On-Time Flight Performance with GraphFrames for Apache Spark

Feature Image: NASA Goddard Space Flight Center: City Lights of the United States 2012 This is an abridged version of the full blog post On-Time Flight Performance with GraphFrames. You can also reference the webinar GraphFrames: DataFrame-based graphs for Apache Spark and the On-Time Flight Performance with GraphFrames for Apache Spark notebook. An intuitive approach to understanding flight departure delays is to use graph structures. Why Graph? The reason for using graph structures is because it is a more intuitive approach to many classes of data problems: social networks, restaurant recommendations, or flight paths.  It is easier to understand these data problems…

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2014 Flight Departure Performance via d3.js Crossfilter

As part of some quick analysis of flight departure data, to more quickly understand the impact of distance, date, and time of day on departure delays – I forked the Square Crossfilter and incorporated data from RITA BTS Flight Departure Statistics and Great Circle Mapper to calculate airport distances. At the bottom is a nice screenshot of it, but you can interact with the data directly with the links directly below. Please note that it will take a few seconds to a few minutes to load up because of the large files d3 will process. Airline On-time Departure Performance (Top…

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