Date created: April 2025
Course: Programming for Data Science with Python - Udacity

BikeShare Data Analysis

This project is part of the "Programming for Data Science with Python" Nanodegree by Udacity.
It allows users to interactively explore US bikeshare data for three cities: Chicago, New York City, and Washington.

The program enables:

• Filtering data by city, month, and day
• Viewing statistics on travel times, stations, trip durations, and user demographics
• Displaying raw data in chunks for deeper analysis

• bikeshare.py: The main Python file containing all the logic for data loading, filtering, and analysis
• chicago.csv, new_york_city.csv, washington.csv: Datasets used for the analysis (provided by Udacity)

Developed as part of Udacity’s Data Science Nanodegree.
Thanks to Udacity for providing the datasets and project structure.