This project analyzes bikeshare data for a fictional bike-sharing system in multiple cities. It provides insights into ridership patterns, popular stations, and trip duration statistics.
The Bikeshare project consists of Python scripts that allow users to explore bikeshare data interactively. It includes the following files:
bikeshare.py: The main Python script that allows users to interactively explore bikeshare data.README.md: This file provides an overview of the project, instructions for use, and details about the data analysis.
To get started with the Bikeshare project, follow these steps:
- Clone the Repository: Clone this repository to your local machine using the following command: git clone https://github.com/redkahuna/pdsnd_github
- Install Python: Ensure that Python is installed on your machine. You can download Python from python.org.
- Install Required Packages: Install the required Python packages by running the following command: pip install -r requirements.txt
- Run the Script: Run the
bikeshare.pyscript using the following command: python bikeshare.py - Explore the Data: Follow the prompts in the terminal to interactively explore bikeshare data for different cities, time periods, and analysis options.
The bikeshare.py script allows users to:
- Select a city (Chicago, New York City, or Washington) for analysis.
- Filter data by month and day of the week.
- View summary statistics such as popular stations, trip duration, and user demographics.
The Bikeshare project is intended to be used as a tool for analyzing bikeshare data and gaining insights into ridership patterns. Users can explore various aspects of bikeshare usage and generate reports based on their specific queries.
Contributions to the Bikeshare project are welcome! If you have any ideas for improvements, feature requests, or bug fixes, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.