Used Car Price Analysis

Used Car Price Analysis

Analyzed a used car dataset using Python, Pandas, NumPy, and Matplotlib to identify the key factors affecting car prices, such as brand, manufacturing year, fuel type, transmission type, ownership history, and kilometers driven. Performed data cleaning, preprocessing, exploratory data analysis (EDA), and data visualization to uncover market trends and pricing patterns. Built visual insights to compare prices across different categories and support better decision-making in the used car market.