Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day.
Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used.
In this project, you will use data provided by Motivate, 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.
For the installation of US Bikeshare Data Analysis Program
git clone https://github.com/manojvermamv/US-Bikeshare-Data-Analysis.git cd US-Bikeshare-Data-Analysis sudo pip3 install -r requirements.txt sudo python3 bikeshare.py
https://www.kaggle.com/zhangluyuan/us-bikeshare-data