February 2017
Intermediate to advanced
274 pages
5h 58m
English
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Preparing your flights dataset
For this flights sample scenario, we will make use of two sets of data:
- Airline On-Time Performance and Causes of Flight Delays: [http://bit.ly/2ccJPPM] This dataset contains scheduled and actual departure and arrival times, and delay causes as reported by US air carriers. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).
- Open Flights: Airports and airline data: [http://openflights.org/data.html] This dataset contains the list of US airport data including the IATA code, airport name, and airport location.
We will create two DataFrames – airports and departureDelays–which will make up our vertices and edges of our GraphFrame, respectively. We will be creating this ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.