Master the Shiny web framework—and take your R skills to a whole new level. Shiny helps you
create fully interactive web apps for data analyses by letting you move beyond static reports
tables and graphs. Your users will be able to jump between datasets explore different subsets
run models with parameter values of their choosing customize visualizations and much more.
Hadley Wickham from RStudio shows data scientists data analysts statisticians and scientific
researchers with no knowledge of HTML CSS or JavaScript how to create complex Shiny apps.
Shiny is easy to learn but even intermediate users often wonder what they've missed. This
in-depth introduction provides a learning path that you can follow with confidence. Getting
started: Begin with a tutorial-style exploration of the basics Shiny in action: Explore Shiny
functionality with a focus on code samples and example apps Best practices: Learn techniques
for managing complexity and ensuring correctness and explore ways to measure and improve your
Shiny app's scalability Mastering reactivity: Learn the underlying theory of reactivity to
improve your ability to reason about complex Shiny apps
