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#datavisualisation

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Richie Khoo<p>Is there a way to graph trending hashtags on mastodon/the Fediverse?</p><p>What I'm interested in is to graph say my local city of <a href="https://hachyderm.io/tags/Adelaide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Adelaide</span></a> and use that as a bit of an indicator of if <a href="https://hachyderm.io/tags/Mastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mastodon</span></a> usage and engagemement is growing locally in my town</p><p>And yes im interested in data across the fediverse or at least across a few selected servers, as I want data beyond just a single instance.</p><p>I can see this on my desktop web interface right now.. so Im guessing there *should* be a way.</p><p><a href="https://hachyderm.io/tags/GrowingMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GrowingMastodon</span></a> <a href="https://hachyderm.io/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://hachyderm.io/tags/TrendingTopics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TrendingTopics</span></a> <a href="https://hachyderm.io/tags/DataAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataAnalytics</span></a> <a href="https://hachyderm.io/tags/FediverseAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FediverseAnalytics</span></a> <a href="https://hachyderm.io/tags/GoogleTrends" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GoogleTrends</span></a> <a href="https://hachyderm.io/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a></p>
d'aïeux et d'ailleurs<p>On peut tout faire dire aux chiffres... Ou comment utiliser les statistiques de la délinquance... Et surtout éditorialiser les dataviz RT <span class="h-card" translate="no"><a href="https://mastodon.social/@lemonde" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>lemonde</span></a></span> <br>Pourquoi il faut considérer les classements des villes les plus dangereuses avec précaution<br><a href="https://www.lemonde.fr/les-decodeurs/article/2025/03/28/pourquoi-il-faut-considerer-les-classements-des-villes-les-plus-dangereuses-avec-precaution_6587251_4355770.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">lemonde.fr/les-decodeurs/artic</span><span class="invisible">le/2025/03/28/pourquoi-il-faut-considerer-les-classements-des-villes-les-plus-dangereuses-avec-precaution_6587251_4355770.html</span></a><br><a href="https://framapiaf.org/tags/statistiques" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistiques</span></a> <a href="https://framapiaf.org/tags/opendata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opendata</span></a> <a href="https://framapiaf.org/tags/donn%C3%A9espubliques" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>donnéespubliques</span></a> <a href="https://framapiaf.org/tags/securit%C3%A9" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>securité</span></a> <a href="https://framapiaf.org/tags/biais" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biais</span></a> <a href="https://framapiaf.org/tags/editoralisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>editoralisation</span></a> <a href="https://framapiaf.org/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://framapiaf.org/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a> <a href="https://framapiaf.org/tags/veille" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>veille</span></a></p>
Will Deakin<p>These are also a fuzzy mess, and I need to get these on to a set of scalable map tiles or similar. But it has taken three months to get the shortest path code to work in anything approximately equal to a reasonable time, so this is all I've currently got.</p><p><a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://fosstodon.org/tags/Census2021" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Census2021</span></a> <a href="https://fosstodon.org/tags/Census2011" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Census2011</span></a> <a href="https://fosstodon.org/tags/EnglandWales" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EnglandWales</span></a></p><p>3/n</p>
d'aïeux et d'ailleurs<p>[<a href="https://framapiaf.org/tags/veille" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>veille</span></a>] Portraits d'archivistes - <a href="https://framapiaf.org/tags/AAFRennes2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AAFRennes2025</span></a> : datavisualisations à partir de la liste des inscrit.e.s</p><p><a href="https://patrimoine-et-numerique.fr/data-visualisations/89-portaits-darchivistes-aafrennes2025" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">patrimoine-et-numerique.fr/dat</span><span class="invisible">a-visualisations/89-portaits-darchivistes-aafrennes2025</span></a></p><p><a href="https://framapiaf.org/tags/archives" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>archives</span></a> <a href="https://framapiaf.org/tags/archivistes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>archivistes</span></a> <a href="https://framapiaf.org/tags/datalove" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datalove</span></a> <a href="https://framapiaf.org/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://framapiaf.org/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a> <a href="https://framapiaf.org/tags/OpenRefine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenRefine</span></a> <a href="https://framapiaf.org/tags/Flourish" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Flourish</span></a> <a href="https://framapiaf.org/tags/map" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>map</span></a> <br><span class="h-card" translate="no"><a href="https://a.gup.pe/u/archivistodon" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>archivistodon</span></a></span> <a href="https://framapiaf.org/tags/archivistodons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>archivistodons</span></a></p>
Jumping Rivers<p>Enhance your R data visualisation by using the {reactable} and {sparkline} packages. Learn how to include sparklines inside HTML tables in our latest blog post by our Data Scientist Osheen MacOscar.</p><p><a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://fosstodon.org/tags/Sparklines" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Sparklines</span></a> <a href="https://fosstodon.org/tags/Reactable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Reactable</span></a><br><a href="https://www.jumpingrivers.com/blog/sparkline-reactable/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">jumpingrivers.com/blog/sparkli</span><span class="invisible">ne-reactable/</span></a></p>
d'archives et d'ailleursDes sources historiques sur des <a href="https://pixelfed.fr/discover/tags/femmes?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#femmes</a> pendant les révolutions de 1789, 1830 (surtout) et 1848 !<br> A défaut d'avoir sous la main des photographies de documents originaux, une <a href="https://pixelfed.fr/discover/tags/datavisualisation?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#datavisualisation</a> du jeu de données en <a href="https://pixelfed.fr/discover/tags/opendata?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#opendata</a> <br> <br> Source : Archives nationales, jeu de données "Pensions et secours aux combattants et victimes des révolutions de 1789, 1830 et 1848" sur data.culture : <a href="https://data.culture.gouv.fr/explore/dataset/pensions-et-secours-aux-combattants-et-victimes-des-revolutions" rel="nofollow noopener noreferrer" target="_blank">https://data.culture.gouv.fr/explore/dataset/pensions-et-secours-aux-combattants-et-victimes-des-revolutions</a><br> <br> <a href="https://pixelfed.fr/discover/tags/archives?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#archives</a> <a href="https://pixelfed.fr/discover/tags/1jour1archive?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#1jour1archive</a> <a href="https://pixelfed.fr/discover/tags/archivesnationales?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#archivesnationales</a> <a href="https://pixelfed.fr/discover/tags/journéeinternationalesdesdroitsdesfemmes?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#journéeinternationalesdesdroitsdesfemmes</a> <a href="https://pixelfed.fr/discover/tags/herstory?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#herstory</a> <a href="https://pixelfed.fr/discover/tags/19esiècle?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#19esiècle</a> <a href="https://pixelfed.fr/discover/tags/Révolutionfrançaise?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#Révolutionfrançaise</a> <a href="https://pixelfed.fr/discover/tags/TroisGlorieuses?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#TroisGlorieuses</a> <a href="https://pixelfed.fr/discover/tags/Révolution1848?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#Révolution1848</a> <a href="https://pixelfed.fr/discover/tags/womeninhistory?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#womeninhistory</a> <a href="https://pixelfed.fr/discover/tags/dataviz?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://pixelfed.fr/discover/tags/sourceshistoriques?src=hash" class="u-url hashtag" rel="nofollow noopener noreferrer" target="_blank">#sourceshistoriques</a>
Will Deakin<p>For those interested in such things, I have been looking at the 2011 Census Middle Super Output Area (MSOA) travel to flow work data for England and Wales, and the break down between total flows, and then active travel (walking/cycling), public transport (metro/bus/train) and private transport (taxi/car/car passenger/motorbike). Where I end up with something like this.</p><p><a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://fosstodon.org/tags/TravelToWork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TravelToWork</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/PassengerFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PassengerFlow</span></a></p><p>1/n</p>
King's Digital Lab<p>We're recruiting a (Senior) Research Software Engineer! Join the KDL team and collaborate with partners to develop digital tools to explore academic research in new ways.</p><p><a href="https://www.kcl.ac.uk/jobs/109427-senior-research-software-engineer" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">kcl.ac.uk/jobs/109427-senior-r</span><span class="invisible">esearch-software-engineer</span></a></p><p><a href="https://hachyderm.io/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHumanities</span></a> <a href="https://hachyderm.io/tags/rse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rse</span></a> <a href="https://hachyderm.io/tags/dh" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dh</span></a> <a href="https://hachyderm.io/tags/softwaredeveloper" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>softwaredeveloper</span></a> <a href="https://hachyderm.io/tags/softwareengineer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>softwareengineer</span></a> <a href="https://hachyderm.io/tags/RSEng" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RSEng</span></a> <a href="https://hachyderm.io/tags/aiml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>aiml</span></a> <a href="https://hachyderm.io/tags/digitalcreativity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>digitalcreativity</span></a> <a href="https://hachyderm.io/tags/immersiveXR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>immersiveXR</span></a> <a href="https://hachyderm.io/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a> <a href="https://hachyderm.io/tags/indigenousdh" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>indigenousdh</span></a> <a href="https://hachyderm.io/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devops</span></a></p>
David Haskiya<p>Using knowledge graphs for network correspondence analyses, a Finnish case study using their national Sampo-infrastructure as triple-store and SPARQL endpoint.</p><p><a href="https://glammr.us/tags/LOD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LOD</span></a> <a href="https://glammr.us/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://glammr.us/tags/NetworkAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NetworkAnalysis</span></a> <a href="https://glammr.us/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHumanities</span></a></p>
David Haskiya<p>I'm saddened by the lack of reference to Prince's Purple Rain, but I do think Word Rains have potential when analysing corpora. Would be cool to have an interactive version integrated into a full-text search service! </p><p><a href="https://glammr.us/tags/DHNB2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DHNB2025</span></a> <a href="https://glammr.us/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://glammr.us/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHumanities</span></a></p>
Neil :emacs: :orgmode:<p><a href="https://fosstodon.org/tags/Sheffield" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Sheffield</span></a> hackathon on visualising food and health data...</p><p><a href="https://www.citystgeorges.ac.uk/news-and-events/events/2025/march/h3-x-food-and-you-2-data-hack-a-thon-and-visualization-event" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">citystgeorges.ac.uk/news-and-e</span><span class="invisible">vents/events/2025/march/h3-x-food-and-you-2-data-hack-a-thon-and-visualization-event</span></a></p><p><a href="https://fosstodon.org/tags/hackathon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hackathon</span></a> <a href="https://fosstodon.org/tags/citizenscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>citizenscience</span></a> <a href="https://fosstodon.org/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a></p>
Jumping Rivers<p>Check out our most recent blog on the {sparkline} package in R from our Data Scientist Osheen Macoscar!<br>Discover how to create compact, informative inline charts like line graphs, bar charts, and box plots to enhance your data visualisations.</p><p><a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/Shiny" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Shiny</span></a> <a href="https://fosstodon.org/tags/RProgramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RProgramming</span></a><br> </p><p><a href="https://www.jumpingrivers.com/blog/sparkline/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">jumpingrivers.com/blog/sparkli</span><span class="invisible">ne/</span></a></p>
Christophe Le Bot<p>Un guide de la dataviz très complet !</p><p><a href="https://piaille.fr/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://piaille.fr/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a> </p><p><a href="https://data.europa.eu/apps/data-visualisation-guide/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">data.europa.eu/apps/data-visua</span><span class="invisible">lisation-guide/</span></a></p>
Carlos Cámara-Menoyo<p><span class="h-card" translate="no"><a href="https://akademienl.social/@OpenSciTwente" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>OpenSciTwente</span></a></span> <span class="h-card" translate="no"><a href="https://vis.social/@matplotlib" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>matplotlib</span></a></span> <span class="h-card" translate="no"><a href="https://posts.dynamic.land/@bret" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>bret</span></a></span> I can think of two options for <a href="https://scholar.social/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a> <a href="https://scholar.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> </p><p><a href="https://labplot.org/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">labplot.org/</span><span class="invisible"></span></a> is a desktop <a href="https://scholar.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FLOSS</span></a> with a nice GUI to generate <a href="https://scholar.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> that can also generate code and they are on the <a href="https://scholar.social/tags/fediverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fediverse</span></a> <span class="h-card" translate="no"><a href="https://floss.social/@LabPlot" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>LabPlot</span></a></span> . </p><p><a href="https://scholar.social/tags/plotly" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>plotly</span></a> has an online visual editor that is also quite interesting: <a href="https://chart-studio.plotly.com/create/#/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">chart-studio.plotly.com/create</span><span class="invisible">/#/</span></a></p>
Jumping Rivers<p>Our courses for the first half of 2025 have now been released. We have everything from the very basics of R and Python for data science, to advanced statistical modelling and machine learning.</p><p><a href="https://fosstodon.org/tags/Programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programming</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/Shiny" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Shiny</span></a> <a href="https://fosstodon.org/tags/Quarto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Quarto</span></a> <a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://fosstodon.org/tags/Upskill" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Upskill</span></a> <a href="https://fosstodon.org/tags/Training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Training</span></a></p><p><a href="https://www.jumpingrivers.com/training/public/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">jumpingrivers.com/training/pub</span><span class="invisible">lic/</span></a></p>
ƧƿѦςɛ♏ѦਹѤʞ<p><span class="h-card" translate="no"><a href="https://c.im/@ringwoodunitarians" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ringwoodunitarians</span></a></span> <br>I just call it 'that thing made of proportional rectangles' but I think some people call it a 'treemap'.<br><a href="https://mastodon.social/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://mastodon.social/tags/chard" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chard</span></a> <a href="https://mastodon.social/tags/plot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>plot</span></a> <a href="https://mastodon.social/tags/graph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graph</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a></p>
Sarah Lea<p>Everyone knows ggplot2 in R or matplotlib in Python. But what are the differences between theese 2 programming languages and what are the most important R &amp; Python libraries for visualization? :blobcoffee: </p><p><a href="https://towardsdatascience.com/the-essential-guide-to-r-and-python-libraries-for-data-visualization-33be8511c976" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/the-ess</span><span class="invisible">ential-guide-to-r-and-python-libraries-for-data-visualization-33be8511c976</span></a></p><p><a href="https://techhub.social/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://techhub.social/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a> <a href="https://techhub.social/tags/DataScientist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScientist</span></a> <a href="https://techhub.social/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataanalytics</span></a> <a href="https://techhub.social/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataanalysis</span></a> <a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a></p>
Will Deakin<p>For those interested in such things here is a map showing the change between ORR FY2018/19 and FY2023/24 aggregated passenger in orange overlaid on a the FY2023/24 numbers in white at the same scale, with the increase on the left and decrease on the right.</p><p><a href="https://fosstodon.org/tags/ORR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ORR</span></a> <a href="https://fosstodon.org/tags/RailPassenger" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RailPassenger</span></a> <a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a></p>
HAL science<p><a href="https://social.numerique.gouv.fr/tags/scienceouverte" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scienceouverte</span></a> <a href="https://social.numerique.gouv.fr/tags/datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualisation</span></a> <br>[BLOG] Découvrez HAL monitor, un outil de visualisation pour explorer les données de HAL. <br>HAL monitor propose une interface conviviale pour produire vos rapports statistiques.<br>Lire le billet ▶️ <a href="https://www.ccsd.cnrs.fr/2024/12/hal-monitor-un-outil-de-visualisation-pour-decouvrir-les-contenus-de-hal/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">ccsd.cnrs.fr/2024/12/hal-monit</span><span class="invisible">or-un-outil-de-visualisation-pour-decouvrir-les-contenus-de-hal/</span></a></p>
Will Deakin<p>I've started to push the code changes for the 2023-24 ORR passenger flow to GitHub. I'm in the final cycle of testing from a clean install but as the data is quite big, it takes as long to download the current data and images as it now takes run.</p><p><a href="https://github.com/kingfisher" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/kingfisher</span><span class="invisible"></span></a> </p><p><a href="https://fosstodon.org/tags/PassengerRail" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PassengerRail</span></a> <a href="https://fosstodon.org/tags/DataVisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualisation</span></a></p>