Data aesthetics
summary
Code written in Python reads Postgres data directory and uses relation forks to pull raw row-and-column bytes, then writes binary as BMP by assigning dimensions so any byte stream becomes pixels. Resulting images show horizontal bands from rows and vertical textures from columns; examples demonstrate recognizable patterns and a few surprisingly clear motifs. Next steps are to apply ML filters to enhance visual structure and to map byte sequences into notes so the same files produce music.
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