I just wrapped up a Python project analyzing anonymized sleep data from SleepInc’s new app, SleepScope, and it was one of the most interesting datasets I’ve worked with yet 😴📊 Using six months of lifestyle averages for 374 users, I explored how exercise habits, gender, occupation, stress levels, and sleep disorders relate to sleep quality. This project was a great mix of:
✨ Data wrangling with pandas
✨ Exploratory visualizations
✨ Identifying key patterns in what helps or harms sleep
✨ Turning real-world behavioral data into actionable insights
It’s always fun digging into datasets that actually connect to daily life — and sleep is one of the most important (and underrated!) pillars of health.