gato365/stat_331_winter2025_notes
Jan 2025 – Mar 2025
3 Months active
Languages Used
BashMarkdownR
Technical Skills
Data AnalysisData TransformationData VisualizationData WranglingDocumentationGit
gato365
PROFILE
Gato365
Over a three-month period, contributed to the gato365/stat_331_winter2025_notes repository by developing modular R-based analytics materials and tools for a statistics course. Built foundational repository scaffolding, standardized Git workflows, and delivered end-to-end ETL pipelines for US county and NBA datasets using R, dplyr, and web scraping techniques. Enhanced course content with R Markdown tutorials, functional programming modules, and interactive Shiny app examples, supporting hands-on learning and reproducible research. Focused on maintainable code, clear documentation, and onboarding improvements, enabling faster analytics readiness and reducing instructor support needs. No major bugs were reported, reflecting a stable and well-tested codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
5
Lines of code
6,316
Activity Months3
Your Network
3 peopleShared Repositories
3
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for gato365/stat_331_winter2025_notes: Delivered substantial curriculum upgrades for R with data analysis tasks and Shiny introductions, alongside improved documentation. These changes strengthen the analytics learning path, enable hands-on practice with real datasets, and establish a foundation for interactive learning components in future cohorts. Business impact includes faster learner onboarding, greater use of reproducible research practices, and reduced instructor time for material-supported Q&A.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for gato365/stat_331_winter2025_notes: Delivered substantial curriculum upgrades for R with data analysis tasks and Shiny introductions, alongside improved documentation. These changes strengthen the analytics learning path, enable hands-on practice with real datasets, and establish a foundation for interactive learning components in future cohorts. Business impact includes faster learner onboarding, greater use of reproducible research practices, and reduced instructor time for material-supported Q&A.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered an end-to-end ETL toolkit in R for US county populations and NBA statistics within gato365/stat_331_winter2025_notes. Implemented new data extraction, transformation, and analysis capabilities, including web scraping, data joins, pivots, and preprocessing for visualizations. Added learning modules on R programming concepts (conditional statements, iterations, functions) and functional programming with purrr. The work established a modular, reusable codebase that accelerates analytics readiness and supports dashboards. No major bugs reported this month; minor edge-case fixes were addressed as part of pipeline stabilization.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered an end-to-end ETL toolkit in R for US county populations and NBA statistics within gato365/stat_331_winter2025_notes. Implemented new data extraction, transformation, and analysis capabilities, including web scraping, data joins, pivots, and preprocessing for visualizations. Added learning modules on R programming concepts (conditional statements, iterations, functions) and functional programming with purrr. The work established a modular, reusable codebase that accelerates analytics readiness and supports dashboards. No major bugs reported this month; minor edge-case fixes were addressed as part of pipeline stabilization.
January 2025
13 Commits • 3 Features
Jan 1, 2025January 2025 — gato365/stat_331_winter2025_notes: Delivered foundational course repository scaffolding with standardized Git workflow, MTcars data analysis tutorial, and NBA GOAT analytics materials plus MJ case study. No major bugs reported; documentation and onboarding improvements enhanced reproducibility and teaching efficiency.
13 Commits • 3 Features
Jan 1, 2025January 2025 — gato365/stat_331_winter2025_notes: Delivered foundational course repository scaffolding with standardized Git workflow, MTcars data analysis tutorial, and NBA GOAT analytics materials plus MJ case study. No major bugs reported; documentation and onboarding improvements enhanced reproducibility and teaching efficiency.
January 2025
Activity
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Quality Metrics
Correctness91.2%
Maintainability90.0%
Architecture88.8%
Performance86.4%
AI Usage26.2%
Skills & Technologies
Programming Languages
BashMarkdownR
Technical Skills
Data AnalysisData ExtractionData SimulationData TransformationData VisualizationData WranglingDocumentationFunctional ProgrammingGitGit Workflow ManagementProject SetupQuartoR MarkdownR ProgrammingShiny Web Applications
Repositories Contributed To
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