Predictive Analytics World for Government

Mini Course Technical Track

Data Visualizations with R and Shiny

October 18, 2016

Giving your analytics a "face" is one of the biggest and most important tasks in data science. Data visualization, also referred to as visual communication, is the clear and effective communication of data that hopefully leads to actionable, business outcomes. "R" is an open source statistical programming language that is equipped with a package called "Shiny", which allows you to build web applications without having prior knowledge of HTML, CSS, or javascript. R and Shiny provide a powerful way to visualize data at any phase of an analytics project. In this mini-course, you will learn how to build your own Shiny apps, understand "the why" Shiny, and understand when to use Shiny.

About the Presenter

Brittany-Pugh.jpgData Scientist Brittany Pugh is honored to contribute to challenging solutions in the defense and Federal community using mathematical and statistical algorithms, text mining, and advanced predictive analytics. Previously, Mrs. Pugh worked in Counterintelligence where she focused on threat deterrence, anomaly detection, cluster analysis, forecasting, and investigative lead generation. Brittany graduated from George Washington University with a MS in Systems Engineering, and from the University of Virginia with a BA in Mathematics.  

 Limited seating available. Priority will be given to government employees who sign up during the registration process - so register early!