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
Ryan Crumley enhanced the lter/lterwg-caged repository by developing analytics features for beta diversity and dispersion analysis, focusing on cross-dataset comparability and visualization fidelity. Using R and data preprocessing techniques, Ryan expanded figure scripts and workflows to support new substrate-type visualizations, gamma and consumer richness plots, and latitude-based analyses with integrated metadata. He also built utilities for extracting and preprocessing taxa, including scripts to define exclusion groups and standardize coral categories. Addressing data quality, Ryan fixed a critical bug in beta diversity calculations by ensuring absolute differences, which clarified interpretation and improved reliability for scientific stakeholders using the dataset.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
492
Activity Months1
Your Network
115 people
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
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