{
    "data_id": "43713",
    "name": "Weather-in-Szeged-2006-2016",
    "exact_name": "Weather-in-Szeged-2006-2016",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nThis is a dataset for a larger project I have been working on. My idea is to analyze and compare real historical weather with weather folklore.\nContent\nThe CSV file includes a hourly\/daily summary for Szeged, Hungary area, between 2006 and 2016.\nData available in the hourly response:\n\ntime\nsummary\nprecipType\ntemperature\napparentTemperature\nhumidity\nwindSpeed\nwindBearing\nvisibility\nloudCover\npressure\n\nAcknowledgements\nMany thanks to Darksky.net team for their awesome API.",
    "format": "arff",
    "uploader": "Dustin Carrion",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 07:31:30",
    "update_comment": null,
    "last_update": "2022-03-24 07:31:30",
    "licence": "CC BY-NC-SA 4.0",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102538\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Weather-in-Szeged-2006-2016",
            "Context This is a dataset for a larger project I have been working on. My idea is to analyze and compare real historical weather with weather folklore. Content The CSV file includes a hourly\/daily summary for Szeged, Hungary area, between 2006 and 2016. Data available in the hourly response: time summary precipType temperature apparentTemperature humidity windSpeed windBearing visibility loudCover pressure Acknowledgements Many thanks to Darksky.net team for their awesome API. "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 96453,
        "NumberOfFeatures": 12,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 517,
        "NumberOfInstancesWithMissingValues": 517,
        "NumberOfNumericFeatures": 8,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.00012441292650306366,
        "PercentageOfNumericFeatures": 66.66666666666666,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0.5360123583506993,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0.04466769652922494
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        },
        {
            "uploader": "38960",
            "tag": "Statistics"
        }
    ],
    "features": [
        {
            "name": "Formatted_Date",
            "index": "0",
            "type": "string",
            "distinct": "96429",
            "missing": "0"
        },
        {
            "name": "Summary",
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            "type": "string",
            "distinct": "27",
            "missing": "0"
        },
        {
            "name": "Precip_Type",
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            "type": "string",
            "distinct": "2",
            "missing": "517"
        },
        {
            "name": "Temperature_(C)",
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            "max": "40",
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        },
        {
            "name": "Apparent_Temperature_(C)",
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        },
        {
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            "missing": "0",
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            "mean": "1",
            "stdev": "0"
        },
        {
            "name": "Wind_Speed_(km\/h)",
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            "type": "numeric",
            "distinct": "2484",
            "missing": "0",
            "min": "0",
            "max": "64",
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        },
        {
            "name": "Wind_Bearing_(degrees)",
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            "type": "numeric",
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            "missing": "0",
            "min": "0",
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        },
        {
            "name": "Visibility_(km)",
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            "type": "numeric",
            "distinct": "949",
            "missing": "0",
            "min": "0",
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        },
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            "name": "Loud_Cover",
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            "type": "numeric",
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        },
        {
            "name": "Pressure_(millibars)",
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            "missing": "0",
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        },
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            "name": "Daily_Summary",
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            "type": "string",
            "distinct": "214",
            "missing": "0"
        }
    ],
    "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,
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    "impact": 0
}