{
    "data_id": "43631",
    "name": "US-Real-Estate-Listings-by-Zip-Code",
    "exact_name": "US-Real-Estate-Listings-by-Zip-Code",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nReal Estate inventory of listings from 2012-2017\nContent\nIncludes data for all Real Estate listings in the US, such as,  active listings, prices, days on market, price changes, and pending listings by county.\n\nMedian Listing Price: The median listing price within the specified geography during the specified month.\nActive Listing Count: The count of active listings within the specified geography during the specified month. The active listing count tracks the number of for sale properties on the market, excluding pending listings where a pending status is available. This is a snapsot measure of how many active listings can be expected on any given day of the specified month.\nMedian Days on Market: The median number of days property listings spend on the market within the specified geography during the specified month. Time spent on the market is defined as the time between the initial listing of a property and either its closing date or the date it is taken off the market.\nNew Listing Count: The count of new listings added to the market within the specified geography. The new listing count represents a typical weeks worth of new listings in a given month. The new listing count can be multiplied by the number of weeks in a month to produce a monthly new listing count.\nPrice Increase Count: The count of listings which have had their price increased within the specified geography. The price increase count represents a typical weeks worth of listings which have had their price increased in a given month. The price increase count can be multiplied by the number of weeks in a month to produce a monthly price increase count.\nPending Listing Count: The count of pending listings within the specified geography during the specified month, if a pending definition is available for that geography. This is a snapsot measure of how many pending listings can be expected on any given day of the specified month.\n\nAcknowledgements\nThis data set and other similar (including details on all columns) can be found here: Realtor.com \nInspiration\nI downloaded this data to research it and make a best decision when buying a home in Austin, TX.",
    "format": "arff",
    "uploader": "Dustin Carrion",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 00:50:02",
    "update_comment": null,
    "last_update": "2022-03-24 00:50:02",
    "licence": "CC0: Public Domain",
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    "url": "https:\/\/www.openml.org\/data\/download\/22102456\/dataset",
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        "input": [
            "US-Real-Estate-Listings-by-Zip-Code",
            "Context Real Estate inventory of listings from 2012-2017 Content Includes data for all Real Estate listings in the US, such as, active listings, prices, days on market, price changes, and pending listings by county. Median Listing Price: The median listing price within the specified geography during the specified month. Active Listing Count: The count of active listings within the specified geography during the specified month. The active listing count tracks the number of for sale properties on "
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        "NumberOfNumericFeatures": 31,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 3.490523229432092e-5,
        "PercentageOfNumericFeatures": 91.17647058823529,
        "MajorityClassPercentage": null,
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        "MajorityClassSize": null,
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    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
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