Getting a Good Night's Sleep: Analyzing Sleep Data for Better Health

Sleep is essential for both physical and mental health. In this project, I analyzed anonymous sleep data from a sleep-tracking app to uncover insights into lifestyle factors affecting sleep quality and duration.

Key Tasks Performed:

- Identified occupations with the lowest sleep duration and quality.

- Explored the relationship between BMI categories and sleep disorders like insomnia.

- Created visualizations to communicate findings effectively.

Tools Used: Python, Pandas, Matplotlib, Seaborn