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Skytrax Indian Domestic Airline Reviews
Product Reviews & Feedback
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About
Exploring trends and patterns in Indian Airlines customer ratings, this collection provides valuable insights into customer satisfaction, loyalty, and specific areas for operational improvement within the domestic aviation sector. The data includes review text, numerical ratings, submission dates, explicit feedback, and customer recommendations, making it suitable for detailed analysis of traveller sentiment.
Columns
AirLine_Name: Identifies the name of the domestic Indian airline being discussed (e.g., AirIndia, SpiceJet).Rating: A numerical score assigned by the customer, typically indicating overall satisfaction on a scale of 1 to 10. The average rating is approximately 4.03.Title: The subject line or headline provided for the customer review.Name: The name of the customer who submitted the feedback.Date: The specific date the review was posted.Review: The full body text capturing the customer’s experiences and opinions.Recommond: A binary indicator that shows whether the customer recommends the airline (True or False). Approximately 34% of customers recommend the service.
Distribution
The data consists of approximately 2,210 valid customer records across 7 distinct columns. The file size is around 1.51 MB. The dataset is structured for easy analysis, typically provided in a standard tabular format such as CSV.
Usage
This resource is ideal for various analytical applications, including sentiment analysis and text mining to gauge public opinion towards specific carriers. It supports predictive modelling, competitive benchmarking, and in-depth analysis to identify factors that influence customer loyalty and service quality. It is highly suitable for beginner-level data analytics projects.
Coverage
The scope is focused exclusively on the Indian domestic airline market. The data includes reviews submitted across 212 unique dates, providing a recent snapshot of customer opinions, with data sources noted up to late 2023.
License
CC BY-SA 4.0
Who Can Use It
Data analysts and scientists requiring real-world text data for Natural Language Processing (NLP) initiatives. Aviation industry management and marketing teams can use the feedback to track operational performance and improve service delivery. Researchers interested in market trends and consumer behaviour within the Indian airline sector will find this valuable.
Dataset Name Suggestions
- Indian Airlines Customer Feedback Analysis
- Skytrax Indian Domestic Airline Reviews
- India Flight Satisfaction Ratings
- Customer Loyalty Metrics India
Attributes
Original Data Source: Skytrax Indian Domestic Airline Reviews
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