Luisa developed a robust data preparation and analysis script for the lterwg-caged repository, focusing on beta dispersion across caged and uncaged treatments. Using R and the dplyr package, she engineered a workflow that processes local data files, filters missing values, and aggregates results into a single data frame for downstream analysis. Her approach included refactoring column selection logic to handle absent distance.from columns, ensuring the pipeline remained resilient to data inconsistencies. By consolidating data cleaning and wrangling steps, Luisa improved reproducibility and enabled reliable cross-treatment comparisons, demonstrating a thoughtful application of data analysis and scripting skills within a research context.