data

• download.py uses selenium to download month-by-month delay data from the BTS into files 20XX/all_data_monthN.csv, where N=1,...,12. Each download takes ~1-2 minutes.
• Get_Airports.py selects the rows with flights departing from top 6 busiest airports in the US, assembling all months of the year, and saves to 20XX/[airport_name].csv.
• Get_airport_stats.py and Get_carrier_stats.py create small csv's containing statistics about total number of flights and fraction of delays, grouped by airport and carriers.
• Get_clean_datasets.py selects flights coming and going from the top 20 airports in the US, creates a proper datetime column for the scheduled departure, and does some more cleaning. Makes the clean_data.csv file which we use for exploratory data analysis and machine learning.

Note that these csv's are not stored on the public repo..