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Data visualisation doesn’t have to be confined to static two dimensional graphs. This session will look at some exciting alternatives to give you some food for thought.
Each talk will be ~10 minutes, leaving roughly 20 minutes for discussion/questions.
This session will take place on Google Meet (https://meet.google.com/dyj-sbax-kmr) and participants can join 15 mins before the start of the session.
Google JamBoard for Q&A: note down questions/comments (using JamBoard Sticky Notes) before/during the event.
Niall Gandy, Research Fellow in Climate-Ice Interactions, Leeds University
Niall believes video is the optimum method of plotting data with a time dimension, and over the course of the 10 minute talk hopes to convince you of the same.
Mark Dunning, Bioinformatics Core Director, The University of Sheffield
In this short talk I will outline how the Sheffield Bioinformatics Core is using Shiny to develop interactive web interfaces for researchers. Typical use-cases of the web interface are to accompany a published dataset, or assist with the automation of time-consuming and manual data manipulation tasks.
Angus Taggart, Library Systems Developer, The University of Sheffield
Considering the problem data visualisation solves and a look at the alternative tools in the toolbox.
Seb James, Research Associate, Dept. of Psychology, The University of Sheffield
Data visualisation in c++: watching the action while it happens with morphologica’s Visual class, a “game engine” for data vis
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