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R for Lunch: How to import data and install RStudio/Tidyverse
[In-person] Part of the RFun Series. Learn how to import data following a brief tour of the RStudio IDE and an introduction to coding notebooks. This event is open to non-Duke participants.
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.
A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at any time prior to the conclusion of the workshop.
Data Science
- Date:
- Wednesday, January 15, 2025
- Time:
- 12:00pm - 1:00pm
- Location:
- Bostock 127 (The Edge Workshop Room)
- Campus:
- West Campus
- Categories:
- Data and Visualization