This report analyzes Fitbit data to explore patterns in daily activity and sleep. Key insights reveal variation in steps, sedentary time, and sleep duration, highlighting opportunities for targeted engagement and product strategy.

This document is part of my data analytics portfolio and was created for practice purposes based on the Google Data Analytics Capstone Project: Cyclistic Bike-Share Case Study. The goal is to demonstrate the end-to-end data analysis process (Ask, Prepare, Process, Analyze, Share, Act) and to showcase skills in R, Quarto, data visualization, and storytelling with data.