ABSTRACT
In this chapter, the authors discuss how to make scatter plots and how to add to them. They describes several data sets in exploring the ideas. The examples fall into two categories: those whose purpose is to explore the dependence of one variable, the response, on the other variable, the factor, and those in which neither variable is a factor or response and the purpose is simply to explore the relationship between the variables. Scatter plots are often very useful when one or both variables are derived variables, that is, values resulting from computations on the original observed data. Scatter plots are a powerful tool for helping analysts to understand the relationship between two measured or observed variables, x and y. Both jittering and sunflowers can be used to address the problem. Two-dimensional local densities can be computed in a manner analogous to one-dimensional local densities.
