iramler/slu_score_module_development
Feb 2025 – Jun 2025
2 Months active
Languages Used
QuartoMarkdownR
Technical Skills
DocumentationData AnalysisData VisualizationQuantile RegressionRR Markdown
iramler
PROFILE
Iramler
Ivan Ramler contributed to the iramler/slu_score_module_development repository by overhauling the Powerlifting Data Analysis Module, focusing on analytics enhancements and code refactoring. He implemented quantile regression-based analysis for male and female lifter datasets, using R and R Markdown to support data-driven scoring workflows. Ivan also developed R Markdown templates to streamline data repository submissions and module exploration, updating documentation to align with new analytical methods and educational objectives. Earlier work emphasized documentation integrity and traceability, establishing a disciplined foundation for future development. His contributions reflect a methodical approach to data analysis, visualization, and reproducible research within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
4,448
Activity Months2
Your Network
17 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for iramler/slu_score_module_development: Major overhaul of the Powerlifting Data Analysis Module with refactor and enhanced analytics capabilities; added R Markdown templates for data repository submission and score module exploration; implemented quantile regression-based analysis for male and female lifter data; updated introduction, learning objectives, and methods to align with the new analysis approach; aligned with updated business and educational objectives and set the stage for more rigorous, data-driven scoring workflows.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for iramler/slu_score_module_development: Major overhaul of the Powerlifting Data Analysis Module with refactor and enhanced analytics capabilities; added R Markdown templates for data repository submission and score module exploration; implemented quantile regression-based analysis for male and female lifter data; updated introduction, learning objectives, and methods to align with the new analysis approach; aligned with updated business and educational objectives and set the stage for more rigorous, data-driven scoring workflows.
June 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for the slu_score_module_development project. Focused on documentation integrity and change-tracking, with a non-functional placeholder added to Quarto documents to support future feature work. No user-facing features delivered and no major bugs fixed this month; the activity establishes a solid foundation for upcoming development and improves traceability.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for the slu_score_module_development project. Focused on documentation integrity and change-tracking, with a non-functional placeholder added to Quarto documents to support future feature work. No user-facing features delivered and no major bugs fixed this month; the activity establishes a solid foundation for upcoming development and improves traceability.
Activity
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Quality Metrics
Correctness50.0%
Maintainability50.0%
Architecture50.0%
Performance40.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownQuartoR
Technical Skills
Data AnalysisData VisualizationDocumentationQuantile RegressionRR Markdown
Repositories Contributed To
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