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This course covers the essential exploratory techniques for summarizing data. These techniques are generally applied before formal modeling begins and can help inform the development of more complex statistical models. Exploratory techniques are also important to eliminate or sharpen potential hypotheses about the world that can be addressed by the data. We will cover plotting systems in R in detail, as well as some of the basic principles of building data graphs. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
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Associate Professor, Biostatistics
Bloomberg School of Public Health
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