gun violence dataset analysis

Gun Violence Data Analysis Project

Performed comprehensive analysis of U.S. gun violence data to identify trends, hotspots, and risk factors. Responsibilities included:

Cleaning and preprocessing large-scale datasets (handling missing values, standardizing locations, formatting dates).

Conducting exploratory data analysis to uncover patterns in fatalities, injuries, and incident types.

Creating visualizations (bar charts, line plots, heatmaps, geographic maps) to present insights clearly.

Highlighting key trends over time and across regions to support data-driven decision-making.

Optional: applied clustering and predictive modeling to identify high-risk areas and factors.

Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, GeoPandas