Baselight

Airline Reviews

Sky Insights: Unraveling Airline Experiences Through Reviews

@kaggle.juhibhojani_airline_reviews

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About this Dataset

Airline Reviews

Welcome to the fascinating Airline Reviews Dataset from airlinequality.com! This incredible resource contains valuable insights waiting to be explored. Let's embark on this exciting journey together to discover customer sentiments, analyze trends over time, predict ratings, and more, all aimed at improving airline experiences and creating happier passengers.

Source Code : https://github.com/Juhibhojani/Airline-Reviews-

Features of the Dataset:

  • Airline Name
  • Overall Rating
  • Review Title
  • Review Date
  • Verified (whether the review is verified or not)
  • Review
  • Aircraft
  • Type of Traveller
  • Seat Type
  • Route
  • Date Flown
  • Seat Comfort
  • Cabin Staff Service
  • Food & Beverages
  • Ground Service
  • Inflight Entertainment
  • Wifi & Connectivity
  • Value for Money
  • Recommended

This dataset holds a wealth of information that can be leveraged to gain valuable insights into customer experiences with various airlines. By performing sentiment analysis, time series analysis, and prediction tasks, we can uncover hidden patterns, understand passenger sentiments, and make data-driven decisions to enhance the overall airline experience. Let's make the most of this dataset and embark on an exciting journey of exploration!

Tables

Airline Review

@kaggle.juhibhojani_airline_reviews.airline_review
  • 10.16 MB
  • 23171 rows
  • 20 columns
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CREATE TABLE airline_review (
  "unnamed_0" BIGINT,
  "airline_name" VARCHAR,
  "overall_rating" VARCHAR,
  "review_title" VARCHAR,
  "review_date" VARCHAR,
  "verified" BOOLEAN,
  "review" VARCHAR,
  "aircraft" VARCHAR,
  "type_of_traveller" VARCHAR,
  "seat_type" VARCHAR,
  "route" VARCHAR,
  "date_flown" VARCHAR,
  "seat_comfort" DOUBLE,
  "cabin_staff_service" DOUBLE,
  "food_beverages" DOUBLE,
  "ground_service" DOUBLE,
  "inflight_entertainment" DOUBLE,
  "wifi_connectivity" DOUBLE,
  "value_for_money" DOUBLE,
  "recommended" VARCHAR
);

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