SFBA.social

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Steven Ponce📊 2025 <a href="https://graphics.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> | day 16 | relationships | negative . 🔗: <a href="https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_16.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_16.html</a> . <a href="https://graphics.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> | <a href="https://graphics.social/tags/r4ds" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#r4ds</a> | <a href="https://graphics.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> | <a href="https://graphics.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

Miki :rstats:<a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> Día 16: Negative Relationship FOUND! 📉🐍🐦🐢🐟¡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 < 2.2e-16). <a href="https://techhub.social/tags/RelationshipsWeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RelationshipsWeek</a> <a href="https://techhub.social/tags/Animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Animals</a>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.Un recordatorio de la importancia de normalizar variables y limpiar datos para ver la señal correcta. ¡Ciencia en acción!🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/ggpubr" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggpubr</a> | Data: AnAge | Theme: <a href="https://techhub.social/tags/theme_week3_animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#theme_week3_animals</a> 📂 Código/Viz: <a href="https://t.ly/ouLN0" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://t.ly/ouLN0</a><a href="https://techhub.social/tags/Day16" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Day16</a> <a href="https://techhub.social/tags/Negative" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Negative</a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://techhub.social/tags/Ecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ecology</a> <a href="https://techhub.social/tags/LifeHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LifeHistory</a> <a href="https://techhub.social/tags/Metabolism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Metabolism</a> <a href="https://techhub.social/tags/Longevity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Longevity</a> <a href="https://techhub.social/tags/AnAge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AnAge</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> <a href="https://techhub.social/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Science</a>

aRtsy_packageToday's artwork generated with <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> and <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>:

Nicola RennieThe recording of my PyData Global talk about data visualisation with Plotnine in <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> is now available! 🐍Give it a watch if you're interested in:📊 customising plotnine plots 📈 combining with matplotlib functions ✍️ adding custom annotations with HighlightText(or if you're an <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> user wondering about Plotnine vs <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>)Link: <a href="https://www.youtube.com/watch?v=NBGJuaBF2rc" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=NBGJuaBF2rc</a><a href="https://fosstodon.org/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://fosstodon.org/tags/Plotnine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Plotnine</a>

Steven Ponce📊 2025 <a href="https://graphics.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> | day 15 | relationships | complicated . 🔗: <a href="https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_15html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_15html</a> . <a href="https://graphics.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> | <a href="https://graphics.social/tags/r4ds" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#r4ds</a> | <a href="https://graphics.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> | <a href="https://graphics.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

Miki :rstats:<a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> Día 15: Complicated Relationships! 🐧↔️🐧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">#RelationshipsWeek</a> <a href="https://techhub.social/tags/Animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Animals</a>La matriz lo enseña todo: * Diagonal: Distribución de cada medida (densidad). * Abajo: Scatter plots de cada par de medidas (coloreado por Especie). * Arriba: ¡La correlación $ entre ellas!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!🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/GGally" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GGally</a> | Data: <a href="https://techhub.social/tags/palmerpenguins" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#palmerpenguins</a> | Theme: <a href="https://techhub.social/tags/theme_week3_animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#theme_week3_animals</a> 📂 Código/Viz: <a href="https://t.ly/GATJi" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://t.ly/GATJi</a><a href="https://techhub.social/tags/Day15" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Day15</a> <a href="https://techhub.social/tags/Complicated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Complicated</a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://techhub.social/tags/Penguins" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Penguins</a> <a href="https://techhub.social/tags/Ecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ecology</a> <a href="https://techhub.social/tags/Morphometrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Morphometrics</a> <a href="https://techhub.social/tags/Multivariate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Multivariate</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a>

Nicola RennieGetting back into some generative art again with this rather spiky looking system 🎨<a href="https://fosstodon.org/tags/Rtistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Rtistry</a> <a href="https://fosstodon.org/tags/GenerativeArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenerativeArt</a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> <a href="https://fosstodon.org/tags/GenArtClub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenArtClub</a> <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

boB Rudis 🇺🇦 🇬🇱Got nerd-sniped on the other socmed site by someone challenging the <a href="https://mastodon.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> community to recreate this FT chart in <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> Was nice to do something fun with this terrible data.

safest_integerMapping -diff(y) to linewidth = "light on the upstroke, heavy on the downstroke" = calligraphy``` library(tidyverse) library(pracma) tibble(s = seq(pi, -pi, len = 5000), x = fresnelS(s), y = fresnelC(s), wd = c(0, -diff(y))) |> ggplot() + geom_path(aes(x=x,y=y, lwd=wd), show.legend=FALSE) + scale_linewidth_continuous(range=c(.1,2.5)) + theme_void() ```<a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://mastodon.social/tags/generativeart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#generativeart</a>

Miki :rstats:<a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</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">#RelationshipsWeek</a>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.Coloreamos por Dieta: 🥩Carnívoro(verde) 🌿Herbívoro(ocre) ❓Omnívoro(azul). 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? 🤔¡Una visualización para explorar la alometría y la diversidad ecológica!🛠️ <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> y mi nuevo tema <a href="https://techhub.social/tags/theme_week3_animals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#theme_week3_animals</a>. 📂 Código/Viz: <a href="https://t.ly/ehPiu" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://t.ly/ehPiu</a><a href="https://techhub.social/tags/Day13" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Day13</a> <a href="https://techhub.social/tags/Clusters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Clusters</a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://techhub.social/tags/Ecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ecology</a> <a href="https://techhub.social/tags/Evolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Evolution</a> <a href="https://techhub.social/tags/LifeHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LifeHistory</a> <a href="https://techhub.social/tags/AnimalTraits" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AnimalTraits</a> <a href="https://techhub.social/tags/Biodiversity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Biodiversity</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/Kaggle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Kaggle</a>

Steven Ponce📊 2025 <a href="https://graphics.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> | day 12 | distributions | data.gov . 🔗: <a href="https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_12html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_12html</a> . <a href="https://graphics.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> | <a href="https://graphics.social/tags/r4ds" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#r4ds</a> | <a href="https://graphics.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> | <a href="https://graphics.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

Miki :rstats:<a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> Día 12: Gov Data Day! 🏛️ Explorando la distribución del spread 10Y-2Y del Tesoro USA (datos de FRED desde 1976).Este histograma/densidad va más allá del valor diario: muestra la *probabilidad* histórica de cada nivel del spread. ¡Clave para entender expectativas económicas!Puntos clave: * Modo principal > 0 (curva normal es lo más común). * ¡La inversión (<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. * La forma general revela info sobre la dinámica de tipos.Una visualización sobre la estructura probabilística de un indicador líder fundamental.🛠️ <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/quantmod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#quantmod</a> <a href="https://techhub.social/tags/grid" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#grid</a> 📂 Código/Repo: <a href="https://t.ly/0RDmK" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://t.ly/0RDmK</a><a href="https://techhub.social/tags/Day12" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Day12</a> <a href="https://techhub.social/tags/Distributions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Distributions</a> <a href="https://techhub.social/tags/datagov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#datagov</a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://techhub.social/tags/YieldCurve" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#YieldCurve</a> <a href="https://techhub.social/tags/InterestRates" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InterestRates</a> <a href="https://techhub.social/tags/Economics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Economics</a> <a href="https://techhub.social/tags/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Finance</a> <a href="https://techhub.social/tags/Recession" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Recession</a> <a href="https://techhub.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

Nicola RennieA long-term project to bring long-term temperature data to life! 📊 🌦️ Data from the Met Office on average temperatures 💻 Designed with {ggplot2} in <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> 🧶 Crocheted with yarn<a href="https://fosstodon.org/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

Steven Ponce📊 2025 <a href="https://graphics.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> | day 11 | distributions | stripes . 🔗: <a href="https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_11.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_11.html</a> . <a href="https://graphics.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> | <a href="https://graphics.social/tags/r4ds" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#r4ds</a> | <a href="https://graphics.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> | <a href="https://graphics.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

Nicola RennieThere's now an interactive version of this chart where you can select a country, and see how it compares - thanks to Yan Holtz for this suggestion! 📊 Orientation of the chart changed to make it fit on a screen 🛠️ Built entirely in R with {ggiraph} and {htmltools} 🗒️ Still working on some styling and how easy it is to select a point ✍️ Will probably end up as a blog post soon!Check it out here: <a href="https://nrennie.rbind.io/data-viz-projects/#income-inequality" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://nrennie.rbind.io/data-viz-projects/#income-inequality</a><a href="https://fosstodon.org/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> <a href="https://fosstodon.org/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

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