Interactive products take your data science to a new level, but they require new coding decisions. This webinar will give you clear guidelines on when and how to add interactivity to your work. Here you’ll learn: when to use off-the-shelf interactive products like parameterized R Markdown and htmlwidgets, when to create bespoke interactivity with Shiny, how to make your Shiny apps as fast as possible, how to support interactivity in production, and much more.
Garrett specializes in teaching, data science, and teaching data science. He has a PhD in Statistics, wrote the popular lubridate package, invented the RStudio cheatsheets, and has (co)authored three books: Hands-On Programming with R, R for Data Science, and R Markdown: The Definitive Guide.
Kelly is Solutions Engineer for RStudio and also an organizer of the Washington DC chapter of R-Ladies Global.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. There will be approximately 60 minutes of presentation. While we usually have a question and answer session, there will be a lot of ground to cover during this presentation.
We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository. https://github.com/rstudio/webinars
If you can't attend, don't worry. We record (almost) every webinar and post all materials on our website within 48 hours. See past webinars at https://resources.rstudio.com/webinars
RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, RStudio Package Manager Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.