This project was completed as part of the Google Data Analytics Professional Certificate. The goal is to analyze Fitbit smart device usage data and provide insights and strategic recommendations to Bellabeat, a high-tech company that manufactures health-focused smart products for women.

• Understand daily activity patterns, sleep behavior, and heart rate trends among users
• Identify opportunities for Bellabeat to enhance app engagement and health tracking
• Showcase real-world data cleaning, analysis, and visualization using R

• Sourced from: FitBit Fitness Tracker Data on Kaggle
• Includes data from 30 Fitbit users over 31 days (March-April 2016)
• Files used:
  • dailyActivity_merged.csv
  • sleepDay_merged.csv
  • heartrate_seconds_merged.csv

• R, RStudio
• tidyverse, lubridate, ggplot2
• R Markdown for full analysis and report

• Bellabeat_Case_Study_Analysis.Rmd — Reproducible R Markdown analysis
• Bellabeat_Case_Study_Final_Report.docx — Written business report with recommendations
• Bellabeat_Visual_Dashboard.html — HTML dashboard with all plots
• merged_data.RData — Cleaned dataset used in analysis

• Average steps per day: 9,891
• Most active days: Saturday and Thursday
• Positive correlation between steps and calories burned
• Sleep efficiency is consistent; longer sleep ≠ higher activity
• Heart rate increases on more active days, but trends vary

• Promote daily step goals and challenges in the Bellabeat app
• Introduce smart sleep insights based on consistency
• Personalize workout suggestions using heart rate trends
• Encourage reflection with weekly summaries and comparisons

1. Clone this repo or download the .Rmd file
2. Place the original CSVs in your working directory
3. Run the full R Markdown or load merged_data.RData
4. Knit the Rmd to HTML or PDF

install.packages(c("tidyverse", "lubridate", "ggplot2", "gridExtra"))
load("merged_data.RData")
rmarkdown::render("Bellabeat_Case_Study_Analysis.Rmd")

• Arash, N. (2016). FitBit Fitness Tracker Data. Kaggle. Retrieved from: https://www.kaggle.com/datasets/arashnic/fitbit

• Google. (2021). Google Data Analytics Professional Certificate. Coursera. Retrieved from: https://www.coursera.org/professional-certificates/google-data-analytics

📬 Let’s connect! If you're reviewing this project on GitHub or Kaggle, feel free to leave feedback or suggestions.