Exploring how much time astronauts spend in space, using regression and visualizations with the CORGIS Astronauts dataset.

The OECD publishes yearly analytical house price indicators for its members and partner countries: an index of rent prices, an index of house prices, and two affordability ratios — price-to-income and price-to-rent. The OECD gives them as indices with 2015 = 100; here every value is turned into a plain percentage change since 2015 — “+13%” means rents are 13% higher than in 2015. They show how much each market moved, not the level of rents in euros. This vignette pulls the series straight from the OECD data API and builds the same kind of visualisations as the EU Salary Race: a ranked “bar chart race” and a shareable GIF — with Greece highlighted in red against the rest of Europe in gray. It starts with a look at Greece on its own, since rents and house prices there have taken very different paths.

Guía_3_de_Estudio_Últimos_Tiempos

In this practical session, we continue working with the GSE161731 blood RNA-seq dataset from Lab 6 to investigate a biological question: which genes are switched on or off in the blood of COVID-19 patients compared with healthy volunteers? We will first use principal component analysis (PCA) to explore similarities and differences between samples and assess whether disease status is a major source of variation in the data. We will then use DESeq2 to identify genes that are differentially expressed between COVID-19 and healthy samples, account for multiple testing across thousands of genes, and visualise the results using a volcano plot, individual gene-expression plots, and a heatmap.