Airline Analysis

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In this project, you’ll imagine that you work for a travel agency and need to know the ins and outs of airline prices for your clients. You want to make sure that you can find the best deal for your client and help them to understand how airline prices change based on different factors.

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Univariate Analysis

1. What do coach ticket prices look like? What are the high and low values? What would be considered average? Does $500 seem like a good price for a coach ticket?
2. Visualize the coach ticket prices for flights that are 8 hours long. What are the high, low, and average prices for 8-hour-long flights? Does a $500 ticket seem more reasonable than before?
3. How are flight delay times distributed? Let’s say there is a short amount of time between two connecting flights, and a flight delay would put the client at risk of missing their connecting flight. You want to better understand how often there are large delays so you can correctly set up connecting flights. What kinds of delays are typical?

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Bivariate Analysis

4. Create a visualization that shows the relationship between coach and first-class prices. What is the relationship between these two prices? Do flights with higher coach prices always have higher first-class prices as well?

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5. What is the relationship between coach prices and inflight features— inflight meal, inflight entertainment, and inflight WiFi? Which features are associated with the highest increase in price?

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6. How does the number of passengers change in relation to the length of flights?

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7. Visualize the relationship between coach and first-class prices on weekends compared to weekdays.