Sport Informatics and Analytics/Audiences and Messages/Visualising Data/Visualisation

Visualisation
The mind map for this topic shares a variety of links to data visualisation and storytelling.

The tools we have to share our data with audiences are available in open formats and commercial products. (An example of the use of an open format was shared in the case study of R in this unit.)

Trina Chiasson, Dyanna Gregory and their colleagues have provided a comprehensive guide to preparing and visualising information. They have shared the source code for their work on Github. They note: Data come in all different shapes, sizes, and flavors. There’s no one-size-fits-all solution to collecting, understanding, and visualizing information. Some people spend years studying the topic through statistics, mathematics, design, and computer science. And many people want a bit of extra help getting started. . The awareness that "no-one-size-fits-all" has led to some fascinating discussions about the aesthetics of visualisation. Stephen Few, David McCandless , Alberto Cairo , Gregor Aisch and Giorgia Lupi , amongst others, have explored the ways in which we visualise data stories.

There is more information about visualisation discussions here. An updating list of readings in visualisation can be found here.