The dataset was scrapped and complied from website https://www.airlinequality.com/airline-reviews/delta-air-lines by utilizing Python BeautifulSoup package and data manipulation packages including pandas and numpy.

The expected data science tasks including:

1. Sentiment analysis utilizing text mining
2. Data Visualization: popular flight, high rating seat type, customers segmentation, etc
3. Booking recommendation prediction by using predictive modeling

Key data features are:

1. Flight route ( geographic location )
2. Flight date
3. Rating score
4. Seat Type ( Economy, Business, First Class)
5. Reviewer country
6. Reviewer travel type ( for segment analysis ) .......

The dateset has been slightly pre-processed. Please enjoy!