Coming soon, "Silicon Valley & Tech Regions".
It's a topic we've found fascinating for years, not just in its mapping, but in the phenomena itself. We've heard Silicon Valley described as a example of "emergence" where components come together and in the right circumstances, at the right time, wild growth, interaction & change occur.
#Arctic climate rankings are now in for February 2025: https://zacklabe.com/archive-2025/. This was a historic month for the region with record warm conditions and record low sea ice relative to any prior February.
A FLuQE wavelet opened September, cresting as KP.3.1.1 / MC wave into November. FDA's second-guess vaccine target, KP.2, dropped out in December. Updated #CDC estimates indicate we've been in a JN.1.11 soup pretty much since then.
No new variants broken out by CDC, as KP.1.1.3 / LP descendant LP.8.1 approaches majority.
No recent GISAID data—as Raj's dashboard hasn't updated in near a month.
❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis
![Chart: Estimated U.S. Variant Proportions by Common Name
Sources: Centers for Disease Control, CoV-Lineages, NYITCOM Research, Daniele Focosi, World Health Network, others
[ beadsland on Ko-fi ]
Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.
Five bar-style tree-charts, for fortnights through March 2–15. Legend of last fortnight, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart.
Essentially all WHO-Vaccine-Target JN.1. JN.1.11 accounts for over three fifths; JN.1.11 + FLiRT for near half.
For fortnight of 1/19–2/1, packed bubble charts fill single-variant tiles, indicating diversification of those variants (per GISAID) that wouldn't otherwise be apparent from CDC's Nowcast.
Legend:
LP.8.1 [purple]:
47% - LP.8.1.1 / NY† & other LP.8.1
JN.1 + FLiRT-KS [browns]:
26% - XEC.2†, XEC.8† & other XEC
2% - XEC.4
2% - XEQ
⅒% - other KS.1
JN.1.11 [greens]:
¾% - KP.3
15% - MC.10.1, MC.28.1, MC.19, MC.1 & other KP.3.1.1 / MC
JN.1 + FLiRT [reds]:
4% - LF.7
3% - LB.1.3.1 / NL
0% - LB.1
JN.1.11 + FLiRT [blues]:
½% - XEK
0% - KP.2.3 & KP.1.1.3 / LP
Other [greys]:
½% - JN.1.16
⅐% - other WHO-Vaccine-Target JN.1
⅒% - Other (not specified)
† Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.](https://spaces.hcommons.social/media_attachments/files/114/163/035/799/833/179/original/9a1523ae932eddff.jpg "Chart: Estimated U.S. Variant Proportions by Common Name
Sources: Centers for Disease Control, CoV-Lineages, NYITCOM Research, Daniele Focosi, World Health Network, others
[ beadsland on Ko-fi ]
Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.
Five bar-style tree-charts, for fortnights through March 2–15. Legend of last fortnight, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart.
Essentially all WHO-Vaccine-Target JN.1. JN.1.11 accounts for over three fifths; JN.1.11 + FLiRT for near half.
For fortnight of 1/19–2/1, packed bubble charts fill single-variant tiles, indicating diversification of those variants (per GISAID) that wouldn't otherwise be apparent from CDC's Nowcast.
Legend:
LP.8.1 [purple]:
47% - LP.8.1.1 / NY† & other LP.8.1
JN.1 + FLiRT-KS [browns]:
26% - XEC.2†, XEC.8† & other XEC
2% - XEC.4
2% - XEQ
⅒% - other KS.1
JN.1.11 [greens]:
¾% - KP.3
15% - MC.10.1, MC.28.1, MC.19, MC.1 & other KP.3.1.1 / MC
JN.1 + FLiRT [reds]:
4% - LF.7
3% - LB.1.3.1 / NL
0% - LB.1
JN.1.11 + FLiRT [blues]:
½% - XEK
0% - KP.2.3 & KP.1.1.3 / LP
Other [greys]:
½% - JN.1.16
⅐% - other WHO-Vaccine-Target JN.1
⅒% - Other (not specified)
† Dagger variants are not broken out by CDC, yet represent a significant share of recent GISAID sequences.")
I just updated my #Arctic sea-ice thickness and volume graphics for February 2025 using PIOMAS data: https://zacklabe.com/arctic-sea-ice-volumethickness/
This month was the 2nd lowest February volume on record.
My visualisation of Australian fruit and veg seasonality made the Information is Beautiful awards longlist.
As the food bowl of Australia was flooded thanks to #CycloneAlfred, the information in the guide may be off for a bit until we recover!
#Dataviz books everyone should read 
- a community sourced #charticle https://informationisbeautiful.net/visualizations/dataviz-books/ Created in association with @DataVizSociety #iibwab
Did you know you can now access #TidyTuesday data in #Python as well as #RStats?
Here's a plot of this week's data about Pixar films made with Plotnine! 
Import data using PyDyTuesday
Coloured subtitle text added with highlight_text
Fonts installed with pyfonts by Joseph Barbier
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-03-11
A great job at not just telling the story of a university, but the complex history of race, wealth and community.
https://chicagomaroon.github.io/data-visualizations/2025/uchicago-property/
How a small detail in #DataViz can change your understanding of the data. I have these 20 scatterplots for 20 various climate models. It seems that in some models there's a relationship, in other not so much, and in some it's clearly non-linear while in others is harder to tell.
Next, I used a fixed scale for all panels and also added all dots in gray to each panel. Whoa, that's different! Now it looks like each model is representing a different part of the population!
New blog post about data art!
Have you ever wondered:
What is data-driven art?
Why do people make data art? How do I get started making my own?
Then this blog post is for you! 
It includes an example using #TidyTuesday data - with code in both #Python and #RStats!
Some light reading for a bit of a distraction, if you will: Vivian Li from @thepudding looked at how "cultures can hear the same physical sounds yet translate them into language so differently".
Neat. My "Analyzing fediverse followers of my creative online bots" data visualization was accepted for this year's Information is Beautiful Awards' longlist.
I'm super happy to see that several of my data visualisation projects were long-listed at the 2024 Information is Beautiful Awards!
Check out the full longlist here: https://www.informationisbeautifulawards.com/showcase?action=index&award=2024&controller=showcase&page=1&pcategory=long-list&type=awards
Pretty fascinating look at how "Covid changed everything", in 30 charts.
"Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for Americans five years ago this week."
Process spatial data and create reproducible maps with R using "Cartography with R" by Timothée Giraud. Covers R Spatial, data manipulation, thematic maps, and more.
Read it at: https://buff.ly/sIqGXss
How would you represent the evolution of a (symmetrical) second rank tensor in space?
Specifically a strain tensor that changes in two-dimensions.
(I know how to colour code the different strain tensor components, but would rather have all the information at once)
(exagerating it and doing a 3D model works for the larger changes but less so the subtle ones)
We are #hiring! We are seeking a skilled part-time research software engineer to provide leadership on the implementation of an open software and data infrastructure in support of the new EPSRC Centre for Doctoral Training (CDT) in Diversity in Data Visualization (DIVERSE CDT).
I'm trying to develop the habit of checking Peertube more often. Found this.
"This is a presentation of the paper "Only the Old and Sick Will Die" -- Reproducing Eugenic Visuality in COVID-19 Data Visualization, published in the proceedings of IEEE Tech and Society 2022."
https://diode.zone/w/b11ded51-f821-4c3b-a392-56011fe93ae7
#Eugenics #Dataviz #COVID #Ableism
My monthly #Arctic temperature graphics have just been updated through February 2025, which was one of the most anomalous months on record for this region: https://zacklabe.com/arctic-temperatures/
