Bellabeat Case Study

Context

Bellabeat is a tech-driven companany that creates fashionable wellness products for women. Giving women the tools they need to take data driven actions to become the best version of themselves.
Urška Sršen: Bellabeat’s cofounder and Chief Creative Officer
Sando Mur Bellabeat’s cofounder; key member of the Bellabeat executive team

The Project is to analyze smart device usage of non Bellabeat consumers to gain insight of their usage and then apply that insight to a Bellabeat product. Data from the Fitbit dataset will be used to analyze.

Content

FitBit Fitness Tracker Data (CC0: Public Domain, dataset made available through Mobius): This Kaggle data set contains personal fitness tracker from thirty Fitbit users. Thirty eligible Fitbit users consented to the submission personal tracker data, including minute-level output for physical activity, heart rate, and sleep monitoring. It includes information about daily activity, steps, and heart rate that can be used to explore users’ habits.

Notes: setting up my R environment by loading the 'tidyverse' package and importing the Fitbit Fitness Tracker data from the Kaggle site.

Acknowledgements

Thank to Mobius, Fitbit and the Bellabeat
Photo by Emma Simpson on Unsplash

Inspiration

Questions to be answered:

1. What are some trends in smart device usage?
2. How could these trends apply to Bellabeat customers?
3. How could these trends help influence Bellabeat marketing strategy?

The Fitbit Tracker dataset does not does not have gender variable. This could be a concern since Bellabeat's consumer are women. Consequently, focus will be on activity and sleep.