{ "data_id": "43725", "name": "KNYC-Metars-2016", "exact_name": "KNYC-Metars-2016", "version": 1, "version_label": "v1.0", "description": "Context\nMETAR is a format for reporting weather information. A METAR weather report is predominantly used by pilots in fulfillment of a part of a pre-flight weather briefing, and by meteorologists, who use aggregated METAR information to assist in weather forecasting.\nContent\nThis is the METARs aggregated information for 2016 in KNYC.\nAcknowledgements\nThanks to wunderground for providing the data\nInspiration\nThis dataset is ment to be used as a extra information for those willing to extract conclusions from their own dataset where hourly the weather information could be useful for their predictions \/ analysis. You can contact me if you have any doubt or suggestion.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 07:34:22", "update_comment": null, "last_update": "2022-03-24 07:34:22", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102550\/dataset", "kaggle_url": null, "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": "\"Heat_Index\"", "runs": 0, "suggest": { "input": [ "KNYC-Metars-2016", "Context METAR is a format for reporting weather information. A METAR weather report is predominantly used by pilots in fulfillment of a part of a pre-flight weather briefing, and by meteorologists, who use aggregated METAR information to assist in weather forecasting. Content This is the METARs aggregated information for 2016 in KNYC. Acknowledgements Thanks to wunderground for providing the data Inspiration This dataset is ment to be used as a extra information for those willing to extract conc " ], "weight": 5 }, "qualities": { "NumberOfInstances": 8787, "NumberOfFeatures": 13, "NumberOfClasses": null, "NumberOfMissingValues": 6960, "NumberOfInstancesWithMissingValues": 6492, "NumberOfNumericFeatures": 9, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 73.88187094571526, "PercentageOfMissingValues": 6.092916984006093, "AutoCorrelation": null, "PercentageOfNumericFeatures": 69.23076923076923, "Dimensionality": 0.0014794582906566519, "PercentageOfSymbolicFeatures": 0, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [], "features": [ { "name": "Time", "index": "0", "type": "string", "distinct": "8787", "missing": "0" }, { "name": "Temp.", "index": "1", "type": "numeric", "distinct": "139", "missing": "0", "min": "-18", "max": "36", "mean": "14", "stdev": "10" }, { "name": "Windchill", "index": "2", "type": "numeric", "distinct": "213", "missing": "6492", "min": "-28", "max": "7", "mean": "-1", "stdev": "6" }, { "name": "Heat_Index", "index": "3", "type": "numeric", "distinct": "107", "missing": "7972", "ignore": "1", "min": "27", "max": "43", "mean": "30", "stdev": "3" }, { "name": "Humidity", "index": "4", "type": "numeric", "distinct": "89", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "Pressure", "index": "5", "type": "numeric", "distinct": "463", "missing": "231", "min": "990", "max": "1041", "mean": "1017", "stdev": "7" }, { "name": "Dew_Point", "index": "6", "type": "numeric", "distinct": "143", "missing": "0", "min": "-28", "max": "26", "mean": "5", "stdev": "11" }, { "name": "Visibility", "index": "7", "type": "numeric", "distinct": "17", "missing": "237", "min": "0", "max": "16", "mean": "14", "stdev": "3" }, { "name": "Wind_Dir", "index": "8", "type": "string", "distinct": "18", "missing": "0" }, { "name": "Wind_Speed", "index": "9", "type": "numeric", "distinct": "22", "missing": "0", "min": "0", "max": "137", "mean": "8", "stdev": "6" }, { "name": "Gust_Speed", "index": "10", "type": "numeric", "distinct": "26", "missing": "0", "min": "0", "max": "72", "mean": "6", "stdev": "13" }, { "name": "Precip", "index": "11", "type": "numeric", "distinct": "42", "missing": "0", "min": "0", "max": "16", "mean": "0", "stdev": "1" }, { "name": "Events", "index": "12", "type": "string", "distinct": "6", "missing": "0" }, { "name": "Conditions", "index": "13", "type": "string", "distinct": "16", "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 }