Most statistical models discussed in the rest of the book make assumptions about the data and the best model to use for them. As data analysts, we often must specify the distribution that we assume the data come from. Anomalous values, also called extreme values or outliers, may also have undue influence on the results from many statistical models. In this chapter, we examine visual and graphical approaches to exploring the distributions and anomalous values for one variable at a time (i.e., univariate). ...
© Matt Wiley and Joshua F. Wiley 2019
Matt Wiley and Joshua F. WileyAdvanced R Statistical Programming and Data Modelshttps://doi.org/10.1007/978-1-4842-2872-2_11. Univariate Data Visualization
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