I thought it would be interesting to calculate and display journey times using Google Directions API and Python. After the journey times for each transport modes have been calculated they can be overlayed on a colour coded map, in this case I am using Singapore as an example. To do this I will query Google Directions API and for each destination calculate the journey time for driving, public transport (MRT or Bus) and cycling. Each destination is colour coded with the transport mode that is the quickest.
Much of the unstructured data that exists today and will be created in the future is image or video data. Instagram, Facebook, CCTV etc. As an example of how to analyze image data this post will explain how to detect vehicles from a CCTV image using a cascade of boosted classifiers based on HAAR like features.