John Samuel<p>Exploring “The Multiplicity Effect” in cellular automata! </p><p>My new experiments reveal what happens when we scale from classical one to 2, 3, 4, or 5 initial points across different grid positions. Rules creates particularly mesmerizing patterns when using multicolor palettes.</p><p><a href="https://jsamwrites.medium.com/the-multiplicity-effect-scaling-initial-points-in-cellular-automata-systems-407851c17f8d" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jsamwrites.medium.com/the-mult</span><span class="invisible">iplicity-effect-scaling-initial-points-in-cellular-automata-systems-407851c17f8d</span></a></p><p><a href="https://mastodon.social/tags/CellularAutomata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CellularAutomata</span></a> <a href="https://mastodon.social/tags/GenerativeArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeArt</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/GenArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenArt</span></a> <a href="https://mastodon.social/tags/DigitalArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalArt</span></a></p>
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#datavisualization
5 posts · 5 participants · 0 posts today
LavX News<p>Revolutionizing Finance: Tracelight's AI-Powered Insights for Excel Models</p><p>Tracelight is transforming how finance professionals interact with complex Excel models by leveraging AI to provide context-aware insights and error detection. This innovative tool promises to enhance...</p><p><a href="https://news.lavx.hu/article/revolutionizing-finance-tracelight-s-ai-powered-insights-for-excel-models" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/revolutio</span><span class="invisible">nizing-finance-tracelight-s-ai-powered-insights-for-excel-models</span></a></p><p><a href="https://ioc.exchange/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://ioc.exchange/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://ioc.exchange/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://ioc.exchange/tags/AIinFinance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIinFinance</span></a> <a href="https://ioc.exchange/tags/ExcelAutomation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ExcelAutomation</span></a></p>
LavX News<p>Revolutionizing Finance: Tracelight's AI-Powered Insights for Excel Models</p><p>Tracelight is transforming how finance professionals interact with complex Excel models by leveraging AI to provide context-aware insights and error detection. This innovative tool promises to enhance...</p><p><a href="https://news.lavx.hu/article/revolutionizing-finance-tracelight-s-ai-powered-insights-for-excel-models" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/revolutio</span><span class="invisible">nizing-finance-tracelight-s-ai-powered-insights-for-excel-models</span></a></p><p><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://mastodon.cloud/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.cloud/tags/AIinFinance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIinFinance</span></a> <a href="https://mastodon.cloud/tags/ExcelAutomation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ExcelAutomation</span></a></p>
Jane<p>From research prototype to production! This project began as a research idea during my internship with Ozette this time last year: what if we could create a chat interface for a single-cell phenotyping visual analytics dashboard, and actually have an agent *reconfigure the visualization for you*? One year later, after lots of testing, our system architecture is deployed in production 🤓 Paper forthcoming! Read more: <a href="https://www.linkedin.com/posts/ozette_asgct2025-lifesciences-pharma-activity-7326304968980811776-aozr/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/posts/ozette_asgc</span><span class="invisible">t2025-lifesciences-pharma-activity-7326304968980811776-aozr/</span></a></p><p><a href="https://datavis.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://datavis.social/tags/Genomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Genomics</span></a> <a href="https://datavis.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://datavis.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://datavis.social/tags/HCI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HCI</span></a></p>
John Samuel<p>Exploring cellular automata with seeds in bottom quadrants has revealed some stunning results! Certain rules created mountain formations with beautiful reflection effects. </p><p>I am surprised how gradient colors transform these simple rules into dynamic landscapes. </p><p><a href="https://medium.com/@jsamwrites/the-wandering-point-reflective-symmetries-in-cellular-automata-2ac952220952" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@jsamwrites/the-wan</span><span class="invisible">dering-point-reflective-symmetries-in-cellular-automata-2ac952220952</span></a></p><p><a href="https://mastodon.social/tags/CellularAutomata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CellularAutomata</span></a> <a href="https://mastodon.social/tags/GenerativeArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeArt</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/GenArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenArt</span></a> <a href="https://mastodon.social/tags/DigitalArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalArt</span></a></p>
ScriptsTown<p>📊 Best Data Visualization Tools to Simplify Business Analysis 📈</p><p>This guide shows the best tools for turning your data into easy-to-read charts and dashboards.</p><p>📈 Turn business data into clear insights<br>📊 Pick the right chart types for different data sets<br>🧩 Combine data from multiple sources into one view<br>🔄 Create visualizations that update in real-time<br>🧲 Spot trends and share findings with your team</p><p><a href="https://scriptstown.com/best-data-visualization-software-for-interactive-business-analysis/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">scriptstown.com/best-data-visu</span><span class="invisible">alization-software-for-interactive-business-analysis/</span></a></p><p><a href="https://mastodon.social/tags/Business" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Business</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/Software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Software</span></a> <a href="https://mastodon.social/tags/Blog" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Blog</span></a> <a href="https://mastodon.social/tags/DigitalMarketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalMarketing</span></a> <a href="https://mastodon.social/tags/Guide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Guide</span></a></p>
Statistics Globe<p>Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.</p><p>The attached visual, which I created using ggpubr, demonstrates its versatility.</p><p>Additional 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/bigdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bigdata</span></a> <a href="https://mastodon.social/tags/visualanalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>visualanalytics</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/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> <a href="https://mastodon.social/tags/statisticalanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalanalysis</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/package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>package</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a></p>
John Samuel<p>Most textbook examples use somewhat boring monochrome visuals for Cellular Automata. In a series of posts, I’m exploring how to bring these lifelike systems to life through color. Here's the first one, where I experiment with color gradients to paint evolving landscapes.</p><p><a href="https://jsamwrites.medium.com/painting-landscapes-cellular-automata-through-color-gradients-31101316bf02" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jsamwrites.medium.com/painting</span><span class="invisible">-landscapes-cellular-automata-through-color-gradients-31101316bf02</span></a></p><p><a href="https://mastodon.social/tags/CellularAutomata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CellularAutomata</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/GenerativeArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeArt</span></a> <a href="https://mastodon.social/tags/ComplexSystems" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComplexSystems</span></a> <a href="https://mastodon.social/tags/ComputationalCreativity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalCreativity</span></a> <a href="https://mastodon.social/tags/GenArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenArt</span></a></p>
LavX News<p>Unlocking Insights: Analyzing Your YouTube Watch History with a New Web App</p><p>Dive into your YouTube habits with the YouTube History Analyzer, a powerful web application that transforms your viewing data into actionable insights. By leveraging advanced data visualization techni...</p><p><a href="https://news.lavx.hu/article/unlocking-insights-analyzing-your-youtube-watch-history-with-a-new-web-app" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/unlocking</span><span class="invisible">-insights-analyzing-your-youtube-watch-history-with-a-new-web-app</span></a></p><p><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://mastodon.cloud/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.cloud/tags/React" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>React</span></a> <a href="https://mastodon.cloud/tags/Nextjs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nextjs</span></a></p>
ReDATA, University of Arizona<p>🌿🌧️ Predicting the extent of invasive Buffelgrass is important for its management. Travis Matlock, a runner-up in the @uazlibraries 2024 <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> Challenge, in collaboration with the USA NPN, created an informative map that tracks rainfall "events" over a 30-day period to forecast buffelgrass green-up 1–2 weeks in advance. Check out the map here: <a href="https://doi.org/10.25422/azu.data.25705419" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.25422/azu.data.2570</span><span class="invisible">5419</span></a><br>Travis Matlock (2024). CC-BY 4.0. <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/buffelgrass" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>buffelgrass</span></a> <a href="https://mastodon.social/tags/climatedata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>climatedata</span></a> <a href="https://mastodon.social/tags/UniversityofArizona" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UniversityofArizona</span></a></p>
Statistics Globe<p>Making your data analysis more insightful and informative is effortless with ggstatsplot. This powerful ggplot2 extension in R combines statistical analysis and data visualization in a single workflow, helping you generate plots that include statistical summaries directly on the visualizations.</p><p>The attached visual, which I created using ggstatsplot, showcases its capabilities.</p><p>Learn more: <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/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> <a href="https://mastodon.social/tags/statisticalanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalanalysis</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/dataanalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataanalytics</span></a></p>
Hacker News<p>Creating beautiful charts with JRuby and JFreeChart</p><p><a href="https://blog.headius.com/2025/04/beautiful-charts-with-jruby-and-jfreechart.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.headius.com/2025/04/beaut</span><span class="invisible">iful-charts-with-jruby-and-jfreechart.html</span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/Creating" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Creating</span></a> <a href="https://mastodon.social/tags/beautiful" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>beautiful</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/with" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>with</span></a> <a href="https://mastodon.social/tags/JRuby" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JRuby</span></a> <a href="https://mastodon.social/tags/and" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>and</span></a> <a href="https://mastodon.social/tags/JFreeChart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JFreeChart</span></a> <a href="https://mastodon.social/tags/JRuby" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JRuby</span></a> <a href="https://mastodon.social/tags/JFreeChart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JFreeChart</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/Programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programming</span></a></p>
utzer [Pleroma]Hey everyone!<br>I’m looking for a good way to create a <a class="hashtag" href="https://soc.utzer.de/tag/graph" rel="nofollow noopener noreferrer" target="_blank">#graph</a> or <a class="hashtag" href="https://soc.utzer.de/tag/chart" rel="nofollow noopener noreferrer" target="_blank">#chart</a> from a <a class="hashtag" href="https://soc.utzer.de/tag/dataset" rel="nofollow noopener noreferrer" target="_blank">#dataset</a> under <a class="hashtag" href="https://soc.utzer.de/tag/linux" rel="nofollow noopener noreferrer" target="_blank">#Linux</a>.<br><br>The data is in a <a class="hashtag" href="https://soc.utzer.de/tag/csv" rel="nofollow noopener noreferrer" target="_blank">#CSV</a> file and has around 180,000 rows. One column contains the timestamps, and several other columns contain the actual <a class="hashtag" href="https://soc.utzer.de/tag/measurement" rel="nofollow noopener noreferrer" target="_blank">#measurement</a> values.<br><br>Not every value is recorded at every timestamp, so there are different <a class="hashtag" href="https://soc.utzer.de/tag/sampling" rel="nofollow noopener noreferrer" target="_blank">#sampling</a> rates across columns, and some fields are empty. The solution should be able to handle that – missing data, large file size, and multiple series plotted over <a class="hashtag" href="https://soc.utzer.de/tag/time" rel="nofollow noopener noreferrer" target="_blank">#time</a>.<br><br>What’s your preferred tool or approach for this kind of visualization?<br>Ideally something scriptable or easily repeatable.<br><br><a class="hashtag" href="https://soc.utzer.de/tag/datavisualization" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a class="hashtag" href="https://soc.utzer.de/tag/csvhandling" rel="nofollow noopener noreferrer" target="_blank">#CSVHandling</a> <a class="hashtag" href="https://soc.utzer.de/tag/linux" rel="nofollow noopener noreferrer" target="_blank">#Linux</a>
Miki :rstats:<p>¡Reto <a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> 2025 COMPLETADO! 🎉📊 30 días, 30 visualizaciones con <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> y <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a>.</p><p>Ha sido un viaje increíble explorando comparaciones, distribuciones, relaciones (¡animales!), series temporales (sociales, económicas) e incertidumbre (riesgo, exoplanetas, mapas...).</p><p>Puedes ver la galería completa (y todo el código) en mi repositorio:<br>📂 <a href="https://github.com/michal0091/dataviz/tree/main/R/30DayChartChallenge2025" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/michal0091/dataviz/</span><span class="invisible">tree/main/R/30DayChartChallenge2025</span></a></p><p>¡Gracias por seguir el reto! <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/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://techhub.social/tags/DataStorytelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataStorytelling</span></a> <a href="https://techhub.social/tags/ChallengeComplete" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChallengeComplete</span></a> <a href="https://techhub.social/tags/Rprogramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rprogramming</span></a></p>
Miki :rstats:<p><a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> ¡Día 30 y FIN! 🎉 Último tema: National Geographic 🗺. Mi mapa: Riesgo de Desertificación en España (Península, Baleares y Canarias), estilo NatGeo. <a href="https://techhub.social/tags/UncertaintiesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UncertaintiesWeek</span></a> <a href="https://techhub.social/tags/Mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mapping</span></a></p><p>Visualizando la vulnerabilidad territorial (riesgo/incertidumbre) con datos del PAND (MITECO 2008). Colores de amarillo pálido (Bajo) a rojo oscuro (Muy Alto).</p><p>Intenté capturar la esencia NatGeo: paleta, fuentes (Lato/Gudea), escala, norte y la famosa ¡banda amarilla! 🟨 (añadida con grid). Canarias colocadas con {mapSpain}.</p><p>¡Un desafío cartográfico para terminar el mes! ¡Encantado de haber completado los 30 días! 💪</p><p>🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/sf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sf</span></a> <a href="https://techhub.social/tags/ggspatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggspatial</span></a> <a href="https://techhub.social/tags/mapSpain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapSpain</span></a> <a href="https://techhub.social/tags/grid" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>grid</span></a> | Data: MITECO PAND | Theme: Custom NatGeo<br>📂 Código Final del Reto: <a href="https://t.ly/Ol06w" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/Ol06w</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day30" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day30</span></a> <a href="https://techhub.social/tags/NationalGeographic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NationalGeographic</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/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://techhub.social/tags/Desertificacion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Desertificacion</span></a> <a href="https://techhub.social/tags/Espa%C3%B1a" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>España</span></a> <a href="https://techhub.social/tags/MedioAmbiente" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MedioAmbiente</span></a> <a href="https://techhub.social/tags/RiskMap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RiskMap</span></a> <a href="https://techhub.social/tags/Cartografia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cartografia</span></a> <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://techhub.social/tags/ChallengeComplete" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChallengeComplete</span></a></p>
Miki :rstats:<p><a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> Día 29: Extraterrestrial! 👽✨ ¡Planetas con su incertidumbre a cuestas! <a href="https://techhub.social/tags/UncertaintiesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UncertaintiesWeek</span></a> <a href="https://techhub.social/tags/Astronomy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Astronomy</span></a></p><p>Volvemos al gráfico Radio vs Insolación (log-log, color=Temp) de exoplanetas (NASA Archive). Pero hoy añadimos una capa visual para la incertidumbre: el "halo" gris ⚪️ detrás de cada punto.</p><p>El tamaño del halo es proporcional al log(error) reportado para la Insolación. ¡Halos grandes = más incertidumbre en la energía que recibe ese planeta!</p><p>Es un recordatorio de que los datos astronómicos tienen errores y no todos los puntos son igual de "seguros". Interesante ver qué planetas en la zona habitable (verde) tienen más incertidumbre. (+ Venus/Tierra/Marte 💎).</p><p>🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/ggrepel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggrepel</span></a> | Data: NASA | Theme: <a href="https://techhub.social/tags/theme_week5_uncertainty" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theme_week5_uncertainty</span></a><br>📂 Código/Viz: <a href="https://t.ly/ygNLW" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/ygNLW</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day29" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day29</span></a> <a href="https://techhub.social/tags/Extraterrestrial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Extraterrestrial</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/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://techhub.social/tags/Exoplanets" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Exoplanets</span></a> <a href="https://techhub.social/tags/HabitableZone" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HabitableZone</span></a> <a href="https://techhub.social/tags/Astrobiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Astrobiology</span></a> <a href="https://techhub.social/tags/UncertaintyViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UncertaintyViz</span></a> <a href="https://techhub.social/tags/ErrorVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ErrorVisualization</span></a> <a href="https://techhub.social/tags/NASA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NASA</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://techhub.social/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Science</span></a></p>
Jane<p>The CFP for the 2025 Information Plus conference is now out and available at our website here: <a href="https://informationplusconference.com/2025/submissions.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">informationplusconference.com/</span><span class="invisible">2025/submissions.html</span></a></p><p>Please consider submitting a presentation, workshop, or exhibition for the conference at Northeastern and MIT November 14-16! <a href="https://datavis.social/tags/InfoPlus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InfoPlus</span></a> <a href="https://datavis.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://datavis.social/tags/DataJournalism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataJournalism</span></a> <a href="https://datavis.social/tags/HCI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HCI</span></a> <a href="https://datavis.social/tags/Humanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Humanities</span></a> <a href="https://datavis.social/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a> <a href="https://datavis.social/tags/Art" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Art</span></a></p>
Miki :rstats:<p><a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> Día 28: Inclusion! 🤝 O... la falta de ella a nivel territorial en España 🇪🇸. Hoy comparamos la evolución de la tasa de paro trimestral (EPA/INE, 2005-2024) en varias CC.AA. vs la media nacional (rojo). <a href="https://techhub.social/tags/UncertaintiesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UncertaintiesWeek</span></a> <a href="https://techhub.social/tags/SocialData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SocialData</span></a></p><p>¡El gráfico habla por sí solo! Mirad la enorme brecha que se abre, sobre todo tras 2008, entre regiones como Andalucía y otras como País Vasco o Navarra. Madrid, más cerca de la media. Refleja mercados laborales muy diferentes y retos de cohesión enormes. La "inclusión" territorial en el empleo sigue siendo una asignatura pendiente.</p><p>Una visualización para reflexionar sobre las desigualdades estructurales.</p><p>🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/data_table" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data_table</span></a> | Data: INE (EPA) | Theme: <a href="https://techhub.social/tags/theme_week5_uncertainty" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theme_week5_uncertainty</span></a><br>📂 Código/Viz: <a href="https://t.ly/UwPQG" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/UwPQG</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day28" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day28</span></a> <a href="https://techhub.social/tags/Inclusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Inclusion</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/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://techhub.social/tags/Paro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Paro</span></a> <a href="https://techhub.social/tags/Unemployment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Unemployment</span></a> <a href="https://techhub.social/tags/EPA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EPA</span></a> <a href="https://techhub.social/tags/INE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>INE</span></a> <a href="https://techhub.social/tags/Espa%C3%B1a" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>España</span></a> <a href="https://techhub.social/tags/Desigualdad" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Desigualdad</span></a> <a href="https://techhub.social/tags/Territorio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Territorio</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://techhub.social/tags/TimeseriesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeseriesWeek</span></a></p>
Miki :rstats:<p><a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> Día 27: ¡Ruido! 📉 Analizando los residuos (el "ruido" inexplicable) del modelo CAPM para Telefónica (TEF.MC) vs IBEX 35. <a href="https://techhub.social/tags/UncertaintiesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UncertaintiesWeek</span></a> <a href="https://techhub.social/tags/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finance</span></a></p><p>Este gráfico muestra la serie temporal del error diario del modelo (~18 años). ¿Es solo ruido blanco o algo más? 🤔 Para comprobarlo, ¡test de Dickey-Fuller Aumentado (ADF)!</p><p>Resultado ADF: p=0.01. ¡Rechazamos la raíz unitaria! 🎉 Esto sugiere que los residuos son estacionarios, fluctúan alrededor de cero como un "ruido" bien comportado (aunque su volatilidad cambia). ¡Buena señal para el modelo! (R²≈0.66).</p><p>Visualizando el componente idiosincrático y su (falta de) tendencia.</p><p>🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/quantmod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>quantmod</span></a> <a href="https://techhub.social/tags/tseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tseries</span></a> | Data: Yahoo/Investing | Theme: <a href="https://techhub.social/tags/theme_week5_uncertainty" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theme_week5_uncertainty</span></a><br>📂 Código/Viz: <a href="https://t.ly/nr0nm" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/nr0nm</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day27" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day27</span></a> <a href="https://techhub.social/tags/Noise" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Noise</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/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://techhub.social/tags/CAPM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CAPM</span></a> <a href="https://techhub.social/tags/Residuals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Residuals</span></a> <a href="https://techhub.social/tags/Stationarity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Stationarity</span></a> <a href="https://techhub.social/tags/ADFtest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ADFtest</span></a> <a href="https://techhub.social/tags/Econometrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Econometrics</span></a> <a href="https://techhub.social/tags/RiskManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RiskManagement</span></a> <a href="https://techhub.social/tags/TEF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TEF</span></a> <a href="https://techhub.social/tags/IBEX35" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IBEX35</span></a> <a href="https://techhub.social/tags/Bolsa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bolsa</span></a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/TimeseriesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeseriesWeek</span></a></p>
Miki :rstats:<p><a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> Día 26: Monochrome! 🖤🤍 Riesgo y Recompensa en el IBEX 35, versión minimalista. <a href="https://techhub.social/tags/UncertaintiesWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UncertaintiesWeek</span></a> <a href="https://techhub.social/tags/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finance</span></a></p><p>Este gráfico monocromo muestra la evolución (ventana móvil 1 año) de:<br>⚫️ Ratio de Sharpe Anualizado (eje izq.): ¿Compensa el riesgo asumido? (Usando Bono Alemán 10A como Rf).<br>▒ Volatilidad Anualizada (eje der., discontinua): ¡El riesgo puro y duro!</p><p>La historia que cuenta: ¡cuando sube la volatilidad (gris), el Sharpe (negro) tiende a caer en picado (a veces bajo cero)! Visualiza la dinámica riesgo-recompensa del índice español en las últimas dos décadas.</p><p>🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/data_table" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data_table</span></a> <a href="https://techhub.social/tags/quantmod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>quantmod</span></a> | Data: Yahoo/Investing | Theme: Mod. theme_light<br>📂 Código/Viz: <a href="https://t.ly/pI1aF" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/pI1aF</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day26" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day26</span></a> <a href="https://techhub.social/tags/Monochrome" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Monochrome</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/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://techhub.social/tags/SharpeRatio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SharpeRatio</span></a> <a href="https://techhub.social/tags/Volatility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Volatility</span></a> <a href="https://techhub.social/tags/RiskManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RiskManagement</span></a> <a href="https://techhub.social/tags/MarketRisk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MarketRisk</span></a> <a href="https://techhub.social/tags/IBEX35" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IBEX35</span></a> <a href="https://techhub.social/tags/Bolsa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bolsa</span></a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a> <a href="https://techhub.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeSeries</span></a></p>
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