Sport Informatics and Analytics/Audiences and Messages/Visualising Data/Introduction
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Introduction
At some point in the sport analytics process we share our findings with an audience.
Wolfgang Iser[1] suggested that when we produce a story to share we should think carefully about how we construct the story and imagine the recipients of the story. He notes that any story has "a network of response-inviting structures" that enable the reader or the listener "to grasp the text".
The availability of video platforms has extended the reach of such stories.
More recently, Maria Popova[2] has looked at the impact digital platforms have had on the way data are shared. She notes that at "the intersection of art and algorithm":
Ultimately, data visualization is more than complex software or the prettying up of spreadsheets. It's not innovation for the sake of innovation. It's about the most ancient of social rituals: storytelling. It's about telling the story locked in the data differently, more engagingly, in a way that draws us in, makes our eyes open a little wider and our jaw drop ever so slightly. And as we process it, it can sometimes change our perspective altogether.
References
- ↑ Iser, Wolfgang (1976). The Implied Reader: Patterns of Communication in Prose Fiction from Bunyan to Beckett. Baltimore: John Hopkins Press.
- ↑ Popova, Maria (12 August 2009). "Data Visualization: Stories for the Information Age". http://www.businessweek.com/innovate/content/aug2009/id20090811_137179.htm. Retrieved 27 February 2016.
