apache/echarts
Jul 2025 – Jul 2025
1 Month active
Languages Used
HTMLJavaScriptTypeScript
Technical Skills
Code RefactoringData VisualizationEChartsFront-end DevelopmentFrontend DevelopmentJavaScript
SihongShen
PROFILE
Sihongshen
During July 2025, S. S. contributed to the apache/echarts repository by enhancing the accuracy and robustness of logarithmic scales in data visualizations. They addressed issues with axis ticks for values below 1e-10, enabling more precise rendering of small numbers and reducing the risk of misinterpretation. Their work involved refactoring the log scale functionality using TypeScript and JavaScript, improving both code maintainability and test coverage. S. S. also adjusted rounding precision for scientific notation and introduced new visualization tests in HTML, resulting in more reliable dashboards and a better user experience when working with complex scientific data.
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
127 people
Work 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
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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
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