This project analyzes airline ticket pricing in India to understand the factors that influence fare variations. Through data cleaning, visualization, and exploratory analysis, it highlights pricing trends across airlines, routes, travel classes, flight duration, and travel timings. The insights help identify patterns that impact ticket costs and offer a clearer view of the Indian domestic aviation market.
- Data cleaning and preprocessing
- Exploratory data analysis (EDA)
- Visualization of key pricing trends
- Comparison of airlines, routes, stops, and classes
- Insights into factors affecting ticket prices
- Python
- Pandas
- NumPy
- Matplotlib / Seaborn
- Jupyter Notebook
- Open the notebook: India Airlines Ticket Price Exploratory Analysis.ipynb
- Run cells step-by-step to view analysis and visualizations
- Modify or extend the code to perform deeper analysis
To understand and visualize how different factors shape airline ticket prices in India and help users make data-driven decisions.