preprocessed sleep health and lifestyle analysis dataset

The Sleep Health and Lifestyle dataset captures information about individuals’ sleep patterns, health metrics, and lifestyle factors. It has been preprocessed to remove duplicates, handle missing values, treat outliers, encode categorical variables, and scale numeric features. Purpose: To analyze how lifestyle factors affect sleep quality. To build predictive models for sleep quality. To provide insights for improving sleep health