factorialco/factorial-one
Dec 2024 – Dec 2024
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
Component DevelopmentData VisualizationReactStorybookTypeScript
Rubén Moya
PROFILE
Rubén Moya
Developed a RadarChart visualization component for the factorial-one repository, expanding the platform’s data visualization capabilities. The component was built using React and TypeScript, leveraging the recharts library to support dynamic data configuration and custom scaling options. Storybook examples were included to streamline demonstration and integration for frontend teams, enabling rapid adoption and consistent usage across projects. This work enhanced dashboard expressiveness, allowing users to visualize complex datasets more efficiently and make data-driven decisions with greater clarity. The implementation focused on modular component development and maintainable code structure, contributing a reusable feature that reduces the time required to build analytics interfaces.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
219
Activity Months1
Your Network
111 peopleShared Repositories
71
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the RadarChart Visualization Component for factorial-one, expanding data visualization capabilities with React and recharts. The feature supports dynamic data configuration, custom scaling, and includes Storybook examples for demonstration and integration. This work enhances dashboards, improves data-driven decision making, and reduces time to visualize complex datasets. The commit 0df93094fe09932827aeec6003f9bfbcdb32096a (#876) was merged into main.
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the RadarChart Visualization Component for factorial-one, expanding data visualization capabilities with React and recharts. The feature supports dynamic data configuration, custom scaling, and includes Storybook examples for demonstration and integration. This work enhances dashboards, improves data-driven decision making, and reduces time to visualize complex datasets. The commit 0df93094fe09932827aeec6003f9bfbcdb32096a (#876) was merged into main.
December 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
Component DevelopmentData VisualizationReactStorybookTypeScript
Repositories Contributed To
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