Many cities offer bicycles people can rent for short trips and many people use it every day. As a result, by knowing when and where people use them, we may infer…
The following notebook describes how the data was obtained and preprocessed to build the examples introduced above.
We know how people use bicycles. People, people… it is us. What do I know about myself I could use to explore the data and determines living and working areas of Chicago?
The data can be seen in many ways.
A solution including clustering¶
The first notebook only clusters on arrival time. The second one clusters on bith arrival and starting time.
Other sources of data¶
Chicago has one of the richest open data portal. Here are some others sources of data: