The workshop will take place on July 20th, 04:00 PM CEST on Zoom
This short course teaches students how to extract, store, and process data from the Internet using the R statistical programming language. Students will learn how to collect internet data in a variety of forms, including application programming interfaces (APIs) and scraping the open web. We will assume students have basic knowledge of R and RStudio. Participants with no prior experience with R are encouraged to complete this brief tutorial (requiring 2-3 hours) to learn the basics of R before the course.
Prof. Rochelle Terman
Rochelle Terman is an Assistant Professor in the Department of Political Science and a faculty affiliate with the Program on Computational Social Science at the University of Chicago. She specializes in international relations, with an emphasis on international norms, human rights, and the Muslim world. She is also interested in computational social science, and teaches courses on machine learning, text analysis, and programming.
Data Access: Web Scraping with R (Part I)
Data Access: Web Scraping with R (Part II)
All workshop materials and recording are under Creative Commons Attribution-NonCommercial-ShareAlike 2.0 license. You are free to share — copy and redistribute the material in any medium or format, and adapt — remix, transform, and build upon the material. However, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.