{
    "data_id": "43498",
    "name": "Land-Market-in-Saudi-Arabia",
    "exact_name": "Land-Market-in-Saudi-Arabia",
    "version": 1,
    "version_label": "v1.0",
    "description": "This dataset has been scrapped off sa.aqar.fm to obtain land information such as price, size, street width, and locations. The uncleaned dataset scrapped 4347 rows, but seems like 1395 were duplicated and deleted. Leaving us with 2952 rows. The majority of the data is unfortunately lands based in Riyadh, but there are a good number of lands in Jeddah and Khobar. The dataset is set in Arabia, and decided to keep it that way to keep the integrity of the data. However, the street width, land size, and price have all been converted to numerical values, leaving some of those values as null if couldn't convert them.\nHere is the data description:\nmainlocation        object        The main location of the land\nsublocation        object        Indicates the subregion of the location. Note that only the big cities (ex. Riyadh and Jeddah) have subregions, NaN values are meant to be empty\nneighborhood        object        The neighborhood where the land resides\nfrontage        object        The cardinal direction where the land faces the street\npurpose        object        The purpose for land use\nstreetwidth        int        The length of the street facing the land in meters\nsize        int        The size of the land in meters squared\nPricepm        int        The price per meters squared",
    "format": "arff",
    "uploader": "Elif Ceren Gok",
    "uploader_id": 30125,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:30:33",
    "update_comment": null,
    "last_update": "2022-03-23 13:30:33",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102323\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Land-Market-in-Saudi-Arabia",
            "This dataset has been scrapped off sa.aqar.fm to obtain land information such as price, size, street width, and locations. The uncleaned dataset scrapped 4347 rows, but seems like 1395 were duplicated and deleted. Leaving us with 2952 rows. The majority of the data is unfortunately lands based in Riyadh, but there are a good number of lands in Jeddah and Khobar. The dataset is set in Arabia, and decided to keep it that way to keep the integrity of the data. However, the street width, land size,  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 2951,
        "NumberOfFeatures": 8,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 8085,
        "NumberOfInstancesWithMissingValues": 2951,
        "NumberOfNumericFeatures": 3,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.0027109454422229754,
        "PercentageOfNumericFeatures": 37.5,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 100,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 34.24686546933243
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "mainlocation",
            "index": "0",
            "type": "string",
            "distinct": "2",
            "missing": "2859"
        },
        {
            "name": "sublocation",
            "index": "1",
            "type": "string",
            "distinct": "1",
            "missing": "675"
        },
        {
            "name": "neighborhood",
            "index": "2",
            "type": "string",
            "distinct": "4",
            "missing": "0"
        },
        {
            "name": "frontage",
            "index": "3",
            "type": "string",
            "distinct": "3",
            "missing": "1867"
        },
        {
            "name": "purpose",
            "index": "4",
            "type": "string",
            "distinct": "2",
            "missing": "2681"
        },
        {
            "name": "streetwidth",
            "index": "5",
            "type": "numeric",
            "distinct": "43",
            "missing": "3",
            "min": "1",
            "max": "100",
            "mean": "25",
            "stdev": "15"
        },
        {
            "name": "size",
            "index": "6",
            "type": "numeric",
            "distinct": "879",
            "missing": "0",
            "min": "81",
            "max": "10000000",
            "mean": "10402",
            "stdev": "203323"
        },
        {
            "name": "Pricepm",
            "index": "7",
            "type": "numeric",
            "distinct": "659",
            "missing": "0",
            "min": "1",
            "max": "83333",
            "mean": "2624",
            "stdev": "2971"
        }
    ],
    "nr_of_issues": 0,
    "nr_of_downvotes": 0,
    "nr_of_likes": 0,
    "nr_of_downloads": 0,
    "total_downloads": 0,
    "reach": 0,
    "reuse": 0,
    "impact_of_reuse": 0,
    "reach_of_reuse": 0,
    "impact": 0
}