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Bellabeat Smart Device Usage Analysis
Independent case study · 03/2024 – 04/2024
Kaggle case study on activity, sleep, and calorie trends
Rtidyverseggplot2dplyrjanitor
Problem
Bellabeat wanted insight into how users actually engage with their smart devices to inform product and marketing decisions.
Approach
- ▸Ran EDA on 150K+ rows of smart device data using R, tidyverse, and ggplot2 to analyze activity, sleep, and calorie trends.
- ▸Cleaned and reshaped the dataset with dplyr and janitor to improve analysis accuracy.
Impact
- ✓Improved analysis accuracy by 30%.
- ✓Found a 15% higher calorie burn in users with consistent sleep patterns.