Structured Analysis of Car Price Dataset 1. Dataset Structure & Column Types - Size: 17 rows (including header), 10 columns - Column Types: - Categorical: Brand, Model, Fuel_Type, Transmission - Numerical: Year, Engine_Size, Mileage, Doors, Owner_Count, Price 2. Key Statistics & Trends Numerical Columns | Column | Avg | Median | Min | Max | Notable Observations | |---------------|-----------|--------|--------|---------|--------------------------------| | Year | 2011.6 | 2010 | 2001 | 2023 | Newest: Audi Q5 (2023); Oldest: Kia Sportage (2001) | | Engine_Size | 3.0 | 2.8 | 1.3 | 4.8 | BMW 5 Series (1.3) has the smallest engine | | Mileage | 144,443 | 145,921| 5,356 | 296,824 | Extreme outlier: Chevrolet Malibu (5,356 miles) | | Price | $9,268 | $9,697 | $2,867 | $14,837 | Highest: Hyundai Elantra Electric ($14,837) | Categorical Columns - Fuel_Type: Hybrid (7), Electric (4), Diesel (3), Petrol (2) - Transmission: Automatic (7), Manual (6), Semi-Automatic (3) - Brand: Volkswagen (4), Kia (3), Toyota/Honda/Hyundai (2 each) 3. Notable Relationships & Insights 1. Price Drivers: - Electric cars command the highest average price ($11,239 vs. $9,426 for Hybrid). - Newer models (2020+) are 23% more expensive on average than older ones (pre-2010). - Low mileage(<50,000) correlates with +35% higher prices (e.g., Hyundai Elantra 2017: $14,837). 2. Outliers: - Mileage: BMW 5 Series (296,824 miles) is priced unusually low ($5,863). - Engine Size: Honda CR-V Hybrid (4.8) has the largest engine but mid-range price ($10,842). 3. **Brand Trends**: - Volkswagen Golf prices vary widely ($2,867–$11,444) based on year and fuel type. - Mercedes/Audi maintain premium pricing (>$11,000) despite high mileage. 4. Business Implications - Target Buyers: Highlight low-mileage Electric/Hybrid models (e.g., Hyundai Elantra 2017) for premium pricing. - Pricing Strategy: Older high-mileage cars (e.g., 2003 VW Golf) should be priced below $6,000. - Inventory Focus: Stock more Automatic Transmission vehicles (70% of top-priced cars). Final Summary: The dataset reveals clear pricing trends tied to fuel type, mileage, and age. Electric/hybrid and newer models yield higher profits, while outliers suggest potential data errors (e.g., Chevrolet Malibu’s 5,356 miles). Recommend prioritizing low-mileage EVs and auditing extreme mileage entries. Would you like deeper dives into specific correlations (e.g., Price vs. Year)?