Heatmaps are powerful visual tools that represent data intensity using color gradients, making it easier to identify patterns and trends.
Typically, warmer colors like red and orange indicate higher intensity or activity, while cooler colors like blue and green represent lower levels.
The term heat map or heatmap was trademarked by Cormac Kinney in 1993, and the first large-scale application of it looked like a table of colored rectangular cell blocks. The purpose of this heatmap visualization was to try to show data from stock markets in a user-friendly way that could then help identify trends and beat financial markets.
Simply put, they were data visualizations that used color to represent values in a matrix.
Over time, heat mapping evolved beyond their financial roots, and you can find heat map examples in fields that range from website analytics and geographic mapping to retail, meteorology, and sports performance.
Their ability to simplify complex datasets and provide immediate visual clarity has made them an indispensable tool for decision-making. Whether tracking user clicks on a webpage or mapping customer behavior across regions, heatmaps continue to unlock actionable insights in a visually intuitive way.