Introduction
Overall Story
Travel has been severely restricted since the COVID-19 outbreak began in late 2019, but is this the result of government restrictions, or people simply choosing not to go out because of scary of unknown COVID-19. So we wanted to use the data from Twitter, the number of COVID-19 diagnoses and new cases per day, [1] as well as flights over the last three years, [2] to find out how does the COVID-19 affects people's travel and their mood. Based on this original intention, the project completed the following tasks：
Overall
Backgrounds
Will people keep traveling during COVID-19 pandemic?
As oversea students who have gone all the way to the U.S. in order to study at Georgetown University, the challenges within the trip were not easy at all. We had to wear masks, figure out visa issues, buy air tickets that their prices are much higher than usual and take all the PCR testings.
It is a fact that COVID-19 has made everything so much harder than before, but amazingly, here we are at Georgetown study Data Analytics. COVID-19 didn't stop us anyway.
That leaves us a question here: How does COVID-19 affect people's travel by air?Did it stop most people to travel, or did it not?
Backgrounds
Reference
[1]: Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic, Matthias Wilhelm (April 2014). Bringing up OpenSky: A large-scale ADS-B sensor network for research. ACM/IEEE International Conference on Information Processing in Sensor Networks
[2]: Centers for Disease Control and Prevention, COVID-19 Response. COVID-19 Case Surveillance Public Data Access, Summary, and Limitations. https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html