A data analysis project based on Kaggle’s Washington State housing dataset, focused on understanding and predicting home prices using variables such as square footage, bathrooms, condition, year built, waterfront, and zip code. The project involved extensive data cleaning, outlier removal, feature engineering, correlation analysis, and regression modeling in SAS, with results showing that location and core housing characteristics were strong drivers of price.