apache/echarts
Jul 2025 – Jul 2025
1 Month active
Languages Used
HTMLJavaScriptTypeScript
Technical Skills
Code RefactoringData VisualizationEChartsFront-end DevelopmentFrontend DevelopmentJavaScript
SihongShen
PROFILE
Sihongshen
Worked on the apache/echarts repository to enhance the accuracy and reliability of logarithmic scales in data visualizations. Focused on front-end development using JavaScript and TypeScript, the work included refactoring log scale functionality for improved robustness and updating documentation to clarify usage. Addressed issues with axis ticks by enabling accurate rendering for values below 1e-10, which reduced misinterpretation of very small data points. Adjusted rounding precision for scientific notation and introduced new visualization tests to strengthen test coverage. These changes improved dashboard reliability and user experience, ensuring that even tiny values are displayed and interpreted correctly in ECharts visualizations.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
337,206
Activity Months1
Your Network
142 peopleWork History
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the echarts development. Focused on improving the accuracy, robustness, and test coverage of logarithmic scales, delivering three impactful changes that enhance precision, stability, and user experience in data visualizations. Key outcomes include enabling ticks below 1e-10 on logarithmic axes, refactoring log scale for robustness and documentation improvements, and tightening rounding precision for scientific notation with a new visualization test for very small values. These changes reduce misinterpretation of tiny values, improve dashboard reliability, and strengthen test coverage.
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the echarts development. Focused on improving the accuracy, robustness, and test coverage of logarithmic scales, delivering three impactful changes that enhance precision, stability, and user experience in data visualizations. Key outcomes include enabling ticks below 1e-10 on logarithmic axes, refactoring log scale for robustness and documentation improvements, and tightening rounding precision for scientific notation with a new visualization test for very small values. These changes reduce misinterpretation of tiny values, improve dashboard reliability, and strengthen test coverage.
July 2025
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture76.6%
Performance76.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
HTMLJavaScriptTypeScript
Technical Skills
Code RefactoringData VisualizationEChartsFront-end DevelopmentFrontend DevelopmentJavaScriptLogarithmic ScalesTypeScript
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline