dm6 - University of Florida CISE department Visualization...

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University of Florida CISE department Gator Engineering Visualization Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 What is visualization ? • Visualization is the process of converting data (information) in to a visual format to analyze – the characteristics of the data – the relationships among data items or attributes • E.g. graphs and tables
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 What is visualization ? … • Two steps: – Mapping the objects, attributes and relationships involved in a set of data on to visual objects, attributes and relationships – Interpretation of the visualized information by the observing human being and the formation of a mental model of the information
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Motivation for Visualization • Humans are good at quickly absorbing large amounts of visual information and finding patterns in such information • To make use of the domain knowledge that is “locked up in people’s heads” • Useful as a supplementary technique as a part of data exploration in order to get an idea of the nature of the data
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Visualizing Different Types of Data • Type of data greatly affects how it can be plotted for visualization • Dimensionality has a very strong effect. We can easily visualize one, two or three dimensional data, but its not very clear how multi-dimensional data should be visually represented • Continuous vs. categorical attributes • Nominal vs. ordinal attributes
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 General Categories of Visualization • One way to classify categories of visualization is based on type of data: – One dimensional – Two dimensional – Three dimensional – Multi-dimensional – Hierarchical – Graph
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 General Categories of Visualization … • Another way is to classify based on generic classes of applications: Scientific visualization: The basic data concerns physical objects e.g. sea temperature data Information visualization: The data is physical but rather is more conceptual or symbolic e.g. set of documents Statistical graphics: Typical multivariate continuous or categorical data of type traditionally associated with statistics e.g. results of a survey
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Representation • Mapping data to graphical elements • First step in visualization • Three general approaches: – If only a single categorical variable of the object is being considered, then objects are often lumped in to
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This note was uploaded on 11/30/2011 for the course CIS 6930 taught by Professor Staff during the Spring '08 term at University of Florida.

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dm6 - University of Florida CISE department Visualization...

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