Project Overview This project aims to analyze trends, correlations, and patterns in mass shooting incidents across the U.S. By studying variables like time, location, demographics, motivations, and weapon details, our goal is to uncover actionable insights that can inform public safety measures and policy-making.
We use four key datasets to conduct the analysis:
Incidents Dataset
Contains details like date, location, casualties, and weapons used in each incident.
Offenders Dataset
Includes demographic data, legal outcomes, and other attributes related to the offenders.
Victims Dataset
Provides demographic details of victims and their relationships with shooters.
Weapons Dataset
Details weapon types, gun classes, and acquisition methods. All datasets are integrated using a common identifier, incident_id, to ensure consistency across analyses.
We will use statistical and visual analysis to answer the research questions. Key steps include:
Data Preprocessing
Cleaning and organizing datasets, handling missing values, and merging them using incident_id.
Analysis Techniques
Time series analysis for temporal trends. Correlation analysis to explore relationships between variables. Heatmaps and geographic maps to visualize location-based patterns.
Visualization Tools
Charts and plots for patterns and trends (e.g., line charts, density plots). Geographic and heatmaps for spatial analysis.