{ "data_id": "42685", "name": "Brazilian_houses", "exact_name": "Brazilian_houses", "version": 1, "version_label": null, "description": "This dataset contains 10962 houses to rent with 13 diferent features.\n\n**Outliers **\nCould be some values in dataset that can be consider outlier to analysis. Bearing in mind that a Web Crawler only to get the data, it's possible find some errors like registration error\n\n**Changes in data between versions of dataset **\nSince the WebCrawler was runned in differents days to each version of dataset, there may be differences like adding or deleting houses (in addition to the cities added)\n\nNote: the value '-' in the attribute floor was replaced by '0' as the data contributor stated that this refers to houses with just one floor (see https:\/\/www.kaggle.com\/rubenssjr\/brasilian-houses-to-rent\/discussion).", "format": "arff", "uploader": "Marcos de Paula Bueno", "uploader_id": 11601, "visibility": "public", "creator": "\"Kaggle\"", "contributor": null, "date": "2020-09-30 23:20:02", "update_comment": null, "last_update": "2020-09-30 23:20:02", "licence": "Public", "status": "in_preparation", "error_message": "Problem validating uploaded description file: XML does not correspond to XSD schema. Error Element '{http:\/\/openml.org\/openml}nominal_value': [facet 'pattern'] The value 'São Paulo' is not accepted by the pattern '\\p{IsBasicLatin}*'.\n on line 12 column 0. Error Element '{http:\/\/openml.org\/openml}nominal_value': 'São Paulo' is not a valid value of the atomic type '{http:\/\/openml.org\/openml}basic_latin256'.\n on line 12 column 0. ,Problem validating uploaded description file: XML does not correspond to XSD schema. Error Element '{http:\/\/openml.org\/openml}nominal_value': [facet 'pattern'] The value 'São Paulo' is not accepted by the pattern '\\p{IsBasicLatin}*'.\n on line 12 column 0. Error Element '{http:\/\/openml.org\/openml}nominal_value': 'São Paulo' is not a valid value of the atomic type '{http:\/\/openml.org\/openml}basic_latin256'.\n on line 12 column 0. ", "url": "https:\/\/www.openml.org\/data\/download\/22044538\/dataset", "default_target_attribute": "total_(BRL)", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Brazilian_houses", "This dataset contains 10962 houses to rent with 13 diferent features. Could be some values in dataset that can be consider outlier to analysis. Bearing in mind that a Web Crawler only to get the data, it's possible find some errors like registration error Since the WebCrawler was runned in differents days to each version of dataset, there may be differences like adding or deleting houses (in addition to the cities added) Note: the value '-' in the attribute floor was replaced by '0' as the data " ], "weight": 5 }, "qualities": [], "tags": [], "features": [], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 2, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 2 }