Reducing the dimensions of spreadsheets is a frequent requirement for users who work with large datasets, complex formulas, or embedded objects. A smaller file is easier to share, faster to open, and consumes less storage space. This reduction is achieved through various optimization techniques applied to the content and structure of the file itself.
Managing file sizes is critical for efficient data handling. Smaller files contribute to reduced network congestion during transmission and lower storage costs for businesses and individuals. Historically, as spreadsheets evolved to incorporate more sophisticated features and higher data volumes, the need for efficient methods to minimize the resulting files grew increasingly important.