This project dives into customer reviews of British Airways to uncover insights into passenger sentiment, regional patterns, and service quality trends. The analysis is visualized through an interactive Tableau dashboard.
With real-world airline review data, this project aims to:
- Analyze passenger feedback from different countries
- Understand trends in review scores and sentiment
- Visualize how customer experience varies across regions and classes
- Help stakeholders make data-driven service improvements
| File Name | Description |
|---|---|
ba_reviews.csv |
Primary dataset with passenger reviews and ratings |
Countries.csv |
Supporting data used for mapping countries in Tableau |
British Airways Reviews.twbx |
Tableau workbook containing interactive visual dashboards |
- 🌍 Country-level review analysis (positive vs. negative trends)
✈️ Class-wise satisfaction breakdown (Economy, Business, First)- ⭐ Average rating trends across categories (Seat Comfort, Food, etc.)
- 🧭 Filters to explore data by year, location, and travel class
- Tableau Desktop for data visualization
- CSV files for structured review data
- Data cleaning & integration for map visualizations
- Download all files in the repo.
- Open
British Airways Reviews.twbxin Tableau Desktop. - If prompted, reconnect to
ba_reviews.csvandCountries.csv. - Interact with the dashboard to explore review trends and insights.
(Replace with your actual findings if available!)
- Passengers from [X] rated inflight service highest.
- [Y] class had the most negative feedback on seat comfort.
- Most reviews were submitted during [Month/Year].