Extreme visualization: squeezing a billion records into a million pixels
UNDER CONSTRUCTION
Authors
Short description
Suitable Datatypes
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.
In addation to
- integer,
- categorical,
- real,
- and nominal
information visualizations often deal with even richer data types.
The four types
- multi-variate,
- time series,
- tree,
- and network
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships.
Figures
Important citations
The purpose of visualization is insight, not pictures.
[Ben Shneiderman, 2008]
Evaluation
References
Extreme visualization: squeezing a billion records into a million pixels