Data processing involves converting raw data into a format suitable for analysis. This includes:
Data Cleaning: Removing outliers and correcting errors. Data Transformation: Normalizing data and transforming variables if necessary. Data Integration: Combining data from various sources for comprehensive analysis.
Data analysis may involve statistical methods, kinetic modeling, and computational simulations to understand reaction mechanisms and optimize conditions.
