#Datavis

2025-06-25

fyi

The International Energy Agency has launched an interactive map showing locations of #datacenters @iea.org and their estimated power needs.

Also useful map of major electrical grid lines and internet cables :) iea.org/data-and-statistics/da

#datavis #datascience

2025-06-24

I still use this as an example of storytelling with visualization when I teach #datavis

RE: https://bsky.app/profile/did:plc:ik6dntilko5d3m4nhajdxj4w/post/3lse6edxy6c2g

sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-22

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.

Due to "low numbers of sequences being reported" (as evidenced by "less reliable" dot hatching on below chart), #CDC did not publish data this week, having advised only of "moving to longer reporting periods":

hcommons.social/@beadsland/114

Raj's dashboard, updated this morning, shows PQ.2 as standout child of Nimbus NB.1.8.1 / PQ; Stratus XFG in competition with kids XFG.2 and XFG.3; and LP.8.1 long ago overshadowed by LP.8.1.1/ NY.

#ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Chart: Est. 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.

Five bar-style tree-charts, for fortnights through 5/25–6/7. 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.

WHO-Vaccine-Target JN.1 accounts for over three fifths. JN.1.11 for over two fifths.

For 5/25–6/7, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [blues]:
38% - LP.8.1.1 / NY†, NW.1† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [purple]:
37% - Nimbus NB.1.8.1 / PQ

LF.7 + NTD-meets-RBD [browns]:
8% - XFG.2†, XFG.3† & other Stratus XFG
7% - XFC

JN.1 + FLiRT-LF-7 [reds]:
5% - LF.7.9 & LF.7.7.2
1% - LF.7.7.1 / PV & other LF.7

JN.1.11 [greens]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [greys]:
½% - LB.1.3.1 / NL
2% - XEC.4 & other XEC
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

[Some footnotes omitted, due to too many recombinants.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-18

Just corrected major bug by changing one assignment.

Purpose of including inline bubble #datavis of GISAID data was to demonstrate how major subvariants, not broken out by the CDC, were being obscured by CDC bundling those subvariants into ancestor for reporting purposes.

Which is what these #dataviz would have been doing, if only they'd been using the actual share of the given ancestor to set the size of its bubble. Instead, of, well (*clears throat with embarrassment*) the total sum of shares of the root variant and its descendants.

Would say that this was down to my focusing so much attention on dynamic legend and family grouping logic, but that ignores time spent adjusting how bubbles were aligned within tiles.

So, really, it was just that never bothered to consistency check the bubbles as drawn against data as given, assuming without validating that everything was correct.

Anyway, charts going forward now work as intended, reflecting when #CDC data hides more than it reveals.

Chart: Est. 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.

Five bar-style tree-charts, for fortnights through 5/25–6/7. 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.

WHO-Vaccine-Target JN.1 accounts for over three fifths. JN.1.11 for over two fifths.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [blues]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [purple]:
37% - Nimbus NB.1.8.1 / PQ

LF.7 + NTD-meets-RBD [browns]:
8% - XFG.2† & other Stratus XFG
7% - XFC
0% - XFJ†

JN.1 + FLiRT-LF-7 [reds]:
5% - LF.7.9 & LF.7.7.2
1% - LF.7.7.1 / PV & other LF.7

JN.1.11 [greens]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [greys]:
½% - LB.1.3.1 / NL
2% - XEC.4 & other XEC
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE is a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

[Some footnotes omitted, due to too many recombinants.]
2025-06-15

TIL how much more relaxing my phone is, when I remove all color through it‘s „color filter“ option.

At the same time I also realised how bad my color selection in some of my #datavis was.

Got to find some solutions for colourblind modes.

#dataviz

sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-15

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

#CDC added NB.1.8.1 only in latest, late-published public dataset. Notice of "software error" that heralded data delay… has been removed. Hatching for "less reliable" data reflects "low numbers of sequences being reported".

Raj's dashboard, updated this morning, shows Nimbus diversifying in May. Also, XFJ significant, even if CDC hasn't broken out.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Chart: Est. 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.

Five bar-style tree-charts, for fortnights through 5/25–6/7. 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.

WHO-Vaccine-Target JN.1 accounts for over three fifths. JN.1.11 for over two fifths.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [blues]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [purple]:
37% - Nimbus NB.1.8.1 / PQ

LF.7 + NTD-meets-RBD [browns]:
8% - XFG.2† & other Stratus XFG
7% - XFC
0% - XFJ†

JN.1 + FLiRT-LF-7 [reds]:
5% - LF.7.9 & LF.7.7.2
1% - LF.7.7.1 / PV & other LF.7

JN.1.11 [greens]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [greys]:
½% - LB.1.3.1 / NL
2% - XEC.4 & other XEC
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

[Some footnotes omitted, due to too many recombinants.]
2025-06-13

🎉 The Information is Beautiful Awards were just announced at #Outlier2025 and we are thrilled and thankful to receive Gold with »I Want a Better Catastrophe: A Flowchart for Navigating our Climate Predicament« by #AndrewBoyd, @jona & @nrchtct

🔥 Try it out: flowchart.bettercatastrophe.co

🏆 Entry on award website:
informationisbeautifulawards.c

🛠️ Create your own interactive flowchart: uclab.fh-potsdam.de/interactiv

#Outlier2025 #IIBAwards #DataVizSociety #BetterCatastrophe #DataVis #InterfaceDesign #FHPotsdam

sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-12

Two weeks ago, Mike Honey noted that there are three recombinants that have arrived on Doppelgänger spike proteins, namely XFJ, XFM, and XFP:

aus.social/@mike_honey_/114611

Last week, Xu Zhu (HT D. Focosi) identified a superset of recombinants that have all arrived at a pairing of LF.7's NTD with RBD from elsewhere, namely: XFC, XFG, XFH, XFJ, XFM, XFN and XFP:

x.com/dfocosi/status/193135167

Above variants chart #AnnoPlot script is now updated to favor grouping by such emerging clusters preferentially over grouping by legacy ancestors.

As a reminder, recombinants happen when more than one virus strain is actively replicating in the same organism.

Here, that means two simultaneous infections, from different sources, finding a home in the same person.

When #PublicHealth is a priority, this should be a rare occurrence.

There are seven unique recombinants identified in this new cluster, alone.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Chart: Est. 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.

Five bar-style tree-charts, for fortnights through 5/25–6/7. 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.

WHO-Vaccine-Target JN.1 accounts for over three fifths. JN.1.11 for over two fifths.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [blues]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [purple]:
37% - Nimbus NB.1.8.1 / PQ

LF.7 + NTD-meets-RBD [browns]:
8% - XFG.2† & other XFG
7% - XFC

JN.1 + FLiRT-LF-7 [reds]:
5% - LF.7.7.2, LF.7.9.1 / PY† & other LF.7.9
1% - LF.7.7.1 / PV & other LF.7

JN.1.11 [greens]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [greys]:
½% - LB.1.3.1 / NL
2% - XEC.4 & other XEC
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

[Some footnotes omitted, due to too many recombinants.]
ruthpozueloruthpozuelo
2025-06-11

I created an app to compare gpx profiles.

It profiles two gpx tracks and plots the climb categories (or descents) to let you know if they are comparable.

The app is useful to see if your training tracks match the difficulty of the race you are training for. Check if the difficulty and elevation gain matches.

If you want to give it a go, it is here:

curbal.world/upload_multiple_g

Let me know if anything goes wrong or any other feedback!

Example output: two charts that show how much elevation gain and the difficulty of the climbs.
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-11

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

#CDC adds NB.1.8.1 only in latest, late-published public dataset. "Software error" that heralded data delay remains unresolved. Hatching for "less reliable" data reflects "low numbers of sequences being reported".

Raj's dashboard, updated Sunday, shows Nimbus diversifying in May.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Chart: Est. 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.

Five bar-style tree-charts, for fortnights through 5/25–6/7. 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.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [purples]:
38% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1
⅛% - XEK

Omicron-2 BA.2 [red]:
37% - Nimbus NB.1.8.1 / PQ

JN.1 + FLiRT-LF [browns]:
8% - XFG.2† & other XFG
7% - XFC
4% - LF.7.9.1 / PY† & other LF.7.9
1% - LF.7.7.2 & LF.7.7.1 / PV
⁹⁄₁₀% - other LF.7

WHO-Vaccine-Target JN.1 [green]:
2% - XEC, LB.1.3.1 / NL & XEC.4

JN.1.11 [blues]:
⅜% - KP.3 & XEQ
1% - PA.1, MC.10.1, MC.1 & other KP.3.1.1 / MC

Other [grey]:
0% - Other (not specified)
_____

Nimbus NB.1.8.1 / PQ is a scion of left-field Razor-Blade-Throat XDV.

Razor-Blade-Throat XDV was a child of Winter 2024's WHO-Vaccine-Target JN.1 and left-field recombinant XDE.

XDE was a child of left-field Hyperion grandkid FL.13.4 and left-field Hippogryph scion GW.5.1.

XFG is a child of April's JN.1.16.1 kid LF.7 and newish FLiRT31 cluster LP.8.1.2.

[Some footnotes omitted, due to too many recombinants.]
2025-06-11

Why do I see so few posts here on #datavis, #rstats and other topic I like?

Is it because I'm on vis.social and don't see posts from other 🐘 servers?
If so, what can I do about this?

2025-06-10

Perte de forêts tropicales en 2024 🌴

Les #incendies de #forêt (49,5 %) sont le principal facteur de perte des forêts tropicales en 2024, suivis par l'#agriculture (29,1 %). 🔥 🐂

Les forêts tropicales sont essentielles. Elles stockent le #co2, fournissent de l'#eau douce, empêchent l'#érosion des sols, assurent la #subsistance de plus d'un milliard de personnes et abritent plus de la moitié de la #biodiversité terrestre.

visualcapitalist.com/charted-t

#Arbre #Décroissance #VisualCapitalist #DataVis

Country	2023 (Mha)	2024 (Mha)
🇧🇷 Brazil	1.14	2.82
🇧🇴 Bolivia	0.49	1.48
🇨🇩 Congo (DRC)	0.53	0.59
🇮🇩 Indonesia	0.29	0.26
🇵🇪 Peru	0.15	0.19
🇱🇦 Laos	0.14	0.12
🇨🇴 Colombia	0.07	0.10
🇨🇲 Cameroon	0.10	0.10
🇳🇮 Nicaragua	0.06	0.09
🇲🇽 Mexico	0.05	0.09
🌐 Other countries	0.73	0.89
Total	3.74	6.73
Carlos Cámara-Menoyoccamara@scholar.social
2025-06-09
Workshop poster  displaying a map from W.E.B. Dubois and a text stating:

"Creating Inclusive cartographies with OpenStreetMap

27th June, University of Warwick"
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-07

Since March, LP.8.1 has been dominant. FDA designated same as vaccine target, on very week its share had plateaued.

Data collection continued to be low priority nationally—as exactly zero regions had enough data for CDC to plot.

#CDC released no new data this week, due to "software issue". This after data was delayed two weeks ago by holiday weekend.

The "razor-blade throat" XDV scion, Nimbus NB.1.8.1, near doubled its share in GISAID from two weeks prior, per Raj's dashboard, updated today.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #variants #CovidIsNotOver #CovidIsAirborne #dataviz #datavis

Chart: Est. 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.

Five bar-style tree-charts, for fortnights through 5/11–5/24. 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.

For 5/11–5/24, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

JN.1.11 + FLiRT31 [purple]:
73% - LP.8.1.1 / NY† & other FDA-Vaccine-Target LP.8.1

JN.1 + FLiRT-LF [browns]:
10% - XFC
3% - LF.7.7.2
2% - XFG.2†, XFG†, LF.7.9.1 / PY† & other LF.7
1% - LF.7.7.1 / PV & LF.7.2.1 / PC

WHO-Vaccine-Target JN.1 [red]:
6% - XEC, LB.1.3.1 / NL & XEC.4

JN.1.11 [greens]:
3% - MC.10.1 & PA.1
¾% - KP.3 & XEQ
⅞% - MC.1, MC.19 & other KP.3.1.1 / MC

JN.1.11 + FLiRT31 [blue]:
¼% - XEK

Other [greys]:
0% - XFP† & other WHO-Vaccine-Target JN.1
0% - Nimbus NB.1.8.1 / PQ† & Other (not specified)
_____

XFC is a child of April's JN.1.16.1 kid LF.7 and newish FLiRT31 cluster LP.8.1.1.

XFG is a child of April's JN.1.16.1 kid LF.7 and newish FLiRT31 cluster LP.8.1.2.

XFP is a child of April's JN.1.16.1 kid LF.7 and left-field FLiRT cluster LS.2.1.1.

[Some footnotes omitted, due to too many recombinants.]
sport of sacred spherical cowsbeadsland@hcommons.social
2025-06-06

Another four hundred lines for #AnnoPlot #dataviz project since last round of work in March:

hcommons.social/@beadsland/114

Work in May/early June included:

• tweaks to this pie chart, chirp logging, annoplot legend classes and newspaper columns orphan control;

• tweaks to variants #datavis: tree constructor process, alt-text pruning internals, legend subclass, tree constructor methods, name collisions and recombinant lineage assignments, family groupings and legend headers, variant mocking, title overhang, tile embossing, growth calculation, and captions, all including significant refactoring;

• migration of bug to legend footer, and build out of prioritized legend footnotes for prominent lineages and recombinants, including recombinant chains, with calculation and approximation of historical peaks, and pruning for space constraints of both alt-text and footer proper.

Chart: Annoplot Dataviz Library*: Project Profile
Subtitle: 11.3K lines† across component modules and significant submodules.

Multi-level pie chart organized into six major categories by color. Each outer wedge shows a tally of number of lines for that sub-component.

Green variants wedges all variously exploded out; also, less so, blue artists/legend wedges.

A legend is split across both sides of the chart. Each key mirrors one of the wedges on the dual pie chart, along with a sentence or two description of each (sub)component thereby represented.

Caption:

* Pre-release development version 2025-06-05.

† Python, Markdown, C, and Elixir source files. Blank lines omitted form tallies.

Exploded wedges reflect proportions of lines changed in prior 30 days. Dotted areas represent non-blank comment lines and Markdown.

Wedges:

🔴 levels
🧀 [blank wedge] - 460, 🧀 hospitals - 282

🟣 chirp
🧀 [blank] - 535

🔵 annoplot
🧀 [blank] - 549, 🧀 artists - 374, 🧀 artists/deco - 503, 🧀 artists/legend - 161, 🧀 …/legend/deco - 258, 🧀 artists/pie - 287, 🧀 artists/text - 326, 🧀 coord - 583, 🧀 coord/base - 259, 🧀 margin - 255, 🧀 util - 535

🟢 tiop
🧀 [blank] - 235, 🧀 bullseye - 321, 🧀 capacity - 455, 🧀 devpie - 673, 🧀 variants - 518, 🧀 variants/legend - 348, 🧀 variants/orchard - 421, 🧀 variants/rajdash - 168, 🧀 variants/rajdash/suds - 280,🧀 variants/tree - 417, 🧀 …/tree/branch - 352

🟤 bots
🧀 [blank] - 181, 🧀 talky - 75, 🧀 talky/talky - 746

⚫ . [period by itself]
🧀 [blank] - 427, 🧀 TODO.md - 348
2025-06-04

📢 The MERCADO Workshop is back at IEEE VIS 📊 - Nov 2 - 7 in Vienna 🇦🇹!

MERCADO = Multimodal Experiences for Remote Communication Around Data Online

#ieeevis #datavis #dataviz #hci #cscw #socialVR #ImmersiveAnalytics

👉 Call for Papers: sites.google.com/view/mercadow

⏰ Deadline: Aug 1

Marian Dörknrchtct@vis.social
2025-06-04

“To visualize with care is to visualize with empathy: to make visible environmental harm, surface suppressed narratives, reveal shared experiences, and confront the structural biases that too often remain hidden.”

nightingaledvs.com/visualizing

by @damlacay @dario and Weidi Zhang - general chairs of this year’s VIS Arts Program @visap:

visap.net/2025/ (submissions due 20 June)

#datavis #art #care #collectivecare #ieeevis

Have been on the lookout for some #dataviz inspiration while in Japan and found some goodies at a bookshop today, even if they’re all in Japanese. First one is a design guide, the second contains Japan specific designs, and the third is a translation of a more expensive English book. #datavis

Infographic production guide

Information design guide

Visualize “relationships”

SAKURADA JUN

Jun SakuradaFun & Beautiful

Designs That Convey loformation in DiagramsIt's a Complement

Color Palettes in Graphic Design
2025-06-03

👋 Moien Luxembourg, we're happy to be at EuroVis 2025! 📊

@markjan will give a long presentation about »Fluidly revealing information: A survey of un/foldable data visualizations» - Wednesday morning. Check out the survey browser here (⚠️: lots of GIFs): uclab.fh-potsdam.de/unfoldable

Theresa Eingartner will give a short talk about »Inflecting data visualizations for web-based scrollytelling« - Thursday afternoon. See it in action here: uclab.fh-potsdam.de/inflect/

#DataVis #DataViz #EuroVis2025 #EuroVis

Screenshot of survey browswer with un/foldable visualizations. On the left side faceted navigation for the classification. In the main part of the interface thumbnails and project titles and references.Four diagrams - bar chart, pie chart, line chart, and scatterplot - about visualization conferences,  each chart with pink highlights.

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst