This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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354
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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Abstract - #309205 |
Title:
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Minimal Statistics for Visualizing Large-Scale Data in R
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Author(s):
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Xiang Wu* and Heike Hofmann+
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Companies:
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Iowa State University and Iowa State University
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Address:
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2413 Snedecor, Ames, IA, 50011, United States
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Keywords:
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Graphic interface ;
Data visualization ;
Large-scale database
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Abstract:
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With size of data increasing rapidly, it becomes more important to be able to access data not located in main memory. Based on the R packages RMySQL and ggplot, we present a tool for preparing and rendering information from a database that allows visualization of large quantities of data with minimal loss of information. Given basic information about the database, this interface will connect to the database, pre-process the data, retrieve the data automatically and finally allow the user to render a graphic at an appropriate resolution. Usually the size of the data in a database is huge, so data reduction is inevitable. Combining the powerful data processing capabilities of database management system and the flexible graphic renderings of R, this interface provides a handy approach to visualize large-scale database.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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