Determine the top-k airports with the highest air traffic capacity, specifically focusing on the number of flights. This investigation will help identify and prioritize airports based on their substantial contribution to global air traffic volume.

Present the best flight option (or the set of options if they are equivalent) for a given source and
destination locations. The best flight option is considered to be the one with the least amount of stops.
Locations may be specified by the user (inputs) using different criteria
ii) City name, encapsulating all the airports departing from a given city

This requires a custom hash function and I don't know how to implement it.

Read airports.csv and parse the information to the correct class.

Currently, this process happens after all the flights are created.
This results in a waste of processing time.

Analyze the network of reachable destinations, including airports, cities, or countries, from a designated airport within a specified maximum number of layovers (X stops). This evaluation aims to understand the extent of the airport's connectivity and the efficiency of travel options based on layovers.

Read flights.csv and parse the information to the correct class.
This depends on #1 and #2

At the moment the filters are used to exclude airports/airlines from the search and we also need the reverse (only consider certain airlines).
It would also be nice to add a stop in a flight (for example go from Porto to Paris but stop in Madrid).

Read airlines.csv and parse the information to the correct class.

Track and report the current global count of airports and available flights to enhance our understanding of the worldwide aviation infrastructure.

Gather data on the number of flights departing from each airport and the diversity of airlines operating at these airports to better understand the extent of air traffic and the range of carriers contributing to the global aviation network.

Assess and document the number of distinct countries served by a specific airport or city, aiming to understand the international connectivity and reach of each location within the global air travel network.

Evaluate and compile data on the total number of flights per city and per airline, providing valuable insights into the air traffic distribution across cities and the operational scope of individual airlines.

Investigate and record the total count of destinations, encompassing airports, cities, and countries, accessible from a specific airport. This information will provide a comprehensive overview of the travel options and connectivity offered by the airport.

Present the best flight option (or the set of options if they are equivalent) for a given source and
destination locations. The best flight option is considered to be the one with the least amount of stops.
Locations may be specified by the user (inputs) using different criteria
iii. Geographical coordinates, considering the closest airport to the given coordinates. If there is
more than one, consider all the closest ones

Identify critical airports within the network by assessing their essential role in maintaining overall connectivity. These airports are deemed essential if their removal results in certain areas of the network becoming unreachable, providing insights into key hubs for the network's circulation capability.

Currently it just prints the code of the airports with a space in between.

Present the best flight option (or the set of options if they are equivalent) for a given source and
destination locations. The best flight option is considered to be the one with the least amount of stops.
Locations may be specified by the user (inputs) using different criteria:
i. Airport code or name;

Identify and document the maximum trip duration along with the corresponding pair(s) of source and destination airports, focusing on flights with the highest number of stops in between. This analysis aims to highlight the most extended flight routes in terms of layovers within our data.