DEVELOPMENT...      {
    "data_id": "43474",
    "name": "Used-Cars-In-Saudi-Arabia",
    "exact_name": "Used-Cars-In-Saudi-Arabia",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nYallamotor is website in ksa have a collection of used vehicles for sale.\nI used the Yallamotor website to create dataset of used vehicles in KSA.\nContent\nDataset includes ( 2287 ) vehicles information like price ,car model ,etc .. \nAcknowledgements\nThe data in this dataset has been scraped using BeautifulSoup from the Yallamotor website.\nInspiration\nData will be handy to study and practice different models and approaches.\nAs a further step you can use regression model to predict the car price based on the different features.",
    "format": "arff",
    "uploader": "Mark Murphy",
    "uploader_id": 30125,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:25:22",
    "update_comment": null,
    "last_update": "2022-03-23 13:25:22",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102299\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Used-Cars-In-Saudi-Arabia",
            "Context Yallamotor is website in ksa have a collection of used vehicles for sale. I used the Yallamotor website to create dataset of used vehicles in KSA. Content Dataset includes ( 2287 ) vehicles information like price ,car model ,etc .. Acknowledgements The data in this dataset has been scraped using BeautifulSoup from the Yallamotor website. Inspiration Data will be handy to study and practice different models and approaches. As a further step you can use regression model to predict the car  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 2287,
        "NumberOfFeatures": 6,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 3,
        "NumberOfSymbolicFeatures": 0,
        "PercentageOfSymbolicFeatures": 0,
        "AutoCorrelation": null,
        "PercentageOfNumericFeatures": 50,
        "PercentageOfMissingValues": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfBinaryFeatures": 0,
        "NumberOfBinaryFeatures": 0,
        "MinorityClassSize": null,
        "MinorityClassPercentage": null,
        "MajorityClassSize": null,
        "MajorityClassPercentage": null,
        "Dimensionality": 0.0026235242675994755
    },
    "tags": [],
    "features": [
        {
            "name": "car_brand",
            "index": "0",
            "type": "string",
            "distinct": "48",
            "missing": "0"
        },
        {
            "name": "car_model",
            "index": "1",
            "type": "string",
            "distinct": "219",
            "missing": "0"
        },
        {
            "name": "car_driven",
            "index": "2",
            "type": "numeric",
            "distinct": "553",
            "missing": "0",
            "min": "0",
            "max": "4005235",
            "mean": "99621",
            "stdev": "142546"
        },
        {
            "name": "car_transmission",
            "index": "3",
            "type": "string",
            "distinct": "3",
            "missing": "0"
        },
        {
            "name": "car_model_year",
            "index": "4",
            "type": "numeric",
            "distinct": "31",
            "missing": "0",
            "min": "1979",
            "max": "2022",
            "mean": "2014",
            "stdev": "4"
        },
        {
            "name": "car_price",
            "index": "5",
            "type": "numeric",
            "distinct": "262",
            "missing": "0",
            "min": "123",
            "max": "50000000",
            "mean": "89559",
            "stdev": "1046340"
        }
    ],
    "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
}