This dataset focuses on residential house prices and captures key factors that influence property value.
It combines information about location, house features, size, and condition to help understand pricing patterns.
The dataset is suitable for exploratory data analysis, price prediction, and real estate market insights.

Key Highlights of the Dataset

• Contains detailed information about houses and their selling prices
• Includes location-based features such as area, neighborhood, or city
• Covers physical characteristics like house size, number of rooms, and property type
• Helps analyze how different features impact house prices
• Useful for regression models, feature importance analysis, and price forecasting
• Ideal for learning real-world data cleaning, visualization, and modeling techniques