Note: This is a two-day, 3-hr workshop on 4/16, 10:00 a.m. –1 p.m. (Part A) pm AND 4/17, 1–4 pm (Part B). You only need to register once but are required to attend both.
Prerequisite: Data Visualization in R or moderate experience using R. Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.
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