Lmst

#datavisualisation

If you're a data scientist or a psychologist and you've got a skill for data visualisation, please feel free to take our raw data and do something great with it.

Every day, we ask the people of Mastodon how happy they are and how happy they feel they are in relation to others.

We record the results here: https://docs.google.com/spreadsheets/d/1QHyKXPtnux9Xfme8Mj9aSn8abiFSROWp8bfZWvw29r8/edit?usp=sharing

#dataScience #datavisualisation #psychology #boost

Hello scientists of the world, #Python needs you! ;-) Vote for your favorite programming language and the #ITWorldCup now. And spread the word. Every vote counts (and every minute, too). Thank you!

https://hachyderm.io/@itworldcup/115960578331633434

#DataViz #DataVisualisation #Panda #NumPy #mathematics #Mathematik #GeoPlotLib #MatPlotLib #SeaBorn #SciComm #DataVizualisation #Visualisierung #Science #scientists

Now that I got a #datalakehouse in a #Europeancloud I want more: some actual data to query, #pyspark and notebooks and #datavisualisation. In this blogpost I get Project Jupyter Hub running, I get open data from the #EuropeanParliament and try to visualise that data in #PowerBI. Getting the connection working turned out to be an expensive affair.
https://marcel-jan.eu/datablog/2026/01/16/data-engineering-in-the-european-cloud-part-3-adding-data-and-visualisations/

Neu auf open.bydata: interaktive Visualisierungen der Daten aus dem Zensus 2022!

So wird der Zugang zu wichtigen demografischen und strukturellen Informationen noch einfacher und intuitiver – für alle, die datenbasierte Entscheidungen treffen oder einfach mehr über unsere Gesellschaft erfahren möchten.

👉 Jetzt entdecken: https://open.bydata.de/datasets?locale=de&query=zensus&page=1&catalog=zensus

#OpenData #Zensus #DataVisualisation

Screenshot der Datenvisualisierung des Datensatzes "Bayern: Gebäude: Baujahr (Jahrzehnte) - Gebäudetyp (Größe)" aus dem Katalog " Zensus 2022"

For what it's worth, I've updated my shed https://anisotropi4.github.io/shed/30daymapchallenge.html with links to the data used and published a register of data and associated licenses used in talks and visualisations https://anisotropi4.github.io/shed/opendata.html
#DataVisualisation #PublicTransport #30DayMapChallenge

J'aimerais établir une petite compile infographique montrant l'évolution de la biodiversité au cours du temps ces dernières dizaines/centaines d'années, et éventuellement les prévisions pour l'avenir, pour potentiellement mettre en lumière l'impact de l'ère industrielle sur celle-ci.

Toute aide est la bienvenue pour trouver des graphiques sympa ou des ressources pour construire des graphiques.

#infographie #datavisualisation #bidiversité

The end of my 2024 Rugby League data visualisation project focussing on St Helens Saints, rounding up game 30 of the 2024 season, the season as a whole and what I learnt from the project - https://fulltimesportsfan.wordpress.com/2025/12/26/saints-ahoy-game-30-2024-season-round-up-and-an-overall-summary-of-the-whole-project/ #RugbyLeague #DataVisualisation #rstats

Matrix chart of which Saints players play together most often when Saints concede. It looks like the top left quarter of a fuzzy mosaic of the sun. The darkest, most often together group are in the bottom right. They are Lomax, Blake, Welsby, Whitley, Matautia, Dodd, Clark, Makinson, Mbye, Sironen, Lees, Bell, Percival and Delaney. The quarter of the axis up from them is paler, these players are together less often when Saints concede. They are Stephens, Vaughan, Davies, Paasi, Robertson, Ritson, Batchelor, Bennison, Knowles and Hurrell. Finally at the top and leftermost are the palest and least often together section. They are Walmsley, Wingfield, Royle, Whitby and Burns. They are players who were injured or played few minutes.

Venezuela explained in 10 maps and charts

https://www.aljazeera.com/news/2025/11/28/venezuela-explained-in-10-maps-and-charts

#HackerNews #Venezuela #Maps #Charts #DataVisualisation #Geography #News

Following the publication of the 2024-25 Origin Destination Model by the Office of Rail and Road (ORR) last week, here is a seven-year aggregated rail passenger flow for FY2018-19 to FY2024-25 on a simplified centre-line track-model base model.

This may be of interest as it shows a continuing trend of increasing passenger numbers following COVID.

Details on each of the 2 587 mainline stations are available here https://github.com/anisotropi4/kingfisher/blob/main/station-update.md

1/n

#DataVisualisation #ORR #PassengerData #GBRail

Democracy in society resource alert.

This is a fantastic resource on the quality of and threats to information systems in our digital world. Also, free book - a comprehensive and very relevant report.

There is also a visualisation tool to see all issues, topics and related areas discussed in the report. See screenshot.

https://observatory.informationdemocracy.org/report/information-ecosystem-and-troubled-democracy/

#democracy #InformationSystems #academia #academicchatter #datavisualisation

screenshot.
Information ecosystem and troubled democracy – Interactive Map
Developed in partnership with CNRS Institute for Complex Systems.
This map represents a statistical summary of the thematic content of the report. The network graph represents relations between the words in the report, placing them closer to each other the more they are related. The bigger the node, the more present the word is, signalling its role in defining what the report or chapter is about. The colors represent words that are closely related to each other and can be interpreted as a topic.

The map was generated by Giovanni Maggi using the GarganText tool – developed by the CNRS Institute of Complex Systems – on the basis of the report’s text.

A Global Synthesis of the State of Knowledge on News Media, AI and Data Governance
This inaugural meta-analysis provides a critical assessment of the role of information ecosystems in the Global North and Global Majority World, focusing on their relationship with information integrity (the quality of public discourse), the fairness of political processes, the protection of media freedoms, and the resilience of public institutions.

The report addresses three thematic areas with a cross-cutting theme of mis- and disinformation:

Media, Politics and Trust;
Artificial Intelligence, Information Ecosystems and Democracy;
and Data Governance and Democracy.
The analysis is based mainly on academic publications supplemented by reports and other materials from different disciplines and regions (1,664 citations selected among a total corpus of over +2700 resources aggregated). The report showcases what we can learn from landmark research on often intractable challenges posed by rapid changes in information and communication spaces.

Katrín Lísa L. Mikaelsdóttir, Centre for #DigitalHumanities and Arts, Reykjavík Drawing the Line (and Knowing Where not to): Why Good Data Presentation Matters
25.11. 16:30 #DHAfterHours Lecture Series 📊🎨 https://mshl.is/vidburdir/dh-after-hours/

What is "good" data presentation and why should #DH care?
Visualisation is not only a technical skill, but a humanistic act.

@vanlinduist.bsky.social gives her thoughts why humanists are not only well-equipped but also needed in discussions about #datavisualisation.

Promotional poster for an event titled "Digital Humanities After Hours." Features the speaker Katrín Lísa L. Mikaelsdóttir with a presentation on data presentation. The event is scheduled for Tuesday, 25 November at 16:30

Sharing my joy 🌞 that I am one of the runners up for the 2025 Posit Table 𝄜 Contest. I would like to thank

@Posit for the opportunity to share nice places to visit in Singapore 🇸🇬 🦁.

Singapore Department of Statistics for making the data available online.

@nrennie and her table on lemurs as inspiration for my submission.

Anonymous photographers who have taken these images and allowed them to be used.

#rstats #PositTable #TableContest #DataVisualisation #SingaporeTourism #SingaporeStats

Snapshot of the Posit Table Contest 2025 results saying my table submission is in one of the runners up.

🎨 Recording now live!
Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie
Watch the creative process exploring the #TidyTuesday cats dataset 🐈
https://youtu.be/jba0Bw6xwR0
📚 Materials & links:
🔗 nrennie.rbind.io/talks/rladies-rome-ggplot2

#RLadies #ggplot2 #TidyTuesday @fgazzelloni.

AAG Call For Papers - Urban Spatial Analytics - Toward Problem-Driven Methods Instead Of Methods-Driven Problems
--
https://geoffboeing.com/2025/10/aag-urban-spatial-analytics/ <-- AAG Call For Papers
--
#GIS #spatial #mapping #callforpapers #AAG #annualmeeting #spatialanalysis #urban #city #usecase #approach #urbandatascience #datascience #cities #design #urbanplanning #methods #approach #realworld #research #papers #urbanliving #model #modeling #spatialdata #datavisualisation #publicgood #wickedproblems #homelessness #unaffordability #planning #funding #infrastructure #services #utilities
#AmericanAssociationofGeographers

6 Little-Known Maps by the 19th Century's Most Famous Infographic Designer [Charles Minard]
--
https://www.mentalfloss.com/photos/565562/charles-minard-maps <-- shared technical article
--
https://bigthink.com/strange-maps/229-vital-statistics-of-a-deadly-campaign-the-minard-map/ <-- shared technical article
--
https://youtu.be/hlb1uM_SOcE?si=nahlAd6M029Xiuvn <-- shared technical overview video, "Napoleon’s March to Moscow"
--
https://info5940.infosci.cornell.edu/notes/dataviz/minard/ <-- shared technical article, tutorial, coding of buildin a complicated, layered graphic
--
https://infowetrust.com/project/minard1861 <-- shared technical article
--
#spatial #mapping #infographics #cartography #history #historic #CharlesMinadr #French #datavisualisation #visualization #infrastructure #investment #engineering #statisticalmapping #spatialanalysis #spatiotemporal #economics #Tufte #statistics #drawing #illustration

In a desperate attempt to distract myself from the play-off game today, have the next post in my series about St. Helens Saints 2024 season - https://fulltimesportsfan.wordpress.com/2025/10/04/saints-ahoy-game-29-and-the-2024-season-to-date/ Game 29 and some patterns are reinforcing themselves and others are breaking up. #RugbyLeague #DataVisualisation #rstats

Matrix chart of players who play together when Saints score. The bottom quadrant is a mid-orange. Then there are three players in a paler orange section (Whitley, Bennison and Batchelor), then the darkest section, a purple-orange two of Welsby and Blake. Above them is much paler indicating that those players are not together as often when Saints score.

There's two clear teams, the most often together (a full match day 17 - Welsby, Blake, Whitley, Bennison, Batchelor, Dodd, Percival, Bell, Hurrell, Mata'utia, Sironen, Lomax, Mbye, Clark, Makinson, Delaney and Lees) and the less often together (12 - Royle, Whitby, Vaughan, Wingfield, Walmsley, Robertson, Burns, Paasi, Knowles, Davies, Stephens and Ritson).

La campagne de dons de #dataforgood. #DonUnique et #donrécurrent.

Une communauté ouverte pour la #datavisualisation et bien plus comme faire une application avec eux :).

Exemple, donner plus de visibilité à l'impact de nos déchets dans notre vie quotidienne :).
#ZeroDechetTroyes

Les « technosolutionnistes » ne résoudront pas les problèmes de notre temps, me direz-vous.
En revanche, ils peuvent y contribuer.

#tricassinux
@__fry35__
@oisux
@gul_lolica

https://dataforgood.fr/faire-un-don

For those interested in such things, there is an edit of my talk Cars* from Thursday at #LeedsDigi25 available here https://youtu.be/jUjcsTBUnb8

#DataVisualisation #British #Rail #Transport #Motornormativity

For those interested in such things, visualisation showing the shortest walking route on the British mainland as an orange line from census locations to the nearest heavy rail station. This uses #OpenStreetMap road and street data, #ONS and #LibraryOfScotland census population areas (Output Areas OA/Data Zone DZ) and was developed in #Python. The stations are show on the left-hand.

#DataVisualisation #railway #PublicTransport

A visualisation showing the shortest walking path based on OpenStreetMap road and path data on the British mainland as an orange line from census population areas (Output Areas OA) to the nearest mainline heavy railway line station. The stations are shown as a small diamonds also in orange.

Contemplating on my profession as a data illustrator I am often very conscious of the temporality of data and sometimes even wondering if what I create has meaning. But, we do need those insights, the lens on facts and figures to show trends, impact, status, get a sense #dataviz #datavisualisation

#datavisualisation

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