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

From InfoVis:Wiki
Jump to navigation Jump to search
Line 9: Line 9:
  
 
== 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.
  
  
Line 39: Line 57:
  
  
== 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

Figure1.jpg Figure2.jpg Figure3.jpg Figure4.jpg Figure5.jpg Figure6.jpg Figure7.jpg File:Figure8jpg Figure9.jpg Figure10.jpg Figure11.jpg Figure12.jpg Figure13.jpg Figure14.jpg


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