Building interactive tools for exploratory data analysis

Building interactive tools for exploratory data analysis

March 12, 2016

While Shiny apps are generally built to communicate the results of an analysis, Shiny is just as well suited to building interactive tools to help you conduct your analysis. We call interactive Shiny tools “gadgets”, and they differ from Shiny apps in that they are packaged as functions to be called instead of apps to be visited, and they can return values to the caller. In this talk, we’ll show you some examples of Shiny gadgets and show you how to build your own.

About the speaker

Hadley Wickham

Hadley Wickham is the Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. You may be familiar with his packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools, pkgdown). Much of the material for the course is drawn from two of his existing books, Advanced R and R Packages, but the course also includes a lot of new material that will eventually become a book called “Tidy tools”.