Complex data analysis in catalysis involves the systematic examination of large and intricate datasets generated during catalytic processes. These datasets can originate from various sources such as experimental results, computational simulations, and real-time monitoring systems. The goal is to extract meaningful insights that can help in understanding the catalyst's behavior, optimizing reaction conditions, and designing better catalysts.
