A formal statistical research paper using Python for data import, cleaning, analysis, and visualization export. Analyzed more than 25,000 service requests exploring neighborhood income patterns, statistical limits, and the ethics of interpreting civic data.
ROLE / Context
Statistical researcher and programmer
Individual course project
DISCIPLINE
Quantitative Research
TIMELINE
Mar – Apr 2026
TOOLS / Topics
Python · Google Docs
Data cleaning, statistical testing, statistical writing
Libraries: pandas, numpy, matplotlib, seaborn, stats
API calls, SQL
American Community Survey data, Western Pennsylvania Regional Data Center data (WPRDC), merging datasets
Data exploration and descriptive statistics, Kruskall-Wallis testing
Heatmaps, grouped bar charts, bar charts