{ "data_id": "43462", "name": "Riga-real-estate-dataset", "exact_name": "Riga-real-estate-dataset", "version": 1, "version_label": "v1.0", "description": "Content\nThe dataset contains 4689 real estate objects in Riga.\nColumns description:\n\nop_type - offer type ('For rent', 'For sale', 'Buying', 'Renting', 'Change', 'Other').\ndistrict - district, where real estate object located.\nstreet - address of real estate object.\nrooms - number of rooms.\narea - living area of real estate object.\nfloor - floor of rel estate object.\ntotal_floors - total amount of floors in building.\nhouse_seria - house design ('LT proj.', '602.', 'P. kara', 'Jaun.', 'Specpr.', 'Hru.', '119.', 'M. im.', 'Renov.', '103.', nan, 'Priv. m.', '467.', 'Staina', '104.', 'ehu pr.').\nhouse_type - type of building ('Brick-Panel', 'Panel', 'Wood', 'Masonry', 'Brick', 'Panel-Brick').\ncondition - stuffing premises ('All amenities', 'Partial amenities', 'Without amenities').\nprice - price in EUR.\nlat \/ lon - latitude and longitude of real estate object.", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:23:02", "update_comment": null, "last_update": "2022-03-23 13:23:02", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102287\/dataset", "default_target_attribute": "price", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Riga-real-estate-dataset", "Content The dataset contains 4689 real estate objects in Riga. Columns description: op_type - offer type ('For rent', 'For sale', 'Buying', 'Renting', 'Change', 'Other'). district - district, where real estate object located. street - address of real estate object. rooms - number of rooms. area - living area of real estate object. floor - floor of rel estate object. total_floors - total amount of floors in building. house_seria - house design ('LT proj.', '602.', 'P. kara', 'Jaun.', 'Specpr.', ' " ], "weight": 5 }, "qualities": [], "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "price", "index": "10", "type": "numeric", "distinct": "1055", "missing": "470", "target": "1", "min": "5", "max": "830000", "mean": "58729", "stdev": "76253" }, { "name": "op_type", "index": "0", "type": "string", "distinct": "6", "missing": "0" }, { "name": "district", "index": "1", "type": "string", "distinct": "51", "missing": "15" }, { "name": "street", "index": "2", "type": "string", "distinct": "2543", "missing": "452" }, { "name": "rooms", "index": "3", "type": "string", "distinct": "7", "missing": "189" }, { "name": "area", "index": "4", "type": "numeric", "distinct": "339", "missing": "364", "min": "1", "max": "427", "mean": "61", "stdev": "36" }, { "name": "floor", "index": "5", "type": "numeric", "distinct": "28", "missing": "333", "min": "1", "max": "99", "mean": "5", "stdev": "9" }, { "name": "total_floors", "index": "6", "type": "numeric", "distinct": "29", "missing": "344", "min": "1", "max": "99", "mean": "6", "stdev": "4" }, { "name": "house_seria", "index": "7", "type": "string", "distinct": "15", "missing": "442" }, { "name": "house_type", "index": "8", "type": "string", "distinct": "6", "missing": "450" }, { "name": "condition", "index": "9", "type": "string", "distinct": "3", "missing": "406" }, { "name": "lat", "index": "11", "type": "numeric", "distinct": "2099", "missing": "207", "min": "46", "max": "59", "mean": "56", "stdev": "3" }, { "name": "lon", "index": "12", "type": "numeric", "distinct": "2101", "missing": "207", "min": "-101", "max": "24", "mean": "22", "stdev": "9" } ], "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 }