Bikeshare Data Analysis Project

This project is part of Udacity's Programming for Data Science with Python Nanodegree.

The goal of this project is to explore data from three major US bike-share systems:

• New York City
• Chicago
• Washington

The script bikeshare.py allows users to:

• Filter data by city, month, and day
• Calculate statistics such as:
  • Most popular travel times
  • Most commonly used stations
  • Trip durations
  • User demographics

---

📅 Date Created

November 2025

---

Project Files

File	Description
bikeshare.py	Main analysis script

| .gitignore | Specifies files to be ignored by Git |

---

How to Run the Program

Run the script using:

python bikeshare.py
Follow the on-screen instructions to filter and explore the dataset.

Project Purpose
This project was created to practice:

Git and GitHub workflows

Branching and merging

Writing documentation

Code refactoring

Data analysis with Python

Author
Created by Doua Nemier
Part of the Udacity Programming for Data Science with Python Nanodegree.