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#datavisualization

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Vis Lab @ Khoury, Northeastern<p>We're proud to announce that <span class="h-card" translate="no"><a href="https://datavis.social/@janeadams" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>janeadams</span></a></span> , Melanie Tory, <span class="h-card" translate="no"><a href="https://bird.makeup/users/michelle_borkin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>michelle_borkin</span></a></span> &amp; collaborators from The Jackson Laboratory have won an honorable mention for best paper at <span class="h-card" translate="no"><a href="https://vis.social/@EuroVis" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>EuroVis</span></a></span> for "Gridded Visualization of Statistical Trees for High-Dimensional Multipartite Data in Systems Genetics"! 🏆 <a href="https://vis.social/tags/Genetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Genetics</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/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a></p>
Mycotropic<p>Now this is a useful graphic!!!<br><a href="https://beige.party/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 16: Negative Relationship FOUND! 📉🐍🐦🐢🐟</p><p>¡Lo conseguimos! Tras ajustar por masa corporal, la relación entre Tasa Metabólica Específica (W/kg) y Longevidad Máxima (años) en ~530 especies animales (AnAge DB, outliers quitados) SÍ es negativa (Pearson ρ ≈ -0.42, p &lt; 2.2e-16). <a href="https://techhub.social/tags/RelationshipsWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RelationshipsWeek</span></a> <a href="https://techhub.social/tags/Animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Animals</span></a></p><p>El gráfico log-log muestra la tendencia: mayor intensidad metabólica por kilo se asocia con vidas más cortas. ¡Apoya la idea del "ritmo de vida"! 🔥➡️⏳ Colores por Clase Taxonómica.</p><p>Un recordatorio de la importancia de normalizar variables y limpiar datos para ver la señal correcta. ¡Ciencia en acción!</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/ggpubr" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ggpubr</span></a> | Data: AnAge | Theme: <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/ouLN0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/ouLN0</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day16" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day16</span></a> <a href="https://techhub.social/tags/Negative" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Negative</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/LifeHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LifeHistory</span></a> <a href="https://techhub.social/tags/Metabolism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Metabolism</span></a> <a href="https://techhub.social/tags/Longevity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Longevity</span></a> <a href="https://techhub.social/tags/AnAge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AnAge</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>
Ned Hairston :hehim: :theythem:<p>CEO-to-worker pay ratios have increased from 20:1 to 400:1 since 1965.</p><p>Sources: <br>Economic Policy Institute, "CEO compensation has grown 1460% since 1978 (2023),<br>Federal Reserve, Survey of Consumer Finances (2022).</p><p><a href="https://www.epi.org/research/ceo-pay/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">epi.org/research/ceo-pay/</span><span class="invisible"></span></a><br><a href="https://www.federalreserve.gov/econres/scfindex.htm" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">federalreserve.gov/econres/scf</span><span class="invisible">index.htm</span></a></p><p><a href="https://tech.lgbt/tags/WealthGapFacts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WealthGapFacts</span></a> <a href="https://tech.lgbt/tags/EconomicReality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EconomicReality</span></a> <a href="https://tech.lgbt/tags/WageInequality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WageInequality</span></a> <a href="https://tech.lgbt/tags/IncomeGap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IncomeGap</span></a> <a href="https://tech.lgbt/tags/EconomyExplained" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EconomyExplained</span></a> <a href="https://tech.lgbt/tags/PersonalFinanceEducation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PersonalFinanceEducation</span></a> <a href="https://tech.lgbt/tags/FinancialLiteracy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FinancialLiteracy</span></a> <a href="https://tech.lgbt/tags/MoneyMatters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MoneyMatters</span></a> <a href="https://tech.lgbt/tags/EconomicHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EconomicHistory</span></a> <a href="https://tech.lgbt/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://tech.lgbt/tags/LateStageCapitalism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LateStageCapitalism</span></a> <a href="https://tech.lgbt/tags/EatTheRich" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EatTheRich</span></a> <a href="https://tech.lgbt/tags/ClassConsciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClassConsciousness</span></a> <a href="https://tech.lgbt/tags/WorkerWorth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WorkerWorth</span></a> <a href="https://tech.lgbt/tags/TheRealEconomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TheRealEconomics</span></a> <a href="https://tech.lgbt/tags/AltText" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AltText</span></a> <a href="https://tech.lgbt/tags/AltText4You" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AltText4You</span></a></p>
FesteringRuin<p><a href="https://sfba.social/tags/WealthGapFacts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WealthGapFacts</span></a> <a href="https://sfba.social/tags/economicreality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economicreality</span></a> <a href="https://sfba.social/tags/wageinequality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>wageinequality</span></a> <a href="https://sfba.social/tags/incomegap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>incomegap</span></a> <a href="https://sfba.social/tags/economyexplained" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economyexplained</span></a> <a href="https://sfba.social/tags/personalfinanceeducation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>personalfinanceeducation</span></a> <a href="https://sfba.social/tags/financialliteracy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>financialliteracy</span></a> <a href="https://sfba.social/tags/moneymatters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>moneymatters</span></a> <a href="https://sfba.social/tags/economichistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economichistory</span></a> <a href="https://sfba.social/tags/datavisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datavisualization</span></a> <a href="https://sfba.social/tags/latestagecapitalism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>latestagecapitalism</span></a> <a href="https://sfba.social/tags/eattherich" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>eattherich</span></a> <a href="https://sfba.social/tags/classconsciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classconsciousness</span></a> <a href="https://sfba.social/tags/workerworth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>workerworth</span></a> <a href="https://sfba.social/tags/therealeconomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>therealeconomics</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 15: Complicated Relationships! 🐧↔️🐧</p><p>Hoy, una matriz de scatter plots con ggpairs para explorar las relaciones entre medidas corporales (Long. Pico, Long. Aleta, Masa Corporal) en los pingüinos de Palmer. ¡Perfecto para el prompt "Complicated"! <a href="https://techhub.social/tags/RelationshipsWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RelationshipsWeek</span></a> <a href="https://techhub.social/tags/Animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Animals</span></a></p><p>La matriz lo enseña todo:<br>* Diagonal: Distribución de cada medida (densidad).<br>* Abajo: Scatter plots de cada par de medidas (coloreado por Especie).<br>* Arriba: ¡La correlación $ entre ellas!</p><p>Se ven las fuertes relaciones positivas (más grande = aleta más larga) y cómo las especies (Adelie, Chinstrap, Gentoo) forman clusters distintos en este espacio de rasgos. ¡Una forma densa de ver muchas relaciones a la vez!</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/GGally" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GGally</span></a> | Data: <a href="https://techhub.social/tags/palmerpenguins" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>palmerpenguins</span></a> | Theme: <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/GATJi" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t.ly/GATJi</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/Day15" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Day15</span></a> <a href="https://techhub.social/tags/Complicated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Complicated</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/Penguins" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Penguins</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/Morphometrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Morphometrics</span></a> <a href="https://techhub.social/tags/Multivariate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Multivariate</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></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 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>
Europe Says<p><a href="https://www.europesays.com/1989544/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1989544/</span><span class="invisible"></span></a> The Future of Visualization in Decision-Making <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/DataDrivenInsights" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataDrivenInsights</span></a> <a href="https://pubeurope.com/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DecisionMaking</span></a> <a href="https://pubeurope.com/tags/FutureOfData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FutureOfData</span></a> <a href="https://pubeurope.com/tags/VisualAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VisualAnalytics</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>
Europe Says<p><a href="https://www.europesays.com/1983228/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1983228/</span><span class="invisible"></span></a> R.J. Andrews dissects the art of data visualization <a href="https://pubeurope.com/tags/book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>book</span></a> <a href="https://pubeurope.com/tags/Charts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Charts</span></a> <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/DavidRumseyMapCenter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DavidRumseyMapCenter</span></a> <a href="https://pubeurope.com/tags/EvanThornberry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EvanThornberry</span></a> <a href="https://pubeurope.com/tags/Graphics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graphics</span></a> <a href="https://pubeurope.com/tags/InfoWeTrust" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InfoWeTrust</span></a> <a href="https://pubeurope.com/tags/InformationGraphics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InformationGraphics</span></a> <a href="https://pubeurope.com/tags/RjAndrews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RjAndrews</span></a> <a href="https://pubeurope.com/tags/stanford" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stanford</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>
Europe Says<p><a href="https://www.europesays.com/1979628/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1979628/</span><span class="invisible"></span></a> Plotly Announces Dash Enterprise 5.7: Building Smarter, <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/DashEnterprise" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DashEnterprise</span></a> <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/DataApplication" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataApplication</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/databricks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>databricks</span></a> <a href="https://pubeurope.com/tags/Plotly" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Plotly</span></a> <a href="https://pubeurope.com/tags/PlotlyTechnologies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PlotlyTechnologies</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>
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>
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>
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>
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