It was the sixth day of advanced mathematical and statistics class. Today, my groupmate Ahmed and I worked on analysing the fatal police shootings dataset. We cleaned and preprocessed the data, ensuring the correct classification of race, gender, and body camera usage. Together, we formulated key research questions and planned statistical comparisons and visualizations to highlight important patterns.

I focused on conducting statistical tests like chi-square and correlation analysis to identify significant relationships between variables, while Ahmed worked on descriptive statistics and population normalization. I also handled the Python scripting for statistical tests, whereas Ahmed wrote the data visualization scripts. We both debugged the code to ensure accuracy and reproducibility.

For the report, I wrote about mental health factors, circumstances of shootings, and body camera usage trends in the Findings section, while Ahmed covered racial disparities, age/gender analysis, and per capita rates. I also structured the Methodology (Appendix A) for clarity, and together, we worked on the Discussion section, summarizing key insights and policy recommendations.