Fitbit Data Analysis for User Engagement

This project analyzed Fitbit data from 32 users over 31 days to uncover trends in activity levels, weight tracking adoption, and sleep patterns. Using Power BI and Power Query, the data was cleaned, transformed, and visualized to extract actionable insights.

Key objectives included:

Identifying users utilizing weight tracking.

Assessing activity levels (steps, distance, calories burned, sleep).

Validating daily minute tracking accuracy.

Creating interactive Power BI dashboards for insights.

Challenges like missing data, inconsistencies, and outliers were addressed, ensuring a reliable analysis. The findings provided valuable insights to enhance user engagement and data accuracy.