How Data Visualization Can Help Correlate Diabetes And Income

Is diabetes linked to wealth? Is it the new rich man's disease? Would work from home contribute to the rise in people with diabetes given the sedentary lifestyle amidst lockdowns? This analysis aims to dispel some common myths in the understanding distribution of diabetes among the common populace. It takes a partly economic and partly demographic approach towards finding important geographical centers for diabetes in terms of the total count, racial profile and income status, and its impact on diabetes count by counties in the USA. To analyze the relationship between different variables (income, racial profile by county) to diabetes in the USA and identify factors that most contribute to diabetes.