https://datasciencela.github.io/tag/interfaces/Recent content in interfaces on DataScience.LAHugo -- gohugo.ioen-usDataScience.LA, 2014–2021 · Read-only archive: comments are closed.Thu, 04 Sep 2014 11:13:51 -0700https://datasciencela.github.io/shiny-r-made-interactive-user-2014/Thu, 04 Sep 2014 11:13:51 -0700https://datasciencela.github.io/shiny-r-made-interactive-user-2014/<p>At useR! 2014, one of the most anticipated presentations was Joe Cheng’s <a href="http://user2014.stat.ucla.edu/abstracts/talks/86_Cheng.pdf">Shiny: R made interactive</a>. It was but one of the of a fantastic series of talks by RStudio representatives; check out Winston Chang’s <a href="https://datasciencela.github.io/winston-chang-interactive-graphics-with-ggvis-user-2014/">ggvis: Interactive graphics in R</a> for another great talk. <a href="http://shiny.rstudio.com/">Shiny</a> begins with your R code and ends with the customer’s view: an interactive, browser-accessible application. This enables you to place a great deal of power into your users’ hands to customize their view and provides a variety of new and innovative ways to interact with the data, such as by tuning parameters and focusing on sub-populations. Essentially, Shiny functions by allowing you to “wire up” up a reactive application, greatly speeding up the development of a data and analysis based web app.</p>