Note: Please fork the current Udacity repository so that you will have a remote repository in your Github account. Clone the remote repository to your local machine. Later, as a part of the project "Post your Work on Github", you will push your proposed changes to the remote repository in your Github account.

Date Created

October 9, 2024

Project Title

Bike Share Data Analysis

Description

This project utilizes Python to analyze bike share data from three major cities in the United States: Chicago, New York City, and Washington. The goal is to explore the data and answer various questions by calculating descriptive statistics. Users will interact with a terminal-based script that allows them to input parameters and receive insights about bike share usage in these cities.

Features

• Data Exploration: Load and explore bike share datasets from Chicago, New York City, and Washington.
• Descriptive Statistics: Calculate and display statistics such as trip duration, most popular start and end stations, and user demographics.
• Interactive User Experience: A terminal-based interface for users to input their preferences and get customized statistics.
• City-Specific Analysis: Ability to analyze data for each city individually or compare statistics across cities.
• Error Handling: Manage user input errors to ensure a smooth experience.

Files Used

• chicago.csv: Contains bike share data for Chicago.
• new_york_city.csv: Contains bike share data for New York City.
• washington.csv: Contains bike share data for Washington.
• bikeshare.py: The main Python script for data analysis and user interaction.

Credits

This project was inspired by resources from Udacity. Additional resources include:

• Pandas Documentation
• NumPy Documentation
• Various blog posts and tutorials related to Python data analysis.