rclairer/Sebastes_ruberrimus_2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
MarkdownRSQL
Technical Skills
Data AnalysisData CleaningData ProcessingData VisualizationDatabase ManagementR Programming
jchampag
PROFILE
Jchampag
Worked on the rclairer/Sebastes_ruberrimus_2025 repository to deliver updated commercial length and age data for the 2025 Sebastes ruberrimus stock assessment, aligning datasets with the Stock Synthesis (SS) model. Enhanced reporting by adding a commercial length composition bridging section to Report.sso and populating bridging parameters to support downstream analysis. Utilized R, SQL, and Markdown to refine data pull workflows, update CSV data and plots, and improve documentation. Focused on data analysis, cleaning, and visualization to ensure data freshness and reproducibility. No bugs were fixed, but the work emphasized robust data processing and transparent, reproducible reporting for future assessments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
138,419
Activity Months1
Your Network
131 peopleSame Organization
@uw.edu126
Work History
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary focused on delivering updated data and enhanced reporting for Sebastes ruberrimus 2025 stock assessment. Key data updates included commercial length and age data aligned with the Stock Synthesis (SS) model, with new data pulls and refined datasets. Reporting capabilities were expanded with a new commercial length composition bridging section in Report.sso, and bridging parameters were populated to support accurate downstream reporting. No major bugs fixed this month; however, data pipelines and documentation were improved to increase reliability and reproducibility.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary focused on delivering updated data and enhanced reporting for Sebastes ruberrimus 2025 stock assessment. Key data updates included commercial length and age data aligned with the Stock Synthesis (SS) model, with new data pulls and refined datasets. Reporting capabilities were expanded with a new commercial length composition bridging section in Report.sso, and bridging parameters were populated to support accurate downstream reporting. No major bugs fixed this month; however, data pipelines and documentation were improved to increase reliability and reproducibility.
April 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownRSQL
Technical Skills
Data AnalysisData CleaningData ProcessingData VisualizationDatabase ManagementR ProgrammingStatistical AnalysisStatistical ModelingStock Synthesis (SS)
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