Data-driven art

Data-driven art uses digital information—such as numbers, patterns, or real-world statistics—to create visual or multimedia artworks. Artists analyze data sets and translate them into images, sounds, or interactive experiences, revealing hidden patterns, stories, or relationships within the data. This approach connects abstract information to aesthetic expression, making complex or vast datasets accessible and engaging. Essentially, data-driven art transforms raw data into meaningful, often visually striking pieces that invite viewers to explore, interpret, and reflect on the information behind them.