
In May 2025, Lgenes developed a suite of exploratory analytics and visualization features for the lter/lterwg-caged repository, focusing on ecological data analysis and data hygiene. Their work included building testing script scaffolding, enhancing data cleaning routines, and delivering interpretable visualizations such as exclosure duration plots and ecotype boxplots with flexible axis scaling. Using R and SQL, Lgenes updated data files to reflect the latest batch, improved figure labeling, and expanded exploration of latitude, climate zones, and consumer richness. The approach emphasized repeatable quality assurance and up-to-date datasets, supporting more robust insight generation and decision-making for ecological research teams.

May 2025: Delivered a focused set of exploratory analytics, visualization, and data hygiene enhancements for lter/lterwg-caged. The work emphasized repeatable QA, interpretable visuals, and up-to-date data to accelerate insight generation and decision support.
May 2025: Delivered a focused set of exploratory analytics, visualization, and data hygiene enhancements for lter/lterwg-caged. The work emphasized repeatable QA, interpretable visuals, and up-to-date data to accelerate insight generation and decision support.
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