Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub
Nov 2024 – Jan 2025
3 Months active
Languages Used
MarkdownR MarkdownR
Technical Skills
Data AnalysisData VisualizationDocumentationProject DescriptionData ProcessingR
Beileiwang897
PROFILE
Beileiwang897
Over a three-month period, contributed to Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub by developing data analysis workflows and visualization assets using R, R Markdown, and the Tidyverse. Delivered end-to-end pipelines for experimental and regional whisky data, including multi-file ingestion, data cleaning, and calculation of derived metrics such as corrected recognition scores. Produced grouped bar, spider, and radar plots to support cross-study and regional comparisons, while refining project documentation and descriptions for clarity and reproducibility. Focused on maintainable code by streamlining data processing and stabilizing data ingestion, enabling scalable, repeatable analyses and clear reporting for stakeholders without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
6
Lines of code
801
Activity Months3
Your Network
78 peopleShared Repositories
60
Work History
January 2025
9 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a comprehensive Whisky Regional Quality Analysis Report as part of the Data-projects-with-R-and-GitHub initiative. Implemented data loading and cleaning improvements, introduced spider and radar visualizations, and produced a consolidating report with visuals to assess regional whisky quality and ratings. Stabilized data ingestion, improved data quality, and enabled scalable, reproducible analyses for stakeholders.
9 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a comprehensive Whisky Regional Quality Analysis Report as part of the Data-projects-with-R-and-GitHub initiative. Implemented data loading and cleaning improvements, introduced spider and radar visualizations, and produced a consolidating report with visuals to assess regional whisky quality and ratings. Stabilized data ingestion, improved data quality, and enabled scalable, reproducible analyses for stakeholders.
January 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 — Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub: Delivered an end-to-end R Markdown data analysis workflow for experimental data, including multi-file ingestion, data pooling, calculation of a corrected recognition score, and a grouped bar visualization with study-level faceting. Refactored data loading to use GitHub URLs, streamlined data processing with a single pipe, and refined plotting for consistency and readability. No major bugs fixed this month; primary focus was feature delivery, code quality, and reproducibility to support scalable analyses and faster stakeholder reporting.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 — Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub: Delivered an end-to-end R Markdown data analysis workflow for experimental data, including multi-file ingestion, data pooling, calculation of a corrected recognition score, and a grouped bar visualization with study-level faceting. Refactored data loading to use GitHub URLs, streamlined data processing with a single pipe, and refined plotting for consistency and readability. No major bugs fixed this month; primary focus was feature delivery, code quality, and reproducibility to support scalable analyses and faster stakeholder reporting.
November 2024
5 Commits • 4 Features
Nov 1, 2024Month: 2024-11 — Performance-focused summary for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub. Delivered asset-based visualization readiness for Beilei-Wang projects, refined project scope for sports participation visualization, and established a comprehensive income distribution project description. Executed timely asset cleanup to remove obsolete material and prevent confusion, aligning artifacts with current goals.
5 Commits • 4 Features
Nov 1, 2024Month: 2024-11 — Performance-focused summary for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub. Delivered asset-based visualization readiness for Beilei-Wang projects, refined project scope for sports participation visualization, and established a comprehensive income distribution project description. Executed timely asset cleanup to remove obsolete material and prevent confusion, aligning artifacts with current goals.
November 2024
Activity
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Quality Metrics
Correctness88.8%
Maintainability88.2%
Architecture85.8%
Performance84.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownRR Markdown
Technical Skills
Data AnalysisData CleaningData ProcessingData VisualizationDocumentationProject DescriptionRR ProgrammingStatistical AnalysisTidyverse
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline