leyankoh / bike-trips

Exploratory analysis of bike trip data provided by DivvyBikes

Goals

• Do exploratory data analysis of Divvy Bikes data in Chicago
• Try to draw a network map between each bike station to see journey flow
• Check journey flow according to time periods - Morning, Afternoon, Evening
• This will give an insight as to when and where people are travelling, which could potentially be very interesting

To-do

• Try to make origin-destination network map of journeys to and from each bike station (DONE)
• For each OD pair, make weights based on the number of journeys that take place for that pair (DONE)
• Carry out exploratory analysis - user gender to trip times, routes with the highest number of journeys, subscriber status to number of trips etc
• Can unsupervised learning be used to cluster groups of bike users - i.e. hobby cyclist, daily commute etc.

Done

• The following is a graph map I have made using the origin-destinations presented in the data