The Bikeshare Project was made for Udacity's Programming for Data Science Nanodegree in Oct 2018. The readme file was created 11/4/18 as part of a new project for Udacity.
This Project analyzes raw data from Motivate, a bike-share system provider. It pulls data from three CSV files and provides the following stats:
- Popular times of Travel
- Most common month
- Most common day of weekday
- Most common hour of day
- Popular Stations and Trip
- Most common end station
- Most common start station
- Most common trip from start to end
- Trip Duration
- Total travel time
- Average travel time
- User info
- Counts of each user type
- Counts of each gender
- Earliest, most recent, most common year of birth (only available for NYC and Chicago)
The Project also prompts the user to choose from the following options to filter the raw data:
- Would you like to see data for Chicago, New York or Washington?
- Would you like to filter the data by month, day or not at all?
- (If they choose month)Which month - January, February, March, April, May or June?
- (If they choose day)Which day - Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, or Sunday?
The script also anticipates user error and at the end prompts the user if they would like to"
- See the draw data at five chunks at a time
- Restart the Program
Bikeshare.py Chicago.CSV Washington.CSV new_york_city.CSV readme.md
Motivate Motivate provided the raw data for this Project
Udacity Udacity provided guidelines and templates for the project code