Sleep & Lifestyle Study

Description:

This dataset provide insighs into sleep health by combine lifestyle, health, and behavior variable. It includes feature such as age, gender, sleep duration, quality of sleep, physical activity level, stress level, BMI category, heart rate, and daily steps.

It is suitable for:

Exploratory Data Analysis (EDA)

Data visualization and pattern discovery

Correlation and trend analysis

Machine learning models for prediction (e.g., sleep disorders)

The dataset can help uncover how lifestyle choices influence sleep quality and identify potential factors contributing to sleep-related issues.