Interactive data visualisations in Python
Register for this event by emailing: thomas.bury@mcgill.ca
Modern scientific methods give rise to vast quantities of data. Creating effective visualisations is essential for both presentation and more importantly exploration of the data. This is no easy task when the data contains dozens of variables and millions of entries. Traditional visualisations are static, that is, what the user sees is what the user gets. Using interactive data visualisations allows the user to vary parameters, honing in on subsections of the data, or switching between different plot types - all without touching the code. This allows for rapid exploration of the data and seamless sharing amongst collaborators, who only require a web browser to open the visualisation.
This workshop will equip participants with the skills required to begin creating interactive visualisations in Python. The format will be highly interactive, with alternation between demonstrations by the instructor and participants working through their own Jupyter notebook (provided in advance). Participants will come away having made several of their own visualisations of either a large public dataset, or their own dataset if they would like to bring one. An example of what can be achieved using these tools can be found at the following link, where data output from a model of a cardiac arrhythmia is interactively viewed and analysed.