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I’ve assigned a 75/37 exercise a bunch of times to my DataViz classes/lectures, some of them documented here and here.
It’s a very interesting and effective way to introduce and teach one of the most important principles in data visualization: the relation between the abstract information and the visual element defined by an agreed rule.
It’s a mechanical exercise since it takes out, purposely, any meaningful context.
During my last DataViz class I’ve introduced a variation which has been promising.
I’ve published a Google Form with a bunch of questions related to personal information (age, studies, origin, alongside other silly curiosity such as preferred meal, number of laughs/goodbyes, fast-foods/cinema in a month, or the number of likes in a social network) .
Students were asked to complete the form and then use it as a data source to ideate and sketch possible representations.
In addition to the assignment, I’ve shown them the DearData project which gives a lot of inspirations.
The exercise gave the opportunity to both understand the mechanic of the representation and making practice in the storytelling field as well.
I don’t have the results to show, I promise I’ll post the next results during in my next upcoming DataViz classes.
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