Which method allows rearranging data for improved insight during analysis?

Pivoting is the method that allows users to rearrange data, making it possible to explore and analyze the information from different perspectives. This technique is fundamental in data analysis, as it enables a user to manipulate data formats and summarize information efficiently.

In pivoting, users can change the arrangement of rows and columns, which helps uncover patterns, trends, and insights that may not be immediately visible in a standard view. By rotating the data, analysts can focus on different variables or dimensions, allowing for a more comprehensive analysis. This flexibility is crucial for businesses and analysts who need to derive insights from complex data sets.

The other methods, while useful in their own rights, do not specifically focus on rearranging data like pivoting does. Dynamic analysis allows for real-time updates based on changing data, toolbar options provide various functionalities but do not inherently change data arrangement, and filters help in narrowing down data sets but do not rearrange it for analysis. Thus, pivoting is the most effective method for enhancing analytical insights through data rearrangement.