lter/lterwg-caged
May 2025 – Jun 2026
4 Months active
Languages Used
R
Technical Skills
Data AnalysisData CleaningData HarmonizationData MergingData VisualizationData Wrangling
Marc Hensel
PROFILE
Marc Hensel
Worked on the lter/lterwg-caged repository to develop and refine ecological data analysis workflows, focusing on robust statistical modeling and data visualization. Over four months, delivered features such as modular data processing pipelines, habitat-level modeling, and enhanced quality control by separating exploratory scripts from production code. Used R and R scripting extensively for data wrangling, statistical analysis, and figure generation, emphasizing reproducibility and maintainability. Addressed data integrity through improved file handling and export stability, while supporting research teams with scalable analytics and clearer reporting. The work established a foundation for automated quality control and streamlined onboarding for future ecological data projects.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
41Total
Bugs
4
Commits
41
Features
10
Lines of code
8,271
Activity Months4
Your Network
19 peopleSame Organization
@vims.edu3
Shared Repositories
16
Work History
June 2026
16 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for lter/lterwg-caged: Delivered substantial analytics enhancements and habitat-level modeling support, with ongoing paper-oriented analyses and improved data workflows. Emphasis on business value: robust ecological insights, scalable analytics, and clearer reporting for research teams.
16 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for lter/lterwg-caged: Delivered substantial analytics enhancements and habitat-level modeling support, with ongoing paper-oriented analyses and improved data workflows. Emphasis on business value: robust ecological insights, scalable analytics, and clearer reporting for research teams.
June 2026
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for the lter/lterwg-caged repository focused on delivering a cleaner, more maintainable data workflow. Delivered a targeted refactor of the Data Processing Pipeline and separation of quality control (QC) checks into a dedicated exploratory scripts folder. This reduces production risk by decoupling QC from the main pipeline and lays groundwork for easier testing and future automation. No major bugs reported this month; changes emphasize stability, reproducibility, and faster onboarding for analysts.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for the lter/lterwg-caged repository focused on delivering a cleaner, more maintainable data workflow. Delivered a targeted refactor of the Data Processing Pipeline and separation of quality control (QC) checks into a dedicated exploratory scripts folder. This reduces production risk by decoupling QC from the main pipeline and lays groundwork for easier testing and future automation. No major bugs reported this month; changes emphasize stability, reproducibility, and faster onboarding for analysts.
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for lter/lterwg-caged: Delivered a stability warning for local export of BaeDisp.df and cleaned up the script by removing an unnecessary commented line, improving reliability and maintainability of data exports.
1 Commits
Jun 1, 2025June 2025 monthly summary for lter/lterwg-caged: Delivered a stability warning for local export of BaeDisp.df and cleaned up the script by removing an unnecessary commented line, improving reliability and maintainability of data exports.
June 2025
May 2025
23 Commits • 7 Features
May 1, 2025May 2025 performance for lter/lterwg-caged focused on stabilizing the analysis workflow, delivering initial modeling scaffolds, expanding modeling approaches, and strengthening data integrity and accessibility. Key outcomes include corrected data file naming (05b_ to match actual data), preserved treat.disturbance handling for potential restoration, exploration of latitude and habitat modeling, integration of new var_ variables with related stats and figures, and improvements to dataframe QC. These efforts improved reproducibility, reduced onboarding friction, and set the stage for faster, more reliable insights in future sprints. Technologies demonstrated include R-based data wrangling, modeling workflows, plotting, and figure scaffolding, as well as script tidying and data quality assurance.
May 2025
23 Commits • 7 Features
May 1, 2025May 2025 performance for lter/lterwg-caged focused on stabilizing the analysis workflow, delivering initial modeling scaffolds, expanding modeling approaches, and strengthening data integrity and accessibility. Key outcomes include corrected data file naming (05b_ to match actual data), preserved treat.disturbance handling for potential restoration, exploration of latitude and habitat modeling, integration of new var_ variables with related stats and figures, and improvements to dataframe QC. These efforts improved reproducibility, reduced onboarding friction, and set the stage for faster, more reliable insights in future sprints. Technologies demonstrated include R-based data wrangling, modeling workflows, plotting, and figure scaffolding, as well as script tidying and data quality assurance.
Activity
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Quality Metrics
Correctness81.8%
Maintainability82.2%
Architecture78.6%
Performance73.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
R
Technical Skills
Data AnalysisData CleaningData HarmonizationData MergingData VisualizationData WranglingEcological Data AnalysisExploratory Data AnalysisExploratory ScriptingRR ProgrammingR ScriptingR programmingScriptingStatistical Analysis
Repositories Contributed To
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