What is heat mapping commonly used to illustrate?

Heat mapping is commonly used to illustrate variations in intensity or frequency across different variables or data points. This technique employs color gradients, where areas of higher intensity or occurrence are represented with warmer colors (like red or orange), while lower intensity areas might be shown using cooler colors (like blue or green). This visual representation allows analysts to quickly identify patterns, trends, and outliers within complex datasets.

For instance, in marketing analytics, heat maps can show which areas on a website attract the most user engagement, helping businesses optimize their layout and design for better user experience. In geographical data analysis, heat maps can visualize population density or the frequency of specific events across different locations. This ability to effectively communicate where concentrations lie makes heat mapping a powerful tool in data analysis and decision-making.