Which method can help visualize data for an audience to improve understanding?

Changing the representation of data is a key method to enhance visualization, which significantly aids in understanding complex information. By reformatting how data is presented—such as transforming raw numbers into graphs, charts, or infographics—audiences can quickly grasp patterns, trends, and relationships that may not be immediately apparent from raw data alone. Visual representations cater to diverse learning styles and can make data more engaging.

Using graphs, for instance, allows for quick comparisons and can highlight significant changes over time, while pie charts can effectively display proportions. Additionally, color-coding can draw attention to key data points, thus facilitating better retention and comprehension.

In contrast, the other methods mentioned may not directly address the visualization aspect of data. Working backwards typically pertains to problem-solving processes, trial and error relates to experimental approaches in learning or testing hypotheses, and forming subgroups might help in understanding specific segments of data but does not aid in visual representation itself. Thus, changing representation is the most effective approach for conveying data effectively to an audience.