Teaching:TUW - UE InfoVis WS 2006/07 - Gruppe 03 - Aufgabe 1 - Data Density: Difference between revisions

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[Barth, 1997] R. Barth. Metrics for effective information visualization. ''In Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)'', pages 0–108, DC, USA, October 1997. IEEE Computer Society Washington
[Barth, 1997] R. Barth. Metrics for effective information visualization. ''In Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)'', pages 0–108, DC, USA, October 1997. IEEE Computer Society Washington


[Hunt and Mashhoudy, 2002] Neville Hunt and Housh Mashhoudy, Discovering Important  Statistical Concepts Using SpreadSheets. Created at: January 29, 2002. Retrieved at: October 28, 2006. http://home.ched.coventry.ac.uk/Volume/vol0/data1.htm.
[Hunt and Mashhoudy, 2002] Neville Hunt and Housh Mashhoudy, Discovering Important  Statistical Concepts Using SpreadSheets. Created at: January 29, 2002. Retrieved at: October 28, 2006. http://home.ched.coventry.ac.uk/Volume/vol0/philosop.htm.

Revision as of 16:40, 28 October 2006

Definition

Data Density means the number of data points per ara of the graph (that is the number of pixels in the display where number of pixels does not include the pixels in the window borders, menus, etc.).

[Brath, 1997]

Charts and Graphs

This metric is a No study of charts and graphs would be complete without reference to the work of Edward Tufte. His book The Visual Display of Graphical Information, first published in 1983, is widely recognised as a milestone in the theory of graph design.


Here we look at four of Tufte's principles in more detail:


   Tell the truth about the data.
   	
   Show data variation not design variation.
   	
   Try to maximise the data ink ratio.
   	
   Try to maximise the data density.

References

[Barth, 1997] R. Barth. Metrics for effective information visualization. In Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97), pages 0–108, DC, USA, October 1997. IEEE Computer Society Washington

[Hunt and Mashhoudy, 2002] Neville Hunt and Housh Mashhoudy, Discovering Important Statistical Concepts Using SpreadSheets. Created at: January 29, 2002. Retrieved at: October 28, 2006. http://home.ched.coventry.ac.uk/Volume/vol0/philosop.htm.