{
    "data_id": "43641",
    "name": "traffic_violations_100k",
    "exact_name": "traffic_violations_100k",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nThis dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or the officer issuing the violation will not be published.\nAcknowledgements\nsource of original dataset: https:\/\/catalog.data.gov\/dataset\/traffic-violations-56dda\nInspiration\nThe original dataset was just too time-consuming to perform several basic tasks. Thus, I shuffled it and took the first 100k rows.",
    "format": "arff",
    "uploader": "Dustin Carrion",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 00:57:30",
    "update_comment": null,
    "last_update": "2022-03-24 00:57:30",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102466\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "traffic_violations_100k",
            "Context This dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or the officer issuing the violation will not be published. Acknowledgements source of original dataset: https:\/\/catalog.data.gov\/dataset\/traffic-violations-56dda Inspiration The original dataset was just too time-consuming to perform several basic tasks. Thus, I shuffled it and took the first "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 100000,
        "NumberOfFeatures": 28,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 1985,
        "NumberOfInstancesWithMissingValues": 1231,
        "NumberOfNumericFeatures": 4,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.00028,
        "PercentageOfNumericFeatures": 14.285714285714285,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 1.2309999999999999,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0.07089285714285715
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "Unnamed:_0",
            "index": "0",
            "type": "numeric",
            "distinct": "100000",
            "missing": "0",
            "min": "0",
            "max": "99999",
            "mean": "50000",
            "stdev": "28868"
        },
        {
            "name": "date",
            "index": "1",
            "type": "string",
            "distinct": "1647",
            "missing": "0"
        },
        {
            "name": "time",
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        },
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            "distinct": "2808",
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            "name": "location",
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            "name": "latitude",
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            "type": "numeric",
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        },
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            "mean": "-77",
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        },
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            "type": "string",
            "distinct": "1",
            "missing": "0"
        },
        {
            "name": "belts",
            "index": "8",
            "type": "string",
            "distinct": "2",
            "missing": "0"
        },
        {
            "name": "personal_injury",
            "index": "9",
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            "missing": "0"
        },
        {
            "name": "property_damage",
            "index": "10",
            "type": "string",
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            "missing": "0"
        },
        {
            "name": "fatal",
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            "type": "string",
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            "missing": "0"
        },
        {
            "name": "commercial_license",
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            "missing": "0"
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            "name": "hazmat",
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        },
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            "name": "commercial_vehicle",
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            "missing": "0"
        },
        {
            "name": "alcohol",
            "index": "15",
            "type": "string",
            "distinct": "2",
            "missing": "0"
        },
        {
            "name": "work_zone",
            "index": "16",
            "type": "string",
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            "missing": "0"
        },
        {
            "name": "vehicletype",
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            "missing": "0"
        },
        {
            "name": "year",
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            "mean": "2005",
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        },
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            "distinct": "3497",
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        },
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            "missing": "1076"
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            "name": "race",
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            "missing": "0"
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            "name": "gender",
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            "missing": "0"
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            "name": "driver_state",
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            "type": "string",
            "distinct": "56",
            "missing": "0"
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            "name": "dl_state",
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            "distinct": "61",
            "missing": "151"
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    "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
}