Catalysis involves multiple variables such as reaction rates, temperature, pressure, and the type of catalyst used. Pivot tables can help in:
1. Data Summarization: By summarizing large datasets, pivot tables allow researchers to quickly understand the impact of different variables on the reaction outcomes. 2. Data Filtering: Researchers can filter data to focus on specific conditions or ranges, making it easier to isolate the factors that most influence catalytic efficiency. 3. Trend Analysis: With pivot tables, scientists can track how changes in variables like temperature and pressure affect reaction rates over time.
