{ "data_id": "43425", "name": "Alcohol-Consumption-in-Russia-(1998-2016)", "exact_name": "Alcohol-Consumption-in-Russia-(1998-2016)", "version": 1, "version_label": "v1.0", "description": "Context\nThis is Alcohol Consumption in Russia (1998-2016) Dataset. It contains values of consumption for wine, beer, vodka, brandy and champagne.\nContent\nDataset has 1615 rows and 7 columns. Keys for columns:\n\n\"year\" - year (1998-2016)\n\"region\" - name of a federal subject of Russia. It could be oblast, republic, krai, autonomous okrug, federal city and a single autonomous oblast\n\"wine\" - sale of wine in litres by year per capita\n\"beer\" - sale of beer in litres by year per capita\n\"vodka\" - sale of vodka in litres by year per capita\n\"champagne\" - sale of champagne in litres by year per capita\n\"brandy\" - sale of brandy in litres by year per capita\n\nAcknowledgements\n (UIISS) - Unified interdepartmental information and statistical system\nInspiration\nYou can analyze the relationships between various years, find best regions by each feature and compare them.", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:15:48", "update_comment": null, "last_update": "2022-03-23 13:15:48", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102250\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Alcohol-Consumption-in-Russia-(1998-2016)", "Context This is Alcohol Consumption in Russia (1998-2016) Dataset. It contains values of consumption for wine, beer, vodka, brandy and champagne. Content Dataset has 1615 rows and 7 columns. Keys for columns: \"year\" - year (1998-2016) \"region\" - name of a federal subject of Russia. It could be oblast, republic, krai, autonomous okrug, federal city and a single autonomous oblast \"wine\" - sale of wine in litres by year per capita \"beer\" - sale of beer in litres by year per capita \"vodka\" - sale of " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1615, "NumberOfFeatures": 7, "NumberOfClasses": null, "NumberOfMissingValues": 311, "NumberOfInstancesWithMissingValues": 66, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0043343653250774, "PercentageOfNumericFeatures": 85.71428571428571, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 4.086687306501548, "AutoCorrelation": null, "PercentageOfMissingValues": 2.7509951348960637 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "38960", "tag": "Meteorology" } ], "features": [ { "name": "year", "index": "0", "type": "numeric", "distinct": "19", "missing": "0", "min": "1998", "max": "2016", "mean": "2007", "stdev": "5" }, { "name": "region", "index": "1", "type": "string", "distinct": "85", "missing": "0" }, { "name": "wine", "index": "2", "type": "numeric", "distinct": "210", "missing": "63", "min": "0", "max": "18", "mean": "6", "stdev": "3" }, { "name": "beer", "index": "3", "type": "numeric", "distinct": "796", "missing": "58", "min": "0", "max": "207", "mean": "51", "stdev": "25" }, { "name": "vodka", "index": "4", "type": "numeric", "distinct": "313", "missing": "61", "min": "0", "max": "41", "mean": "12", "stdev": "5" }, { "name": "champagne", "index": "5", "type": "numeric", "distinct": "107", "missing": "63", "min": "0", "max": "6", "mean": "1", "stdev": "1" }, { "name": "brandy", "index": "6", "type": "numeric", "distinct": "76", "missing": "66", "min": "0", "max": "2", "mean": "1", "stdev": "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 }