I’m going to be giving a talk for the PDX RLang Meetup on July 11 called “How to Not Be Afraid of Your Data: Teaching EDA using Shiny”. Abstract below.
Many graduate students in the basic sciences are afraid of data exploration and cleaning, which can greatly impact their downstream analysis results. By using a synthetic dataset, some simple
dplyr commands, and a
shiny dashboard, we teach graduate students how to explore their data and how to handle issues that can arise (missing values, differences in units). For this talk, we’ll run through a simple EDA example (combining two weight loss datasets) with a general data explorer in
shiny that can be easily customized to teach specific EDA concepts.