Data analysis in nanotechnology involves the use of computational tools and algorithms to interpret and make sense of the collected data. Techniques such as machine learning and artificial intelligence are increasingly being used to identify patterns, predict behaviors, and optimize processes. Effective data analysis leads to more accurate models and enhances the predictive capabilities of nanotechnological applications.
