write scripts using the R programming language and its extensive set of packages.perform exploratory data analysis clean, tidy, and manipulate data gather historical data from print and manuscript sources use existing historical data sets create common visualizations work with geospatial, textual, and network data.Learning goalsĪfter taking this course, you will be able to In other words, this class will teach you how to have something historically meaningful to say from data, and how to publish what you want to say on the web.

While this is not a course in web development, you will learn the basics of publishing documents on the web, including familiarity with command line programs, getting files onto servers, basic web technologies such as HTML and CSS, Git and GitHub, and packages such as RMarkdown for publishing data analysis. You will therefore work through a series of example problems using datasets from the history of the nineteenth-century United States, and you will apply these methods to a dataset in your own field of research.Īdditional emphasis will be placed on publishing your scholarship on the web.

While historical methods can be applied to many topics and time periods, they cannot be understood separate from how the discipline forms meaningful questions and interpretations, nor divorced from the particularities of the sources and histories of some specific topic. These methods will be taught primarily through scripting in the R programming language. You will work with historical data, including finding, gathering, manipulating, analyzing, visualizing, and arguing from data, with special attention to geospatial, textual, and network data. In this course you will learn to use computational methods to create historical arguments. Mondays, 7:20–10:00pm in RRCHNM conference room, Research Hall 402. Department of History and Art History, George Mason University.

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