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
Immanuel Williams developed and maintained the gato365/stat_331_winter2025_notes repository over three months, delivering a modular R-based analytics curriculum for data science education. He built end-to-end ETL pipelines for US county and NBA statistics, integrating web scraping, data transformation with dplyr, and visualization using ggplot2. Immanuel introduced hands-on R Markdown tutorials, functional programming modules, and interactive Shiny app examples to support reproducible research and self-guided learning. His technical approach emphasized maintainable code, clear documentation, and standardized Git workflows, resulting in stable, reusable course materials. No major bugs were reported, reflecting careful implementation and a focus on onboarding and instructional efficiency.
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline