R for Absolute Beginners

    Tuesday, April 15, 2025 at 7:00 PM until 8:00 PMUS Eastern Daylight Time UTC -04:00

    247 Hesburgh Library, Navari Family Center for Digital Scholars
    Hesburgh Libraries, IN
    United States

    Register through Hesburgh Libraries

    Offered by the Navari Family Center for Digital Scholarhip, this workshop offers an introduction to R, a commonly-used language for data and statistical analysis and visualization.

    This introductory workshop aims to provide a quick “swimming” lesson to students, scholars, practitioners, and researchers who want to dive into the world of R.

    R is a free and open-source programming language that is widely used for data and statistical analysis and data visualization. RStudio is a free user interface, which we will use to write and run an R script and interact with our data. In the course of this hour-long workshop, participants will learn to:

    • Create an R script in the RStudio environment.
    • Write basic R to perform mathematical operations and print out a greeting.
    • Annotate code using comments so that we can share our work.
    • Load in a dataset, subset data, and explore data types.

    This workshop is for those who are curious about tools for analyzing or visualizing their data, or if they've heard about R and want to know what it’s all about. In advance of the session, please install the R programming language and RStudio. No programming experience necessary – just bring yourself and a laptop!

    Open to Graduate Students, Undergraduates, Faculty, Staff, Postdocs

    Instructed By

    Data Services Librarian
    smengare@nd.edu
    574-631-4481

    Summer Mengarelli is the Data Services Librarian in the Navari Family Center for Digital Scholarship. She supports researchers' data needs across the university community and aims to advance data sharing and open research practices. Her interests include open science and data literacy and ethics. She received a Master of Science in Information in Digital Archives, Library Science & Preservation and a Master of Science in Geospatial Data Sciences from the University of Michigan.

    Please register for this event on the Hesburgh Library's website.