I’m working on a project for a class where we have to come up with unique ways to analyze and then visualize data. The data set my team has chosen a giant list of flights in the US across a five year period. We each have our own areas/elements of the data that we are supposed to explore and come back together with ideas of what we could potentially do for an analysis/visualization.
My assignment is to focus on the airlines. I’m looking for ideas suggestions on any kind of interesting features/patterns/relationships that I could try an explore between the airlines themselves, or between airlines and other factors of the data (delays, origin/destination, cancellations, diversions, etc.). I have a few ideas of my own but would love to get some from others.
submitted by /u/diyage
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