Introduction to Data Visualisation and Web Applications Using R

Date:

14/06/2027 - 15/06/2027

Organised by:

University of Bristol Medical School Online Short Course Programme

Presenter:

Dr Sarah Watkins, Haotian Tang and Dr Gareth Griffith

Level:

Intermediate (some prior knowledge)

Contact:

Bristol Medical School Short Course Programme
University of Bristol
short-course@bristol.ac.uk
+ 44 117 455 5987
www.bristol.ac.uk/medical-school-short-courses

video conference logo

Venue: Online

Description:

This short course offers academics a thorough grounding in creating publication-ready graphics, interactive web resources, and applications using R. Designed for researchers at any stage of the R learning curve, the course takes you from a freshly collected and cleaned dataset through to polished, readily interpretable outputs. Participants will leave equipped to produce clear, compelling visualisations and build simple interactive applications that bring their data to life, whether for publication, teaching, or public engagement.


This course aims to teach participants how to clearly and effectively communicate research findings. It will familiarise participants with data visualisation tools and techniques used in R for the creation of high-quality, dynamic, clear and reproducible graphics and research reports.


This course will cover:

1. an introduction to creating plots in R using ggplot2;
2. advanced graphics techniques, including facets, themes, arranging plots and creating interactive plots;
3. the use of examples from published papers to identify plots that present results clearly and intuitively (whether a figure clearly communicates its intended message);
4. using RMarkdown to produce reports, tables and templates; and
5. an introduction to Shiny and further applications for building interactive web applications.

Cost:

£500

Website and registration:

Register for this course

Region:

South West

Keywords:

R, Data Visualisation, Creating graphs and charts


Related publications and presentations from our eprints archive:

R
Data Visualisation
Creating graphs and charts

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