
Developed a suite of exploratory analytics and visualization features for the lter/lterwg-caged repository, focusing on ecological data analysis and data hygiene improvements. Leveraged R and SQL to implement repeatable quality assurance processes, enhance figure interpretability, and ensure datasets reflected the latest available information. Delivered new testing script scaffolding, exploratory figure code, and a range of visualizations including exclosure duration plots, ecotype boxplots, and climate zone comparisons. Enhanced gamma diversity figures and improved labeling for clarity. The work emphasized robust data wrangling and cleaning, supporting more efficient insight generation and decision-making for ecological research and data-driven exploration.
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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