Visualization

Goals

• Effective communication of information
• Clarity
• Integrity
• Stimulate viewer engagement

Data Visualization

Three categories:

1. Information Visualization
2. Scientific Visualization
3. Visual Analytics

The human visual system is the highest bandwidth channel to the human brain.

Graphs Reveal Data that Statistics May Not

e.g. Anscombe's Quartet (four data sets with the identical linear model but looks very different in visualization)

Data Visualization Process

1. Classify data types
2. Determine which visual attributes represent data types most effectively

Data Types

• Nominal (labels, names) e.g. fruits: apples, oranges.

  Operations

  =, !=

• Ordinal (ordered): e.g. quality of meat: Grade A, AA.

  Operations

  =, !=, <, >, <=, >=

• Quantitative
  • Interval (location of zero arbitrary): e.g. date, location
    • Like a geometric point, cannot compare directly.
    • Only differences (i.e. intervals) may be compared.

    Operations

    =, !=, <, >, <=, >=, - (can measure distances or spans)

  • Ratio (zero fixed): physical measurement e.g. length, mass.
    • Counts and amounts.
    • Like a geometric vector, origin is meaningful.

    Operations

    =, !=, <, >, <=, >=, -, / (can measure ratios or proportions)

Bertin's 7 Visual Attributes

1. Position
2. Size
3. Value
4. Texture
5. Color
6. Orientation
7. Shape
8. (3D)
9. (Time)

(Card and Mackinlay's extension)