Driven by Data: Analyzing Price & Trends in the Used Car Market

gearbox, and price. We found that prices can vary a lot, even for similar cars. For example, a 2014 Toyota Innova with high mileage can still cost more than a 2010 model. Luxury brands stay expensive, even when used more. A hypothesis was proposed that brand and mileage significantly impact car prices. This was supported by correlation analysis, which showed a strong positive relationship between brand and price (r = 0.78) and a moderate negative correlation between mileage and price (r = -0.56). Regression models and visualizations were used to further explore these patterns, offering insights for sellers to price competitively, for buyers to assess fair market value, and for automakers to consider in future pricing strategies. The study has its limits. The Kaggle data misses some real-world factors and newer trends. About 12% of the data was missing or wrong and had to be cleaned. Since the data is old and may be from one region, it might not show what’s happening now or elsewhere. The data also doesn’t cover things like buyer mood or supply chain problems. While there are no privacy risks, the results should be shared clearly and fairly. These limits matter and show where more work is needed.