Presentation materials related to information visualization via interactive portal design.

Make informed decision(s)

• Percieve - see the information
• Understand - recognize patterns, causes, etc
• Decide - real-world outcomes based on informed decisions

Overview first, zoom and filter, then details-on-demand - Ben Shneiderman

• Overview
• Zoom / filter
• Details

• Explore
• Communicate

• Statistics
• Software
• Computer graphics

• Quantity
• History
  • time-series
  • data pedigree
• Consistency

• Variables
• Consistency
• Clean

• Number
  • E.g. ratio
• Category
  • e.g. names, rank order (low, medium, high)

• Length
• Width
• Position
• Shape
• Color
  • e.g. HSL model

See: Priorities of Visual Attribute for Various Data Types

Precise:

• length
• position along common axis

Not precise

• Width
• Area
• Intensity (Lightness or saturation)

See also: Gestalt design

• Compare
• Sort
• Filter
• Combine/divide
• Highlight, select, brush
• Zoom/pan - spatial and temporal
• Annotate
• Bookmark
• View details

The following chart types are common and generally effective.

• Line
• Scatterplot
  • trend line
• Bar / histogram
• Dot plot
• Bubble

• Multiple charts
• Differing variables in chart axes
• Charts synchronize changes

There are several common types of analysis involved when making visually informed decisions.

• Patterns
  • e.g. change over time
  • cycles
  • trend
• Ranking
• Part-to-whole
• Deviation
  • outliers
  • variability
• Distribution
  • outliers
  • percentiles
• Correlation
  • relationships between variables
  • pissible indication of causal relationship

• Principles of Data Visualization Whitepaper
• Few, Stephen. Now You See It: Simple Visualization Techniques for Quantitative Analysis. Print.