lter/lterwg-caged
May 2025 – May 2025
1 Month active
Languages Used
R
Technical Skills
Data AnalysisData CleaningData PreprocessingData VisualizationExploratory Data AnalysisR
ryancr29
PROFILE
Ryancr29
Worked on the lter/lterwg-caged repository to deliver analytics enhancements focused on beta diversity and dispersion analysis. Developed new R scripts and workflows that expanded figure generation, integrated metadata, and enabled substrate-type visualizations, gamma and consumer richness plots, and latitude-based analyses. Built utilities for extracting unique taxa, preprocessing data, and standardizing exclusion criteria across studies, including logic to consolidate bleached coral categories. Addressed a critical bug by ensuring absolute differences in beta diversity calculations, improving interpretability. Leveraged skills in R programming, data cleaning, and data visualization to improve cross-dataset comparability and support more reliable scientific insights for stakeholders.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
492
Activity Months1
Your Network
126 peopleShared Repositories
13
Work History
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 performance summary for repository lter/lterwg-caged. Delivered major analytics enhancements for beta diversity and dispersion analysis, added data-prep utilities, and fixed a critical interpretation bug. These changes improve cross-dataset comparability, visualization fidelity, and data quality, enabling faster, more reliable scientific insights for stakeholders.
8 Commits • 2 Features
May 1, 2025May 2025 performance summary for repository lter/lterwg-caged. Delivered major analytics enhancements for beta diversity and dispersion analysis, added data-prep utilities, and fixed a critical interpretation bug. These changes improve cross-dataset comparability, visualization fidelity, and data quality, enabling faster, more reliable scientific insights for stakeholders.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability82.6%
Architecture67.4%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
Data AnalysisData CleaningData PreprocessingData VisualizationExploratory Data AnalysisRR ProgrammingR Scripting
Repositories Contributed To
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