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r and efficient for handling large data sets. Another option would be to break down the calculations into smaller chunks or use external tools specifically designed for data manipulation. The second reason is that Excel may struggle with large file sizes. If your workbook contains a lot of data, formatting, and embedded objects, it can become heavy and slow to open or save. To mitigate this, consider removing unnecessary formatting, compressing images, and reducing the number of embedded objects. You can also split the workbook into multiple smaller files or consider using other file formats that are more suitable for handling large amounts of data, such as CSV or database files. Lastly, Excel's performance can be impacted by complex formulas and volatile functions. If your spreadsheet contains a lot of formulas that rely on constantly changing input values, it can slow down calculations and recalculation times. To address this, simplify formulas where possible, minimize the use of volatile functions, or consider using alternative methods like VBA macros or Power Query for data processing. By understanding these potential challenges and applying appropriate remedies, you can overcome the drawbacks of Excel's performance when working with large or complex data.
