eLearning Challenge - Data Consolidation by Ding Nina LIn (2)







Based on your observation, what is the profile of the commuters during on a typical Friday, between 11.00 am to 12.30 pm?
The profile of the commuters were senior citizens, Students and working and non-working adults.

What challenges did you faced during the data collection period?
I faced challenges like being unable to find my camera, unable to guess whether the adults were working or not because they were all wearing very casual clothes except a few. I also faced challenges like being unable to count the total number of people boarding the buses because at many times, many buses came at once.




If you were given a 2nd chance to capture data again, suggest at least ONE way to improve the process.


If I were given a 2nd chance to capture data again, I would be clearer and look out for the profile of the commuters more carefully. I would also estimate the number of people boarding the buses instead of counting them one-by-one.

1 comment:

  1. A very comprehensive set of data was collected.

    In fact, it was quite interesting that you are able to 'differentiate' if the adult was heading for work or not. Observant :)
    In the table, under profile, you have indicated some as "senior citizens", some are elderly. What's the distinguishing difference?

    It seems like the location is quite well populated (inferred from your profile description). We could probably make more inference on the facilities around the vicnity, too :)

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