Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub
Mar 2026 – Mar 2026
1 Month active
Languages Used
R
Technical Skills
R programmingdata analysisdata cleaningdata manipulationdata visualizationggplot2
Joshua Schlucke
PROFILE
Joshua Schlucke
Contributed to the Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub repository by developing analytics features focused on stock market data and cross-study confidence analysis. Leveraged R and the tidyverse ecosystem to implement robust data cleaning, aggregation, and visualization workflows, including dashboards for tracking hourly market movements and correlations with the S&P 500. Enhanced project reproducibility and onboarding by expanding R Markdown documentation and refining project scaffolding. Introduced spaghetti and violin plots to improve interpretability of cross-study psychological data. Prioritized stability by addressing data normalization issues and refining import processes, resulting in more reliable insights and streamlined collaboration for future contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
19Total
Bugs
0
Commits
19
Features
3
Lines of code
2,368
Activity Months1
Your Network
60 peopleWork History
March 2026
19 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub: Delivered core analytics features for stock market data and cross-study confidence analysis, stabilized data pipelines, and enhanced documentation and scaffolding. Resulted in more reliable insights, improved reproducibility, and faster onboarding for new contributors.
19 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub: Delivered core analytics features for stock market data and cross-study confidence analysis, stabilized data pipelines, and enhanced documentation and scaffolding. Resulted in more reliable insights, improved reproducibility, and faster onboarding for new contributors.
March 2026
Activity
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Quality Metrics
Correctness91.6%
Maintainability89.4%
Architecture89.4%
Performance88.4%
AI Usage22.0%
Skills & Technologies
Programming Languages
R
Technical Skills
R programmingdata analysisdata cleaningdata manipulationdata visualizationggplot2statistical analysisstatistical modelingtidyverse
Repositories Contributed To
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