This case study analyzes Fitbit data to understand user engagement patterns through daily activity, sleep behavior, and step tracking. Using R and tidyverse tools, the analysis explores temporal patterns in activity, sleep, and segments users based on their consistency in tracking sleep and steps. The findings offer actionable insights for Bellabeat's marketing and product strategy, helping to tailor engagement approaches to different user profiles.

This is the capstone case study for Google Data Analytics Professional certificate.