This project involves analyzing trends in foster care placements and Child Protective Services (CPS) reports using a dataset of children in foster care. The analysis includes visualizing trends, exploring placement distributions, and examining geographical disparities. Additionally, a linear regression model is trained to predict the number of children in care based on key variables like admissions, discharges, and CPS reports, with model evaluation metrics provided.