Data analysis is a critical component in extracting meaningful insights from raw data. Techniques such as:
- Statistical Analysis: Helps in understanding the significance and correlation of data. - Machine Learning: Algorithms can predict catalytic performance and optimize reaction conditions. - Multivariate Analysis: Useful for handling complex datasets and identifying key variables influencing catalytic activity. - Kinetic Modeling: Helps in developing mechanistic models to describe reaction pathways and rates.
