Railway Ticket Sales Data Analysis

Railway Ticket Sales Data Analysis

The aim of this project is to analyze railway ticket sales data to understand customer booking behavior, ticket prices, payment methods, journey performance, delays, cancellations, and refund requests.

The dataset contains 31,653 railway ticket transactions and 19 columns, including transaction IDs, purchase dates, purchase types, payment methods, ticket classes, ticket types, prices, departure stations, arrival destinations, journey status, reasons for delays, and refund requests.

The project focuses on preparing and cleaning the data, exploring the main patterns, calculating important performance indicators, and presenting the results through charts and visualizations. These analyses can help identify popular stations, preferred booking methods, common delay reasons, and opportunities to improve customer experience and railway services.

The main goal is to turn raw data into useful information that supports better decisions and improves understanding of railway operations and customer behavior.