#SWDchallenge: artisanal data

If you collected the data, you cleaned the data, you made the choices, you know every reason behind every decision—you are perfectly positioned to analyze that dataset. May brings a guest challenge by Mike Cisneros: visualize data that you’ve curated yourself. Read the post for more details and an example.

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#SWDchallenge: emulate!

In this challenge, we pull from the premise of Austin Kleon’s book “Steal Like an Artist: 10 Things No One Told You About Being Creative” and challenge the community to emulate a visual they like in an effort to further hone data visualization skills and style. You can participate through 4/10—see full post for details!

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#SWDchallenge: visualize THIS data!

There is no single “right” way to graph data. Any data can be visualized multiple ways, and variant views of the data allow us to see different things. This month’s challenge is to see this in practice: we challenged our readers to show us how they’d visualize the same dataset.

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