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SRP Data Description

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Anshul Raj Verma edited this page Oct 26, 2023 · 1 revision

SRP Data Description

Data Usage

This dataset can be used for various real estate-related tasks, including:

  • Property price prediction.
  • Market analysis to identify trends and patterns.
  • Identifying popular property types and locations.
  • Evaluating the impact of property attributes on price.

EXPLANATION OF EACH COLUMNS

NOTE: Not all the columns are important for you so first try to understand your problem statement and then filter this dataset accordingly.

  • AGE: The age of the property in years.
  • ALT_TAG: An alternative tag or description.
  • AMENITIES: Describes the amenities available with the property.
  • AREA: The area of the property.
  • BALCONY_NUM: The number of balconies in the property.
  • BATHROOM_NUM: The number of bathrooms in the property.
  • BEDROOM_NUM: The number of bedrooms in the property.
  • BROKERAGE: Information about the brokerage or agency associated with the property listing.
  • BUILDING_ID: An integer identifier for the building.
  • BUILDING_NAME: The name of the building.
  • BUILTUP_SQFT: The total built-up area of the property in square feet.
  • CARPET_SQFT: The total carpet area of the property in square feet.
  • CITY_ID: An identifier for the city in which the property is located.
  • CITY: The city where the property is located.
  • CLASS_HEADING: A heading for the property class.
  • CLASS_LABEL: A label representing the property class.
  • CLASS: A classification label for the property.
  • COMMON_FURNISHING_ATTRIBUTES: Attributes related to the furnishings and amenities commonly found in the property.
  • CONTACT_COMPANY_NAME: The name of the company or agency responsible for the property listing.
  • CONTACT_NAME: The name of the contact person associated with the property listing.
  • DEALER_PHOTO_URL: URL to a photo or image associated with the property dealer.
  • DESCRIPTION: A description of the property listing.
  • EXPIRY_DATE: The date when the listing expires.
  • FACING: Indicates the direction the property is facing.
  • FEATURES: Describes the features of the property.
  • FLOOR_NUM: The floor number of the property.
  • FORMATTED_LANDMARK_DETAILS: Details of nearby landmarks.
  • FORMATTED: Formatted information related to the property.
  • FSL_Data: Data related to the property, possibly specific to a particular real estate agency.
  • FURNISH: Indicates whether the property is furnished.
  • FURNISHING_ATTRIBUTES: Attributes describing the level of furnishing in the property.
  • GROUP_NAME: The name of the group or organization to which the property may belong.
  • LISTING: Information about the property listing, possibly including its status and other details.
  • LOCALITY_WO_CITY: The locality name without the city information.
  • LOCALITY: The specific locality or neighborhood where the property is situated.
  • location: Additional location information.
  • MAP_DETAILS: Contains latitude and longitude information.
  • MAX_AREA_SQFT: The maximum area of the property in square feet.
  • MAX_PRICE: The maximum price of the property.
  • MEDIUM_PHOTO_URL: URL to a medium-sized photo or image of the property.
  • metadata: Additional metadata or information about the dataset.
  • MIN_AREA_SQFT: The minimum area of the property in square feet.
  • MIN_PRICE: The minimum price of the property.
  • OWNTYPE: An integer representing the ownership type.
  • PD_URL: URL to additional property details.
  • PHOTO_URL: URL to photos or images associated with the property.
  • POSTING_DATE: The date when the property listing was posted.
  • PREFERENCE: Indicates the preference type for the property listing (e.g., "S" for sale).
  • PRICE_PER_UNIT_AREA: The price per unit area of the property.
  • PRICE_SQFT: The price per square foot of the property.
  • PRICE: The price of the property. This is target column for ML.
  • PRIMARY_TAGS: Primary tags or labels.
  • PRODUCT_TYPE: The type of product listing.
  • profile: Profile information related to the property or listing.
  • PROJ_ID: An integer identifier for the project.
  • PROP_DETAILS_URL: URL to detailed property information.
  • PROP_HEADING: A heading or title for the property.
  • PROP_ID: A unique identifier for each property listing, in the form of an object or string.
  • PROP_NAME: The name of the property.
  • PROPERTY_IMAGES: Images or photos related to the property.
  • PROPERTY_NUMBER: An integer identifier for the property.
  • PROPERTY_TYPE__U: An integer identifier for property type.
  • PROPERTY_TYPE: The type of the property (e.g., "Residential Apartment").
  • QUALITY_SCORE: A score or rating associated with the quality of the property.
  • REGISTER_DATE__U: An additional registration date.
  • REGISTER_DATE: The date when the property listing was registered.
  • REGISTERED_DAYS: The number of days the property has been registered.
  • RES_COM: Indicates if the property is residential or commercial.
  • SECONDARY_AREA: Additional area information.
  • SECONDARY_TAGS: Secondary tags or labels.
  • SOCIETY_NAME: The name of the society or community.
  • SPID: An integer identifier for each property listing.
  • SUPER_SQFT: The total super area of the property in square feet.
  • SUPERBUILTUP_SQFT: The total super built-up area of the property in square feet.
  • THUMBNAIL_IMAGES: Thumbnail images related to the property.
  • TOP_USPS: Top unique selling points of the property.
  • TOTAL_FLOOR: The total number of floors in the building.
  • TOTAL_LANDMARK_COUNT: The total number of landmarks near the property.
  • TRANSACT_TYPE: The transaction type.
  • UPDATE_DATE: An integer representing the update date.
  • VALUE_LABEL: A label representing the property value.
  • VERIFIED: Indicates if the property listing is verified.
  • xid: An identifier or key associated with the property listing.
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