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.

Author

Zachary Nickerson (nickerson@battelleecology.org)

Date created

2023-08-29

Project Title

Udacity Python Final Project

Description

For the final project in the Python section of Udacity's Programming for Data Science with Python nanodegree, the bikeshare.py script was developed to provide an interactive user experience that provides summary statistics of a bikshare company in three major cities in the United States (Chicago, New York City, Washington D.C.). The user can select one city at a time on which to run analyses. First, the user is prompted to subset the data set by month or day of week, if desired. The subsetted data set is then summarized to provide the following information and statistics:

1. Month with the most rentals (if applicable)
2. Day of week with the most rentals (if applicable)
3. Hour with most rentals
4. Most common start station
5. Most common end station
6. Most common trip by start and end station
7. Total travel time for entire data set (hours)
8. Average trip duration (minutes)
9. Number of users by user type
10. Number of users by gender
11. Earliest year of birth for all users
12. Most recent year of birth for all users
13. Most common year of birth for all users

Files used

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

Credits

None to report.