This was literally the first project that I have ever made, This is from Udacity's Python Nano degree Program. The data set consists of the bike sharing data for the big cities of United States, as it was my first project. I have done a very basic solution for it.
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 for short trips, typically 30 minutes or less. With the latest 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. The data consists of BikeShare information for three large cities in the US - New York City, Chicago, and Washington, DC.
Sample Data
'tripduration', '839' 'starttime', '1/1/2016 00:09:55' 'stoptime', '1/1/2016 00:23:54' 'start station id', '532' 'start station name', 'S 5 Pl & S 4 St' 'start station latitude', '40.710451' 'start station longitude', '-73.960876' 'end station id', '401' 'end station name', 'Allen St & Rivington St' 'end station latitude', '40.72019576' 'end station longitude', '-73.98997825' 'bikeid', '17109' 'usertype', 'Customer' 'birth year', '' 'gender', '0' Acknowledgements Thanks to Udacity for the data.
This data set can be a very good inspirations for not only new users but experienced veterans who wants to explore more insights.