With the popularity of wear devices, huge amount of physical-/lifestyle-related data can be easily and continuously collected. An exploration on these data will be helpful for monitoring physical conditions and understanding lifestyle patterns of the users so that personalised approaches can be developed to boost fitness. This analysis is performed based on Kaggle FitBit Fitness Tracker Data with goals of:
- understanding users’ lifestyle and Fitbit usage habit
- examing whether longer physical activity can increase sleep time
Report is presented in "Fitbit challenge.pdf" and can also be found via Kaggle Notebook
Python, PowerBI