9 Laura Rose Werner
9.1 About the Author
Laura is a graduate student at Brooklyn College whose work reflects a strong emphasis on reproducible research, statistical reasoning, and professional data communication. Her portfolio is designed not just as a collection of assignments, but as a polished analytical artifact suitable for academic and professional audiences.
9.2 Learning Journey
This portfolio presents a series of applied data analyses developed using Quarto. Across chapters, Laura works with diverse real-world datasets, including crime data, civic complaints, demographic indicators, sports analytics, and behavioral data.
Each project follows a consistent analytical workflow: - Data cleaning and preparation
- Visualization and exploration
- Statistical testing or modeling
- Clear interpretation of results
Her work demonstrates the ability to move systematically from raw data to meaningful, well-communicated insights.
9.3 Reflection & Growth
A defining feature of Laura’s work is her transition from assignment-based analysis to intentional, structured communication. This portfolio represents an evolution from an earlier Bookdown project into a refined Quarto-based publication.
Rather than simply completing analyses, she focused on improving: - clarity of interpretation
- organization of code and outputs
- reproducibility of results
- overall presentation and readability
This shift reflects a deeper understanding of what it means to produce high-quality analytical work.
9.4 Strengths & Achievements
Laura’s portfolio stands out for its breadth of applied analyses and its consistency in execution. Projects include:
- NYC crime and shooting analyses
- NYC 311 complaint data with interactive Shiny components
- Income prediction using regression models
- Streaming behavior using chi-square analysis
- Sports analytics using NBA data
Across all projects, she demonstrates the ability to produce publication-quality tables and visualizations while maintaining fully reproducible workflows.
9.5 Key Takeaways
- Developed strong reproducible workflows using Quarto
- Strengthened statistical reasoning and interpretation
- Built experience across multiple domains and datasets
- Improved clarity and professionalism in analytical communication
- Created a portfolio suitable for academic and professional review
9.6 What This Portfolio Demonstrates
Laura’s work highlights the ability to go beyond running statistical tests and instead focus on communicating meaningful, well-supported insights. Her portfolio emphasizes transparency, structure, and reproducibility—key components of modern data analysis and research.
“This portfolio demonstrates my ability to move beyond running statistical tests and toward communicating meaningful insights in a structured, reproducible way.”