{ "data_id": "43441", "name": "The-Office-Dataset", "exact_name": "The-Office-Dataset", "version": 1, "version_label": "v1.0", "description": "Context\nThe Office is an American Mockumentary sitcom television series that depicts the everyday lives of office employees in the Scranton, Pennsylvania, branch of the fictional Dunder Mifflin Paper Company.\nContent\nThe dataset consists of 12 columns and 188 rows scrapped from IMDb. \nAcknowledgements\nIMDb : https:\/\/www.imdb.com\/title\/tt0386676\/", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:21:13", "update_comment": null, "last_update": "2022-03-23 13:21:13", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102266\/dataset", "default_target_attribute": "Ratings", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "The-Office-Dataset", "Context The Office is an American Mockumentary sitcom television series that depicts the everyday lives of office employees in the Scranton, Pennsylvania, branch of the fictional Dunder Mifflin Paper Company. Content The dataset consists of 12 columns and 188 rows scrapped from IMDb. Acknowledgements IMDb : https:\/\/www.imdb.com\/title\/tt0386676\/ " ], "weight": 5 }, "qualities": { "NumberOfInstances": 188, "NumberOfFeatures": 12, "NumberOfClasses": 0, "NumberOfMissingValues": 159, "NumberOfInstancesWithMissingValues": 159, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.06382978723404255, "PercentageOfNumericFeatures": 50, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 84.57446808510637, "AutoCorrelation": 0.5299465240641714, "PercentageOfMissingValues": 7.047872340425531 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Ratings", "index": "4", "type": "numeric", "distinct": "30", "missing": "0", "target": "1", "min": "7", "max": "10", "mean": "8", "stdev": "1" }, { "name": "Unnamed:_0", "index": "0", "type": "numeric", "distinct": "188", "missing": "0", "min": "0", "max": "187", "mean": "94", "stdev": "54" }, { "name": "Season", "index": "1", "type": "numeric", "distinct": "9", "missing": "0", "min": "1", "max": "9", "mean": "5", "stdev": "2" }, { "name": "EpisodeTitle", "index": "2", "type": "string", "distinct": "188", "missing": "0" }, { "name": "About", "index": "3", "type": "string", "distinct": "188", "missing": "0" }, { "name": "Votes", "index": "5", "type": "numeric", "distinct": "178", "missing": "0", "min": "1832", "max": "10515", "mean": "2838", "stdev": "1063" }, { "name": "Viewership", "index": "6", "type": "numeric", "distinct": "149", "missing": "0", "min": "3", "max": "23", "mean": "7", "stdev": "2" }, { "name": "Duration", "index": "7", "type": "numeric", "distinct": "13", "missing": "0", "min": "19", "max": "60", "mean": "27", "stdev": "7" }, { "name": "Date", "index": "8", "type": "string", "distinct": "184", "missing": "0" }, { "name": "GuestStars", "index": "9", "type": "string", "distinct": "28", "missing": "159" }, { "name": "Director", "index": "10", "type": "string", "distinct": "54", "missing": "0" }, { "name": "Writers", "index": "11", "type": "string", "distinct": "47", "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, "reach_of_reuse": 0, "impact": 0 }