This repository contains an analysis of Divvy bike share data. The analysis includes data cleaning, exploratory data analysis, and visualization to uncover insights about bike usage patterns.
The goal of this project is to analyze Divvy bike share data to understand usage patterns, identify trends, and provide actionable insights. The analysis covers various aspects such as ride types, user categories, ride lengths, and popular stations.
The data used in this project is sourced from the Divvy bike share system. The dataset includes information about individual rides, such as start and end times, start and end stations, rideable types, and user types.
To run the analysis, you need to have R and RStudio installed on your machine. Additionally, you need to install the required R packages.
install.packages(c("tidyverse", "ggplot2", "dplyr", "lubridate"))- Clone the repository:
git clone https://github.com/SadeekFarhan21/Divvy_Bike_Analysis.git
- Open the project in RStudio.
- Run the analysis scripts to generate the visualizations and insights.
Contributions are welcome! If you have any suggestions or improvements, please create a pull request or open an issue.
This project is licensed under the MIT License.