Dataset 3: Housing Prices Dataset

Source:
Housing Prices Dataset

This dataset contains housing price records used for prediction and regression tasks. It includes a variety of features such as the size of the house, number of rooms, year built, and more, making it useful for exploratory data analysis, visualization, and machine learning projects.

Attributes and Types

• Id — Quantitative, nominal (unique identifier)
• MSSubClass — Categorical, nominal (type of dwelling)
• MSZoning — Categorical, nominal (general zoning classification)
• LotArea — Quantitative, ratio (lot size in square feet)
• Street — Categorical, nominal (type of road access)
• LotShape — Categorical, ordinal (general shape of property)
• YearBuilt — Quantitative, interval (original construction date)
• OverallQual — Quantitative, ordinal (overall material and finish quality)
• OverallCond — Quantitative, ordinal (overall condition rating)
• GrLivArea — Quantitative, ratio (above ground living area in square feet)
• FullBath — Quantitative, ratio (full bathrooms above grade)
• BedroomAbvGr — Quantitative, ratio (number of bedrooms above grade)
• GarageCars — Quantitative, ratio (size of garage in car capacity)
• GarageArea — Quantitative, ratio (garage size in square feet)
• SalePrice — Quantitative, ratio (target variable: sale price in USD)