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#dataviz

38 posts36 participants4 posts today
Public
Sreedev Krishnakumar

Harvard and Trump are in a standoff—after rejecting his agenda, the university faces frozen grants and tax threats. The clash may reach a SCOTUS full of Ivy grads, unlike Trump 2.0, which has the lowest share of people from elite institutions in comparison to US cabinets in recent history. Today's Number Theory at the Ivy League imprint on US judiciary and administrations of the recent past.

Read this story on HT app: hindustantimes.com/editors-pic

The Ivy League imprint on US judiciary, cabinet By Sreedev Krishnakumar Donald Trump and America’s richest and perhaps most prestigious university are fighting right now. After Harvard University refused to accept the Trump administration’s demands, essentially an accommodation of Trump’s political agenda in Harvard’s policies, it has seen its grants being frozen and faced threats that include the withdrawal of its tax-exempt status and a ban on taking foreign students. The culmination of this battle will likely take place in the US Supreme Court given the different interpretations each party has on the constitutional validity of Trump’s actions. As and when this happens, the justices in the US Supreme Court will have to deal with more than just a dispassionate question of law. This is because an overwhelming majority of the US Supreme Court justices belong to just two elite universities (Harvard and Yale) unlike Trump’s cabinet, which has the lowest share of people from elite institutions in the recent past. )The full text is too long to be posted here. Please click on the link in the post to read it from the free HT app.)
#DataViz#Harvard#Trump
Public
Michael Friendly

#dataviz #rstats
A new release, v. 1.7.4 of my {heplots} pkg just dropped to CRAN. It features a new utility `noteworthy(x,y,method)` to identify
unusual points in a 2D plot, by a variety of criteria. Working on a `stat_noteworthy()` to bring this to #ggplot,
labeling those points.
friendly.github.io/heplots/

friendly.github.ioVisualizing Hypothesis Tests in Multivariate Linear ModelsProvides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models such as robust methods and homogeneity of variance covariance matrices. The related candisc package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Public
Nicola Rennie

When I decided to visualise the same dataset on income inequality for all 30 prompts of the #30DayChartChallenge, I wasn't sure how I'd manage to make the prompt of "Birds" fit with that data... 🐦 But I managed to shoehorn some data about birds in there!

The result? A "correlation is not causation" / "dual axes are bad" plot in the style of Spurious Correlations made with #RStats!

Dual axis line chart showing increasing wealth inequality and decreasing numbers of wild birds
#Day17#DataViz
Public
Miki :rstats:

#30DayChartChallenge 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). #RelationshipsWeek #Animals

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!

🛠 #rstats #ggplot2 #ggpubr | Data: AnAge | Theme: #theme_week3_animals
📂 Código/Viz: t.ly/ouLN0

Scatter plot log-log mostrando la relación entre Longevidad Máxima (años, eje Y) y Tasa Metabólica Basal Específica (Watts/kg, eje X) para 534 especies animales (outliers eliminados). Los puntos están coloreados por Clase taxonómica (Mammalia, Aves, Reptilia, Amphibia). Una línea de regresión lineal de color marrón oscuro con intervalo de confianza gris muestra una clara tendencia negativa. El coeficiente de correlación de Pearson (rho = -0.42, p < 2.2e-16) se muestra en la esquina superior derecha. El gráfico utiliza un tema con fondo beige claro y textos en marrón. Fuente: AnAge Database.
#Day16#Negative#dataviz
Public
Nicola Rennie

The recording of my PyData Global talk about data visualisation with Plotnine in #Python 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 #RStats user wondering about Plotnine vs #ggplot2)

Link: youtube.com/watch?v=NBGJuaBF2r

YouTubeNicola Rennie - Practical Techniques for Polished Visuals with Plotnine | PyData Global 2024By PyData
#DataViz#Plotnine
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