RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, 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.
Date: June 3rd 2015
Time: 11:00 AM EDT
Description: Learning to use Shiny is easier than you may think. Many R users have already learned to use Shiny to create attractive, interactive data products. This webinar will help you do the same. In Part 3, Garrett Grolemund will show you how to customize the appearance of your app. You will learn how to arrange the components of your app into an attractive layout, as well as how to change the appearance of text, images, and other HTML elements in your app.
Our webinar host, GoToWebinar, Now Supports Linux but ONLY for VIDEO. You must dial in by Telephone to the conference for access to the audio. If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.
How to start with Shiny - Part 3 Webinar Registration:
Garrett Grolemund, Data Scientist and Master Instructor - Garrett is the Editor and Chief of the Shiny Development Center (shiny.rstudio.com), the official source of documentation, articles, and
how-to examples for Shiny.
He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, R for Data Science, from O’Reilly Media.
He holds a PhD in Statistics and specializes in Data Visualization.
GitHub
Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.