Data-Driven Drawing is a computational drawing methodology that distinguishes itself by generating visual forms and compositions through the direct translation and visualization of quantitative datasets, algorithmic rules, or empirical observations, thereby grounding artistic creation in systematic data inputs rather than subjective intuition or traditional representational practices.