Data visualization has enabled us to compress data and express them visually in many interesting new ways. It is often cited that we are trying to tell stories through them. Is that really the case? How can we ensure that the audience is able to retain, recall and retell our data-driven stories.
Using examples and videos learning from different storytelling mediums, I walk through why stories are important and what we can learn about how stories work from these mediums. I then detail out a framework built on the See the data | Show the Visual | Tell the Story | Engage the Audience paradigm to convert the data in to a data-visual-story.
Please use the comments to demonstrate your own ignorance, unfamiliarity with empirical data and lack of respect for scientific knowledge. Be sure to create straw men and argue against things I have neither said nor implied. If you could repeat previously discredited memes or steer the conversation into irrelevant, off topic discussions, it would be appreciated. Lastly, kindly forgo all civility in your discourse . . . you are, after all, anonymous.