{ "data_id": "43519", "name": "Brazilian-IBOV-Historical-Data-from-1992-to-2019", "exact_name": "Brazilian-IBOV-Historical-Data-from-1992-to-2019", "version": 1, "version_label": "v1.0", "description": "About the dataset\nIn this dataset you can find prices data from the biggest brazillian stock index(IBOV) from 1992 to 2019 and also day of the week and month informations:\n\ndate: date in format dd\/mm\/yy\ndayofweek: day of week as string\nmonth: the month of the year\nopen: open prices in points\nclose: close prices in points\nhigh: high prices in points\nlow: low prices in points\n\nInspiration\nHow does the IBOV index behave over the years? \nWhat is the average annual return?\nIn what month does this index tend to perform better?", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:32:39", "update_comment": null, "last_update": "2022-03-23 13:32:39", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102344\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Brazilian-IBOV-Historical-Data-from-1992-to-2019", "About the dataset In this dataset you can find prices data from the biggest brazillian stock index(IBOV) from 1992 to 2019 and also day of the week and month informations: date: date in format dd\/mm\/yy dayofweek: day of week as string month: the month of the year open: open prices in points close: close prices in points high: high prices in points low: low prices in points Inspiration How does the IBOV index behave over the years? What is the average annual return? In what month does this index " ], "weight": 5 }, "qualities": { "NumberOfInstances": 6887, "NumberOfFeatures": 8, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0011616088282270945, "PercentageOfNumericFeatures": 62.5, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "date", "index": "0", "type": "string", "distinct": "6887", "missing": "0" }, { "name": "day_of_week", "index": "1", "type": "string", "distinct": "5", "missing": "0" }, { "name": "month", "index": "2", "type": "string", "distinct": "12", "missing": "0" }, { "name": "year", "index": "3", "type": "numeric", "distinct": "28", "missing": "0", "min": "1992", "max": "2019", "mean": "2005", "stdev": "8" }, { "name": "open", "index": "4", "type": "numeric", "distinct": "6462", "missing": "0", "min": "1157", "max": "109572", "mean": "35503", "stdev": "27299" }, { "name": "close", "index": "5", "type": "numeric", "distinct": "6456", "missing": "0", "min": "1157", "max": "109581", "mean": "35517", "stdev": "27309" }, { "name": "high", "index": "6", "type": "numeric", "distinct": "6435", "missing": "0", "min": "1194", "max": "109672", "mean": "35882", "stdev": "27530" }, { "name": "low", "index": "7", "type": "numeric", "distinct": "6464", "missing": "0", "min": "1115", "max": "108360", "mean": "35128", "stdev": "27071" } ], "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 }