Now, say you are looking into the flight pattern of an Airline and you want give your audience a one-snapshot of the said Airline. Your center-piece will probably be a nice map of the network meshing and this is where it gets tricky: As Tableau represents flight segments as flat lines (as opposed to Great Circle lines), you end up with a mediocre visualization like the following:
JFK - LHR Flight - Straight Line |
In order to have nice curves, I resorted to pre-processing the data and calculating the intermediary points for each segment with a short Julia code snippet (available here).
I chose Julia to evaluate this new tool whose selling point is to be as fast as C and as high-level as R. If you check out my github, you will notice how familiar this language looks.
I chose Julia to evaluate this new tool whose selling point is to be as fast as C and as high-level as R. If you check out my github, you will notice how familiar this language looks.
The script creates a point every 500 kilometers (~300 miles) for each flight. The final result looks like an actual flight network!
Case in point with VX (Virgin America):
Good luck!
PS: The data used is from Openflights. I noticed that there are errors in the dataset (such as Jet Blue flying to Dubai that is probably an codeshare-AA flight) so use with caution.
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