Chamont Wang

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Over the past decades, statisticians and machine-learning researchers have developed literally thousands of new tools for the reduction of high-dimensional data in order to identify the variables most responsible for a particular trait. These tools have applications in a plethora of settings, including data analysis in the fields of business, education,(More)
In this article, we use four examples to illustrate a variety of techniques for the visualization of complicated data sets. The examples include business data, storm tracking, New Jersey Department of Education records, and classroom observations. The techniques are used to deal with certain geo-spatial patterns and cross-tabulations on the fly. Video clips(More)
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