Bellabeat is a small successfull company focusing on fitness trackers for women. They are seeking ways to expand their products and marketshare of the global smart device sector. Here, I provide recomendations, an overview of the data, details of how it was processed, and my analysis.

The goal is to understand usage of non-Bellabeat consumer behaviors with fitness trackers. The results of this analysis will allow our development team and other stakeholders to understand what features to promote, enhance, and further develop. Further there will be recommendations on what features should be included but not prioritized.

Findings and Recommendations

To make full use of the Bellabeats app and helping the users make "healthier" choices, I make the follwoing recommendations

• promotions should focus on the leaf and time devices.
• users are focused on logging activities, calories, and steps.
• sleep and weight logging features are being under utilized
• weight log feature utilization seems to be determined by the users relative weight.
• weight log data points were heavily driven by two users. Possible interest in weight loss may be a factor in reporting
• the daily logs for steps, calories, and activity are all strongly correlated.

My recommendation is to either promote the use of leaf and time devices to better utilize the full features of the app. Long term data is needed to understand the broader usage of the app and devices.

Data Overview & Cleaning

The data was spread across mulitple files which inclded five major areas

• Calories
• Steps
• Activity & Intensity Logs
• Sleep
• Weight

Details, code, and analyses can be found here.