Data Analysis Portfolio

1 Welcome

This Quarto Book presents a collection of applied data analyses completed as part of my graduate coursework. Each chapter demonstrates statistical reasoning, data cleaning, visualization, and reproducible analytical workflows.

The purpose of this portfolio is to showcase:

• Reproducible data workflows
  
• Clear statistical interpretation
  
• Publication-quality tables and figures
  
• Thoughtful communication of results

1.1 Chapters Included

• NYPD Shooting Analysis – Examines temporal and geographic crime patterns in New York City.
• Lawfirm Analysis – Analyzes NYC parking and speed camera violations.
• Sleep & Exercise Study – Demonstrates data cleaning, ANOVA, and post-hoc comparisons.
• Basketball Statistics – Explores NBA player performance using 2024–2025 season team totals.
• Florida Crime Analysis – Uses correlation and regression to examine county-level crime.
• Streaming Preferences – Applies Chi-Square analysis and residual diagnostics.
• Wage Predictors – Uses classical statistical testing and logistic regression to model income category.
• NYC 311 Complaints – Analyzes civic complaints and includes an interactive Shiny dashboard.

Important

All analyses are fully reproducible using Quarto. Code, tables, figures, and statistical outputs are integrated directly into this book to ensure transparency and replicability.

1.2 About This Portfolio

This project reflects a transition from Bookdown to Quarto and demonstrates modern reproducible publishing workflows. It is designed as a professional portfolio artifact suitable for academic, research, and professional review.