Project 1: Exploratory Data Analysis for Girl Scouts
This project aimed to help a Girl Scout troop maximize their cookie sales by identifying the best NYC subway stations for their operation.
The selection was based on the MTA turnstile subway data and Statistical Atlas’s Census data, focusing on stations with high foot traffic near family-oriented neighborhoods.
Subway stations were chosen as the selling points due to their high foot traffic, and stations near family-dense areas were assumed to yield higher sales.
The project assumed that individuals with families living in residential neighborhoods would be the most likely to buy Girl Scout cookies.
The data was filtered to consider only the hours after 3pm, considering that Girl Scouts are typically in school during the day and this is a high-traffic timeframe.
High traffic areas like Manhattan neighborhoods were assumed to be less optimal due to the busy schedules of kids and parents.
The project used 12 weeks of MTA turnstile data from the most recent three months (Dec 2021- March 2022), focusing on daily exits per station after 3pm.
The Statistical Atlas Census data showed that neighborhoods with the highest percentage of family households were located in four clusters: The Bronx, Brooklyn, Queens, and Corona.
The top 50 stations by total daily turnstile exits and the family-dense neighborhoods were mapped on Google Earth.
Based on the mapping, the top stations per borough cluster were determined, providing the Girl Scout troop with the best locations for their cookie sales operation.