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Airline Analysis

In this project, we need to know the ins and outs of airline prices for travel agency clients. We want to make sure that we can find the best deal for our clients and help them to understand how airline prices change based on different factors.

Based on a look into one of the airline. The data includes:

  • miles: miles traveled through the flight
  • passengers: number of passengers on the flight
  • delay: take-off delay in minutes
  • inflight_meal: is there a meal included in the flight?
  • inflight_entertainment: are there free entertainment systems for each seat?
  • inflight_wifi: is there complimentary wifi on the flight?
  • day_of_week: day of the week of the flight
  • weekend: did this flight take place on a weekend
  • coach_price: the average price paid for a coach ticket
  • firstclass_price: the average price paid for first-class seats
  • hours: how many hours the flight took
  • redeye: was this flight a redeye (overnight)?

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univariate, bivariate, multivariate analysis by making the different kind of plots: scatterplots, histograms, lmplots, boxplots

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