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Do you work with spatial data like maps and architectural plans, or geographical data from an archaeological project? Does your research involve networks, such as social connections between artistic communities or trade networks spanning the ancient world? Are you interested in analyzing text corpora, in English or another language? If you answered “yes” to any of these, R could be a useful research tool for you! R is a simple but powerful language used for both statistical analysis and data visualization – that is, exploring and evaluating data as well as creating beautiful graphs, maps, or other visual representations.

Please join our learning community as we learn and explore R together. The community meets bi-monthly. Questions? Feel free to contact Alicia Peaker or Rachel Starry.

Rachel Starry is a PhD candidate in the department of Classical and Near Eastern Archaeology. Her research has explored such issues as visual narrative, burial practice, monumental architecture, and imperialism, and she is currently writing her dissertation on processes of urban development and practices of civic benefaction in the cities of Roman Lycia. She has also worked on text analysis projects in the past, and is currently using the R programming language for data analysis and visualization of her dissertation research.

Date:
October 25, 2017
Time:
1:30pm - 2:30pm
Location:
Carpenter Digital Media and Collaboration Lab
Campus:
Library & Information Technology Services
Categories:
Digital Competencies, Digital Scholarship

Event Organizer

Jessica Linker