{ "data_id": "43598", "name": "Global-Cause-of-the-Deaths-other-than-diseases", "exact_name": "Global-Cause-of-the-Deaths-other-than-diseases", "version": 1, "version_label": "v1.0", "description": "Global Cause of the Deaths other than diseases\nThis data was part of the project Global Disease Burden 2017. Data contain the number of deaths within a country and each year along with cause of deaths such conflict and terrorism, famine, pandemic, natural disaster, and Other injuries. These are global causes of deaths other than diseases.\nDescription of the Data\nThe data contains 10 columns and 36 K rows, and the description of the data is as follow..\nCountry: Contains the Names of the Country\nISO_CODE: Is the ISO-3 country identification code\nYear: Year of the number of Deaths\nDeaths: Total death of the individuals (including both male and female) \nCause: Cause of the death such as Conflict and Terrorism\nMale POP: Male Population with given Country\nFemale POP: Female Population within given country\nTotal Pop: Total Population with each country\nGDP: GDP (current US) \nPCAP: GDP per capita (current US)\nInspiration\nThis Data would be helpful to investigate which global cause of death is impacting which country. It would also help to evaluate the rate of change in the causes of death. \nData Visualization\nhttps:\/\/public.tableau.com\/views\/CausedofDeaths1980-2017-GlobalDiseaseBurden\/CausesofDeaths?:language=en:display_count=y:origin=viz_share_link", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 00:37:00", "update_comment": null, "last_update": "2022-03-24 00:37:00", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102423\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Global-Cause-of-the-Deaths-other-than-diseases", "Global Cause of the Deaths other than diseases This data was part of the project Global Disease Burden 2017. Data contain the number of deaths within a country and each year along with cause of deaths such conflict and terrorism, famine, pandemic, natural disaster, and Other injuries. These are global causes of deaths other than diseases. Description of the Data The data contains 10 columns and 36 K rows, and the description of the data is as follow.. Country: Contains the Names of the Country I " ], "weight": 5 }, "qualities": { "NumberOfInstances": 36860, "NumberOfFeatures": 10, "NumberOfClasses": null, "NumberOfMissingValues": 47180, "NumberOfInstancesWithMissingValues": 11256, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.00027129679869777537, "PercentageOfNumericFeatures": 70, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 30.537167661421595, "AutoCorrelation": null, "PercentageOfMissingValues": 12.799782962561041 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Country", "index": "0", "type": "string", "distinct": "194", "missing": "0" }, { "name": "ISO_CODE", "index": "1", "type": "string", "distinct": "194", "missing": "0" }, { "name": "Year", "index": "2", "type": "numeric", "distinct": "38", "missing": "0", "min": "1980", "max": "2017", "mean": "1999", "stdev": "11" }, { "name": "Deaths", "index": "3", "type": "numeric", "distinct": "1640", "missing": "0", "min": "0", "max": "503532", "mean": "248", "stdev": "4081" }, { "name": "Cause", "index": "4", "type": "string", "distinct": "5", "missing": "0" }, { "name": "Male_POP", "index": "5", "type": "numeric", "distinct": "7034", "missing": "8704", "min": "29229", "max": "711687182", "mean": "16153122", "stdev": "62539714" }, { "name": "Female_POP", "index": "6", "type": "numeric", "distinct": "7036", "missing": "8704", "min": "30072", "max": "674707818", "mean": "15924580", "stdev": "59032922" }, { "name": "Total_Pop", "index": "7", "type": "numeric", "distinct": "7033", "missing": "8704", "min": "59301", "max": "1386395000", "mean": "32077702", "stdev": "121556874" }, { "name": "GDP", "index": "8", "type": "numeric", "distinct": "6581", "missing": "10528", "min": "31020000", "max": "2147483647", "mean": "2147483647", "stdev": "2147483647" }, { "name": "PCAP", "index": "9", "type": "numeric", "distinct": "6580", "missing": "10540", "min": "95", "max": "118824", "mean": "8486", "stdev": "14018" } ], "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 }