This workshop teaches data management and analysis for social science research including best practices for data organization in spreadsheets, reproducible data cleaning with OpenRefine, and data analysis and visualization in R. This curriculum is designed to be taught over two full days of instruction. Participants are expected to attend both days.
Spreadsheet program, OpenRefine, R, and RStudio will be used for this workshop. Registrants will be provided with a link to installation instructions.
This workshop is part of the Using Programming and Code for Research workshop series for for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.
GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact email@example.com at least 72 business hours (3 business days) prior to the event.
In-person attendance of this workshop is open to GW students, faculty, and staff whose GWorld allows them to tap into Gelman Library. No visitors will be allowed into Gelman to attend this workshop.