Extreme visualization: squeezing a billion records into a million pixels

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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

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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


Internal References

Treemap