Description: Subtotals are intermediate totals that summarize a part of the data before reaching the final total. They are commonly used in data analysis to provide a clearer and more structured view of information. By breaking down data into smaller segments, subtotals allow analysts and decision-makers to identify patterns, trends, and anomalies in the data. This technique is especially useful in large and complex datasets, where an overall total may not provide enough context. Subtotals can be calculated at different levels, such as by categories, subcategories, or time periods, and can include sums, averages, counts, and other statistical calculations. Additionally, subtotals facilitate comparisons between different groups of data, helping users better understand the composition of final totals. In data analysis tools and spreadsheet software, subtotals can be calculated automatically, saving time and reducing the risk of manual errors. In summary, subtotals are an essential tool in data analysis that enhances the clarity and understanding of presented information.
