Chapter 11 teaches students how to make graphs in MATLAB. Specifically, students learn to make line graphs, scatterplots, bar graphs, and histograms, four basic and essential visualizations for anyone interested in presenting data. New data types are needed, building on knowledge from Chapter 2 and Chapter 8 to reinforce understanding, and new aspects of the MATLAB interface for graphs are introduced in detail. MATLAB has many ways to customize graphs, each of which is reviewed in turn, along with its strengths and weaknesses. To help students make the most of MATLAB graphics infrastructure, its hierarchical structure is explained in detail, allowing students to modify any graphics feature, using any other graphics feature as a starting point. Critically, this chapter elaborates on how to use MATLAB documentation to identify and specify the graphics features they want to modify, while providing many examples of such modification using different syntax.

We survey the theory of treeable countable Borel equivalence relations.

Students are instructed on how to create the most common graphs in public administration research and data visualization.Correct data setup for each graph is illustrated through the use of datasets in the Companion Site.Graphs include bar graphs, histograms, line graphs, boxplots, and scatterplots.Steps to produce these graphs in R Commander are covered using public administration examples and datasets.