What's Vis, and Why Do it
Computer-based visualization systems provide visual representations of datasets designed to help people carry out tasks more effectively.
What: Data Abstraction
Data Types
- Items
- Attributes
- Links
- Positions
- Grids
Dataset Types
- Tables
- Networks
- Fields
- Geometry
Attribute Types
- Categorical
Ordered
- Ordinal
- Quantitative
Semantics
Key
- Flat Tables
- Multidimensional Tables
Values
Fields
- Scalar
- Vector
- Tensor
Why: Task Abstraction
Actions
- Analyze
- Produce
- Search
- Query
Targets
Analysis: Four Levels for Validation
- Algorithm
- Visual Encoding and Interaction Idiom
- Task and Data Abstraction
- Domain Situation
Marks and Channels
- Mark Types
- Channel Types
Rules of Thumb
- No Unjustified 3D
- No Unjustified 2D
Arrange Tables
Categorical Regions
- List Alignment
- Matrix Alignment
- Volumetric Grid
- Recursive Subdivision
Spatial Axis Orientation
- Rectilinear Layouts
- Parallel Layouts
- Radial Layouts
Spatial Layout Density
- Dense
- Space-Filling
Arrange Spatial Data
- Geometry
- Scalar Fields
- Vector Fields
- Tensor Fields
Arrange Networks and Trees
- Connection
- Matrix
Map Color and Other Channels
Color Theory
Color Maps
- Categorical ColorMaps
- Ordered ColorMaps
- Bivariate ColorMaps
Color Channels
- Size
- Angle
- Curvature
- Shape
- Motion
- Texure
Manipulate View
- change time
- select elements
- change viewpoint
- reduce attributes
Facet into Multiple Views
- juxtapose and coordinate views
- partition into views
- superimpose layers
Reduce Items and Attributes
- Filter
- Aggregate
Embed: Focus + Context
- Elide
- Superimpose
- Distort
