Flight Tickets Price Analysis

Flight ticket prices are constantly changing, and it can be challenging to know when to book in order to get the best deal. This project will use data analysis to investigate the factors that affect flight ticket prices and to identify the best times to book in order to save money.

The data for this project will be collected from various sources, including flight search engines, airline websites, and government data. The data will include information on flight prices, departure, and arrival dates, number of stops, and cabin class.

The data will be analyzed using a variety of statistical methods, including regression analysis, time series analysis, and clustering. These methods will be used to identify the factors that affect flight ticket prices and to develop models that can be used to predict future prices.

The results of the analysis will be presented in a report that will provide insights into the factors that affect flight ticket prices. The report will also include recommendations on the best times to book in order to save money.

This project will provide valuable insights into the factors that affect flight ticket prices. The results of the analysis will be useful for travelers who want to save money on their flights.

In addition to the above, here are some other things that you might want to consider as part of your project:

The impact of seasonality. Flight prices tend to be higher during peak travel seasons, such as the summer and holidays.

The impact of demand. Flight prices can also be affected by demand. If there is a lot of demand for a particular flight, the price will likely be higher.

The impact of competition. The price of a flight can also be affected by the level of competition between airlines. If there are a lot of airlines competing for a particular route, the prices will likely be lower.