pharmaverse/aNCA
Jan 2025 – Sep 2025
3 Months active
Languages Used
RJavaScriptYAMLRoxygen
Technical Skills
Data VisualizationData WranglingR ProgrammingCDISC StandardsCode CleanupConfiguration Management
Legras
PROFILE
Legras
Valentin Legras developed and enhanced data visualization and reporting features for the pharmaverse/aNCA repository, focusing on pharmacokinetic workflows. Over three months, he delivered robust UI improvements, streamlined data preparation, and refactored report generation logic to improve clarity and maintainability. Using R, Shiny, and JavaScript, Valentin introduced deterministic data handling, expanded TLG export capabilities, and improved user navigation across forms and tabs. He prioritized code quality through consistent formatting, linting, and documentation, while also addressing bugs and simplifying architecture. His work enabled faster, more reliable data exploration and reporting, reducing manual post-processing and supporting reproducible, publication-ready outputs for end users.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
33Total
Bugs
5
Commits
33
Features
12
Lines of code
5,874
Activity Months3
Your Network
20 peopleSame Organization
@emea.roche.com2
Work History
September 2025
11 Commits • 5 Features
Sep 1, 2025September 2025 focused on delivering data prep improvements, UI and visualization enhancements, and robustness fixes in the pharmaverse/aNCA repository. Key outcomes include streamlined data preparation with an ATPTREF column, improved default UI selections for faster exploration, deterministic ordering for study types, default ±SD in explore plots for clearer variability, and UX upgrades including larger file uploads and PK dose QC labeling updates. These changes reduce time-to-insight, improve consistency of outputs, and elevate data exploration quality across NCA workflows.
11 Commits • 5 Features
Sep 1, 2025September 2025 focused on delivering data prep improvements, UI and visualization enhancements, and robustness fixes in the pharmaverse/aNCA repository. Key outcomes include streamlined data preparation with an ATPTREF column, improved default UI selections for faster exploration, deterministic ordering for study types, default ±SD in explore plots for clearer variability, and UX upgrades including larger file uploads and PK dose QC labeling updates. These changes reduce time-to-insight, improve consistency of outputs, and elevate data exploration quality across NCA workflows.
September 2025
July 2025
21 Commits • 6 Features
Jul 1, 2025July 2025 performance highlights for pharmaverse/aNCA focused on delivering business-critical UI enhancements, robust data handling, and code quality improvements while simplifying architecture for maintainability. The work supports faster decision-making, improved data exposure for NCA, and a smoother user workflow across tabs and forms.
July 2025
21 Commits • 6 Features
Jul 1, 2025July 2025 performance highlights for pharmaverse/aNCA focused on delivering business-critical UI enhancements, robust data handling, and code quality improvements while simplifying architecture for maintainability. The work supports faster decision-making, improved data exposure for NCA, and a smoother user workflow across tabs and forms.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary focused on delivering a high-impact feature in pharmaverse/aNCA that enhances listing and report generation, with emphasis on clarity, accuracy, and maintainability. The work included refactoring the listing layout, adding unit handling for specific variables, and improving parsing of titles and footnotes to produce more actionable, publication-ready listings. Documentation and commit hygiene were maintained to support future development and reviews.
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary focused on delivering a high-impact feature in pharmaverse/aNCA that enhances listing and report generation, with emphasis on clarity, accuracy, and maintainability. The work included refactoring the listing layout, adding unit handling for specific variables, and improving parsing of titles and footnotes to produce more actionable, publication-ready listings. Documentation and commit hygiene were maintained to support future development and reviews.
January 2025
Activity
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Quality Metrics
Correctness87.0%
Maintainability87.6%
Architecture83.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptRRoxygenYAML
Technical Skills
CDISC StandardsCode CleanupCode FormattingConfiguration ManagementData AnalysisData CleaningData ExportData ManipulationData VisualizationData WranglingData manipulationDataTablesDocumentationFront End DevelopmentPackage Management
Repositories Contributed To
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