[Online] Part of the RFun Series. We explore the five essential {dplyr} data wrangling verbs. We demonstrate and apply data pipes inside code-chunks within Quarto coding notebooks. Quarto Notebooks were discussed in the previous session. 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.

NOTE:  Must have an up-to-date installation of RStudio.  (RStudio > Help > Check for Updates)

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