Note: Please fork the current Udacity repository so that you will have a remote repository in your Github account. Clone the remote repository to your local machine. Later, as a part of the project "Post your Work on Github", you will push your proposed changes to the remote repository in your Github account.

Project Information

This project was created on April 9th 2024. This file was created April 19, 2024 in alignement with the second project in the UDACITY Programming for Data Science Nanodegree Program.

Bikeshare Project- Explore US Bikeshare Data

The Bikeshare project analyzes bikeshare data from several cities to provide insights into bike usage patterns and trends.

Project details

In this project, you will use data provided by Motivate(opens in a new tab), a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC.

Our Datasets

All three of the data files contain the same core six (6) columns:

• Start Time (e.g., 2017-01-01 00:07:57)
• End Time (e.g., 2017-01-01 00:20:53)
• Trip Duration (in seconds - e.g., 776)
• Start Station (e.g., Broadway & Barry Ave)
• End Station (e.g., Sedgwick St & North Ave)
• User Type (Subscriber or Customer)

The Chicago and New York City files also have the following two columns:

• Gender
• Birth Year

Statistics Computed

In this project, I have written code to provide the following information: 1. Popular times of travel

• the most common month
• the most common day of week
• the most common hour of day 2. Popular stations and trip
• the most common start station
• the most common end station
• the most common trip from start to end 3. Trip duration
• the total travel time
• the average travel time 4. User info
• counts of each user type
• counts of each gender (available for only NYC and Chicago)
• earliest, most recent, most common year of birth (available only for NYC and Chicago)

Files required

To answer these questions using Python, I have written a Python script saved as bikeshare.py file, and you will do your scripting in there also. We will need the three city dataset files too:

• chicago.csv
• new_york_city.csv
• washington.csv

Credits

It's important to give proper credit. Add links to any repo that inspired you or blogposts you consulted.