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 contributed to the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository by delivering features focused on data asset management, documentation, and code quality. Over three months, Yuguang enhanced onboarding and reproducibility by updating project READMEs, curating visualization assets, and managing large datasets such as ATP tennis match data. Using R, CSV, and Markdown, Yuguang streamlined data workflows by cleaning obsolete files, aligning documentation with current project scope, and improving data integrity for volleyball and tennis analytics. The work demonstrated a disciplined approach to repository hygiene, reproducibility, and data lifecycle management, resulting in clearer project artifacts and more reliable analysis environments.
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
59 peopleSame Organization
@student.uni-tuebingen.de15
Shared Repositories
44
Zee1230Member
AdkhamjonMember
ann-kathrinrahmelMember
anne-sophiepaechMember
ArminBurkhardtMember
Armin BurkhardtMember
Beileiwang897Member
Benedikt KleinMember
MoonSunKyoungMember
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline