Abstract: 

R not only provides you a powerful data science toolkit, there’s a vast range of tools available to build rich interactive visualisations directly from R - meaning you can visualise your data in the same language you’re using to explore and understand your data.
Using htmlwidgets you can create visualisations using industry standard JavaScript visualisation libraries like Highcharts, plotly, leaflet, and more. But it’s also possible to deploy entire responsively designed interactive dashboards to customers (or internally) using Shiny.

This workshop provides a deep and fast dive into what’s possible today in R in the interactive visualisation space.

Bio: 

Martin is the technical lead for the Interactive Data Network at University of Oxford - a service promoting and supporting the use of interactive data visualisations to communicate research data. Read more at (http://idn.it.ox.ac.uk)

Generally, Martin is a technology, data science and research reproducibility evangelist. He has years of experience in both industry and academia in the promotion and training in the use of interactive technologies for education and the sharing of knowledge.

Martin's background is in STEM and scientific computation, pulling from a diverse range of interdisciplinary physical sciences with an enthusiasm and proven capability to engage with complex projects and deliver results. He's always looking for new challenges and the opportunity to work with others to promote Open Access and reproducible research.