{ "data_id": "43520", "name": "5-year-BSE-Sensex-Dataset", "exact_name": "5-year-BSE-Sensex-Dataset", "version": 1, "version_label": "v1.0", "description": "Context\nThe BSE SENSEX (also known as the SP Bombay Stock Exchange Sensitive Index or simply the SENSEX) is a free-float market-weighted stock market index of 30 well-established and financially sound companies listed on Bombay Stock Exchange. The 30 constituent companies which are some of the largest and most actively traded stocks, are representative of various industrial sectors of the Indian economy.\n\nContent\nDataset includes few fundamental statistics of SENSEX. Can you come up with a screener to select investment worthy opportunities? Can you find out any trend of last 5 years from 2015 to 2020.\nWhat other fundamental indicators would be look at? Comment and I may add them in future versions.", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:32:45", "update_comment": null, "last_update": "2022-03-23 13:32:45", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102345\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "5-year-BSE-Sensex-Dataset", "Context The BSE SENSEX (also known as the SP Bombay Stock Exchange Sensitive Index or simply the SENSEX) is a free-float market-weighted stock market index of 30 well-established and financially sound companies listed on Bombay Stock Exchange. The 30 constituent companies which are some of the largest and most actively traded stocks, are representative of various industrial sectors of the Indian economy. Content Dataset includes few fundamental statistics of SENSEX. Can you come up with a screen " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1401, "NumberOfFeatures": 5, "NumberOfClasses": null, "NumberOfMissingValues": 1401, "NumberOfInstancesWithMissingValues": 1401, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0035688793718772305, "PercentageOfNumericFeatures": 100, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 100, "AutoCorrelation": null, "PercentageOfMissingValues": 20 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Date", "index": "0", "type": "numeric", "distinct": "1401", "missing": "0", "min": "23060", "max": "42263", "mean": "32225", "stdev": "4987" }, { "name": "Open", "index": "1", "type": "numeric", "distinct": "1399", "missing": "0", "min": "23143", "max": "42274", "mean": "32374", "stdev": "4995" }, { "name": "High", "index": "2", "type": "numeric", "distinct": "1400", "missing": "0", "min": "22495", "max": "41850", "mean": "31997", "stdev": "4961" }, { "name": "Low", "index": "3", "type": "numeric", "distinct": "1401", "missing": "0", "min": "22952", "max": "41953", "mean": "32176", "stdev": "4974" }, { "name": "Close", "index": "4", "type": "numeric", "distinct": "0", "missing": "1401", "min": "2147483647", "max": "0", "mean": "0", "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 }