Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub
Oct 2024 – Jan 2025
4 Months active
Languages Used
MarkdownCSVHTMLJavaScriptRR Markdown
Technical Skills
DocumentationData AnalysisData EntryData ManagementData VisualizationFront-end Development
celineony
PROFILE
Celineony
Celine Onyemaechi developed a series of data-driven features for the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository, focusing on reproducible analysis and visualization workflows. She established project scaffolding and onboarding documentation using Markdown and HTML, then expanded the repository with R-based data analysis projects, including macronutrient and whisky rating visualizations. Her technical approach emphasized clear data flow, reusable R Markdown reports, and maintainable project structure, leveraging Tidyverse for data wrangling and visualization. Celine’s work enabled cross-regional benchmarking and nutrition insights, with a focus on traceable commits and thorough documentation, resulting in a robust foundation for scalable, client-ready data projects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
5
Lines of code
9,908
Activity Months4
Your Network
53 peopleSame Organization
@student.uni-tuebingen.de14
Work History
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments for the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository. Delivered a high-impact data-visualization feature with thorough documentation, reinforcing business value through cross-regional insights and performance benchmarking.
5 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments for the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository. Delivered a high-impact data-visualization feature with thorough documentation, reinforcing business value through cross-regional insights and performance benchmarking.
January 2025
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024: Delivered end-to-end macronutrient analysis and diet-plan visualizations for Day 1 and Day 2 using R and R Markdown. Implemented BMR and Daily Energy Demand calculations, two sample diet plans, and visuals (pie charts and bar plots) with refactored data loading and updated assets. No critical defects were reported; branch/deployment issues related to chart publishing were resolved and the final project was delivered, enabling reproducible nutrition insights and data-driven decision making.
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024: Delivered end-to-end macronutrient analysis and diet-plan visualizations for Day 1 and Day 2 using R and R Markdown. Implemented BMR and Daily Energy Demand calculations, two sample diet plans, and visuals (pie charts and bar plots) with refactored data loading and updated assets. No critical defects were reported; branch/deployment issues related to chart publishing were resolved and the final project was delivered, enabling reproducible nutrition insights and data-driven decision making.
November 2024
9 Commits • 2 Features
Nov 1, 2024Nov 2024 monthly summary: Key features delivered include foundational project scaffolding and a Hello World page, and the expansion of the Behavioral Data Analysis project with dataset additions, updated descriptions and methodology, an image asset, and a reproducible slide deck with R code. Major bugs fixed: none documented. Overall impact: established a reusable baseline that improves reproducibility, onboarding, and client-ready data storytelling; sets the stage for rapid iteration and scale. Technologies demonstrated: HTML, Pandoc, jQuery, R, dataset management, documentation, and version control.
9 Commits • 2 Features
Nov 1, 2024Nov 2024 monthly summary: Key features delivered include foundational project scaffolding and a Hello World page, and the expansion of the Behavioral Data Analysis project with dataset additions, updated descriptions and methodology, an image asset, and a reproducible slide deck with R code. Major bugs fixed: none documented. Overall impact: established a reusable baseline that improves reproducibility, onboarding, and client-ready data storytelling; sets the stage for rapid iteration and scale. Technologies demonstrated: HTML, Pandoc, jQuery, R, dataset management, documentation, and version control.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024: Established baseline scaffolding for the Data-projects-with-R-and-GitHub repository by adding a Hello World placeholder (hello-world.md) under Projects/celineony, creating a repeatable setup for future R + GitHub work. This work enhances onboarding, project organization, and maintainability, with a traceable change history. No major bugs fixed this month; focus was on setup and documentation to enable faster feature delivery. Technologies demonstrated include Git/GitHub version control, Markdown-based documentation, and lightweight project scaffolding.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024: Established baseline scaffolding for the Data-projects-with-R-and-GitHub repository by adding a Hello World placeholder (hello-world.md) under Projects/celineony, creating a repeatable setup for future R + GitHub work. This work enhances onboarding, project organization, and maintainability, with a traceable change history. No major bugs fixed this month; focus was on setup and documentation to enable faster feature delivery. Technologies demonstrated include Git/GitHub version control, Markdown-based documentation, and lightweight project scaffolding.
Activity
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Quality Metrics
Correctness88.6%
Maintainability87.6%
Architecture84.8%
Performance83.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVHTMLJavaScriptMarkdownRR Markdown
Technical Skills
Data AnalysisData CleaningData EntryData ManagementData VisualizationData WranglingDocumentationFront-end DevelopmentMarkdownPresentation DevelopmentProject DocumentationRR MarkdownR ProgrammingStatistics
Repositories Contributed To
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