Mastering Shiny
Par šo e-grāmatu
Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant.
- Get started: Discover how the major pieces of a Shiny app fit together
- Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques
- Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components
- Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Par autoru
Hadley is Chief Scientist at RStudio, winner of the 2019 COPSS award, and a member of the R Foundation. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (like the tidyverse, which includes ggplot2, dplyr, and tidyr)and principled software development (e.g. roxygen2, testthat, and pkgdown). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz
