This great story from the Washington Post—with graphics from Júlia Ledur—uses charts, maps, and powerful photography to showcase how Moscow has changed amid the exodus of Western companies from Russia. The article enumerates and visualizes the companies that have ceased business in the country, and then brings to life the impact of those decisions via photography of empty storefronts.

For Bloomberg, Will Mathis, Dan Murtaugh and Paul Murray have created a series of maps visualizing the uneven spread of clean power across the world. Side-by-side maps of countries with high “clean power potential” (but few clean power projects) and countries with high GDP per capita (and many projects) illustrate exactly the article’s thesis: clean power is not reaching the countries that need it most.

Data analyst and prolific mapmaker Milos Popovic has created another beautiful map—this time of rivers in Europe. For the technically curious, Milos provides a comprehensive tutorial of how to create the map using R. The tutorial should be extensible, meaning you can use it to recreate a rivers map of most locations. Happy mapping!

Viz guru Cédric Scherer has created an interesting visualization of baby name diversity in the United States. The chart shows how baby names starting with each letter—and faceted by gender—have become more or less diverse since 1880. Cedric combines a beautiful color palette with meaningful labels to ensure you spend a few minutes exploring the trends yourself.

Will Chase has teamed up with Caitlin Owens to bring Axios original research to life through a revealing and well-annotated chart demonstrating the unequal partisan impact of COVID-19.

In particular, they use a line chart with shaded area to visualize the gap in excess deaths between red and blue states. Throughout the chart, annotations are placed to provide temporal context so the chart reads like ”a self-contained history of the pandemic.”