To optimize Excel performance with large datasets, you can also disable automatic calculations and update settings to manual mode. This prevents Excel from recalculating the entire workbook every time you make a change. Another useful technique is to enable the 'Compact and Repair Database' option in the Trust Center settings, as this can help improve performance by reducing file size. Additionally, be mindful of how you use conditional formatting and avoid applying it to entire columns or rows, as it can slow down calculations.

One important practice is to minimize the use of volatile functions, such as OFFSET and INDIRECT, as they can slow down calculations. Instead, try to use INDEX and MATCH functions. Additionally, avoiding unnecessary array formulas can greatly improve performance. Another tip is to use tables instead of ranges, as tables have built-in filtering and sorting capabilities. Lastly, consider using Power Query to shape and transform your data before importing it into Excel for analysis.

When working with large datasets in Excel, it's crucial to avoid unnecessary formulas and volatile functions. Optimize your formulas by using absolute references instead of relative references wherever possible. Additionally, consider using Power Pivot to create data models that can handle larger datasets more efficiently. Additionally, if your spreadsheet contains complex formulas, try breaking them down into smaller, more manageable parts. Lastly, when importing external data, make sure to only import the columns you actually need to minimize memory usage.