Dataset: Flight Analytics Dataset

About this Dataset

Flight Analytics Dataset

The Flight Prediction Dataset is a comprehensive collection of international airline data focused on predicting various aspects of air travel. This dataset provides valuable insights into flight demand, customer behavior, pricing optimization, route planning, customer segmentation, and churn prediction. With a wide range of attributes and historical flight information, this dataset enables businesses and researchers to develop accurate prediction models and make data-driven decisions in the aviation industry. By leveraging this dataset, stakeholders can enhance operational efficiency, optimize pricing strategies, plan route expansions, and improve customer satisfaction. The dataset offers a valuable resource for analyzing flight patterns, understanding market trends, and unlocking opportunities for growth and innovation in the airline industry.

Tables

Flight Data

@kaggle.goyaladi_flight_dataset.flight_data

22.15 KB
100 rows
18 columns


CREATE TABLE flight_data (
  "departure_city" VARCHAR,
  "arrival_city" VARCHAR,
  "departure_date" TIMESTAMP,
  "flight_duration" DOUBLE,
  "delay_minutes" BIGINT,
  "customer_id" BIGINT,
  "name" VARCHAR,
  "booking_class" VARCHAR,
  "frequent_flyer_status" VARCHAR,
  "route" VARCHAR,
  "ticket_price" DOUBLE,
  "competitor_price" DOUBLE,
  "demand" DOUBLE,
  "origin" VARCHAR,
  "destination" VARCHAR,
  "profitability" DOUBLE,
  "loyalty_points" BIGINT,
  "churned" BOOLEAN
);