Calculate the mean and median time between maintenance events for each vehicle type and visualize the results using a bar chart to identify trends in maintenance frequency.

Perform a root cause analysis to identify the factors contributing to vehicle breakdowns and visualize the results using a Pareto chart to prioritize the most significant issues.

Develop a predictive model to forecast future maintenance needs based on historical data and visualize the results using a time series plot to anticipate maintenance schedules.

Use clustering algorithms to segment vehicles based on their maintenance patterns and identify potential areas for improvement through pattern recognition.