Learn how to import data following a brief tour of the RStudio IDE and an introduction to coding notebooks. R for Lunch is a one-hour lunchtime series designed to help people learn R for reproducible computational thinking. R is a data science and data visualization tool which, when combined with RStudio, the Tidyverse, and Quarto, provides a powerful and flexible environment for reproducible research. This event is open to non-Duke participants. This is a brown bag event, lunch will not be provided to participants.