Description:

• This dataset contains information about real estate property transactions.
• Each row represents a single property transaction.
• The dataset includes various attributes such as transaction dates, property locations, estimated and sale prices, property characteristics (e.g., type, residential status, number of rooms and bathrooms, carpet area), and property tax rates.
• The dataset provides insights into the real estate market, including trends in property prices, property types, and tax rates across different localities and years.
• It can be used for various analytical purposes such as market analysis, predictive modeling, and decision-making in the real estate industry.
• Researchers, analysts, and stakeholders in the real estate sector can utilize this dataset to understand market dynamics, assess property values, and make informed investment decisions.

Features:

Date: The date when the property transaction occurred.
Year: The year of the property transaction.
Locality: The locality or area where the property is located.
Estimated Value: The estimated value of the property.
Sale Price: The actual sale price of the property.
Property: The type of property (e.g., Single Family).
Residential: Indicates whether the property is residential or not.
Num_rooms: The number of rooms in the property.
Num_bathrooms: The number of bathrooms in the property.
Carpet Area: The carpet area of the property.
Property Tax Rate: The property tax rate applicable to the property.
Face: The facing direction of the property (e.g., North, South, East).