Dataset: Mumbai Andheri House Rent Dataset

About this Dataset

Mumbai Andheri House Rent Dataset

This dataset contains real estate listings specifically from Andheri, Mumbai, with detailed property attributes, pricing, and amenities. It is well-suited for market analysis, price prediction, and trend forecasting in one of Mumbai’s prime residential and commercial hubs.

Key Features:
Property Details: Furnishing type, number of bathrooms, built-up area, floor number, total floors.
Pricing Information: Security deposit, price (numeric), and related financial aspects.
Amenities: Balcony, parking, pet allowance, pool, power backup, sports facility, water supply, and other features.
Facing & Location Details: Direction the property faces (North, East, etc.), providing insights into property orientation preferences.
This dataset is valuable for supervised learning models, particularly for real estate price prediction, feature importance analysis, and trend forecasting in Andheri’s dynamic property market.

furnishing – Type of furnishing (e.g., Unfurnished, Semi-Furnished, Fully Furnished).
bathrooms – Number of bathrooms in the property.
facing – Direction the property faces (e.g., North, South, East, West).
built_up_area_numeric_in_sq_ft – Built-up area of the property in square feet.
floor_number – The specific floor on which the property is located.
total_floors – Total number of floors in the building.
Pricing Information:
security_numeric – Security deposit amount.
price_numeric – Listed price of the property.
One-Hot Encoded Features (0 = No, 1 = Yes):
These columns represent property amenities and features in binary format (1 = available, 0 = not available).

balcony_numeric – Indicates whether the property has a balcony.
Intercom – Availability of an intercom system.
Kids Area – Presence of a kids' play area.
Lift – Whether the building has an elevator.
Parking – Availability of a parking space.
Pet Allowed – Indicates if pets are allowed.
Pool – Availability of a swimming pool.
Power Backup – Indicates if power backup is available.
Sports Facility – Presence of sports facilities in the residential complex.
Water Supply – Whether a dedicated water supply is available.

Tables

Dataset

@kaggle.rivals16_mumbai_andheri_house_rent_dataset.dataset

44.72 KB
943 rows
42 columns


CREATE TABLE dataset (
  "unnamed_0" BIGINT,
  "furnishing" VARCHAR,
  "bathrooms" BIGINT,
  "facing" VARCHAR,
  "security_numeric" DOUBLE,
  "price_numeric" BIGINT,
  "built_up_area_numeric_in_sq_ft" BIGINT,
  "balcony_numeric" BIGINT,
  "floor_number" BIGINT,
  "total_floors" BIGINT,
  "age_numeric" BIGINT,
  "ac" BIGINT,
  "bed" BIGINT,
  "cctv" BIGINT,
  "cupboard" BIGINT,
  "fridge" BIGINT,
  "geyser" BIGINT,
  "intercom" BIGINT,
  "microwave" BIGINT,
  "not_found" BIGINT,
  "sofa" BIGINT,
  "stove" BIGINT,
  "tv" BIGINT,
  "washing_machine" BIGINT,
  "n__10" BIGINT,
  "n__2" BIGINT,
  "n__5" BIGINT,
  "n__7" BIGINT,
  "garden" BIGINT,
  "gas_pipeline" BIGINT,
  "gated_community" BIGINT,
  "gym" BIGINT,
  "intercom_1" BIGINT,
  "kids_area" BIGINT,
  "lift" BIGINT,
  "not_found_1" BIGINT,
  "parking" BIGINT,
  "pet_allowed" BIGINT,
  "pool" BIGINT,
  "power_backup" BIGINT,
  "sports_facility" BIGINT,
  "water_supply" BIGINT
);