The World Health Organization (WHO) Global Health Observatory collected data on alcohol consumption across the world. This descriptive analysis explores global alcohol consumption trends using data from the World Health Organization (WHO) Global Health Observatory. The dataset measures per capita alcohol consumption in liters of pure alcohol across countries worldwide, spanning from 2001 through 2021. Over this 21-year window, the world experienced economic booms, recessions, shifting public health policies, and most significantly, the COVID-19 pandemic. The data has been structured and visualized to provide general descriptive analytics of alcohol consumption across the world and across multiple decades.

A brief summary of internal and internation migration figures for London based on ONS internal migration, Census 2021 foreign born usual residents and ONS internation migration figures. The main purpose of this resport was to demonstrate the use of flow diagrams (Chord and Sankey charts) as well as data transformations on unusually formated data files.

I set out to see how reliant certain teams were on calling pass plays in 2024. Unsurprisingly, CIN up at the top and PHI all the way at the bottom. Made with RStudio

EPA Per play ion 2024, Who was most efficient? Made with RStudio

Se intentará pasar a github lo de Rmarkdown

This analysis explores the application of Linear Mixed Models (LMM) to hierarchical education data from the Junior School Project (JSP) dataset. The study compares two estimation approaches for variance components: Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). Using both full sample and reduced (small sample) data, the analysis demonstrates how ML and REML behave under different sample sizes, with particular emphasis on the estimation of between-school variance and the Intraclass Correlation Coefficient (ICC). Results show that while ML and REML produce nearly identical estimates in large samples, ML tends to underestimate variance components in smaller samples. REML provides more stable and theoretically less biased estimates, especially when the number of clusters is limited.