For Day 1 of #30dayChartChallenge, I made an area chart of the U.S. population from the American Community Survey. It's easier to see how the make-up of the population has changed over time. #rstats #dataviz

Code: https://codeberg.org/svanhorne/30DayChartChallenge/src/branch/main/2026/01_Part_Whole.r

The last 100 bills in the US #government, analyzed! #dataviz #civictech

I think enough time has passed, that I can finally share what I made 'from garbage data" in public!

I miss working on projects like this, and having to not share them reduces my chances of being hired to work with data like this...ugh.

Anyway, when most of my work is about finding and sharing patterns....this project was all about helping folks see how chaotic an existing system is: https://www.patreon.com/posts/102234094

#dataviz #urbanData #NYC #mapping #data #art #chaos

Day 3 #30DayChartChallenge 2026: Mosaic πŸŸ‘πŸŸ πŸ”΄
This Voronoi scatterplot shows 889 endangered U.S. animal species from the IUCN Red List. Each dot is one species. Position encodes threat burden: x = total human-caused threats, y = how many distinct threat categories those threats span.
Built with @observablehq Plot, #Svelte, @deno_land, and the IUCN Red List API.
Live interactive: https://nicolelily.github.io/voronoi-scatterplot-iucn/
#DataViz #AnimalWelfare #IUCN #Conservation #Climate
The last 100 bills in one chart! #dataviz #civictech

Raj's dashboard, updated Tuesday, shows Stratus-Eleventy XFG.1.1, alone, at a quarter share, for the last half of the most recent reporting period, while Cicada grandkid RE.2 makes an appearance in GISAID data.

That said, said GISAID data was dominated by paltry submissions from New York (171), Minnesota (85), Maryland (84), Nebraska (53), and Arizona (17).

Most recent #CDC dataset, updated over two weeks ago, showed two Stratus XFG variants gaining ground against their dynastic cousins.

Meanwhile, Nimbus 1.8.1 / PQ family also gained share, lead by the XFY recombinant with XFG.5.1.

Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.

❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis