Date created

31 july 2020.

Project Title

Bikesharing

Description

The data is provided by Motivate, which is a bike share system provider for many cities in the United States. The data files for all three cities contain the same six columns:

• Start Time
• End Time
• Trip Duration (in seconds)
• Start Station
• End Station
• User Type (Subscriber or Customer)

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

• Gender
• Birth Year

Questions explored

The script answers the following questions about the bike share data:

• What is the most popular month for start time?
• What is the most popular day of week (Monday, Tuesday, etc.) for start time?
• What is the most popular hour of day for start time?
• What is the total trip duration and average trip duration?
• What is the most popular start station and most popular end station?
• What is the most popular trip?
• What are the counts of each user type?
• What are the counts of gender?
• What are the earliest (i.e. oldest person), most recent (i.e. youngest person), and most popular birth years?

Files used

The project include bikeshare.py: a python file that includes the code The datasets of the three cities:-washington.csv -chicago.csv -newyork.csv

Credits

In this project i used different online resource

https://stackoverflow.com

https://udacity.com