Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub
Nov 2024 – Jan 2025
3 Months active
Languages Used
CSSCSVHTMLJavaScriptMarkdownR
Technical Skills
Data AnalysisData EngineeringData VisualizationDocumentationFront End DevelopmentFile Management
yuguang003
PROFILE
Yuguang003
Yuguang Chen enhanced the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository by delivering features focused on data asset management, documentation clarity, and code quality. Over three months, Yuguang curated and updated datasets for tennis and volleyball analytics, improved project reproducibility, and streamlined onboarding by removing obsolete files and refining documentation. Using R, CSV, and Markdown, Yuguang managed data lifecycles, ensured analysis-ready resources, and maintained repository hygiene through tracked commits and code cleanup. The work addressed data integrity and usability, enabling teams to access reliable datasets and clear project artifacts, and demonstrated a disciplined approach to data engineering and front-end development.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
6
Lines of code
5,415
Activity Months3
Your Network
53 peopleSame Organization
@student.uni-tuebingen.de14
Work History
January 2025
11 Commits • 2 Features
Jan 1, 2025For 2025-01, delivered data-management enhancements and code-quality improvements in the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository. The updates focus on volleyball and tennis data file management, along with project cleanup to improve data integrity, reproducibility, and readiness for analysis across teams.
11 Commits • 2 Features
Jan 1, 2025For 2025-01, delivered data-management enhancements and code-quality improvements in the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository. The updates focus on volleyball and tennis data file management, along with project cleanup to improve data integrity, reproducibility, and readiness for analysis across teams.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Repository hygiene and documentation alignment for Data-projects-with-R-and-GitHub. Focused on removing obsolete content to reflect current project scope, reducing maintenance burden, and improving onboarding clarity.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Repository hygiene and documentation alignment for Data-projects-with-R-and-GitHub. Focused on removing obsolete content to reflect current project scope, reducing maintenance burden, and improving onboarding clarity.
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024: Delivered documentation and asset-management enhancements across the repository Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub. Key features delivered include updates to Yuguang Chen's project (README updates, asset management, and cleanup of obsolete HTML output), addition of a visualization image asset for Selena-qian's project, and provisioning a large ATP tennis match CSV dataset for analytics. Major improvements in repo hygiene and reproducibility, enabling faster onboarding, clearer project artifacts, and ready-to-use assets for visualization and data analysis. Demonstrated skills include version control hygiene, documentation best practices, data asset curation, and asset visualization.
6 Commits • 3 Features
Nov 1, 2024November 2024: Delivered documentation and asset-management enhancements across the repository Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub. Key features delivered include updates to Yuguang Chen's project (README updates, asset management, and cleanup of obsolete HTML output), addition of a visualization image asset for Selena-qian's project, and provisioning a large ATP tennis match CSV dataset for analytics. Major improvements in repo hygiene and reproducibility, enabling faster onboarding, clearer project artifacts, and ready-to-use assets for visualization and data analysis. Demonstrated skills include version control hygiene, documentation best practices, data asset curation, and asset visualization.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSCSVHTMLJavaScriptMarkdownR
Technical Skills
Code CleanupData AnalysisData EngineeringData ManagementData VisualizationDocumentationFile ManagementFront End DevelopmentR Markdown
Repositories Contributed To
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