3xfactorial<p>Next at <a href="https://mastodon.social/tags/WorkshopsForUkraine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WorkshopsForUkraine</span></a>: Effective <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataViz</span></a> in <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a> <a href="https://mastodon.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> in Scientific Contexts, by Christian Gebhard, Thursday April 10th, 6 pm CET. Register or sponsor a place for a student by donating to support <a href="https://mastodon.social/tags/Ukraine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ukraine</span></a>. Details: <a href="https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.b0g432iynobt" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sites.google.com/view/dariia-m</span><span class="invisible">ykhailyshyna/main/r-workshops-for-ukraine#h.b0g432iynobt</span></a></p>
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#datavisualization
6 posts · 6 participants · 0 posts today
malte<p>This shows in a very visual way that our normal brains don't really understand exactly how rich the global tech-oligarchs are <a href="https://eattherichtextformat.github.io/1-pixel-wealth/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">eattherichtextformat.github.io</span><span class="invisible">/1-pixel-wealth/</span></a> <a href="https://radikal.social/tags/inequality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inequality</span></a> <a href="https://radikal.social/tags/orderofmagnitude" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>orderofmagnitude</span></a> <a href="https://radikal.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a></p>
datatofu<p>(pandas 📋) For <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> users, the DataFrame name will be familiar, as the object was named after the similar R data.frame object. Unlike Python, data frames are built into the R programming language and its standard library. As a result, many features found in pandas are typically either part of the R core implementation or provided by add-on packages</p><p>matplotlib. The most popular Python library for producing plots and other two-dimensional <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> or <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> </p><p>IPython & Jupyter</p>
Statistics Globe<p>gganimate is a powerful extension for ggplot2 that transforms static visualizations into dynamic animations. By adding a time dimension, it allows you to illustrate trends, changes, and patterns in your data more effectively.</p><p>The attached animated visualization, which I created with gganimate, showcases a ranked bar chart of the top 3 countries for each year based on inflation since 1980.</p><p>More information: <a href="https://statisticsglobe.com/online-course-data-visualization-ggplot2-r" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-data-visualization-ggplot2-r</span></a></p><p><a href="https://mastodon.social/tags/datastructure" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datastructure</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://mastodon.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidyverse</span></a> <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a></p>
Marian Dörk<p>Promising 4-year, fully-funded PhD position in Architecture and Data Visualization at TU Delft – explore sensor data, design impacts, and ecology. </p><p>Apply by 15 Apr 2025!</p><p><a href="https://careers.tudelft.nl/job/Delft-PhD-Position-in-Architecture-and-Data-Visualization-2628-CD/814989002/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">careers.tudelft.nl/job/Delft-P</span><span class="invisible">hD-Position-in-Architecture-and-Data-Visualization-2628-CD/814989002/</span></a></p><p><a href="https://vis.social/tags/PhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhD</span></a> <a href="https://vis.social/tags/PhDPosition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhDPosition</span></a> <a href="https://vis.social/tags/Architecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Architecture</span></a> <a href="https://vis.social/tags/DataVis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVis</span></a> <a href="https://vis.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataViz</span></a> <a href="https://vis.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://vis.social/tags/AcademicJob" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AcademicJob</span></a> <a href="https://vis.social/tags/TUDelft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TUDelft</span></a></p>
😵💫<p>On Tuesday, the new members of the German Bundestag took their seats. I took this opportunity to apply my dataviz approach to other countries, starting with Germany. The site is now also multilingual!</p><p>➡️ <a href="http://legislatures.vercel.app/en/germany" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">legislatures.vercel.app/en/ger</span><span class="invisible">many</span></a></p><p>The question I'm asking myself is, should I go back beyond 1949? 1919? 1871?</p><p>In any case, I plan to cover the GDR soon, on a separate page.</p><p><a href="https://typo.social/@spratch/113913623981351788" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">typo.social/@spratch/113913623</span><span class="invisible">981351788</span></a></p><p><a href="https://typo.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://typo.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://typo.social/tags/bundestag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bundestag</span></a></p>
😵💫<p>Mardi, les nouveaux députés sont entrés au Bundestag allemand. J'ai profité de cette occasion pour appliquer le principe de ma dataviz à d'autres pays en commençant par l'Allemagne. Le site est également désormais multilingue !</p><p>➡️ <a href="http://legislatures.vercel.app/fr/germany" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">legislatures.vercel.app/fr/ger</span><span class="invisible">many</span></a></p><p>La question que je me pose est devrais-je remonter au delà de 1949 ? 1919 ? 1871 ?</p><p>En tout cas j'ai prévu de faire la RDA prochainement, sur une page à part.</p><p><a href="https://typo.social/@spratch/113913623981351788" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">typo.social/@spratch/113913623</span><span class="invisible">981351788</span></a></p><p><a href="https://typo.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://typo.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://typo.social/tags/bundestag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bundestag</span></a></p>
ReDATA, University of Arizona<p>🦷💰 Did you know that untreated dental disease costs the U.S. $45 billion in lost productivity each year?📊 Explore more eye-opening stats in Stefan Marinic’s award-winning visualization from the undergraduate category of University of Arizona’s 2023 <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> Challenge! Check it out: <a href="https://doi.org/10.25422/azu.data.22728839" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.25422/azu.data.2272</span><span class="invisible">8839</span></a>. Image: Marinic (2023). CC-BY 4.0.<br><a href="https://mastodon.social/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenData</span></a> <a href="https://mastodon.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a> <a href="https://mastodon.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataViz</span></a> <a href="https://mastodon.social/tags/DentalHealth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DentalHealth</span></a> <a href="https://mastodon.social/tags/UniversityofArizona" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UniversityofArizona</span></a></p>
Steve Duncan<p><span class="h-card" translate="no"><a href="https://masto.hypertelia.com/@pete" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>pete</span></a></span> this led to my first rule of data visualization: never show the adminisphere fake data. </p><p>They use real data points they recognize to figure out how to read things, and when they don’t see them it is “wrong”. <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a></p>
Vis Lab @ Khoury, Northeastern<p>Congratulations DOCTOR Liudas Panavas on the successful defense of his dissertation "Bridging the Gap: Human Centered Research for Democratizing <a href="https://vis.social/tags/DifferentialPrivacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DifferentialPrivacy</span></a> " 🎉 and congrats to advisor <span class="h-card" translate="no"><a href="https://vis.social/@codydunne" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>codydunne</span></a></span> ❤️ <a href="https://vis.social/tags/HCI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HCI</span></a> <a href="https://vis.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> </p><p><a href="https://lpanavas.github.io/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lpanavas.github.io/</span><span class="invisible"></span></a></p>
Paulo<p>I have been playing with the QGIS model designer a bit more. This time, to create a model that I can use to quickly compare how two raster layers by plotting their values in a scatter plot. <a href="https://ecodiv.earth/post/raster_scatterplot/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ecodiv.earth/post/raster_scatt</span><span class="invisible">erplot/</span></a>. <a href="https://fosstodon.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QGIS</span></a> <a href="https://fosstodon.org/tags/FOSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FOSS</span></a> <a href="https://fosstodon.org/tags/osgeo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>osgeo</span></a> <a href="https://fosstodon.org/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a></p>
Europe Says<p><a href="https://www.europesays.com/1932562/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1932562/</span><span class="invisible"></span></a> No More Tableau Downtime: Metadata API for Proactive Data Health <a href="https://pubeurope.com/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://pubeurope.com/tags/DataManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataManagement</span></a> <a href="https://pubeurope.com/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://pubeurope.com/tags/DeepDives" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepDives</span></a> <a href="https://pubeurope.com/tags/Metadata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Metadata</span></a> <a href="https://pubeurope.com/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://pubeurope.com/tags/tableau" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tableau</span></a></p>
Víctor Gauto<p><a href="https://fosstodon.org/tags/TidyTuesday" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TidyTuesday</span></a> Nombres más populares de gatos y perros en un refugio de California.</p><p>Script: <a href="https://vhgauto.github.io/tidytuesday/2025/semana_09.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">vhgauto.github.io/tidytuesday/</span><span class="invisible">2025/semana_09.html</span></a> </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/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataviz</span></a> <a href="https://fosstodon.org/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a></p>
Max Frischknecht<p>At the beginning of the year, the Federal Office of Topography published the <a href="https://www.swisstopo.admin.ch/de/landschaftsmodell-swisstne-base" rel="nofollow noopener noreferrer" target="_blank">swissTNE Base</a>, which summarises all transport routes (rail, road, cable and water). </p><p>Having this data, you can't avoid the temptation to recreate <span class="h-card" translate="no"><a href="https://information.garden/@benfry" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>benfry</span></a></span> beautiful 2010 work <a href="https://benfry.com/allstreets/" rel="nofollow noopener noreferrer" target="_blank">All Streets</a></p><p><a href="https://tldr.nettime.org/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://tldr.nettime.org/tags/opendata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opendata</span></a> <a href="https://tldr.nettime.org/tags/cartography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cartography</span></a></p>
Statistics Globe<p>Evaluating the normality of your data is crucial in statistical analysis, as many techniques assume that the data and/or residuals follow a normal distribution.</p><p>The visualization in the post contrasts two QQ plots: the left plot shows a data set following a normal distribution, where the points align closely with the reference line.</p><p>Check out this tutorial: <a href="https://statisticsglobe.com/r-qqplot-qqnorm-qqline-function" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/r-qqplot-q</span><span class="invisible">qnorm-qqline-function</span></a></p><p>Click this link for detailed information: <a href="https://statisticsglobe.com/online-course-statistical-methods-r" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-statistical-methods-r</span></a></p><p><a href="https://mastodon.social/tags/datascientists" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascientists</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a></p>
Max Frischknecht<p>Happy to share that a few weeks ago I successfully defended my dissertation as the first doctoral student of Digital Humanities at the University of Bern (insigni cum laude). </p><p>My study under the title «Generative Data Design: Data Visualization as Argumentative Process in The Digital Humanities» developed a practical and critical design method that conceptualizes data visualization as an argumentative process (contrary to the idea of visualizations being neutral and objective) supporting the interpretation of digital cultural heritage collections.</p><p>A great thank you goes to my supervisors Tobias Hodel and Ulrike Felsing (University of Bern) as well as Kurt Fendt (MIT Comparative Media Studies/Writing). And of course to all my friends, family and colleagues who supported this journey in a diversity of ways. 🙏</p><p>Next up: Publication process. </p><p><a href="https://tldr.nettime.org/tags/digitalhumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>digitalhumanities</span></a> <a href="https://tldr.nettime.org/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://tldr.nettime.org/tags/criticaldatastudies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>criticaldatastudies</span></a> <a href="https://tldr.nettime.org/tags/generativedesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>generativedesign</span></a> <a href="https://tldr.nettime.org/tags/desingresearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>desingresearch</span></a></p>
LMS Solution<p>AI-Driven Automation for Research Paper Visuals with Visme<br>Automate creation of flowcharts, graphs, and charts for research papers.<br><a href="https://zurl.co/XJ2eg" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zurl.co/XJ2eg</span><span class="invisible"></span></a><br><a href="https://zurl.co/b31R6" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zurl.co/b31R6</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Visme" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Visme</span></a> <a href="https://mastodon.social/tags/ResearchPapers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchPapers</span></a> <a href="https://mastodon.social/tags/Flowcharts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Flowcharts</span></a> <a href="https://mastodon.social/tags/Graphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphs</span></a> <a href="https://mastodon.social/tags/Charts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Charts</span></a> <a href="https://mastodon.social/tags/Automation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Automation</span></a> <a href="https://mastodon.social/tags/Visuals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Visuals</span></a> <a href="https://mastodon.social/tags/AcademicTools" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AcademicTools</span></a> <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.social/tags/ResearchSupport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchSupport</span></a> <a href="https://mastodon.social/tags/AIChatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIChatbot</span></a> <a href="https://mastodon.social/tags/DesignAutomation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DesignAutomation</span></a> <a href="https://mastodon.social/tags/PaperPresentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PaperPresentation</span></a> <a href="https://mastodon.social/tags/SmartGraphics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SmartGraphics</span></a></p>
Statistics Globe<p>Local regression is a non-parametric method for fitting smooth curves to data by applying multiple localized regressions. It is useful for uncovering non-linear relationships when the data’s exact form is unknown. Proper use of local regression can reveal trends in noisy data, but poor implementation might lead to misleading results.</p><p>Image: <a href="https://en.wikipedia.org/wiki/Local_regression#/media/File:Loess_curve.svg" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Local_re</span><span class="invisible">gression#/media/File:Loess_curve.svg</span></a></p><p>More details: <a href="http://eepurl.com/gH6myT" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/gH6myT</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>database</span></a> <a href="https://mastodon.social/tags/package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>package</span></a> <a href="https://mastodon.social/tags/bigdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bigdata</span></a> <a href="https://mastodon.social/tags/businessanalyst" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>businessanalyst</span></a> <a href="https://mastodon.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidyverse</span></a> <a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://mastodon.social/tags/rprogramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rprogramming</span></a></p>
Europe Says<p><a href="https://www.europesays.com/1910178/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1910178/</span><span class="invisible"></span></a> Heatmaps for Time Series | Towards Data Science <a href="https://pubeurope.com/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://pubeurope.com/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://pubeurope.com/tags/HandsOnTutorials" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HandsOnTutorials</span></a> <a href="https://pubeurope.com/tags/Heatmap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Heatmap</span></a> <a href="https://pubeurope.com/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://pubeurope.com/tags/TimeSeriesAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeSeriesAnalysis</span></a></p>
GIS OpenCourseWare<p>🚀 Wrapping up the last day of <a href="https://fosstodon.org/tags/OpenEducationWeek2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenEducationWeek2025</span></a>, coinciding with <a href="https://fosstodon.org/tags/OpenDataDay" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenDataDay</span></a>! Using fantastic open data to create amazing and fun map designs. 🌍💻</p><p>Highlighting the course: Creating data visualisation with graphs, maps, and animations! 🌟 Topics include:</p><p>📍 Symbolizing Points by Varying Size</p><p>🌡️ Creating Heatmaps</p><p>🗺️ Creating Choropleth Maps</p><p>🧩 Visualizing Mesh Data</p><p>🎞️ Creating Animations</p><p>Learn more here: <a href="https://courses.gisopencourseware.org/course/view.php?id=51" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">courses.gisopencourseware.org/</span><span class="invisible">course/view.php?id=51</span></a></p><p><a href="https://fosstodon.org/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://fosstodon.org/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://fosstodon.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QGIS</span></a> <a href="https://fosstodon.org/tags/MapDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MapDesign</span></a></p>
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