This pioneering book teaches readers how to use R in four basic analytical areas applied in the Humanities: network, text, geospatial and image data. This book is designed to be a bridge between quantitative and qualitative methods, individual and collaborative work, and humanities and social sciences. Humanities Data with R does not imply the existence of experience in programming in the background.
The first chapters are the readers of the R parameters to exploratory data analysis (continuous and categorical data, multivariate analysis and graphics with emphasis on aesthetics and comfort). Then, network, geospatial data, image data, natural language processing and the analysis of a text each have a separate chapter. Each chapter is based on examples to move readers by intimidating them to add new tools for their study.
UU. And the methods of the low-level and apply the stories of Sir Arthur Conan Doyle. The open-source programming language of R, with its innumerable packages and popularity in the field of natural sciences and social sciences, especially suited to work with data from the humanities. The R packages are also listed in the annex. In this book, we use the concept of extension of the forms that the data and the information presented can take. The methodology has a wide application in the classroom and self-study for human sciences, but also for use in linguistics, anthropology and political science.