Webinar: Data Visualisation in R and Python
Effective communication of scientific results relies heavily on good data visualisation, whether we aim to communicate with a lay audience or other scientists.
In February, we presented an introductory webinar about good data visualisation practice and techniques. This month, we would like to follow up with a more practical session, teaching you the basics of data visualisation with both R and Python. We will use an example dataset to demonstrate packages like base R, ggplot and plotly in R and ggplot, matplotlib, plotly and seaborn in python.
This webinar aims at early career researchers, clinicians, bioinformaticians and everyone working on or interested in communicating scientific results through meaningful visualisations. We recommend a basic understanding of either coding language and jupyter for getting the most out of this event.