Project created on Mar 3, 2019

Python Bikeshare Project with Version Control

Bikeshare data from US 3 cities is analyzed to understand usage patterns and statistics. Users are asked to choose:

• A city to analyze
• A month to review (or stick with all months)
• A day to review (or stick with all days)

The program then outputs interesting statistics, such as:

• The most frequent times of travel
• The most commonly used station
• Statistics about the users utilizing the service

• bikeshare.py
• chicago.csv
• new_york_city.csv
• washington.csv

Created by Bryan Rapati as part of Udacity's Programming for Data Science Project