iramler/slu_score_module_development
Apr 2025 – Apr 2025
1 Month active
Languages Used
CSSHTMLJavaScriptMarkdownR
Technical Skills
BootstrapContent ManagementData AnalysisData CleaningData LoadingData Visualization
Alixfritz
PROFILE
Alixfritz
Alix Fritz developed a Rugby Match Analysis Web App for the iramler/slu_score_module_development repository, focusing on data visualization and enhanced filtering to support analytics and usability. Leveraging R Shiny, Bootstrap, and JavaScript, Alix upgraded the HTML-based user interface and implemented more portable, reliable data loading paths. The work included creating and maintaining Rugby-related presentation materials and updating data analysis documentation to facilitate adoption and training. No major defects were reported, reflecting a focus on maintainability and clear stakeholder communication. The project established a scalable foundation for future analytics, emphasizing robust frontend development and comprehensive content management throughout the process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
2
Lines of code
10,991
Activity Months1
Your Network
17 people
Work History
April 2025
10 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for iramler/slu_score_module_development: Delivered a new Rugby Match Analysis Web App with data visualizations, enhanced filtering, and a Bootstrap-based UI upgrade to improve usability and reliability. Implemented faster, portable data loading paths. Produced Rugby content and presentation materials and refreshed data analysis documentation to support adoption and training. No major defects reported; focus was on feature delivery, documentation, and maintainability, establishing a foundation for scalable analytics and improved stakeholder communication.
10 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for iramler/slu_score_module_development: Delivered a new Rugby Match Analysis Web App with data visualizations, enhanced filtering, and a Bootstrap-based UI upgrade to improve usability and reliability. Implemented faster, portable data loading paths. Produced Rugby content and presentation materials and refreshed data analysis documentation to support adoption and training. No major defects reported; focus was on feature delivery, documentation, and maintainability, establishing a foundation for scalable analytics and improved stakeholder communication.
April 2025
Activity
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Quality Metrics
Correctness93.0%
Maintainability92.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptMarkdownR
Technical Skills
BootstrapContent ManagementData AnalysisData CleaningData LoadingData VisualizationDocumentationFrontend DevelopmentR ShinyWeb Development
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