16 May 2020
Explore US Bikeshare Data
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. Analyses the bikeshare data from three cities -- New York, Chicago and Washington. Determines most frequently used stations, displays user stats and determines most frequent travel time.
bikeshare.py new_york_city.csv washington.csv chicago.csv