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Miki :rstats:<p><a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>30DayChartChallenge</span></a> Día 13: Clusters Animales! 🐾 Explorando la relación Masa Corporal vs Longevidad Máxima. <a href="https://techhub.social/tags/RelationshipsWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RelationshipsWeek</span></a></p><p>Usando un dataset de Kaggle (+170 especies, ¡gracias S. Banerjee!) y tras una divertida limpieza de datos con rangos/unidades mixtas 😅, este scatter plot log-log revela patrones.</p><p>Coloreamos por Dieta: 🥩Carnívoro(verde) 🌿Herbívoro(ocre) ❓Omnívoro(azul).<br>Se ve la tendencia general (más grande = más longevo), pero los clústeres por dieta sugieren distintas **estrategias de historia de vida**. ¿Cómo gestionan su energía y longevidad según lo que comen? 🤔</p><p>¡Una visualización para explorar la alometría y la diversidad ecológica!</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> y mi nuevo tema <a href="https://techhub.social/tags/theme_week3_animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theme_week3_animals</span></a>.<br>📂 Código/Viz: <a href="https://t.ly/ehPiu" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/ehPiu</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day13" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day13</span></a> <a href="https://techhub.social/tags/Clusters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Clusters</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/Ecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ecology</span></a> <a href="https://techhub.social/tags/Evolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Evolution</span></a> <a href="https://techhub.social/tags/LifeHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LifeHistory</span></a> <a href="https://techhub.social/tags/AnimalTraits" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AnimalTraits</span></a> <a href="https://techhub.social/tags/Biodiversity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Biodiversity</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/Kaggle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kaggle</span></a></p>
LavX News<p>Revolutionize Your Data Visualization with Charts.css: A Modern CSS Framework</p><p>Charts.css is redefining the way developers approach data visualization by offering a lightweight, dependency-free CSS framework. With a variety of customizable chart types and a focus on semantic HTM...</p><p><a href="https://news.lavx.hu/article/revolutionize-your-data-visualization-with-charts-css-a-modern-css-framework" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/revolutio</span><span class="invisible">nize-your-data-visualization-with-charts-css-a-modern-css-framework</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/ChartsCSS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChartsCSS</span></a> <a href="https://mastodon.cloud/tags/CSSFramework" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CSSFramework</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 12: Gov Data Day! 🏛️ Explorando la distribución del spread 10Y-2Y del Tesoro USA (datos de FRED desde 1976).</p><p>Este histograma/densidad va más allá del valor diario: muestra la *probabilidad* histórica de cada nivel del spread. ¡Clave para entender expectativas económicas!</p><p>Puntos clave:<br>* Modo principal &gt; 0 (curva normal es lo más común).<br>* ¡La inversión (&lt;0, línea discontinua) tiene una probabilidad no trivial! ⚠️ Es la famosa señal pre-recesión. La distribución nos dice cuán "normal" es esa señal en perspectiva histórica.<br>* La forma general revela info sobre la dinámica de tipos.</p><p>Una visualización sobre la estructura probabilística de un indicador líder fundamental.</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/grid" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>grid</span></a><br>📂 Código/Repo: <a href="https://t.ly/0RDmK" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/0RDmK</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day12" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day12</span></a> <a href="https://techhub.social/tags/Distributions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Distributions</span></a> <a href="https://techhub.social/tags/datagov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datagov</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/YieldCurve" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>YieldCurve</span></a> <a href="https://techhub.social/tags/InterestRates" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InterestRates</span></a> <a href="https://techhub.social/tags/Economics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Economics</span></a> <a href="https://techhub.social/tags/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finance</span></a> <a href="https://techhub.social/tags/Recession" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Recession</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/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggplot2</span></a></p>
Strypey<p><a href="https://mastodon.nzoss.nz/tags/TIL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TIL</span></a> about <a href="https://mastodon.nzoss.nz/tags/D3JS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>D3JS</span></a>;</p><p>"D3 (or D3.js) is a free, open-source JavaScript library for visualizing data. Its low-level approach built on web standards offers unparalleled flexibility in authoring dynamic, data-driven graphics."</p><p><a href="https://github.com/d3/d3" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/d3/d3</span><span class="invisible"></span></a></p><p><a href="https://mastodon.nzoss.nz/tags/HatTip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HatTip</span></a> to <span class="h-card" translate="no"><a href="https://social.tchncs.de/@AdeptVeritatis" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>AdeptVeritatis</span></a></span> who noticed that's what WeedTree is using for its visualisation.</p><p><a href="https://mastodon.nzoss.nz/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</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 10: ¡Buceando en la Distribución del VIX! 🌊</p><p>En lugar de solo ver la línea del VIX, hoy analizamos su "distribución de probabilidad" por Presidencia de EE.UU. (Clinton -&gt; Trump 2º). ¡La forma lo es todo!</p><p>Usando <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>, estas densidades facetadas nos permiten investigar:<br>* Modos Dominantes: ¿Cuál era el nivel "normal" de VIX (el pico más alto)? ¿Cambió mucho?<br>* Multi-modalidad: ¿Hay evidencia de múltiples estados de volatilidad (picos secundarios) dentro de un mismo mandato? 🤔 <br>* Riesgo de Cola: ¿Qué tan probable era el "pánico" (VIX &gt; 35)? ¡Compara las colas derechas!</p><p>Estos patrones reflejan los distintos regímenes de volatilidad y la percepción del riesgo sistémico. No es solo el nivel, ¡sino la "estructura" de la incertidumbre lo que importa!</p><p>Datos: Yahoo Finance via <a href="https://techhub.social/tags/quantmod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>quantmod</span></a>.<br>📂Código: <a href="https://t.ly/kikdo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/kikdo</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day10" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day10</span></a> <a href="https://techhub.social/tags/Multimodal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Multimodal</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/VIX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VIX</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/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finance</span></a> <a href="https://techhub.social/tags/StockMarket" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>StockMarket</span></a> <a href="https://techhub.social/tags/Economics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Economics</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/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></p>
LavX News<p>Unlocking Data Visualization: How to Leverage ChatGPT's Advanced Data Analysis for Dynamic Charts</p><p>In an era where data-driven decisions are paramount, ChatGPT's Advanced Data Analysis feature emerges as a game-changer for developers and data analysts alike. This article delves into the intricacies...</p><p><a href="https://news.lavx.hu/article/unlocking-data-visualization-how-to-leverage-chatgpt-s-advanced-data-analysis-for-dynamic-charts" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/unlocking</span><span class="invisible">-data-visualization-how-to-leverage-chatgpt-s-advanced-data-analysis-for-dynamic-charts</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/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://mastodon.cloud/tags/AIAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIAnalytics</span></a></p>
Statistics Globe<p>Basic boxplots are often not the best way to visualize your data! They can hide important information, such as the distribution of individual data points or group-specific differences.</p><p>The attached visual showcases several ways to enhance boxplots.</p><p>All of these examples were created using ggplot2 and extensions in R.</p><p>Click this link for detailed 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/statisticsclass" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticsclass</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/advancedanalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>advancedanalytics</span></a> <a href="https://mastodon.social/tags/rprogramminglanguage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rprogramminglanguage</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/package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>package</span></a></p>
@990000@mstdn.social<p><a href="https://mstdn.social/tags/ClemBurke" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClemBurke</span></a> drumming project </p><p><a href="https://clemburkedrummingproject.org/academics/dr-clem-burke/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">clemburkedrummingproject.org/a</span><span class="invisible">cademics/dr-clem-burke/</span></a></p><p><a href="https://mstdn.social/tags/Blondie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Blondie</span></a> <a href="https://mstdn.social/tags/Music" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Music</span></a> <a href="https://mstdn.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://mstdn.social/tags/Charts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Charts</span></a></p>
Möph<p>Können wir bitte endlich 3D Balkendiagramme endgültig abschaffen?<br>Ich meine wir haben 2025 und die Dinger waren NOCH NIE geeignet um irgendetwas zu visualisieren.<br>Habe eben eine Präse mit 20 dieser Diagramme gesehen. Das hier ist noch eins der Besseren.<br>Bei manchen wurden die hinteren Balken durch die vorderen komplett verdeckt.</p><p><a href="https://nerdculture.de/tags/Dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Dataviz</span></a> <a href="https://nerdculture.de/tags/Datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Datavisualization</span></a> <a href="https://nerdculture.de/tags/Datavis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Datavis</span></a> <a href="https://nerdculture.de/tags/Datavisualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Datavisualisation</span></a></p>
Alex Zap<p><a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>technology</span></a><br><a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/engineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>engineering</span></a> <a href="https://mastodon.social/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> <a href="https://mastodon.social/tags/integration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>integration</span></a> <a href="https://mastodon.social/tags/matlab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matlab</span></a> @mathworks<br><a href="https://mastodon.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> </p><p>Automated Conversion of MATLAB Codes &amp; Files to Python SDK/IDE<br>Explore all the Available Ways to Convert Arbitrary MATLAB Codes &amp; Data to Python Environments with $0 Service Fees</p><p><a href="https://mastodon.social/tags/exploremore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>exploremore</span></a> 👇 </p><p><a href="https://medium.com/@alexzap922/automated-conversion-of-matlab-codes-files-to-python-sdk-ide-0793d75450f1?sk=d34160d972668f2e106fb01d84e1f698" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@alexzap922/automat</span><span class="invisible">ed-conversion-of-matlab-codes-files-to-python-sdk-ide-0793d75450f1?sk=d34160d972668f2e106fb01d84e1f698</span></a></p>
Praveen Kumar<p>📊 Master Power BI for FREE!</p><p>Want to create stunning data visualizations and master business intelligence tools? Join our FREE Master Class on Power BI &amp; Advanced SQL </p><p>📅 Date: April 10, 2025<br>🕖 Time: 7:00 PM IST<br>📍 Mode: Online &amp; Classroom</p><p>🎯 Topics Covered:<br>✔ Data Modeling &amp; DAX<br>✔ Resume &amp; Interview Prep<br>✔ Real-world Business Scenarios</p><p>🔗 Register Now! : <a href="https://tr.ee/FIjr4u" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tr.ee/FIjr4u</span><span class="invisible"></span></a></p><p><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/PowerBI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PowerBI</span></a> <a href="https://mastodon.social/tags/BusinessIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BusinessIntelligence</span></a> <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/Analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Analytics</span></a> <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/Analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Analytics</span></a></p>
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>
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 &amp; Jupyter</p>
Simone Lippolis<p>I tried to visualize the lyrics of the first 3 albums of Italian musician <a href="https://mastodon.uno/tags/ghali" class="mention hashtag" rel="tag">#<span>ghali</span></a>. You can find the results here:</p><p><a href="https://ghali.visualize.news/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="">ghali.visualize.news/</span><span class="invisible"></span></a></p><p><a href="https://mastodon.uno/tags/datavisualization" class="mention hashtag" rel="tag">#<span>datavisualization</span></a> <a href="https://mastodon.uno/tags/dataviz" class="mention hashtag" rel="tag">#<span>dataviz</span></a> <a href="https://mastodon.uno/tags/music" class="mention hashtag" rel="tag">#<span>music</span></a></p>
Simone Lippolis<p>I recently revamped my site about <a href="https://mastodon.uno/tags/airpollution" class="mention hashtag" rel="tag">#<span>airpollution</span></a> in <a href="https://mastodon.uno/tags/milan" class="mention hashtag" rel="tag">#<span>milan</span></a>. New APIs, slightly new design, 100% new code with Svelte5 and D3</p><p><a href="https://aria.mia.mi.it" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="">aria.mia.mi.it</span><span class="invisible"></span></a></p><p><a href="https://mastodon.uno/tags/datavisualization" class="mention hashtag" rel="tag">#<span>datavisualization</span></a> <a href="https://mastodon.uno/tags/dataviz" class="mention hashtag" rel="tag">#<span>dataviz</span></a> <a href="https://mastodon.uno/tags/d3" class="mention hashtag" rel="tag">#<span>d3</span></a> <a href="https://mastodon.uno/tags/pollution" class="mention hashtag" rel="tag">#<span>pollution</span></a></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>
東京トレンドニュース速報<p><a href="https://mastodon.social/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a> <a href="https://mastodon.social/tags/euronews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>euronews</span></a> How does EU support for Ukraine stand after three years of&nbsp;war?</p><p>How does EU support for Ukraine stand after three years of war? A new study shows that between 2022 and 2024, support for Ukraine and its displaced people has decreased. Read more: <a href="https://mastodon.social/tags/EuropeInMotion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuropeInMotion</span></a> <a href="https://mastodon.social/tags/Europe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Europe</span></a> <a href="https://mastodon.social/tags/Ukraine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ukraine</span></a> <a href="https://mastodon.social/tags/Russia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Russia</span></a> <a href="https://mastodon.social/tags/war" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>war</span></a> <a href="https://mastodon.social/tags/economy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economy</span></a> <a href="https://mastodon.social/tags/survey" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>survey</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/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> ⬇️ Always stay informed ⬇️ 👉 Follow all the news on 📲 👉 Subscribe ► 👉 Watch our LIVE here: …</p><p><a href="https://www.shibuyaworldnews.online/news-euronews-how-does-eu-support-for-ukraine-stand-after-three-years-of-war/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">shibuyaworldnews.online/news-e</span><span class="invisible">uronews-how-does-eu-support-for-ukraine-stand-after-three-years-of-war/</span></a></p>
SIB Swiss Bioinformatics<p>📣 The programme for the <a href="https://mstdn.science/tags/bc2basel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bc2basel</span></a> tutorials &amp; workshops is out! From <a href="https://mstdn.science/tags/geneexpression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geneexpression</span></a> analysis to <a href="https://mstdn.science/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> or <a href="https://mstdn.science/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a>, beginner or advanced: boost your <a href="https://mstdn.science/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bioinformatics</span></a> skills!</p><p>👉 Register to make sure to secure your spot (limited seats): <a href="https://tinyurl.com/3y8ay2d6" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tinyurl.com/3y8ay2d6</span><span class="invisible"></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>