{ "data_id": "43605", "name": "Sales_DataSet_of_SuperMarket", "exact_name": "Sales_DataSet_of_SuperMarket", "version": 1, "version_label": "v1.0", "description": "The Story\nThis data set was part of my online course material for Data Analysis using Python over at Udemy.\nThe Contents\nThe dataset is very useful for beginners and novice number crunchers looking to run queries in a relatable and easy-to-understand dataset. It includes the data about shoppers of a supermarket chain having different locations and the total of their purchases.\nAcknowledgements\nThis dataset was organised with the help of Ashutosh Pawar at Udemy.\nInspiration\nI want this database to be for beginners venturing into Data Science, a dataset so relatable and commonplace. Ultimately, driving home the point that Data Science itself is for solving real life problems.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 00:38:55", "update_comment": null, "last_update": "2022-03-24 00:38:55", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102430\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Sales_DataSet_of_SuperMarket", "The Story This data set was part of my online course material for Data Analysis using Python over at Udemy. The Contents The dataset is very useful for beginners and novice number crunchers looking to run queries in a relatable and easy-to-understand dataset. It includes the data about shoppers of a supermarket chain having different locations and the total of their purchases. Acknowledgements This dataset was organised with the help of Ashutosh Pawar at Udemy. Inspiration I want this database t " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1000, "NumberOfFeatures": 13, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.013, "PercentageOfNumericFeatures": 38.46153846153847, "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": "Invoice_ID", "index": "0", "type": "numeric", "distinct": "1000", "missing": "0", "min": "661405", "max": "999665753", "mean": "494493053", "stdev": "287068513" }, { "name": "Date", "index": "1", "type": "string", "distinct": "89", "missing": "0" }, { "name": "Time", "index": "2", "type": "string", "distinct": "506", "missing": "0" }, { "name": "Gender", "index": "3", "type": "string", "distinct": "2", "missing": "0" }, { "name": "Location", "index": "4", "type": "string", "distinct": "3", "missing": "0" }, { "name": "City", "index": "5", "type": "string", "distinct": "3", "missing": "0" }, { "name": "Member", "index": "6", "type": "string", "distinct": "2", "missing": "0" }, { "name": "Category", "index": "7", "type": "string", "distinct": "6", "missing": "0" }, { "name": "Price", "index": "8", "type": "numeric", "distinct": "100", "missing": "0", "min": "1", "max": "100", "mean": "51", "stdev": "29" }, { "name": "Quantity", "index": "9", "type": "numeric", "distinct": "7", "missing": "0", "min": "1", "max": "7", "mean": "4", "stdev": "2" }, { "name": "Total", "index": "10", "type": "numeric", "distinct": "334", "missing": "0", "min": "1", "max": "693", "mean": "208", "stdev": "166" }, { "name": "Payment", "index": "11", "type": "string", "distinct": "3", "missing": "0" }, { "name": "Rating", "index": "12", "type": "numeric", "distinct": "5", "missing": "0", "min": "1", "max": "5", "mean": "3", "stdev": "1" } ], "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 }