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Texas Real Estate Trends 2024: 500 Listings 🏠

Explore Texas Properties: Listings From 2024

@kaggle.kanchana1990_texas_real_estate_trends_2024_500_listings

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About this Dataset

Texas Real Estate Trends 2024: 500 Listings 🏠

Overview

This dataset provides a comprehensive snapshot of the Texas real estate market as of 2024, featuring a curated selection of 500 property listings. It encompasses a wide array of properties, reflecting the diverse real estate landscape across Texas. This dataset serves as a foundational tool for understanding market dynamics, property valuations, and regional housing trends within the state.

Data Science Application of Dataset

Given its breadth and depth, this dataset is poised to facilitate a multitude of data science applications. Researchers and analysts can leverage this dataset for exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the Texas real estate market. It is particularly suited for regression analyses to predict property prices based on various features, classification tasks to categorize properties into different market segments, and geographical data analysis to understand regional market dynamics. Despite the dataset's modest size, it offers a rich source for machine learning models aimed at providing insights into price determinants and market trends, ensuring practical applications remain within realistic and achievable bounds.

Full Column Descriptors

  • url: Web address for the property listing on Realtor.com.
  • status: Current status of the listing, indicating availability.
  • id: Unique identifier for each property listing.
  • listPrice: The asking price for the property.
  • baths: Total number of bathrooms, including partials.
  • baths_full: Number of full bathrooms.
  • baths_full_calc: Calculated number of full bathrooms, for consistency.
  • beds: Number of bedrooms in the property.
  • sqft: Total square footage of the property.
  • stories: Number of levels or floors in the property.
  • sub_type: Specific sub-category of the property, if applicable.
  • text: Descriptive narrative provided for the property listing.
  • type: General category of the property (e.g., single-family, condo).
  • year_built: Year the property was constructed.

Ethically Mined Publicly Available Data Only

This dataset has been meticulously compiled, adhering to ethical standards and ensuring all data is sourced from publicly available information. It respects privacy and copyright considerations, utilizing data that is openly accessible and intended for public consumption.

Acknowledgments

Gratitude is extended to Realtor.com for serving as an invaluable resource in the compilation of this dataset. The platform's commitment to providing comprehensive and accessible real estate data has significantly contributed to the depth and quality of this dataset.

Image Acknowledgment

The dataset thumbnail image is credited to Realtor.com, as featured on their official Facebook page. The image serves as a visual representation of the diverse and dynamic nature of the Texas real estate market, captured in this comprehensive dataset. View Image

Tables

Real Estate Texas 500–2024

@kaggle.kanchana1990_texas_real_estate_trends_2024_500_listings.real_estate_texas_500_2024
  • 232.78 KB
  • 501 rows
  • 14 columns
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CREATE TABLE real_estate_texas_500_2024 (
  "url" VARCHAR,
  "status" VARCHAR,
  "id" BIGINT,
  "listprice" DOUBLE,
  "baths" BIGINT,
  "baths_full" DOUBLE,
  "baths_full_calc" DOUBLE,
  "beds" DOUBLE,
  "sqft" DOUBLE,
  "stories" DOUBLE,
  "sub_type" VARCHAR,
  "text" VARCHAR,
  "type" VARCHAR,
  "year_built" DOUBLE
);

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