Data collection and analysis are fundamental components of any research design. In nanotechnology, this often involves high-resolution imaging and precise measurements. Data analysis techniques can include statistical methods, computational modeling, and machine learning algorithms. Ensuring that data is accurately collected and properly analyzed is essential for drawing meaningful conclusions.
