I watched 3 videos for my data visualization class, and I found something interesting which I can relate to this class. The first video was about importance of story telling in data visualization. Jonathan Schwabish mentioned a story needs beginning, middle, ending, emotion, and meaningful climax. It’s better for a story to contain some sensation and drama, because in this way, data can make people feel and makes them do something. We need to create data and pairing that with stories that make us, our reader,
users feel. Robert McKee said :”A story is not an accumulation of information strung into a narrative, but a design of events to carry us.” And stories to work have to be simple, easily grasped, easily told to others and easily remembered.
Exposition is our goal data visualization. We need to use animation and pacing to get attention from audience, and achieve our final goal: exposition. Our vision and short time memory can help us get attention from audience. It is impossible for audience to pay 100% attention on our story or graph, but we can use some techniques to let them pay more attention on our topics. For example, surprise, delight, order and coherence can make audience pay more attention; time, decisions, clutter and confusion can make audience drain their attention.
Once Upon a Time: From Data to Stories (John Schwabish @ Socrata Connect 2017):
Animation, Pacing, and Exposition (Tony Chu @ OpenVisConf 2016):
Where’s Larry? Bringing Data to Life Through Story (Cole Nussbaumer Knaflic @ Tapestry Conference 2017):
unTyPical hAshMaP 