This project was created to help American Airlines predict passenger attendance based on new covid rates in the area. This would allow airlines to be able to predict absent fliers and in turn be able to determine new policies, ticket price changes to minimize possible profit loss. This was done by extracting Flight data from the API using pandas. These filter data frames were then converted into to csv files so they can be manipulated and analyzed in R studios.
The predictive model was created by using a regression analysis via simulation. Missing passanger attendance was also generated using daily covid rates reported from the Dallas county.
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