Justice40 Tract-Level Analysis of Socioeconomic and Health Factors

This code can be used to analyse the relationships of various variables covered by the 2022 Justice40 Dataset at a tract level. It focuses on comparing the impact of multiple factors on one field. A random forest model can then be used to evaluate nonlinear relationships between a variety of causes on a target field. Explore how relatively important some factors are compared to others in predicting the prevalence of health conditions. Use the interactive maps to explore how geography impacts socioeconomic factors and health conditions. Use the graph plots to see the types and spread of correlation between different factors.