Extreme visualization: squeezing a billion records into a million pixels: Difference between revisions

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== Suitable Datatypes ==
== 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.




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== internal References ==
== Internal References ==
[http://infovis-wiki.net/index.php?title=Treemap Treemap]
[http://infovis-wiki.net/index.php?title=Treemap Treemap]


[[category: techniques]]
[[category: techniques]]

Revision as of 07:46, 26 May 2009

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

File:Figure8jpg


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