Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub
Apr 2026 – Apr 2026
1 Month active
Languages Used
MarkdownR
Technical Skills
R Markdowndata analysisdata visualizationdocumentationweb scraping
AnjaWe2
PROFILE
Anjawe2
Contributed to the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository by developing a comprehensive Documentation and Tutorials pack focused on onboarding and reproducibility. The work centered on creating a Markdown file for project progress tracking and an R Markdown tutorial that guides users through data analysis and visualization tasks, including web scraping for table extraction and plot rendering. Leveraged R, R Markdown, and Markdown to encode best practices and ensure consistent, reproducible workflows for new contributors. No bugs were reported or fixed during this period, as the primary emphasis was on maintainable documentation and reusable analytics processes within the repository’s collaborative environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
69
Activity Months1
Your Network
86 peopleSame Organization
@student.uni-tuebingen.de26
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary focusing on feature delivery and documentation-driven work for the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository. The primary deliverable was a Documentation and Tutorials pack to improve onboarding, reproducibility, and data analysis capabilities. No major bugs reported or fixed this month; emphasis was on creating reusable documentation and tutorials that encode best practices for data analysis with R and R Markdown.
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary focusing on feature delivery and documentation-driven work for the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository. The primary deliverable was a Documentation and Tutorials pack to improve onboarding, reproducibility, and data analysis capabilities. No major bugs reported or fixed this month; emphasis was on creating reusable documentation and tutorials that encode best practices for data analysis with R and R Markdown.
April 2026
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownR
Technical Skills
R Markdowndata analysisdata visualizationdocumentationweb scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline