{ "data_id": "1091", "name": "SMSA", "exact_name": "SMSA", "version": 1, "version_label": null, "description": "**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nDatasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.\nSource: TunedIT: http:\/\/tunedit.org\/repo\/DASL\n\nDASL file http:\/\/lib.stat.cmu.edu\/DASL\/Datafiles\/SMSA.html\n\nAir Pollution and Mortality\n\nReference: U.S. Department of Labor Statistics\nAuthorization: free use\nDescription: Properties of 60 Standard Metropolitan Statistical Areas (a standard Census Bureau designation of the region around a city) in the United States, collected from a variety of sources.\nThe data include information on the social and economic conditions in these areas, on their climate, and some indices of air pollution potentials.\nNumber of cases: 60\nVariable Names:\n\ncity: City name\nJanTemp: Mean January temperature (degrees Farenheit)\nJulyTemp: Mean July temperature (degrees Farenheit)\nRelHum: Relative Humidity\nRain: Annual rainfall (inches)\nMortality: Age adjusted mortality\nEducation: Median education\nPopDensity: Population density\n%NonWhite: Percentage of non whites\n%WC: Percentage of white collar workers\npop: Population\npop\/house: Population per household\nincome: Median income\nHCPot: HC pollution potential\nNOxPot: Nitrous Oxide pollution potential\nSO2Pot: Sulfur Dioxide pollution potential\nNOx: Nitrous Oxide", "format": "ARFF", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": null, "contributor": null, "date": "2014-10-07 00:03:51", "update_comment": "set targets, ignores", "last_update": "2014-10-07 13:55:30", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/54053\/phpjxpMTR", "kaggle_url": null, "default_target_attribute": "NOx", "row_id_attribute": null, "ignore_attribute": "\"city\"", "runs": 2, "suggest": { "input": [ "SMSA", "Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. 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