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CDVS Workshop: R for Lunch: Intro to mapping

Speaker

Drew Keener

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 workshop introduces the use of the R language for producing maps. We will demonstrate the advantages of a code-drive approach such as R for visualizing geospatial data. Participants will gain the skills to quickly and efficiently create a variety of map types for a website, presentation, or publication. In addition to working on hands-on coding exercises, we will also review practical guidance on designing effective maps. This event is open to non-Duke participants.

Categories

Research, Technology, Workshop/Short Course