{ "dataset_info": { "name": "Shoe Size Measurements Dataset", "version": "1.0.0", "created": "2025-02", "samples": { "original": 30, "augmented": 308 } }, "features": { "numerical": [ "US size", "Shoe size (mm)", "Actual measured shoe length" ], "categorical": [ "Type of shoe", "Shoe color", "Shoe Brand" ], "dtypes": { "US size": "int64", "Shoe size (mm)": "int64", "Actual measured shoe length": "int64", "Type of shoe": "object", "Shoe color": "object", "Shoe Brand": "object" } }, "statistics": { "summary": { "US size": { "count": 30.0, "mean": 5.886666666666667, "std": 0.7959957257437374, "min": 3.6, "25%": 6.0, "50%": 6.0, "75%": 6.0, "max": 8.0 }, "Shoe size (mm)": { "count": 30.0, "mean": 227.8, "std": 6.00804058942164, "min": 218.0, "25%": 223.0, "50%": 230.0, "75%": 230.0, "max": 240.0 }, "Actual measured shoe length": { "count": 30.0, "mean": 230.5, "std": 6.611119160302901, "min": 220.0, "25%": 225.0, "50%": 230.0, "75%": 235.0, "max": 240.0 } }, "correlation": { "US size": { "US size": 1.0, "Shoe size (mm)": 0.5805801383985546, "Actual measured shoe length": 0.19461339577808637 }, "Shoe size (mm)": { "US size": 0.5805801383985546, "Shoe size (mm)": 1.0, "Actual measured shoe length": 0.5582196652059345 }, "Actual measured shoe length": { "US size": 0.19461339577808637, "Shoe size (mm)": 0.5582196652059345, "Actual measured shoe length": 1.0 } }, "missing_values": { "US size": 0, "Shoe size (mm)": 0, "Actual measured shoe length": 0, "Type of shoe": 0, "Shoe color": 0, "Shoe Brand": 0 }, "categorical_distributions": { "Type of shoe": { "Slippers": 7, "Sneakers": 7, "Heels": 6, "Loafers": 4, "Boots": 3, "Sneakers ": 2, "Slippers ": 1 }, "Shoe color": { "Black": 10, "White": 7, "Brown": 2, "Red": 2, "Blue": 2, "Pink": 2, "Grey": 1, "Purple": 1, "Green": 1, "Beige": 1, "Grey ": 1 }, "Shoe Brand": { "Nike": 4, "Steve Madden": 4, "Adidas": 3, "Koi": 3, "Onitsuka Tiger": 2, "Loulouseoul": 2, "Lemaire ": 2, "Asics ": 1, "North Face ": 1, "Puma": 1, "Balenciaga": 1, "Crocs": 1, "Reformation": 1, "Dolce Vita": 1, "Bottega Veneta ": 1, "Ami": 1, "Asics": 1 } } }, "augmentation": { "factor": 10.266666666666667, "techniques": [ "Gaussian noise", "SMOTE-inspired", "Linear interpolation" ] } }