factorialco/factorial-one
Jun 2026 – Jun 2026
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
ReactUI/UX designdata visualizationfront end development
Andres Rojo
PROFILE
Andres Rojo
Developed a new category bar chart table cell renderer for the factorial-one repository, enabling direct visualization of category distributions within table columns. Leveraging React and TypeScript, the implementation introduced horizontal stacked bars and interactive tooltips to enhance data storytelling and user comprehension. The work included defining a new value-display cell type and refining tooltip behavior to ensure accurate, responsive interactivity, particularly in clickable cells. This feature supports improved data-driven decision-making by making categorical data more accessible and visually intuitive. The project focused on front end development and UI/UX design, with all changes delivered through two targeted commits.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
769
Activity Months1
Your Network
132 peopleWork History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 Monthly Summary for factorial-one: Delivered a new categoryBarChart table cell renderer to enhance visualizing category distributions directly in table columns, using horizontal stacked bars and tooltips for improved data storytelling. Implemented categoryBarChart as a new value-display cell type and fixed tooltip behavior in clickable cells to ensure accurate interactivity. This work improves data comprehension, accelerates insights, and supports better decision-making with visualized categorical data.
2 Commits • 1 Features
Jun 1, 2026June 2026 Monthly Summary for factorial-one: Delivered a new categoryBarChart table cell renderer to enhance visualizing category distributions directly in table columns, using horizontal stacked bars and tooltips for improved data storytelling. Implemented categoryBarChart as a new value-display cell type and fixed tooltip behavior in clickable cells to ensure accurate interactivity. This work improves data comprehension, accelerates insights, and supports better decision-making with visualized categorical data.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
ReactUI/UX designdata visualizationfront end development
Repositories Contributed To
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