The data was scraped from the Magicbricks website. The following are the details of the dataset:

• Title: The title of the property listing.
• Price: The monthly rent of the property.
• Area: The total area of the property in square feet.
• BHK: The number of bedrooms in the property.
• Bathrooms: The number of bathrooms on the property.
• Furnished: Whether the property is furnished or not.
• Balconies: The number of balconies in the property.
• Floor: The floor number of the property.
• Ownership: The type of ownership of the property (i.e., freehold, leasehold, etc.).
• Facing: The direction the property faces.
• Amenities: The amenities that are available in the property or the surrounding area.
• Transaction Type: Whether the property is for sale or rent.
• Property Type: The type of property (i.e., apartment, house, villa, etc.).
• Location: The location of the property.
• Year of Construction: The year the property was built.
• Is Luxury: Whether the property is considered to be a luxury property.
• Description: A brief description of the property.
• Property Image: A link to the property image.

Key points in the dataset are :

1) This dataset can be used to gain insights into the rental market in Mumbai. For example, you could use the data to analyze the average rent for different types of properties, the most popular neighborhoods for renters, or the factors that affect the price of rent. You could also use the data to identify trends in the rental market, such as the increasing popularity of furnished apartments or the rising prices of luxury properties.

2) The dataset could also be used by real estate agents to help their clients find rental properties that meet their needs and budget. Additionally, the data could be used by developers to make informed decisions about the types of properties to build in Mumbai.

3) Overall, this dataset is a valuable resource for anyone who is interested in the rental market in Mumbai. It can be used to gain insights into the market, identify trends, and make informed decisions.

(Disclaimer: The data in this dataset has been gathered from publicly available sources. While the data is believed to be reliable and all privacy policies have been observed, No personal information such as email addresses, mobile numbers, or physical addresses hasn't been collected. I scrape data from the website Magicbricks to study the real estate market of Mumbai. ) Thank you !!!

Sale-Or-Purchase-of-Stock Time Series for Sun Hung Kai Properties Ltd. Sun Hung Kai Properties Limited, an investment holding company, develops and invests in properties for sale and rent in Hong Kong, Mainland China, and internationally. It develops, sells, and leases properties, including residential estates, offices, shopping malls, and hotels and serviced suites. The company also provides property management services; construction-related services, including landscaping, electrical and mechanical installation, production and installation of wooden doors, and construction plant and machinery leasing; and insurance products to individuals and businesses comprising householder's comprehensive, fire, employees' compensation, travel, personal accident, motor vehicles, contractors' all risks, third party liability, and property all risks. In addition, it offers public bus, car parks, toll roads, and retail department stores services; data centre, facilities management, and value-added services; general insurance; and airport freight forwarding services. Further, the company provides insurance and mortgage services; mobile telephone, data centres, and IT infrastructure services; and transport infrastructure operation and management, port, and air transport and logistic services, as well as Internet of Things (IoT) solutions. Additionally, it offers mobile telephone system operation services; asset and project management services; loan financing; fire prevention and mechanical engineering services; architectural and engineering services; property and facility management services; business aviation centre services; real estate and general agency services; and secretarial services, as well as manufactures and sells ready mixed and precast concrete. The company also engages in the hotel operation business. The company was formerly known as Sun Hung Kai (Holdings) Limited and changed its name to Sun Hung Kai Properties Limited in March 1973. Sun Hung Kai Properties Limited was incorporated in 1972 and is based in Wan Chai, Hong Kong.

This data collection provides information on the characteristics of the housing inventory in 13 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, and real estate taxes as well as repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. Extra information is provided on mobile homes and condominiums including mortgage payments, purchase price, and real estate taxes. In addition to housing characteristics, demographic data for household members are provided, including sex, age, race, income, marital status, and household relationship. Additional data are available for the household head, including Hispanic origin, length of residence, and travel-to-work information. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR08420.v1. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

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About Bikroy, The Largest Marketplace in Bangladesh!

Bikroy is a popular online marketplace in Bangladesh that allows users to buy and sell various items such as vehicles, properties, electronics, mobile phones, and more. It offers Ad Promotion features to help users quickly sell new or used items. Bikroy has a large collection of both new and used goods, and provides filtering options to help users find the desired products. Businesses can also benefit from Bikroy's "Membership" service, which helps them expand.

Bikroy is the largest marketplace in Bangladesh that offers a platform for buying and selling various goods and services. The dataset consists of a wide range of categories including but not limited to: - Vehicles: Buy and sell cars, motorcycles, and other vehicles - Properties: Find and rent apartments, houses, and commercial properties - Jobs: Find job openings or recruit employees - Mobiles: Buy and sell mobile phones and accessories - Electronics: Purchase electronic products like laptops, cameras, and more - Musical Instruments: Buy and sell musical instruments like guitars, keyboards, and more - Fashion: Buy and sell clothing, shoes, and fashion accessories - Home and Living: Buy and sell home décor, furniture, and household items - Beauty and Personal Care: Purchase beauty and personal care products - Sports and Fitness: Buy and sell sports equipment and fitness products - Books, Hobbies, and Learning: Buy and sell books, hobbies, and educational products - Food and Beverages: Buy and sell food and beverage items

The dataset provides detailed information on each item listed for sale, including the product name, description, price, location, and seller information. Additionally, users can easily search for desired items using the filtering options available. The platform is designed to be safe and secure for users, with verified members and authorized dealers listed to provide a trustworthy shopping experience.