After preprocessing the dataset, I moved on to exploratory visualizations. I created cumulative distribution function (CDF) plots to examine age differences across racial groups. These plots quickly revealed noticeable age gaps—Black victims appeared significantly younger compared to White victims. Using Seaborn and Pandas, I built several plots that confirmed these visual trends. I also began examining other factors like fleeing status and whether the individual was armed. The visuals raised new questions about systemic bias and how age may play a role in police decision-making. These insights helped me shape the direction of my statistical testing. I saved snapshots of these plots and added them to the final report draft.