eLearning Challenge - Data Consolidation by Ryan Tan Zheng Ning (20)

The profile of the commuters during on a typical Friday, between 11.00 am to 12.30 pm. is: Elderly,Youths and Aunties.
Some of the challenges I faced would be when I could not find the estimated arrival time for some buses and when I thought I might have missed a bus.
Some ways to improve would to be more attentive when counting the buses.


  1. A comprehensive set of data collected :)

    Pretty interesting profile of people boarding some of the buses, based on the table you have. Are we able to make some inferences of where these people are likely going to? Indeed, based on the profile, we could also make some inference of the make-up of the residents at this area or some of the nearby facilities, too.

    In some instances, the wait time you indicated were negative. How would you account for that?

  2. The bus was early and ahead of time. Te bus stop was near a mall called west mall and there is an arcade and supermarket there.