Difference between revisions of "SMHS SciVisualization"

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** Contrasting or comparing several data elements, relations, association
 
** Contrasting or comparing several data elements, relations, association
 
** Unsupervised exploratory data mining
 
** Unsupervised exploratory data mining
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:* test (indented bullets)
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http://www.socr.umich.edu/CSCD/html/Cores/Macore2/SciViz.html
 
http://www.socr.umich.edu/CSCD/html/Cores/Macore2/SciViz.html

Revision as of 09:23, 23 May 2016

Scientific Methods for Health Sciences - Scientific Visualization

Questions

  • How and why should we “look” at data?
  • What data characteristics are important for exploratory data analytics (EDAs)?

Scientific Data-driven or Simulation-driven visualization methods may be classified in many alternative ways. Visualization techniques can be classified according to many criteria:

SMHS SciVisualization1.png
  • Data Type: structured/unstructured, small/large, complete/incomplete, time/space, ascii/binary, Euclidean/non-Euclidean, etc.
  • Task type: Task type is one of the aspects considered in classification of visualization techniques, which provides means of interaction between the researcher, the data and the display software/platform
  • Scalability: Visualization techniques are subject to some limitations, such as the amount of data that a particular technique can exhibit
  • Dimensionality: Visualization techniques can also be classified according to the number of attributes
  • Positioning and Attributes: the distribution of attributes on the chart may affect the interpretation of the display representation, e.g., correlation analysis, where the relative distance among the plotted attributes is relevant for observation
  • Investigative Need: the specific scientific question or exploratory interest may also determine the type of visualization:
    • Examining the composition of the data
    • Exploring the distribution of the data
    • Contrasting or comparing several data elements, relations, association
    • Unsupervised exploratory data mining


  • test (indented bullets)


http://www.socr.umich.edu/CSCD/html/Cores/Macore2/SciViz.html

SOCR, Excel and R Charts

Complex Network Visualization




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