Explore US BikeShare Data

In this project, we are making use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.

The Project Features The Following

• Interactive Questions Based on User Inputs
• Different Descriptive Statistics About Selected Cities

Built With

• Python
• Pandas
• Numpy
• Time
• IDE (Visual Studio)

Program Final Output

Based on User Input the program will output different descriptive statistics this includes but not limited to:

• Most Popular Month
• Most Popular Day
• Most Popular Hour
• Most Common Start Station
• Most Common End Station
• Most Common Start-to-End Stations
• Total & Average Trip Duration
• Statistics About Users Type
• Statistics About Users Gender & Birth Date

How To Run The Project

1- Clone The Repository

git clone Project Repository

2- Change Directoy to Project Location

❯ cd Explore-US-Bikeshare-Data

3- Install Required Libraries in your IDE

❯ pip install numpy

❯ pip install pandas

3- Run The Code

❯ python bikeshare.py

Author

Mohammed Samir

• Github

• LinkedIn

This Project is Part of Udacity Programming For Data Science NanoDegree Using Python