Data Visualization in R
Details
DESCRIPTION:
Every good chart started out as a bad one. In this workshop, we will discuss 1) basic visualization principles, and 2) resources, tools, tips, and tricks that help improve our charts and refine our data stories. Some familiarity with R and ggplot will be useful but not required - novice R users are encouraged to attend.
AGENDA:
6.00-6.10pm: Arrivals
6.10-6.20pm: Introductions
6.20-7.00pm: Presentation
7.00-7.40pm: Exercises (RStudio Cloud)
ABOUT OUR SPEAKER:
Trang Le is a postdoctoral fellow with Jason Moore at the Computational Genetics Lab, University of Pennsylvania. She enjoys developing machine learning methods for rigorous analyses of biomedical data, including neuroimage, transcriptomic and genetic. She’s the author and maintainer of five R packages and active contributor of the automated machine learning tool TPOT. She holds a doctorate and a master’s degree in mathematics and two bachelor’s degrees in mathematics and geology. Reproducible research, inclusion and equity.
