Analyzing big data in catalysis involves several steps:
1. Data Cleaning: Removing errors, inconsistencies, and irrelevant information from the dataset. 2. Data Integration: Combining data from multiple sources to create a comprehensive dataset. 3. Statistical Analysis: Applying statistical methods to identify patterns and correlations. 4. Machine Learning: Using algorithms to model complex relationships and make predictions. 5. Visualization: Creating visual representations of data to facilitate interpretation and decision-making.
