This module will focus on analyzing, displaying and interpreting social determinants of health data, with a particular focus on identifying correlations between social determinants of health. Lesson one will provide an overview of correlation analysis and heat map visualization. In lesson two, we will learn how to calculate the Pearson correlation coefficient and create heatmaps in R. Using the NHANES dataset, we will look at the correlation between income, education, marital status, family savings, depression, insurance, household size, drinks per day, smoker, and body mass index. Using the Omaha System dataset, we will look at the correlation between the social determinants of health signs & symptoms. Finally, we will discuss how to interpret the results of our analysis as we visualize our findings using heatmaps.