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Miki :rstats:

#30DayChartChallenge Día 13: Clusters Animales! 🐾 Explorando la relación Masa Corporal vs Longevidad Máxima. #RelationshipsWeek

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!

🛠️ #rstats #ggplot2 y mi nuevo tema #theme_week3_animals.
📂 Código/Viz: t.ly/ehPiu

Scatter plot log-log que muestra la relación entre la Longevidad Máxima (años, eje Y) y la Masa Corporal (kg, eje X) para aproximadamente 170 especies animales. Los puntos están coloreados según la dieta: verde para Carnívoro, naranja/ocre para Herbívoro y azul apagado para Omnívoro. Se observa una tendencia general positiva. Los puntos de diferentes dietas muestran cierta agrupación y solapamiento. El gráfico utiliza un tema con fondo beige claro y textos en marrón. Título: "Relación Masa Corporal vs. Longevidad en Animales". Fuente: Kaggle dataset by Sourav Banerjee.
#Day13#Clusters#dataviz
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Dendrobatus Azureus

Want to play with Kubernetes? Gyptazy shows a fun way to do it.

Excerpt:

Talos Linux is an operating system built specifically for Kubernetes, focusing on security, immutability, and minimalism, designed to work across a variety of environments, including cloud platforms, bare metal servers, and virtualization platforms, providing a versatile solution for modern infrastructure needs.

gyptazy.com/talos-linux-howto-

dark-themed webpage shows a profile for "gyptazy," featuring a cartoon penguin illustration. A sidebar contains links for "About," "Blog," "Talks," "Projects," "Skills," and "Contact." The main content area displays the title "Why Talos Linux?" followed by a paragraph describing the benefits of using Talos Linux for Kubernetes clusters, highlighting its security, immutability, and ease of automation. Social media icons are visible below the profile picture. "GPG" and "Blog" icons are at the bottom of the page.
#bash#csh#ksh
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Daniel Fischer

#Jet reorientation in central #galaxies of #clusters and #groups - insights from #VLBA and #Chandra data: arxiv.org/abs/2312.02283 -> 'Death Star' #BlackHoles in Action: chandra.harvard.edu/photo/2024 -> chandra.si.edu/press/24_releas -> nasa.gov/image-article/spotted

arXiv.orgJet reorientation in central galaxies of clusters and groups: insights from VLBA and Chandra dataRecent observations of galaxy clusters and groups with misalignments between their central AGN jets and X-ray cavities, or with multiple misaligned cavities, have raised concerns about the jet - bubble connection in cooling cores, and the processes responsible for jet realignment. To investigate the frequency and causes of such misalignments, we construct a sample of 16 cool core galaxy clusters and groups. Using VLBA radio data we measure the parsec-scale position angle of the jets, and compare it with the position angle of the X-ray cavities detected in Chandra data. Using the overall sample and selected subsets, we consistently find that there is a 30% - 38% chance to find a misalignment larger than $ΔΨ= 45^{\circ}$ when observing a cluster/group with a detected jet and at least one cavity. We determine that projection may account for an apparently large $ΔΨ$ only in a fraction of objects ($\sim$35%), and given that gas dynamical disturbances (as sloshing) are found in both aligned and misaligned systems, we exclude environmental perturbation as the main driver of cavity - jet misalignment. Moreover, we find that large misalignments (up to $\sim90^{\circ}$) are favored over smaller ones ($45^{\circ}\leqΔΨ\leq70^{\circ}$), and that the change in jet direction can occur on timescales between one and a few tens of Myr. We conclude that misalignments are more likely related to actual reorientation of the jet axis, and we discuss several engine-based mechanisms that may cause these dramatic changes.
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