Wearable Health Data: Steps, Heart Rate, HRV & Sleep Analysis

What you'll build

What you will be able to do

Each lab ends with a concrete result that you build yourself and the checker confirms, cell by cell.

• Summarise Maya's September step counts: the average, the days she hit 8,000 steps and her longest goal streak with a running counter.
• Roll eight weeks of daily steps up into weekly averages, compute the week-over-week change, fit a trend and chart it.
• Smooth Maya's daily resting heart rate with a 7-day rolling average, set a personal baseline and count the days that stand out.
• Turn Maya's max heart rate into zone limits, label every minute of an interval run with its zone and add up the time spent in each zone.
• Calculate RMSSD from a one-minute RR-interval reading, then compare three weeks of morning HRV with a rolling 7-day baseline and flag unusual days.
• Calculate Maya's time in bed across midnight, her sleep efficiency, her average sleep and the nights below a 7-hour target.
• Measure how regular Maya's bedtimes are and how far her sleep shifts on free days (social jetlag).
• Put three weeks of Maya's data together and measure how strongly last night's sleep goes with the next day's HRV and steps, then draw the scatter plot.