subject_target = "[subject]" [x_coord], [y_coord], [physical_prop_type], [era_label] 0.1, 0.5, "ai_infer(earliest/oldest miniature version of subject)", "origin" 0.5, 0.8, "ai_infer(mid-century miniature version of subject)", "golden age" 0.9, 0.2, "ai_infer(modern/futuristic miniature version of subject)", "modern" // spatial distribution logic: plot 500+ rows of this csv data onto a flat, off-white studio canvas with faint gridlines. each data point is a highly detailed, 3d macro-photographed object. the physical placement of these 500+ objects mathematically aggregates to form the giant, unmistakable silhouette of subject_target. include elegant axis labels.