{ "data_id": "43815", "name": "ECDC-daily-data-on-COVID19-geographic-distribution", "exact_name": "ECDC-daily-data-on-COVID19-geographic-distribution", "version": 1, "version_label": "v1.0", "description": "Data on the geographic distribution of COVID-19 cases worldwide.\nThe dataset includes the reported number of diagnosed cases and deaths each day in every country in the world.\nThe main fields include date, number of reported cases, number of reported deaths, country.\nThe csv file is a direct transformation of the original xls provided by the European Centre for Disease Prevention and Control. ECMC is the provider of the data, the dataset is posted here to increase visibility and allow easier access to the Kaggle community.", "format": "arff", "uploader": "Elif Ceren Gok", "uploader_id": 30125, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 15:29:37", "update_comment": null, "last_update": "2022-03-24 15:29:37", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102640\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "ECDC-daily-data-on-COVID19-geographic-distribution", "Data on the geographic distribution of COVID-19 cases worldwide. The dataset includes the reported number of diagnosed cases and deaths each day in every country in the world. The main fields include date, number of reported cases, number of reported deaths, country. The csv file is a direct transformation of the original xls provided by the European Centre for Disease Prevention and Control. ECMC is the provider of the data, the dataset is posted here to increase visibility and allow easier acc " ], "weight": 5 }, "qualities": { "NumberOfInstances": 9513, "NumberOfFeatures": 10, "NumberOfClasses": null, "NumberOfMissingValues": 357, "NumberOfInstancesWithMissingValues": 232, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0010511931041732366, "PercentageOfNumericFeatures": 60, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 2.438768001681909, "AutoCorrelation": null, "PercentageOfMissingValues": 0.37527593818984545 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "38960", "tag": "Medicine" } ], "features": [ { "name": "dateRep", "index": "0", "type": "string", "distinct": "100", "missing": "0" }, { "name": "day", "index": "1", "type": "numeric", "distinct": "31", "missing": "0", "min": "1", "max": "31", "mean": "16", "stdev": "9" }, { "name": "month", "index": "2", "type": "numeric", "distinct": "5", "missing": "0", "min": "1", "max": "12", "mean": "3", "stdev": "1" }, { "name": "year", "index": "3", "type": "numeric", "distinct": "2", "missing": "0", "min": "2019", "max": "2020", "mean": "2020", "stdev": "0" }, { "name": "cases", "index": "4", "type": "numeric", "distinct": "728", "missing": "0", "min": "-9", "max": "34272", "mean": "146", "stdev": "1141" }, { "name": "deaths", "index": "5", "type": "numeric", "distinct": "222", "missing": "0", "min": "0", "max": "2004", "mean": "9", "stdev": "72" }, { "name": "countriesAndTerritories", "index": "6", "type": "string", "distinct": "204", "missing": "0" }, { "name": "geoId", "index": "7", "type": "string", "distinct": "203", "missing": "25" }, { "name": "countryterritoryCode", "index": "8", "type": "string", "distinct": "199", "missing": "189" }, { "name": "popData2018", "index": "9", "type": "numeric", "distinct": "199", "missing": "143", "min": "1000", "max": "1392730000", "mean": "64311958", "stdev": "201564168" } ], "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 }