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sunny-011

PROFILE

Sunny-011

Contributed to the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository by building data analysis and visualization features, onboarding documentation, and asset management workflows over four months. Leveraged R, R Markdown, and Tidyverse to deliver analytics on solar energy and social media advertising, including data cleaning, transformation, and visualization scripts. Improved repository hygiene through disciplined file organization, artifact management, and removal of redundant or outdated assets. Enhanced onboarding and collaboration by documenting project structure, user progress, and contributor guidelines in Markdown. Addressed one bug by reverting unintended student submissions, ensuring a reproducible project state and supporting scalable, hands-on analytics and learning workflows.

Overall Statistics

Feature vs Bugs

90%Features

Repository Contributions

29Total
Bugs
1
Commits
29
Features
9
Lines of code
309,357
Activity Months4

Work History

July 2026

4 Commits • 1 Features

Jul 1, 2026

July 2026 monthly summary for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub. Implemented an R-based data analysis exercise suite with new R Markdown files, project descriptions, data visualization scripts, and a standardized R profile setup plus a comprehensive .gitignore to manage artifacts, enabling student submissions and hands-on workflows. Performed repository hygiene improvements and cleanup to revert unintended student submissions and artifacts, ensuring a clean, reproducible project state.

June 2026

7 Commits • 2 Features

Jun 1, 2026

June 2026: Delivered data ingestion and asset management capabilities for the Social Media Advertising Analytics project within the Data-projects-with-R-and-GitHub repository, with a focus on data governance, asset lifecycle, and documentation alignment. No major defects identified; cleanup and documentation updates prepared the project for the next phase. The work improves data accessibility, reduces storage clutter, and strengthens onboarding and collaboration for analytics initiatives.

May 2026

9 Commits • 2 Features

May 1, 2026

May 2026: Delivered PV Data Analysis and Visualization feature with data cleaning, transformation, energy yield, consumption, and financial metrics alongside visualizations; completed Social Media Advertising Analysis project documentation and setup, including dataset description, cleanup/manipulation/visualization tasks, and README/project-path updates; performed repository hygiene improvements by removing redundant files. These contributions accelerate data-driven decisions on energy costs and enable scalable analytics work for marketing analytics across two related projects.

April 2026

9 Commits • 4 Features

Apr 1, 2026

In April 2026, the Data-projects-with-R-and-GitHub repository emphasis was on documentation-driven onboarding and repo hygiene to enhance contributor productivity and project clarity. Key features delivered were documented in markdown to guide users and contributors, aligning with the project’s data/R workflow and GitHub practices. The month included no major bug fixes; instead, the focus was on cleaning up noise and establishing a stable documentation baseline that supports scalable contribution and easier knowledge transfer.

Activity

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Quality Metrics

Correctness98.6%
Maintainability96.6%
Architecture96.6%
Performance95.2%
AI Usage22.8%

Skills & Technologies

Programming Languages

CSVMarkdownNoneR

Technical Skills

Data AnalysisData VisualizationGitRR MarkdownR programmingTidyverseWeb Scrapingdata analysisdata cleaningdata managementdata visualizationdocumentationfile organizationggplot2

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub

Apr 2026 Jul 2026
4 Months active

Languages Used

MarkdownRCSVNone

Technical Skills

GitRR programmingdata analysisdocumentationmarkdown