradeoffs, clusters, groups, comparisons, context, anomalies, data errors, changes over time • Paths, … • Keep working your way out of constrained ways of thinking