Lmst

Chart and #annoplot library now further revised to more fully address sparsity of #CDC data.

Most recent dataset, updated Friday, shows four XFG lineages, reflecting variants broken out by CDC in recent months, together outpacing growth of parent and remaining siblings.

Meanwhile, Nimbus 1.8.1 / PQ family still holding out at near a twelfth of total estimated share.

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

Raj's dashboard, updated three weeks ago, showed Stratus dynasty with diversified XFG.3 family at plurality, accounting for still over a fifth of all samples, with XFG.14 already over a tenth.

GISAID data for the most recent three-plus-week period was dominated by paltry submissions from New York (146 sequences), followed by Minnesota (129), California (39), Illinois (38), Massachusetts (33), and Nebraska (27).

❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Chart: Estimated and Reported U.S. Covid Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, D. Focosi, WHN, others

[ beadsland on Ko-fi ]

Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.

Four bar-style tree-charts, for four-week periods through Dec 21–Jan 17. Legend of last four-week period, 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 Omicron B.1.1.529 / BA dynasty. Stratus XFG family accounts for over four fifths share.

For 11/23–12/20, packed bubble charts fill single-variant tiles, indicating diversification (per GISAID) not apparent from CDC's Nowcast.

Legend:

Stratus [reds]:
53% - XFG.2†, XFG.9† & other Stratus XFG
16% - XFG.14.1
8% - Stratus-Eleventy XFG.1.1
8% - XFG.6
0% - XFG.1

Omicron [green]:
10% - Nimbus NB.1.8.1 / PQ, PQ.17, XFZ, XFY, LF.7, LF.7.9, XFC, XEC & other Omicron B.1.1.529 / BA

Stratus-3 [browns]:
3% - XFV
0% - XFG.3.4.1 / QF†
0% - XFG.3.1.2 / QK

LP.8.1.2 / NW [purple]:
0% - NW.1

FDA-Vaccine-Target [blue]:
0% - other FDA-Vaccine-Target LP.8.1

Other [grey]:
2% - Other (not specified)
_____

Stratus XFG is a child of April's FLiRT cluster LF.7 and Juneish FDA-Vaccine-Target kid LP.8.1.2 / NW.

XFV is a child of April's FDA-Vaccine-Target LP.8.1 and left-field Stratus-3 grandkid XFG.3.3.1.

[Some footnotes omitted, due to too many recombinants.]

@noamross
A simple bar chart is far better than this.

#dataviz #datavis #rstats

💥 First #BioVis meetup of 2026 💥
#DataVis

“Crafting visual biomedical stories“ with Laura Garrison, University of Bergen

- Virtual, no registration, link/more info:
https://biovis.net/2026/meetup/2026/01/13/meetup.html#join
- Wednesday, 21. January, 5pm Berlin/4pm London

Picture with headshots of all speakers of the academic year of the BioVis meetups, past and upcoming meeting dates. Information is also on the website.

Variants script has been revised to better represent messier than usual #CDC data.

Most recent dataset, updated yesterday, shows three XFG subvariants, broken out two months back, together outpacing growth of parent and remaining siblings.

Meanwhile, Nimbus 1.8.1 / PQ family still holding out at near a twelfth of total estimated share.

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

Raj's dashboard, updated three weeks ago, showed Stratus dynasty with diversified XFG.3 family at plurality, accounting for still over a fifth of all samples, with XFG.14 already over a tenth.

GISAID data for the most recent three-plus-week period was dominated by paltry submissions from New York (146 sequences), followed by Minnesota (129), California (39), Illinois (38), Massachusetts (33), and Nebraska (27).

❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Chart: Est. & Reported U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, others

[ beadsland on Ko-fi ]

Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.

Four bar-style tree-charts, for four-week periods through 12/21–1/17. Legend of last four-week period, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart.

Stratus XFG family accounts for over four fifths share.

For 11/23–12/20, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

Stratus [reds]:
56% - XFV, XFG.2†, XFG.3.4.1 / QF†, XFG.3†, XFG.9† & other Stratus XFG
16% - XFG.14.1
8% - XFG.6

Stratus-Eleventy [brown]:
8% - Stratus-Eleventy XFG.1.1

Omicron [green]:
8% - Nimbus NB.1.8.1 / PQ, PQ.17, XFY & other Omicron B.1.1.529 / BA

WHO-Vaccine-Target JN.1 [blues]:
2% - XFZ
⅓% - LF.7.9 & XFC
0% - XEC
⅕% - other LF.7

FDA-Vaccine-Target [purples]:
0% - NW.1
0% - other FDA-Vaccine-Target LP.8.1

Other [grey]:
2% - Other (not specified)
_____

Stratus XFG is a child of April's FLiRT cluster LF.7 and Juneish FDA-Vaccine-Target kid LP.8.1.2 / NW.

XFV is a child of April's FDA-Vaccine-Target LP.8.1 and left-field Stratus scion XFG.3.3.1.

† Variants, not broken out by CDC, that represent significant share of recent GISAID sequences.

[Some footnotes omitted, due to too many recombinants.]

#Annoplot #dataviz development has been temporarily suspended as of October, but for maintenance.

December maintenance included tweaking legend, ancestry in legend footnotes, and data import.

Work in November consisted primarily of work on #Buoy:

https://hcommons.social/@beadsland/115743279428734786

Now also on hold following multiple household emergencies.

Ultimate plan, after finishing up buoy, is to resume overdue refactoring of tiop libraries for variants #datavis chart, and then finally refactoring legacy levels chart into tiop and #Annoplot library.

At some point between now and the heat death of the universe, may even write up style guide and publish Annoplot under some license or another.

Interested in learning more about data visualization, or need a good reference book? I highly recommend Everyday Data Visualization by Desireé Abbott, which I reviewed for Nightingale! #dataviz #datavis https://nightingaledvs.com/review-everyday-data-visualization/

📊 #datavis #job:

Working Student Data Vis Dispatch at Datawrapper: https://www.datawrapper.de/careers/working-student-data-vis-dispatch

via https://bsky.app/profile/datawrapper.de/post/3mccuh4orzd2v

Left to do is dynamically adding the tick labels to the chart.

I know it is possible but my brain refuses yo make it work. A tomorrow’s problem.

Anyhow, here it is:

https://www.curbal.world/mpl/matplotlib-gallery/52

Ternary plots make my brain hurt.

Only 6 left to do of the 100.
#python #matplotlib #dataviz #datavis

A ternary chart displaying values for Denmark (DK), Sweden (SE), and Norway (NO) with numeric indicators from years '04 and '22. Each section is colored, representing different data points, with specific values labeled.

Getting a little obsessed with Greenland. Not in a bad way I hope. Wondered what resources there are and what tools you need create a #dataviz

It's been a small excursion into chemistry again and confirmed - yep I know nothing - so I focused on the vis and left it there. The journalist part must be really hard on such topics.

https://observablehq.com/@arrrrrmin/resources-of-greenland

#datavis

TIL It's not that hard to replicate news graphics using #datavis / #d3js.
Also I learned that the Western hemisphere seems to include Ireland, UK and a large portion of north-western Africa oO

A globe with focus on Greenland, showing sea routes from Shanghai to the Atlantic Ocean through the Bering Sea and along russian coastlines. Two routes would be very near Greenland and are displayed dashed. Additionally the western hemisphere is drawn in, just because I wanted to know. In this definition the UK and Ireland would be direct inside the influence space of Trump (western hemisphere Grambling, you know). It's one attempt to explain the increasing interest of Trump for Greenland.

A globe with focus on Greenland, showing sea routes to the Atlantic Ocean through the Bering Sea and along russian coastlines. One route along Russian coasts one directly through the northern ice, one along Alaska and Canada shores.

Have you ever thought to yourself: "It sure would be nice to see the geometry for baseball fields of Nebraska" or "raceways of Germany"... wow, me too! That's fun.

X-of-Y may be the perfect thing. You give it an overpass query and it does it's best to show you everything neatly side by side.

Here's every jetsprint boat lake in the world (on OSM!).

https://watmildon.github.io/XofY/

#openStreetMap #datavis #XofYOSM

A grid of cards containing unusually shaped "lakes". Each drawn in a light blue. They have the appearance of very squiggly pasta. Each card has a link to OSM as well as some of the tags (ex:name)

Boosting #DataSovereignty in #EU #Research :boost_love:

The @EU_Commission new EOSC paper pushes for #secure #DataManagement —aligning with #OpenSource tools like #LabPlot, which help researchers analyze data LOCALLY while keeping control.

💡 #OpenScience + #DataSovereignty = Stronger #Research

Try #LabPlot now:
➡️ https://labplot.org/download

Read the paper:
➡️ https://research-and-innovation.ec.europa.eu/document/download/8fcfde5f-201c-4ded-8d03-92c1bdd1950f_en?filename=EOSC-Data_Sovereignty_opinion.pdf

#DataPrivacy #Science #InfoSec #Security #Sustainability #Tech #Chemistry #Physics #Math #Innovation #DataVis

Paper cover: Strengthening European sovereignty in data for research

Raj's dashboard, updated Saturday, shows Stratus dynasty with diversified XFG.3 family at plurality, accounting for still over a fifth of all samples, with XFG.14 already over a tenth.

GISAID data for the most recent three-plus-week period was dominated by paltry submissions from New York (146 sequences), followed by Minnesota (129), California (39), Illinois (38), Massachusetts (33), and Nebraska (27).

#CDC's most recent dataset, updated near two weeks ago, showed three XFG subvariants, broken out last month, together outpacing growth of parent and remaining siblings.

Meanwhile, XFZ and XFV, both recombinants themselves descended from prior recombinants of LF.7 (XFC and XFG, respectively), were shown as quickly gaining in combined share.

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

In this post I shared another visualization created using Kumu.io and invited students/universities to build similar maps showing the information in the #Tutor #Mentor library. tutormentor.blogspot.com/2025/12/mapp... #datavis #dataviz #conceptmap

This interactive map (created using Kumu.io) can be found on the Landscape of Consciousness website. You'll find four maps like this that visualize theories of consciousness.

This is just glorious. I'm looking forward to seeing what comes of it and it feels like something I understand enough from this that I can contribute.

https://clojurecivitas.github.io/data_visualization/aog_in_clojure_part1.html

#DataScience #Clojure #DataVis

While I find a new project I am trying to finish my 1 dataset , 100 matplotlib charts.

With chart 21 done , i have only 9 left:

https://www.curbal.world/mpl/matplotlib-gallery/21

#python #matplotlib #datavis #dataviz

Completing the #30DayMapChallenge. Topic: raster.

The Rodderberg, located on the opposite side of the Rhine River from the Siebengebirge, is an inactive volcano. Although its last eruption was 250,000 years ago, the crater can still be seen in the landscape today. Here, I used my own procedure to contrast the elevations of the south-east and north-west quarters of a circular window against a standard procedure.

#gis #datavis #rstats #mapping #cartography #dem #terra

I'm having fun digging into this visualization of attendees of 1994-2014 Tutor/Mentor Conferences that I hosted in #Chicago. I show a few at tutormentor.blogspot.com/2025/12/take... #datavis #dataviz Thanks to IVMOOC students at Indiana University for creating this.

This is an interactive Kumu visualization of attendees at 1994-2014 Tutor/Mentor Leadership and Networking Conferences, held in Chicago. The orange nodes are specific conferences and the green nodes are organizations that attended. Larger nodes show more frequent participation.

#CDC's most recent dataset, updated today, shows three XFG subvariants, broken out last month, outpacing growth of parent and remaining siblings.

Meanwhile, XFZ and XFV, both recombinants themselves descended from prior recombinants of LF.7 (XFC and XFG, respectively), are shown as quickly gaining in combined share.

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

Raj's dashboard, updated near a month ago, showed Stratus dynasty with diversified XFG.3 family at plurality, accounting for quarter of all samples. Notably, GISAID submissions didn't reflect CDC's estimated growth of XFZ & XFV recombinants.

GISAID data for the most recent four-week period was dominated by paltry submissions from New York (80 sequences), followed by Maryland (45), Colorado (41), Minnesota (33), and Illinois (26).

❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Chart: Est. & Reported U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, D. Focosi, WHN, others

[ beadsland on Ko-fi ]

Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.

Four bar-style tree-charts, for four-week periods through 11/23–12/20. Legend of last four-week period, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart.

Over nine tenths WHO-Vaccine-Target JN.1 dynasty. Stratus XFG family accounts for over four fifths share.

For 10/26–11/22, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

LF.7 + NTD-meets-RBD [red]:
61% - XFG.2†, XFG.3†, XFG.3.4.1 / QF†, XFG.4.1† & other Stratus XFG

LF.7 + NTD-meets-RBD [brown]:
24% - XFG.14.1, XFG.1, XFG.6 & XFG.1.1†

WHO-Vaccine-Target JN.1 [greens]:
7% - XFZ, XFV & NW.1
0% - FDA-Vaccine-Target LP.8.1

JN.1 + FLiRT-LF-7 [blues]:
⅒% - LF.7.9
⅜% - other LF.7

LF.7 + NTD-meets-RBD [purples]:
¼% - XFC
0% - other LF.7 + NTD-meets-RBD

Other [greys]:
5% - XFY & other Nimbus NB.1.8.1 / PQ
¾% - other Omicron B.1.1.529 / BA
1% - Other (not specified)
_____

XFY is a child of June's Nimbus NB.1.8.1 / PQ and left-field recombinant grandkid XFG.5.1.

XFZ is a child of left-field WHO-Vaccine-Target scion PG.3.2 and Septemberish recombinant kid XFC.3.

[Some footnotes omitted, due to too many recombinants.]

#Annoplot #dataviz development has been temporarily suspended as of October, but for maintenance:

https://hcommons.social/@beadsland/115295487903892225

November maintenance included: accommodating less frequently updated GISAID data; tweaking of etalicizing to parents; revising captions, footnotes, and alt-text generation for #datavis; and tweaking title wrapping in legend.

Buoy work continued until mid November, accounting for another 500 lines, when also put on hold. Hopefully will resume in January:

https://hcommons.social/@beadsland/115522549953210771

Work included: fleshing out pretty-printed logging; extensive refactoring; cleaning up derivative class mutations and pagination process; better handling of historical cutoffs, to allow for interruptions due to netbreaks; graceful shutdown and progress indicator behavior; debugging; refinement of refresh behavior; velocity-based scoring method for prioritizing what to reboost; redesign of parallel data-based pagination.

#datavis

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