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r and faster to process. Another solution would be to split your data into smaller chunks and perform calculations separately on each chunk. Reason number two is the presence of array formulas in your spreadsheet. Array formulas can be powerful, but they can also slow down your file significantly. If you have a lot of array formulas in your Excel file, one option is to convert them into regular formulas by using helper columns. This will make your file faster and more manageable. Reason number three is the excessive use of formatting and styles. Excel allows you to apply various formatting options to your data, but using too many can make your file heavy and difficult to work with. To address this, you can reduce the amount of formatting and use styles sparingly. Finally, reason number four is the use of volatile functions. Volatile functions, such as NOW and RAND, recalculate every time the worksheet changes, even if their inputs haven't changed. If you have many volatile functions in your file, it can slow down performance. To mitigate this, you can replace volatile functions with non-volatile alternatives or use them sparingly. In summary, when working with Excel, be mindful of the size of your data, the presence of array formulas, excessive formatting, and the use of volatile functions, as these can all contribute to slower performance. Consider using pivot tables, converting array formulas to regular ones, reducing formatting, and minimizing the use of volatile functions to improve your experience.
