{
    "data_id": "43438",
    "name": "Goodreads-Books---31-Features",
    "exact_name": "Goodreads-Books---31-Features",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nThe official Goodread's API limits retrievable data, so I decided to scrape the actual HTTP pages and grab additional details on each book.\nContent\nBooks are scraped from a list titles the \"Best Books Ever\" which can be found here https:\/\/www.goodreads.com\/list\/show\/1.Best_Books_Ever\nAcknowledgements\nThanks to Goodreads for housing the data.",
    "format": "arff",
    "uploader": "Onur Yildirim",
    "uploader_id": 30126,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:21:01",
    "update_comment": null,
    "last_update": "2022-03-23 13:21:01",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102263\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Goodreads-Books---31-Features",
            "Context The official Goodread's API limits retrievable data, so I decided to scrape the actual HTTP pages and grab additional details on each book. Content Books are scraped from a list titles the \"Best Books Ever\" which can be found here https:\/\/www.goodreads.com\/list\/show\/1.Best_Books_Ever Acknowledgements Thanks to Goodreads for housing the data. "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 52199,
        "NumberOfFeatures": 31,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 285951,
        "NumberOfInstancesWithMissingValues": 52199,
        "NumberOfNumericFeatures": 10,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.0005938811088335025,
        "PercentageOfNumericFeatures": 32.25806451612903,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 100,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 17.671269193761592
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
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            "index": "0",
            "type": "numeric",
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            "missing": "0",
            "min": "1",
            "max": "54442989",
            "mean": "10154425",
            "stdev": "11644432"
        },
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        },
        {
            "name": "link",
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        },
        {
            "name": "series",
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        {
            "name": "cover_link",
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            "missing": "607"
        },
        {
            "name": "author",
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            "missing": "6"
        },
        {
            "name": "author_link",
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            "missing": "0"
        },
        {
            "name": "rating_count",
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            "max": "6801077",
            "mean": "18874",
            "stdev": "116398"
        },
        {
            "name": "review_count",
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            "type": "numeric",
            "distinct": "5627",
            "missing": "0",
            "min": "0",
            "max": "169511",
            "mean": "1013",
            "stdev": "4055"
        },
        {
            "name": "average_rating",
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            "type": "numeric",
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            "missing": "0",
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        },
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        },
        {
            "name": "two_star_ratings",
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            "type": "numeric",
            "distinct": "4904",
            "missing": "0",
            "min": "0",
            "max": "529060",
            "mean": "935",
            "stdev": "5890"
        },
        {
            "name": "one_star_ratings",
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            "distinct": "3118",
            "missing": "0",
            "min": "0",
            "max": "537793",
            "mean": "414",
            "stdev": "3843"
        },
        {
            "name": "number_of_pages",
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            "type": "numeric",
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            "missing": "2330",
            "min": "0",
            "max": "14777",
            "mean": "329",
            "stdev": "253"
        },
        {
            "name": "date_published",
            "index": "16",
            "type": "string",
            "distinct": "9120",
            "missing": "860"
        },
        {
            "name": "publisher",
            "index": "17",
            "type": "string",
            "distinct": "10369",
            "missing": "3935"
        },
        {
            "name": "original_title",
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            "type": "string",
            "distinct": "36190",
            "missing": "13266"
        },
        {
            "name": "genre_and_votes",
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            "missing": "2840"
        },
        {
            "name": "isbn",
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        },
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            "name": "isbn13",
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            "missing": "12692"
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            "name": "asin",
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            "missing": "46963"
        },
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            "name": "settings",
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            "missing": "40687"
        },
        {
            "name": "characters",
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            "type": "string",
            "distinct": "12260",
            "missing": "38509"
        },
        {
            "name": "awards",
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            "missing": "41574"
        },
        {
            "name": "amazon_redirect_link",
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            "missing": "0"
        },
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            "name": "worldcat_redirect_link",
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            "missing": "3985"
        },
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            "missing": "3994"
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            "name": "books_in_series",
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            "type": "string",
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            "missing": "30121"
        },
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            "name": "description",
            "index": "30",
            "type": "string",
            "distinct": "49164",
            "missing": "2595"
        }
    ],
    "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
}