• Speaker: Garth Tarr, School of Mathematical and Physical Sciences, The University of Newcastle
  • Title: Data visualisation, interactive data analysis, statistical programming
  • Location: Room V102, Mathematics Building (Callaghan Campus) The University of Newcastle
  • Time and Date: 3:00 pm, Fri, 13th May 2016
  • Abstract:

    In recent years, the power of R has been unleashed through the Shiny package which enables users to interact with complex analyses without needing to know any R programming. A Shiny application is a web interface to an underlying R instance. It is remarkably easy to develop both simple and complex Shiny apps using R and importantly, it requires no special knowledge of HTML, CSS or JavaScript. This workshop outlines the basics of developing a Shiny app and showcases some more advanced examples. One of the advantages of moving to a web-based approach is that it enables richer interactivity in data visualisation. There is a large, and ever increasing, pool of R packages that allow researchers to go beyond static plots.

    This seminar will also introduce the htmlwidgets framework that joins the raw statistical power of R with beautiful visualisations powered by JavaScript. The networkD3 and edgebundleR packages will be highlighted as examples that enable interactive visualisations of networks. It can be a full time job keeping up with all the new features R has to offer statisticians – the aim of this workshop is to familiarise you with some of the latest and greatest tools available for data visualisation and interactive data analysis.

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