A group project for intro to data science that analyzes the impact of Covid 19 on airline revenue streams, fuel consumption and enplanements
- covidandairtravel.py - A Python program that uses least squares regression to analyze revenue streams, fuel consumption and enplanements then uses matplotlib and seaborn to graph the results
- graphs - The graphs generated by covidandairtravel.py
- data
- covidandairtravel.csv - A CSV text file containing the combined datasets for revenue streams, fuel consumption and enplanements
