The Moksha Roundup
Issue #32, September 6 - September 12, 2022
Welcome to this week’s Moksha Roundup! This small newsletter is a weekly roundup of the latest and greatest in the data visualization/design/visual storytelling world. Every week, we compile our favorite projects from journalists, storytellers, and technologists and share them with you.
In this issue, we share great visual storytelling pieces from the New York Times, the Washington Post, and Bloomberg. If you’re not subscribed already and want to see more in the future, sign up below:
By The New York Times
The visuals help readers grasp her dominance in the sport. As noted in a chart, her career spans over two decades, with her holding first place for 186 consecutive weeks, a record only matched by two other tennis players.Visit the piece →
By The Washington Post
The duo created a timeline in the form of a vertical step chart. The chart includes ranking position, year, and age. The writers use differently-colored lines in a step chart to differentiate Williams from her peers in the tennis world, displaying the ups and downs of her career, and provide annotation for context.Visit the piece →
By Northeastern University
Color-coded tree rings grow in different directions, demonstrating where most immigrants have come from 1850 to 2016, creating a fascinating picture of the country’s makeup over the years. The project has an animated version of the rings that users can play.Visit the piece →
The piece uses scroll-linked interactions to move the user from city to city, and a (literal) heat map for the background. Satellite images and photography explain where the hot and cool areas are in each city.Visit the piece →
By Benjamin Schmidt
Benjamin Schmidt has made a lengthy beeswarm chart showing where most New Yorkers live in the state.
According to the chart, more than half of the population lives in southern New York. If you want to dive deeper, Philip Bump (writer of How To Read This Chart), has replicated the chart utilizing statistics from California, and provided alternative ways to visualize the data.Visit the piece →
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