Which technique is appropriate when mapping sensitive data to avoid revealing details?

Using a heat map to represent sensitive data is a technique that effectively conceals specific details while still conveying overall trends and patterns. Heat maps visualize data density and distribution across a geographic area, allowing for the communication of significant areas of interest without exposing individual data points or identifiers.

This approach is particularly beneficial when dealing with sensitive information, as it aggregates data into broader categories and shades, helping to maintain privacy and confidentiality. By focusing on the overall intensity of the data rather than exact locations, heat maps provide a strategic way to analyze and visualize sensitive information without inadvertently revealing identifiable details.

In contrast, choices that involve showing data as a point layer or labeling specific addresses could expose sensitive information directly, as these options provide exact locations or even potentially identifiable information. Aggregating data into quantities using graduated colors or symbols can also be beneficial for maintaining a certain level of privacy, but it might not be as effective as a heat map in displaying general trends without risking sensitive details being revealed inadvertently.