Abstract: Railway accidents in India have been a significant concern, impacting lives, infrastructure, and the economy. This research paper aims to analyze railway accident data in India using Python to uncover patterns, trends, and potential causes. By leveraging data analytics techniques, we can provide insights that may help in reducing the frequency and severity of such incidents. The study uses a comprehensive dataset of railway accidents in India, employing Python libraries for data cleaning, analysis, and visualization. The findings highlight key factors contributing to railway accidents and suggest measures for improving railway safety.

| DOI: 10.17148/IARJSET.2024.11776