This repository contains a comprehensive case study of Bellabeat, a fictional wellness company, performed using the R programming language. The case study focuses on analyzing user data and providing insights into user behavior and engagement with Bellabeat products.
In this project, we explore a dataset provided by Bellabeat, which includes various user metrics such as activity levels, sleep patterns, and calories burnt. Leveraging the power of R and its diverse libraries, we conduct a thorough analysis to gain valuable insights into user behaviors and preferences.
Data exploration and preprocessing: We examine the Bellabeat dataset, perform data cleaning, data manipulation, and transform the data into a suitable format for analysis.
Exploratory data analysis: We conduct in-depth exploratory analysis to uncover patterns, trends, and relationships within the dataset. We visualize the data using graphs, charts, and statistical summaries to gain a comprehensive understanding of user behaviors.
Visualization and storytelling: We create compelling visualizations and data-driven narratives to communicate our findings effectively, enabling stakeholders to make informed decisions.
By exploring this case study, you will gain hands-on experience with data analysis using R, as well as develop a deep understanding of user behavior analysis and its implications for a wellness company like Bellabeat.
Feel free to explore the code, documentation, and visualizations provided in this repository. Your feedback and contributions are highly appreciated!