US Bikeshare Datasets Explorer

24/04/2025

🚲 US Bike Share Data Analysis Project

This project explores data from the US bike share systems in Chicago, New York City, and Washington, D.C. using Python. It was completed as part of the Data Science learning path to demonstrate data analysis skills using pandas, NumPy, and basic Python programming.

📊 Project Summary

The goal is to analyze usage patterns of bike-sharing services in three major cities and extract insights such as:

• Most common travel times
• Most popular stations
• Average trip duration
• User demographics and types

This project involves loading CSV data, applying filters (by city, month, and day), and calculating statistical summaries.

📁 Dataset

The data used in this project was provided by Udacity. It contains real-time and historical trip data for:

• Chicago
• New York City
• Washington

Each CSV file includes fields like:

• Start Time, End Time
• Trip Duration
• Start and End Station
• User Type, Gender, Birth Year

🧪 Features

• Interactive script to choose city, month, and day
• Calculates:
  • Most frequent times of travel
  • Most popular stations and trips
  • Total and average trip duration
  • User statistics (types, gender, birth year)
• Clean and readable modular code
• Robust input validation

📦 Technologies Used

• Python 3.13
• pandas
• NumPy
• datetime
• OS

🚀 How to Run

1. Clone the repo:

   git clone https://github.com/alsharabaty/pdsnd_github
   cd us_bikeshare.py
   
   

Files used

us_bikeshare.py

Credits

Udacity Repo