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Analyzed car price data using MySQL for data querying and Python (Pandas, Matplotlib, Seaborn) for data processing and visualization. The project explores price trends, fuel type distribution, brand-wise pricing, and other key insights from the car_price_dataset

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Car-Price-Analysis

Car Price Market Analysis

Analyzed car price data using MySQL for data extraction and querying, and Python (Pandas, Matplotlib, Seaborn) for data processing, analysis, and visualization.

The project explores brand-wise pricing trends, fuel type preferences, mileage impact on price, and ownership influence on car valuation using a dataset of 50K+ car listings.

Key Outcomes: Toyota identified as the most expensive brand with an average price of ₹15L. Petrol cars dominate the market, making up 65% of the listings. Cars with mileage over 100K km are priced approximately 30% lower than low-mileage cars. Manual transmission cars account for 70% of the listings, indicating strong preference for manual vehicles in the dataset.

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Analyzed car price data using MySQL for data querying and Python (Pandas, Matplotlib, Seaborn) for data processing and visualization. The project explores price trends, fuel type distribution, brand-wise pricing, and other key insights from the car_price_dataset

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