huciupaul/SHTARWaRS
May 2025 – May 2025
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisData ProcessingData VisualizationMatplotlibNumpyPython
samdbvu
PROFILE
Samdbvu
Developed a Trade-off Visualization and Sensitivity Analysis Suite for the huciupaul/SHTARWaRS repository, focusing on delivering robust analytics and enhanced data interpretability. The work centered on building user-facing visualizations such as bar charts for wins by type and weight, heatmaps with matrix cues, and a percentage-based results table. Leveraging Python, Numpy, and Matplotlib, the developer refined win-percentage calculations to ensure consistency across all inputs and improved labeling and color schemes for better user experience. The suite was designed to facilitate data-driven decision-making, laying a foundation for future analytics expansion without requiring critical bug fixes during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
1
Lines of code
385
Activity Months1
Your Network
9 peopleShared Repositories
9
Adam MoecMember
aitorbilbaoMember
alvarovaldeMember
huciupaulMember
ihendrickxMember
mateialbu5Member
mmurciaMember
sbcoxMember
sksiezakMember
Work History
May 2025
10 Commits • 1 Features
May 1, 2025May 2025 (huciupaul/SHTARWaRS) delivered a comprehensive Trade-off Visualization and Sensitivity Analysis Suite, featuring bar charts for wins by type and weight, heatmaps with redness/matrix cues, improved labeling and color schemes, and refined win-percentage calculations plus a percentage-based results table. No critical bug fixes were identified this month; the focus was on feature delivery, UI/UX refinements, and establishing robust analytics that support data-driven decision-making. The work enhances interpretability, consistency across inputs, and sets the stage for future analytics expansions.
10 Commits • 1 Features
May 1, 2025May 2025 (huciupaul/SHTARWaRS) delivered a comprehensive Trade-off Visualization and Sensitivity Analysis Suite, featuring bar charts for wins by type and weight, heatmaps with redness/matrix cues, improved labeling and color schemes, and refined win-percentage calculations plus a percentage-based results table. No critical bug fixes were identified this month; the focus was on feature delivery, UI/UX refinements, and establishing robust analytics that support data-driven decision-making. The work enhances interpretability, consistency across inputs, and sets the stage for future analytics expansions.
May 2025
Activity
Loading activity data...
Quality Metrics
Correctness82.0%
Maintainability82.0%
Architecture74.0%
Performance82.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData ProcessingData VisualizationMatplotlibNumpyPythonPython ScriptingSensitivity Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline