ying-ge/FigureYa
May 2025 – Oct 2025
5 Months active
Languages Used
HTMLJavaScriptRCSSMarkdownTexttext
Technical Skills
CSSData VisualizationFront-end DevelopmentHTMLJavaScriptR Markdown
Hui-Huang-sy
PROFILE
Hui-huang-sy
Over five months, M15979779687@163.com contributed to the ying-ge/FigureYa repository by building and maintaining data visualization and analysis tools for bioinformatics workflows. They implemented embeddable R Markdown and HTML-based clinical pie charts, modernized documentation, and automated environment setup to streamline onboarding and reproducibility. Their work included integrating large-scale gene expression and mutation datasets, updating artifact directories, and performing extensive code and asset cleanup to reduce technical debt. Using R, HTML, and CSS, they improved data curation, visualization, and repository hygiene, enabling more efficient clinical data analysis and supporting scalable, maintainable research pipelines for genomics and immunology projects.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
105Total
Bugs
7
Commits
105
Features
19
Lines of code
320,548
Activity Months5
Your Network
7 peopleShared Repositories
7
Work History
October 2025
12 Commits • 2 Features
Oct 1, 20252025-10 Monthly Summary for ying-ge/FigureYa: Delivered critical data and maintenance updates to expand analysis capabilities, improve data readiness, and reflect current platform capabilities. No major bugs identified this month; stability remains high.
12 Commits • 2 Features
Oct 1, 20252025-10 Monthly Summary for ying-ge/FigureYa: Delivered critical data and maintenance updates to expand analysis capabilities, improve data readiness, and reflect current platform capabilities. No major bugs identified this month; stability remains high.
October 2025
September 2025
19 Commits • 2 Features
Sep 1, 2025In September 2025, the FigureYa repository (ying-ge/FigureYa) advanced documentation, setup modernization, and genetic data integration to improve onboarding, reproducibility, and analytical capabilities. Key features delivered include documentation and environment setup modernization, and genetic data integration to support scMarker workflows. No major bugs were reported this month; maintenance focused on stability and reproducibility. Overall impact: faster onboarding for new contributors, more repeatable builds, and extended data support enabling broader genetic analyses. Technologies and skills demonstrated include HTML-based documentation, environment setup automation, large data handling, version control discipline, and collaboration across documentation and data assets.
September 2025
19 Commits • 2 Features
Sep 1, 2025In September 2025, the FigureYa repository (ying-ge/FigureYa) advanced documentation, setup modernization, and genetic data integration to improve onboarding, reproducibility, and analytical capabilities. Key features delivered include documentation and environment setup modernization, and genetic data integration to support scMarker workflows. No major bugs were reported this month; maintenance focused on stability and reproducibility. Overall impact: faster onboarding for new contributors, more repeatable builds, and extended data support enabling broader genetic analyses. Technologies and skills demonstrated include HTML-based documentation, environment setup automation, large data handling, version control discipline, and collaboration across documentation and data assets.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: UX/documentation enhancement for FigureYa by uploading explain image assets to two figure directories (FigureYa214KEGG_hierarchyV2 and FigureYa219GMM) with no code changes. Improves user guidance, onboarding, and documentation quality; supports faster onboarding and reduces ambiguity. Asset-only delivery in ying-ge/FigureYa.
2 Commits • 1 Features
Jul 1, 2025July 2025: UX/documentation enhancement for FigureYa by uploading explain image assets to two figure directories (FigureYa214KEGG_hierarchyV2 and FigureYa219GMM) with no code changes. Improves user guidance, onboarding, and documentation quality; supports faster onboarding and reduces ambiguity. Asset-only delivery in ying-ge/FigureYa.
July 2025
June 2025
66 Commits • 13 Features
Jun 1, 2025June 2025 focused on establishing and tidying the FigureYa artifacts repository, delivering initial scaffolding, and replacing/updating a broad set of artifact reports while removing deprecated files. Key work included: establishing the FigureYa artifacts directory and uploading the initial artifact set; replacing outdated FigureYa reports (FigureYa202consensusGene, FigureYa204PCAscore, FigureYa205immunophenoscore_update, FigureYa209batchEnrich, FigureYa210survivalScape, FigureYa211multiCohortImmSubtype, FigureYa213customizeHeatmap, FigureYa214KEGG_hierarchyV2, FigureYa219GMM, FigureYa220repeatedLasso) with updated versions; and a comprehensive cleanup of deprecated artifacts across FigureYa197SmoothHaz, FigureYa198SignatureCombinationV2, FigureYa199crosslink, FigureYa200pairwiseAUC, FigureYa201ClusterCorrelation, plus obsolete images. This work reduces clutter, improves maintainability, and prepares the project for scalable artifact management and reproducible research pipelines.
June 2025
66 Commits • 13 Features
Jun 1, 2025June 2025 focused on establishing and tidying the FigureYa artifacts repository, delivering initial scaffolding, and replacing/updating a broad set of artifact reports while removing deprecated files. Key work included: establishing the FigureYa artifacts directory and uploading the initial artifact set; replacing outdated FigureYa reports (FigureYa202consensusGene, FigureYa204PCAscore, FigureYa205immunophenoscore_update, FigureYa209batchEnrich, FigureYa210survivalScape, FigureYa211multiCohortImmSubtype, FigureYa213customizeHeatmap, FigureYa214KEGG_hierarchyV2, FigureYa219GMM, FigureYa220repeatedLasso) with updated versions; and a comprehensive cleanup of deprecated artifacts across FigureYa197SmoothHaz, FigureYa198SignatureCombinationV2, FigureYa199crosslink, FigureYa200pairwiseAUC, FigureYa201ClusterCorrelation, plus obsolete images. This work reduces clutter, improves maintainability, and prepares the project for scalable artifact management and reproducible research pipelines.
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 (Month: 2025-05) — ying-ge/FigureYa: Delivered an initial FigureYa196PanPie pie chart visualization for clinical prognostic stage distributions using R Markdown, with HTML scaffolding to enable quick embedding into dashboards. This supports clearer data storytelling for clinicians and decision-makers, enabling faster, evidence-based insights. Also performed deprecation and cleanup of the FigureYa196PanPie visualization by removing Rmd, HTML, and related CSS to reduce maintenance burden and avoid deprecated UI components. The work aligns with the project’s maintainability goals and prepares the ground for a streamlined visualization approach. Business value: improved data presentation for clinical decision support, faster hypothesis testing for prognostic distributions, and reduced technical debt through targeted cleanup. Technologies/skills demonstrated: R Markdown, HTML scaffolding for embeddable visuals, Git-based change management, deprecation/cleanup workflows, repo hygiene, and cross-team communication through clear commit traceability.
6 Commits • 1 Features
May 1, 2025May 2025 (Month: 2025-05) — ying-ge/FigureYa: Delivered an initial FigureYa196PanPie pie chart visualization for clinical prognostic stage distributions using R Markdown, with HTML scaffolding to enable quick embedding into dashboards. This supports clearer data storytelling for clinicians and decision-makers, enabling faster, evidence-based insights. Also performed deprecation and cleanup of the FigureYa196PanPie visualization by removing Rmd, HTML, and related CSS to reduce maintenance burden and avoid deprecated UI components. The work aligns with the project’s maintainability goals and prepares the ground for a streamlined visualization approach. Business value: improved data presentation for clinical decision support, faster hypothesis testing for prognostic distributions, and reduced technical debt through targeted cleanup. Technologies/skills demonstrated: R Markdown, HTML scaffolding for embeddable visuals, Git-based change management, deprecation/cleanup workflows, repo hygiene, and cross-team communication through clear commit traceability.
May 2025
Activity
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Quality Metrics
Correctness89.4%
Maintainability88.6%
Architecture85.4%
Performance84.4%
AI Usage21.8%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptMarkdownRTexttext
Technical Skills
BioinformaticsBoruta AlgorithmCSSCode CleanupCox Proportional Hazards ModelData AnalysisData CurationData EngineeringData EntryData ManagementData PreprocessingData VisualizationDifferential Expression AnalysisDimensionality ReductionDocumentation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline