Behavioral Risk Factor Surveillance System
Impact of Socioeconomic Factors on Home Ownership and Safety Practices
R, RMarkdown, ggplot2, tidyverse, HTML, CSS
The Behavioral Risk Factor Surveillance System (BRFSS) is a data set from an observational study conducted in 2013 by the CDC in all 50 US states and the District of Columbia, Puerto Rico, and Guam. The purpose of this study was to retrieve state-specific data on preventative health practices and risk behaviors from approximately 490,000 randomly selected individuals that reside in private residences or college housing. The survey was conducted with stratified random sampling from all participating districts.
Research Questions:
- What are the probabilities of owning or renting a home given an individual’s income level and education level?
- How do property values influence home ownership or renter status among each US State?
- What is the correlation between individuals who claim to “always” wear seat belts and their states’ vehicle fatality rates?
Process:
Collected and processed data from the BRFSS dataset. Conducted exploratory data analysis (EDA) and performed correlation analysis to uncover relationships between variables. Utilized conditional probabilities and Bayes’ Theorem to answer research questions such as the probabilities of home ownership given income and education levels, the influence of property values on home ownership, and the correlation between seat belt usage and vehicle fatality rates. Developed an HTML report using RMarkdown to present the findings with detailed visualizations and analysis.
Full Analysis HTML View Project on GitHub