Project 1: Week 4

Project One: Week 4 Feedback

My notes on the feedback I received:

  • Look into trend forecasting to see if this observation relates to how a trend forecaster works. Do they look to see what in unseen? Where the gaps are? Or do they look to see what a specific group is doing or not doing?
  • Keep the observation going but get into even smaller niches, i.e. how does this type of bar, or nightclub, or coffeeshop, university, of more niche origin compare to others?
  • Split the data by men and women, by age, by season.
  • Retake data at different times of the year, i.e. would summer be brighter?
  • Try to find old street footage to see how decades compare.
  • This is an open-ended investigation that you could continue to collect data on forever.

My thoughts on the feedback:

The tips on further data tracking, to go deeper into tribes and spaces that are more likely to have a specific look, would be an improvement on the specificity of data collection. I didn’t keep track of age or gender in this project because it was purely observational and I don’t feel comfortable assuming what age and gender the passersby are- but I understand it could add greater knowledge to the data. Perhaps there is a version of this data collection that involves the community and people could volunteer that information for themselves. And as we talked about this data collection is entirely open-ended, I could continue adding to this data set forever, so I downloaded Tableau (data visualisation software) to explore because I think if I want to continue with this I’ll need a better system of organising and tracking the data. To follow up on feedback, like revisiting the spots in different seasons, would be best supported by a stronger organisational system.

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