This project analyzes smart device fitness data to gather insights for Bellabeat, a high-tech company that manufactures health-focused smart products for women. The goal is to identify usage trends in smart device data that can help guide Bellabeat's marketing strategy.
- Python, Pandas, Matplotlib, NumPy
Analyze smart device usage from FitBit users to discover trends in activity, sleep, and wellness habits. Apply these insights to help Bellabeat understand how consumers enage with health-tracking devices. Apply these insights to help Bellabeat improve marketing strategies for the Leaf wellness tracker.
The raw data is from this kaggle dataset. The data used in the case study is in long format, loaded and combined into several dataframes.
- Loaded and combined CSVs into pandas DataFrames.
- Converted timestamps data from objects to datetime format
- Analyzed trends in user activity