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Flight Issues and Popular Airlines

Authors: Kyi Win, M.S.; Nima Zahadat, Ph.D.;

Flight Issues and Popular Airlines

Abstract

This data visualization project explores flight Issues and popular airlines. Flight Issues: Delay and Safety, and Popular Airlines: Revenue and Passenger counts are visualized using Tableau and Datamatic. The following questions are explored in this project. Flight Issues: Flight Delay How many flights arrive on time? Compared five causes of flight delay to see which happen the most in each month? Which causes of flight delay are decreasing and increasing over the years? Which causes of flight delays will keep increasing or decreasing? Over the year, does flight delay increased or decreased? Flight Issues: Safety Which airlines are the safest? Answers are based on Fatalities, Fatal accidents, Incidents of 56 airlines. Popular Airlines: Revenue Which airlines have the highest revenue? Compared data from 2007 to 2016 of 10 popular domestic airlines. Popular Airlines: Passenger Counts What are popular airlines used by travelers to and from to Los Angeles domestically and internationally? Compared passenger data from July 2005 to December 2017 of 57 airlines. An Interactive Tableau Visualizations can be found here: https://public.tableau.com/views/FlightDelaysbyyear/Story1?:embed=y&:display_count=yes Project-specific Datasets used: Flight Issues Delay - https://think.cs.vt.edu/corgis/csv/airlines/airlines.html Safety - https://data.world/fivethirtyeight/airline-safety Popular Airlines Revenue - mit.edu/airlinedata Passenger counts - https://data.sfgov.org/Transportation/Air-Traffic-Passenger-Statistics/rkru-6vcg

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Keywords

Flight Delay, Airlines Revenue, Flight Issues, Airline Safety, Airlines, Flight Safety, Airlines LosAngeles, Popular Airlines, Airlines Passengers

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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