{ "data_id": "43755", "name": "Tesla-Stock-Price", "exact_name": "Tesla-Stock-Price", "version": 1, "version_label": "v1.0", "description": "Context\nThe subject matter of this dataset explores Tesla's stock price from its initial public offering (IPO) to yesterday.\nContent\nWithin the dataset one will encounter the following:\n\nThe date - \"Date\"\nThe opening price of the stock - \"Open\"\nThe high price of that day - \"High\"\nThe low price of that day - \"Low\"\nThe closed price of that day - \"Close\"\nThe amount of stocks traded during that day - \"Volume\"\nThe stock's closing price that has been amended to include any distributions\/corporate actions that occurs before next days open - \"Adj[usted] Close\"\n\nAcknowledgements\nThrough Python programming and checking Sentdex out, I acquired the data from Yahoo Finance. The time period represented starts from 06\/29\/2010 to 03\/17\/2017.\nInspiration\nWhat happens when the volume of this stock trading increases\/decreases in a short and long period of time? What happens when there is a discrepancy between the adjusted close and the next day's opening price?", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 07:51:55", "update_comment": null, "last_update": "2022-03-24 07:51:55", "licence": "Database: Open Database, Contents: Database Contents", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102580\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Tesla-Stock-Price", "Context The subject matter of this dataset explores Tesla's stock price from its initial public offering (IPO) to yesterday. Content Within the dataset one will encounter the following: The date - \"Date\" The opening price of the stock - \"Open\" The high price of that day - \"High\" The low price of that day - \"Low\" The closed price of that day - \"Close\" The amount of stocks traded during that day - \"Volume\" The stock's closing price that has been amended to include any distributions\/corporate actio " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1692, "NumberOfFeatures": 7, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.004137115839243499, "PercentageOfNumericFeatures": 85.71428571428571, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Demographics" }, { "uploader": "38960", "tag": "Health" } ], "features": [ { "name": "Date", "index": "0", "type": "string", "distinct": "1692", "missing": "0" }, { "name": "Open", "index": "1", "type": "numeric", "distinct": "1464", "missing": "0", "min": "16", "max": "288", "mean": "132", "stdev": "94" }, { "name": "High", "index": "2", "type": "numeric", "distinct": "1470", "missing": "0", "min": "17", "max": "291", "mean": "135", "stdev": "96" }, { "name": "Low", "index": "3", "type": "numeric", "distinct": "1468", "missing": "0", "min": "15", "max": "280", "mean": "130", "stdev": "93" }, { "name": "Close", "index": "4", "type": "numeric", "distinct": "1528", "missing": "0", "min": "16", "max": "286", "mean": "132", "stdev": "94" }, { "name": "Volume", "index": "5", "type": "numeric", "distinct": "1676", "missing": "0", "min": "118500", "max": "37163900", "mean": "4270741", "stdev": "4295971" }, { "name": "Adj_Close", "index": "6", "type": "numeric", "distinct": "1528", "missing": "0", "min": "16", "max": "286", "mean": "132", "stdev": "94" } ], "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 }