visualizing artisanal data
Fifty-three readers submitted visualizations created from their unique, bespoke datasets. By collecting and analyzing data that we own 100%, it allows us to identify and bring to light elements we know to be undoubtably true. Click the link to see the full post and be inspired to create and visualize your own artisanal data!
#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.
everyone's emulations
Fifty-four readers submitted emulations this month with sources of inspiration ranging from Minard to Nadieh Bremer to FiveThirtyEight and even storytelling with data. Click the link to see the full recap post, including each submission and related commentary.
#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!
how YOU visualized it
69 different ways to visualize the same data! This underscores that in data visualization there isn’t a single “right” answer. Check out the full post to browse many ways to visualize AidData answering the question, “Who donates?” and more.