{ "data_id": "43734", "name": "Nashville-Housing-Data", "exact_name": "Nashville-Housing-Data", "version": 1, "version_label": "v1.0", "description": "Context\nThis is home value data for the hot Nashville market.\nContent\nThere are 56,000+ rows altogether. However, I'm missing home detail data for about half. So if anyone wants to track that down then go for it! I'll be looking in the mean time. Enjoy.\nWill add the Python file that retrieved this data once I clean it up.\nShameless plug:\nvisit this link for my latest project, a SQL magic function for IPython Notebook.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 07:43:56", "update_comment": null, "last_update": "2022-03-24 07:43:56", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102559\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Nashville-Housing-Data", "Context This is home value data for the hot Nashville market. Content There are 56,000+ rows altogether. However, I'm missing home detail data for about half. So if anyone wants to track that down then go for it! I'll be looking in the mean time. Enjoy. Will add the Python file that retrieved this data once I clean it up. Shameless plug: visit this link for my latest project, a SQL magic function for IPython Notebook. 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