Dataset: Bank Marketing Background: I chose this dataset in order to analyze the probabilistic relationship between education levels, housing, and loans. Goals: I hope to better understand consumer behavior in terms of financial decisions and education level. Methods: In order to achieve my goal, I utilized Spyder software to create various cross-tabulations and probabilistic calculations. […]

Data Set: Predicting Heart Disease Using Clinical Variables Background: I chose this data set in order to analyze different clinical variables and how they pertain to heart disease. This data contains categories such as age, sex, cholesterol levels, blood pressure, and the classification of the individual’s chest pain. Goal: I chose this data set in […]

Data Set: Credit Card Offer Acceptance Trends in Banking Background: I chose this data set in order to analyze consumer behavior pertaining to personal finances. This data contains information such as consumer income level, number of credit cards, number of homes, and their bank account balances that allow one to gain insight into consumer preferences […]