Bellabeat Case Study

This project explores user behavior using Bellabeat smart device data to uncover trends that inform marketing and product strategy.

Project Overview

Bellabeat is a high-tech wellness company focused on women's health. This case study uses data from smart devices to analyze user activity, sleep, and engagement features.

Objectives

• Identify user activity levels and sleep patterns
• Understand intensity zone engagement
• Analyze use of weight tracking features
• Provide actionable insights to inform Bellabeat’s marketing strategy

Tools Used

• R, RMarkdown, tidyverse
• ggplot2 for visualizations
• Figma/PowerPoint for stakeholder slides
• GitHub for version control

Project Structure

Bellabeat_Project/
├── data/
│   ├── raw/               # Raw input files
│   └── processed/         # Cleaned CSVs
├── scripts/               # Data cleaning script
├── plots/                 # Exported PNG plots
├── bellabeat_final_cleaned_analysis.Rmd  # Final analysis
├── Bellabeat_Project.Rproj
├── bellabeat_final_report.pdf            # Stakeholder PDF
├── bellabeat_stakeholder_deck.pdf        # Slide deck (optional)

Deliverables

• Final .Rmd analysis file with visualizations and code
• Presentation deck (stakeholder-ready)
• PDF summary for non-technical stakeholders
• GitHub repository with full code and output

Sources

• Statista Wearables by Gender
• NIH Research on Women's Health Tracking
• PatentPC Wearable Market Trends

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Built by Kent Ward