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KL Property Listings Overview
Data Science and Analytics
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About
This dataset features property listings in Kuala Lumpur, Malaysia, derived from web scraping a property listing portal [1]. It provides a tabular overview of properties available for sale, although detailed individual property information is limited to what was available on the overview page [1]. It is a valuable resource for understanding the Kuala Lumpur real estate market [1].
Columns
- Location: Specifies the neighbourhood where the property is situated, with popular areas including Mont Kiara and KLCC [1, 2].
- Price: The sales price of the property, listed in Malaysian Ringgit (RM) [2].
- Rooms: Indicates the number of listed rooms. The format N+M denotes N full bedrooms and M additional rooms [3].
- Bathrooms: The total number of bathrooms within the property [3].
- Car Parks: The number of car parking spaces associated with the property [4].
- Property Type: Describes the specific type of Malaysian property, such as Condominium or Serviced Residence [5].
- Size: Represents the total size of the property, which could be either the land area or the built-up living space [5, 6].
- Furnishing: Details whether the property comes pre-furnished, categorised as Partly Furnished or Fully Furnished [6].
Distribution
The dataset is provided as a CSV data file, named
data_kaggle.csv, and has a size of 5.91 MB [1, 7]. It consists of 8 columns [1]. The number of records for various fields ranges from approximately 36.3k to 53.9k, with some columns having missing values [2-6].Usage
This dataset is ideal for real estate market analysis in Kuala Lumpur, including identifying pricing trends, popular property types, and common property features [1-6]. It can be used for exploratory data analysis of property characteristics and distribution within different neighbourhoods [1, 2].
Coverage
The geographic scope of this dataset is Kuala Lumpur, Malaysia [1]. It encompasses various neighbourhoods within Kuala Lumpur, with Mont Kiara and KLCC being prominent [2]. The dataset represents web scraping results from a property listing website; however, specific time range or demographic scope beyond property listings is not explicitly detailed [1].
License
CC0: Public Domain
Who Can Use It
- Real estate analysts: For market research and trend identification.
- Data scientists: For building predictive models or performing statistical analysis on property data.
- Urban planners: To understand housing types and distribution in Kuala Lumpur.
- Researchers: Studying housing markets and urban development in Malaysia.
Dataset Name Suggestions
- Kuala Lumpur Residential Property Data
- KL Property Listings Overview
- Malaysia Housing Market Snapshot
- Kuala Lumpur Real Estate Details
Attributes
Original Data Source: KL Property Listings Overview
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