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This is the preliminary program for the 2008 Joint Statistical
Meetings in Denver, Colorado.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2008 Program page |
= Applied Session,
= Theme Session,
= Presenter|
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| CE_16C | Mon, 8/4/08, 8:30 AM - 5:00 PM | CC-203 |
| Graphics of Large Data Sets - Continuing Education - Course | ||
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ASA, Section on Statistical Graphics |
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| Instructor(s): Antony Unwin, Augsburg University, Heike Hofmann, Iowa State University | ||
| Graphics are great for exploring data, but how can they be used for looking at the large data sets commonplace today? Large data sets bring new complications and require different emphases and approaches. In this course, based on Graphics of Large Datasets, we will discuss how to look at ways of visualizing large datasets, whether large in number of cases, number of variables, or both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, and computer scientists should benefit from attending this course. Participants are welcome to bring laptops and should have knowledge of standard statistical graphics and experience carrying out data analysis. Either the software Mondrian (which can be downloaded from stats.math.uni-augsburg.de/Mondrian/) or, if you use R, the R package iPlots should be installed. | ||
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JSM 2008
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |