In the Project 1 of Metis Data Science Bootcamp (Singapore Batch 5), we are tasked on exploratory data analysis (EDA) of MTA turnstile data to advise a fictitious non-profit organization, WomenTechWomenYes (WTWY) on the optimal placement of street teams (at entrances to NYC subway stations) for social engagements. WTWY wants to invite interested individuals to its annual gala to raise awareness and increase participation for women in tech, and the street teams’ agenda is to collect as many emails as possible and give out free tickets to the gala. In my analysis, I have made the following assumptions:
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