https://rpubs.com/Steppyb1313/EconomicDistressAndViolence
Economic Distress and Violence Analysis This project investigates the geospatial relationship between economic instability and violent crime rates across the U.S. during the Great Recession era. By combining labor statistics (USDA), crime reports (FBI), and spatial boundaries (Census), I performed an exploratory data analysis to determine if unemployment serves as a leading indicator for violence.
Key Findings:
Weak Correlation: A Pearson coefficient of R=0.19 indicates that unemployment is not a reliable sole predictor of crime at the state level.
Regional Dominance: Spatial visualization revealed that regional clusters (specifically in the South and West Coast) consistently overpowered temporary economic signals.
Temporal Lag: Crime rates did not spike immediately with the 2010 unemployment crisis; instead, they followed a long-term downward trend with only a minor, delayed variance.
Methodology: Data cleaning in R (dplyr), interactive geospatial mapping (Leaflet), and statistical correlation analysis.