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How to perform analysis on a FlightData call, that is in a time object format?

R Balled
Posted 1 year ago
POSTED BY: R Balled
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Hi Ryder,

maybe this helps a bit:

arrivalDelaysRaw = FlightData[Entity["Airport", "MEM"] -> Entity["Airport", "LGA"], {"ArrivalDelay"}, {DateObject[{2023, 1, 1}], DateObject[{2023, 1, 10}]}];
arrivalDelays0 = DeleteCases[arrivalDelaysRaw, <|"ArrivalDelay" -> Missing["NotAvailable"]|>];
arrivalDelays = KeyValueMap[{#1, UnitConvert[#2["ArrivalDelay"], "Minutes"]} &, arrivalDelays0]
POSTED BY: Henrik Schachner
Updating Name
Updating Name
Posted 1 year ago

Thank you, I am still having issues. The end goal is to get these datasets for various routes to be able to compare them statistically, but I am having trouble getting the list of numbers into something that is usable. Do you have any general advice for this? I appreciate the help very much!

POSTED BY: Updating Name

Can you provide an example of the data format that you are trying to construct?
POSTED BY: Rohit Namjoshi
R Balled
R Balled
Posted 1 year ago
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POSTED BY: R Balled

Hi Ryder,

QuantityConvert is not a built-in function. It should be UnitConvert. The error checking can be simplified by eliminating Missing from the raw data

arrivalDelaysRaw // Map[DeleteMissing] // processArrivalDelay

There is a handy Resource Function KeyGroupBy that you can use to group the data by airline or any other property of the Flight entity.

ResourceFunction["KeyGroupBy"][processedArrivalDelays, #["Airline"] &]
POSTED BY: Rohit Namjoshi
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