[AI Summary]: This second edition textbook teaches readers to integrate data analysis techniques into humanities research using R programming. The book bridges quantitative and qualitative methods, covering general-purpose visualization and analysis before introducing domain-specific techniques for networks, text, geospatial data, temporal data, and image analysis. Significantly revised from the first edition, it incorporates modern R packages like ggplot2 and dplyr that center on broad data-science concepts. No programming experience is required, with early chapters covering the data-science pipeline from collection through visualization to manipulation. Examples include analyzing 1930s digitized photographs and Wikipedia page links. The methodology applies to classrooms and self-study across humanities, linguistics, anthropology, and political science, with relevance for research and dissemination in archives, museums, and libraries.
- Authors: Taylor Arnold, Lauren Tilton
- Year: 2024
- Publisher: Springer
- Series: Quantitative Methods in the Humanities and Social Sciences