This week we continue our progression in R. This project is very interesting because it is about airline delays! The project looks at regression and estimation tasks with R’s Im function and modelr package. The goal is to perform estimation and regression modeling in a simplified way without using the “bread-and-butter” of regression. This project looks at flight delays overall and then looks at the possible contributing factors – day of the week effect, destination effect, and worst common flights.
This project is so interesting to me because I have often experienced delays and wondered about the contributing factors. Many can relate to flight delays, and the frustration they can cause! I am still getting use to R. It has taken me a bit longer to adapt to than SAS. I do like the platform, but the smallest thing can trip it up and it can take me a long time to determine how to fix it. I am looking forward to seeing where I am with it at the end of the class. It truly is such a useful tool!
Rachael's Blog 