analyzing taxi trip data of New York city

The taxi trip data should be analyzed. Temporal and geospatial data should be analyzed. The project is to investigate the relationship between the borough in which a driver drops his passenger off and the amount of time it takes to acquire another fare. The main aim is to build an application that could recommend the best place for a cab to go after a dropoff, based on the current traffic patterns and the historical record of next-best locations that is contained within this data. You could also look at the information from the perspective of someone trying to catch a cab: given the current time, place, and weather data, what is the probability that I will be able to hail a cab from the street within the next five minutes? This sort of information could be incorporated into applications like Google Maps to help travelers decide when to leave and which travel option they should take. The code is available at [login to view URL] In the following uploaded file chapter 8 can be used for reference.