Bikeshare Data Analysis

Date created

January 23, 2025

Project Title

Bikeshare Data Analysis Project

Description

This project is a Python-based analysis tool for exploring bikeshare data from three major U.S. cities: Chicago, New York City, and Washington. The tool allows users to interactively filter data by city, month, and day of the week to analyze patterns in bikeshare usage. The script also provides comprehensive statistics, such as popular travel times, most common stations, trip durations, and user demographics.

Files used

Python Script: bikeshare.py - The main script containing all functions and logic for data analysis. Data Files: chicago.csv new_york_city.csv washington.csv These files contain data for bikeshare usage, including start and end times, trip durations, stations, and user details.

How to Use

Run the script using Python 3:

python bikeshare.py

### Credits
This project was developed as part of a Udacity course on programming for data analysis. The following resources and references were instrumental in the development of this project:

[Udacity Course Materials](https://www.udacity.com/)
[Pandas Documentation](https://pandas.pydata.org/)
[NumPy Documentation](https://numpy.org/)