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
Lukas Fuchsgruber
boosted
New paper ✨
»Conceptual Analogues: Coming to Terms with Data Visualisation«
https://doi.org/10.11588/ic.2025.1.113533
In which I propose conceptual analogues as terms that fuse theory and practice to expand the language of data visualization. It is based on a contribution to the early-pandemic workshop »What is the Digital Doing?« and is out now in a special issue of Interface Critique, edited by Nina Tolksdorf and Lindsey Drury.
#DataVis #Critique #Theory #CriticalDataVis #DigitalHumanities #InterfaceDesign
Eugen Rochko
boosted
The #plushtodon are fluent in English of course, as is @destatis For an international audience this #datavis of the latest population projection for Germany can be linked to English independently of browser localisation. Also – unlike the #plushies – use your opposable thumbs right away on your smartphone. The age pyramid now has feature parity at all sizes.
https://service.destatis.de/bevoelkerungspyramide/#!l=en
The #plushtodon are fluent in English of course, as is @destatis For an international audience this #datavis of the latest population projection for Germany can be linked to English independently of browser localisation. Also – unlike the #plushies – use your opposable thumbs right away on your smartphone. The age pyramid now has feature parity at all sizes.
https://service.destatis.de/bevoelkerungspyramide/#!l=en
New paper ✨
»Conceptual Analogues: Coming to Terms with Data Visualisation«
https://doi.org/10.11588/ic.2025.1.113533
In which I propose conceptual analogues as terms that fuse theory and practice to expand the language of data visualization. It is based on a contribution to the early-pandemic workshop »What is the Digital Doing?« and is out now in a special issue of Interface Critique, edited by Nina Tolksdorf and Lindsey Drury.
#DataVis #Critique #Theory #CriticalDataVis #DigitalHumanities #InterfaceDesign
After missing last month's update for reason of government shutdown, #CDC's most recent dataset, updated Friday, finally breaks out estimates for multiple XFG subvariants.
Nowcast suggests three XFG strains have gained significant share in past four weeks, along with two recombinants, XFZ (child of PG.3.2 and XFC.3) and XFV (child of LP.8.1 and XFG.3.3.1).
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 two weeks ago, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases & descendant recombinants. Previous data had suggested XFG was stagnant.
GISAID data for the latter two-weeks-and-change of the most recent period is dominated by submissions from California (120 sequences), followed by New York (87), Minnesota (49), and Colorado (36)—paltry all round.
❖ #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 Oct 26–Nov 22. 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.
Nearly all WHO-Vaccine-Target JN.1 dynasty. Stratus XFG family accounts for over four fifths share.
For 9/28–10/25, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.
Legend:
XFG [reds]:
69% - XFG.2†, XFG.3†, XFG.3.4.1 / QF†, XFG.5.1†, XFG.4.1†, XFG.5.2†, XFG.3.4.3 / QS† & other Stratus XFG
10% - XFG.14.1
8% - XFG.1 & XFG.6
JN.1.11 [browns]:
9% - XFZ, XFV, NW.1 & FDA-Vaccine-Target LP.8.1
0% - other JN.1.11
JN.1 + FLiRT-LF-7 [blues]:
⅛% - LF.7.9
¼% - other LF.7
LF.7 + NTD-meets-RBD [purples]:
⅕% - XFC
0% - other LF.7 + NTD-meets-RBD
WHO-Vaccine-Target JN.1 [green]:
0% - XEC
Other [greys]:
4% - Nimbus NB.1.8.1 / PQ, XFY & XDV.1
⅓% - Other (not specified)
_____
XFC is a child of April's WHO-Vaccine-Target scion LF.7 and Mayish JN.1.11 scion LP.8.1.1 / NY.
XFZ is a child of left-field WHO-Vaccine-Target scion PG.3.2 and Augustish recombinant kid XFC.3.
[Some footnotes omitted, due to too many recombinants.]](https://spaces.hcommons.social/media_attachments/files/115/593/558/972/069/259/original/acda4b217362c2d6.jpg)
Raj's dashboard, updated this morning, shows Stratus dynasty with diversified XFG.3 family at plurality, accounting for quarter of all samples. Notably, GISAID submissions don't reflect CDC's estimated growth of XFZ & XFV recombinants.
GISAID data for the most recent four-week period is dominated by paltry submissions from New York (80 sequences), followed by Maryland (45), Colorado (41), Minnesota (33), and Illinois (26).
After missing last month's update for reason of government shutdown, #CDC's most recent dataset, updated Friday, finally breaks out estimates for multiple XFG subvariants.
Nowcast suggests three XFG strains have gained significant share in past four weeks, along with two recombinants, XFZ (child of PG.3.2 and XFC.3) and XFV (child of LP.8.1 and XFG.3.3.1).
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
![Chart: Estimated and 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 Oct 26–Nov 22. 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.
Nearly all 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, indicating diversification (per GISAID) not apparent from CDC's Nowcast.
Legend:
XFG [reds]:
69% - XFG.2†, XFG.3†, XFG.3.4.1 / QF†, XFG.4.1† & other Stratus XFG
10% - XFG.14.1
8% - XFG.6, XFG.1.1† & other XFG.1
JN.1.11 [browns]:
9% - XFZ, XFV, NW.1 & FDA-Vaccine-Target LP.8.1
0% - other JN.1.11
JN.1 + FLiRT-LF-7 [blues]:
⅛% - LF.7.9
¼% - other LF.7
LF.7 + NTD-meets-RBD [purples]:
⅕% - XFC
0% - other LF.7 + NTD-meets-RBD
WHO-Vaccine-Target JN.1 [green]:
0% - XEC
Other [greys]:
4% - Nimbus NB.1.8.1 / PQ, XFY & XDV.1
⅓% - Other (not specified)
_____
XFC is a child of April's WHO-Vaccine-Target scion LF.7 and Mayish JN.1.11 scion LP.8.1.1 / NY.
XFZ is a child of left-field WHO-Vaccine-Target scion PG.3.2 and Augustish recombinant kid XFC.3.
[Some footnotes omitted, due to too many recombinants.]](https://spaces.hcommons.social/media_attachments/files/115/604/954/797/965/200/original/9fd4ea416a51f94d.jpg)
NCHS estimates of #LongCovid—based on Household Pulse Survey.
Census never published data for October and December of 2024, after posting that they were "transitioning" to longitudinal data collection. To be clear, that was under the prior administration.
On the other hand, Census has updated historical population estimates. (As of May this year, population for January 2024 was estimated at 332 million. In June that estimate jumped to 338½ million.) Chart below represents these updated Census population estimates.
Hospital capacity data collection and reporting was ended under prior administration. Only Federal Reserve disability data continues to update.
#ThisIsOurPolio #CountLongCovid #CovidIsNotOver #MassDisablingEvent
[This is first toot of periodically refreshed thread, providing various dataviz of ongoing #pandemic.]
Last period:
https://hcommons.social/@beadsland/114838338710485782
![Chart: Estimates of Long Covid: Extrapolated to Entire U.S. Population
Data: Census Bureau, Nat'l Cntr for Health Stats, Dept of Health & Human Svcs, Bureau of Labor Stats (via FRED), CDC
[ beadsland on Ko-fi ]
Line chart, from Apr 2022 to date, of:
• Ever Experienced Long Covid for 3+ Months (61M as of Sep '24)
• Reported Staffed Hospital Beds (2.1K per Million) [Was 2.3K Apr '22]
• Population 16+ With a Disability — Labor Stats (35.1M) [Apr '22: 32.7M]
• Now Living with LC (18.1M)
• Current Activity Limitations from LC (15M)
• Significant Limitations (4.4M)
Caption (in part):
Household Pulse Survey (HPS)…an Internet questionnaire…by…Census Bureau…includes questions regarding “any symptoms lasting 3 months or longer that you did not have prior to having coronavirus or COVID-19.” [Note] that the list of long-term symptoms, provided for this question, may not reflect all sequelae of covid infection, e.g., systemic organ damage or increased susceptibility to subsequent infections and other adverse health outcomes.
NCHS uses HPS responses to estimate incidence of [LC] in adult population. With [retraction & new studies] now assume U.S. under 18 population (22% of total) meet criteria for [LC] at same rate as adults.
Census…was due to relaunch Household Pulse Survey (HPS) as Household Trends and Outlook Pulse Survey (HTOPS)…January 2025….had been no relaunch as of [Jan 20].…now is word of a general moratorium on…executive branch agencies communicating with the public…."](https://spaces.hcommons.social/media_attachments/files/115/590/745/390/060/689/original/ddcd4845190e4843.png)
After missing last month's update for reason of government shutdown, #CDC's most recent dataset, updated Friday, finally breaks out estimates for multiple XFG subvariants.
Nowcast suggests three XFG strains have gained significant share in past four weeks, along with two recombinants, XFZ (child of PG.3.2 and XFC.3) and XFV (child of LP.8.1 and XFG.3.3.1).
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 two weeks ago, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases & descendant recombinants. Previous data had suggested XFG was stagnant.
GISAID data for the latter two-weeks-and-change of the most recent period is dominated by submissions from California (120 sequences), followed by New York (87), Minnesota (49), and Colorado (36)—paltry all round.
❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis
Konrad Hinsen
boosted
on my way to Vienna for #VIS4DH workshop this Sunday to see the latest research on humanist visualization / visualized humanities and present joint work with @proff:
»Textarium: Entangling Annotation, Abstraction and Argument«
Demo: https://uclab.fh-potsdam.de/textarium/
Paper: https://arxiv.org/abs/2509.13191
#storytelling #closereading #nearreading #datavis #digitalhumanities #ieeevis
on my way to Vienna for #VIS4DH workshop this Sunday to see the latest research on humanist visualization / visualized humanities and present joint work with @proff:
»Textarium: Entangling Annotation, Abstraction and Argument«
Demo: https://uclab.fh-potsdam.de/textarium/
Paper: https://arxiv.org/abs/2509.13191
#storytelling #closereading #nearreading #datavis #digitalhumanities #ieeevis
tools for commensality 🧿
boosted
Raj's dashboard, updated yesterday, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases and descendant recombinants. This after months of data suggesting XFG evolution had been stagnant.
GISAID data for the most recent three-week-and-change period is dominated by submissions from New York (178 sequences), followed by Colorado (137), Oregon (77), Nebraska (58), and Minnesota (39).
#CDC's most dataset, updated September 26, showed Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth 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
![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 8/31–9/27. 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.
Mostly WHO-Vaccine-Target JN.1 dynasty. Stratus XFG family accounts for largely share.
For 8/31–9/27, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.
Legend:
LF.7 + NTD-meets-RBD [red]:
85% - XFG.2†, XFG.3†, XFG.4.1†, XFG.3.4.1 / QF†, XFG.5.1†, XFG.14.1†, XFG.5.2†, XFG.8†, XFG.3.15† & other Stratus XFG
JN.1.11 [browns]:
0% - KP.3
0% - KP.1.1.3 / LP, PA.1 & MC.10.1
6% - NW.1 & other FDA-Vaccine-Target LP.8.1
JN.1 + FLiRT-LF-7 [blues]:
⅖% - LF.7.9, LF.7.7.1 / PV & LF.7.2.1 / PC
⅗% - other LF.7
LF.7 + NTD-meets-RBD [purple]:
⅗% - XFC
JN.1 [greens]:
¼% - JN.1.16.1 / LF
0% - XEC & XEC.4
Other [greys]:
7% - Nimbus NB.1.8.1 / PQ, XDV.1 & other Omicron-2 BA.2
⅒% - Omicron B.1.1.529 / BA & Other (not specified)
_____
Omicron-2 BA.2 is a child of 2022 Omicron B.1.1.529.
Stratus XFG is a child of April's WHO-Vaccine-Target scion LF.7 and Juneish JN.1.11 scion LP.8.1.2 / NW.
[Some footnotes omitted, due to too many recombinants.]](https://spaces.hcommons.social/media_attachments/files/115/341/879/876/683/538/original/a913de87b5db0e87.jpg)
Raj's dashboard, updated yesterday, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases and descendant recombinants. This after months of data suggesting XFG evolution had been stagnant.
GISAID data for the most recent three-week-and-change period is dominated by submissions from New York (178 sequences), followed by Colorado (137), Oregon (77), Nebraska (58), and Minnesota (39).
#CDC's most dataset, updated September 26, showed Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth 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
#CDC's most dataset, updated Friday, shows tightly-knit Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth 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, last updated over two weeks ago, shows Stratus XFG pulling ahead in competition with its two children, even as XFG.3 has spawned a child of its own.
GISAID data for the most recent four week period is dominated by submissions from Colorado (514 sequences), followed by California (485), Utah (160), and New York (146).
❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis
![Chart: Estimated and 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 Aug 31–Sep 27. 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.
Mostly WHO-Vaccine-Target JN.1 dynasty. Stratus XFG family accounts for largely share.
For 8/3–8/30, packed bubble charts fill single-variant tiles, indicating diversification (per GISAID) not apparent from CDC's Nowcast.
Legend:
LF.7 + NTD-meets-RBD [red]:
85% - XFG.3†, XFG.2† & other Stratus XFG
JN.1.11 [browns]:
0% - KP.3
0% - KP.1.1.3 / LP, PA.1 & MC.10.1
6% - NW.1 & other FDA-Vaccine-Target LP.8.1
JN.1 + FLiRT-LF-7 [blues]:
⅖% - LF.7.9, LF.7.7.1 / PV & LF.7.2.1 / PC
⅗% - other LF.7
LF.7 + NTD-meets-RBD [purples]:
⅗% - XFC
0% - other LF.7 + NTD-meets-RBD
JN.1 [greens]:
¼% - JN.1.16.1 / LF
0% - XEC & XEC.4
Other [greys]:
7% - Nimbus NB.1.8.1 / PQ, PQ.2†, XDV.1 & other Omicron-2 BA.2
⅒% - Omicron B.1.1.529 / BA & Other (not specified)
_____
Omicron-2 BA.2 is a child of 2022 Omicron B.1.1.529.
Stratus XFG is a child of April's WHO-Vaccine-Target scion LF.7 and Juneish JN.1.11 scion LP.8.1.2 / NW.
[Some footnotes omitted, due to too many recombinants.]](https://spaces.hcommons.social/media_attachments/files/115/295/547/437/473/101/original/d7a4f6be45095a38.jpg)
Took it easy this month, recovering from seasonal booster. Thus, only a hundred more lines for #AnnoPlot #dataviz project since last round of work in August:
https://hcommons.social/@beadsland/115123231252276843
Work in September focused on:
* clarification of winter ancestries in legend footnotes
* restoring variant peak tracking from biweekly CDC data
* some more previously deferred refactoring
* preliminary work to allow for partial variants #datavis orchard chart bar between periods
* tweaking utility script to accommodate legacy variant namespace clash
* debugging and conforming usage
* clarification of language in caption
![Chart: Annoplot Dataviz Library*: Project Profile
Subtitle: 12.3K 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 devpie/slice wedge notably exploded out, main devpie & variants wedges slightly; grey dot wedge also exploded somewhat.
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 2025-09-30.
† Python, Markdown, C, Elixir, and shell source files. Blank lines omitted form tallies.
Exploded wedges reflect proportions of lines changed in prior 31 days. Dotted areas represent non-blank comment lines and Markdown.
Wedges:
🔴 levels
🧀 [blank wedge] - 460, 🧀 hospitals - 282
🟣 chirp
🧀 [blank] - 537
🔵 annoplot
🧀 [blank] - 544, 🧀 artists - 419, 🧀 artists/adorn - 360, 🧀 artists/deco - 511, 🧀 artists/legend - 419, 🧀 artists/text - 331, 🧀 coord - 583, 🧀 coord/base - 259, 🧀 margin - 256, 🧀 util - 537
🟢 tiop
🧀 [blank] - 235, 🧀 bullseye - 321, 🧀 capacity - 455, 🧀 devpie - 570, 🧀 devpie/slice - 295, 🧀 variants - 754, 🧀 variants/legend - 389, 🧀 variants/orchard - 432, 🧀 variants/rajdash - 600, 🧀 variants/tree - 437, 🧀 …/tree/branch - 359
🟤 bots
🧀 [blank] - 181, 🧀 talky - 821
⚫ . [period by itself]
🧀 [blank] - 458, 🧀 TODO.md - 497](https://spaces.hcommons.social/media_attachments/files/115/295/439/246/247/805/original/4118e39017420e08.jpg)
Raj's dashboard, updated yesterday, shows Stratus XFG pulling ahead in competition with its two children, even as XFG.3 has spawned a child of its own.
GISAID data for the most recent four week period is dominated by submissions from Colorado (327 sequences), followed by California (297), Utah (160), and New York (129).
#CDC's most recent Tuesday dataset, updated end of August, shows tightly-knit Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place at around one-seventh 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
![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 8/3–8/30. 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 three quarters share.
For 8/3–8/30, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.
Legend:
LF.7 + NTD-meets-RBD [red]:
78% - XFG.3†, XFG.2† & other Stratus XFG
Omicron-2 BA.2 [brown]:
14% - XDV.1, PQ.2† & other Nimbus NB.1.8.1 / PQ
JN.1 [greens]:
5% - FDA-Vaccine-Target LP.8.1, NW.1, PA.1 & MC.28.1
⅕% - XEC
0% - KP.3, XEK & other WHO-Vaccine-Target JN.1
JN.1 + FLiRT-LF-7 [blues]:
⅖% - LF.7.9 & LF.7.2.1 / PC
1% - other LF.7
LF.7 + NTD-meets-RBD [purples]:
½% - XFC
0% - other LF.7 + NTD-meets-RBD
Other [greys]:
0% - other Omicron-2 BA.2
⅒% - Other (not specified)
_____
Omicron-2 BA.2 is a child of 2022 Omicron B.1.1.529.
Stratus XFG is a child of April's WHO-Vaccine-Target scion LF.7 and Juneish WHO-Vaccine-Target scion LP.8.1.2 / NW.
WHO-Vaccine-Target JN.1 is a grandchild of Winter 2023–24's Pirola BA.2.86.
[Some footnotes omitted, due to too many recombinants.]](https://spaces.hcommons.social/media_attachments/files/115/178/228/659/278/296/original/114b67a7475872ed.jpg)
Come work with me to define the future of product design education in Aotearoa!
We’re looking for an early career or mid career researcher with a strong background in teaching and design practice and experience delivering apps with modern web platform or game engine technology. We’d also love to hear from researchers with deep expertise in type design and font engineering; information architecture and data visualisation; or similar niches adjacent to product design who might thrive in our unique interdisciplinary context.
#AcademicJobs#UX#ProductDesign#DesignEngineering#FontEngineering#Accessibility#DesignSystems #GameUI#DataVis#InformationArchitecture
alcinnz
and 1 other
boosted
Revisiting Data by Design: An Interactive History of Data Visualization by @laurenfklein and the team at Emory University. Such a neat way to present the history of data visualization: https://dev.dataxdesign.io
While the book is forthcoming, the website already offers an impressive investigation into the contexts of historic maps and charts — featuring annotated originals and interactive recreations.
#DataVis#DigitalHumanities#InterfaceDesign#CriticalDataVis#History#ScrollyTelling#Literacy
Revisiting Data by Design: An Interactive History of Data Visualization by @laurenfklein and the team at Emory University. Such a neat way to present the history of data visualization: https://dev.dataxdesign.io
While the book is forthcoming, the website already offers an impressive investigation into the contexts of historic maps and charts — featuring annotated originals and interactive recreations.
#DataVis#DigitalHumanities#InterfaceDesign#CriticalDataVis#History#ScrollyTelling#Literacy
Kathy Reid
boosted
Part I of CG&A special issue on #CriticalDataVis is out and @uclab_potsdam contributes two papers on interactivity and storytelling in #DataVis:
Toward Collective Storytelling: Investigating Audience Annotations in Data Visualizations
https://doi.org/10.1109/MCG.2025.3547944
Critical Interactivity: Exploration and Narration in Data Visualization
https://doi.org/10.1109/mcg.2025.3544684
Big thanks to editors Georgia Panagiotidou @mcnuttandrew @gotdairyya @nicolehengesbach Miriah Meyer!
Part I of CG&A special issue on #CriticalDataVis is out and @uclab_potsdam contributes two papers on interactivity and storytelling in #DataVis:
Toward Collective Storytelling: Investigating Audience Annotations in Data Visualizations
https://doi.org/10.1109/MCG.2025.3547944
Critical Interactivity: Exploration and Narration in Data Visualization
https://doi.org/10.1109/mcg.2025.3544684
Big thanks to editors Georgia Panagiotidou @mcnuttandrew @gotdairyya @nicolehengesbach Miriah Meyer!