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Flights Dataset Analysis

About Dataset

Research Questions

The aim of our study is to answer the following research questions:

  • Does the price vary with Airlines?
  • How is the price affected when tickets are bought just 1 or 2 days before departure?
  • How does the price change with different Source and Destination cities?
  • How does the ticket price vary between Economy and Business class?

Dataset

The dataset contains information about flight booking options from the Ease My Trip website for flights between India's top 6 metro cities. There are 300,261 data points and 11 features in the cleaned dataset.

Features

The various features of the cleaned dataset are explained below:

  1. Airline: The name of the airline company. This is a categorical feature with 6 different airlines.
  2. Flight: Information regarding the plane's flight code. This is a categorical feature.
  3. Source City: The city from which the flight takes off. This is a categorical feature with 6 unique cities.
  4. Departure Time: A derived categorical feature created by grouping time periods into bins. It contains 6 unique time labels for the departure time.
  5. Stops: A categorical feature with 3 distinct values that indicates the number of stops between the source and destination cities.
  6. Arrival Time: A derived categorical feature created by grouping time intervals into bins. It has 6 distinct time labels for the arrival time.
  7. Destination City: The city where the flight will land. This is a categorical feature with 6 unique cities.
  8. Class: A categorical feature that contains information on seat class, with two distinct values: Business and Economy.
  9. Duration: A continuous feature that shows the total travel time between cities in hours.
  10. Days Left: A derived feature calculated by subtracting the booking date from the trip date.
  11. Price: The target variable that stores information on the ticket price.

Link to the dataset

How to Run the Dashboard

Clone the Repository

git clone https://github.com/melllinia/FlightPriceDashboard.git
cd FlightPriceDashboard

Install the Requirements

pip install -r requirements.txt

Run the Dashboard

python3 src/app.py

Dashboard Deployment

The dashboard is available online with subsampled data for demonstration purposes.
You can access it here: Flight Price Dashboard

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