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#dataviz

30 posts28 participants5 posts today
Continued thread

Raj's dashboard, updated this morning, shows Stratus XFG overtaken by child XFG.2; PQ.2 as standout child of Nimbus NB.1.8.1 / PQ; and LP.8.1 long ago overshadowed by LP.8.1.1/ NY.

GISAID data for the most recent fortnight is dominated by submissions from New York (with all of 91 sequences), followed by Florida (with 17), Colorado and California (both 16).

#CDC's most recent Friday dataset, updated Tuesday June 24, showed Nimbus taking plurality, with Stratus XFG family also gaining share.

FDA vaccine target LP.8.1, dominant since March, plateaued in April. June saw Nimbus NB.1.8.1 / PQ, scion of "razor-blade throat" XDV, push LP.8.1 out of majority.

#ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

📊 ¿Querés mejorar cómo contás historias con datos en R?

En Estación R lanzamos un nuevo taller sobre visualización: claro, práctico y con foco en comunicar hallazgos con impacto.

🗓️ Cronograma: 2, 4 y 9/9
🏷️ -20% hasta el 28/7
📍 Más info: estacion-r.com/courses

Looking forward to giving a 4-hour workshop on #dataviz at the First Summer School on Linguistic Creativity in Bielefeld tomorrow! #Vorfreude

UPDATE ⬇️

That was a lot of fun and we manage to cover a lot in four hours! The slides can be found here (but please note that they are not intended as self-learning materials): elenlefoll.quarto.pub/2025-bie and the practical #ggplot2 part was based on Chapter 10 of my in-progress textbook: elenlefoll.github.io/RstatsTex.

Interesting.

"Liu worked with professors at Princeton to test how people responded to two different graphs. One showed winter temperatures of a fictional town gradually rising over time, while the other presented the same warming trend in a black-or-white manner: The lake either froze in any given year, or it didn’t. People who saw the second chart perceived climate change as causing more abrupt changes."

grist.org/science/break-throug

New server, new #introduction:

👋 Hi! I'm Eric! I'm a scientific programmer & educator who writes mostly :rstats: code. I currently work part time at #UniversityOfArizona where I help researchers by making R packages, #Shiny apps, automated data workflows, and training them on #ReproducibleResearch practices. I also mentor data scientists for @Posit Academy. I am #OpenToWork as a contractor if any of those skills sound useful to you.

My background is in plant chemical ecology and population ecology and for my PhD I studied #tea and did field work in China. I love tea (although I've been drinking coffee more and more lately) and practice #GongFuCha when I can. I love #foraging and tasting new things.

I currently live in #Tucson by the #BayArea will always be my home.

The German Association of Professional Photographers has asked its members some interesting questions, including which channels they use to get new orders.

However, the order situation is tight in many places. Only 1% of respondents complained about too many jobs in 2024; only 7% were working at full capacity. 35% stated that they had too few or no orders.

Source and more results of the survey: profifoto.de/szene/business/20

Datavzrd is a new tool for interactive visualization of tabular data that takes output specifications in YAML format and produces portable output that does not require a server process.

Summary: techxplore.com/news/2025-07-so

Original paper: journals.plos.org/plosone/arti

Tech Xplore · New open-source tool makes complex data understandableBy Ulrike Bohnsack

Speaking with customers over the last year, I have been fascinated by the failed promise of self-serve analytics. High expectations made this a priority for companies large and small looking to drive efficiencies and a competitive advantage from the democratization of data.

In this blog post, I will explain the challenges, including real world examples, and offer an alternative solution that actually works.
#dataviz #datavisualization @observablehq

observablehq.com/blog/the-fail