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Historical Flight Itineraries and Pricing Data
Data Science and Analytics
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About
Data provides detailed flight fare and itinerary information scraped from easemytrip.in. This material captures flight segments, dates, and ticket prices for travel occurring between 1 January and 29 February 2020. It is a vital resource for data scientists and researchers globally, designed for understanding historical airline pricing mechanisms, route structures, and consumer travel patterns.
Columns
The dataset includes fields essential for tracking flight paths and costs:
- Uniq Id: A unique identifier for the flight record.
- Crawl Timestamp: The date and time the data was collected.
- Source: The origin city of the itinerary (e.g., Mumbai, Delhi, Jeddah).
- Layover1, Layover2, Layover3: Up to three intermediate cities where the flight stops.
- Destination: The final city of the itinerary.
- Flight Operator: The name of the operating airline (e.g., Air India, Indigo, SpiceJet).
- Flight Number: The specific flight code.
- Departure Date, Departure Time, Arrival Date, Arrival Time: Specific timing details for the journey.
- Total Time: The duration of the entire itinerary.
- Number Of Stops: The count of stops during the travel segment.
- Fare: The ticket price.
Distribution
The data is structured as a large CSV file. The main collection contains over 1,794,624 total records, focusing on the easemytrip.in domain. A sample file containing approximately 30,000 records is available for initial exploration. The records cover a two-month period from 1 January 2020 to 29 February 2020.
Usage
This resource is highly valuable for data scientists and analysts. Ideal applications include building machine learning models for dynamic pricing, analyzing the influence of layovers on total travel time, and studying airline route efficiency and fare fluctuations within the early 2020 period.
Coverage
The scope of the data covers global flight itineraries and associated fare details sourced from the easemytrip.in platform. The time range is limited to the first two months of 2020 (January and February). The itineraries cover a mix of domestic routes (e.g., Delhi to Patna) and international segments (e.g., Riyadh to Delhi) across numerous flight operators.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for data scientists, academic researchers, and analysts interested in travel pricing, logistical modelling, and market dynamics within the airline industry.
Dataset Name Suggestions
- EaseMyTrip Global Flight Fare Details 2020
- Historical Flight Itineraries and Pricing Data
- Airline Fare Data January-February 2020
Attributes
Original Data Source: Historical Flight Itineraries and Pricing Data
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