Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub
Apr 2026 – May 2026
2 Months active
Languages Used
MarkdownR
Technical Skills
R programmingdata analysisdata manipulationdocumentationtidyverseversion control
SamiPhoenix
PROFILE
Samiphoenix
Contributed to the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository by developing end-to-end data processing and analytics workflows in R, focusing on solar energy metrics and biodiversity datasets. Built scripts for processing, transforming, and visualizing energy consumption and production data, incorporating financial analysis to quantify usage and savings. Established a robust workflow for IUCN Red List species data, including import, wrangling, and reporting with R Markdown. Emphasized reproducibility and maintainability through thorough documentation, environment management, and version control practices. Leveraged R, tidyverse, and ggplot2 to deliver reusable components, improve onboarding readiness, and support actionable insights for energy and biodiversity projects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
18Total
Bugs
0
Commits
18
Features
4
Lines of code
838
Activity Months2
Your Network
60 peopleWork History
May 2026
13 Commits • 2 Features
May 1, 2026May 2026 monthly summary for the Dr-Eberle-Zentrum Data projects with R and GitHub. Focused on delivering data-driven energy analytics and a robust IUCN Red List data workflow, with improvements in data transformation, aggregation, visualization, and documentation. These efforts enabled actionable insights for energy cost savings and biodiversity data understanding, while strengthening reproducibility and release discipline across the repository.
13 Commits • 2 Features
May 1, 2026May 2026 monthly summary for the Dr-Eberle-Zentrum Data projects with R and GitHub. Focused on delivering data-driven energy analytics and a robust IUCN Red List data workflow, with improvements in data transformation, aggregation, visualization, and documentation. These efforts enabled actionable insights for energy cost savings and biodiversity data understanding, while strengthening reproducibility and release discipline across the repository.
May 2026
April 2026
5 Commits • 2 Features
Apr 1, 2026April 2026 — Key deliverables for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub: Key features delivered: - Solar Energy Data Processing Script in R to process solar energy data, including calculations for energy consumption and production metrics (commit 971bb16d7c06c5e067cbddf1f5ade0717516a4b2). Major bugs fixed: - No explicit bugs fixed this month; work focused on feature delivery and housekeeping. Overall impact and accomplishments: - Established an end-to-end data processing capability for solar energy metrics and improved maintainability through documentation and housekeeping updates, setting a solid foundation for future enhancements and faster onboarding. Technologies/skills demonstrated: - R scripting for data processing, version control discipline, documentation hygiene, troubleshooting practices, and environment management.
April 2026
5 Commits • 2 Features
Apr 1, 2026April 2026 — Key deliverables for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub: Key features delivered: - Solar Energy Data Processing Script in R to process solar energy data, including calculations for energy consumption and production metrics (commit 971bb16d7c06c5e067cbddf1f5ade0717516a4b2). Major bugs fixed: - No explicit bugs fixed this month; work focused on feature delivery and housekeeping. Overall impact and accomplishments: - Established an end-to-end data processing capability for solar energy metrics and improved maintainability through documentation and housekeeping updates, setting a solid foundation for future enhancements and faster onboarding. Technologies/skills demonstrated: - R scripting for data processing, version control discipline, documentation hygiene, troubleshooting practices, and environment management.
Activity
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Quality Metrics
Correctness92.4%
Maintainability90.0%
Architecture88.8%
Performance90.0%
AI Usage22.4%
Skills & Technologies
Programming Languages
MarkdownR
Technical Skills
RR programmingdata analysisdata manipulationdata visualizationdata wranglingdocumentationggplot2project managementstatistical analysistidyverseversion control
Repositories Contributed To
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