XmdvTool

• No single method of displaying multivariate data is effective for all data of this type.
• Supporting multiple methods can build on the strengths of the individual methods and provide different ways of looking at the data. Some features or patterns in the data may be invisible with one display and readily apparent with another.
• link the different views of the data through the use of Brushing, which permits highlighting subsets of data.
• Source code publicly available at no charge - built upon other free packages (X, Athena Widgets, Widget Creation Library) under UNIX.

• Display Techniques Supported
• Structure of Data
• Interactions
• Brush Tool Interface
• Brush Specification Tools
• Data Driven Brushing
• Strategies for Use
• Application - Car Statistics
• Application - Remote Sensing
• Application - Financial Data